diff --git a/.buildinfo b/.buildinfo new file mode 100644 index 00000000..384f461c --- /dev/null +++ b/.buildinfo @@ -0,0 +1,4 @@ +# Sphinx build info version 1 +# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. +config: f9b42652519873cd8f19081c1600598f +tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/_downloads/0462c80a242cab8cc5e6434efa932671/plot_svrg.ipynb b/_downloads/0462c80a242cab8cc5e6434efa932671/plot_svrg.ipynb new file mode 100644 index 00000000..f1dc39f8 --- /dev/null +++ b/_downloads/0462c80a242cab8cc5e6434efa932671/plot_svrg.ipynb @@ -0,0 +1,54 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Sensitivity to hyper-parameters in SVRG\n\nThis example shows the sensitivity of SVRG with respect\nto different hyperparameters.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "print(__doc__)\n\nimport sys\nimport time\n\nimport numpy as np\nimport matplotlib.pyplot as plt\n\nfrom sklearn.datasets import make_classification\nfrom sklearn.datasets import fetch_20newsgroups_vectorized\n\nfrom lightning.classification import SVRGClassifier\n\n\nclass Callback(object):\n\n def __init__(self, X, y):\n self.X = X\n self.y = y\n self.obj = []\n self.times = []\n self.start_time = time.time()\n self.test_time = 0\n\n def __call__(self, clf):\n test_time = time.time()\n clf._finalize_coef()\n y_pred = clf.decision_function(self.X).ravel()\n loss = (np.maximum(1 - self.y * y_pred, 0) ** 2).mean()\n coef = clf.coef_.ravel()\n regul = 0.5 * clf.alpha * np.dot(coef, coef)\n self.obj.append(loss + regul)\n self.test_time += time.time() - test_time\n self.times.append(time.time() - self.start_time - self.test_time)\n\ntry:\n dataset = sys.argv[1]\nexcept:\n dataset = \"synthetic\"\n\nif dataset == \"news20\":\n bunch = fetch_20newsgroups_vectorized(subset=\"all\")\n X = bunch.data\n y = bunch.target\n y[y >= 1] = 1\n\n etas = (0.5, 1e-1, 1e-2)\n n_inners = (1.0, 2.0, 3.0)\nelse:\n X, y = make_classification(n_samples=10000,\n n_features=100,\n n_classes=2,\n random_state=0)\n etas = (1e-3, 1e-4, 1e-5)\n n_inners = (0.25, 0.5, 1.0, 1.5)\n\ny = y * 2 - 1\n\n\nplt.figure()\n\nfor eta in etas:\n print(\"eta =\", eta)\n cb = Callback(X, y)\n clf = SVRGClassifier(loss=\"squared_hinge\", alpha=1e-5, eta=eta,\n n_inner=1.0, max_iter=20, random_state=0, callback=cb)\n clf.fit(X, y)\n plt.plot(cb.times, cb.obj, label=\"eta=\" + str(eta))\n\nplt.xlabel(\"CPU time\")\nplt.ylabel(\"Objective value\")\nplt.legend()\n\nplt.figure()\n\nfor n_inner in n_inners:\n print(\"n_inner =\", n_inner)\n cb = Callback(X, y)\n clf = SVRGClassifier(loss=\"squared_hinge\", alpha=1e-5, eta=1e-4,\n n_inner=n_inner, max_iter=20, random_state=0,\n callback=cb)\n clf.fit(X, y)\n plt.plot(cb.times, cb.obj, label=\"n_inner=\" + str(n_inner))\n\nplt.xlabel(\"CPU time\")\nplt.ylabel(\"Objective value\")\nplt.legend()\n\nplt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.5" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip new file mode 100644 index 00000000..2594bdf8 Binary files /dev/null and b/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip differ diff --git a/_downloads/10e9cd1dfc67c24a4cf7a41eabda0e2b/plot_l2_solvers.ipynb b/_downloads/10e9cd1dfc67c24a4cf7a41eabda0e2b/plot_l2_solvers.ipynb new file mode 100644 index 00000000..da2f27a3 --- /dev/null +++ b/_downloads/10e9cd1dfc67c24a4cf7a41eabda0e2b/plot_l2_solvers.ipynb @@ -0,0 +1,54 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# L2 solver comparison\n\nThis example compares different solvers with L2 regularization.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "print(__doc__)\n\nimport sys\nimport time\n\nimport numpy as np\nimport matplotlib.pyplot as plt\n\nfrom sklearn.datasets import make_classification\nfrom sklearn.datasets import fetch_20newsgroups_vectorized\n\nfrom lightning.classification import SVRGClassifier\nfrom lightning.classification import SDCAClassifier\nfrom lightning.classification import CDClassifier\nfrom lightning.classification import AdaGradClassifier\nfrom lightning.classification import SAGAClassifier, SAGClassifier\n\nfrom lightning.impl.adagrad_fast import _proj_elastic_all\n\nclass Callback(object):\n\n def __init__(self, X, y):\n self.X = X\n self.y = y\n self.obj = []\n self.times = []\n self.start_time = time.time()\n self.test_time = 0\n\n def __call__(self, clf, t=None):\n test_time = time.time()\n\n if hasattr(clf, \"_finalize_coef\"):\n clf._finalize_coef()\n\n if t is not None:\n _proj_elastic_all(clf.eta, t, clf.g_sum_[0], clf.g_norms_[0],\n alpha1=0, alpha2=clf.alpha, delta=0,\n w=clf.coef_[0])\n\n\n y_pred = clf.decision_function(self.X).ravel()\n loss = (np.maximum(1 - self.y * y_pred, 0) ** 2).mean()\n coef = clf.coef_.ravel()\n regul = 0.5 * clf.alpha * np.dot(coef, coef)\n self.obj.append(loss + regul)\n self.test_time += time.time() - test_time\n self.times.append(time.time() - self.start_time - self.test_time)\n\ntry:\n dataset = sys.argv[1]\nexcept:\n dataset = \"synthetic\"\n\nif dataset == \"news20\":\n bunch = fetch_20newsgroups_vectorized(subset=\"all\")\n X = bunch.data\n y = bunch.target\n y[y >= 1] = 1\n alpha = 1e-4\n eta_svrg = 1e-1\n eta_adagrad = 1\n xlim = (0, 20)\n\nelse:\n X, y = make_classification(n_samples=10000,\n n_features=100,\n n_classes=2,\n random_state=0)\n alpha = 1e-2\n eta_svrg = 1e-3\n eta_adagrad = 1e-2\n xlim = [0, 2]\n\ny = y * 2 - 1\n\n# make sure the method does not stop prematurely, we want to see\n# the full convergence path\ntol = 1e-24\n\nclf1 = SVRGClassifier(loss=\"squared_hinge\", alpha=alpha, eta=eta_svrg,\n n_inner=1.0, max_iter=100, random_state=0, tol=1e-24)\nclf2 = SDCAClassifier(loss=\"squared_hinge\", alpha=alpha,\n max_iter=100, n_calls=X.shape[0]/2, random_state=0, tol=tol)\nclf3 = CDClassifier(loss=\"squared_hinge\", alpha=alpha, C=1.0/X.shape[0],\n max_iter=50, n_calls=X.shape[1]/3, random_state=0, tol=tol)\nclf4 = AdaGradClassifier(loss=\"squared_hinge\", alpha=alpha, eta=eta_adagrad,\n n_iter=100, n_calls=X.shape[0]/2, random_state=0)\nclf5 = SAGAClassifier(loss=\"squared_hinge\", alpha=alpha,\n max_iter=100, random_state=0, tol=tol)\nclf6 = SAGClassifier(loss=\"squared_hinge\", alpha=alpha,\n max_iter=100, random_state=0, tol=tol)\n\nplt.figure()\n\ndata = {}\nfor clf, name in ((clf1, \"SVRG\"),\n (clf2, \"SDCA\"),\n (clf3, \"PCD\"),\n (clf4, \"AdaGrad\"),\n (clf5, \"SAGA\"),\n (clf6, \"SAG\")\n ):\n print(name)\n cb = Callback(X, y)\n clf.callback = cb\n\n if name == \"PCD\" and hasattr(X, \"tocsc\"):\n clf.fit(X.tocsc(), y)\n else:\n clf.fit(X, y)\n data[name] = (cb.times, np.array(cb.obj))\n\n# get best value\nfmin = min([np.min(a[1]) for a in data.values()])\nfor name in data:\n plt.plot(data[name][0], data[name][1] - fmin, label=name, lw=3)\n\nplt.xlim(xlim)\nplt.yscale('log')\nplt.xlabel(\"CPU time\")\nplt.ylabel(\"Objective value minus optimum\")\nplt.legend()\nplt.grid()\n\nplt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.5" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/_downloads/plot_1d_total_variation.py b/_downloads/415a37556be4083e8ecf64d9b2ea2a7f/plot_1d_total_variation.py similarity index 95% rename from _downloads/plot_1d_total_variation.py rename to _downloads/415a37556be4083e8ecf64d9b2ea2a7f/plot_1d_total_variation.py index 3cd82d74..4f23071b 100644 --- a/_downloads/plot_1d_total_variation.py +++ b/_downloads/415a37556be4083e8ecf64d9b2ea2a7f/plot_1d_total_variation.py @@ -21,7 +21,7 @@ import numpy as np import matplotlib.pyplot as plt from lightning.classification import FistaClassifier -from sklearn.grid_search import GridSearchCV +from sklearn.model_selection import GridSearchCV # generate some synthetic data n_samples = 200 @@ -31,7 +31,7 @@ np.random.seed(0) # for reproducibility X = np.random.rand(n_samples, n_features) # generate y as a linear model, y = sign(X w + noise) -y = np.sign(X.dot(ground_truth) + 0.5 * np.random.randn(n_samples)).astype(np.int) +y = np.sign(X.dot(ground_truth) + 0.5 * np.random.randn(n_samples)).astype(int) for penalty in ('l1', 'tv1d'): @@ -45,4 +45,4 @@ plt.grid() plt.legend() plt.ylim((-1.5, 1.5)) -plt.show() \ No newline at end of file +plt.show() diff --git a/_downloads/48b881a16efa1f8954906b7f7fa1ee97/plot_sample_weight.ipynb b/_downloads/48b881a16efa1f8954906b7f7fa1ee97/plot_sample_weight.ipynb new file mode 100644 index 00000000..05079d37 --- /dev/null +++ b/_downloads/48b881a16efa1f8954906b7f7fa1ee97/plot_sample_weight.ipynb @@ -0,0 +1,54 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# SAGA: Weighted samples\n\nPlot decision function of a weighted dataset, where the size of points\nis proportional to its weight.\n\nAdapted from scikit-learn's plot_sgd_weighted_samples.py\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "print(__doc__)\n\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom lightning.impl.sag import SAGAClassifier\n\n# we create 20 points\nnp.random.seed(0)\nX = np.r_[np.random.randn(10, 2) + [1, 1], np.random.randn(10, 2)]\ny = np.array([1] * 10 + [-1] * 10)\nsample_weight = 100 * np.abs(np.random.randn(20))\n# and assign a bigger weight to the last 10 samples\nsample_weight[:10] *= 10\n\n# plot the weighted data points\nxx, yy = np.meshgrid(np.linspace(-4, 5, 500), np.linspace(-4, 5, 500))\nplt.figure()\nplt.scatter(X[:, 0], X[:, 1], c=y, s=sample_weight, alpha=0.9,\n cmap=plt.cm.bone)\n\n# fit the unweighted model\nclf = SAGAClassifier(alpha=0.01, loss='log')\nclf.fit(X, y)\nZ = clf.decision_function(np.c_[xx.ravel(), yy.ravel()])\nZ = Z.reshape(xx.shape)\nno_weights = plt.contour(xx, yy, Z, levels=[0], linestyles=['solid'])\n\n# fit the weighted model\nclf = SAGAClassifier(alpha=0.01, loss='log')\nclf.fit(X, y, sample_weight=sample_weight)\nZ = clf.decision_function(np.c_[xx.ravel(), yy.ravel()])\nZ = Z.reshape(xx.shape)\nsamples_weights = plt.contour(xx, yy, Z, levels=[0], linestyles=['dashed'])\n\nplt.legend([no_weights.collections[0], samples_weights.collections[0]],\n [\"no weights\", \"with weights\"], loc=\"lower left\")\n\nplt.xticks(())\nplt.yticks(())\nplt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.5" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/_downloads/4c3d9734ffe68a5cd5b658ef4f9fc398/document_classification_news20.ipynb b/_downloads/4c3d9734ffe68a5cd5b658ef4f9fc398/document_classification_news20.ipynb new file mode 100644 index 00000000..573a83e8 --- /dev/null +++ b/_downloads/4c3d9734ffe68a5cd5b658ef4f9fc398/document_classification_news20.ipynb @@ -0,0 +1,54 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Classification of text documents\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import numpy as np\n\nfrom sklearn.datasets import fetch_20newsgroups_vectorized\n\ntry:\n from sklearn.model_selection import train_test_split\nexcept ImportError:\n from sklearn.cross_validation import train_test_split\n \nfrom lightning.classification import CDClassifier\nfrom lightning.classification import LinearSVC\nfrom lightning.classification import SGDClassifier\n\n# Load News20 dataset from scikit-learn.\nbunch = fetch_20newsgroups_vectorized(subset=\"all\")\nX = bunch.data\ny = bunch.target\n\n# Select a subset of the classes for faster training.\nind = np.arange(X.shape[0])\nsubset = y < 5\nX = X[ind[subset]]\ny = y[subset]\n\n# Train / test split.\nX_tr, X_te, y_tr, y_te = train_test_split(X, y,\n train_size=0.75,\n test_size=0.25,\n random_state=0)\n\nclfs = (CDClassifier(loss=\"squared_hinge\",\n penalty=\"l2\",\n max_iter=20,\n random_state=0),\n\n LinearSVC(max_iter=20,\n random_state=0),\n\n SGDClassifier(learning_rate=\"constant\",\n alpha=1e-3,\n max_iter=20,\n random_state=0))\n\nfor clf in clfs:\n print(clf.__class__.__name__)\n clf.fit(X_tr, y_tr)\n print(clf.score(X_te, y_te))" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.5" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip new file mode 100644 index 00000000..b3037678 Binary files /dev/null and b/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip differ diff --git a/_downloads/84ae69625d80a9a50c846b70ea180dec/plot_sparse_non_linear.ipynb b/_downloads/84ae69625d80a9a50c846b70ea180dec/plot_sparse_non_linear.ipynb new file mode 100644 index 00000000..97d3e095 --- /dev/null +++ b/_downloads/84ae69625d80a9a50c846b70ea180dec/plot_sparse_non_linear.ipynb @@ -0,0 +1,54 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Sparse non-linear classification\n\nThis examples demonstrates how to use `CDClassifier` with L1 penalty to do\nsparse non-linear classification. The trick simply consists in fitting the\nclassifier with a kernel matrix (e.g., using an RBF kernel).\n\nThere are a few interesting differences with standard kernel SVMs:\n\n1. the kernel matrix does not need to be positive semi-definite (hence the\nexpression \"kernel matrix\" above is an abuse of terminology)\n\n2. the number of \"support vectors\" will be typically smaller thanks to L1\nregularization and can be adjusted by the regularization parameter C (the\nsmaller C, the fewer the support vectors)\n\n3. the \"support vectors\" need not be located at the margin\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import numpy as np\nimport pylab as pl\n\nfrom sklearn.metrics.pairwise import rbf_kernel\n\nfrom lightning.classification import CDClassifier\nfrom lightning.classification import KernelSVC\n\nnp.random.seed(0)\n\nclass SparseNonlinearClassifier(CDClassifier):\n\n def __init__(self, gamma=1e-2, C=1, alpha=1):\n self.gamma = gamma\n super().__init__(C=C,\n alpha=alpha,\n loss=\"squared_hinge\",\n penalty=\"l1\")\n\n def fit(self, X, y):\n K = rbf_kernel(X, gamma=self.gamma)\n self.X_train_ = X\n super().fit(K, y)\n return self\n\n def decision_function(self, X):\n K = rbf_kernel(X, self.X_train_, gamma=self.gamma)\n return super().decision_function(K)\n\n\ndef gen_non_lin_separable_data():\n mean1 = [-1, 2]\n mean2 = [1, -1]\n mean3 = [4, -4]\n mean4 = [-4, 4]\n cov = [[1.0,0.8], [0.8, 1.0]]\n X1 = np.random.multivariate_normal(mean1, cov, 50)\n X1 = np.vstack((X1, np.random.multivariate_normal(mean3, cov, 50)))\n y1 = np.ones(len(X1))\n X2 = np.random.multivariate_normal(mean2, cov, 50)\n X2 = np.vstack((X2, np.random.multivariate_normal(mean4, cov, 50)))\n y2 = np.ones(len(X2)) * -1\n return X1, y1, X2, y2\n\ndef plot_contour(X, X1, X2, clf, title):\n pl.figure()\n pl.title(title)\n\n # Plot instances of class 1.\n pl.plot(X1[:,0], X1[:,1], \"ro\")\n # Plot instances of class 2.\n pl.plot(X2[:,0], X2[:,1], \"bo\")\n\n # Select \"support vectors\".\n if hasattr(clf, \"support_vectors_\"):\n sv = clf.support_vectors_\n else:\n sv = X[clf.coef_.ravel() != 0]\n\n # Plot support vectors.\n pl.scatter(sv[:, 0], sv[:, 1], s=100, c=\"g\")\n\n # Plot decision surface.\n A, B = np.meshgrid(np.linspace(-6,6,50), np.linspace(-6,6,50))\n C = np.array([[x1, x2] for x1, x2 in zip(np.ravel(A), np.ravel(B))])\n Z = clf.decision_function(C).reshape(A.shape)\n pl.contour(A, B, Z, [0.0], colors='k', linewidths=1, origin='lower')\n\n pl.axis(\"tight\")\n\n# Generate synthetic data from 2 classes.\nX1, y1, X2, y2 = gen_non_lin_separable_data()\n\n# Combine them to form a training set.\nX = np.vstack((X1, X2))\ny = np.hstack((y1, y2))\n\n# Train the classifiers.\nclf = SparseNonlinearClassifier(gamma=0.1, alpha=1./0.05)\nclf.fit(X, y)\n\nclf2 = KernelSVC(gamma=0.1, kernel=\"rbf\", alpha=1e-2)\nclf2.fit(X, y)\n\n# Plot contours.\nplot_contour(X, X1, X2, clf, \"Sparse\")\nplot_contour(X, X1, X2, clf2, \"Kernel SVM\")\n\npl.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.5" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/_downloads/plot_sparse_non_linear.py b/_downloads/8e93a4e8b69a7bf144ff3d244bcbfd2e/plot_sparse_non_linear.py similarity index 88% rename from _downloads/plot_sparse_non_linear.py rename to _downloads/8e93a4e8b69a7bf144ff3d244bcbfd2e/plot_sparse_non_linear.py index 9d564682..b0624cc4 100644 --- a/_downloads/plot_sparse_non_linear.py +++ b/_downloads/8e93a4e8b69a7bf144ff3d244bcbfd2e/plot_sparse_non_linear.py @@ -33,20 +33,20 @@ class SparseNonlinearClassifier(CDClassifier): def __init__(self, gamma=1e-2, C=1, alpha=1): self.gamma = gamma - super(SparseNonlinearClassifier, self).__init__(C=C, - alpha=alpha, - loss="squared_hinge", - penalty="l1") + super().__init__(C=C, + alpha=alpha, + loss="squared_hinge", + penalty="l1") def fit(self, X, y): K = rbf_kernel(X, gamma=self.gamma) self.X_train_ = X - super(SparseNonlinearClassifier, self).fit(K, y) + super().fit(K, y) return self def decision_function(self, X): K = rbf_kernel(X, self.X_train_, gamma=self.gamma) - return super(SparseNonlinearClassifier, self).decision_function(K) + return super().decision_function(K) def gen_non_lin_separable_data(): diff --git a/_downloads/a6cca5b705ce407da0e3b20040be79f0/trace.ipynb b/_downloads/a6cca5b705ce407da0e3b20040be79f0/trace.ipynb new file mode 100644 index 00000000..048f4c3f --- /dev/null +++ b/_downloads/a6cca5b705ce407da0e3b20040be79f0/trace.ipynb @@ -0,0 +1,54 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Trace norm\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "print(__doc__)\nimport numpy as np\nfrom scipy.linalg import svd\n\nfrom sklearn.datasets import fetch_20newsgroups_vectorized\nfrom sklearn.feature_selection import SelectKBest, chi2\n\nfrom lightning.classification import FistaClassifier\n\ndef rank(M, eps=1e-9):\n U, s, V = svd(M, full_matrices=False)\n return np.sum(s > eps)\n\n\nbunch = fetch_20newsgroups_vectorized(subset=\"train\")\nX_train = bunch.data\ny_train = bunch.target\n\n# Reduces dimensionality to make the example faster\nch2 = SelectKBest(chi2, k=5000)\nX_train = ch2.fit_transform(X_train, y_train)\n\nbunch = fetch_20newsgroups_vectorized(subset=\"test\")\nX_test = bunch.data\ny_test = bunch.target\nX_test = ch2.transform(X_test)\n\nclf = FistaClassifier(C=1.0 / X_train.shape[0],\n max_iter=200,\n penalty=\"trace\",\n multiclass=True)\n\nfor alpha in (1e-3, 1e-2, 0.1, 0.2, 0.3):\n print(\"alpha=\", alpha)\n clf.alpha = alpha\n clf.fit(X_train, y_train)\n print(clf.score(X_test, y_test))\n print(rank(clf.coef_))" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.5" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/_downloads/aa494b6fd2906f01c1386f15f50a86b3/plot_sgd_loss_functions.ipynb b/_downloads/aa494b6fd2906f01c1386f15f50a86b3/plot_sgd_loss_functions.ipynb new file mode 100644 index 00000000..409db9c0 --- /dev/null +++ b/_downloads/aa494b6fd2906f01c1386f15f50a86b3/plot_sgd_loss_functions.ipynb @@ -0,0 +1,90 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# SGD: Convex Loss Functions\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "print(__doc__)\n\nimport numpy as np\nimport pylab as pl\nfrom lightning.impl.sgd import Hinge\nfrom lightning.impl.sgd import SquaredHinge\nfrom lightning.impl.sgd import Log\nfrom lightning.impl.sgd import SquaredLoss" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Define loss funcitons\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "xmin, xmax = -3, 3\nhinge = Hinge(1)\nsquared_hinge = SquaredHinge()\nlog = Log()\nsquared_loss = SquaredLoss()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plot loss funcitons\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "xx = np.linspace(xmin, xmax, 100)\npl.plot([xmin, 0, 0, xmax], [1, 1, 0, 0], 'k-',\n label=\"Zero-one loss\")\npl.plot(xx, [hinge.loss(x, 1) for x in xx], 'g-',\n label=\"Hinge loss\")\npl.plot(xx, [squared_hinge.loss(x, 1) for x in xx], 'b--',\n label=\"Squared hinge loss\", zorder=3)\npl.plot(xx, [log.loss(x, 1) for x in xx], 'r-',\n label=\"Log loss\")\npl.plot(xx, [2.0*squared_loss.loss(x, 1) for x in xx], 'c-',\n label=\"Squared loss\")\npl.ylim((0, 5))\npl.legend(loc=\"upper right\")\npl.xlabel(r\"$y \\cdot f(x)$\")\npl.ylabel(\"$L(y, f(x))$\")\npl.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.5" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/_downloads/document_classification_news20.py b/_downloads/bb926859a68ee56ceffb238f4bfcf939/document_classification_news20.py similarity index 90% rename from _downloads/document_classification_news20.py rename to _downloads/bb926859a68ee56ceffb238f4bfcf939/document_classification_news20.py index 6c0fa174..7627b07b 100644 --- a/_downloads/document_classification_news20.py +++ b/_downloads/bb926859a68ee56ceffb238f4bfcf939/document_classification_news20.py @@ -7,8 +7,12 @@ import numpy as np from sklearn.datasets import fetch_20newsgroups_vectorized -from sklearn.cross_validation import train_test_split +try: + from sklearn.model_selection import train_test_split +except ImportError: + from sklearn.cross_validation import train_test_split + from lightning.classification import CDClassifier from lightning.classification import LinearSVC from lightning.classification import SGDClassifier diff --git a/_downloads/plot_svrg.py b/_downloads/c6e7c91e4a932468de31923e0ea8931a/plot_svrg.py similarity index 91% rename from _downloads/plot_svrg.py rename to _downloads/c6e7c91e4a932468de31923e0ea8931a/plot_svrg.py index 0bc2df08..db42ae09 100644 --- a/_downloads/plot_svrg.py +++ b/_downloads/c6e7c91e4a932468de31923e0ea8931a/plot_svrg.py @@ -27,19 +27,19 @@ def __init__(self, X, y): self.y = y self.obj = [] self.times = [] - self.start_time = time.clock() + self.start_time = time.time() self.test_time = 0 def __call__(self, clf): - test_time = time.clock() + test_time = time.time() clf._finalize_coef() y_pred = clf.decision_function(self.X).ravel() loss = (np.maximum(1 - self.y * y_pred, 0) ** 2).mean() coef = clf.coef_.ravel() regul = 0.5 * clf.alpha * np.dot(coef, coef) self.obj.append(loss + regul) - self.test_time += time.clock() - test_time - self.times.append(time.clock() - self.start_time - self.test_time) + self.test_time += time.time() - test_time + self.times.append(time.time() - self.start_time - self.test_time) try: dataset = sys.argv[1] diff --git a/_downloads/trace.py b/_downloads/cccfd91e166d4708102104aaa6304070/trace.py similarity index 94% rename from _downloads/trace.py rename to _downloads/cccfd91e166d4708102104aaa6304070/trace.py index be5e140c..8b5ad25c 100644 --- a/_downloads/trace.py +++ b/_downloads/cccfd91e166d4708102104aaa6304070/trace.py @@ -9,7 +9,6 @@ from scipy.linalg import svd from sklearn.datasets import fetch_20newsgroups_vectorized -from sklearn.datasets.samples_generator import make_classification from sklearn.feature_selection import SelectKBest, chi2 from lightning.classification import FistaClassifier diff --git a/_downloads/cd1e55bf101ea0c4d3299fcded9ba991/plot_robust_regression.ipynb b/_downloads/cd1e55bf101ea0c4d3299fcded9ba991/plot_robust_regression.ipynb new file mode 100644 index 00000000..416c6fb2 --- /dev/null +++ b/_downloads/cd1e55bf101ea0c4d3299fcded9ba991/plot_robust_regression.ipynb @@ -0,0 +1,54 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Robust regression\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "print(__doc__)\n\nimport numpy as np\nimport pylab as pl\n\nfrom sklearn.datasets import make_regression\nfrom sklearn.utils import check_random_state\nfrom sklearn.linear_model import Ridge\n\nfrom lightning.regression import LinearSVR\n\n# Generate regression data.\nX_train, y_train = make_regression(n_samples=15, n_features=1,\n n_informative=1, random_state=0)\n\n# Add noise.\nrs = check_random_state(0)\ny_train += rs.normal(np.std(y_train), size=X_train.shape[0])\n# Add an outlier.\ny_train[5] *= 5\n\nX_test = np.linspace(-5, 5, 100).reshape(-1, 1)\n\npl.figure()\npl.scatter(X_train.ravel(), y_train)\n\nreg = Ridge(alpha=1e-1)\nreg.fit(X_train, y_train)\npl.plot(X_test.ravel(), reg.predict(X_test), label=\"Ridge\")\n\n# LinearSVR is equivalent to absolute-loss regression (robust regression)\n# when epsilon=0.\nreg = LinearSVR(C=10, epsilon=0, fit_intercept=True, random_state=0)\nreg.fit(X_train, y_train)\npl.plot(X_test.ravel(), reg.predict(X_test), label=\"Robust\")\n\npl.legend(loc=\"upper left\")\n\npl.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.5" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/_downloads/plot_robust_regression.py b/_downloads/d0036a753259b5f3e6509653e1bca00c/plot_robust_regression.py similarity index 100% rename from _downloads/plot_robust_regression.py rename to _downloads/d0036a753259b5f3e6509653e1bca00c/plot_robust_regression.py diff --git a/_downloads/plot_sample_weight.py b/_downloads/d04a331a009e87b87d0275ece7636181/plot_sample_weight.py similarity index 100% rename from _downloads/plot_sample_weight.py rename to _downloads/d04a331a009e87b87d0275ece7636181/plot_sample_weight.py diff --git a/_downloads/plot_sgd_loss_functions.py b/_downloads/d32a5b6d566e61ffea63aa9b10de9d59/plot_sgd_loss_functions.py similarity index 100% rename from _downloads/plot_sgd_loss_functions.py rename to _downloads/d32a5b6d566e61ffea63aa9b10de9d59/plot_sgd_loss_functions.py diff --git a/_downloads/e564d8ea2a76b9b36a235e6c48d112cb/plot_1d_total_variation.ipynb b/_downloads/e564d8ea2a76b9b36a235e6c48d112cb/plot_1d_total_variation.ipynb new file mode 100644 index 00000000..fd028949 --- /dev/null +++ b/_downloads/e564d8ea2a76b9b36a235e6c48d112cb/plot_1d_total_variation.ipynb @@ -0,0 +1,54 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# Signal recovery by 1D total variation\n\nIn this example, we generate a signal that is piecewise constant. We then\nobserve some random and corrupted measurements from that signal and\nthen try to recover that signal using L1 and 1D total variation (TV1D) penalties.\n\nGiven a ground truth vectors, the signal that we observe is given by\n\n y = sign(X ground_truth + noise)\n\nwhere X is a random matrix. We obtain the vector ground_truth by solving\nan optimization problem using lightning's :class:`lightning.classification.FistaClassifier`.\n\nThe 1D total variation is also known as fused lasso.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Author: Fabian Pedregosa \n\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom lightning.classification import FistaClassifier\nfrom sklearn.model_selection import GridSearchCV\n\n# generate some synthetic data\nn_samples = 200\nground_truth = np.concatenate((\n np.ones(20), - np.ones(20), np.zeros(40)))\nn_features = ground_truth.size\nnp.random.seed(0) # for reproducibility\nX = np.random.rand(n_samples, n_features)\n# generate y as a linear model, y = sign(X w + noise)\ny = np.sign(X.dot(ground_truth) + 0.5 * np.random.randn(n_samples)).astype(int)\n\n\nfor penalty in ('l1', 'tv1d'):\n clf = FistaClassifier(penalty=penalty)\n gs = GridSearchCV(clf, {'alpha': np.logspace(-3, 3, 10)})\n gs.fit(X, y)\n coefs = gs.best_estimator_.coef_\n plt.plot(coefs.ravel(), label='%s penalty' % penalty, lw=3)\n\nplt.plot(ground_truth, lw=3, marker='^', markevery=5, markersize=10, label=\"ground truth\")\nplt.grid()\nplt.legend()\nplt.ylim((-1.5, 1.5))\nplt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.5" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/_downloads/plot_l2_solvers.py b/_downloads/ec735e1c8225c498d7b32ba947e3d64a/plot_l2_solvers.py similarity index 94% rename from _downloads/plot_l2_solvers.py rename to _downloads/ec735e1c8225c498d7b32ba947e3d64a/plot_l2_solvers.py index cdc03557..8b5294b8 100644 --- a/_downloads/plot_l2_solvers.py +++ b/_downloads/ec735e1c8225c498d7b32ba947e3d64a/plot_l2_solvers.py @@ -31,11 +31,11 @@ def __init__(self, X, y): self.y = y self.obj = [] self.times = [] - self.start_time = time.clock() + self.start_time = time.time() self.test_time = 0 def __call__(self, clf, t=None): - test_time = time.clock() + test_time = time.time() if hasattr(clf, "_finalize_coef"): clf._finalize_coef() @@ -51,8 +51,8 @@ def __call__(self, clf, t=None): coef = clf.coef_.ravel() regul = 0.5 * clf.alpha * np.dot(coef, coef) self.obj.append(loss + regul) - self.test_time += time.clock() - test_time - self.times.append(time.clock() - self.start_time - self.test_time) + self.test_time += time.time() - test_time + self.times.append(time.time() - self.start_time - self.test_time) try: dataset = sys.argv[1] diff --git a/_images/document_classification_news20.png 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b/_images/sphx_glr_plot_svrg_001.png differ diff --git a/_images/sphx_glr_plot_svrg_002.png b/_images/sphx_glr_plot_svrg_002.png new file mode 100644 index 00000000..0768fe7e Binary files /dev/null and b/_images/sphx_glr_plot_svrg_002.png differ diff --git a/_images/sphx_glr_plot_svrg_thumb.png b/_images/sphx_glr_plot_svrg_thumb.png new file mode 100644 index 00000000..22afb1d7 Binary files /dev/null and b/_images/sphx_glr_plot_svrg_thumb.png differ diff --git a/_images/sphx_glr_trace_thumb.png b/_images/sphx_glr_trace_thumb.png new file mode 100644 index 00000000..8a5fed58 Binary files /dev/null and b/_images/sphx_glr_trace_thumb.png differ diff --git a/_images/trace.png b/_images/trace.png deleted file mode 100644 index cbc8e0f3..00000000 Binary files a/_images/trace.png and /dev/null differ diff --git a/_modules/index.html b/_modules/index.html index 569145aa..8807c159 100644 --- a/_modules/index.html +++ b/_modules/index.html @@ -1,45 +1,33 @@ - - - + - - - Overview: module code — lightning dev documentation - - - - - - - - - - - - - - - - - - + + + Overview: module code — lightning 0.6.1.dev0 documentation + + + + + + + + + + + + + + + + + - - + -
- +
+
+
+

All modules for which code is available

+
+ +
@@ -218,8 +210,8 @@

All modules for which code is available

- © Copyright Mathieu Blondel.
- Created using Sphinx 1.3.5.
+ © Copyright 2021, Mathieu Blondel.
+ Created using Sphinx 4.0.1.

diff --git a/_modules/lightning/classification.html b/_modules/lightning/classification.html deleted file mode 100644 index 4b6650cf..00000000 --- a/_modules/lightning/classification.html +++ /dev/null @@ -1,223 +0,0 @@ - - - - - - - - - lightning.classification — lightning dev documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- -

Source code for lightning.classification

-from .impl.adagrad import AdaGradClassifier
-from .impl.primal_cd import CDClassifier
-from .impl.fista import FistaClassifier
-from .impl.sag import SAGClassifier
-from .impl.sag import SAGAClassifier
-from .impl.sdca import SDCAClassifier
-from .impl.sgd import SGDClassifier
-from .impl.svrg import SVRGClassifier
-from .impl.dual_cd import LinearSVC
-from .impl.primal_newton import KernelSVC
-
- -
-
-
-

- Back to top - -

-

- © Copyright Mathieu Blondel.
- Created using Sphinx 1.2.3.
-

-
-
- - \ No newline at end of file diff --git a/_modules/lightning/impl/adagrad.html b/_modules/lightning/impl/adagrad.html index d97cb5d0..3f8b0ab0 100644 --- a/_modules/lightning/impl/adagrad.html +++ b/_modules/lightning/impl/adagrad.html @@ -1,46 +1,33 @@ - - - + - - - lightning.impl.adagrad — lightning dev documentation - - - - - - - - - - - - - - - - - - - + + + lightning.impl.adagrad — lightning 0.6.1.dev0 documentation + + + + + + + + + + + + + + + + + - - + -
- +
+
+
+

Source code for lightning.impl.adagrad

 # Author: Mathieu Blondel
 # License: BSD
 
-import numpy as np
+import numpy as np
 
 from sklearn.utils import check_random_state
-from sklearn.preprocessing import LabelBinarizer
-from sklearn.externals.six.moves import xrange
 
 from .base import BaseClassifier, BaseRegressor
 from .dataset_fast import get_dataset
@@ -237,9 +224,9 @@ 
Source code for lightning.impl.adagrad
         alpha1 = self.l1_ratio * self.alpha
         alpha2 = (1 - self.l1_ratio) * self.alpha
         loss = self._get_loss()
-        n_calls = n_samples if self.n_calls is None else self.n_calls
+        n_calls = n_samples if self.n_calls is None else self.n_calls
 
-        for i in xrange(n_vectors):
+        for i in range(n_vectors):
             _adagrad_fit(self, ds, Y[:, i], self.coef_[i], self.g_sum_[i],
                          self.g_norms_[i], loss, self.eta, delta, alpha1,
                          alpha2, self.n_iter, self.shuffle, self.callback,
@@ -249,19 +236,21 @@ 
Source code for lightning.impl.adagrad
 
 
 
[docs]class AdaGradClassifier(BaseClassifier, _BaseAdagrad):
-    """
+    r"""
     Estimator for learning linear classifiers by AdaGrad.
 
     Solves the following objective:
 
+    .. code-block::
+
         minimize_w  1 / n_samples * \sum_i loss(w^T x_i, y_i)
                     + alpha * l1_ratio * ||w||_1
                     + alpha * (1 - l1_ratio) * 0.5 * ||w||^2_2
     """
 
-
[docs]    def __init__(self, eta=1.0, alpha=1.0, l1_ratio=0, loss="hinge", gamma=1.0,
-                 n_iter=10, shuffle=True, callback=None, n_calls=None,
-                 random_state=None):
+    def __init__(self, eta=1.0, alpha=1.0, l1_ratio=0, loss="hinge", gamma=1.0,
+                 n_iter=10, shuffle=True, callback=None, n_calls=None,
+                 random_state=None):
         self.eta = eta
         self.alpha = alpha
         self.l1_ratio = l1_ratio
@@ -271,7 +260,7 @@ 
Source code for lightning.impl.adagrad
         self.shuffle = shuffle
         self.callback = callback
         self.n_calls = n_calls
-        self.random_state = random_state

+        self.random_state = random_state
 
     def _get_loss(self):
         losses = {
@@ -285,27 +274,29 @@ 
Source code for lightning.impl.adagrad
         }
         return losses[self.loss]
 
-    def fit(self, X, y):
+
[docs]    def fit(self, X, y):
         self._set_label_transformers(y)
         Y = np.asfortranarray(self.label_binarizer_.transform(y),
                               dtype=np.float64)
-        return self._fit(X, Y)

+        return self._fit(X, Y)

 
 
 
[docs]class AdaGradRegressor(BaseRegressor, _BaseAdagrad):
-    """
+    r"""
     Estimator for learning linear regressors by AdaGrad.
 
     Solves the following objective:
 
+    .. code-block::
+
         minimize_w  1 / n_samples * \sum_i loss(w^T x_i, y_i)
                     + alpha * l1_ratio * ||w||_1
                     + alpha * (1 - l1_ratio) * 0.5 * ||w||^2_2
     """
 
-
[docs]    def __init__(self, eta=1.0, alpha=1.0, l1_ratio=0, loss="squared",
-                 gamma=1.0, epsilon=0, n_iter=10, shuffle=True, callback=None,
-                 n_calls=None, random_state=None):
+    def __init__(self, eta=1.0, alpha=1.0, l1_ratio=0, loss="squared",
+                 gamma=1.0, epsilon=0, n_iter=10, shuffle=True, callback=None,
+                 n_calls=None, random_state=None):
         self.eta = eta
         self.alpha = alpha
         self.l1_ratio = l1_ratio
@@ -316,7 +307,7 @@ 
Source code for lightning.impl.adagrad
         self.shuffle = shuffle
         self.callback = callback
         self.n_calls = n_calls
-        self.random_state = random_state

+        self.random_state = random_state
 
     def _get_loss(self):
         losses = {
@@ -327,13 +318,16 @@ 
Source code for lightning.impl.adagrad
         }
         return losses[self.loss]
 
-    def fit(self, X, y):
+
[docs]    def fit(self, X, y):
         self.outputs_2d_ = len(y.shape) > 1
         Y = y.reshape(-1, 1) if not self.outputs_2d_ else y
         Y = Y.astype(np.float64)
-        return self._fit(X, Y)

+        return self._fit(X, Y)

 

 
+    

+      
+
@@ -342,8 +336,8 @@

Source code for lightning.impl.adagrad

       
     

     

-        © Copyright Mathieu Blondel.

-      Created using Sphinx 1.3.5.

+        © Copyright 2021, Mathieu Blondel.

+      Created using Sphinx 4.0.1.
diff --git a/_modules/lightning/impl/dual_cd.html b/_modules/lightning/impl/dual_cd.html index 4d0ccc3a..871ff1c3 100644 --- a/_modules/lightning/impl/dual_cd.html +++ b/_modules/lightning/impl/dual_cd.html @@ -1,46 +1,33 @@ - - - + - - - lightning.impl.dual_cd — lightning dev documentation - - - - - - - - - - - - - - - - - - - + + + lightning.impl.dual_cd — lightning 0.6.1.dev0 documentation + + + + + + + + + + + + + + + + + - - + -
- +
+
+
+

Source code for lightning.impl.dual_cd

 """
 ==========================================
@@ -210,11 +199,9 @@ 
Source code for lightning.impl.dual_cd
 # Author: Mathieu Blondel
 # License: BSD
 
-import numpy as np
+import numpy as np
 
-from sklearn.preprocessing import LabelBinarizer
 from sklearn.preprocessing import add_dummy_feature
-from sklearn.externals.six.moves import xrange
 
 from .base import BaseClassifier, BaseRegressor
 from .dataset_fast import get_dataset
@@ -224,7 +211,7 @@ 
Source code for lightning.impl.dual_cd
 
 
 
[docs]class LinearSVC(BaseClassifier):
-    """Estimator for learning linear support vector machine by coordinate
+    r"""Estimator for learning linear support vector machine by coordinate
     descent in the dual.
 
     Parameters
@@ -265,9 +252,8 @@ 
Source code for lightning.impl.dual_cd
     verbose : int
         Verbosity level.
 
-    Example
-    -------
-
+    Examples
+    --------
     The following example demonstrates how to learn a classification
     model:
 
@@ -279,10 +265,10 @@ 
Source code for lightning.impl.dual_cd
     >>> accuracy = clf.score(X, y)
     """
 
-
[docs]    def __init__(self, C=1.0, loss="hinge", criterion="accuracy",
+    def __init__(self, C=1.0, loss="hinge", criterion="accuracy",
                  max_iter=1000, tol=1e-3,
-                 permute=True, shrinking=True, warm_start=False,
-                 random_state=None, callback=None, n_calls=100, verbose=0):
+                 permute=True, shrinking=True, warm_start=False,
+                 random_state=None, callback=None, n_calls=100, verbose=0):
         self.C = C
         self.loss = loss
         self.criterion = criterion
@@ -295,7 +281,7 @@ 
Source code for lightning.impl.dual_cd
         self.callback = callback
         self.n_calls = n_calls
         self.verbose = verbose
-        self.coef_ = None

+        self.coef_ = None
 
     def _get_loss(self):
         loss = {"l1": 1,
@@ -331,13 +317,13 @@ 
Source code for lightning.impl.dual_cd
 
         ds = get_dataset(X)
 
-        if not self.warm_start or self.coef_ is None:
+        if not self.warm_start or self.coef_ is None:
             self.coef_ = np.zeros((n_vectors, n_features), dtype=np.float64)
             if self.criterion == "accuracy":
                 self.dual_coef_ = np.zeros((n_vectors, n_samples),
                                            dtype=np.float64)
 
-        for i in xrange(n_vectors):
+        for i in range(n_vectors):
             if self.criterion == "accuracy":
                 _dual_cd(self, self.coef_[i], self.dual_coef_[i],
                          ds, Y[:, i], self.permute,
@@ -353,7 +339,7 @@ 
Source code for lightning.impl.dual_cd
 
 
 
[docs]class LinearSVR(BaseRegressor):
-    """Estimator for learning a linear support vector regressor by coordinate
+    r"""Estimator for learning a linear support vector regressor by coordinate
     descent in the dual.
 
     Parameters
@@ -395,10 +381,10 @@ 
Source code for lightning.impl.dual_cd
         Verbosity level.
     """
 
-
[docs]    def __init__(self, C=1.0, epsilon=0, loss="epsilon_insensitive",
-                 max_iter=1000, tol=1e-3, fit_intercept=False,
-                 permute=True, warm_start=False,
-                 random_state=None, callback=None, n_calls=100, verbose=0):
+    def __init__(self, C=1.0, epsilon=0, loss="epsilon_insensitive",
+                 max_iter=1000, tol=1e-3, fit_intercept=False,
+                 permute=True, warm_start=False,
+                 random_state=None, callback=None, n_calls=100, verbose=0):
         self.C = C
         self.epsilon = epsilon
         self.loss = loss
@@ -411,7 +397,7 @@ 
Source code for lightning.impl.dual_cd
         self.callback = callback
         self.n_calls = n_calls
         self.verbose = verbose
-        self.coef_ = None

+        self.coef_ = None
 
     def _get_loss(self):
         loss = {"l1": 1,
@@ -453,12 +439,12 @@ 
Source code for lightning.impl.dual_cd
 
         ds = get_dataset(X)
 
-        if not self.warm_start or self.coef_ is None:
+        if not self.warm_start or self.coef_ is None:
             self.coef_ = np.zeros((n_vectors, n_features), dtype=np.float64)
             self.dual_coef_ = np.zeros((n_vectors, n_samples),
                                        dtype=np.float64)
 
-        for i in xrange(n_vectors):
+        for i in range(n_vectors):
             _dual_cd_svr(self, self.coef_[i], self.dual_coef_[i],
                          ds, Y[:, i], self.permute,
                          self.C, self.epsilon, self._get_loss(),
@@ -473,6 +459,9 @@ 
Source code for lightning.impl.dual_cd
         return self

 

 
+    

+      
+  

 

 

   

@@ -481,8 +470,8 @@ 
Source code for lightning.impl.dual_cd
       
     

     

-        © Copyright Mathieu Blondel.

-      Created using Sphinx 1.3.5.

+        © Copyright 2021, Mathieu Blondel.

+      Created using Sphinx 4.0.1.

     

   

 

diff --git a/_modules/lightning/impl/fista.html b/_modules/lightning/impl/fista.html
index dcab0d2c..2ebe8700 100644
--- a/_modules/lightning/impl/fista.html
+++ b/_modules/lightning/impl/fista.html
@@ -1,46 +1,33 @@
-
 
 
-
-
+
   
-    
-    
-    lightning.impl.fista — lightning dev documentation
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
+    
+    
+    lightning.impl.fista — lightning 0.6.1.dev0 documentation
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
 
 
 
 
+
+
+
+
 
-  
-  
+  
 
   
 
-

-  
+

+  

+    

+      
   
Source code for lightning.impl.fista
 # Author: Mathieu Blondel
 # License: BSD
 
-import numpy as np
+import numpy as np
 
 from sklearn.utils.extmath import safe_sparse_dot
-from sklearn.externals.six.moves import xrange
 
 from .base import BaseClassifier, BaseRegressor
 
@@ -221,7 +209,6 @@ 
Source code for lightning.impl.fista
 from .penalty import SimplexConstraint
 from .penalty import L1BallConstraint
 from .penalty import TotalVariation1DPenalty
-from .penalty import TotalVariation2DPenalty
 
 
 class _BaseFista(object):
@@ -230,15 +217,14 @@ 
Source code for lightning.impl.fista
         if hasattr(self.penalty, 'projection'):
             return self.penalty
         penalties = {
-            "l1": L1Penalty,
-            "l1/l2": L1L2Penalty,
-            "trace": TracePenalty,
-            "simplex": SimplexConstraint,
-            "l1-ball": L1BallConstraint,
-            "tv1d": TotalVariation1DPenalty,
-            "tv2d": TotalVariation2DPenalty
+            "l1": L1Penalty(),
+            "l1/l2": L1L2Penalty(),
+            "trace": TracePenalty(),
+            "simplex": SimplexConstraint(),
+            "l1-ball": L1BallConstraint(),
+            "tv1d": TotalVariation1DPenalty()
         }
-        return penalties[self.penalty](*self.prox_args)
+        return penalties[self.penalty]
 
     def _get_objective(self, df, y, loss):
         return self.C * loss.objective(df, y)
@@ -277,9 +263,9 @@ 
Source code for lightning.impl.fista
             L = 1.0
 
         t = 1.0
-        for it in xrange(self.max_iter):
+        for it in range(self.max_iter):
             if self.verbose >= 1:
-                print("Iter", it + 1, obj)
+                print("Iter", it + 1, obj)
 
             # Save current values
             t_old = t
@@ -294,7 +280,7 @@ 
Source code for lightning.impl.fista
             if self.max_steps > 0:
                 objb = self._get_objective(df, y, loss)
 
-            for tt in xrange(self.max_steps):
+            for tt in range(self.max_steps):
                 # Solve
                 coefx = coef - G / L
                 coefx = penalty.projection(coefx, self.alpha, L)
@@ -309,7 +295,7 @@ 
Source code for lightning.impl.fista
                 # Sufficient decrease condition
                 if accepted:
                     if self.verbose >= 2:
-                        print("Accepted at", tt + 1)
+                        print("Accepted at", tt + 1)
                     break
                 else:
                     L *= self.eta
@@ -318,22 +304,22 @@ 
Source code for lightning.impl.fista
                 coefx = coef - G / L
                 coefx = penalty.projection(coefx, self.alpha, L)
 
-            t = (1 + np.sqrt(1 + 4 * t_old * t_old) / 2)
+            t = (1 + np.sqrt(1 + 4 * t_old * t_old)) / 2
             coef = coefx + (t_old - 1) / t * (coefx - coefx_old)
             df = safe_sparse_dot(X, coef.T)
 
             # Callback might need self.coef_.
             self.coef_ = coef
-            if self.callback is not None:
+            if self.callback is not None:
                 ret = self.callback(self)
-                if ret is not None:
+                if ret is not None:
                     break
 
         return self
 
 
 
[docs]class FistaClassifier(BaseClassifier, _BaseFista):
-    """Estimator for learning linear classifiers by FISTA.
+    r"""Estimator for learning linear classifiers by FISTA.
 
     The objective functions considered take the form
 
@@ -346,7 +332,7 @@ 
Source code for lightning.impl.fista
     loss : str, 'squared_hinge', 'log', 'modified_huber', 'squared'
         The loss function to be used.
 
-    penalty : str or Penalty object, 'l2', 'l1', 'l1/l2', 'simplex'
+    penalty : str or Penalty object, {'l2', 'l1', 'l1/l2', 'tv1d', 'simplex'}
         The penalty or constraint to be used.
 
         - l2: ridge
@@ -354,6 +340,7 @@ 
Source code for lightning.impl.fista
         - l1/l2: group lasso
         - tv1d: 1-dimensional total variation (also known as fused lasso)
         - simplex: simplex constraint
+
         The method can also take an arbitrary Penalty object, i.e., an instance
         that implements methods projection regularization method (see file penalty.py)
 
@@ -388,9 +375,9 @@ 
Source code for lightning.impl.fista
         Verbosity level.
     """
 
-
[docs]    def __init__(self, C=1.0, alpha=1.0, loss="squared_hinge", penalty="l1",
-                 multiclass=False, max_iter=100, max_steps=30, eta=2.0,
-                 sigma=1e-5, callback=None, verbose=0, prox_args=()):
+    def __init__(self, C=1.0, alpha=1.0, loss="squared_hinge", penalty="l1",
+                 multiclass=False, max_iter=100, max_steps=30, eta=2.0,
+                 sigma=1e-5, callback=None, verbose=0):
         self.C = C
         self.alpha = alpha
         self.loss = loss
@@ -402,7 +389,6 @@ 
Source code for lightning.impl.fista
         self.sigma = sigma
         self.callback = callback
         self.verbose = verbose
-        self.prox_args = prox_args

 
     def _get_loss(self):
         if self.multiclass:
@@ -418,19 +404,19 @@ 
Source code for lightning.impl.fista
 
         return losses[self.loss]
 
-    def fit(self, X, y):
-        y, _, n_vectors = self._set_label_transformers(y, reencode=True)
+
[docs]    def fit(self, X, y):
+        y, _, n_vectors = self._set_label_transformers(y, reencode=True)
 
         if not self.multiclass:
             y = np.asfortranarray(self.label_binarizer_.transform(y),
                                   dtype=np.float64)
             n_vectors = y.shape[1]
 
-        return self._fit(X, y, n_vectors)

+        return self._fit(X, y, n_vectors)

 
 
 
[docs]class FistaRegressor(BaseRegressor, _BaseFista):
-    """Estimator for learning linear classifiers by FISTA.
+    r"""Estimator for learning linear classifiers by FISTA.
 
     The objective functions considered take the form
 
@@ -440,7 +426,7 @@ 
Source code for lightning.impl.fista
 
     Parameters
     ----------
-    penalty : str or Penalty object, {'l2', 'l1', 'l1/l2', 'simplex'}
+    penalty : str or Penalty object, {'l2', 'l1', 'l1/l2', 'tv1d', 'simplex'}
         The penalty or constraint to be used.
 
         - l2: ridge
@@ -448,6 +434,7 @@ 
Source code for lightning.impl.fista
         - l1/l2: group lasso
         - tv1d: 1-dimensional total variation (also known as fussed lasso)
         - simplex: simplex constraint
+
         The method can also take an arbitrary Penalty object, i.e., an instance
         that implements methods projection regularization method (see file penalty.py)
 
@@ -479,9 +466,8 @@ 
Source code for lightning.impl.fista
         Verbosity level.
     """
 
-
[docs]    def __init__(self, C=1.0, alpha=1.0, penalty="l1", max_iter=100,
-                 max_steps=30, eta=2.0, sigma=1e-5, callback=None, verbose=0,
-                 prox_args=()):
+    def __init__(self, C=1.0, alpha=1.0, penalty="l1", max_iter=100,
+                 max_steps=30, eta=2.0, sigma=1e-5, callback=None, verbose=0):
         self.C = C
         self.alpha = alpha
         self.penalty = penalty
@@ -491,19 +477,21 @@ 
Source code for lightning.impl.fista
         self.sigma = sigma
         self.callback = callback
         self.verbose = verbose
-        self.prox_args = prox_args

 
     def _get_loss(self):
         return Squared()
 
-    def fit(self, X, y):
+
[docs]    def fit(self, X, y):
         self.outputs_2d_ = len(y.shape) > 1
         Y = y.reshape(-1, 1) if not self.outputs_2d_ else y
         Y = np.asfortranarray(Y.astype(np.float64))
         n_vectors = Y.shape[1]
-        return self._fit(X, Y, n_vectors)

+        return self._fit(X, Y, n_vectors)

 

 
+    

+      
+  

 

 

   

@@ -512,8 +500,8 @@ 
Source code for lightning.impl.fista
       
     

     

-        © Copyright Mathieu Blondel.

-      Created using Sphinx 1.3.5.

+        © Copyright 2021, Mathieu Blondel.

+      Created using Sphinx 4.0.1.

     

   

 

diff --git a/_modules/lightning/impl/prank.html b/_modules/lightning/impl/prank.html
index f2a8287a..abd94b70 100644
--- a/_modules/lightning/impl/prank.html
+++ b/_modules/lightning/impl/prank.html
@@ -1,46 +1,33 @@
-
 
 
-
-
+
   
-    
-    
-    lightning.impl.prank — lightning dev documentation
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
+    
+    
+    lightning.impl.prank — lightning 0.6.1.dev0 documentation
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
 
 
 
 
+
+
+
+
 
-  
-  
+  
 
   
 
-

-  
+

+  

+    

+      
   
Source code for lightning.impl.prank
 # Author: Mathieu Blondel
 # License: BSD
 
-import numpy as np
+import numpy as np
 
 from sklearn.preprocessing import LabelEncoder
 from sklearn.utils.extmath import safe_sparse_dot
@@ -226,7 +215,7 @@ 
Source code for lightning.impl.prank
 
 
 
[docs]class PRank(_BasePRank):
-    """Online algorithm for learning an ordinal regression model.
+    r"""Online algorithm for learning an ordinal regression model.
 
     Parameters
     ----------
@@ -247,17 +236,17 @@ 
Source code for lightning.impl.prank
     thresholds_ : array, shape=[n_classes]
         Estimated thresholds.
 
-    Reference
-    ---------
+    References
+    ----------
     Pranking with Ranking
     Koby Crammer, Yoram Singer
     NIPS 2001
     """
 
-
[docs]    def __init__(self, n_iter=10, shuffle=True, random_state=None):
+    def __init__(self, n_iter=10, shuffle=True, random_state=None):
         self.n_iter = n_iter
         self.shuffle = shuffle
-        self.random_state = random_state

+        self.random_state = random_state
 
 
[docs]    def fit(self, X, y):
         """Fit model according to X and y.
@@ -295,16 +284,16 @@ 
Source code for lightning.impl.prank
 
         return self

 
-    def predict(self, X):
+
[docs]    def predict(self, X):
         n_samples = X.shape[0]
         dot = safe_sparse_dot(X, self.coef_)
         out = np.zeros(n_samples, dtype=np.int32)
         _prank_predict(dot, self.thresholds_, len(self.classes_), out)
-        return self._label_encoder.inverse_transform(out)

+        return self._label_encoder.inverse_transform(out)

 
 
 
[docs]class KernelPRank(_BasePRank):
-    """Kernelized online algorithm for learning an ordinal regression model.
+    r"""Kernelized online algorithm for learning an ordinal regression model.
 
     Parameters
     ----------
@@ -344,16 +333,16 @@ 
Source code for lightning.impl.prank
     thresholds_ : array, shape=[n_classes]
         Estimated thresholds.
 
-    Reference
-    ---------
+    References
+    ----------
     Pranking with Ranking
     Koby Crammer, Yoram Singer
     NIPS 2001
     """
 
-
[docs]    def __init__(self, n_iter=10, shuffle=True, random_state=None,
-                 kernel="linear", gamma=None, degree=3, coef0=1,
-                 kernel_params=None):
+    def __init__(self, n_iter=10, shuffle=True, random_state=None,
+                 kernel="linear", gamma=None, degree=3, coef0=1,
+                 kernel_params=None):
         self.n_iter = n_iter
         self.shuffle = shuffle
         self.random_state = random_state
@@ -361,21 +350,21 @@ 
Source code for lightning.impl.prank
         self.gamma = gamma
         self.degree = degree
         self.coef0 = coef0
-        self.kernel_params = kernel_params

+        self.kernel_params = kernel_params
 
     @property
     def _pairwise(self):
         return self.kernel == "precomputed"
 
-    def _get_kernel(self, X, Y=None):
-        if callable(self.kernel):
+    def _get_kernel(self, X, Y=None):
+        if callable(self.kernel):
             params = self.kernel_params or {}
         else:
             params = {"gamma": self.gamma,
                       "degree": self.degree,
                       "coef0": self.coef0}
         return pairwise_kernels(X, Y, metric=self.kernel,
-                                filter_params=True, **params)
+                                filter_params=True, **params)
 
 
[docs]    def fit(self, X, y):
         """Fit model according to X and y.
@@ -413,15 +402,18 @@ 
Source code for lightning.impl.prank
 
         return self

 
-    def predict(self, X):
+
[docs]    def predict(self, X):
         K = self._get_kernel(X, self.X_train_)
         n_samples = X.shape[0]
         dot = np.dot(K, self.dual_coef_)
         out = np.zeros(n_samples, dtype=np.int32)
         _prank_predict(dot, self.thresholds_, len(self.classes_), out)
-        return self._label_encoder.inverse_transform(out)

+        return self._label_encoder.inverse_transform(out)

 

 
+    

+      
+  

 

 

   

@@ -430,8 +422,8 @@ 
Source code for lightning.impl.prank
       
     

     

-        © Copyright Mathieu Blondel.

-      Created using Sphinx 1.3.5.

+        © Copyright 2021, Mathieu Blondel.

+      Created using Sphinx 4.0.1.

     

   

 

diff --git a/_modules/lightning/impl/primal_cd.html b/_modules/lightning/impl/primal_cd.html
index 6ba6fb04..d95cca12 100644
--- a/_modules/lightning/impl/primal_cd.html
+++ b/_modules/lightning/impl/primal_cd.html
@@ -1,46 +1,33 @@
-
 
 
-
-
+
   
-    
-    
-    lightning.impl.primal_cd — lightning dev documentation
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
+    
+    
+    lightning.impl.primal_cd — lightning 0.6.1.dev0 documentation
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
 
 
 
 
+
+
+
+
 
-  
-  
+  
 
   
 
-

-  
+

+  

+    

+      
   
Source code for lightning.impl.primal_cd
 """
 ==========================================
@@ -210,10 +199,9 @@ 
Source code for lightning.impl.primal_cd
 # Author: Mathieu Blondel
 # License: BSD
 
-import numpy as np
+import numpy as np
 
-from sklearn.externals.joblib import Parallel, delayed
-from sklearn.externals.six.moves import xrange
+from joblib import Parallel, delayed
 
 from .base import BaseClassifier
 from .base import BaseRegressor
@@ -272,7 +260,7 @@ 
Source code for lightning.impl.primal_cd
 
 
 
[docs]class CDClassifier(_BaseCD, BaseClassifier):
-    """Estimator for learning linear classifiers by (block) coordinate descent.
+    r"""Estimator for learning linear classifiers by (block) coordinate descent.
 
     The objective functions considered take the form
 
@@ -363,9 +351,8 @@ 
Source code for lightning.impl.primal_cd
         penalty is a non group-lasso penalty. By default use one CPU.
         If set to -1, use all CPU's
 
-    Example
-    -------
-
+    Examples
+    --------
     The following example demonstrates how to learn a classification
     model with a multiclass squared hinge loss and an l1/l2 penalty.
 
@@ -390,16 +377,16 @@ 
Source code for lightning.impl.primal_cd
     Machine Learning, May 2013.
     """
 
-
[docs]    def __init__(self, loss="squared_hinge", penalty="l2", multiclass=False,
+    def __init__(self, loss="squared_hinge", penalty="l2", multiclass=False,
                  C=1.0, alpha=1.0,
                  max_iter=50, tol=1e-3, termination="violation_sum",
-                 shrinking=True,
+                 shrinking=True,
                  max_steps="auto", sigma=0.01, beta=0.5,
-                 warm_start=False, debiasing=False, Cd=1.0,
-                 warm_debiasing=False,
-                 selection="cyclic", permute=True,
-                 callback=None, n_calls=100,
-                 random_state=None, verbose=0, n_jobs=1):
+                 warm_start=False, debiasing=False, Cd=1.0,
+                 warm_debiasing=False,
+                 selection="cyclic", permute=True,
+                 callback=None, n_calls=100,
+                 random_state=None, verbose=0, n_jobs=1):
         self.C = C
         self.alpha = alpha
         self.loss = loss
@@ -422,9 +409,9 @@ 
Source code for lightning.impl.primal_cd
         self.n_calls = n_calls
         self.random_state = random_state
         self.verbose = verbose
-        self.coef_ = None
+        self.coef_ = None
         self.violation_init_ = {}
-        self.n_jobs = n_jobs

+        self.n_jobs = n_jobs
 
 
[docs]    def fit(self, X, y):
         """Fit model according to X and y.
@@ -464,7 +451,7 @@ 
Source code for lightning.impl.primal_cd
                               dtype=np.float64)
 
         # Initialize coefficients
-        if not self.warm_start or self.coef_ is None:
+        if not self.warm_start or self.coef_ is None:
             self.C_init = self.C
             self.coef_ = np.zeros((n_vectors, n_features), dtype=np.float64)
             self._init_errors(Y)
@@ -499,14 +486,14 @@ 
Source code for lightning.impl.primal_cd
 
             n_pos = np.zeros(n_vectors)
             vinit = self.C / self.C_init * np.ones_like(n_pos)
-            for k in xrange(n_vectors):
+            for k in range(n_vectors):
                 n_pos[k] = np.sum(Y[:, k] == 1)
                 vinit[k] *= self.violation_init_.get(k, 0)
             n_neg = n_samples - n_pos
             tol = self.tol * np.maximum(np.minimum(n_pos, n_neg), 1) / n_samples
 
             jobs = (delayed(_primal_cd)(self, self.coef_, self.errors_,
-                                        ds, y, Y, k, False,
+                                        ds, y, Y, k, False,
                                         indices, penalty, self._get_loss(),
                                         self.selection, self.permute,
                                         self.termination,
@@ -515,7 +502,7 @@ 
Source code for lightning.impl.primal_cd
                                         self.shrinking, vinit[k],
                                         rs, tol[k], self.callback, self.n_calls,
                                         self.verbose)
-                    for k in xrange(n_vectors))
+                    for k in range(n_vectors))
             model = Parallel(n_jobs=self.n_jobs, verbose=self.verbose)(jobs)
             viol, coefs, errors = zip(*model)
             self.coef_ = np.asarray(coefs)
@@ -535,17 +522,17 @@ 
Source code for lightning.impl.primal_cd
             indices = np.arange(n_features, dtype=np.int32)
             jobs = (delayed(_primal_cd)(
                            self, self.coef_, self.errors_,
-                           ds, y, Y, k, False,
+                           ds, y, Y, k, False,
                            indices[nz[k]], 2, self._get_loss(),
                            "cyclic", self.permute,
                            "violation_sum",
                            self.Cd, 1.0,
                            self.max_iter, max_steps,
-                           False, 0,
+                           False, 0,
                            rs, self.tol, self.callback, self.n_calls,
                            self.verbose
                             )
-                    for k in xrange(n_vectors))
+                    for k in range(n_vectors))
             model = Parallel(n_jobs=self.n_jobs, verbose=self.verbose)(jobs)
             viol, coefs, errors = zip(*model)
             self.coef_ = np.asarray(coefs)
@@ -555,7 +542,7 @@ 
Source code for lightning.impl.primal_cd
 
 
 
[docs]class CDRegressor(_BaseCD, BaseRegressor):
-    """Estimator for learning linear regressors by (block) coordinate descent.
+    r"""Estimator for learning linear regressors by (block) coordinate descent.
 
     The objective functions considered take the form
 
@@ -568,28 +555,26 @@ 
Source code for lightning.impl.primal_cd
     loss : str, 'squared'
         The loss function to be used.
 
-    penalty : str, 'l2', 'l1', 'l1/l2', 'nnl1', 'nnl2'
+    penalty : str, 'l2', 'l1', 'l1/l2'
         The penalty to be used.
 
         - l2: ridge
         - l1: lasso
         - l1/l2: group lasso
-        - nnl1: non-negative constraints + l1 penalty
-        - nnl2: non-negative constraints + l2 penalty
 
     For other parameters, see `CDClassifier`.
     """
 
-
[docs]    def __init__(self, C=1.0, alpha=1.0,
+    def __init__(self, C=1.0, alpha=1.0,
                  loss="squared", penalty="l2",
                  max_iter=50, tol=1e-3, termination="violation_sum",
-                 shrinking=True,
+                 shrinking=True,
                  max_steps=30, sigma=0.01, beta=0.5,
-                 warm_start=False, debiasing=False, Cd=1.0,
-                 warm_debiasing=False,
-                 selection="cyclic", permute=True,
-                 callback=None, n_calls=100,
-                 random_state=None, verbose=0, n_jobs=1):
+                 warm_start=False, debiasing=False, Cd=1.0,
+                 warm_debiasing=False,
+                 selection="cyclic", permute=True,
+                 callback=None, n_calls=100,
+                 random_state=None, verbose=0, n_jobs=1):
         self.C = C
         self.alpha = alpha
         self.loss = loss
@@ -611,9 +596,9 @@ 
Source code for lightning.impl.primal_cd
         self.n_calls = n_calls
         self.random_state = random_state
         self.verbose = verbose
-        self.coef_ = None
+        self.coef_ = None
         self.violation_init_ = {}
-        self.n_jobs = n_jobs

+        self.n_jobs = n_jobs
 
 
[docs]    def fit(self, X, y):
         """Fit model according to X and y.
@@ -648,7 +633,7 @@ 
Source code for lightning.impl.primal_cd
         n_vectors = Y.shape[1]
 
         # Initialize coefficients
-        if not self.warm_start or self.coef_ is None:
+        if not self.warm_start or self.coef_ is None:
             self.C_init = self.C
             self.coef_ = np.zeros((n_vectors, n_features), dtype=np.float64)
             self._init_errors(Y)
@@ -660,7 +645,7 @@ 
Source code for lightning.impl.primal_cd
         if self.penalty == "l1/l2":
             vinit = self.violation_init_.get(0, 0) * self.C / self.C_init
             model = _primal_cd(self, self.coef_, self.errors_,
-                              ds, y, Y, -1, False,
+                              ds, y, Y, -1, False,
                               indices, 12, self._get_loss(),
                               self.selection, self.permute, self.termination,
                               self.C, self.alpha,
@@ -674,10 +659,10 @@ 
Source code for lightning.impl.primal_cd
         else:
             penalty = self._get_penalty()
             vinit = np.asarray([self.violation_init_.get(k, 0)
-                    for k in xrange(n_vectors)]) * self.C / self.C_init
+                    for k in range(n_vectors)]) * self.C / self.C_init
 
             jobs = (delayed(_primal_cd)(self, self.coef_, self.errors_,
-                                       ds, y, Y, k, False,
+                                       ds, y, Y, k, False,
                                        indices, penalty, self._get_loss(),
                                        self.selection, self.permute,
                                        self.termination,
@@ -686,7 +671,7 @@ 
Source code for lightning.impl.primal_cd
                                        self.shrinking, vinit[k],
                                        rs, self.tol, self.callback, self.n_calls,
                                        self.verbose)
-                    for k in xrange(n_vectors))
+                    for k in range(n_vectors))
 
             model = Parallel(n_jobs=self.n_jobs, verbose=self.verbose)(jobs)
             viol, self.coef_, self.error_ = zip(*model)
@@ -699,6 +684,9 @@ 
Source code for lightning.impl.primal_cd
         return self

 

 
+    

+      
+  

 

 

   

@@ -707,8 +695,8 @@ 
Source code for lightning.impl.primal_cd
       
     

     

-        © Copyright Mathieu Blondel.

-      Created using Sphinx 1.3.5.

+        © Copyright 2021, Mathieu Blondel.

+      Created using Sphinx 4.0.1.

     

   

 

diff --git a/_modules/lightning/impl/primal_newton.html b/_modules/lightning/impl/primal_newton.html
index 69487a23..292a98a7 100644
--- a/_modules/lightning/impl/primal_newton.html
+++ b/_modules/lightning/impl/primal_newton.html
@@ -1,46 +1,33 @@
-
 
 
-
-
+
   
-    
-    
-    lightning.impl.primal_newton — lightning dev documentation
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
+    
+    
+    lightning.impl.primal_newton — lightning 0.6.1.dev0 documentation
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
 
 
 
 
+
+
+
+
 
-  
-  
+  
 
   
 
-

-  
+

+  

+    

+      
   
Source code for lightning.impl.primal_newton
 """
 =============================
@@ -209,7 +198,7 @@ 
Source code for lightning.impl.primal_newton
# Author: Mathieu Blondel
 # License: BSD
 
-import numpy as np
+import numpy as np
 
 from scipy.sparse.linalg import cg
 from scipy.linalg import solve
@@ -218,17 +207,15 @@ 
Source code for lightning.impl.primal_newton
from sklearn.preprocessing import LabelBinarizer
 from sklearn.utils import check_random_state
 from sklearn.metrics.pairwise import pairwise_kernels
-from sklearn.externals.six.moves import xrange
 
 from .base import BaseClassifier
 
 
 
[docs]class KernelSVC(BaseClassifier):
-    """Estimator for learning kernel SVMs by Newton's method.
+    r"""Estimator for learning kernel SVMs by Newton's method.
 
     Parameters
     ----------
-
     alpha : float
         Weight of the penalty term.
 
@@ -263,9 +250,8 @@ 
Source code for lightning.impl.primal_newton
    n_jobs : int
         Number of jobs to use to compute the kernel matrix.
 
-    Example
-    -------
-
+    Examples
+    --------
     >>> from sklearn.datasets import make_classification
     >>> from lightning.classification import KernelSVC
     >>> X, y = make_classification()
@@ -273,10 +259,10 @@ 
Source code for lightning.impl.primal_newton
    >>> accuracy = clf.score(X, y)
     """
 
-
[docs]    def __init__(self, alpha=1.0, solver="cg",
+    def __init__(self, alpha=1.0, solver="cg",
                  max_iter=50, tol=1e-3,
                  kernel="linear", gamma=0.1, coef0=1, degree=4,
-                 random_state=None, verbose=0, n_jobs=1):
+                 random_state=None, verbose=0, n_jobs=1):
         self.alpha = alpha
         self.solver = solver
         self.max_iter = max_iter
@@ -287,7 +273,7 @@ 
Source code for lightning.impl.primal_newton
self.degree = degree
         self.random_state = random_state
         self.verbose = verbose
-        self.n_jobs = n_jobs

+        self.n_jobs = n_jobs
 
     def _kernel_params(self):
         return {"gamma": self.gamma,
@@ -298,7 +284,7 @@ 
Source code for lightning.impl.primal_newton
if self.solver == "cg":
             x, info = cg(A, b, tol=self.tol)
         elif self.solver == "dense":
-            x = solve(A, b, sym_pos=True)
+            x = solve(A, b, sym_pos=True)
         return x
 
     def _fit_binary(self, K, y, rs):
@@ -308,12 +294,12 @@ 
Source code for lightning.impl.primal_newton
sv = np.ones(n_samples, dtype=bool)
         else:
             sv = np.zeros(n_samples, dtype=bool)
-            sv[:1000] = True
+            sv[:1000] = True
             rs.shuffle(sv)
 
-        for t in xrange(1, self.max_iter + 1):
+        for t in range(1, self.max_iter + 1):
             if self.verbose:
-                print("Iteration", t, "#SV=", np.sum(sv))
+                print("Iteration", t, "#SV=", np.sum(sv))
 
             K_sv = K[sv][:, sv]
             I = np.diag(self.alpha * np.ones(K_sv.shape[0]))
@@ -329,7 +315,7 @@ 
Source code for lightning.impl.primal_newton
if np.array_equal(last_sv, sv):
                 if self.verbose:
-                    print("Converged at iteration", t)
+                    print("Converged at iteration", t)
                 break
 
         return coef
@@ -347,7 +333,7 @@ 
Source code for lightning.impl.primal_newton
self.n_samples_ = X.shape[0]
 
             if self.verbose >= 1:
-                print("Number of support vectors:", np.sum(sv))
+                print("Number of support vectors:", np.sum(sv))
 
 
[docs]    def fit(self, X, y):
         """Fit model according to X and y.
@@ -375,12 +361,12 @@ 
Source code for lightning.impl.primal_newton
n_vectors = Y.shape[1]
 
         if self.verbose:
-            print("Pre-computing kernel matrix...")
+            print("Pre-computing kernel matrix...")
 
-        K = pairwise_kernels(X, filter_params=True, n_jobs=self.n_jobs,
+        K = pairwise_kernels(X, filter_params=True, n_jobs=self.n_jobs,
                              metric=self.kernel, **self._kernel_params())
 
-        coef = [self._fit_binary(K, Y[:, i], rs) for i in xrange(n_vectors)]
+        coef = [self._fit_binary(K, Y[:, i], rs) for i in range(n_vectors)]
         self.coef_ = np.array(coef)
         self.intercept_ = np.zeros(n_vectors, dtype=np.float64)
 
@@ -401,12 +387,15 @@ 
Source code for lightning.impl.primal_newton
        P : array, shape = [n_classes, n_samples]
             Decision function for X
         """
-        K = pairwise_kernels(X, self.support_vectors_, filter_params=True,
+        K = pairwise_kernels(X, self.support_vectors_, filter_params=True,
                              n_jobs=self.n_jobs, metric=self.kernel,
                              **self._kernel_params())
         return np.dot(K, self.coef_.T)

 

 
+    

+      
+  

 

 

   

@@ -415,8 +404,8 @@ 
Source code for lightning.impl.primal_newton
     

-        © Copyright Mathieu Blondel.

-      Created using Sphinx 1.3.5.

+        © Copyright 2021, Mathieu Blondel.

+      Created using Sphinx 4.0.1.

     

   

 

diff --git a/_modules/lightning/impl/sag.html b/_modules/lightning/impl/sag.html
index 364d612e..7b4438f9 100644
--- a/_modules/lightning/impl/sag.html
+++ b/_modules/lightning/impl/sag.html
@@ -1,46 +1,33 @@
-
 
 
-
-
+
   
-    
-    
-    lightning.impl.sag — lightning dev documentation
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
+    
+    
+    lightning.impl.sag — lightning 0.6.1.dev0 documentation
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
 
 
 
 
+
+
+
+
 
-  
-  
+  
 
   
 
-

-  
+

+  

+    

+      
   
Source code for lightning.impl.sag
 # Author: Mathieu Blondel
 #         Arnaud Rachez
 #         Fabian Pedregosa
 # License: BSD
 
-import numpy as np
-
-from sklearn.externals.six.moves import xrange
+import numpy as np
 
 from .base import BaseClassifier, BaseRegressor
 from .dataset_fast import get_dataset
@@ -248,23 +235,23 @@ 
Source code for lightning.impl.sag
 
     def _fit(self, X, Y, sample_weight):
         rng = self._get_random_state()
-        adaptive_step_size = False
+        adaptive_step_size = False
         ds = get_dataset(X, order="c")
         n_samples, n_features = ds.get_n_samples(), ds.get_n_features()
 
-        if sample_weight is None:
+        if sample_weight is None:
             sample_weight = np.ones(n_samples, dtype=np.float64)
         else:
             sample_weight = np.asarray(sample_weight, dtype=np.float64)
 
-        if self.eta is None or self.eta in ('auto', 'line-search'):
+        if self.eta is None or self.eta in ('auto', 'line-search'):
             step_size = get_auto_step_size(
                     ds, self.alpha, self.loss, self.gamma, sample_weight=sample_weight)
             if self.verbose > 0:
-                print("Auto stepsize: %s" % self.eta)
+                print("Auto stepsize: %s" % self.eta)
             if self.eta == 'line-search':
                 self.eta = step_size
-                adaptive_step_size = True
+                adaptive_step_size = True
             else:
                 self.eta = step_size
 
@@ -277,7 +264,7 @@ 
Source code for lightning.impl.sag
         self.coef_scale_ = np.ones(n_vectors, dtype=np.float64)
         grad = np.zeros((n_vectors, n_samples), dtype=np.float64)
 
-        for i in xrange(n_vectors):
+        for i in range(n_vectors):
             y = Y[:, i]
 
             _sag_fit(self, ds, y, self.coef_[i], self.coef_scale_[i:], grad[i],
@@ -289,11 +276,13 @@ 
Source code for lightning.impl.sag
 
 
 
[docs]class SAGClassifier(BaseClassifier, _BaseSAG):
-    """
+    r"""
     Estimator for learning linear classifiers by SAG.
 
     Solves the following objective:
 
+    .. code-block::
+
         minimize_w  1 / n_samples * \sum_i loss(w^T x_i, y_i)
                     + alpha * 0.5 * ||w||^2_2
 
@@ -327,9 +316,9 @@ 
Source code for lightning.impl.sag
         Pseudo-random number generator state used for random sampling.
     """
 
-
[docs]    def __init__(self, eta='auto', alpha=1.0, beta=0.0, loss="smooth_hinge",
-                 penalty=None, gamma=1.0, max_iter=10, n_inner=1.0, tol=1e-3,
-                 verbose=0, callback=None, random_state=None):
+    def __init__(self, eta='auto', alpha=1.0, beta=0.0, loss="smooth_hinge",
+                 penalty=None, gamma=1.0, max_iter=10, n_inner=1.0, tol=1e-3,
+                 verbose=0, callback=None, random_state=None):
         self.eta = eta
         self.alpha = alpha
         self.beta = beta
@@ -342,9 +331,9 @@ 
Source code for lightning.impl.sag
         self.verbose = verbose
         self.callback = callback
         self.random_state = random_state
-        self.is_saga = False

+        self.is_saga = False
 
-
[docs]    def fit(self, X, y, sample_weight=None):
+
[docs]    def fit(self, X, y, sample_weight=None):
         """
         Parameters
         ----------
@@ -356,7 +345,7 @@ 
Source code for lightning.impl.sag
         -------
         self
         """
-        if not self.is_saga and self.penalty is not None:
+        if not self.is_saga and self.penalty is not None:
             raise ValueError('Penalties in SAGClassifier. Please use '
                              'SAGAClassifier instead.'
                              '.')
@@ -366,11 +355,13 @@ 
Source code for lightning.impl.sag
 
 
 
[docs]class SAGAClassifier(SAGClassifier):
-    """
+    r"""
     Estimator for learning linear classifiers by SAGA.
 
     Solves the following objective:
 
+    .. code-block::
+
         minimize_w  1 / n_samples * \sum_i loss(w^T x_i, y_i)
                     + alpha * 0.5 * ||w||^2_2 + beta * penalty(w)
 
@@ -408,22 +399,24 @@ 
Source code for lightning.impl.sag
         Pseudo-random number generator state used for random sampling.
     """
 
-
[docs]    def __init__(self, eta='auto', alpha=1.0, beta=0.0, loss="smooth_hinge",
-                 penalty=None, gamma=1.0,  max_iter=10, n_inner=1.0,
-                 tol=1e-3, verbose=0, callback=None, random_state=None):
-            super(SAGAClassifier, self).__init__(
+    def __init__(self, eta='auto', alpha=1.0, beta=0.0, loss="smooth_hinge",
+                 penalty=None, gamma=1.0,  max_iter=10, n_inner=1.0,
+                 tol=1e-3, verbose=0, callback=None, random_state=None):
+            super().__init__(
                 eta=eta, alpha=alpha, beta=beta, loss=loss, penalty=penalty,
                 gamma=gamma, max_iter=max_iter, n_inner=n_inner, tol=tol,
                 verbose=verbose, callback=callback, random_state=random_state)
-            self.is_saga = True

+            self.is_saga = True

 
 
 
[docs]class SAGRegressor(BaseRegressor, _BaseSAG):
-    """
+    r"""
     Estimator for learning linear regressors by SAG.
 
     Solves the following objective:
 
+    .. code-block::
+
         minimize_w  1 / n_samples * \sum_i loss(w^T x_i, y_i)
                     + alpha * 0.5 * ||w||^2_2
 
@@ -454,9 +447,9 @@ 
Source code for lightning.impl.sag
         Pseudo-random number generator state used for random sampling.
     """
 
-
[docs]    def __init__(self, eta='auto', alpha=1.0, beta=0.0, loss="smooth_hinge",
-                 penalty=None, gamma=1.0, max_iter=10, n_inner=1.0, tol=1e-3,
-                 verbose=0, callback=None, random_state=None):
+    def __init__(self, eta='auto', alpha=1.0, beta=0.0, loss="smooth_hinge",
+                 penalty=None, gamma=1.0, max_iter=10, n_inner=1.0, tol=1e-3,
+                 verbose=0, callback=None, random_state=None):
         self.eta = eta
         self.alpha = alpha
         self.beta = beta
@@ -469,9 +462,9 @@ 
Source code for lightning.impl.sag
         self.verbose = verbose
         self.callback = callback
         self.random_state = random_state
-        self.is_saga = False

+        self.is_saga = False
 
-
[docs]    def fit(self, X, y, sample_weight=None):
+
[docs]    def fit(self, X, y, sample_weight=None):
         """
         Parameters
         ----------
@@ -483,7 +476,7 @@ 
Source code for lightning.impl.sag
         -------
         self
         """
-        if not self.is_saga and self.penalty is not None:
+        if not self.is_saga and self.penalty is not None:
             raise ValueError('Penalties are not supported in SAGRegressor. '
                              'Please use SAGARegressor instead.')
         self.outputs_2d_ = len(y.shape) > 1
@@ -493,11 +486,13 @@ 
Source code for lightning.impl.sag
 
 
 
[docs]class SAGARegressor(SAGRegressor):
-    """
+    r"""
     Estimator for learning linear regressors by SAG.
 
     Solves the following objective:
 
+    .. code-block::
+
         minimize_w  1 / n_samples * \sum_i loss(w^T x_i, y_i)
                     + alpha * 0.5 * ||w||^2_2 + beta * penalty(w)
 
@@ -532,16 +527,19 @@ 
Source code for lightning.impl.sag
         Pseudo-random number generator state used for random sampling.
     """
 
-
[docs]    def __init__(self, eta='auto', alpha=1.0, beta=0.0, loss="smooth_hinge",
+    def __init__(self, eta='auto', alpha=1.0, beta=0.0, loss="smooth_hinge",
                  penalty="l1", max_iter=10, n_inner=1.0, tol=1e-3,
-                 verbose=0, callback=None, random_state=None):
-            super(SAGARegressor, self).__init__(
+                 verbose=0, callback=None, random_state=None):
+            super().__init__(
                 eta=eta, alpha=alpha, beta=beta, loss=loss, penalty=penalty,
                 gamma=1.0, max_iter=max_iter, n_inner=n_inner, tol=tol,
                 verbose=verbose, callback=callback, random_state=random_state)
-            self.is_saga = True

+            self.is_saga = True

 

 
+    

+      
+  

 

 

   

@@ -550,8 +548,8 @@ 
Source code for lightning.impl.sag
       
     

     

-        © Copyright Mathieu Blondel.

-      Created using Sphinx 1.3.5.

+        © Copyright 2021, Mathieu Blondel.

+      Created using Sphinx 4.0.1.

     

   

 

diff --git a/_modules/lightning/impl/sdca.html b/_modules/lightning/impl/sdca.html
index 75081854..f7995fe7 100644
--- a/_modules/lightning/impl/sdca.html
+++ b/_modules/lightning/impl/sdca.html
@@ -1,46 +1,33 @@
-
 
 
-
-
+
   
-    
-    
-    lightning.impl.sdca — lightning dev documentation
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
+    
+    
+    lightning.impl.sdca — lightning 0.6.1.dev0 documentation
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
 
 
 
 
+
+
+
+
 
-  
-  
+  
 
   
 
-

-  
+

+  

+    

+      
   
Source code for lightning.impl.sdca
 # Author: Mathieu Blondel
 # License: BSD
 
-import numpy as np
+import numpy as np
 
 from sklearn.utils import check_random_state
-from sklearn.preprocessing import LabelBinarizer
-from sklearn.externals.six.moves import xrange
 
 from .base import BaseClassifier, BaseRegressor
 from .dataset_fast import get_dataset
@@ -252,11 +239,11 @@ 
Source code for lightning.impl.sdca
             alpha2 *= 0.5
 
         tol = self.tol
-        n_calls = n_samples if self.n_calls is None else self.n_calls
+        n_calls = n_samples if self.n_calls is None else self.n_calls
         rng = check_random_state(self.random_state)
         loss = self._get_loss()
 
-        for i in xrange(n_vectors):
+        for i in range(n_vectors):
             y = Y[:, i]
 
             if self.l1_ratio == 1.0:
@@ -273,11 +260,13 @@ 
Source code for lightning.impl.sdca
 
 
 
[docs]class SDCAClassifier(BaseClassifier, _BaseSDCA):
-    """
+    r"""
     Estimator for learning linear classifiers by (proximal) SDCA.
 
     Solves the following objective:
 
+    .. code-block::
+
         minimize_w  1 / n_samples * \sum_i loss(w^T x_i, y_i)
                     + alpha * l1_ratio * ||w||_1
                     + alpha * (1 - l1_ratio) * 0.5 * ||w||^2_2
@@ -306,9 +295,9 @@ 
Source code for lightning.impl.sdca
         Pseudo-random number generator state used for random sampling.
     """
 
-
[docs]    def __init__(self, alpha=1.0, l1_ratio=0, loss="hinge", gamma=1.0,
-                 max_iter=100, tol=1e-3, callback=None, n_calls=None, verbose=0,
-                 random_state=None):
+    def __init__(self, alpha=1.0, l1_ratio=0, loss="hinge", gamma=1.0,
+                 max_iter=100, tol=1e-3, callback=None, n_calls=None, verbose=0,
+                 random_state=None):
         self.alpha = alpha
         self.l1_ratio = l1_ratio
         self.loss = loss
@@ -318,7 +307,7 @@ 
Source code for lightning.impl.sdca
         self.callback = callback
         self.n_calls = n_calls
         self.verbose = verbose
-        self.random_state = random_state

+        self.random_state = random_state
 
     def _get_loss(self):
         losses = {
@@ -330,22 +319,25 @@ 
Source code for lightning.impl.sdca
         }
         return losses[self.loss]
 
-    def fit(self, X, y):
+
[docs]    def fit(self, X, y):
         self._set_label_transformers(y)
         Y = np.asfortranarray(self.label_binarizer_.transform(y),
                               dtype=np.float64)
-        return self._fit(X, Y)

+        return self._fit(X, Y)

 
 
 
[docs]class SDCARegressor(BaseRegressor, _BaseSDCA):
-    """
+    r"""
     Estimator for learning linear regressors by (proximal) SDCA.
 
     Solves the following objective:
 
+    .. code-block::
+
         minimize_w  1 / n_samples * \sum_i loss(w^T x_i, y_i)
                     + alpha * l1_ratio * ||w||_1
                     + alpha * (1 - l1_ratio) * 0.5 * ||w||^2_2
+
     Parameters
     ----------
     loss: string, {'squared', 'absolute'}
@@ -367,9 +359,9 @@ 
Source code for lightning.impl.sdca
         Pseudo-random number generator state used for random sampling.
     """
 
-
[docs]    def __init__(self, alpha=1.0, l1_ratio=0, loss="squared",
-                 max_iter=100, tol=1e-3, callback=None, n_calls=None, verbose=0,
-                 random_state=None):
+    def __init__(self, alpha=1.0, l1_ratio=0, loss="squared",
+                 max_iter=100, tol=1e-3, callback=None, n_calls=None, verbose=0,
+                 random_state=None):
         self.alpha = alpha
         self.l1_ratio = l1_ratio
         self.loss = loss
@@ -379,7 +371,7 @@ 
Source code for lightning.impl.sdca
         self.callback = callback
         self.n_calls = n_calls
         self.verbose = verbose
-        self.random_state = random_state

+        self.random_state = random_state
 
     def _get_loss(self):
         losses = {
@@ -388,13 +380,16 @@ 
Source code for lightning.impl.sdca
         }
         return losses[self.loss]
 
-    def fit(self, X, y):
+
[docs]    def fit(self, X, y):
         self.outputs_2d_ = len(y.shape) > 1
         Y = y.reshape(-1, 1) if not self.outputs_2d_ else y
         Y = Y.astype(np.float64)
-        return self._fit(X, Y)

+        return self._fit(X, Y)

 

 
+    

+      
+  

 

 

   

@@ -403,8 +398,8 @@ 
Source code for lightning.impl.sdca
       
     

     

-        © Copyright Mathieu Blondel.

-      Created using Sphinx 1.3.5.

+        © Copyright 2021, Mathieu Blondel.

+      Created using Sphinx 4.0.1.

     

   

 

diff --git a/_modules/lightning/impl/sgd.html b/_modules/lightning/impl/sgd.html
index 768d71e9..e13d3105 100644
--- a/_modules/lightning/impl/sgd.html
+++ b/_modules/lightning/impl/sgd.html
@@ -1,46 +1,33 @@
-
 
 
-
-
+
   
-    
-    
-    lightning.impl.sgd — lightning dev documentation
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
+    
+    
+    lightning.impl.sgd — lightning 0.6.1.dev0 documentation
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
 
 
 
 
+
+
+
+
 
-  
-  
+  
 
   
 
-

-  
+

+  

+    

+      
   
Source code for lightning.impl.sgd
 """
 ===================================
@@ -211,12 +200,11 @@ 
Source code for lightning.impl.sgd
 
 import warnings
 
-import numpy as np
+import numpy as np
 
 from sklearn.utils import check_random_state
 from sklearn.utils.extmath import safe_sparse_dot
 from sklearn.utils.validation import assert_all_finite
-from sklearn.externals.six.moves import xrange
 
 from .base import BaseClassifier
 from .base import BaseRegressor
@@ -258,7 +246,7 @@ 
Source code for lightning.impl.sgd
 
 
 
[docs]class SGDClassifier(BaseClassifier, _BaseSGD):
-    """Estimator for learning linear classifiers by SGD.
+    r"""Estimator for learning linear classifiers by SGD.
 
     Parameters
     ----------
@@ -316,9 +304,8 @@ 
Source code for lightning.impl.sgd
     verbose : int
         Verbosity level.
 
-    Example
-    -------
-
+    Examples
+    --------
     >>> from sklearn.datasets import fetch_20newsgroups_vectorized
     >>> from lightning.classification import SGDClassifier
     >>> bunch = fetch_20newsgroups_vectorized(subset="all")
@@ -327,12 +314,12 @@ 
Source code for lightning.impl.sgd
     >>> accuracy = clf.score(X, y)
     """
 
-
[docs]    def __init__(self, loss="hinge", penalty="l2",
-                 multiclass=False, alpha=0.01,
+    def __init__(self, loss="hinge", penalty="l2",
+                 multiclass=False, alpha=0.01,
                  learning_rate="pegasos", eta0=0.03, power_t=0.5,
-                 epsilon=0.01, fit_intercept=True, intercept_decay=1.0,
-                 max_iter=10, shuffle=True, random_state=None,
-                 callback=None, n_calls=100, verbose=0):
+                 epsilon=0.01, fit_intercept=True, intercept_decay=1.0,
+                 max_iter=10, shuffle=True, random_state=None,
+                 callback=None, n_calls=100, verbose=0):
         self.loss = loss
         self.penalty = penalty
         self.multiclass = multiclass
@@ -349,7 +336,8 @@ 
Source code for lightning.impl.sgd
         self.callback = callback
         self.n_calls = n_calls
         self.verbose = verbose
-        self.coef_ = None

+        self.coef_ = None
+        self.intercept_ = None
 
     def _get_loss(self):
         if self.multiclass:
@@ -406,7 +394,7 @@ 
Source code for lightning.impl.sgd
         if n_vectors == 1 or not self.multiclass:
             Y = np.asfortranarray(self.label_binarizer_.fit_transform(y),
                                   dtype=np.float64)
-            for i in xrange(n_vectors):
+            for i in range(n_vectors):
                 _binary_sgd(self,
                             self.coef_, self.intercept_, i,
                             ds, Y[:, i], loss, penalty,
@@ -440,7 +428,7 @@ 
Source code for lightning.impl.sgd
 
 
 
[docs]class SGDRegressor(BaseRegressor, _BaseSGD):
-    """Estimator for learning linear regressors by SGD.
+    r"""Estimator for learning linear regressors by SGD.
 
     Parameters
     ----------
@@ -494,12 +482,12 @@ 
Source code for lightning.impl.sgd
         Verbosity level.
     """
 
-
[docs]    def __init__(self, loss="squared", penalty="l2",
+    def __init__(self, loss="squared", penalty="l2",
                  alpha=0.01,
                  learning_rate="pegasos", eta0=0.03, power_t=0.5,
-                 epsilon=0.01, fit_intercept=True, intercept_decay=1.0,
-                 max_iter=10, shuffle=True, random_state=None,
-                 callback=None, n_calls=100, verbose=0):
+                 epsilon=0.01, fit_intercept=True, intercept_decay=1.0,
+                 max_iter=10, shuffle=True, random_state=None,
+                 callback=None, n_calls=100, verbose=0):
         self.loss = loss
         self.penalty = penalty
         self.alpha = alpha
@@ -515,7 +503,7 @@ 
Source code for lightning.impl.sgd
         self.callback = callback
         self.n_calls = n_calls
         self.verbose = verbose
-        self.coef_ = None

+        self.coef_ = None
 
     def _get_loss(self):
         losses = {
@@ -561,7 +549,7 @@ 
Source code for lightning.impl.sgd
         loss = self._get_loss()
         penalty = self._get_penalty()
 
-        for k in xrange(n_vectors):
+        for k in range(n_vectors):
             _binary_sgd(self,
                         self.coef_, self.intercept_, k,
                         ds, Y[:, k], loss, penalty, self.alpha,
@@ -595,6 +583,7 @@ 
Source code for lightning.impl.sgd
         try:
             assert_all_finite(self.coef_)
             pred = safe_sparse_dot(X, self.coef_.T)
+            pred += self.intercept_
         except ValueError:
             n_samples = X.shape[0]
             n_vectors = self.coef_.shape[0]
@@ -606,6 +595,9 @@ 
Source code for lightning.impl.sgd
         return pred

 

 
+    

+      
+  

 

 

   

@@ -614,8 +606,8 @@ 
Source code for lightning.impl.sgd
       
     

     

-        © Copyright Mathieu Blondel.

-      Created using Sphinx 1.3.5.

+        © Copyright 2021, Mathieu Blondel.

+      Created using Sphinx 4.0.1.

     

   

 

diff --git a/_modules/lightning/impl/svrg.html b/_modules/lightning/impl/svrg.html
index 35f831ac..e95b29ce 100644
--- a/_modules/lightning/impl/svrg.html
+++ b/_modules/lightning/impl/svrg.html
@@ -1,46 +1,33 @@
-
 
 
-
-
+
   
-    
-    
-    lightning.impl.svrg — lightning dev documentation
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
+    
+    
+    lightning.impl.svrg — lightning 0.6.1.dev0 documentation
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
 
 
 
 
+
+
+
+
 
-  
-  
+  
 
   
 
-

-  
+

+  

+    

+      
   
Source code for lightning.impl.svrg
 # Author: Mathieu Blondel
 # License: BSD
 
-import numpy as np
-
-from sklearn.preprocessing import LabelBinarizer
-from sklearn.externals.six.moves import xrange
+import numpy as np
 
 from .base import BaseClassifier, BaseRegressor
 from .dataset_fast import get_dataset
@@ -236,7 +222,7 @@ 
Source code for lightning.impl.svrg
         grad = np.zeros((n_vectors, n_samples), dtype=np.float64)
         self.coef_scale_ = np.ones(n_vectors, dtype=np.float64)
 
-        for i in xrange(n_vectors):
+        for i in range(n_vectors):
             y = Y[:, i]
 
             _svrg_fit(self, ds, y, self.coef_[i], self.coef_scale_[i:],
@@ -248,18 +234,20 @@ 
Source code for lightning.impl.svrg
 
 
 
[docs]class SVRGClassifier(BaseClassifier, _BaseSVRG):
-    """
+    r"""
     Estimator for learning linear classifiers by SVRG.
 
     Solves the following objective:
 
+    .. code-block::
+
         minimize_w  1 / n_samples * \sum_i loss(w^T x_i, y_i)
                     + alpha * 0.5 * ||w||^2_2
     """
 
-
[docs]    def __init__(self, eta=1.0, alpha=1.0, loss="smooth_hinge", gamma=1.0,
+    def __init__(self, eta=1.0, alpha=1.0, loss="smooth_hinge", gamma=1.0,
                  max_iter=10, n_inner=1.0, tol=1e-3, verbose=0,
-                 callback=None, random_state=None):
+                 callback=None, random_state=None):
         self.eta = eta
         self.alpha = alpha
         self.loss = loss
@@ -269,7 +257,7 @@ 
Source code for lightning.impl.svrg
         self.tol = tol
         self.verbose = verbose
         self.callback = callback
-        self.random_state = random_state

+        self.random_state = random_state
 
     def _get_loss(self):
         losses = {
@@ -281,26 +269,28 @@ 
Source code for lightning.impl.svrg
         }
         return losses[self.loss]
 
-    def fit(self, X, y):
+
[docs]    def fit(self, X, y):
         self._set_label_transformers(y)
         Y = np.asfortranarray(self.label_binarizer_.transform(y),
                               dtype=np.float64)
-        return self._fit(X, Y)

+        return self._fit(X, Y)

 
 
 
[docs]class SVRGRegressor(BaseRegressor, _BaseSVRG):
-    """
+    r"""
     Estimator for learning linear regressors by SVRG.
 
     Solves the following objective:
 
+    .. code-block::
+
         minimize_w  1 / n_samples * \sum_i loss(w^T x_i, y_i)
                     + alpha * 0.5 * ||w||^2_2
     """
 
-
[docs]    def __init__(self, eta=1.0, alpha=1.0, loss="squared", gamma=1.0,
+    def __init__(self, eta=1.0, alpha=1.0, loss="squared", gamma=1.0,
                  max_iter=10, n_inner=1.0, tol=1e-3, verbose=0,
-                 callback=None, random_state=None):
+                 callback=None, random_state=None):
         self.eta = eta
         self.alpha = alpha
         self.loss = loss
@@ -310,7 +300,7 @@ 
Source code for lightning.impl.svrg
         self.tol = tol
         self.verbose = verbose
         self.callback = callback
-        self.random_state = random_state

+        self.random_state = random_state
 
     def _get_loss(self):
         losses = {
@@ -318,13 +308,16 @@ 
Source code for lightning.impl.svrg
         }
         return losses[self.loss]
 
-    def fit(self, X, y):
+
[docs]    def fit(self, X, y):
         self.outputs_2d_ = len(y.shape) > 1
         Y = y.reshape(-1, 1) if not self.outputs_2d_ else y
         Y = Y.astype(np.float64)
-        return self._fit(X, Y)

+        return self._fit(X, Y)

 

 
+    

+      
+  

 

 

   

@@ -333,8 +326,8 @@ 
Source code for lightning.impl.svrg
       
     

     

-        © Copyright Mathieu Blondel.

-      Created using Sphinx 1.3.5.

+        © Copyright 2021, Mathieu Blondel.

+      Created using Sphinx 4.0.1.

     

   

 

diff --git a/_modules/lightning/ranking.html b/_modules/lightning/ranking.html
deleted file mode 100644
index 8bac8419..00000000
--- a/_modules/lightning/ranking.html
+++ /dev/null
@@ -1,215 +0,0 @@
-
-
-
-
-
-  
-    
-    
-    lightning.ranking — lightning dev documentation
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-
-
-
-
-
-  
-  
-
-  
-
-

-  
-  
Source code for lightning.ranking
-from .impl.prank import PRank
-from .impl.prank import KernelPRank
-

-
-

-

-  

-    

-      Back to top
-      
-    

-    

-        © Copyright Mathieu Blondel.

-      Created using Sphinx 1.2.3.

-    

-  

-

-  
-
\ No newline at end of file
diff --git a/_modules/lightning/regression.html b/_modules/lightning/regression.html
deleted file mode 100644
index 2c9e4fd6..00000000
--- a/_modules/lightning/regression.html
+++ /dev/null
@@ -1,222 +0,0 @@
-
-
-
-
-
-  
-    
-    
-    lightning.regression — lightning dev documentation
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-
-
-
-
-
-  
-  
-
-  
-
-

-  
-  
Source code for lightning.regression
-from .impl.adagrad import AdaGradRegressor
-from .impl.dual_cd import LinearSVR
-from .impl.primal_cd import CDRegressor
-from .impl.fista import FistaRegressor
-from .impl.sag import SAGRegressor
-from .impl.sag import SAGARegressor
-from .impl.sdca import SDCARegressor
-from .impl.sgd import SGDRegressor
-from .impl.svrg import SVRGRegressor
-

-
-

-

-  

-    

-      Back to top
-      
-    

-    

-        © Copyright Mathieu Blondel.

-      Created using Sphinx 1.2.3.

-    

-  

-

-  
-
\ No newline at end of file
diff --git a/_modules/sklearn/base.html b/_modules/sklearn/base.html
deleted file mode 100644
index 6c3cba7b..00000000
--- a/_modules/sklearn/base.html
+++ /dev/null
@@ -1,727 +0,0 @@
-
-
-
-
-
-  
-    
-    
-    sklearn.base — lightning dev documentation
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-    
-
-
-
-
-
-  
-  
-
-  
-
-

-  
-  
Source code for sklearn.base
-"""Base classes for all estimators."""
-
-# Author: Gael Varoquaux <gael.varoquaux@normalesup.org>
-# License: BSD 3 clause
-
-import copy
-import warnings
-
-import numpy as np
-from scipy import sparse
-from .externals import six
-from .utils.fixes import signature
-from .utils.deprecation import deprecated
-from .exceptions import ChangedBehaviorWarning as _ChangedBehaviorWarning
-
-
-@deprecated("ChangedBehaviorWarning has been moved into the sklearn.exceptions"
-            " module. It will not be available here from version 0.19")
-class ChangedBehaviorWarning(_ChangedBehaviorWarning):
-    pass
-
-
-##############################################################################
-def _first_and_last_element(arr):
-    """Returns first and last element of numpy array or sparse matrix."""
-    if isinstance(arr, np.ndarray) or hasattr(arr, 'data'):
-        # numpy array or sparse matrix with .data attribute
-        data = arr.data if sparse.issparse(arr) else arr
-        return data.flat[0], data.flat[-1]
-    else:
-        # Sparse matrices without .data attribute. Only dok_matrix at
-        # the time of writing, in this case indexing is fast
-        return arr[0, 0], arr[-1, -1]
-
-
-def clone(estimator, safe=True):
-    """Constructs a new estimator with the same parameters.
-
-    Clone does a deep copy of the model in an estimator
-    without actually copying attached data. It yields a new estimator
-    with the same parameters that has not been fit on any data.
-
-    Parameters
-    ----------
-    estimator: estimator object, or list, tuple or set of objects
-        The estimator or group of estimators to be cloned
-
-    safe: boolean, optional
-        If safe is false, clone will fall back to a deepcopy on objects
-        that are not estimators.
-
-    """
-    estimator_type = type(estimator)
-    # XXX: not handling dictionaries
-    if estimator_type in (list, tuple, set, frozenset):
-        return estimator_type([clone(e, safe=safe) for e in estimator])
-    elif not hasattr(estimator, 'get_params'):
-        if not safe:
-            return copy.deepcopy(estimator)
-        else:
-            raise TypeError("Cannot clone object '%s' (type %s): "
-                            "it does not seem to be a scikit-learn estimator "
-                            "as it does not implement a 'get_params' methods."
-                            % (repr(estimator), type(estimator)))
-    klass = estimator.__class__
-    new_object_params = estimator.get_params(deep=False)
-    for name, param in six.iteritems(new_object_params):
-        new_object_params[name] = clone(param, safe=False)
-    new_object = klass(**new_object_params)
-    params_set = new_object.get_params(deep=False)
-
-    # quick sanity check of the parameters of the clone
-    for name in new_object_params:
-        param1 = new_object_params[name]
-        param2 = params_set[name]
-        if isinstance(param1, np.ndarray):
-            # For most ndarrays, we do not test for complete equality
-            if not isinstance(param2, type(param1)):
-                equality_test = False
-            elif (param1.ndim > 0
-                    and param1.shape[0] > 0
-                    and isinstance(param2, np.ndarray)
-                    and param2.ndim > 0
-                    and param2.shape[0] > 0):
-                equality_test = (
-                    param1.shape == param2.shape
-                    and param1.dtype == param2.dtype
-                    and (_first_and_last_element(param1) ==
-                         _first_and_last_element(param2))
-                )
-            else:
-                equality_test = np.all(param1 == param2)
-        elif sparse.issparse(param1):
-            # For sparse matrices equality doesn't work
-            if not sparse.issparse(param2):
-                equality_test = False
-            elif param1.size == 0 or param2.size == 0:
-                equality_test = (
-                    param1.__class__ == param2.__class__
-                    and param1.size == 0
-                    and param2.size == 0
-                )
-            else:
-                equality_test = (
-                    param1.__class__ == param2.__class__
-                    and (_first_and_last_element(param1) ==
-                         _first_and_last_element(param2))
-                    and param1.nnz == param2.nnz
-                    and param1.shape == param2.shape
-                )
-        else:
-            new_obj_val = new_object_params[name]
-            params_set_val = params_set[name]
-            # The following construct is required to check equality on special
-            # singletons such as np.nan that are not equal to them-selves:
-            equality_test = (new_obj_val == params_set_val or
-                             new_obj_val is params_set_val)
-        if not equality_test:
-            raise RuntimeError('Cannot clone object %s, as the constructor '
-                               'does not seem to set parameter %s' %
-                               (estimator, name))
-
-    return new_object
-
-
-###############################################################################
-def _pprint(params, offset=0, printer=repr):
-    """Pretty print the dictionary 'params'
-
-    Parameters
-    ----------
-    params: dict
-        The dictionary to pretty print
-
-    offset: int
-        The offset in characters to add at the begin of each line.
-
-    printer:
-        The function to convert entries to strings, typically
-        the builtin str or repr
-
-    """
-    # Do a multi-line justified repr:
-    options = np.get_printoptions()
-    np.set_printoptions(precision=5, threshold=64, edgeitems=2)
-    params_list = list()
-    this_line_length = offset
-    line_sep = ',\n' + (1 + offset // 2) * ' '
-    for i, (k, v) in enumerate(sorted(six.iteritems(params))):
-        if type(v) is float:
-            # use str for representing floating point numbers
-            # this way we get consistent representation across
-            # architectures and versions.
-            this_repr = '%s=%s' % (k, str(v))
-        else:
-            # use repr of the rest
-            this_repr = '%s=%s' % (k, printer(v))
-        if len(this_repr) > 500:
-            this_repr = this_repr[:300] + '...' + this_repr[-100:]
-        if i > 0:
-            if (this_line_length + len(this_repr) >= 75 or '\n' in this_repr):
-                params_list.append(line_sep)
-                this_line_length = len(line_sep)
-            else:
-                params_list.append(', ')
-                this_line_length += 2
-        params_list.append(this_repr)
-        this_line_length += len(this_repr)
-
-    np.set_printoptions(**options)
-    lines = ''.join(params_list)
-    # Strip trailing space to avoid nightmare in doctests
-    lines = '\n'.join(l.rstrip(' ') for l in lines.split('\n'))
-    return lines
-
-
-###############################################################################
-class BaseEstimator(object):
-    """Base class for all estimators in scikit-learn
-
-    Notes
-    -----
-    All estimators should specify all the parameters that can be set
-    at the class level in their ``__init__`` as explicit keyword
-    arguments (no ``*args`` or ``**kwargs``).
-    """
-
-    @classmethod
-    def _get_param_names(cls):
-        """Get parameter names for the estimator"""
-        # fetch the constructor or the original constructor before
-        # deprecation wrapping if any
-        init = getattr(cls.__init__, 'deprecated_original', cls.__init__)
-        if init is object.__init__:
-            # No explicit constructor to introspect
-            return []
-
-        # introspect the constructor arguments to find the model parameters
-        # to represent
-        init_signature = signature(init)
-        # Consider the constructor parameters excluding 'self'
-        parameters = [p for p in init_signature.parameters.values()
-                      if p.name != 'self' and p.kind != p.VAR_KEYWORD]
-        for p in parameters:
-            if p.kind == p.VAR_POSITIONAL:
-                raise RuntimeError("scikit-learn estimators should always "
-                                   "specify their parameters in the signature"
-                                   " of their __init__ (no varargs)."
-                                   " %s with constructor %s doesn't "
-                                   " follow this convention."
-                                   % (cls, init_signature))
-        # Extract and sort argument names excluding 'self'
-        return sorted([p.name for p in parameters])
-
-    def get_params(self, deep=True):
-        """Get parameters for this estimator.
-
-        Parameters
-        ----------
-        deep: boolean, optional
-            If True, will return the parameters for this estimator and
-            contained subobjects that are estimators.
-
-        Returns
-        -------
-        params : mapping of string to any
-            Parameter names mapped to their values.
-        """
-        out = dict()
-        for key in self._get_param_names():
-            # We need deprecation warnings to always be on in order to
-            # catch deprecated param values.
-            # This is set in utils/__init__.py but it gets overwritten
-            # when running under python3 somehow.
-            warnings.simplefilter("always", DeprecationWarning)
-            try:
-                with warnings.catch_warnings(record=True) as w:
-                    value = getattr(self, key, None)
-                if len(w) and w[0].category == DeprecationWarning:
-                    # if the parameter is deprecated, don't show it
-                    continue
-            finally:
-                warnings.filters.pop(0)
-
-            # XXX: should we rather test if instance of estimator?
-            if deep and hasattr(value, 'get_params'):
-                deep_items = value.get_params().items()
-                out.update((key + '__' + k, val) for k, val in deep_items)
-            out[key] = value
-        return out
-
-    def set_params(self, **params):
-        """Set the parameters of this estimator.
-
-        The method works on simple estimators as well as on nested objects
-        (such as pipelines). The latter have parameters of the form
-        ``<component>__<parameter>`` so that it's possible to update each
-        component of a nested object.
-
-        Returns
-        -------
-        self
-        """
-        if not params:
-            # Simple optimisation to gain speed (inspect is slow)
-            return self
-        valid_params = self.get_params(deep=True)
-        for key, value in six.iteritems(params):
-            split = key.split('__', 1)
-            if len(split) > 1:
-                # nested objects case
-                name, sub_name = split
-                if name not in valid_params:
-                    raise ValueError('Invalid parameter %s for estimator %s. '
-                                     'Check the list of available parameters '
-                                     'with `estimator.get_params().keys()`.' %
-                                     (name, self))
-                sub_object = valid_params[name]
-                sub_object.set_params(**{sub_name: value})
-            else:
-                # simple objects case
-                if key not in valid_params:
-                    raise ValueError('Invalid parameter %s for estimator %s. '
-                                     'Check the list of available parameters '
-                                     'with `estimator.get_params().keys()`.' %
-                                     (key, self.__class__.__name__))
-                setattr(self, key, value)
-        return self
-
-    def __repr__(self):
-        class_name = self.__class__.__name__
-        return '%s(%s)' % (class_name, _pprint(self.get_params(deep=False),
-                                               offset=len(class_name),),)
-
-
-###############################################################################
-class ClassifierMixin(object):
-    """Mixin class for all classifiers in scikit-learn."""
-    _estimator_type = "classifier"
-
-    def score(self, X, y, sample_weight=None):
-        """Returns the mean accuracy on the given test data and labels.
-
-        In multi-label classification, this is the subset accuracy
-        which is a harsh metric since you require for each sample that
-        each label set be correctly predicted.
-
-        Parameters
-        ----------
-        X : array-like, shape = (n_samples, n_features)
-            Test samples.
-
-        y : array-like, shape = (n_samples) or (n_samples, n_outputs)
-            True labels for X.
-
-        sample_weight : array-like, shape = [n_samples], optional
-            Sample weights.
-
-        Returns
-        -------
-        score : float
-            Mean accuracy of self.predict(X) wrt. y.
-
-        """
-        from .metrics import accuracy_score
-        return accuracy_score(y, self.predict(X), sample_weight=sample_weight)
-
-
-###############################################################################
-class RegressorMixin(object):
-    """Mixin class for all regression estimators in scikit-learn."""
-    _estimator_type = "regressor"
-
-    def score(self, X, y, sample_weight=None):
-        """Returns the coefficient of determination R^2 of the prediction.
-
-        The coefficient R^2 is defined as (1 - u/v), where u is the regression
-        sum of squares ((y_true - y_pred) ** 2).sum() and v is the residual
-        sum of squares ((y_true - y_true.mean()) ** 2).sum().
-        Best possible score is 1.0 and it can be negative (because the
-        model can be arbitrarily worse). A constant model that always
-        predicts the expected value of y, disregarding the input features,
-        would get a R^2 score of 0.0.
-
-        Parameters
-        ----------
-        X : array-like, shape = (n_samples, n_features)
-            Test samples.
-
-        y : array-like, shape = (n_samples) or (n_samples, n_outputs)
-            True values for X.
-
-        sample_weight : array-like, shape = [n_samples], optional
-            Sample weights.
-
-        Returns
-        -------
-        score : float
-            R^2 of self.predict(X) wrt. y.
-        """
-
-        from .metrics import r2_score
-        return r2_score(y, self.predict(X), sample_weight=sample_weight,
-                        multioutput='variance_weighted')
-
-
-###############################################################################
-class ClusterMixin(object):
-    """Mixin class for all cluster estimators in scikit-learn."""
-    _estimator_type = "clusterer"
-
-    def fit_predict(self, X, y=None):
-        """Performs clustering on X and returns cluster labels.
-
-        Parameters
-        ----------
-        X : ndarray, shape (n_samples, n_features)
-            Input data.
-
-        Returns
-        -------
-        y : ndarray, shape (n_samples,)
-            cluster labels
-        """
-        # non-optimized default implementation; override when a better
-        # method is possible for a given clustering algorithm
-        self.fit(X)
-        return self.labels_
-
-
-class BiclusterMixin(object):
-    """Mixin class for all bicluster estimators in scikit-learn"""
-
-    @property
-    def biclusters_(self):
-        """Convenient way to get row and column indicators together.
-
-        Returns the ``rows_`` and ``columns_`` members.
-        """
-        return self.rows_, self.columns_
-
-    def get_indices(self, i):
-        """Row and column indices of the i'th bicluster.
-
-        Only works if ``rows_`` and ``columns_`` attributes exist.
-
-        Returns
-        -------
-        row_ind : np.array, dtype=np.intp
-            Indices of rows in the dataset that belong to the bicluster.
-        col_ind : np.array, dtype=np.intp
-            Indices of columns in the dataset that belong to the bicluster.
-
-        """
-        rows = self.rows_[i]
-        columns = self.columns_[i]
-        return np.nonzero(rows)[0], np.nonzero(columns)[0]
-
-    def get_shape(self, i):
-        """Shape of the i'th bicluster.
-
-        Returns
-        -------
-        shape : (int, int)
-            Number of rows and columns (resp.) in the bicluster.
-        """
-        indices = self.get_indices(i)
-        return tuple(len(i) for i in indices)
-
-    def get_submatrix(self, i, data):
-        """Returns the submatrix corresponding to bicluster `i`.
-
-        Works with sparse matrices. Only works if ``rows_`` and
-        ``columns_`` attributes exist.
-
-        """
-        from .utils.validation import check_array
-        data = check_array(data, accept_sparse='csr')
-        row_ind, col_ind = self.get_indices(i)
-        return data[row_ind[:, np.newaxis], col_ind]
-
-
-###############################################################################
-class TransformerMixin(object):
-    """Mixin class for all transformers in scikit-learn."""
-
-    def fit_transform(self, X, y=None, **fit_params):
-        """Fit to data, then transform it.
-
-        Fits transformer to X and y with optional parameters fit_params
-        and returns a transformed version of X.
-
-        Parameters
-        ----------
-        X : numpy array of shape [n_samples, n_features]
-            Training set.
-
-        y : numpy array of shape [n_samples]
-            Target values.
-
-        Returns
-        -------
-        X_new : numpy array of shape [n_samples, n_features_new]
-            Transformed array.
-
-        """
-        # non-optimized default implementation; override when a better
-        # method is possible for a given clustering algorithm
-        if y is None:
-            # fit method of arity 1 (unsupervised transformation)
-            return self.fit(X, **fit_params).transform(X)
-        else:
-            # fit method of arity 2 (supervised transformation)
-            return self.fit(X, y, **fit_params).transform(X)
-
-
-class DensityMixin(object):
-    """Mixin class for all density estimators in scikit-learn."""
-    _estimator_type = "DensityEstimator"
-
-    def score(self, X, y=None):
-        """Returns the score of the model on the data X
-
-        Parameters
-        ----------
-        X : array-like, shape = (n_samples, n_features)
-
-        Returns
-        -------
-        score: float
-        """
-        pass
-
-
-###############################################################################
-class MetaEstimatorMixin(object):
-    """Mixin class for all meta estimators in scikit-learn."""
-    # this is just a tag for the moment
-
-
-###############################################################################
-
-def is_classifier(estimator):
-    """Returns True if the given estimator is (probably) a classifier."""
-    return getattr(estimator, "_estimator_type", None) == "classifier"
-
-
-def is_regressor(estimator):
-    """Returns True if the given estimator is (probably) a regressor."""
-    return getattr(estimator, "_estimator_type", None) == "regressor"
-

-
-

-

-  

-    

-      Back to top
-      
-    

-    

-        © Copyright Mathieu Blondel.

-      Created using Sphinx 1.3.5.

-    

-  

-

-  
-
\ No newline at end of file
diff --git a/_sources/auto_examples/document_classification_news20.rst.txt b/_sources/auto_examples/document_classification_news20.rst.txt
new file mode 100644
index 00000000..e1825e6e
--- /dev/null
+++ b/_sources/auto_examples/document_classification_news20.rst.txt
@@ -0,0 +1,108 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "auto_examples/document_classification_news20.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        Click :ref:`here `
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_document_classification_news20.py:
+
+
+================================
+Classification of text documents
+================================
+
+.. GENERATED FROM PYTHON SOURCE LINES 7-54
+
+.. code-block:: default
+
+    import numpy as np
+
+    from sklearn.datasets import fetch_20newsgroups_vectorized
+
+    try:
+        from sklearn.model_selection import train_test_split
+    except ImportError:
+        from sklearn.cross_validation import train_test_split
+    
+    from lightning.classification import CDClassifier
+    from lightning.classification import LinearSVC
+    from lightning.classification import SGDClassifier
+
+    # Load News20 dataset from scikit-learn.
+    bunch = fetch_20newsgroups_vectorized(subset="all")
+    X = bunch.data
+    y = bunch.target
+
+    # Select a subset of the classes for faster training.
+    ind = np.arange(X.shape[0])
+    subset = y < 5
+    X = X[ind[subset]]
+    y = y[subset]
+
+    # Train / test split.
+    X_tr, X_te, y_tr, y_te = train_test_split(X, y,
+                                              train_size=0.75,
+                                              test_size=0.25,
+                                              random_state=0)
+
+    clfs = (CDClassifier(loss="squared_hinge",
+                         penalty="l2",
+                         max_iter=20,
+                         random_state=0),
+
+            LinearSVC(max_iter=20,
+                      random_state=0),
+
+            SGDClassifier(learning_rate="constant",
+                          alpha=1e-3,
+                          max_iter=20,
+                          random_state=0))
+
+    for clf in clfs:
+        print(clf.__class__.__name__)
+        clf.fit(X_tr, y_tr)
+        print(clf.score(X_te, y_te))
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  0.000 seconds)
+
+
+.. _sphx_glr_download_auto_examples_document_classification_news20.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-python
+
+     :download:`Download Python source code: document_classification_news20.py `
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+     :download:`Download Jupyter notebook: document_classification_news20.ipynb `
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery `_
diff --git a/_sources/auto_examples/document_classification_news20.txt b/_sources/auto_examples/document_classification_news20.txt
deleted file mode 100644
index 9527d670..00000000
--- a/_sources/auto_examples/document_classification_news20.txt
+++ /dev/null
@@ -1,16 +0,0 @@
-
-
-.. _example_document_classification_news20.py:
-
-
-================================
-Classification of text documents
-================================
-
-
-
-**Python source code:** :download:`document_classification_news20.py `
-
-.. literalinclude:: document_classification_news20.py
-    :lines: 7-
-    
\ No newline at end of file
diff --git a/_sources/auto_examples/index.rst.txt b/_sources/auto_examples/index.rst.txt
new file mode 100644
index 00000000..fb2465dc
--- /dev/null
+++ b/_sources/auto_examples/index.rst.txt
@@ -0,0 +1,229 @@
+:orphan:
+
+
+
+.. _sphx_glr_auto_examples:
+
+Examples
+========
+
+These are some examples using the lightning machine learning library.
+
+
+
+.. raw:: html
+
+    

+
+.. only:: html
+
+ .. figure:: /auto_examples/images/thumb/sphx_glr_plot_sgd_loss_functions_thumb.png
+     :alt: SGD: Convex Loss Functions
+
+     :ref:`sphx_glr_auto_examples_plot_sgd_loss_functions.py`
+
+.. raw:: html
+
+    

+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_sgd_loss_functions
+
+.. raw:: html
+
+    

+
+.. only:: html
+
+ .. figure:: /auto_examples/images/thumb/sphx_glr_plot_1d_total_variation_thumb.png
+     :alt: Signal recovery by 1D total variation
+
+     :ref:`sphx_glr_auto_examples_plot_1d_total_variation.py`
+
+.. raw:: html
+
+    

+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_1d_total_variation
+
+.. raw:: html
+
+    

+
+.. only:: html
+
+ .. figure:: /auto_examples/images/thumb/sphx_glr_plot_robust_regression_thumb.png
+     :alt: Robust regression
+
+     :ref:`sphx_glr_auto_examples_plot_robust_regression.py`
+
+.. raw:: html
+
+    

+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_robust_regression
+
+.. raw:: html
+
+    

+
+.. only:: html
+
+ .. figure:: /auto_examples/images/thumb/sphx_glr_trace_thumb.png
+     :alt: Trace norm
+
+     :ref:`sphx_glr_auto_examples_trace.py`
+
+.. raw:: html
+
+    

+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/trace
+
+.. raw:: html
+
+    

+
+.. only:: html
+
+ .. figure:: /auto_examples/images/thumb/sphx_glr_plot_sample_weight_thumb.png
+     :alt: SAGA: Weighted samples
+
+     :ref:`sphx_glr_auto_examples_plot_sample_weight.py`
+
+.. raw:: html
+
+    

+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_sample_weight
+
+.. raw:: html
+
+    

+
+.. only:: html
+
+ .. figure:: /auto_examples/images/thumb/sphx_glr_document_classification_news20_thumb.png
+     :alt: Classification of text documents
+
+     :ref:`sphx_glr_auto_examples_document_classification_news20.py`
+
+.. raw:: html
+
+    

+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/document_classification_news20
+
+.. raw:: html
+
+    

+
+.. only:: html
+
+ .. figure:: /auto_examples/images/thumb/sphx_glr_plot_svrg_thumb.png
+     :alt: Sensitivity to hyper-parameters in SVRG
+
+     :ref:`sphx_glr_auto_examples_plot_svrg.py`
+
+.. raw:: html
+
+    

+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_svrg
+
+.. raw:: html
+
+    

+
+.. only:: html
+
+ .. figure:: /auto_examples/images/thumb/sphx_glr_plot_sparse_non_linear_thumb.png
+     :alt: Sparse non-linear classification
+
+     :ref:`sphx_glr_auto_examples_plot_sparse_non_linear.py`
+
+.. raw:: html
+
+    

+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_sparse_non_linear
+
+.. raw:: html
+
+    

+
+.. only:: html
+
+ .. figure:: /auto_examples/images/thumb/sphx_glr_plot_l2_solvers_thumb.png
+     :alt: L2 solver comparison
+
+     :ref:`sphx_glr_auto_examples_plot_l2_solvers.py`
+
+.. raw:: html
+
+    

+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_l2_solvers
+.. raw:: html
+
+    

+
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-gallery
+
+
+  .. container:: sphx-glr-download sphx-glr-download-python
+
+    :download:`Download all examples in Python source code: auto_examples_python.zip `
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+    :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip `
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery `_
diff --git a/_sources/auto_examples/index.txt b/_sources/auto_examples/index.txt
deleted file mode 100644
index de04a113..00000000
--- a/_sources/auto_examples/index.txt
+++ /dev/null
@@ -1,254 +0,0 @@
-
-
-
-.. raw:: html
-
-
-    
-
-.. _examples-index:
-
-Examples
-========
-
-
-
-
-These are some examples using the lightning machine learning library
-
-
-
-
-.. raw:: html
-
-    

-
-.. only:: html
-
-  .. figure:: ./images/thumb/plot_1d_total_variation.png
-    :target: ./plot_1d_total_variation.html
-
-    :ref:`example_plot_1d_total_variation.py`
-
-
-.. raw:: html
-
-    

-
-
-
-.. toctree::
-   :hidden:
-
-   ./plot_1d_total_variation
-
-
-
-.. raw:: html
-
-    

-
-.. only:: html
-
-  .. figure:: ./images/thumb/plot_sgd_loss_functions.png
-    :target: ./plot_sgd_loss_functions.html
-
-    :ref:`example_plot_sgd_loss_functions.py`
-
-
-.. raw:: html
-
-    

-
-
-
-.. toctree::
-   :hidden:
-
-   ./plot_sgd_loss_functions
-
-
-
-.. raw:: html
-
-    

-
-.. only:: html
-
-  .. figure:: ./images/thumb/plot_robust_regression.png
-    :target: ./plot_robust_regression.html
-
-    :ref:`example_plot_robust_regression.py`
-
-
-.. raw:: html
-
-    

-
-
-
-.. toctree::
-   :hidden:
-
-   ./plot_robust_regression
-
-
-
-.. raw:: html
-
-    

-
-.. only:: html
-
-  .. figure:: ./images/thumb/trace.png
-    :target: ./trace.html
-
-    :ref:`example_trace.py`
-
-
-.. raw:: html
-
-    

-
-
-
-.. toctree::
-   :hidden:
-
-   ./trace
-
-
-
-.. raw:: html
-
-    

-
-.. only:: html
-
-  .. figure:: ./images/thumb/plot_sample_weight.png
-    :target: ./plot_sample_weight.html
-
-    :ref:`example_plot_sample_weight.py`
-
-
-.. raw:: html
-
-    

-
-
-
-.. toctree::
-   :hidden:
-
-   ./plot_sample_weight
-
-
-
-.. raw:: html
-
-    

-
-.. only:: html
-
-  .. figure:: ./images/thumb/document_classification_news20.png
-    :target: ./document_classification_news20.html
-
-    :ref:`example_document_classification_news20.py`
-
-
-.. raw:: html
-
-    

-
-
-
-.. toctree::
-   :hidden:
-
-   ./document_classification_news20
-
-
-
-.. raw:: html
-
-    

-
-.. only:: html
-
-  .. figure:: ./images/thumb/plot_svrg.png
-    :target: ./plot_svrg.html
-
-    :ref:`example_plot_svrg.py`
-
-
-.. raw:: html
-
-    

-
-
-
-.. toctree::
-   :hidden:
-
-   ./plot_svrg
-
-
-
-.. raw:: html
-
-    

-
-.. only:: html
-
-  .. figure:: ./images/thumb/plot_sparse_non_linear.png
-    :target: ./plot_sparse_non_linear.html
-
-    :ref:`example_plot_sparse_non_linear.py`
-
-
-.. raw:: html
-
-    

-
-
-
-.. toctree::
-   :hidden:
-
-   ./plot_sparse_non_linear
-
-
-
-.. raw:: html
-
-    

-
-.. only:: html
-
-  .. figure:: ./images/thumb/plot_l2_solvers.png
-    :target: ./plot_l2_solvers.html
-
-    :ref:`example_plot_l2_solvers.py`
-
-
-.. raw:: html
-
-    

-
-
-
-.. toctree::
-   :hidden:
-
-   ./plot_l2_solvers
-
-
-.. raw:: html
-
-    

-    
\ No newline at end of file
diff --git a/_sources/auto_examples/plot_1d_total_variation.rst.txt b/_sources/auto_examples/plot_1d_total_variation.rst.txt
new file mode 100644
index 00000000..cd31dfbd
--- /dev/null
+++ b/_sources/auto_examples/plot_1d_total_variation.rst.txt
@@ -0,0 +1,114 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "auto_examples/plot_1d_total_variation.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        Click :ref:`here `
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_1d_total_variation.py:
+
+
+=====================================
+Signal recovery by 1D total variation
+=====================================
+
+In this example, we generate a signal that is piecewise constant. We then
+observe some random and corrupted measurements from that signal and
+then try to recover that signal using L1 and 1D total variation (TV1D) penalties.
+
+Given a ground truth vectors, the signal that we observe is given by
+
+     y = sign(X ground_truth + noise)
+
+where X is a random matrix. We obtain the vector ground_truth by solving
+an optimization problem using lightning's :class:`lightning.classification.FistaClassifier`.
+
+The 1D total variation is also known as fused lasso.
+
+.. GENERATED FROM PYTHON SOURCE LINES 19-49
+
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_1d_total_variation_001.png
+    :alt: plot 1d total variation
+    :class: sphx-glr-single-img
+
+
+
+
+
+.. code-block:: default
+
+    # Author: Fabian Pedregosa 
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+    from lightning.classification import FistaClassifier
+    from sklearn.model_selection import GridSearchCV
+
+    # generate some synthetic data
+    n_samples = 200
+    ground_truth = np.concatenate((
+        np.ones(20), - np.ones(20), np.zeros(40)))
+    n_features = ground_truth.size
+    np.random.seed(0)  # for reproducibility
+    X = np.random.rand(n_samples, n_features)
+    # generate y as a linear model, y = sign(X w + noise)
+    y = np.sign(X.dot(ground_truth) + 0.5 * np.random.randn(n_samples)).astype(int)
+
+
+    for penalty in ('l1', 'tv1d'):
+        clf = FistaClassifier(penalty=penalty)
+        gs = GridSearchCV(clf, {'alpha': np.logspace(-3, 3, 10)})
+        gs.fit(X, y)
+        coefs = gs.best_estimator_.coef_
+        plt.plot(coefs.ravel(), label='%s penalty' % penalty, lw=3)
+
+    plt.plot(ground_truth, lw=3, marker='^', markevery=5, markersize=10, label="ground truth")
+    plt.grid()
+    plt.legend()
+    plt.ylim((-1.5, 1.5))
+    plt.show()
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  1.845 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_1d_total_variation.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-python
+
+     :download:`Download Python source code: plot_1d_total_variation.py `
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+     :download:`Download Jupyter notebook: plot_1d_total_variation.ipynb `
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery `_
diff --git a/_sources/auto_examples/plot_1d_total_variation.txt b/_sources/auto_examples/plot_1d_total_variation.txt
deleted file mode 100644
index 8b995bcc..00000000
--- a/_sources/auto_examples/plot_1d_total_variation.txt
+++ /dev/null
@@ -1,38 +0,0 @@
-
-
-.. _example_plot_1d_total_variation.py:
-
-
-=====================================
-Signal recovery by 1D total variation
-=====================================
-
-In this example, we generate a signal that is piecewise constant. We then
-observe some random and corrupted measurements from that signal and
-then try to recover that signal using L1 and 1D total variation (TV1D) penalties.
-
-Given a ground truth vectors, the signal that we observe is given by
-
-     y = sign(X ground_truth + noise)
-
-where X is a random matrix. We obtain the vector ground_truth by solving
-an optimization problem using lightning's :class:`lightning.classification.FistaClassifier`.
-
-The 1D total variation is also known as fused lasso.
-
-
-
-.. image:: images/plot_1d_total_variation_001.png
-    :align: center
-
-
-
-
-**Python source code:** :download:`plot_1d_total_variation.py `
-
-.. literalinclude:: plot_1d_total_variation.py
-    :lines: 19-
-
-**Total running time of the example:**  0.83 seconds
-( 0 minutes  0.83 seconds)
-    
\ No newline at end of file
diff --git a/_sources/auto_examples/plot_l2_solvers.rst.txt b/_sources/auto_examples/plot_l2_solvers.rst.txt
new file mode 100644
index 00000000..4788a11b
--- /dev/null
+++ b/_sources/auto_examples/plot_l2_solvers.rst.txt
@@ -0,0 +1,217 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "auto_examples/plot_l2_solvers.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        Click :ref:`here `
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_l2_solvers.py:
+
+
+=====================
+L2 solver comparison
+=====================
+
+This example compares different solvers with L2 regularization.
+
+.. GENERATED FROM PYTHON SOURCE LINES 8-134
+
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_l2_solvers_001.png
+    :alt: plot l2 solvers
+    :class: sphx-glr-single-img
+
+
+.. rst-class:: sphx-glr-script-out
+
+ Out:
+
+ .. code-block:: none
+
+
+    SVRG
+    SDCA
+    PCD
+    AdaGrad
+    SAGA
+    SAG
+
+
+
+
+
+
+|
+
+.. code-block:: default
+
+    print(__doc__)
+
+    import sys
+    import time
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+
+    from sklearn.datasets import make_classification
+    from sklearn.datasets import fetch_20newsgroups_vectorized
+
+    from lightning.classification import SVRGClassifier
+    from lightning.classification import SDCAClassifier
+    from lightning.classification import CDClassifier
+    from lightning.classification import AdaGradClassifier
+    from lightning.classification import SAGAClassifier, SAGClassifier
+
+    from lightning.impl.adagrad_fast import _proj_elastic_all
+
+    class Callback(object):
+
+        def __init__(self, X, y):
+            self.X = X
+            self.y = y
+            self.obj = []
+            self.times = []
+            self.start_time = time.time()
+            self.test_time = 0
+
+        def __call__(self, clf, t=None):
+            test_time = time.time()
+
+            if hasattr(clf, "_finalize_coef"):
+                clf._finalize_coef()
+
+            if t is not None:
+                _proj_elastic_all(clf.eta, t, clf.g_sum_[0], clf.g_norms_[0],
+                                  alpha1=0, alpha2=clf.alpha, delta=0,
+                                  w=clf.coef_[0])
+
+
+            y_pred = clf.decision_function(self.X).ravel()
+            loss = (np.maximum(1 - self.y * y_pred, 0) ** 2).mean()
+            coef = clf.coef_.ravel()
+            regul = 0.5 * clf.alpha * np.dot(coef, coef)
+            self.obj.append(loss + regul)
+            self.test_time += time.time() - test_time
+            self.times.append(time.time() -  self.start_time - self.test_time)
+
+    try:
+        dataset = sys.argv[1]
+    except:
+        dataset = "synthetic"
+
+    if dataset == "news20":
+        bunch = fetch_20newsgroups_vectorized(subset="all")
+        X = bunch.data
+        y = bunch.target
+        y[y >= 1] = 1
+        alpha = 1e-4
+        eta_svrg = 1e-1
+        eta_adagrad = 1
+        xlim = (0, 20)
+
+    else:
+        X, y = make_classification(n_samples=10000,
+                                   n_features=100,
+                                   n_classes=2,
+                                   random_state=0)
+        alpha = 1e-2
+        eta_svrg = 1e-3
+        eta_adagrad = 1e-2
+        xlim = [0, 2]
+
+    y = y * 2 - 1
+
+    # make sure the method does not stop prematurely, we want to see
+    # the full convergence path
+    tol = 1e-24
+
+    clf1 = SVRGClassifier(loss="squared_hinge", alpha=alpha, eta=eta_svrg,
+                          n_inner=1.0, max_iter=100, random_state=0, tol=1e-24)
+    clf2 = SDCAClassifier(loss="squared_hinge", alpha=alpha,
+                          max_iter=100, n_calls=X.shape[0]/2, random_state=0, tol=tol)
+    clf3 = CDClassifier(loss="squared_hinge", alpha=alpha, C=1.0/X.shape[0],
+                        max_iter=50, n_calls=X.shape[1]/3, random_state=0, tol=tol)
+    clf4 = AdaGradClassifier(loss="squared_hinge", alpha=alpha, eta=eta_adagrad,
+                        n_iter=100, n_calls=X.shape[0]/2, random_state=0)
+    clf5 = SAGAClassifier(loss="squared_hinge", alpha=alpha,
+                        max_iter=100, random_state=0, tol=tol)
+    clf6 = SAGClassifier(loss="squared_hinge", alpha=alpha,
+                        max_iter=100, random_state=0, tol=tol)
+
+    plt.figure()
+
+    data = {}
+    for clf, name in ((clf1, "SVRG"),
+                      (clf2, "SDCA"),
+                      (clf3, "PCD"),
+                      (clf4, "AdaGrad"),
+                      (clf5, "SAGA"),
+                      (clf6, "SAG")
+                      ):
+        print(name)
+        cb = Callback(X, y)
+        clf.callback = cb
+
+        if name == "PCD" and hasattr(X, "tocsc"):
+            clf.fit(X.tocsc(), y)
+        else:
+            clf.fit(X, y)
+        data[name] = (cb.times, np.array(cb.obj))
+
+    # get best value
+    fmin = min([np.min(a[1]) for a in data.values()])
+    for name in data:
+        plt.plot(data[name][0], data[name][1] - fmin, label=name, lw=3)
+
+    plt.xlim(xlim)
+    plt.yscale('log')
+    plt.xlabel("CPU time")
+    plt.ylabel("Objective value minus optimum")
+    plt.legend()
+    plt.grid()
+
+    plt.show()
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  4.340 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_l2_solvers.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-python
+
+     :download:`Download Python source code: plot_l2_solvers.py `
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+     :download:`Download Jupyter notebook: plot_l2_solvers.ipynb `
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery `_
diff --git a/_sources/auto_examples/plot_l2_solvers.txt b/_sources/auto_examples/plot_l2_solvers.txt
deleted file mode 100644
index bd93dd46..00000000
--- a/_sources/auto_examples/plot_l2_solvers.txt
+++ /dev/null
@@ -1,36 +0,0 @@
-
-
-.. _example_plot_l2_solvers.py:
-
-
-=====================
-L2 solver comparison
-=====================
-
-This example compares different solvers with L2 regularization.
-
-
-
-.. image:: images/plot_l2_solvers_001.png
-    :align: center
-
-
-**Script output**::
-
-  SVRG
-  SDCA
-  PCD
-  AdaGrad
-  SAGA
-  SAG
-
-
-
-**Python source code:** :download:`plot_l2_solvers.py `
-
-.. literalinclude:: plot_l2_solvers.py
-    :lines: 8-
-
-**Total running time of the example:**  5.06 seconds
-( 0 minutes  5.06 seconds)
-    
\ No newline at end of file
diff --git a/_sources/auto_examples/plot_robust_regression.rst.txt b/_sources/auto_examples/plot_robust_regression.rst.txt
new file mode 100644
index 00000000..bcae6eb1
--- /dev/null
+++ b/_sources/auto_examples/plot_robust_regression.rst.txt
@@ -0,0 +1,110 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "auto_examples/plot_robust_regression.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        Click :ref:`here `
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_robust_regression.py:
+
+
+==================
+Robust regression
+==================
+
+.. GENERATED FROM PYTHON SOURCE LINES 7-46
+
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_robust_regression_001.png
+    :alt: plot robust regression
+    :class: sphx-glr-single-img
+
+
+
+
+
+.. code-block:: default
+
+    print(__doc__)
+
+    import numpy as np
+    import pylab as pl
+
+    from sklearn.datasets import make_regression
+    from sklearn.utils import check_random_state
+    from sklearn.linear_model import Ridge
+
+    from lightning.regression import LinearSVR
+
+    # Generate regression data.
+    X_train, y_train = make_regression(n_samples=15, n_features=1,
+                                       n_informative=1, random_state=0)
+
+    # Add noise.
+    rs = check_random_state(0)
+    y_train += rs.normal(np.std(y_train), size=X_train.shape[0])
+    # Add an outlier.
+    y_train[5] *= 5
+
+    X_test = np.linspace(-5, 5, 100).reshape(-1, 1)
+
+    pl.figure()
+    pl.scatter(X_train.ravel(), y_train)
+
+    reg = Ridge(alpha=1e-1)
+    reg.fit(X_train, y_train)
+    pl.plot(X_test.ravel(), reg.predict(X_test), label="Ridge")
+
+    # LinearSVR is equivalent to absolute-loss regression (robust regression)
+    # when epsilon=0.
+    reg = LinearSVR(C=10, epsilon=0, fit_intercept=True, random_state=0)
+    reg.fit(X_train, y_train)
+    pl.plot(X_test.ravel(), reg.predict(X_test), label="Robust")
+
+    pl.legend(loc="upper left")
+
+    pl.show()
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  0.282 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_robust_regression.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-python
+
+     :download:`Download Python source code: plot_robust_regression.py `
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+     :download:`Download Jupyter notebook: plot_robust_regression.ipynb `
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery `_
diff --git a/_sources/auto_examples/plot_robust_regression.txt b/_sources/auto_examples/plot_robust_regression.txt
deleted file mode 100644
index 11454cf0..00000000
--- a/_sources/auto_examples/plot_robust_regression.txt
+++ /dev/null
@@ -1,26 +0,0 @@
-
-
-.. _example_plot_robust_regression.py:
-
-
-==================
-Robust regression
-==================
-
-
-
-
-.. image:: images/plot_robust_regression_001.png
-    :align: center
-
-
-
-
-**Python source code:** :download:`plot_robust_regression.py `
-
-.. literalinclude:: plot_robust_regression.py
-    :lines: 7-
-
-**Total running time of the example:**  0.12 seconds
-( 0 minutes  0.12 seconds)
-    
\ No newline at end of file
diff --git a/_sources/auto_examples/plot_sample_weight.rst.txt b/_sources/auto_examples/plot_sample_weight.rst.txt
new file mode 100644
index 00000000..da309c2b
--- /dev/null
+++ b/_sources/auto_examples/plot_sample_weight.rst.txt
@@ -0,0 +1,115 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "auto_examples/plot_sample_weight.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        Click :ref:`here `
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_sample_weight.py:
+
+
+======================
+SAGA: Weighted samples
+======================
+
+Plot decision function of a weighted dataset, where the size of points
+is proportional to its weight.
+
+Adapted from scikit-learn's plot_sgd_weighted_samples.py
+
+.. GENERATED FROM PYTHON SOURCE LINES 11-50
+
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_sample_weight_001.png
+    :alt: plot sample weight
+    :class: sphx-glr-single-img
+
+
+
+
+
+.. code-block:: default
+
+    print(__doc__)
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+    from lightning.impl.sag import SAGAClassifier
+
+    # we create 20 points
+    np.random.seed(0)
+    X = np.r_[np.random.randn(10, 2) + [1, 1], np.random.randn(10, 2)]
+    y = np.array([1] * 10 + [-1] * 10)
+    sample_weight = 100 * np.abs(np.random.randn(20))
+    # and assign a bigger weight to the last 10 samples
+    sample_weight[:10] *= 10
+
+    # plot the weighted data points
+    xx, yy = np.meshgrid(np.linspace(-4, 5, 500), np.linspace(-4, 5, 500))
+    plt.figure()
+    plt.scatter(X[:, 0], X[:, 1], c=y, s=sample_weight, alpha=0.9,
+                cmap=plt.cm.bone)
+
+    # fit the unweighted model
+    clf = SAGAClassifier(alpha=0.01, loss='log')
+    clf.fit(X, y)
+    Z = clf.decision_function(np.c_[xx.ravel(), yy.ravel()])
+    Z = Z.reshape(xx.shape)
+    no_weights = plt.contour(xx, yy, Z, levels=[0], linestyles=['solid'])
+
+    # fit the weighted model
+    clf = SAGAClassifier(alpha=0.01, loss='log')
+    clf.fit(X, y, sample_weight=sample_weight)
+    Z = clf.decision_function(np.c_[xx.ravel(), yy.ravel()])
+    Z = Z.reshape(xx.shape)
+    samples_weights = plt.contour(xx, yy, Z, levels=[0], linestyles=['dashed'])
+
+    plt.legend([no_weights.collections[0], samples_weights.collections[0]],
+               ["no weights", "with weights"], loc="lower left")
+
+    plt.xticks(())
+    plt.yticks(())
+    plt.show()
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  0.095 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_sample_weight.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-python
+
+     :download:`Download Python source code: plot_sample_weight.py `
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+     :download:`Download Jupyter notebook: plot_sample_weight.ipynb `
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery `_
diff --git a/_sources/auto_examples/plot_sample_weight.txt b/_sources/auto_examples/plot_sample_weight.txt
deleted file mode 100644
index 51ccdd3c..00000000
--- a/_sources/auto_examples/plot_sample_weight.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-
-
-.. _example_plot_sample_weight.py:
-
-
-======================
-SAGA: Weighted samples
-======================
-
-Plot decision function of a weighted dataset, where the size of points
-is proportional to its weight.
-
-Adapted from scikit-learn's plot_sgd_weighted_samples.py
-
-
-
-.. image:: images/plot_sample_weight_001.png
-    :align: center
-
-
-
-
-**Python source code:** :download:`plot_sample_weight.py `
-
-.. literalinclude:: plot_sample_weight.py
-    :lines: 11-
-
-**Total running time of the example:**  0.08 seconds
-( 0 minutes  0.08 seconds)
-    
\ No newline at end of file
diff --git a/_sources/auto_examples/plot_sgd_loss_functions.rst.txt b/_sources/auto_examples/plot_sgd_loss_functions.rst.txt
new file mode 100644
index 00000000..29b05b79
--- /dev/null
+++ b/_sources/auto_examples/plot_sgd_loss_functions.rst.txt
@@ -0,0 +1,132 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "auto_examples/plot_sgd_loss_functions.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        Click :ref:`here `
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_sgd_loss_functions.py:
+
+
+==========================
+SGD: Convex Loss Functions
+==========================
+
+.. GENERATED FROM PYTHON SOURCE LINES 7-16
+
+.. code-block:: default
+
+    print(__doc__)
+
+    import numpy as np
+    import pylab as pl
+    from lightning.impl.sgd import Hinge
+    from lightning.impl.sgd import SquaredHinge
+    from lightning.impl.sgd import Log
+    from lightning.impl.sgd import SquaredLoss
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 17-18
+
+Define loss funcitons
+
+.. GENERATED FROM PYTHON SOURCE LINES 18-24
+
+.. code-block:: default
+
+    xmin, xmax = -3, 3
+    hinge = Hinge(1)
+    squared_hinge = SquaredHinge()
+    log = Log()
+    squared_loss = SquaredLoss()
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 25-26
+
+Plot loss funcitons
+
+.. GENERATED FROM PYTHON SOURCE LINES 26-42
+
+.. code-block:: default
+
+    xx = np.linspace(xmin, xmax, 100)
+    pl.plot([xmin, 0, 0, xmax], [1, 1, 0, 0], 'k-',
+            label="Zero-one loss")
+    pl.plot(xx, [hinge.loss(x, 1) for x in xx], 'g-',
+            label="Hinge loss")
+    pl.plot(xx, [squared_hinge.loss(x, 1) for x in xx], 'b--',
+            label="Squared hinge loss", zorder=3)
+    pl.plot(xx, [log.loss(x, 1) for x in xx], 'r-',
+            label="Log loss")
+    pl.plot(xx, [2.0*squared_loss.loss(x, 1) for x in xx], 'c-',
+           label="Squared loss")
+    pl.ylim((0, 5))
+    pl.legend(loc="upper right")
+    pl.xlabel(r"$y \cdot f(x)$")
+    pl.ylabel("$L(y, f(x))$")
+    pl.show()
+
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_sgd_loss_functions_001.png
+    :alt: plot sgd loss functions
+    :class: sphx-glr-single-img
+
+
+
+
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  0.271 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_sgd_loss_functions.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-python
+
+     :download:`Download Python source code: plot_sgd_loss_functions.py `
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+     :download:`Download Jupyter notebook: plot_sgd_loss_functions.ipynb `
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery `_
diff --git a/_sources/auto_examples/plot_sgd_loss_functions.txt b/_sources/auto_examples/plot_sgd_loss_functions.txt
deleted file mode 100644
index 6976a09b..00000000
--- a/_sources/auto_examples/plot_sgd_loss_functions.txt
+++ /dev/null
@@ -1,26 +0,0 @@
-
-
-.. _example_plot_sgd_loss_functions.py:
-
-
-==========================
-SGD: Convex Loss Functions
-==========================
-
-
-
-
-.. image:: images/plot_sgd_loss_functions_001.png
-    :align: center
-
-
-
-
-**Python source code:** :download:`plot_sgd_loss_functions.py `
-
-.. literalinclude:: plot_sgd_loss_functions.py
-    :lines: 7-
-
-**Total running time of the example:**  0.05 seconds
-( 0 minutes  0.05 seconds)
-    
\ No newline at end of file
diff --git a/_sources/auto_examples/plot_sparse_non_linear.rst.txt b/_sources/auto_examples/plot_sparse_non_linear.rst.txt
new file mode 100644
index 00000000..b7f24416
--- /dev/null
+++ b/_sources/auto_examples/plot_sparse_non_linear.rst.txt
@@ -0,0 +1,187 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "auto_examples/plot_sparse_non_linear.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        Click :ref:`here `
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_sparse_non_linear.py:
+
+
+================================
+Sparse non-linear classification
+================================
+
+This examples demonstrates how to use `CDClassifier` with L1 penalty to do
+sparse non-linear classification. The trick simply consists in fitting the
+classifier with a kernel matrix (e.g., using an RBF kernel).
+
+There are a few interesting differences with standard kernel SVMs:
+
+1. the kernel matrix does not need to be positive semi-definite (hence the
+expression "kernel matrix" above is an abuse of terminology)
+
+2. the number of "support vectors" will be typically smaller thanks to L1
+regularization and can be adjusted by the regularization parameter C (the
+smaller C, the fewer the support vectors)
+
+3. the "support vectors" need not be located at the margin
+
+.. GENERATED FROM PYTHON SOURCE LINES 21-111
+
+
+
+.. rst-class:: sphx-glr-horizontal
+
+
+    *
+
+      .. image:: /auto_examples/images/sphx_glr_plot_sparse_non_linear_001.png
+          :alt: Sparse
+          :class: sphx-glr-multi-img
+
+    *
+
+      .. image:: /auto_examples/images/sphx_glr_plot_sparse_non_linear_002.png
+          :alt: Kernel SVM
+          :class: sphx-glr-multi-img
+
+
+
+
+
+.. code-block:: default
+
+
+    import numpy as np
+    import pylab as pl
+
+    from sklearn.metrics.pairwise import rbf_kernel
+
+    from lightning.classification import CDClassifier
+    from lightning.classification import KernelSVC
+
+    np.random.seed(0)
+
+    class SparseNonlinearClassifier(CDClassifier):
+
+        def __init__(self, gamma=1e-2, C=1, alpha=1):
+            self.gamma = gamma
+            super().__init__(C=C,
+                             alpha=alpha,
+                             loss="squared_hinge",
+                             penalty="l1")
+
+        def fit(self, X, y):
+            K = rbf_kernel(X, gamma=self.gamma)
+            self.X_train_ = X
+            super().fit(K, y)
+            return self
+
+        def decision_function(self, X):
+            K = rbf_kernel(X, self.X_train_, gamma=self.gamma)
+            return super().decision_function(K)
+
+
+    def gen_non_lin_separable_data():
+        mean1 = [-1, 2]
+        mean2 = [1, -1]
+        mean3 = [4, -4]
+        mean4 = [-4, 4]
+        cov = [[1.0,0.8], [0.8, 1.0]]
+        X1 = np.random.multivariate_normal(mean1, cov, 50)
+        X1 = np.vstack((X1, np.random.multivariate_normal(mean3, cov, 50)))
+        y1 = np.ones(len(X1))
+        X2 = np.random.multivariate_normal(mean2, cov, 50)
+        X2 = np.vstack((X2, np.random.multivariate_normal(mean4, cov, 50)))
+        y2 = np.ones(len(X2)) * -1
+        return X1, y1, X2, y2
+
+    def plot_contour(X, X1, X2, clf, title):
+        pl.figure()
+        pl.title(title)
+
+        # Plot instances of class 1.
+        pl.plot(X1[:,0], X1[:,1], "ro")
+        # Plot instances of class 2.
+        pl.plot(X2[:,0], X2[:,1], "bo")
+
+        # Select "support vectors".
+        if hasattr(clf, "support_vectors_"):
+            sv = clf.support_vectors_
+        else:
+            sv = X[clf.coef_.ravel() != 0]
+
+        # Plot support vectors.
+        pl.scatter(sv[:, 0], sv[:, 1], s=100, c="g")
+
+        # Plot decision surface.
+        A, B = np.meshgrid(np.linspace(-6,6,50), np.linspace(-6,6,50))
+        C = np.array([[x1, x2] for x1, x2 in zip(np.ravel(A), np.ravel(B))])
+        Z = clf.decision_function(C).reshape(A.shape)
+        pl.contour(A, B, Z, [0.0], colors='k', linewidths=1, origin='lower')
+
+        pl.axis("tight")
+
+    # Generate synthetic data from 2 classes.
+    X1, y1, X2, y2 = gen_non_lin_separable_data()
+
+    # Combine them to form a training set.
+    X = np.vstack((X1, X2))
+    y = np.hstack((y1, y2))
+
+    # Train the classifiers.
+    clf = SparseNonlinearClassifier(gamma=0.1, alpha=1./0.05)
+    clf.fit(X, y)
+
+    clf2 = KernelSVC(gamma=0.1, kernel="rbf", alpha=1e-2)
+    clf2.fit(X, y)
+
+    # Plot contours.
+    plot_contour(X, X1, X2, clf, "Sparse")
+    plot_contour(X, X1, X2, clf2, "Kernel SVM")
+
+    pl.show()
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  0.273 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_sparse_non_linear.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-python
+
+     :download:`Download Python source code: plot_sparse_non_linear.py `
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+     :download:`Download Jupyter notebook: plot_sparse_non_linear.ipynb `
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery `_
diff --git a/_sources/auto_examples/plot_sparse_non_linear.txt b/_sources/auto_examples/plot_sparse_non_linear.txt
deleted file mode 100644
index 4e69714c..00000000
--- a/_sources/auto_examples/plot_sparse_non_linear.txt
+++ /dev/null
@@ -1,50 +0,0 @@
-
-
-.. _example_plot_sparse_non_linear.py:
-
-
-================================
-Sparse non-linear classification
-================================
-
-This examples demonstrates how to use `CDClassifier` with L1 penalty to do
-sparse non-linear classification. The trick simply consists in fitting the
-classifier with a kernel matrix (e.g., using an RBF kernel).
-
-There are a few interesting differences with standard kernel SVMs:
-
-1. the kernel matrix does not need to be positive semi-definite (hence the
-expression "kernel matrix" above is an abuse of terminology)
-
-2. the number of "support vectors" will be typically smaller thanks to L1
-regularization and can be adjusted by the regularization parameter C (the
-smaller C, the fewer the support vectors)
-
-3. the "support vectors" need not be located at the margin
-
-
-
-.. rst-class:: horizontal
-
-
-    *
-
-      .. image:: images/plot_sparse_non_linear_001.png
-            :scale: 47
-
-    *
-
-      .. image:: images/plot_sparse_non_linear_002.png
-            :scale: 47
-
-
-
-
-**Python source code:** :download:`plot_sparse_non_linear.py `
-
-.. literalinclude:: plot_sparse_non_linear.py
-    :lines: 21-
-
-**Total running time of the example:**  0.12 seconds
-( 0 minutes  0.12 seconds)
-    
\ No newline at end of file
diff --git a/_sources/auto_examples/plot_svrg.rst.txt b/_sources/auto_examples/plot_svrg.rst.txt
new file mode 100644
index 00000000..75c04d5e
--- /dev/null
+++ b/_sources/auto_examples/plot_svrg.rst.txt
@@ -0,0 +1,193 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "auto_examples/plot_svrg.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        Click :ref:`here `
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_svrg.py:
+
+
+=======================================
+Sensitivity to hyper-parameters in SVRG
+=======================================
+
+This example shows the sensitivity of SVRG with respect
+to different hyperparameters.
+
+.. GENERATED FROM PYTHON SOURCE LINES 9-98
+
+
+
+.. rst-class:: sphx-glr-horizontal
+
+
+    *
+
+      .. image:: /auto_examples/images/sphx_glr_plot_svrg_001.png
+          :alt: plot svrg
+          :class: sphx-glr-multi-img
+
+    *
+
+      .. image:: /auto_examples/images/sphx_glr_plot_svrg_002.png
+          :alt: plot svrg
+          :class: sphx-glr-multi-img
+
+
+.. rst-class:: sphx-glr-script-out
+
+ Out:
+
+ .. code-block:: none
+
+
+    eta = 0.001
+    eta = 0.0001
+    eta = 1e-05
+    n_inner = 0.25
+    n_inner = 0.5
+    n_inner = 1.0
+    n_inner = 1.5
+
+
+
+
+
+
+|
+
+.. code-block:: default
+
+    print(__doc__)
+
+    import sys
+    import time
+
+    import numpy as np
+    import matplotlib.pyplot as plt
+
+    from sklearn.datasets import make_classification
+    from sklearn.datasets import fetch_20newsgroups_vectorized
+
+    from lightning.classification import SVRGClassifier
+
+
+    class Callback(object):
+
+        def __init__(self, X, y):
+            self.X = X
+            self.y = y
+            self.obj = []
+            self.times = []
+            self.start_time = time.time()
+            self.test_time = 0
+
+        def __call__(self, clf):
+            test_time = time.time()
+            clf._finalize_coef()
+            y_pred = clf.decision_function(self.X).ravel()
+            loss = (np.maximum(1 - self.y * y_pred, 0) ** 2).mean()
+            coef = clf.coef_.ravel()
+            regul = 0.5 * clf.alpha * np.dot(coef, coef)
+            self.obj.append(loss + regul)
+            self.test_time += time.time() - test_time
+            self.times.append(time.time() -  self.start_time - self.test_time)
+
+    try:
+        dataset = sys.argv[1]
+    except:
+        dataset = "synthetic"
+
+    if dataset == "news20":
+        bunch = fetch_20newsgroups_vectorized(subset="all")
+        X = bunch.data
+        y = bunch.target
+        y[y >= 1] = 1
+
+        etas = (0.5, 1e-1, 1e-2)
+        n_inners = (1.0, 2.0, 3.0)
+    else:
+        X, y = make_classification(n_samples=10000,
+                                   n_features=100,
+                                   n_classes=2,
+                                   random_state=0)
+        etas = (1e-3, 1e-4, 1e-5)
+        n_inners = (0.25, 0.5, 1.0, 1.5)
+
+    y = y * 2 - 1
+
+
+    plt.figure()
+
+    for eta in etas:
+        print("eta =", eta)
+        cb = Callback(X, y)
+        clf = SVRGClassifier(loss="squared_hinge", alpha=1e-5, eta=eta,
+                             n_inner=1.0, max_iter=20, random_state=0, callback=cb)
+        clf.fit(X, y)
+        plt.plot(cb.times, cb.obj, label="eta=" + str(eta))
+
+    plt.xlabel("CPU time")
+    plt.ylabel("Objective value")
+    plt.legend()
+
+    plt.figure()
+
+    for n_inner in n_inners:
+        print("n_inner =", n_inner)
+        cb = Callback(X, y)
+        clf = SVRGClassifier(loss="squared_hinge", alpha=1e-5, eta=1e-4,
+                             n_inner=n_inner, max_iter=20, random_state=0,
+                             callback=cb)
+        clf.fit(X, y)
+        plt.plot(cb.times, cb.obj, label="n_inner=" + str(n_inner))
+
+    plt.xlabel("CPU time")
+    plt.ylabel("Objective value")
+    plt.legend()
+
+    plt.show()
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  0.745 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_svrg.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-python
+
+     :download:`Download Python source code: plot_svrg.py `
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+     :download:`Download Jupyter notebook: plot_svrg.ipynb `
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery `_
diff --git a/_sources/auto_examples/plot_svrg.txt b/_sources/auto_examples/plot_svrg.txt
deleted file mode 100644
index 348db222..00000000
--- a/_sources/auto_examples/plot_svrg.txt
+++ /dev/null
@@ -1,48 +0,0 @@
-
-
-.. _example_plot_svrg.py:
-
-
-=======================================
-Sensitivity to hyper-parameters in SVRG
-=======================================
-
-This example shows the sensitivity of SVRG with respect
-to different hyperparameters.
-
-
-
-.. rst-class:: horizontal
-
-
-    *
-
-      .. image:: images/plot_svrg_001.png
-            :scale: 47
-
-    *
-
-      .. image:: images/plot_svrg_002.png
-            :scale: 47
-
-
-**Script output**::
-
-  eta = 0.001
-  eta = 0.0001
-  eta = 1e-05
-  n_inner = 0.25
-  n_inner = 0.5
-  n_inner = 1.0
-  n_inner = 1.5
-
-
-
-**Python source code:** :download:`plot_svrg.py `
-
-.. literalinclude:: plot_svrg.py
-    :lines: 9-
-
-**Total running time of the example:**  0.67 seconds
-( 0 minutes  0.67 seconds)
-    
\ No newline at end of file
diff --git a/_sources/auto_examples/sg_execution_times.rst.txt b/_sources/auto_examples/sg_execution_times.rst.txt
new file mode 100644
index 00000000..4115e120
--- /dev/null
+++ b/_sources/auto_examples/sg_execution_times.rst.txt
@@ -0,0 +1,28 @@
+
+:orphan:
+
+.. _sphx_glr_auto_examples_sg_execution_times:
+
+Computation times
+=================
+**00:07.850** total execution time for **auto_examples** files:
+
++---------------------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_auto_examples_plot_l2_solvers.py` (``plot_l2_solvers.py``)                               | 00:04.340 | 0.0 MB |
++---------------------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_auto_examples_plot_1d_total_variation.py` (``plot_1d_total_variation.py``)               | 00:01.845 | 0.0 MB |
++---------------------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_auto_examples_plot_svrg.py` (``plot_svrg.py``)                                           | 00:00.745 | 0.0 MB |
++---------------------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_auto_examples_plot_robust_regression.py` (``plot_robust_regression.py``)                 | 00:00.282 | 0.0 MB |
++---------------------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_auto_examples_plot_sparse_non_linear.py` (``plot_sparse_non_linear.py``)                 | 00:00.273 | 0.0 MB |
++---------------------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_auto_examples_plot_sgd_loss_functions.py` (``plot_sgd_loss_functions.py``)               | 00:00.271 | 0.0 MB |
++---------------------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_auto_examples_plot_sample_weight.py` (``plot_sample_weight.py``)                         | 00:00.095 | 0.0 MB |
++---------------------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_auto_examples_document_classification_news20.py` (``document_classification_news20.py``) | 00:00.000 | 0.0 MB |
++---------------------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_auto_examples_trace.py` (``trace.py``)                                                   | 00:00.000 | 0.0 MB |
++---------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/_sources/auto_examples/trace.rst.txt b/_sources/auto_examples/trace.rst.txt
new file mode 100644
index 00000000..e766a30e
--- /dev/null
+++ b/_sources/auto_examples/trace.rst.txt
@@ -0,0 +1,99 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "auto_examples/trace.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        Click :ref:`here `
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_trace.py:
+
+
+===========
+Trace norm
+===========
+
+.. GENERATED FROM PYTHON SOURCE LINES 7-45
+
+.. code-block:: default
+
+    print(__doc__)
+    import numpy as np
+    from scipy.linalg import svd
+
+    from sklearn.datasets import fetch_20newsgroups_vectorized
+    from sklearn.feature_selection import SelectKBest, chi2
+
+    from lightning.classification import FistaClassifier
+
+    def rank(M, eps=1e-9):
+        U, s, V = svd(M, full_matrices=False)
+        return np.sum(s > eps)
+
+
+    bunch = fetch_20newsgroups_vectorized(subset="train")
+    X_train = bunch.data
+    y_train = bunch.target
+
+    # Reduces dimensionality to make the example faster
+    ch2 = SelectKBest(chi2, k=5000)
+    X_train = ch2.fit_transform(X_train, y_train)
+
+    bunch = fetch_20newsgroups_vectorized(subset="test")
+    X_test = bunch.data
+    y_test = bunch.target
+    X_test = ch2.transform(X_test)
+
+    clf = FistaClassifier(C=1.0 / X_train.shape[0],
+                          max_iter=200,
+                          penalty="trace",
+                          multiclass=True)
+
+    for alpha in (1e-3, 1e-2, 0.1, 0.2, 0.3):
+        print("alpha=", alpha)
+        clf.alpha = alpha
+        clf.fit(X_train, y_train)
+        print(clf.score(X_test, y_test))
+        print(rank(clf.coef_))
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  0.000 seconds)
+
+
+.. _sphx_glr_download_auto_examples_trace.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-python
+
+     :download:`Download Python source code: trace.py `
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+     :download:`Download Jupyter notebook: trace.ipynb `
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery `_
diff --git a/_sources/auto_examples/trace.txt b/_sources/auto_examples/trace.txt
deleted file mode 100644
index b2828e96..00000000
--- a/_sources/auto_examples/trace.txt
+++ /dev/null
@@ -1,16 +0,0 @@
-
-
-.. _example_trace.py:
-
-
-===========
-Trace norm
-===========
-
-
-
-**Python source code:** :download:`trace.py `
-
-.. literalinclude:: trace.py
-    :lines: 7-
-    
\ No newline at end of file
diff --git a/_sources/generated/lightning.classification.AdaGradClassifier.rst.txt b/_sources/generated/lightning.classification.AdaGradClassifier.rst.txt
new file mode 100644
index 00000000..123cb07f
--- /dev/null
+++ b/_sources/generated/lightning.classification.AdaGradClassifier.rst.txt
@@ -0,0 +1,6 @@
+lightning.classification.AdaGradClassifier
+==========================================
+
+.. currentmodule:: lightning.classification
+
+.. autoclass:: AdaGradClassifier
\ No newline at end of file
diff --git a/_sources/generated/lightning.classification.AdaGradClassifier.txt b/_sources/generated/lightning.classification.AdaGradClassifier.txt
deleted file mode 100644
index 14c31581..00000000
--- a/_sources/generated/lightning.classification.AdaGradClassifier.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.classification.AdaGradClassifier
-==========================================
-
-.. currentmodule:: lightning.classification
-
-.. autoclass:: AdaGradClassifier
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.classification.CDClassifier.rst.txt b/_sources/generated/lightning.classification.CDClassifier.rst.txt
new file mode 100644
index 00000000..08657448
--- /dev/null
+++ b/_sources/generated/lightning.classification.CDClassifier.rst.txt
@@ -0,0 +1,6 @@
+lightning.classification.CDClassifier
+=====================================
+
+.. currentmodule:: lightning.classification
+
+.. autoclass:: CDClassifier
\ No newline at end of file
diff --git a/_sources/generated/lightning.classification.CDClassifier.txt b/_sources/generated/lightning.classification.CDClassifier.txt
deleted file mode 100644
index 0e3514ca..00000000
--- a/_sources/generated/lightning.classification.CDClassifier.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.classification.CDClassifier
-=====================================
-
-.. currentmodule:: lightning.classification
-
-.. autoclass:: CDClassifier
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.classification.FistaClassifier.rst.txt b/_sources/generated/lightning.classification.FistaClassifier.rst.txt
new file mode 100644
index 00000000..f7a943ea
--- /dev/null
+++ b/_sources/generated/lightning.classification.FistaClassifier.rst.txt
@@ -0,0 +1,6 @@
+lightning.classification.FistaClassifier
+========================================
+
+.. currentmodule:: lightning.classification
+
+.. autoclass:: FistaClassifier
\ No newline at end of file
diff --git a/_sources/generated/lightning.classification.FistaClassifier.txt b/_sources/generated/lightning.classification.FistaClassifier.txt
deleted file mode 100644
index 9a747561..00000000
--- a/_sources/generated/lightning.classification.FistaClassifier.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.classification.FistaClassifier
-========================================
-
-.. currentmodule:: lightning.classification
-
-.. autoclass:: FistaClassifier
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.classification.KernelSVC.rst.txt b/_sources/generated/lightning.classification.KernelSVC.rst.txt
new file mode 100644
index 00000000..740e0cbc
--- /dev/null
+++ b/_sources/generated/lightning.classification.KernelSVC.rst.txt
@@ -0,0 +1,6 @@
+lightning.classification.KernelSVC
+==================================
+
+.. currentmodule:: lightning.classification
+
+.. autoclass:: KernelSVC
\ No newline at end of file
diff --git a/_sources/generated/lightning.classification.KernelSVC.txt b/_sources/generated/lightning.classification.KernelSVC.txt
deleted file mode 100644
index 6ea00dd8..00000000
--- a/_sources/generated/lightning.classification.KernelSVC.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.classification.KernelSVC
-==================================
-
-.. currentmodule:: lightning.classification
-
-.. autoclass:: KernelSVC
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.classification.LinearSVC.rst.txt b/_sources/generated/lightning.classification.LinearSVC.rst.txt
new file mode 100644
index 00000000..9d800002
--- /dev/null
+++ b/_sources/generated/lightning.classification.LinearSVC.rst.txt
@@ -0,0 +1,6 @@
+lightning.classification.LinearSVC
+==================================
+
+.. currentmodule:: lightning.classification
+
+.. autoclass:: LinearSVC
\ No newline at end of file
diff --git a/_sources/generated/lightning.classification.LinearSVC.txt b/_sources/generated/lightning.classification.LinearSVC.txt
deleted file mode 100644
index 13e941b0..00000000
--- a/_sources/generated/lightning.classification.LinearSVC.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.classification.LinearSVC
-==================================
-
-.. currentmodule:: lightning.classification
-
-.. autoclass:: LinearSVC
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.classification.SAGAClassifier.rst.txt b/_sources/generated/lightning.classification.SAGAClassifier.rst.txt
new file mode 100644
index 00000000..57845c9c
--- /dev/null
+++ b/_sources/generated/lightning.classification.SAGAClassifier.rst.txt
@@ -0,0 +1,6 @@
+lightning.classification.SAGAClassifier
+=======================================
+
+.. currentmodule:: lightning.classification
+
+.. autoclass:: SAGAClassifier
\ No newline at end of file
diff --git a/_sources/generated/lightning.classification.SAGAClassifier.txt b/_sources/generated/lightning.classification.SAGAClassifier.txt
deleted file mode 100644
index b33a682a..00000000
--- a/_sources/generated/lightning.classification.SAGAClassifier.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.classification.SAGAClassifier
-=======================================
-
-.. currentmodule:: lightning.classification
-
-.. autoclass:: SAGAClassifier
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.classification.SAGClassifier.rst.txt b/_sources/generated/lightning.classification.SAGClassifier.rst.txt
new file mode 100644
index 00000000..b2150e79
--- /dev/null
+++ b/_sources/generated/lightning.classification.SAGClassifier.rst.txt
@@ -0,0 +1,6 @@
+lightning.classification.SAGClassifier
+======================================
+
+.. currentmodule:: lightning.classification
+
+.. autoclass:: SAGClassifier
\ No newline at end of file
diff --git a/_sources/generated/lightning.classification.SAGClassifier.txt b/_sources/generated/lightning.classification.SAGClassifier.txt
deleted file mode 100644
index 1e2aeb93..00000000
--- a/_sources/generated/lightning.classification.SAGClassifier.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.classification.SAGClassifier
-======================================
-
-.. currentmodule:: lightning.classification
-
-.. autoclass:: SAGClassifier
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.classification.SDCAClassifier.rst.txt b/_sources/generated/lightning.classification.SDCAClassifier.rst.txt
new file mode 100644
index 00000000..a348fec6
--- /dev/null
+++ b/_sources/generated/lightning.classification.SDCAClassifier.rst.txt
@@ -0,0 +1,6 @@
+lightning.classification.SDCAClassifier
+=======================================
+
+.. currentmodule:: lightning.classification
+
+.. autoclass:: SDCAClassifier
\ No newline at end of file
diff --git a/_sources/generated/lightning.classification.SDCAClassifier.txt b/_sources/generated/lightning.classification.SDCAClassifier.txt
deleted file mode 100644
index bc0b89a4..00000000
--- a/_sources/generated/lightning.classification.SDCAClassifier.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.classification.SDCAClassifier
-=======================================
-
-.. currentmodule:: lightning.classification
-
-.. autoclass:: SDCAClassifier
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.classification.SGDClassifier.rst.txt b/_sources/generated/lightning.classification.SGDClassifier.rst.txt
new file mode 100644
index 00000000..9f0b5cc4
--- /dev/null
+++ b/_sources/generated/lightning.classification.SGDClassifier.rst.txt
@@ -0,0 +1,6 @@
+lightning.classification.SGDClassifier
+======================================
+
+.. currentmodule:: lightning.classification
+
+.. autoclass:: SGDClassifier
\ No newline at end of file
diff --git a/_sources/generated/lightning.classification.SGDClassifier.txt b/_sources/generated/lightning.classification.SGDClassifier.txt
deleted file mode 100644
index 23adc9b6..00000000
--- a/_sources/generated/lightning.classification.SGDClassifier.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.classification.SGDClassifier
-======================================
-
-.. currentmodule:: lightning.classification
-
-.. autoclass:: SGDClassifier
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.classification.SVRGClassifier.rst.txt b/_sources/generated/lightning.classification.SVRGClassifier.rst.txt
new file mode 100644
index 00000000..3f1846cd
--- /dev/null
+++ b/_sources/generated/lightning.classification.SVRGClassifier.rst.txt
@@ -0,0 +1,6 @@
+lightning.classification.SVRGClassifier
+=======================================
+
+.. currentmodule:: lightning.classification
+
+.. autoclass:: SVRGClassifier
\ No newline at end of file
diff --git a/_sources/generated/lightning.classification.SVRGClassifier.txt b/_sources/generated/lightning.classification.SVRGClassifier.txt
deleted file mode 100644
index 8bf15ba1..00000000
--- a/_sources/generated/lightning.classification.SVRGClassifier.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.classification.SVRGClassifier
-=======================================
-
-.. currentmodule:: lightning.classification
-
-.. autoclass:: SVRGClassifier
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.ranking.KernelPRank.rst.txt b/_sources/generated/lightning.ranking.KernelPRank.rst.txt
new file mode 100644
index 00000000..75f95796
--- /dev/null
+++ b/_sources/generated/lightning.ranking.KernelPRank.rst.txt
@@ -0,0 +1,6 @@
+lightning.ranking.KernelPRank
+=============================
+
+.. currentmodule:: lightning.ranking
+
+.. autoclass:: KernelPRank
\ No newline at end of file
diff --git a/_sources/generated/lightning.ranking.KernelPRank.txt b/_sources/generated/lightning.ranking.KernelPRank.txt
deleted file mode 100644
index 112d33fd..00000000
--- a/_sources/generated/lightning.ranking.KernelPRank.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.ranking.KernelPRank
-=============================
-
-.. currentmodule:: lightning.ranking
-
-.. autoclass:: KernelPRank
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.ranking.PRank.rst.txt b/_sources/generated/lightning.ranking.PRank.rst.txt
new file mode 100644
index 00000000..f2fcc6a3
--- /dev/null
+++ b/_sources/generated/lightning.ranking.PRank.rst.txt
@@ -0,0 +1,6 @@
+lightning.ranking.PRank
+=======================
+
+.. currentmodule:: lightning.ranking
+
+.. autoclass:: PRank
\ No newline at end of file
diff --git a/_sources/generated/lightning.ranking.PRank.txt b/_sources/generated/lightning.ranking.PRank.txt
deleted file mode 100644
index f7e973f5..00000000
--- a/_sources/generated/lightning.ranking.PRank.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.ranking.PRank
-=======================
-
-.. currentmodule:: lightning.ranking
-
-.. autoclass:: PRank
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.regression.AdaGradRegressor.rst.txt b/_sources/generated/lightning.regression.AdaGradRegressor.rst.txt
new file mode 100644
index 00000000..f9e35453
--- /dev/null
+++ b/_sources/generated/lightning.regression.AdaGradRegressor.rst.txt
@@ -0,0 +1,6 @@
+lightning.regression.AdaGradRegressor
+=====================================
+
+.. currentmodule:: lightning.regression
+
+.. autoclass:: AdaGradRegressor
\ No newline at end of file
diff --git a/_sources/generated/lightning.regression.AdaGradRegressor.txt b/_sources/generated/lightning.regression.AdaGradRegressor.txt
deleted file mode 100644
index 35b8beff..00000000
--- a/_sources/generated/lightning.regression.AdaGradRegressor.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.regression.AdaGradRegressor
-=====================================
-
-.. currentmodule:: lightning.regression
-
-.. autoclass:: AdaGradRegressor
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.regression.CDRegressor.rst.txt b/_sources/generated/lightning.regression.CDRegressor.rst.txt
new file mode 100644
index 00000000..8219f7fa
--- /dev/null
+++ b/_sources/generated/lightning.regression.CDRegressor.rst.txt
@@ -0,0 +1,6 @@
+lightning.regression.CDRegressor
+================================
+
+.. currentmodule:: lightning.regression
+
+.. autoclass:: CDRegressor
\ No newline at end of file
diff --git a/_sources/generated/lightning.regression.CDRegressor.txt b/_sources/generated/lightning.regression.CDRegressor.txt
deleted file mode 100644
index 6a26d9f6..00000000
--- a/_sources/generated/lightning.regression.CDRegressor.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.regression.CDRegressor
-================================
-
-.. currentmodule:: lightning.regression
-
-.. autoclass:: CDRegressor
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.regression.FistaRegressor.rst.txt b/_sources/generated/lightning.regression.FistaRegressor.rst.txt
new file mode 100644
index 00000000..eb6deca8
--- /dev/null
+++ b/_sources/generated/lightning.regression.FistaRegressor.rst.txt
@@ -0,0 +1,6 @@
+lightning.regression.FistaRegressor
+===================================
+
+.. currentmodule:: lightning.regression
+
+.. autoclass:: FistaRegressor
\ No newline at end of file
diff --git a/_sources/generated/lightning.regression.FistaRegressor.txt b/_sources/generated/lightning.regression.FistaRegressor.txt
deleted file mode 100644
index 1e36f5be..00000000
--- a/_sources/generated/lightning.regression.FistaRegressor.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.regression.FistaRegressor
-===================================
-
-.. currentmodule:: lightning.regression
-
-.. autoclass:: FistaRegressor
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.regression.LinearSVR.rst.txt b/_sources/generated/lightning.regression.LinearSVR.rst.txt
new file mode 100644
index 00000000..f72f075d
--- /dev/null
+++ b/_sources/generated/lightning.regression.LinearSVR.rst.txt
@@ -0,0 +1,6 @@
+lightning.regression.LinearSVR
+==============================
+
+.. currentmodule:: lightning.regression
+
+.. autoclass:: LinearSVR
\ No newline at end of file
diff --git a/_sources/generated/lightning.regression.LinearSVR.txt b/_sources/generated/lightning.regression.LinearSVR.txt
deleted file mode 100644
index 14134a38..00000000
--- a/_sources/generated/lightning.regression.LinearSVR.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.regression.LinearSVR
-==============================
-
-.. currentmodule:: lightning.regression
-
-.. autoclass:: LinearSVR
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.regression.SAGARegressor.rst.txt b/_sources/generated/lightning.regression.SAGARegressor.rst.txt
new file mode 100644
index 00000000..11524a60
--- /dev/null
+++ b/_sources/generated/lightning.regression.SAGARegressor.rst.txt
@@ -0,0 +1,6 @@
+lightning.regression.SAGARegressor
+==================================
+
+.. currentmodule:: lightning.regression
+
+.. autoclass:: SAGARegressor
\ No newline at end of file
diff --git a/_sources/generated/lightning.regression.SAGARegressor.txt b/_sources/generated/lightning.regression.SAGARegressor.txt
deleted file mode 100644
index 43111840..00000000
--- a/_sources/generated/lightning.regression.SAGARegressor.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.regression.SAGARegressor
-==================================
-
-.. currentmodule:: lightning.regression
-
-.. autoclass:: SAGARegressor
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.regression.SAGRegressor.rst.txt b/_sources/generated/lightning.regression.SAGRegressor.rst.txt
new file mode 100644
index 00000000..49ef0b23
--- /dev/null
+++ b/_sources/generated/lightning.regression.SAGRegressor.rst.txt
@@ -0,0 +1,6 @@
+lightning.regression.SAGRegressor
+=================================
+
+.. currentmodule:: lightning.regression
+
+.. autoclass:: SAGRegressor
\ No newline at end of file
diff --git a/_sources/generated/lightning.regression.SAGRegressor.txt b/_sources/generated/lightning.regression.SAGRegressor.txt
deleted file mode 100644
index c5c2c41c..00000000
--- a/_sources/generated/lightning.regression.SAGRegressor.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.regression.SAGRegressor
-=================================
-
-.. currentmodule:: lightning.regression
-
-.. autoclass:: SAGRegressor
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.regression.SDCARegressor.rst.txt b/_sources/generated/lightning.regression.SDCARegressor.rst.txt
new file mode 100644
index 00000000..ec047bcb
--- /dev/null
+++ b/_sources/generated/lightning.regression.SDCARegressor.rst.txt
@@ -0,0 +1,6 @@
+lightning.regression.SDCARegressor
+==================================
+
+.. currentmodule:: lightning.regression
+
+.. autoclass:: SDCARegressor
\ No newline at end of file
diff --git a/_sources/generated/lightning.regression.SDCARegressor.txt b/_sources/generated/lightning.regression.SDCARegressor.txt
deleted file mode 100644
index dafca1b4..00000000
--- a/_sources/generated/lightning.regression.SDCARegressor.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.regression.SDCARegressor
-==================================
-
-.. currentmodule:: lightning.regression
-
-.. autoclass:: SDCARegressor
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.regression.SGDRegressor.rst.txt b/_sources/generated/lightning.regression.SGDRegressor.rst.txt
new file mode 100644
index 00000000..5996141d
--- /dev/null
+++ b/_sources/generated/lightning.regression.SGDRegressor.rst.txt
@@ -0,0 +1,6 @@
+lightning.regression.SGDRegressor
+=================================
+
+.. currentmodule:: lightning.regression
+
+.. autoclass:: SGDRegressor
\ No newline at end of file
diff --git a/_sources/generated/lightning.regression.SGDRegressor.txt b/_sources/generated/lightning.regression.SGDRegressor.txt
deleted file mode 100644
index a666a1ce..00000000
--- a/_sources/generated/lightning.regression.SGDRegressor.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.regression.SGDRegressor
-=================================
-
-.. currentmodule:: lightning.regression
-
-.. autoclass:: SGDRegressor
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/generated/lightning.regression.SVRGRegressor.rst.txt b/_sources/generated/lightning.regression.SVRGRegressor.rst.txt
new file mode 100644
index 00000000..84792d20
--- /dev/null
+++ b/_sources/generated/lightning.regression.SVRGRegressor.rst.txt
@@ -0,0 +1,6 @@
+lightning.regression.SVRGRegressor
+==================================
+
+.. currentmodule:: lightning.regression
+
+.. autoclass:: SVRGRegressor
\ No newline at end of file
diff --git a/_sources/generated/lightning.regression.SVRGRegressor.txt b/_sources/generated/lightning.regression.SVRGRegressor.txt
deleted file mode 100644
index af884d10..00000000
--- a/_sources/generated/lightning.regression.SVRGRegressor.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-lightning.regression.SVRGRegressor
-==================================
-
-.. currentmodule:: lightning.regression
-
-.. autoclass:: SVRGRegressor
-
-   
-   .. automethod:: __init__
-   
-
diff --git a/_sources/index.txt b/_sources/index.rst.txt
similarity index 100%
rename from _sources/index.txt
rename to _sources/index.rst.txt
diff --git a/_sources/intro.txt b/_sources/intro.rst.txt
similarity index 92%
rename from _sources/intro.txt
rename to _sources/intro.rst.txt
index 64feacdd..bb028c88 100644
--- a/_sources/intro.txt
+++ b/_sources/intro.rst.txt
@@ -1,5 +1,5 @@
 Introduction
-=============
+============
 
 .. currentmodule:: lightning
 
@@ -18,11 +18,11 @@ Primal coordinate descent
 - Main idea: update a single coordinate at a time (closed-form update when possible, coordinate-wise gradient descent otherwise)
 - Non-smooth losses: No
 - Penalties: L2, L1, L1/L2
-- Learning rate: no
+- Learning rate: No
 - Multiclass: one-vs-rest, multiclass logistic, multiclass squared hinge
 
 Dual coordinate ascent
------------------------
+----------------------
 
 :class:`classification.LinearSVC`, :class:`regression.LinearSVR` (L2-regularization, supports shrinking)
 
@@ -31,7 +31,7 @@ Dual coordinate ascent
 - Main idea: update a single dual coordinate at a time (closed-form solution available for many loss functions)
 - Non-smooth losses: Yes
 - Penalties: L2, Elastic-net
-- Learning rate: no
+- Learning rate: No
 - Multiclass: one-vs-rest
 
 FISTA
@@ -42,7 +42,7 @@ FISTA
 - Main idea: accelerated proximal gradient method (uses full gradients)
 - Non-smooth losses: No
 - Penalties: L1, L1/L2, Trace/Nuclear
-- Learning rate: no
+- Learning rate: No
 - Multiclass: one-vs-rest, multiclass logistic, multiclass squared hinge
 
 Stochastic gradient method (SGD)
@@ -53,7 +53,7 @@ Stochastic gradient method (SGD)
 - Main idea: replace full gradient with stochastic estimate obtained from a single sample
 - Non-smooth losses: Yes
 - Penalties: L2, L1, L1/L2
-- Learning rate: yes (very sensitive)
+- Learning rate: Yes (very sensitive)
 - Multiclass: one-vs-rest, multiclass logistic, multiclass squared hinge
 
 AdaGrad
@@ -64,20 +64,18 @@ AdaGrad
 - Main idea: use per-feature learning rates (frequently occurring features in the gradients get small learning rates and infrequent features get higher ones)
 - Non-smooth losses: Yes
 - Penalties: L2, Elastic-net
-- Learning rate: yes (not very sensitive)
+- Learning rate: Yes (not very sensitive)
 - Multiclass: one-vs-rest
 
-
 Stochastic averaged gradient (SAG and SAGA)
 -------------------------------------------
 
-
 :class:`classification.classification.SAGClassifier`, :class:`classification.SAGAClassifier`, :class:`regression.SAGRegressor`, :class:`regression.SAGARegressor`
 
 - Main idea: instead of using the full gradient (average of sample-wise gradients), compute gradient for a randomly selected sample and use out-dated gradients for other samples
 - Non-smooth losses: Yes (:class:`classification.SAGAClassifier` and :class:`regression.SAGARegressor`)
 - Penalties: L1, L2, Elastic-net
-- Learning rate: yes (not very sensitive)
+- Learning rate: Yes (not very sensitive)
 - Multiclass: one-vs-rest
 
 Stochastic variance-reduced gradient (SVRG)
@@ -88,17 +86,17 @@ Stochastic variance-reduced gradient (SVRG)
 - Main idea: compute full gradient periodically and use it to center the gradient estimate (this can be shown to reduce the variance)
 - Non-smooth losses: No
 - Penalties: L2
-- Learning rate: yes (not very sensitive)
+- Learning rate: Yes (not very sensitive)
 - Multiclass: one-vs-rest
 
 PRank
-------
+-----
 
 :class:`ranking.PRank`, :class:`ranking.KernelPRank`
 
 - Main idea: Perceptron-like algorithm for ordinal regression
 - Penalties: L2
-- Learning rate: no
+- Learning rate: No
 
 
 .. toctree::
diff --git a/_sources/references.txt b/_sources/references.rst.txt
similarity index 100%
rename from _sources/references.txt
rename to _sources/references.rst.txt
diff --git a/_static/ajax-loader.gif b/_static/ajax-loader.gif
deleted file mode 100644
index 61faf8ca..00000000
Binary files a/_static/ajax-loader.gif and /dev/null differ
diff --git a/_static/basic.css b/_static/basic.css
index c89fc7e9..aa9df316 100644
--- a/_static/basic.css
+++ b/_static/basic.css
@@ -4,7 +4,7 @@
  *
  * Sphinx stylesheet -- basic theme.
  *
- * :copyright: Copyright 2007-2016 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -15,6 +15,12 @@ div.clearer {
     clear: both;
 }
 
+div.section::after {
+    display: block;
+    content: '';
+    clear: left;
+}
+
 /* -- relbar ---------------------------------------------------------------- */
 
 div.related {
@@ -52,6 +58,8 @@ div.sphinxsidebar {
     width: 230px;
     margin-left: -100%;
     font-size: 90%;
+    word-wrap: break-word;
+    overflow-wrap : break-word;
 }
 
 div.sphinxsidebar ul {
@@ -79,14 +87,26 @@ div.sphinxsidebar input {
     font-size: 1em;
 }
 
+div.sphinxsidebar #searchbox form.search {
+    overflow: hidden;
+}
+
 div.sphinxsidebar #searchbox input[type="text"] {
-    width: 170px;
+    float: left;
+    width: 80%;
+    padding: 0.25em;
+    box-sizing: border-box;
 }
 
 div.sphinxsidebar #searchbox input[type="submit"] {
-    width: 30px;
+    float: left;
+    width: 20%;
+    border-left: none;
+    padding: 0.25em;
+    box-sizing: border-box;
 }
 
+
 img {
     border: 0;
     max-width: 100%;
@@ -110,7 +130,7 @@ ul.search li a {
     font-weight: bold;
 }
 
-ul.search li div.context {
+ul.search li p.context {
     color: #888;
     margin: 2px 0 0 30px;
     text-align: left;
@@ -124,6 +144,8 @@ ul.keywordmatches li.goodmatch a {
 
 table.contentstable {
     width: 90%;
+    margin-left: auto;
+    margin-right: auto;
 }
 
 table.contentstable p.biglink {
@@ -151,9 +173,14 @@ table.indextable td {
     vertical-align: top;
 }
 
-table.indextable dl, table.indextable dd {
+table.indextable ul {
     margin-top: 0;
     margin-bottom: 0;
+    list-style-type: none;
+}
+
+table.indextable > tbody > tr > td > ul {
+    padding-left: 0em;
 }
 
 table.indextable tr.pcap {
@@ -185,12 +212,41 @@ div.genindex-jumpbox {
     padding: 0.4em;
 }
 
+/* -- domain module index --------------------------------------------------- */
+
+table.modindextable td {
+    padding: 2px;
+    border-collapse: collapse;
+}
+
 /* -- general body styles --------------------------------------------------- */
 
+div.body {
+    min-width: 450px;
+    max-width: 800px;
+}
+
+div.body p, div.body dd, div.body li, div.body blockquote {
+    -moz-hyphens: auto;
+    -ms-hyphens: auto;
+    -webkit-hyphens: auto;
+    hyphens: auto;
+}
+
 a.headerlink {
     visibility: hidden;
 }
 
+a.brackets:before,
+span.brackets > a:before{
+    content: "[";
+}
+
+a.brackets:after,
+span.brackets > a:after {
+    content: "]";
+}
+
 h1:hover > a.headerlink,
 h2:hover > a.headerlink,
 h3:hover > a.headerlink,
@@ -212,10 +268,6 @@ div.body td {
     text-align: left;
 }
 
-.field-list ul {
-    padding-left: 1em;
-}
-
 .first {
     margin-top: 0 !important;
 }
@@ -225,19 +277,25 @@ p.rubric {
     font-weight: bold;
 }
 
-img.align-left, .figure.align-left, object.align-left {
+img.align-left, figure.align-left, .figure.align-left, object.align-left {
     clear: left;
     float: left;
     margin-right: 1em;
 }
 
-img.align-right, .figure.align-right, object.align-right {
+img.align-right, figure.align-right, .figure.align-right, object.align-right {
     clear: right;
     float: right;
     margin-left: 1em;
 }
 
-img.align-center, .figure.align-center, object.align-center {
+img.align-center, figure.align-center, .figure.align-center, object.align-center {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+img.align-default, figure.align-default, .figure.align-default {
   display: block;
   margin-left: auto;
   margin-right: auto;
@@ -251,30 +309,41 @@ img.align-center, .figure.align-center, object.align-center {
     text-align: center;
 }
 
+.align-default {
+    text-align: center;
+}
+
 .align-right {
     text-align: right;
 }
 
 /* -- sidebars -------------------------------------------------------------- */
 
-div.sidebar {
+div.sidebar,
+aside.sidebar {
     margin: 0 0 0.5em 1em;
     border: 1px solid #ddb;
-    padding: 7px 7px 0 7px;
+    padding: 7px;
     background-color: #ffe;
     width: 40%;
     float: right;
+    clear: right;
+    overflow-x: auto;
 }
 
 p.sidebar-title {
     font-weight: bold;
 }
 
+div.admonition, div.topic, blockquote {
+    clear: left;
+}
+
 /* -- topics ---------------------------------------------------------------- */
 
 div.topic {
     border: 1px solid #ccc;
-    padding: 7px 7px 0 7px;
+    padding: 7px;
     margin: 10px 0 10px 0;
 }
 
@@ -296,10 +365,6 @@ div.admonition dt {
     font-weight: bold;
 }
 
-div.admonition dl {
-    margin-bottom: 0;
-}
-
 p.admonition-title {
     margin: 0px 10px 5px 0px;
     font-weight: bold;
@@ -310,13 +375,44 @@ div.body p.centered {
     margin-top: 25px;
 }
 
+/* -- content of sidebars/topics/admonitions -------------------------------- */
+
+div.sidebar > :last-child,
+aside.sidebar > :last-child,
+div.topic > :last-child,
+div.admonition > :last-child {
+    margin-bottom: 0;
+}
+
+div.sidebar::after,
+aside.sidebar::after,
+div.topic::after,
+div.admonition::after,
+blockquote::after {
+    display: block;
+    content: '';
+    clear: both;
+}
+
 /* -- tables ---------------------------------------------------------------- */
 
 table.docutils {
+    margin-top: 10px;
+    margin-bottom: 10px;
     border: 0;
     border-collapse: collapse;
 }
 
+table.align-center {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.align-default {
+    margin-left: auto;
+    margin-right: auto;
+}
+
 table caption span.caption-number {
     font-style: italic;
 }
@@ -332,10 +428,6 @@ table.docutils td, table.docutils th {
     border-bottom: 1px solid #aaa;
 }
 
-table.field-list td, table.field-list th {
-    border: 0 !important;
-}
-
 table.footnote td, table.footnote th {
     border: 0 !important;
 }
@@ -354,22 +446,123 @@ table.citation td {
     border-bottom: none;
 }
 
+th > :first-child,
+td > :first-child {
+    margin-top: 0px;
+}
+
+th > :last-child,
+td > :last-child {
+    margin-bottom: 0px;
+}
+
 /* -- figures --------------------------------------------------------------- */
 
-div.figure {
+div.figure, figure {
     margin: 0.5em;
     padding: 0.5em;
 }
 
-div.figure p.caption {
+div.figure p.caption, figcaption {
     padding: 0.3em;
 }
 
-div.figure p.caption span.caption-number {
+div.figure p.caption span.caption-number,
+figcaption span.caption-number {
     font-style: italic;
 }
 
-div.figure p.caption span.caption-text {
+div.figure p.caption span.caption-text,
+figcaption span.caption-text {
+}
+
+/* -- field list styles ----------------------------------------------------- */
+
+table.field-list td, table.field-list th {
+    border: 0 !important;
+}
+
+.field-list ul {
+    margin: 0;
+    padding-left: 1em;
+}
+
+.field-list p {
+    margin: 0;
+}
+
+.field-name {
+    -moz-hyphens: manual;
+    -ms-hyphens: manual;
+    -webkit-hyphens: manual;
+    hyphens: manual;
+}
+
+/* -- hlist styles ---------------------------------------------------------- */
+
+table.hlist {
+    margin: 1em 0;
+}
+
+table.hlist td {
+    vertical-align: top;
+}
+
+/* -- object description styles --------------------------------------------- */
+
+.sig {
+	font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace;
+}
+
+.sig-name, code.descname {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+.sig-name {
+	font-size: 1.1em;
+}
+
+code.descname {
+    font-size: 1.2em;
+}
+
+.sig-prename, code.descclassname {
+    background-color: transparent;
+}
+
+.optional {
+    font-size: 1.3em;
+}
+
+.sig-paren {
+    font-size: larger;
+}
+
+.sig-param.n {
+	font-style: italic;
+}
+
+/* C++ specific styling */
+
+.sig-inline.c-texpr,
+.sig-inline.cpp-texpr {
+	font-family: unset;
+}
+
+.sig.c   .k, .sig.c   .kt,
+.sig.cpp .k, .sig.cpp .kt {
+	color: #0033B3;
+}
+
+.sig.c   .m,
+.sig.cpp .m {
+	color: #1750EB;
+}
+
+.sig.c   .s, .sig.c   .sc,
+.sig.cpp .s, .sig.cpp .sc {
+	color: #067D17;
 }
 
 
@@ -395,11 +588,78 @@ ol.upperroman {
     list-style: upper-roman;
 }
 
+:not(li) > ol > li:first-child > :first-child,
+:not(li) > ul > li:first-child > :first-child {
+    margin-top: 0px;
+}
+
+:not(li) > ol > li:last-child > :last-child,
+:not(li) > ul > li:last-child > :last-child {
+    margin-bottom: 0px;
+}
+
+ol.simple ol p,
+ol.simple ul p,
+ul.simple ol p,
+ul.simple ul p {
+    margin-top: 0;
+}
+
+ol.simple > li:not(:first-child) > p,
+ul.simple > li:not(:first-child) > p {
+    margin-top: 0;
+}
+
+ol.simple p,
+ul.simple p {
+    margin-bottom: 0;
+}
+
+dl.footnote > dt,
+dl.citation > dt {
+    float: left;
+    margin-right: 0.5em;
+}
+
+dl.footnote > dd,
+dl.citation > dd {
+    margin-bottom: 0em;
+}
+
+dl.footnote > dd:after,
+dl.citation > dd:after {
+    content: "";
+    clear: both;
+}
+
+dl.field-list {
+    display: grid;
+    grid-template-columns: fit-content(30%) auto;
+}
+
+dl.field-list > dt {
+    font-weight: bold;
+    word-break: break-word;
+    padding-left: 0.5em;
+    padding-right: 5px;
+}
+
+dl.field-list > dt:after {
+    content: ":";
+}
+
+dl.field-list > dd {
+    padding-left: 0.5em;
+    margin-top: 0em;
+    margin-left: 0em;
+    margin-bottom: 0em;
+}
+
 dl {
     margin-bottom: 15px;
 }
 
-dd p {
+dd > :first-child {
     margin-top: 0px;
 }
 
@@ -413,30 +673,22 @@ dd {
     margin-left: 30px;
 }
 
-dt:target, .highlighted {
-    background-color: #fbe54e;
-}
-
-dl.glossary dt {
-    font-weight: bold;
-    font-size: 1.1em;
-}
-
-.field-list ul {
-    margin: 0;
-    padding-left: 1em;
+dl > dd:last-child,
+dl > dd:last-child > :last-child {
+    margin-bottom: 0;
 }
 
-.field-list p {
-    margin: 0;
+dt:target, span.highlighted {
+    background-color: #fbe54e;
 }
 
-.optional {
-    font-size: 1.3em;
+rect.highlighted {
+    fill: #fbe54e;
 }
 
-.sig-paren {
-    font-size: larger;
+dl.glossary dt {
+    font-weight: bold;
+    font-size: 1.1em;
 }
 
 .versionmodified {
@@ -477,6 +729,12 @@ dl.glossary dt {
     font-style: oblique;
 }
 
+.classifier:before {
+    font-style: normal;
+    margin: 0.5em;
+    content: ":";
+}
+
 abbr, acronym {
     border-bottom: dotted 1px;
     cursor: help;
@@ -489,22 +747,68 @@ pre {
     overflow-y: hidden;  /* fixes display issues on Chrome browsers */
 }
 
+pre, div[class*="highlight-"] {
+    clear: both;
+}
+
+span.pre {
+    -moz-hyphens: none;
+    -ms-hyphens: none;
+    -webkit-hyphens: none;
+    hyphens: none;
+}
+
+div[class*="highlight-"] {
+    margin: 1em 0;
+}
+
 td.linenos pre {
-    padding: 5px 0px;
     border: 0;
     background-color: transparent;
     color: #aaa;
 }
 
 table.highlighttable {
-    margin-left: 0.5em;
+    display: block;
+}
+
+table.highlighttable tbody {
+    display: block;
+}
+
+table.highlighttable tr {
+    display: flex;
 }
 
 table.highlighttable td {
-    padding: 0 0.5em 0 0.5em;
+    margin: 0;
+    padding: 0;
+}
+
+table.highlighttable td.linenos {
+    padding-right: 0.5em;
+}
+
+table.highlighttable td.code {
+    flex: 1;
+    overflow: hidden;
+}
+
+.highlight .hll {
+    display: block;
+}
+
+div.highlight pre,
+table.highlighttable pre {
+    margin: 0;
+}
+
+div.code-block-caption + div {
+    margin-top: 0;
 }
 
 div.code-block-caption {
+    margin-top: 1em;
     padding: 2px 5px;
     font-size: small;
 }
@@ -513,8 +817,14 @@ div.code-block-caption code {
     background-color: transparent;
 }
 
-div.code-block-caption + div > div.highlight > pre {
-    margin-top: 0;
+table.highlighttable td.linenos,
+span.linenos,
+div.doctest > div.highlight span.gp {  /* gp: Generic.Prompt */
+  user-select: none;
+  -webkit-user-select: text; /* Safari fallback only */
+  -webkit-user-select: none; /* Chrome/Safari */
+  -moz-user-select: none; /* Firefox */
+  -ms-user-select: none; /* IE10+ */
 }
 
 div.code-block-caption span.caption-number {
@@ -526,21 +836,7 @@ div.code-block-caption span.caption-text {
 }
 
 div.literal-block-wrapper {
-    padding: 1em 1em 0;
-}
-
-div.literal-block-wrapper div.highlight {
-    margin: 0;
-}
-
-code.descname {
-    background-color: transparent;
-    font-weight: bold;
-    font-size: 1.2em;
-}
-
-code.descclassname {
-    background-color: transparent;
+    margin: 1em 0;
 }
 
 code.xref, a code {
@@ -580,6 +876,15 @@ span.eqno {
     float: right;
 }
 
+span.eqno a.headerlink {
+    position: absolute;
+    z-index: 1;
+}
+
+div.math:hover a.headerlink {
+    visibility: visible;
+}
+
 /* -- printout stylesheet --------------------------------------------------- */
 
 @media print {
diff --git a/_static/binder_badge_logo.svg b/_static/binder_badge_logo.svg
new file mode 100644
index 00000000..327f6b63
--- /dev/null
+++ b/_static/binder_badge_logo.svg
@@ -0,0 +1 @@
+ launchlaunchbinderbinder 
\ No newline at end of file
diff --git a/_static/bootstrap-3.3.4/css/bootstrap-theme.css.map b/_static/bootstrap-3.3.4/css/bootstrap-theme.css.map
deleted file mode 100644
index 5a12d631..00000000
--- a/_static/bootstrap-3.3.4/css/bootstrap-theme.css.map
+++ /dev/null
@@ -1 +0,0 @@
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@end-color: darken(@btn-color, 12%));\n  .reset-filter(); // Disable gradients for IE9 because filter bleeds through rounded corners; see https://github.com/twbs/bootstrap/issues/10620\n  background-repeat: repeat-x;\n  border-color: darken(@btn-color, 14%);\n\n  &:hover,\n  &:focus  {\n    background-color: darken(@btn-color, 12%);\n    background-position: 0 -15px;\n  }\n\n  &:active,\n  &.active {\n    background-color: darken(@btn-color, 12%);\n    border-color: darken(@btn-color, 14%);\n  }\n\n  &.disabled,\n  &:disabled,\n  &[disabled] {\n    background-color: darken(@btn-color, 12%);\n    background-image: none;\n  }\n}\n\n// Common styles\n.btn {\n  // Remove the gradient for the pressed/active state\n  &:active,\n  &.active {\n    background-image: none;\n  }\n}\n\n// Apply the mixin to the buttons\n.btn-default { .btn-styles(@btn-default-bg); text-shadow: 0 1px 0 #fff; border-color: #ccc; }\n.btn-primary { .btn-styles(@btn-primary-bg); }\n.btn-success { .btn-styles(@btn-success-bg); }\n.btn-info    { .btn-styles(@btn-info-bg); }\n.btn-warning { .btn-styles(@btn-warning-bg); }\n.btn-danger  { .btn-styles(@btn-danger-bg); }\n\n\n//\n// Images\n// --------------------------------------------------\n\n.thumbnail,\n.img-thumbnail {\n  .box-shadow(0 1px 2px rgba(0,0,0,.075));\n}\n\n\n//\n// Dropdowns\n// --------------------------------------------------\n\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n  #gradient > .vertical(@start-color: @dropdown-link-hover-bg; @end-color: darken(@dropdown-link-hover-bg, 5%));\n  background-color: darken(@dropdown-link-hover-bg, 5%);\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n  #gradient > .vertical(@start-color: @dropdown-link-active-bg; @end-color: darken(@dropdown-link-active-bg, 5%));\n  background-color: darken(@dropdown-link-active-bg, 5%);\n}\n\n\n//\n// Navbar\n// --------------------------------------------------\n\n// Default navbar\n.navbar-default {\n  #gradient > .vertical(@start-color: lighten(@navbar-default-bg, 10%); @end-color: @navbar-default-bg);\n  .reset-filter(); // Remove gradient in IE<10 to fix bug where dropdowns don't get triggered\n  border-radius: @navbar-border-radius;\n  @shadow: inset 0 1px 0 rgba(255,255,255,.15), 0 1px 5px rgba(0,0,0,.075);\n  .box-shadow(@shadow);\n\n  .navbar-nav > .open > a,\n  .navbar-nav > .active > a {\n    #gradient > .vertical(@start-color: darken(@navbar-default-link-active-bg, 5%); @end-color: darken(@navbar-default-link-active-bg, 2%));\n    .box-shadow(inset 0 3px 9px rgba(0,0,0,.075));\n  }\n}\n.navbar-brand,\n.navbar-nav > li > a {\n  text-shadow: 0 1px 0 rgba(255,255,255,.25);\n}\n\n// Inverted navbar\n.navbar-inverse {\n  #gradient > .vertical(@start-color: lighten(@navbar-inverse-bg, 10%); @end-color: @navbar-inverse-bg);\n  .reset-filter(); // Remove gradient in IE<10 to fix bug where dropdowns don't get triggered; see https://github.com/twbs/bootstrap/issues/10257\n\n  .navbar-nav > .open > a,\n  .navbar-nav > .active > a {\n    #gradient > .vertical(@start-color: @navbar-inverse-link-active-bg; @end-color: lighten(@navbar-inverse-link-active-bg, 2.5%));\n    .box-shadow(inset 0 3px 9px rgba(0,0,0,.25));\n  }\n\n  .navbar-brand,\n  .navbar-nav > li > a {\n    text-shadow: 0 -1px 0 rgba(0,0,0,.25);\n  }\n}\n\n// Undo rounded corners in static and fixed navbars\n.navbar-static-top,\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n  border-radius: 0;\n}\n\n// Fix active state of dropdown items in collapsed mode\n@media (max-width: @grid-float-breakpoint-max) {\n  .navbar .navbar-nav .open .dropdown-menu > .active > a {\n    &,\n    &:hover,\n    &:focus {\n      color: #fff;\n      #gradient > .vertical(@start-color: @dropdown-link-active-bg; @end-color: darken(@dropdown-link-active-bg, 5%));\n    }\n  }\n}\n\n\n//\n// Alerts\n// --------------------------------------------------\n\n// Common styles\n.alert {\n  text-shadow: 0 1px 0 rgba(255,255,255,.2);\n  @shadow: inset 0 1px 0 rgba(255,255,255,.25), 0 1px 2px rgba(0,0,0,.05);\n  .box-shadow(@shadow);\n}\n\n// Mixin for generating new styles\n.alert-styles(@color) {\n  #gradient > .vertical(@start-color: @color; @end-color: darken(@color, 7.5%));\n  border-color: darken(@color, 15%);\n}\n\n// Apply the mixin to the alerts\n.alert-success    { .alert-styles(@alert-success-bg); }\n.alert-info       { .alert-styles(@alert-info-bg); }\n.alert-warning    { .alert-styles(@alert-warning-bg); }\n.alert-danger     { .alert-styles(@alert-danger-bg); }\n\n\n//\n// Progress bars\n// --------------------------------------------------\n\n// Give the progress background some depth\n.progress {\n  #gradient > .vertical(@start-color: darken(@progress-bg, 4%); @end-color: @progress-bg)\n}\n\n// Mixin for generating new styles\n.progress-bar-styles(@color) {\n  #gradient > .vertical(@start-color: @color; @end-color: darken(@color, 10%));\n}\n\n// Apply the mixin to the progress bars\n.progress-bar            { .progress-bar-styles(@progress-bar-bg); }\n.progress-bar-success    { .progress-bar-styles(@progress-bar-success-bg); }\n.progress-bar-info       { .progress-bar-styles(@progress-bar-info-bg); }\n.progress-bar-warning    { .progress-bar-styles(@progress-bar-warning-bg); }\n.progress-bar-danger     { .progress-bar-styles(@progress-bar-danger-bg); }\n\n// Reset the striped class because our mixins don't do multiple gradients and\n// the above custom styles override the new `.progress-bar-striped` in v3.2.0.\n.progress-bar-striped {\n  #gradient > .striped();\n}\n\n\n//\n// List groups\n// --------------------------------------------------\n\n.list-group {\n  border-radius: @border-radius-base;\n  .box-shadow(0 1px 2px rgba(0,0,0,.075));\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n  text-shadow: 0 -1px 0 darken(@list-group-active-bg, 10%);\n  #gradient > .vertical(@start-color: @list-group-active-bg; @end-color: darken(@list-group-active-bg, 7.5%));\n  border-color: darken(@list-group-active-border, 7.5%);\n\n  .badge {\n    text-shadow: none;\n  }\n}\n\n\n//\n// Panels\n// --------------------------------------------------\n\n// Common styles\n.panel {\n  .box-shadow(0 1px 2px rgba(0,0,0,.05));\n}\n\n// Mixin for generating new styles\n.panel-heading-styles(@color) {\n  #gradient > .vertical(@start-color: @color; @end-color: darken(@color, 5%));\n}\n\n// Apply the mixin to the panel headings only\n.panel-default > .panel-heading   { .panel-heading-styles(@panel-default-heading-bg); }\n.panel-primary > .panel-heading   { .panel-heading-styles(@panel-primary-heading-bg); }\n.panel-success > .panel-heading   { .panel-heading-styles(@panel-success-heading-bg); }\n.panel-info > .panel-heading      { .panel-heading-styles(@panel-info-heading-bg); }\n.panel-warning > .panel-heading   { .panel-heading-styles(@panel-warning-heading-bg); }\n.panel-danger > .panel-heading    { .panel-heading-styles(@panel-danger-heading-bg); }\n\n\n//\n// Wells\n// --------------------------------------------------\n\n.well {\n  #gradient > .vertical(@start-color: darken(@well-bg, 5%); @end-color: @well-bg);\n  border-color: darken(@well-bg, 10%);\n  @shadow: inset 0 1px 3px rgba(0,0,0,.05), 0 1px 0 rgba(255,255,255,.1);\n  .box-shadow(@shadow);\n}\n","// Vendor Prefixes\n//\n// All vendor mixins are deprecated as of v3.2.0 due to the introduction of\n// Autoprefixer in our Gruntfile. They will be removed in v4.\n\n// - Animations\n// - Backface visibility\n// - Box shadow\n// - Box sizing\n// - Content columns\n// - Hyphens\n// - Placeholder text\n// - Transformations\n// - Transitions\n// - User Select\n\n\n// Animations\n.animation(@animation) {\n  -webkit-animation: @animation;\n       -o-animation: @animation;\n          animation: @animation;\n}\n.animation-name(@name) {\n  -webkit-animation-name: @name;\n          animation-name: @name;\n}\n.animation-duration(@duration) {\n  -webkit-animation-duration: @duration;\n          animation-duration: @duration;\n}\n.animation-timing-function(@timing-function) {\n  -webkit-animation-timing-function: @timing-function;\n          animation-timing-function: @timing-function;\n}\n.animation-delay(@delay) {\n  -webkit-animation-delay: @delay;\n          animation-delay: @delay;\n}\n.animation-iteration-count(@iteration-count) {\n  -webkit-animation-iteration-count: @iteration-count;\n          animation-iteration-count: @iteration-count;\n}\n.animation-direction(@direction) {\n  -webkit-animation-direction: @direction;\n          animation-direction: @direction;\n}\n.animation-fill-mode(@fill-mode) {\n  -webkit-animation-fill-mode: @fill-mode;\n          animation-fill-mode: @fill-mode;\n}\n\n// Backface visibility\n// Prevent browsers from flickering when using CSS 3D transforms.\n// Default value is `visible`, but can be changed to `hidden`\n\n.backface-visibility(@visibility){\n  -webkit-backface-visibility: @visibility;\n     -moz-backface-visibility: @visibility;\n          backface-visibility: @visibility;\n}\n\n// Drop shadows\n//\n// Note: Deprecated `.box-shadow()` as of v3.1.0 since all of Bootstrap's\n// supported browsers that have box shadow capabilities now support it.\n\n.box-shadow(@shadow) {\n  -webkit-box-shadow: @shadow; // iOS <4.3 & Android <4.1\n          box-shadow: @shadow;\n}\n\n// Box sizing\n.box-sizing(@boxmodel) {\n  -webkit-box-sizing: @boxmodel;\n     -moz-box-sizing: @boxmodel;\n          box-sizing: @boxmodel;\n}\n\n// CSS3 Content Columns\n.content-columns(@column-count; @column-gap: @grid-gutter-width) {\n  -webkit-column-count: @column-count;\n     -moz-column-count: @column-count;\n          column-count: @column-count;\n  -webkit-column-gap: @column-gap;\n     -moz-column-gap: @column-gap;\n          column-gap: @column-gap;\n}\n\n// Optional hyphenation\n.hyphens(@mode: auto) {\n  word-wrap: break-word;\n  -webkit-hyphens: @mode;\n     -moz-hyphens: @mode;\n      -ms-hyphens: @mode; // IE10+\n       -o-hyphens: @mode;\n          hyphens: @mode;\n}\n\n// Placeholder text\n.placeholder(@color: @input-color-placeholder) {\n  // Firefox\n  &::-moz-placeholder {\n    color: @color;\n    opacity: 1; // Override Firefox's unusual default opacity; see https://github.com/twbs/bootstrap/pull/11526\n  }\n  &:-ms-input-placeholder { color: @color; } // Internet Explorer 10+\n  &::-webkit-input-placeholder  { color: @color; } // Safari and Chrome\n}\n\n// Transformations\n.scale(@ratio) {\n  -webkit-transform: scale(@ratio);\n      -ms-transform: scale(@ratio); // IE9 only\n       -o-transform: scale(@ratio);\n          transform: scale(@ratio);\n}\n.scale(@ratioX; @ratioY) {\n  -webkit-transform: scale(@ratioX, @ratioY);\n      -ms-transform: scale(@ratioX, @ratioY); // IE9 only\n       -o-transform: scale(@ratioX, @ratioY);\n          transform: scale(@ratioX, @ratioY);\n}\n.scaleX(@ratio) {\n  -webkit-transform: scaleX(@ratio);\n      -ms-transform: scaleX(@ratio); // IE9 only\n       -o-transform: scaleX(@ratio);\n          transform: scaleX(@ratio);\n}\n.scaleY(@ratio) {\n  -webkit-transform: scaleY(@ratio);\n      -ms-transform: scaleY(@ratio); // IE9 only\n       -o-transform: scaleY(@ratio);\n          transform: scaleY(@ratio);\n}\n.skew(@x; @y) {\n  -webkit-transform: skewX(@x) skewY(@y);\n      -ms-transform: skewX(@x) skewY(@y); // See https://github.com/twbs/bootstrap/issues/4885; IE9+\n       -o-transform: skewX(@x) skewY(@y);\n          transform: skewX(@x) skewY(@y);\n}\n.translate(@x; @y) {\n  -webkit-transform: translate(@x, @y);\n      -ms-transform: translate(@x, @y); // IE9 only\n       -o-transform: translate(@x, @y);\n          transform: translate(@x, @y);\n}\n.translate3d(@x; @y; @z) {\n  -webkit-transform: translate3d(@x, @y, @z);\n          transform: translate3d(@x, @y, @z);\n}\n.rotate(@degrees) {\n  -webkit-transform: rotate(@degrees);\n      -ms-transform: rotate(@degrees); // IE9 only\n       -o-transform: rotate(@degrees);\n          transform: rotate(@degrees);\n}\n.rotateX(@degrees) {\n  -webkit-transform: rotateX(@degrees);\n      -ms-transform: rotateX(@degrees); // IE9 only\n       -o-transform: rotateX(@degrees);\n          transform: rotateX(@degrees);\n}\n.rotateY(@degrees) {\n  -webkit-transform: rotateY(@degrees);\n      -ms-transform: rotateY(@degrees); // IE9 only\n       -o-transform: rotateY(@degrees);\n          transform: rotateY(@degrees);\n}\n.perspective(@perspective) {\n  -webkit-perspective: @perspective;\n     -moz-perspective: @perspective;\n          perspective: @perspective;\n}\n.perspective-origin(@perspective) {\n  -webkit-perspective-origin: @perspective;\n     -moz-perspective-origin: @perspective;\n          perspective-origin: @perspective;\n}\n.transform-origin(@origin) {\n  -webkit-transform-origin: @origin;\n     -moz-transform-origin: @origin;\n      -ms-transform-origin: @origin; // IE9 only\n          transform-origin: @origin;\n}\n\n\n// Transitions\n\n.transition(@transition) {\n  -webkit-transition: @transition;\n       -o-transition: @transition;\n          transition: @transition;\n}\n.transition-property(@transition-property) {\n  -webkit-transition-property: @transition-property;\n          transition-property: @transition-property;\n}\n.transition-delay(@transition-delay) {\n  -webkit-transition-delay: @transition-delay;\n          transition-delay: @transition-delay;\n}\n.transition-duration(@transition-duration) {\n  -webkit-transition-duration: @transition-duration;\n          transition-duration: @transition-duration;\n}\n.transition-timing-function(@timing-function) {\n  -webkit-transition-timing-function: @timing-function;\n          transition-timing-function: @timing-function;\n}\n.transition-transform(@transition) {\n  -webkit-transition: -webkit-transform @transition;\n     -moz-transition: -moz-transform @transition;\n       -o-transition: -o-transform @transition;\n          transition: transform @transition;\n}\n\n\n// User select\n// For selecting text on the page\n\n.user-select(@select) {\n  -webkit-user-select: @select;\n     -moz-user-select: @select;\n      -ms-user-select: @select; // IE10+\n          user-select: @select;\n}\n",".btn-default,\n.btn-primary,\n.btn-success,\n.btn-info,\n.btn-warning,\n.btn-danger {\n  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.2);\n  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.btn-default:active,\n.btn-primary:active,\n.btn-success:active,\n.btn-info:active,\n.btn-warning:active,\n.btn-danger:active,\n.btn-default.active,\n.btn-primary.active,\n.btn-success.active,\n.btn-info.active,\n.btn-warning.active,\n.btn-danger.active {\n  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n}\n.btn-default .badge,\n.btn-primary .badge,\n.btn-success .badge,\n.btn-info .badge,\n.btn-warning .badge,\n.btn-danger .badge {\n  text-shadow: none;\n}\n.btn:active,\n.btn.active {\n  background-image: none;\n}\n.btn-default {\n  background-image: -webkit-linear-gradient(top, #ffffff 0%, #e0e0e0 100%);\n  background-image: -o-linear-gradient(top, #ffffff 0%, #e0e0e0 100%);\n  background-image: linear-gradient(to bottom, #ffffff 0%, #e0e0e0 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#ffe0e0e0', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #dbdbdb;\n  text-shadow: 0 1px 0 #fff;\n  border-color: #ccc;\n}\n.btn-default:hover,\n.btn-default:focus {\n  background-color: #e0e0e0;\n  background-position: 0 -15px;\n}\n.btn-default:active,\n.btn-default.active {\n  background-color: #e0e0e0;\n  border-color: #dbdbdb;\n}\n.btn-default.disabled,\n.btn-default:disabled,\n.btn-default[disabled] {\n  background-color: #e0e0e0;\n  background-image: none;\n}\n.btn-primary {\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #265a88 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #265a88 100%);\n  background-image: linear-gradient(to bottom, #337ab7 0%, #265a88 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff265a88', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #245580;\n}\n.btn-primary:hover,\n.btn-primary:focus {\n  background-color: #265a88;\n  background-position: 0 -15px;\n}\n.btn-primary:active,\n.btn-primary.active {\n  background-color: #265a88;\n  border-color: #245580;\n}\n.btn-primary.disabled,\n.btn-primary:disabled,\n.btn-primary[disabled] {\n  background-color: #265a88;\n  background-image: none;\n}\n.btn-success {\n  background-image: -webkit-linear-gradient(top, #5cb85c 0%, #419641 100%);\n  background-image: -o-linear-gradient(top, #5cb85c 0%, #419641 100%);\n  background-image: linear-gradient(to bottom, #5cb85c 0%, #419641 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff419641', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #3e8f3e;\n}\n.btn-success:hover,\n.btn-success:focus {\n  background-color: #419641;\n  background-position: 0 -15px;\n}\n.btn-success:active,\n.btn-success.active {\n  background-color: #419641;\n  border-color: #3e8f3e;\n}\n.btn-success.disabled,\n.btn-success:disabled,\n.btn-success[disabled] {\n  background-color: #419641;\n  background-image: none;\n}\n.btn-info {\n  background-image: -webkit-linear-gradient(top, #5bc0de 0%, #2aabd2 100%);\n  background-image: -o-linear-gradient(top, #5bc0de 0%, #2aabd2 100%);\n  background-image: linear-gradient(to bottom, #5bc0de 0%, #2aabd2 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff2aabd2', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #28a4c9;\n}\n.btn-info:hover,\n.btn-info:focus {\n  background-color: #2aabd2;\n  background-position: 0 -15px;\n}\n.btn-info:active,\n.btn-info.active {\n  background-color: #2aabd2;\n  border-color: #28a4c9;\n}\n.btn-info.disabled,\n.btn-info:disabled,\n.btn-info[disabled] {\n  background-color: #2aabd2;\n  background-image: none;\n}\n.btn-warning {\n  background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #eb9316 100%);\n  background-image: -o-linear-gradient(top, #f0ad4e 0%, #eb9316 100%);\n  background-image: linear-gradient(to bottom, #f0ad4e 0%, #eb9316 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffeb9316', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #e38d13;\n}\n.btn-warning:hover,\n.btn-warning:focus {\n  background-color: #eb9316;\n  background-position: 0 -15px;\n}\n.btn-warning:active,\n.btn-warning.active {\n  background-color: #eb9316;\n  border-color: #e38d13;\n}\n.btn-warning.disabled,\n.btn-warning:disabled,\n.btn-warning[disabled] {\n  background-color: #eb9316;\n  background-image: none;\n}\n.btn-danger {\n  background-image: -webkit-linear-gradient(top, #d9534f 0%, #c12e2a 100%);\n  background-image: -o-linear-gradient(top, #d9534f 0%, #c12e2a 100%);\n  background-image: linear-gradient(to bottom, #d9534f 0%, #c12e2a 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc12e2a', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #b92c28;\n}\n.btn-danger:hover,\n.btn-danger:focus {\n  background-color: #c12e2a;\n  background-position: 0 -15px;\n}\n.btn-danger:active,\n.btn-danger.active {\n  background-color: #c12e2a;\n  border-color: #b92c28;\n}\n.btn-danger.disabled,\n.btn-danger:disabled,\n.btn-danger[disabled] {\n  background-color: #c12e2a;\n  background-image: none;\n}\n.thumbnail,\n.img-thumbnail {\n  -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n  box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n}\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n  background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n  background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n  background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);\n  background-color: #e8e8e8;\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n  background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n  background-color: #2e6da4;\n}\n.navbar-default {\n  background-image: -webkit-linear-gradient(top, #ffffff 0%, #f8f8f8 100%);\n  background-image: -o-linear-gradient(top, #ffffff 0%, #f8f8f8 100%);\n  background-image: linear-gradient(to bottom, #ffffff 0%, #f8f8f8 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff8f8f8', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  border-radius: 4px;\n  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075);\n}\n.navbar-default .navbar-nav > .open > a,\n.navbar-default .navbar-nav > .active > a {\n  background-image: -webkit-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);\n  background-image: -o-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);\n  background-image: linear-gradient(to bottom, #dbdbdb 0%, #e2e2e2 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdbdbdb', endColorstr='#ffe2e2e2', GradientType=0);\n  -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075);\n}\n.navbar-brand,\n.navbar-nav > li > a {\n  text-shadow: 0 1px 0 rgba(255, 255, 255, 0.25);\n}\n.navbar-inverse {\n  background-image: -webkit-linear-gradient(top, #3c3c3c 0%, #222222 100%);\n  background-image: -o-linear-gradient(top, #3c3c3c 0%, #222222 100%);\n  background-image: linear-gradient(to bottom, #3c3c3c 0%, #222222 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff3c3c3c', endColorstr='#ff222222', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n}\n.navbar-inverse .navbar-nav > .open > a,\n.navbar-inverse .navbar-nav > .active > a {\n  background-image: -webkit-linear-gradient(top, #080808 0%, #0f0f0f 100%);\n  background-image: -o-linear-gradient(top, #080808 0%, #0f0f0f 100%);\n  background-image: linear-gradient(to bottom, #080808 0%, #0f0f0f 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff080808', endColorstr='#ff0f0f0f', GradientType=0);\n  -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25);\n  box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25);\n}\n.navbar-inverse .navbar-brand,\n.navbar-inverse .navbar-nav > li > a {\n  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);\n}\n.navbar-static-top,\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n  border-radius: 0;\n}\n@media (max-width: 767px) {\n  .navbar .navbar-nav .open .dropdown-menu > .active > a,\n  .navbar .navbar-nav .open .dropdown-menu > .active > a:hover,\n  .navbar .navbar-nav .open .dropdown-menu > .active > a:focus {\n    color: #fff;\n    background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n    background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n    background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n    background-repeat: repeat-x;\n    filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n  }\n}\n.alert {\n  text-shadow: 0 1px 0 rgba(255, 255, 255, 0.2);\n  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05);\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05);\n}\n.alert-success {\n  background-image: -webkit-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);\n  background-image: -o-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);\n  background-image: linear-gradient(to bottom, #dff0d8 0%, #c8e5bc 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffc8e5bc', GradientType=0);\n  border-color: #b2dba1;\n}\n.alert-info {\n  background-image: -webkit-linear-gradient(top, #d9edf7 0%, #b9def0 100%);\n  background-image: -o-linear-gradient(top, #d9edf7 0%, #b9def0 100%);\n  background-image: linear-gradient(to bottom, #d9edf7 0%, #b9def0 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffb9def0', GradientType=0);\n  border-color: #9acfea;\n}\n.alert-warning {\n  background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);\n  background-image: -o-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);\n  background-image: linear-gradient(to bottom, #fcf8e3 0%, #f8efc0 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fff8efc0', GradientType=0);\n  border-color: #f5e79e;\n}\n.alert-danger {\n  background-image: -webkit-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);\n  background-image: -o-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);\n  background-image: linear-gradient(to bottom, #f2dede 0%, #e7c3c3 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffe7c3c3', GradientType=0);\n  border-color: #dca7a7;\n}\n.progress {\n  background-image: -webkit-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);\n  background-image: -o-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);\n  background-image: linear-gradient(to bottom, #ebebeb 0%, #f5f5f5 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffebebeb', endColorstr='#fff5f5f5', GradientType=0);\n}\n.progress-bar {\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #286090 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #286090 100%);\n  background-image: linear-gradient(to bottom, #337ab7 0%, #286090 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff286090', GradientType=0);\n}\n.progress-bar-success {\n  background-image: -webkit-linear-gradient(top, #5cb85c 0%, #449d44 100%);\n  background-image: -o-linear-gradient(top, #5cb85c 0%, #449d44 100%);\n  background-image: linear-gradient(to bottom, #5cb85c 0%, #449d44 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff449d44', GradientType=0);\n}\n.progress-bar-info {\n  background-image: -webkit-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);\n  background-image: -o-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);\n  background-image: linear-gradient(to bottom, #5bc0de 0%, #31b0d5 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff31b0d5', GradientType=0);\n}\n.progress-bar-warning {\n  background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);\n  background-image: -o-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);\n  background-image: linear-gradient(to bottom, #f0ad4e 0%, #ec971f 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffec971f', GradientType=0);\n}\n.progress-bar-danger {\n  background-image: -webkit-linear-gradient(top, #d9534f 0%, #c9302c 100%);\n  background-image: -o-linear-gradient(top, #d9534f 0%, #c9302c 100%);\n  background-image: linear-gradient(to bottom, #d9534f 0%, #c9302c 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc9302c', GradientType=0);\n}\n.progress-bar-striped {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.list-group {\n  border-radius: 4px;\n  -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n  box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n  text-shadow: 0 -1px 0 #286090;\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #2b669a 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #2b669a 100%);\n  background-image: linear-gradient(to bottom, #337ab7 0%, #2b669a 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2b669a', GradientType=0);\n  border-color: #2b669a;\n}\n.list-group-item.active .badge,\n.list-group-item.active:hover .badge,\n.list-group-item.active:focus .badge {\n  text-shadow: none;\n}\n.panel {\n  -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);\n  box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);\n}\n.panel-default > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n  background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n  background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);\n}\n.panel-primary > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n  background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n}\n.panel-success > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);\n  background-image: -o-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);\n  background-image: linear-gradient(to bottom, #dff0d8 0%, #d0e9c6 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffd0e9c6', GradientType=0);\n}\n.panel-info > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);\n  background-image: -o-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);\n  background-image: linear-gradient(to bottom, #d9edf7 0%, #c4e3f3 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffc4e3f3', GradientType=0);\n}\n.panel-warning > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);\n  background-image: -o-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);\n  background-image: linear-gradient(to bottom, #fcf8e3 0%, #faf2cc 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fffaf2cc', GradientType=0);\n}\n.panel-danger > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #f2dede 0%, #ebcccc 100%);\n  background-image: -o-linear-gradient(top, #f2dede 0%, #ebcccc 100%);\n  background-image: linear-gradient(to bottom, #f2dede 0%, #ebcccc 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffebcccc', GradientType=0);\n}\n.well {\n  background-image: -webkit-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);\n  background-image: -o-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);\n  background-image: linear-gradient(to bottom, #e8e8e8 0%, #f5f5f5 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffe8e8e8', endColorstr='#fff5f5f5', GradientType=0);\n  border-color: #dcdcdc;\n  -webkit-box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1);\n  box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1);\n}\n/*# sourceMappingURL=bootstrap-theme.css.map */","// Gradients\n\n#gradient {\n\n  // Horizontal gradient, from left to right\n  //\n  // Creates two color stops, start and end, by specifying a color and position for each color stop.\n  // Color stops are not available in IE9 and below.\n  .horizontal(@start-color: #555; @end-color: #333; @start-percent: 0%; @end-percent: 100%) {\n    background-image: -webkit-linear-gradient(left, @start-color @start-percent, @end-color @end-percent); // Safari 5.1-6, Chrome 10+\n    background-image: -o-linear-gradient(left, @start-color @start-percent, @end-color @end-percent); // Opera 12\n    background-image: linear-gradient(to right, @start-color @start-percent, @end-color @end-percent); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n    background-repeat: repeat-x;\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=1)\",argb(@start-color),argb(@end-color))); // IE9 and down\n  }\n\n  // Vertical gradient, from top to bottom\n  //\n  // Creates two color stops, start and end, by specifying a color and position for each color stop.\n  // Color stops are not available in IE9 and below.\n  .vertical(@start-color: #555; @end-color: #333; @start-percent: 0%; @end-percent: 100%) {\n    background-image: -webkit-linear-gradient(top, @start-color @start-percent, @end-color @end-percent);  // Safari 5.1-6, Chrome 10+\n    background-image: -o-linear-gradient(top, @start-color @start-percent, @end-color @end-percent);  // Opera 12\n    background-image: linear-gradient(to bottom, @start-color @start-percent, @end-color @end-percent); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n    background-repeat: repeat-x;\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=0)\",argb(@start-color),argb(@end-color))); // IE9 and down\n  }\n\n  .directional(@start-color: #555; @end-color: #333; @deg: 45deg) {\n    background-repeat: repeat-x;\n    background-image: -webkit-linear-gradient(@deg, @start-color, @end-color); // Safari 5.1-6, Chrome 10+\n    background-image: -o-linear-gradient(@deg, @start-color, @end-color); // Opera 12\n    background-image: linear-gradient(@deg, @start-color, @end-color); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n  }\n  .horizontal-three-colors(@start-color: #00b3ee; @mid-color: #7a43b6; @color-stop: 50%; @end-color: #c3325f) {\n    background-image: -webkit-linear-gradient(left, @start-color, @mid-color @color-stop, @end-color);\n    background-image: -o-linear-gradient(left, @start-color, @mid-color @color-stop, @end-color);\n    background-image: linear-gradient(to right, @start-color, @mid-color @color-stop, @end-color);\n    background-repeat: no-repeat;\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=1)\",argb(@start-color),argb(@end-color))); // IE9 and down, gets no color-stop at all for proper fallback\n  }\n  .vertical-three-colors(@start-color: #00b3ee; @mid-color: #7a43b6; @color-stop: 50%; @end-color: #c3325f) {\n    background-image: -webkit-linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n    background-image: -o-linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n    background-image: linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n    background-repeat: no-repeat;\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=0)\",argb(@start-color),argb(@end-color))); // IE9 and down, gets no color-stop at all for proper fallback\n  }\n  .radial(@inner-color: #555; @outer-color: #333) {\n    background-image: -webkit-radial-gradient(circle, @inner-color, @outer-color);\n    background-image: radial-gradient(circle, @inner-color, @outer-color);\n    background-repeat: no-repeat;\n  }\n  .striped(@color: rgba(255,255,255,.15); @angle: 45deg) {\n    background-image: -webkit-linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n    background-image: -o-linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n    background-image: linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n  }\n}\n","// Reset filters for IE\n//\n// When you need to remove a gradient background, do not forget to use this to reset\n// the IE filter for IE9 and below.\n\n.reset-filter() {\n  filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(enabled = false)\"));\n}\n"]}
\ No newline at end of file
diff --git a/_static/bootstrap-3.3.4/css/bootstrap-theme.min.css b/_static/bootstrap-3.3.4/css/bootstrap-theme.min.css
deleted file mode 100644
index cefa3d1a..00000000
--- a/_static/bootstrap-3.3.4/css/bootstrap-theme.min.css
+++ /dev/null
@@ -1,5 +0,0 @@
-/*!
- * Bootstrap v3.3.4 (http://getbootstrap.com)
- * Copyright 2011-2015 Twitter, Inc.
- * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
- */.btn-danger,.btn-default,.btn-info,.btn-primary,.btn-success,.btn-warning{text-shadow:0 -1px 0 rgba(0,0,0,.2);-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.15),0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 0 rgba(255,255,255,.15),0 1px 1px rgba(0,0,0,.075)}.btn-danger.active,.btn-danger:active,.btn-default.active,.btn-default:active,.btn-info.active,.btn-info:active,.btn-primary.active,.btn-primary:active,.btn-success.active,.btn-success:active,.btn-warning.active,.btn-warning:active{-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,.125);box-shadow:inset 0 3px 5px rgba(0,0,0,.125)}.btn-danger .badge,.btn-default .badge,.btn-info .badge,.btn-primary .badge,.btn-success .badge,.btn-warning .badge{text-shadow:none}.btn.active,.btn:active{background-image:none}.btn-default{text-shadow:0 1px 0 #fff;background-image:-webkit-linear-gradient(top,#fff 0,#e0e0e0 100%);background-image:-o-linear-gradient(top,#fff 0,#e0e0e0 100%);background-image:-webkit-gradient(linear,left top,left 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normalize.css v3.0.2 | MIT License | git.io/normalize */\nhtml {\n  font-family: sans-serif;\n  -ms-text-size-adjust: 100%;\n  -webkit-text-size-adjust: 100%;\n}\nbody {\n  margin: 0;\n}\narticle,\naside,\ndetails,\nfigcaption,\nfigure,\nfooter,\nheader,\nhgroup,\nmain,\nmenu,\nnav,\nsection,\nsummary {\n  display: block;\n}\naudio,\ncanvas,\nprogress,\nvideo {\n  display: inline-block;\n  vertical-align: baseline;\n}\naudio:not([controls]) {\n  display: none;\n  height: 0;\n}\n[hidden],\ntemplate {\n  display: none;\n}\na {\n  background-color: transparent;\n}\na:active,\na:hover {\n  outline: 0;\n}\nabbr[title] {\n  border-bottom: 1px dotted;\n}\nb,\nstrong {\n  font-weight: bold;\n}\ndfn {\n  font-style: italic;\n}\nh1 {\n  font-size: 2em;\n  margin: 0.67em 0;\n}\nmark {\n  background: #ff0;\n  color: #000;\n}\nsmall {\n  font-size: 80%;\n}\nsub,\nsup {\n  font-size: 75%;\n  line-height: 0;\n  position: relative;\n  vertical-align: baseline;\n}\nsup {\n  top: -0.5em;\n}\nsub {\n  bottom: -0.25em;\n}\nimg {\n  border: 0;\n}\nsvg:not(:root) {\n  overflow: hidden;\n}\nfigure {\n  margin: 1em 40px;\n}\nhr {\n  -moz-box-sizing: content-box;\n  box-sizing: content-box;\n  height: 0;\n}\npre {\n  overflow: auto;\n}\ncode,\nkbd,\npre,\nsamp {\n  font-family: monospace, monospace;\n  font-size: 1em;\n}\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n  color: inherit;\n  font: inherit;\n  margin: 0;\n}\nbutton {\n  overflow: visible;\n}\nbutton,\nselect {\n  text-transform: none;\n}\nbutton,\nhtml input[type=\"button\"],\ninput[type=\"reset\"],\ninput[type=\"submit\"] {\n  -webkit-appearance: button;\n  cursor: pointer;\n}\nbutton[disabled],\nhtml input[disabled] {\n  cursor: default;\n}\nbutton::-moz-focus-inner,\ninput::-moz-focus-inner {\n  border: 0;\n  padding: 0;\n}\ninput {\n  line-height: normal;\n}\ninput[type=\"checkbox\"],\ninput[type=\"radio\"] {\n  box-sizing: border-box;\n  padding: 0;\n}\ninput[type=\"number\"]::-webkit-inner-spin-button,\ninput[type=\"number\"]::-webkit-outer-spin-button {\n  height: auto;\n}\ninput[type=\"search\"] {\n  -webkit-appearance: textfield;\n  -moz-box-sizing: content-box;\n  -webkit-box-sizing: content-box;\n  box-sizing: content-box;\n}\ninput[type=\"search\"]::-webkit-search-cancel-button,\ninput[type=\"search\"]::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\nfieldset {\n  border: 1px solid #c0c0c0;\n  margin: 0 2px;\n  padding: 0.35em 0.625em 0.75em;\n}\nlegend {\n  border: 0;\n  padding: 0;\n}\ntextarea {\n  overflow: auto;\n}\noptgroup {\n  font-weight: bold;\n}\ntable {\n  border-collapse: collapse;\n  border-spacing: 0;\n}\ntd,\nth {\n  padding: 0;\n}\n/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */\n@media print {\n  *,\n  *:before,\n  *:after {\n    background: transparent !important;\n    color: #000 !important;\n    box-shadow: none !important;\n    text-shadow: none !important;\n  }\n  a,\n  a:visited {\n    text-decoration: underline;\n  }\n  a[href]:after {\n    content: \" (\" attr(href) \")\";\n  }\n  abbr[title]:after {\n    content: \" (\" attr(title) \")\";\n  }\n  a[href^=\"#\"]:after,\n  a[href^=\"javascript:\"]:after {\n    content: \"\";\n  }\n  pre,\n  blockquote {\n    border: 1px solid #999;\n    page-break-inside: avoid;\n  }\n  thead {\n    display: table-header-group;\n  }\n  tr,\n  img {\n    page-break-inside: avoid;\n  }\n  img {\n    max-width: 100% !important;\n  }\n  p,\n  h2,\n  h3 {\n    orphans: 3;\n    widows: 3;\n  }\n  h2,\n  h3 {\n    page-break-after: avoid;\n  }\n  select {\n    background: #fff !important;\n  }\n  .navbar {\n    display: none;\n  }\n  .btn > .caret,\n  .dropup > .btn > .caret {\n    border-top-color: #000 !important;\n  }\n  .label {\n    border: 1px solid #000;\n  }\n  .table {\n    border-collapse: collapse !important;\n  }\n  .table td,\n  .table th {\n    background-color: #fff !important;\n  }\n  .table-bordered th,\n  .table-bordered td {\n    border: 1px solid #ddd !important;\n  }\n}\n@font-face {\n  font-family: 'Glyphicons Halflings';\n  src: url('../fonts/glyphicons-halflings-regular.eot');\n  src: url('../fonts/glyphicons-halflings-regular.eot?#iefix') format('embedded-opentype'), url('../fonts/glyphicons-halflings-regular.woff2') format('woff2'), url('../fonts/glyphicons-halflings-regular.woff') format('woff'), url('../fonts/glyphicons-halflings-regular.ttf') format('truetype'), url('../fonts/glyphicons-halflings-regular.svg#glyphicons_halflingsregular') format('svg');\n}\n.glyphicon {\n  position: relative;\n  top: 1px;\n  display: inline-block;\n  font-family: 'Glyphicons Halflings';\n  font-style: normal;\n  font-weight: normal;\n  line-height: 1;\n  -webkit-font-smoothing: antialiased;\n  -moz-osx-font-smoothing: grayscale;\n}\n.glyphicon-asterisk:before {\n  content: \"\\2a\";\n}\n.glyphicon-plus:before {\n  content: \"\\2b\";\n}\n.glyphicon-euro:before,\n.glyphicon-eur:before {\n  content: \"\\20ac\";\n}\n.glyphicon-minus:before {\n  content: \"\\2212\";\n}\n.glyphicon-cloud:before {\n  content: \"\\2601\";\n}\n.glyphicon-envelope:before {\n  content: \"\\2709\";\n}\n.glyphicon-pencil:before {\n  content: \"\\270f\";\n}\n.glyphicon-glass:before {\n  content: \"\\e001\";\n}\n.glyphicon-music:before {\n  content: \"\\e002\";\n}\n.glyphicon-search:before {\n  content: \"\\e003\";\n}\n.glyphicon-heart:before {\n  content: \"\\e005\";\n}\n.glyphicon-star:before {\n  content: \"\\e006\";\n}\n.glyphicon-star-empty:before {\n  content: \"\\e007\";\n}\n.glyphicon-user:before {\n  content: \"\\e008\";\n}\n.glyphicon-film:before {\n  content: \"\\e009\";\n}\n.glyphicon-th-large:before {\n  content: \"\\e010\";\n}\n.glyphicon-th:before {\n  content: \"\\e011\";\n}\n.glyphicon-th-list:before {\n  content: \"\\e012\";\n}\n.glyphicon-ok:before {\n  content: \"\\e013\";\n}\n.glyphicon-remove:before {\n  content: \"\\e014\";\n}\n.glyphicon-zoom-in:before {\n  content: \"\\e015\";\n}\n.glyphicon-zoom-out:before {\n  content: \"\\e016\";\n}\n.glyphicon-off:before {\n  content: \"\\e017\";\n}\n.glyphicon-signal:before {\n  content: \"\\e018\";\n}\n.glyphicon-cog:before {\n  content: \"\\e019\";\n}\n.glyphicon-trash:before {\n  content: \"\\e020\";\n}\n.glyphicon-home:before {\n  content: \"\\e021\";\n}\n.glyphicon-file:before {\n  content: \"\\e022\";\n}\n.glyphicon-time:before {\n  content: \"\\e023\";\n}\n.glyphicon-road:before {\n  content: \"\\e024\";\n}\n.glyphicon-download-alt:before {\n  content: \"\\e025\";\n}\n.glyphicon-download:before {\n  content: \"\\e026\";\n}\n.glyphicon-upload:before {\n  content: \"\\e027\";\n}\n.glyphicon-inbox:before {\n  content: \"\\e028\";\n}\n.glyphicon-play-circle:before {\n  content: \"\\e029\";\n}\n.glyphicon-repeat:before {\n  content: \"\\e030\";\n}\n.glyphicon-refresh:before {\n  content: \"\\e031\";\n}\n.glyphicon-list-alt:before {\n  content: \"\\e032\";\n}\n.glyphicon-lock:before {\n  content: \"\\e033\";\n}\n.glyphicon-flag:before {\n  content: \"\\e034\";\n}\n.glyphicon-headphones:before {\n  content: \"\\e035\";\n}\n.glyphicon-volume-off:before {\n  content: \"\\e036\";\n}\n.glyphicon-volume-down:before {\n  content: \"\\e037\";\n}\n.glyphicon-volume-up:before {\n  content: \"\\e038\";\n}\n.glyphicon-qrcode:before {\n  content: \"\\e039\";\n}\n.glyphicon-barcode:before {\n  content: \"\\e040\";\n}\n.glyphicon-tag:before {\n  content: \"\\e041\";\n}\n.glyphicon-tags:before {\n  content: \"\\e042\";\n}\n.glyphicon-book:before {\n  content: \"\\e043\";\n}\n.glyphicon-bookmark:before {\n  content: \"\\e044\";\n}\n.glyphicon-print:before {\n  content: \"\\e045\";\n}\n.glyphicon-camera:before {\n  content: \"\\e046\";\n}\n.glyphicon-font:before {\n  content: \"\\e047\";\n}\n.glyphicon-bold:before {\n  content: \"\\e048\";\n}\n.glyphicon-italic:before {\n  content: \"\\e049\";\n}\n.glyphicon-text-height:before {\n  content: \"\\e050\";\n}\n.glyphicon-text-width:before {\n  content: \"\\e051\";\n}\n.glyphicon-align-left:before {\n  content: \"\\e052\";\n}\n.glyphicon-align-center:before {\n  content: \"\\e053\";\n}\n.glyphicon-align-right:before {\n  content: \"\\e054\";\n}\n.glyphicon-align-justify:before {\n  content: \"\\e055\";\n}\n.glyphicon-list:before {\n  content: \"\\e056\";\n}\n.glyphicon-indent-left:before {\n  content: \"\\e057\";\n}\n.glyphicon-indent-right:before {\n  content: \"\\e058\";\n}\n.glyphicon-facetime-video:before {\n  content: \"\\e059\";\n}\n.glyphicon-picture:before {\n  content: \"\\e060\";\n}\n.glyphicon-map-marker:before {\n  content: \"\\e062\";\n}\n.glyphicon-adjust:before {\n  content: \"\\e063\";\n}\n.glyphicon-tint:before {\n  content: \"\\e064\";\n}\n.glyphicon-edit:before {\n  content: \"\\e065\";\n}\n.glyphicon-share:before {\n  content: \"\\e066\";\n}\n.glyphicon-check:before {\n  content: \"\\e067\";\n}\n.glyphicon-move:before {\n  content: \"\\e068\";\n}\n.glyphicon-step-backward:before {\n  content: \"\\e069\";\n}\n.glyphicon-fast-backward:before {\n  content: \"\\e070\";\n}\n.glyphicon-backward:before {\n  content: \"\\e071\";\n}\n.glyphicon-play:before {\n  content: \"\\e072\";\n}\n.glyphicon-pause:before {\n  content: \"\\e073\";\n}\n.glyphicon-stop:before {\n  content: \"\\e074\";\n}\n.glyphicon-forward:before {\n  content: \"\\e075\";\n}\n.glyphicon-fast-forward:before {\n  content: \"\\e076\";\n}\n.glyphicon-step-forward:before {\n  content: \"\\e077\";\n}\n.glyphicon-eject:before {\n  content: \"\\e078\";\n}\n.glyphicon-chevron-left:before {\n  content: \"\\e079\";\n}\n.glyphicon-chevron-right:before {\n  content: \"\\e080\";\n}\n.glyphicon-plus-sign:before {\n  content: \"\\e081\";\n}\n.glyphicon-minus-sign:before {\n  content: \"\\e082\";\n}\n.glyphicon-remove-sign:before {\n  content: \"\\e083\";\n}\n.glyphicon-ok-sign:before {\n  content: \"\\e084\";\n}\n.glyphicon-question-sign:before {\n  content: \"\\e085\";\n}\n.glyphicon-info-sign:before {\n  content: \"\\e086\";\n}\n.glyphicon-screenshot:before {\n  content: \"\\e087\";\n}\n.glyphicon-remove-circle:before {\n  content: \"\\e088\";\n}\n.glyphicon-ok-circle:before {\n  content: \"\\e089\";\n}\n.glyphicon-ban-circle:before {\n  content: \"\\e090\";\n}\n.glyphicon-arrow-left:before {\n  content: \"\\e091\";\n}\n.glyphicon-arrow-right:before {\n  content: \"\\e092\";\n}\n.glyphicon-arrow-up:before {\n  content: \"\\e093\";\n}\n.glyphicon-arrow-down:before {\n  content: \"\\e094\";\n}\n.glyphicon-share-alt:before {\n  content: \"\\e095\";\n}\n.glyphicon-resize-full:before {\n  content: \"\\e096\";\n}\n.glyphicon-resize-small:before {\n  content: \"\\e097\";\n}\n.glyphicon-exclamation-sign:before {\n  content: \"\\e101\";\n}\n.glyphicon-gift:before {\n  content: \"\\e102\";\n}\n.glyphicon-leaf:before {\n  content: \"\\e103\";\n}\n.glyphicon-fire:before {\n  content: \"\\e104\";\n}\n.glyphicon-eye-open:before {\n  content: \"\\e105\";\n}\n.glyphicon-eye-close:before {\n  content: \"\\e106\";\n}\n.glyphicon-warning-sign:before {\n  content: \"\\e107\";\n}\n.glyphicon-plane:before {\n  content: \"\\e108\";\n}\n.glyphicon-calendar:before {\n  content: \"\\e109\";\n}\n.glyphicon-random:before {\n  content: \"\\e110\";\n}\n.glyphicon-comment:before {\n  content: \"\\e111\";\n}\n.glyphicon-magnet:before {\n  content: \"\\e112\";\n}\n.glyphicon-chevron-up:before {\n  content: \"\\e113\";\n}\n.glyphicon-chevron-down:before {\n  content: \"\\e114\";\n}\n.glyphicon-retweet:before {\n  content: \"\\e115\";\n}\n.glyphicon-shopping-cart:before {\n  content: \"\\e116\";\n}\n.glyphicon-folder-close:before {\n  content: \"\\e117\";\n}\n.glyphicon-folder-open:before {\n  content: \"\\e118\";\n}\n.glyphicon-resize-vertical:before {\n  content: \"\\e119\";\n}\n.glyphicon-resize-horizontal:before {\n  content: \"\\e120\";\n}\n.glyphicon-hdd:before {\n  content: \"\\e121\";\n}\n.glyphicon-bullhorn:before {\n  content: \"\\e122\";\n}\n.glyphicon-bell:before {\n  content: \"\\e123\";\n}\n.glyphicon-certificate:before {\n  content: \"\\e124\";\n}\n.glyphicon-thumbs-up:before {\n  content: \"\\e125\";\n}\n.glyphicon-thumbs-down:before {\n  content: \"\\e126\";\n}\n.glyphicon-hand-right:before {\n  content: \"\\e127\";\n}\n.glyphicon-hand-left:before {\n  content: \"\\e128\";\n}\n.glyphicon-hand-up:before {\n  content: \"\\e129\";\n}\n.glyphicon-hand-down:before {\n  content: \"\\e130\";\n}\n.glyphicon-circle-arrow-right:before {\n  content: \"\\e131\";\n}\n.glyphicon-circle-arrow-left:before {\n  content: \"\\e132\";\n}\n.glyphicon-circle-arrow-up:before {\n  content: \"\\e133\";\n}\n.glyphicon-circle-arrow-down:before {\n  content: \"\\e134\";\n}\n.glyphicon-globe:before {\n  content: \"\\e135\";\n}\n.glyphicon-wrench:before {\n  content: \"\\e136\";\n}\n.glyphicon-tasks:before {\n  content: \"\\e137\";\n}\n.glyphicon-filter:before {\n  content: \"\\e138\";\n}\n.glyphicon-briefcase:before {\n  content: \"\\e139\";\n}\n.glyphicon-fullscreen:before {\n  content: \"\\e140\";\n}\n.glyphicon-dashboard:before {\n  content: \"\\e141\";\n}\n.glyphicon-paperclip:before {\n  content: \"\\e142\";\n}\n.glyphicon-heart-empty:before {\n  content: \"\\e143\";\n}\n.glyphicon-link:before {\n  content: \"\\e144\";\n}\n.glyphicon-phone:before {\n  content: \"\\e145\";\n}\n.glyphicon-pushpin:before {\n  content: \"\\e146\";\n}\n.glyphicon-usd:before {\n  content: \"\\e148\";\n}\n.glyphicon-gbp:before {\n  content: \"\\e149\";\n}\n.glyphicon-sort:before {\n  content: \"\\e150\";\n}\n.glyphicon-sort-by-alphabet:before {\n  content: \"\\e151\";\n}\n.glyphicon-sort-by-alphabet-alt:before {\n  content: \"\\e152\";\n}\n.glyphicon-sort-by-order:before {\n  content: \"\\e153\";\n}\n.glyphicon-sort-by-order-alt:before {\n  content: \"\\e154\";\n}\n.glyphicon-sort-by-attributes:before {\n  content: \"\\e155\";\n}\n.glyphicon-sort-by-attributes-alt:before {\n  content: \"\\e156\";\n}\n.glyphicon-unchecked:before {\n  content: \"\\e157\";\n}\n.glyphicon-expand:before {\n  content: \"\\e158\";\n}\n.glyphicon-collapse-down:before {\n  content: \"\\e159\";\n}\n.glyphicon-collapse-up:before {\n  content: \"\\e160\";\n}\n.glyphicon-log-in:before {\n  content: \"\\e161\";\n}\n.glyphicon-flash:before {\n  content: \"\\e162\";\n}\n.glyphicon-log-out:before {\n  content: \"\\e163\";\n}\n.glyphicon-new-window:before {\n  content: \"\\e164\";\n}\n.glyphicon-record:before {\n  content: \"\\e165\";\n}\n.glyphicon-save:before {\n  content: \"\\e166\";\n}\n.glyphicon-open:before {\n  content: \"\\e167\";\n}\n.glyphicon-saved:before {\n  content: \"\\e168\";\n}\n.glyphicon-import:before {\n  content: \"\\e169\";\n}\n.glyphicon-export:before {\n  content: \"\\e170\";\n}\n.glyphicon-send:before {\n  content: \"\\e171\";\n}\n.glyphicon-floppy-disk:before {\n  content: \"\\e172\";\n}\n.glyphicon-floppy-saved:before {\n  content: \"\\e173\";\n}\n.glyphicon-floppy-remove:before {\n  content: \"\\e174\";\n}\n.glyphicon-floppy-save:before {\n  content: \"\\e175\";\n}\n.glyphicon-floppy-open:before {\n  content: \"\\e176\";\n}\n.glyphicon-credit-card:before {\n  content: \"\\e177\";\n}\n.glyphicon-transfer:before {\n  content: \"\\e178\";\n}\n.glyphicon-cutlery:before {\n  content: \"\\e179\";\n}\n.glyphicon-header:before {\n  content: \"\\e180\";\n}\n.glyphicon-compressed:before {\n  content: \"\\e181\";\n}\n.glyphicon-earphone:before {\n  content: \"\\e182\";\n}\n.glyphicon-phone-alt:before {\n  content: \"\\e183\";\n}\n.glyphicon-tower:before {\n  content: \"\\e184\";\n}\n.glyphicon-stats:before {\n  content: \"\\e185\";\n}\n.glyphicon-sd-video:before {\n  content: \"\\e186\";\n}\n.glyphicon-hd-video:before {\n  content: \"\\e187\";\n}\n.glyphicon-subtitles:before {\n  content: \"\\e188\";\n}\n.glyphicon-sound-stereo:before {\n  content: \"\\e189\";\n}\n.glyphicon-sound-dolby:before {\n  content: \"\\e190\";\n}\n.glyphicon-sound-5-1:before {\n  content: \"\\e191\";\n}\n.glyphicon-sound-6-1:before {\n  content: \"\\e192\";\n}\n.glyphicon-sound-7-1:before {\n  content: \"\\e193\";\n}\n.glyphicon-copyright-mark:before {\n  content: \"\\e194\";\n}\n.glyphicon-registration-mark:before {\n  content: \"\\e195\";\n}\n.glyphicon-cloud-download:before {\n  content: \"\\e197\";\n}\n.glyphicon-cloud-upload:before {\n  content: \"\\e198\";\n}\n.glyphicon-tree-conifer:before {\n  content: \"\\e199\";\n}\n.glyphicon-tree-deciduous:before {\n  content: \"\\e200\";\n}\n.glyphicon-cd:before {\n  content: \"\\e201\";\n}\n.glyphicon-save-file:before {\n  content: \"\\e202\";\n}\n.glyphicon-open-file:before {\n  content: \"\\e203\";\n}\n.glyphicon-level-up:before {\n  content: \"\\e204\";\n}\n.glyphicon-copy:before {\n  content: \"\\e205\";\n}\n.glyphicon-paste:before {\n  content: \"\\e206\";\n}\n.glyphicon-alert:before {\n  content: \"\\e209\";\n}\n.glyphicon-equalizer:before {\n  content: \"\\e210\";\n}\n.glyphicon-king:before {\n  content: \"\\e211\";\n}\n.glyphicon-queen:before {\n  content: \"\\e212\";\n}\n.glyphicon-pawn:before {\n  content: \"\\e213\";\n}\n.glyphicon-bishop:before {\n  content: \"\\e214\";\n}\n.glyphicon-knight:before {\n  content: \"\\e215\";\n}\n.glyphicon-baby-formula:before {\n  content: \"\\e216\";\n}\n.glyphicon-tent:before {\n  content: \"\\26fa\";\n}\n.glyphicon-blackboard:before {\n  content: \"\\e218\";\n}\n.glyphicon-bed:before {\n  content: \"\\e219\";\n}\n.glyphicon-apple:before {\n  content: \"\\f8ff\";\n}\n.glyphicon-erase:before {\n  content: \"\\e221\";\n}\n.glyphicon-hourglass:before {\n  content: \"\\231b\";\n}\n.glyphicon-lamp:before {\n  content: \"\\e223\";\n}\n.glyphicon-duplicate:before {\n  content: \"\\e224\";\n}\n.glyphicon-piggy-bank:before {\n  content: \"\\e225\";\n}\n.glyphicon-scissors:before {\n  content: \"\\e226\";\n}\n.glyphicon-bitcoin:before {\n  content: \"\\e227\";\n}\n.glyphicon-btc:before {\n  content: \"\\e227\";\n}\n.glyphicon-xbt:before {\n  content: \"\\e227\";\n}\n.glyphicon-yen:before {\n  content: \"\\00a5\";\n}\n.glyphicon-jpy:before {\n  content: \"\\00a5\";\n}\n.glyphicon-ruble:before {\n  content: \"\\20bd\";\n}\n.glyphicon-rub:before {\n  content: \"\\20bd\";\n}\n.glyphicon-scale:before {\n  content: \"\\e230\";\n}\n.glyphicon-ice-lolly:before {\n  content: \"\\e231\";\n}\n.glyphicon-ice-lolly-tasted:before {\n  content: \"\\e232\";\n}\n.glyphicon-education:before {\n  content: \"\\e233\";\n}\n.glyphicon-option-horizontal:before {\n  content: \"\\e234\";\n}\n.glyphicon-option-vertical:before {\n  content: \"\\e235\";\n}\n.glyphicon-menu-hamburger:before {\n  content: \"\\e236\";\n}\n.glyphicon-modal-window:before {\n  content: \"\\e237\";\n}\n.glyphicon-oil:before {\n  content: \"\\e238\";\n}\n.glyphicon-grain:before {\n  content: \"\\e239\";\n}\n.glyphicon-sunglasses:before {\n  content: \"\\e240\";\n}\n.glyphicon-text-size:before {\n  content: \"\\e241\";\n}\n.glyphicon-text-color:before {\n  content: \"\\e242\";\n}\n.glyphicon-text-background:before {\n  content: \"\\e243\";\n}\n.glyphicon-object-align-top:before {\n  content: \"\\e244\";\n}\n.glyphicon-object-align-bottom:before {\n  content: \"\\e245\";\n}\n.glyphicon-object-align-horizontal:before {\n  content: \"\\e246\";\n}\n.glyphicon-object-align-left:before {\n  content: \"\\e247\";\n}\n.glyphicon-object-align-vertical:before {\n  content: \"\\e248\";\n}\n.glyphicon-object-align-right:before {\n  content: \"\\e249\";\n}\n.glyphicon-triangle-right:before {\n  content: \"\\e250\";\n}\n.glyphicon-triangle-left:before {\n  content: \"\\e251\";\n}\n.glyphicon-triangle-bottom:before {\n  content: \"\\e252\";\n}\n.glyphicon-triangle-top:before {\n  content: \"\\e253\";\n}\n.glyphicon-console:before {\n  content: \"\\e254\";\n}\n.glyphicon-superscript:before {\n  content: \"\\e255\";\n}\n.glyphicon-subscript:before {\n  content: \"\\e256\";\n}\n.glyphicon-menu-left:before {\n  content: \"\\e257\";\n}\n.glyphicon-menu-right:before {\n  content: \"\\e258\";\n}\n.glyphicon-menu-down:before {\n  content: \"\\e259\";\n}\n.glyphicon-menu-up:before {\n  content: \"\\e260\";\n}\n* {\n  -webkit-box-sizing: border-box;\n  -moz-box-sizing: border-box;\n  box-sizing: border-box;\n}\n*:before,\n*:after {\n  -webkit-box-sizing: border-box;\n  -moz-box-sizing: border-box;\n  box-sizing: border-box;\n}\nhtml {\n  font-size: 10px;\n  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\n}\nbody {\n  font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n  font-size: 14px;\n  line-height: 1.42857143;\n  color: #333333;\n  background-color: #ffffff;\n}\ninput,\nbutton,\nselect,\ntextarea {\n  font-family: inherit;\n  font-size: inherit;\n  line-height: inherit;\n}\na {\n  color: #337ab7;\n  text-decoration: none;\n}\na:hover,\na:focus {\n  color: #23527c;\n  text-decoration: underline;\n}\na:focus {\n  outline: thin dotted;\n  outline: 5px auto -webkit-focus-ring-color;\n  outline-offset: -2px;\n}\nfigure {\n  margin: 0;\n}\nimg {\n  vertical-align: middle;\n}\n.img-responsive,\n.thumbnail > img,\n.thumbnail a > img,\n.carousel-inner > .item > img,\n.carousel-inner > .item > a > img {\n  display: block;\n  max-width: 100%;\n  height: auto;\n}\n.img-rounded {\n  border-radius: 6px;\n}\n.img-thumbnail {\n  padding: 4px;\n  line-height: 1.42857143;\n  background-color: #ffffff;\n  border: 1px solid #dddddd;\n  border-radius: 4px;\n  -webkit-transition: all 0.2s ease-in-out;\n  -o-transition: all 0.2s ease-in-out;\n  transition: all 0.2s ease-in-out;\n  display: inline-block;\n  max-width: 100%;\n  height: auto;\n}\n.img-circle {\n  border-radius: 50%;\n}\nhr {\n  margin-top: 20px;\n  margin-bottom: 20px;\n  border: 0;\n  border-top: 1px solid #eeeeee;\n}\n.sr-only {\n  position: absolute;\n  width: 1px;\n  height: 1px;\n  margin: -1px;\n  padding: 0;\n  overflow: hidden;\n  clip: rect(0, 0, 0, 0);\n  border: 0;\n}\n.sr-only-focusable:active,\n.sr-only-focusable:focus {\n  position: static;\n  width: auto;\n  height: auto;\n  margin: 0;\n  overflow: visible;\n  clip: auto;\n}\n[role=\"button\"] {\n  cursor: pointer;\n}\nh1,\nh2,\nh3,\nh4,\nh5,\nh6,\n.h1,\n.h2,\n.h3,\n.h4,\n.h5,\n.h6 {\n  font-family: inherit;\n  font-weight: 500;\n  line-height: 1.1;\n  color: inherit;\n}\nh1 small,\nh2 small,\nh3 small,\nh4 small,\nh5 small,\nh6 small,\n.h1 small,\n.h2 small,\n.h3 small,\n.h4 small,\n.h5 small,\n.h6 small,\nh1 .small,\nh2 .small,\nh3 .small,\nh4 .small,\nh5 .small,\nh6 .small,\n.h1 .small,\n.h2 .small,\n.h3 .small,\n.h4 .small,\n.h5 .small,\n.h6 .small {\n  font-weight: normal;\n  line-height: 1;\n  color: #777777;\n}\nh1,\n.h1,\nh2,\n.h2,\nh3,\n.h3 {\n  margin-top: 20px;\n  margin-bottom: 10px;\n}\nh1 small,\n.h1 small,\nh2 small,\n.h2 small,\nh3 small,\n.h3 small,\nh1 .small,\n.h1 .small,\nh2 .small,\n.h2 .small,\nh3 .small,\n.h3 .small {\n  font-size: 65%;\n}\nh4,\n.h4,\nh5,\n.h5,\nh6,\n.h6 {\n  margin-top: 10px;\n  margin-bottom: 10px;\n}\nh4 small,\n.h4 small,\nh5 small,\n.h5 small,\nh6 small,\n.h6 small,\nh4 .small,\n.h4 .small,\nh5 .small,\n.h5 .small,\nh6 .small,\n.h6 .small {\n  font-size: 75%;\n}\nh1,\n.h1 {\n  font-size: 36px;\n}\nh2,\n.h2 {\n  font-size: 30px;\n}\nh3,\n.h3 {\n  font-size: 24px;\n}\nh4,\n.h4 {\n  font-size: 18px;\n}\nh5,\n.h5 {\n  font-size: 14px;\n}\nh6,\n.h6 {\n  font-size: 12px;\n}\np {\n  margin: 0 0 10px;\n}\n.lead {\n  margin-bottom: 20px;\n  font-size: 16px;\n  font-weight: 300;\n  line-height: 1.4;\n}\n@media (min-width: 768px) {\n  .lead {\n    font-size: 21px;\n  }\n}\nsmall,\n.small {\n  font-size: 85%;\n}\nmark,\n.mark {\n  background-color: #fcf8e3;\n  padding: .2em;\n}\n.text-left {\n  text-align: left;\n}\n.text-right {\n  text-align: right;\n}\n.text-center {\n  text-align: center;\n}\n.text-justify {\n  text-align: justify;\n}\n.text-nowrap {\n  white-space: nowrap;\n}\n.text-lowercase {\n  text-transform: lowercase;\n}\n.text-uppercase {\n  text-transform: uppercase;\n}\n.text-capitalize {\n  text-transform: capitalize;\n}\n.text-muted {\n  color: #777777;\n}\n.text-primary {\n  color: #337ab7;\n}\na.text-primary:hover {\n  color: #286090;\n}\n.text-success {\n  color: #3c763d;\n}\na.text-success:hover {\n  color: #2b542c;\n}\n.text-info {\n  color: #31708f;\n}\na.text-info:hover {\n  color: #245269;\n}\n.text-warning {\n  color: #8a6d3b;\n}\na.text-warning:hover {\n  color: #66512c;\n}\n.text-danger {\n  color: #a94442;\n}\na.text-danger:hover {\n  color: #843534;\n}\n.bg-primary {\n  color: #fff;\n  background-color: #337ab7;\n}\na.bg-primary:hover {\n  background-color: #286090;\n}\n.bg-success {\n  background-color: #dff0d8;\n}\na.bg-success:hover {\n  background-color: #c1e2b3;\n}\n.bg-info {\n  background-color: #d9edf7;\n}\na.bg-info:hover {\n  background-color: #afd9ee;\n}\n.bg-warning {\n  background-color: #fcf8e3;\n}\na.bg-warning:hover {\n  background-color: #f7ecb5;\n}\n.bg-danger {\n  background-color: #f2dede;\n}\na.bg-danger:hover {\n  background-color: #e4b9b9;\n}\n.page-header {\n  padding-bottom: 9px;\n  margin: 40px 0 20px;\n  border-bottom: 1px solid #eeeeee;\n}\nul,\nol {\n  margin-top: 0;\n  margin-bottom: 10px;\n}\nul ul,\nol ul,\nul ol,\nol ol {\n  margin-bottom: 0;\n}\n.list-unstyled {\n  padding-left: 0;\n  list-style: none;\n}\n.list-inline {\n  padding-left: 0;\n  list-style: none;\n  margin-left: -5px;\n}\n.list-inline > li {\n  display: inline-block;\n  padding-left: 5px;\n  padding-right: 5px;\n}\ndl {\n  margin-top: 0;\n  margin-bottom: 20px;\n}\ndt,\ndd {\n  line-height: 1.42857143;\n}\ndt {\n  font-weight: bold;\n}\ndd {\n  margin-left: 0;\n}\n@media (min-width: 768px) {\n  .dl-horizontal dt {\n    float: left;\n    width: 160px;\n    clear: left;\n    text-align: right;\n    overflow: hidden;\n    text-overflow: ellipsis;\n    white-space: nowrap;\n  }\n  .dl-horizontal dd {\n    margin-left: 180px;\n  }\n}\nabbr[title],\nabbr[data-original-title] {\n  cursor: help;\n  border-bottom: 1px dotted #777777;\n}\n.initialism {\n  font-size: 90%;\n  text-transform: uppercase;\n}\nblockquote {\n  padding: 10px 20px;\n  margin: 0 0 20px;\n  font-size: 17.5px;\n  border-left: 5px solid #eeeeee;\n}\nblockquote p:last-child,\nblockquote ul:last-child,\nblockquote ol:last-child {\n  margin-bottom: 0;\n}\nblockquote footer,\nblockquote small,\nblockquote .small {\n  display: block;\n  font-size: 80%;\n  line-height: 1.42857143;\n  color: #777777;\n}\nblockquote footer:before,\nblockquote small:before,\nblockquote .small:before {\n  content: '\\2014 \\00A0';\n}\n.blockquote-reverse,\nblockquote.pull-right {\n  padding-right: 15px;\n  padding-left: 0;\n  border-right: 5px solid #eeeeee;\n  border-left: 0;\n  text-align: right;\n}\n.blockquote-reverse footer:before,\nblockquote.pull-right footer:before,\n.blockquote-reverse small:before,\nblockquote.pull-right small:before,\n.blockquote-reverse .small:before,\nblockquote.pull-right .small:before {\n  content: '';\n}\n.blockquote-reverse footer:after,\nblockquote.pull-right footer:after,\n.blockquote-reverse small:after,\nblockquote.pull-right small:after,\n.blockquote-reverse .small:after,\nblockquote.pull-right .small:after {\n  content: '\\00A0 \\2014';\n}\naddress {\n  margin-bottom: 20px;\n  font-style: normal;\n  line-height: 1.42857143;\n}\ncode,\nkbd,\npre,\nsamp {\n  font-family: Menlo, Monaco, Consolas, \"Courier New\", monospace;\n}\ncode {\n  padding: 2px 4px;\n  font-size: 90%;\n  color: #c7254e;\n  background-color: #f9f2f4;\n  border-radius: 4px;\n}\nkbd {\n  padding: 2px 4px;\n  font-size: 90%;\n  color: #ffffff;\n  background-color: #333333;\n  border-radius: 3px;\n  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);\n}\nkbd kbd {\n  padding: 0;\n  font-size: 100%;\n  font-weight: bold;\n  box-shadow: none;\n}\npre {\n  display: block;\n  padding: 9.5px;\n  margin: 0 0 10px;\n  font-size: 13px;\n  line-height: 1.42857143;\n  word-break: break-all;\n  word-wrap: break-word;\n  color: #333333;\n  background-color: #f5f5f5;\n  border: 1px solid #cccccc;\n  border-radius: 4px;\n}\npre code {\n  padding: 0;\n  font-size: inherit;\n  color: inherit;\n  white-space: pre-wrap;\n  background-color: transparent;\n  border-radius: 0;\n}\n.pre-scrollable {\n  max-height: 340px;\n  overflow-y: scroll;\n}\n.container {\n  margin-right: auto;\n  margin-left: auto;\n  padding-left: 15px;\n  padding-right: 15px;\n}\n@media (min-width: 768px) {\n  .container {\n    width: 750px;\n  }\n}\n@media (min-width: 992px) {\n  .container {\n    width: 970px;\n  }\n}\n@media (min-width: 1200px) {\n  .container {\n    width: 1170px;\n  }\n}\n.container-fluid {\n  margin-right: auto;\n  margin-left: auto;\n  padding-left: 15px;\n  padding-right: 15px;\n}\n.row {\n  margin-left: -15px;\n  margin-right: -15px;\n}\n.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {\n  position: relative;\n  min-height: 1px;\n  padding-left: 15px;\n  padding-right: 15px;\n}\n.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {\n  float: left;\n}\n.col-xs-12 {\n  width: 100%;\n}\n.col-xs-11 {\n  width: 91.66666667%;\n}\n.col-xs-10 {\n  width: 83.33333333%;\n}\n.col-xs-9 {\n  width: 75%;\n}\n.col-xs-8 {\n  width: 66.66666667%;\n}\n.col-xs-7 {\n  width: 58.33333333%;\n}\n.col-xs-6 {\n  width: 50%;\n}\n.col-xs-5 {\n  width: 41.66666667%;\n}\n.col-xs-4 {\n  width: 33.33333333%;\n}\n.col-xs-3 {\n  width: 25%;\n}\n.col-xs-2 {\n  width: 16.66666667%;\n}\n.col-xs-1 {\n  width: 8.33333333%;\n}\n.col-xs-pull-12 {\n  right: 100%;\n}\n.col-xs-pull-11 {\n  right: 91.66666667%;\n}\n.col-xs-pull-10 {\n  right: 83.33333333%;\n}\n.col-xs-pull-9 {\n  right: 75%;\n}\n.col-xs-pull-8 {\n  right: 66.66666667%;\n}\n.col-xs-pull-7 {\n  right: 58.33333333%;\n}\n.col-xs-pull-6 {\n  right: 50%;\n}\n.col-xs-pull-5 {\n  right: 41.66666667%;\n}\n.col-xs-pull-4 {\n  right: 33.33333333%;\n}\n.col-xs-pull-3 {\n  right: 25%;\n}\n.col-xs-pull-2 {\n  right: 16.66666667%;\n}\n.col-xs-pull-1 {\n  right: 8.33333333%;\n}\n.col-xs-pull-0 {\n  right: auto;\n}\n.col-xs-push-12 {\n  left: 100%;\n}\n.col-xs-push-11 {\n  left: 91.66666667%;\n}\n.col-xs-push-10 {\n  left: 83.33333333%;\n}\n.col-xs-push-9 {\n  left: 75%;\n}\n.col-xs-push-8 {\n  left: 66.66666667%;\n}\n.col-xs-push-7 {\n  left: 58.33333333%;\n}\n.col-xs-push-6 {\n  left: 50%;\n}\n.col-xs-push-5 {\n  left: 41.66666667%;\n}\n.col-xs-push-4 {\n  left: 33.33333333%;\n}\n.col-xs-push-3 {\n  left: 25%;\n}\n.col-xs-push-2 {\n  left: 16.66666667%;\n}\n.col-xs-push-1 {\n  left: 8.33333333%;\n}\n.col-xs-push-0 {\n  left: auto;\n}\n.col-xs-offset-12 {\n  margin-left: 100%;\n}\n.col-xs-offset-11 {\n  margin-left: 91.66666667%;\n}\n.col-xs-offset-10 {\n  margin-left: 83.33333333%;\n}\n.col-xs-offset-9 {\n  margin-left: 75%;\n}\n.col-xs-offset-8 {\n  margin-left: 66.66666667%;\n}\n.col-xs-offset-7 {\n  margin-left: 58.33333333%;\n}\n.col-xs-offset-6 {\n  margin-left: 50%;\n}\n.col-xs-offset-5 {\n  margin-left: 41.66666667%;\n}\n.col-xs-offset-4 {\n  margin-left: 33.33333333%;\n}\n.col-xs-offset-3 {\n  margin-left: 25%;\n}\n.col-xs-offset-2 {\n  margin-left: 16.66666667%;\n}\n.col-xs-offset-1 {\n  margin-left: 8.33333333%;\n}\n.col-xs-offset-0 {\n  margin-left: 0%;\n}\n@media (min-width: 768px) {\n  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {\n    float: left;\n  }\n  .col-sm-12 {\n    width: 100%;\n  }\n  .col-sm-11 {\n    width: 91.66666667%;\n  }\n  .col-sm-10 {\n    width: 83.33333333%;\n  }\n  .col-sm-9 {\n    width: 75%;\n  }\n  .col-sm-8 {\n    width: 66.66666667%;\n  }\n  .col-sm-7 {\n    width: 58.33333333%;\n  }\n  .col-sm-6 {\n    width: 50%;\n  }\n  .col-sm-5 {\n    width: 41.66666667%;\n  }\n  .col-sm-4 {\n    width: 33.33333333%;\n  }\n  .col-sm-3 {\n    width: 25%;\n  }\n  .col-sm-2 {\n    width: 16.66666667%;\n  }\n  .col-sm-1 {\n    width: 8.33333333%;\n  }\n  .col-sm-pull-12 {\n    right: 100%;\n  }\n  .col-sm-pull-11 {\n    right: 91.66666667%;\n  }\n  .col-sm-pull-10 {\n    right: 83.33333333%;\n  }\n  .col-sm-pull-9 {\n    right: 75%;\n  }\n  .col-sm-pull-8 {\n    right: 66.66666667%;\n  }\n  .col-sm-pull-7 {\n    right: 58.33333333%;\n  }\n  .col-sm-pull-6 {\n    right: 50%;\n  }\n  .col-sm-pull-5 {\n    right: 41.66666667%;\n  }\n  .col-sm-pull-4 {\n    right: 33.33333333%;\n  }\n  .col-sm-pull-3 {\n    right: 25%;\n  }\n  .col-sm-pull-2 {\n    right: 16.66666667%;\n  }\n  .col-sm-pull-1 {\n    right: 8.33333333%;\n  }\n  .col-sm-pull-0 {\n    right: auto;\n  }\n  .col-sm-push-12 {\n    left: 100%;\n  }\n  .col-sm-push-11 {\n    left: 91.66666667%;\n  }\n  .col-sm-push-10 {\n    left: 83.33333333%;\n  }\n  .col-sm-push-9 {\n    left: 75%;\n  }\n  .col-sm-push-8 {\n    left: 66.66666667%;\n  }\n  .col-sm-push-7 {\n    left: 58.33333333%;\n  }\n  .col-sm-push-6 {\n    left: 50%;\n  }\n  .col-sm-push-5 {\n    left: 41.66666667%;\n  }\n  .col-sm-push-4 {\n    left: 33.33333333%;\n  }\n  .col-sm-push-3 {\n    left: 25%;\n  }\n  .col-sm-push-2 {\n    left: 16.66666667%;\n  }\n  .col-sm-push-1 {\n    left: 8.33333333%;\n  }\n  .col-sm-push-0 {\n    left: auto;\n  }\n  .col-sm-offset-12 {\n    margin-left: 100%;\n  }\n  .col-sm-offset-11 {\n    margin-left: 91.66666667%;\n  }\n  .col-sm-offset-10 {\n    margin-left: 83.33333333%;\n  }\n  .col-sm-offset-9 {\n    margin-left: 75%;\n  }\n  .col-sm-offset-8 {\n    margin-left: 66.66666667%;\n  }\n  .col-sm-offset-7 {\n    margin-left: 58.33333333%;\n  }\n  .col-sm-offset-6 {\n    margin-left: 50%;\n  }\n  .col-sm-offset-5 {\n    margin-left: 41.66666667%;\n  }\n  .col-sm-offset-4 {\n    margin-left: 33.33333333%;\n  }\n  .col-sm-offset-3 {\n    margin-left: 25%;\n  }\n  .col-sm-offset-2 {\n    margin-left: 16.66666667%;\n  }\n  .col-sm-offset-1 {\n    margin-left: 8.33333333%;\n  }\n  .col-sm-offset-0 {\n    margin-left: 0%;\n  }\n}\n@media (min-width: 992px) {\n  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {\n    float: left;\n  }\n  .col-md-12 {\n    width: 100%;\n  }\n  .col-md-11 {\n    width: 91.66666667%;\n  }\n  .col-md-10 {\n    width: 83.33333333%;\n  }\n  .col-md-9 {\n    width: 75%;\n  }\n  .col-md-8 {\n    width: 66.66666667%;\n  }\n  .col-md-7 {\n    width: 58.33333333%;\n  }\n  .col-md-6 {\n    width: 50%;\n  }\n  .col-md-5 {\n    width: 41.66666667%;\n  }\n  .col-md-4 {\n    width: 33.33333333%;\n  }\n  .col-md-3 {\n    width: 25%;\n  }\n  .col-md-2 {\n    width: 16.66666667%;\n  }\n  .col-md-1 {\n    width: 8.33333333%;\n  }\n  .col-md-pull-12 {\n    right: 100%;\n  }\n  .col-md-pull-11 {\n    right: 91.66666667%;\n  }\n  .col-md-pull-10 {\n    right: 83.33333333%;\n  }\n  .col-md-pull-9 {\n    right: 75%;\n  }\n  .col-md-pull-8 {\n    right: 66.66666667%;\n  }\n  .col-md-pull-7 {\n    right: 58.33333333%;\n  }\n  .col-md-pull-6 {\n    right: 50%;\n  }\n  .col-md-pull-5 {\n    right: 41.66666667%;\n  }\n  .col-md-pull-4 {\n    right: 33.33333333%;\n  }\n  .col-md-pull-3 {\n    right: 25%;\n  }\n  .col-md-pull-2 {\n    right: 16.66666667%;\n  }\n  .col-md-pull-1 {\n    right: 8.33333333%;\n  }\n  .col-md-pull-0 {\n    right: auto;\n  }\n  .col-md-push-12 {\n    left: 100%;\n  }\n  .col-md-push-11 {\n    left: 91.66666667%;\n  }\n  .col-md-push-10 {\n    left: 83.33333333%;\n  }\n  .col-md-push-9 {\n    left: 75%;\n  }\n  .col-md-push-8 {\n    left: 66.66666667%;\n  }\n  .col-md-push-7 {\n    left: 58.33333333%;\n  }\n  .col-md-push-6 {\n    left: 50%;\n  }\n  .col-md-push-5 {\n    left: 41.66666667%;\n  }\n  .col-md-push-4 {\n    left: 33.33333333%;\n  }\n  .col-md-push-3 {\n    left: 25%;\n  }\n  .col-md-push-2 {\n    left: 16.66666667%;\n  }\n  .col-md-push-1 {\n    left: 8.33333333%;\n  }\n  .col-md-push-0 {\n    left: auto;\n  }\n  .col-md-offset-12 {\n    margin-left: 100%;\n  }\n  .col-md-offset-11 {\n    margin-left: 91.66666667%;\n  }\n  .col-md-offset-10 {\n    margin-left: 83.33333333%;\n  }\n  .col-md-offset-9 {\n    margin-left: 75%;\n  }\n  .col-md-offset-8 {\n    margin-left: 66.66666667%;\n  }\n  .col-md-offset-7 {\n    margin-left: 58.33333333%;\n  }\n  .col-md-offset-6 {\n    margin-left: 50%;\n  }\n  .col-md-offset-5 {\n    margin-left: 41.66666667%;\n  }\n  .col-md-offset-4 {\n    margin-left: 33.33333333%;\n  }\n  .col-md-offset-3 {\n    margin-left: 25%;\n  }\n  .col-md-offset-2 {\n    margin-left: 16.66666667%;\n  }\n  .col-md-offset-1 {\n    margin-left: 8.33333333%;\n  }\n  .col-md-offset-0 {\n    margin-left: 0%;\n  }\n}\n@media (min-width: 1200px) {\n  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {\n    float: left;\n  }\n  .col-lg-12 {\n    width: 100%;\n  }\n  .col-lg-11 {\n    width: 91.66666667%;\n  }\n  .col-lg-10 {\n    width: 83.33333333%;\n  }\n  .col-lg-9 {\n    width: 75%;\n  }\n  .col-lg-8 {\n    width: 66.66666667%;\n  }\n  .col-lg-7 {\n    width: 58.33333333%;\n  }\n  .col-lg-6 {\n    width: 50%;\n  }\n  .col-lg-5 {\n    width: 41.66666667%;\n  }\n  .col-lg-4 {\n    width: 33.33333333%;\n  }\n  .col-lg-3 {\n    width: 25%;\n  }\n  .col-lg-2 {\n    width: 16.66666667%;\n  }\n  .col-lg-1 {\n    width: 8.33333333%;\n  }\n  .col-lg-pull-12 {\n    right: 100%;\n  }\n  .col-lg-pull-11 {\n    right: 91.66666667%;\n  }\n  .col-lg-pull-10 {\n    right: 83.33333333%;\n  }\n  .col-lg-pull-9 {\n    right: 75%;\n  }\n  .col-lg-pull-8 {\n    right: 66.66666667%;\n  }\n  .col-lg-pull-7 {\n    right: 58.33333333%;\n  }\n  .col-lg-pull-6 {\n    right: 50%;\n  }\n  .col-lg-pull-5 {\n    right: 41.66666667%;\n  }\n  .col-lg-pull-4 {\n    right: 33.33333333%;\n  }\n  .col-lg-pull-3 {\n    right: 25%;\n  }\n  .col-lg-pull-2 {\n    right: 16.66666667%;\n  }\n  .col-lg-pull-1 {\n    right: 8.33333333%;\n  }\n  .col-lg-pull-0 {\n    right: auto;\n  }\n  .col-lg-push-12 {\n    left: 100%;\n  }\n  .col-lg-push-11 {\n    left: 91.66666667%;\n  }\n  .col-lg-push-10 {\n    left: 83.33333333%;\n  }\n  .col-lg-push-9 {\n    left: 75%;\n  }\n  .col-lg-push-8 {\n    left: 66.66666667%;\n  }\n  .col-lg-push-7 {\n    left: 58.33333333%;\n  }\n  .col-lg-push-6 {\n    left: 50%;\n  }\n  .col-lg-push-5 {\n    left: 41.66666667%;\n  }\n  .col-lg-push-4 {\n    left: 33.33333333%;\n  }\n  .col-lg-push-3 {\n    left: 25%;\n  }\n  .col-lg-push-2 {\n    left: 16.66666667%;\n  }\n  .col-lg-push-1 {\n    left: 8.33333333%;\n  }\n  .col-lg-push-0 {\n    left: auto;\n  }\n  .col-lg-offset-12 {\n    margin-left: 100%;\n  }\n  .col-lg-offset-11 {\n    margin-left: 91.66666667%;\n  }\n  .col-lg-offset-10 {\n    margin-left: 83.33333333%;\n  }\n  .col-lg-offset-9 {\n    margin-left: 75%;\n  }\n  .col-lg-offset-8 {\n    margin-left: 66.66666667%;\n  }\n  .col-lg-offset-7 {\n    margin-left: 58.33333333%;\n  }\n  .col-lg-offset-6 {\n    margin-left: 50%;\n  }\n  .col-lg-offset-5 {\n    margin-left: 41.66666667%;\n  }\n  .col-lg-offset-4 {\n    margin-left: 33.33333333%;\n  }\n  .col-lg-offset-3 {\n    margin-left: 25%;\n  }\n  .col-lg-offset-2 {\n    margin-left: 16.66666667%;\n  }\n  .col-lg-offset-1 {\n    margin-left: 8.33333333%;\n  }\n  .col-lg-offset-0 {\n    margin-left: 0%;\n  }\n}\ntable {\n  background-color: transparent;\n}\ncaption {\n  padding-top: 8px;\n  padding-bottom: 8px;\n  color: #777777;\n  text-align: left;\n}\nth {\n  text-align: left;\n}\n.table {\n  width: 100%;\n  max-width: 100%;\n  margin-bottom: 20px;\n}\n.table > thead > tr > th,\n.table > tbody > tr > th,\n.table > tfoot > tr > th,\n.table > thead > tr > td,\n.table > tbody > tr > td,\n.table > tfoot > tr > td {\n  padding: 8px;\n  line-height: 1.42857143;\n  vertical-align: top;\n  border-top: 1px solid #dddddd;\n}\n.table > thead > tr > th {\n  vertical-align: bottom;\n  border-bottom: 2px solid #dddddd;\n}\n.table > caption + thead > tr:first-child > th,\n.table > colgroup + thead > tr:first-child > th,\n.table > thead:first-child > tr:first-child > th,\n.table > caption + thead > tr:first-child > td,\n.table > colgroup + thead > tr:first-child > td,\n.table > thead:first-child > tr:first-child > td {\n  border-top: 0;\n}\n.table > tbody + tbody {\n  border-top: 2px solid #dddddd;\n}\n.table .table {\n  background-color: #ffffff;\n}\n.table-condensed > thead > tr > th,\n.table-condensed > tbody > tr > th,\n.table-condensed > tfoot > tr > th,\n.table-condensed > thead > tr > td,\n.table-condensed > tbody > tr > td,\n.table-condensed > tfoot > tr > td {\n  padding: 5px;\n}\n.table-bordered {\n  border: 1px solid #dddddd;\n}\n.table-bordered > thead > tr > th,\n.table-bordered > tbody > tr > th,\n.table-bordered > tfoot > tr > th,\n.table-bordered > thead > tr > td,\n.table-bordered > tbody > tr > td,\n.table-bordered > tfoot > tr > td {\n  border: 1px solid #dddddd;\n}\n.table-bordered > thead > tr > th,\n.table-bordered > thead > tr > td {\n  border-bottom-width: 2px;\n}\n.table-striped > tbody > tr:nth-of-type(odd) {\n  background-color: #f9f9f9;\n}\n.table-hover > tbody > tr:hover {\n  background-color: #f5f5f5;\n}\ntable col[class*=\"col-\"] {\n  position: static;\n  float: none;\n  display: table-column;\n}\ntable td[class*=\"col-\"],\ntable th[class*=\"col-\"] {\n  position: static;\n  float: none;\n  display: table-cell;\n}\n.table > thead > tr > td.active,\n.table > tbody > tr > td.active,\n.table > tfoot > tr > td.active,\n.table > thead > tr > th.active,\n.table > tbody > tr > th.active,\n.table > tfoot > tr > th.active,\n.table > thead > tr.active > td,\n.table > tbody > tr.active > td,\n.table > tfoot > tr.active > td,\n.table > thead > tr.active > th,\n.table > tbody > tr.active > th,\n.table > tfoot > tr.active > th {\n  background-color: #f5f5f5;\n}\n.table-hover > tbody > tr > td.active:hover,\n.table-hover > tbody > tr > th.active:hover,\n.table-hover > tbody > tr.active:hover > td,\n.table-hover > tbody > tr:hover > .active,\n.table-hover > tbody > tr.active:hover > th {\n  background-color: #e8e8e8;\n}\n.table > thead > tr > td.success,\n.table > tbody > tr > td.success,\n.table > tfoot > tr > td.success,\n.table > thead > tr > th.success,\n.table > tbody > tr > th.success,\n.table > tfoot > tr > th.success,\n.table > thead > tr.success > td,\n.table > tbody > tr.success > td,\n.table > tfoot > tr.success > td,\n.table > thead > tr.success > th,\n.table > tbody > tr.success > th,\n.table > tfoot > tr.success > th {\n  background-color: #dff0d8;\n}\n.table-hover > tbody > tr > td.success:hover,\n.table-hover > tbody > tr > th.success:hover,\n.table-hover > tbody > tr.success:hover > td,\n.table-hover > tbody > tr:hover > .success,\n.table-hover > tbody > tr.success:hover > th {\n  background-color: #d0e9c6;\n}\n.table > thead > tr > td.info,\n.table > tbody > tr > td.info,\n.table > tfoot > tr > td.info,\n.table > thead > tr > th.info,\n.table > tbody > tr > th.info,\n.table > tfoot > tr > th.info,\n.table > thead > tr.info > td,\n.table > tbody > tr.info > td,\n.table > tfoot > tr.info > td,\n.table > thead > tr.info > th,\n.table > tbody > tr.info > th,\n.table > tfoot > tr.info > th {\n  background-color: #d9edf7;\n}\n.table-hover > tbody > tr > td.info:hover,\n.table-hover > tbody > tr > th.info:hover,\n.table-hover > tbody > tr.info:hover > td,\n.table-hover > tbody > tr:hover > .info,\n.table-hover > tbody > tr.info:hover > th {\n  background-color: #c4e3f3;\n}\n.table > thead > tr > td.warning,\n.table > tbody > tr > td.warning,\n.table > tfoot > tr > td.warning,\n.table > thead > tr > th.warning,\n.table > tbody > tr > th.warning,\n.table > tfoot > tr > th.warning,\n.table > thead > tr.warning > td,\n.table > tbody > tr.warning > td,\n.table > tfoot > tr.warning > td,\n.table > thead > tr.warning > th,\n.table > tbody > tr.warning > th,\n.table > tfoot > tr.warning > th {\n  background-color: #fcf8e3;\n}\n.table-hover > tbody > tr > td.warning:hover,\n.table-hover > tbody > tr > th.warning:hover,\n.table-hover > tbody > tr.warning:hover > td,\n.table-hover > tbody > tr:hover > .warning,\n.table-hover > tbody > tr.warning:hover > th {\n  background-color: #faf2cc;\n}\n.table > thead > tr > td.danger,\n.table > tbody > tr > td.danger,\n.table > tfoot > tr > td.danger,\n.table > thead > tr > th.danger,\n.table > tbody > tr > th.danger,\n.table > tfoot > tr > th.danger,\n.table > thead > tr.danger > td,\n.table > tbody > tr.danger > td,\n.table > tfoot > tr.danger > td,\n.table > thead > tr.danger > th,\n.table > tbody > tr.danger > th,\n.table > tfoot > tr.danger > th {\n  background-color: #f2dede;\n}\n.table-hover > tbody > tr > td.danger:hover,\n.table-hover > tbody > tr > th.danger:hover,\n.table-hover > tbody > tr.danger:hover > td,\n.table-hover > tbody > tr:hover > .danger,\n.table-hover > tbody > tr.danger:hover > th {\n  background-color: #ebcccc;\n}\n.table-responsive {\n  overflow-x: auto;\n  min-height: 0.01%;\n}\n@media screen and (max-width: 767px) {\n  .table-responsive {\n    width: 100%;\n    margin-bottom: 15px;\n    overflow-y: hidden;\n    -ms-overflow-style: -ms-autohiding-scrollbar;\n    border: 1px solid #dddddd;\n  }\n  .table-responsive > .table {\n    margin-bottom: 0;\n  }\n  .table-responsive > .table > thead > tr > th,\n  .table-responsive > .table > tbody > tr > th,\n  .table-responsive > .table > tfoot > tr > th,\n  .table-responsive > .table > thead > tr > td,\n  .table-responsive > .table > tbody > tr > td,\n  .table-responsive > .table > tfoot > tr > td {\n    white-space: nowrap;\n  }\n  .table-responsive > .table-bordered {\n    border: 0;\n  }\n  .table-responsive > .table-bordered > thead > tr > th:first-child,\n  .table-responsive > .table-bordered > tbody > tr > th:first-child,\n  .table-responsive > .table-bordered > tfoot > tr > th:first-child,\n  .table-responsive > .table-bordered > thead > tr > td:first-child,\n  .table-responsive > .table-bordered > tbody > tr > td:first-child,\n  .table-responsive > .table-bordered > tfoot > tr > td:first-child {\n    border-left: 0;\n  }\n  .table-responsive > .table-bordered > thead > tr > th:last-child,\n  .table-responsive > .table-bordered > tbody > tr > th:last-child,\n  .table-responsive > .table-bordered > tfoot > tr > th:last-child,\n  .table-responsive > .table-bordered > thead > tr > td:last-child,\n  .table-responsive > .table-bordered > tbody > tr > td:last-child,\n  .table-responsive > .table-bordered > tfoot > tr > td:last-child {\n    border-right: 0;\n  }\n  .table-responsive > .table-bordered > tbody > tr:last-child > th,\n  .table-responsive > .table-bordered > tfoot > tr:last-child > th,\n  .table-responsive > .table-bordered > tbody > tr:last-child > td,\n  .table-responsive > .table-bordered > tfoot > tr:last-child > td {\n    border-bottom: 0;\n  }\n}\nfieldset {\n  padding: 0;\n  margin: 0;\n  border: 0;\n  min-width: 0;\n}\nlegend {\n  display: block;\n  width: 100%;\n  padding: 0;\n  margin-bottom: 20px;\n  font-size: 21px;\n  line-height: inherit;\n  color: #333333;\n  border: 0;\n  border-bottom: 1px solid #e5e5e5;\n}\nlabel {\n  display: inline-block;\n  max-width: 100%;\n  margin-bottom: 5px;\n  font-weight: bold;\n}\ninput[type=\"search\"] {\n  -webkit-box-sizing: border-box;\n  -moz-box-sizing: border-box;\n  box-sizing: border-box;\n}\ninput[type=\"radio\"],\ninput[type=\"checkbox\"] {\n  margin: 4px 0 0;\n  margin-top: 1px \\9;\n  line-height: normal;\n}\ninput[type=\"file\"] {\n  display: block;\n}\ninput[type=\"range\"] {\n  display: block;\n  width: 100%;\n}\nselect[multiple],\nselect[size] {\n  height: auto;\n}\ninput[type=\"file\"]:focus,\ninput[type=\"radio\"]:focus,\ninput[type=\"checkbox\"]:focus {\n  outline: thin dotted;\n  outline: 5px auto -webkit-focus-ring-color;\n  outline-offset: -2px;\n}\noutput {\n  display: block;\n  padding-top: 7px;\n  font-size: 14px;\n  line-height: 1.42857143;\n  color: #555555;\n}\n.form-control {\n  display: block;\n  width: 100%;\n  height: 34px;\n  padding: 6px 12px;\n  font-size: 14px;\n  line-height: 1.42857143;\n  color: #555555;\n  background-color: #ffffff;\n  background-image: none;\n  border: 1px solid #cccccc;\n  border-radius: 4px;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;\n  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;\n  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;\n}\n.form-control:focus {\n  border-color: #66afe9;\n  outline: 0;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);\n  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);\n}\n.form-control::-moz-placeholder {\n  color: #999999;\n  opacity: 1;\n}\n.form-control:-ms-input-placeholder {\n  color: #999999;\n}\n.form-control::-webkit-input-placeholder {\n  color: #999999;\n}\n.form-control[disabled],\n.form-control[readonly],\nfieldset[disabled] .form-control {\n  background-color: #eeeeee;\n  opacity: 1;\n}\n.form-control[disabled],\nfieldset[disabled] .form-control {\n  cursor: not-allowed;\n}\ntextarea.form-control {\n  height: auto;\n}\ninput[type=\"search\"] {\n  -webkit-appearance: none;\n}\n@media screen and (-webkit-min-device-pixel-ratio: 0) {\n  input[type=\"date\"],\n  input[type=\"time\"],\n  input[type=\"datetime-local\"],\n  input[type=\"month\"] {\n    line-height: 34px;\n  }\n  input[type=\"date\"].input-sm,\n  input[type=\"time\"].input-sm,\n  input[type=\"datetime-local\"].input-sm,\n  input[type=\"month\"].input-sm,\n  .input-group-sm input[type=\"date\"],\n  .input-group-sm input[type=\"time\"],\n  .input-group-sm input[type=\"datetime-local\"],\n  .input-group-sm input[type=\"month\"] {\n    line-height: 30px;\n  }\n  input[type=\"date\"].input-lg,\n  input[type=\"time\"].input-lg,\n  input[type=\"datetime-local\"].input-lg,\n  input[type=\"month\"].input-lg,\n  .input-group-lg input[type=\"date\"],\n  .input-group-lg input[type=\"time\"],\n  .input-group-lg input[type=\"datetime-local\"],\n  .input-group-lg input[type=\"month\"] {\n    line-height: 46px;\n  }\n}\n.form-group {\n  margin-bottom: 15px;\n}\n.radio,\n.checkbox {\n  position: relative;\n  display: block;\n  margin-top: 10px;\n  margin-bottom: 10px;\n}\n.radio label,\n.checkbox label {\n  min-height: 20px;\n  padding-left: 20px;\n  margin-bottom: 0;\n  font-weight: normal;\n  cursor: pointer;\n}\n.radio input[type=\"radio\"],\n.radio-inline input[type=\"radio\"],\n.checkbox input[type=\"checkbox\"],\n.checkbox-inline input[type=\"checkbox\"] {\n  position: absolute;\n  margin-left: -20px;\n  margin-top: 4px \\9;\n}\n.radio + .radio,\n.checkbox + .checkbox {\n  margin-top: -5px;\n}\n.radio-inline,\n.checkbox-inline {\n  position: relative;\n  display: inline-block;\n  padding-left: 20px;\n  margin-bottom: 0;\n  vertical-align: middle;\n  font-weight: normal;\n  cursor: pointer;\n}\n.radio-inline + .radio-inline,\n.checkbox-inline + .checkbox-inline {\n  margin-top: 0;\n  margin-left: 10px;\n}\ninput[type=\"radio\"][disabled],\ninput[type=\"checkbox\"][disabled],\ninput[type=\"radio\"].disabled,\ninput[type=\"checkbox\"].disabled,\nfieldset[disabled] input[type=\"radio\"],\nfieldset[disabled] input[type=\"checkbox\"] {\n  cursor: not-allowed;\n}\n.radio-inline.disabled,\n.checkbox-inline.disabled,\nfieldset[disabled] .radio-inline,\nfieldset[disabled] .checkbox-inline {\n  cursor: not-allowed;\n}\n.radio.disabled label,\n.checkbox.disabled label,\nfieldset[disabled] .radio label,\nfieldset[disabled] .checkbox label {\n  cursor: not-allowed;\n}\n.form-control-static {\n  padding-top: 7px;\n  padding-bottom: 7px;\n  margin-bottom: 0;\n  min-height: 34px;\n}\n.form-control-static.input-lg,\n.form-control-static.input-sm {\n  padding-left: 0;\n  padding-right: 0;\n}\n.input-sm {\n  height: 30px;\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\nselect.input-sm {\n  height: 30px;\n  line-height: 30px;\n}\ntextarea.input-sm,\nselect[multiple].input-sm {\n  height: auto;\n}\n.form-group-sm .form-control {\n  height: 30px;\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\nselect.form-group-sm .form-control {\n  height: 30px;\n  line-height: 30px;\n}\ntextarea.form-group-sm .form-control,\nselect[multiple].form-group-sm .form-control {\n  height: auto;\n}\n.form-group-sm .form-control-static {\n  height: 30px;\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  min-height: 32px;\n}\n.input-lg {\n  height: 46px;\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  border-radius: 6px;\n}\nselect.input-lg {\n  height: 46px;\n  line-height: 46px;\n}\ntextarea.input-lg,\nselect[multiple].input-lg {\n  height: auto;\n}\n.form-group-lg .form-control {\n  height: 46px;\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  border-radius: 6px;\n}\nselect.form-group-lg .form-control {\n  height: 46px;\n  line-height: 46px;\n}\ntextarea.form-group-lg .form-control,\nselect[multiple].form-group-lg .form-control {\n  height: auto;\n}\n.form-group-lg .form-control-static {\n  height: 46px;\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  min-height: 38px;\n}\n.has-feedback {\n  position: relative;\n}\n.has-feedback .form-control {\n  padding-right: 42.5px;\n}\n.form-control-feedback {\n  position: absolute;\n  top: 0;\n  right: 0;\n  z-index: 2;\n  display: block;\n  width: 34px;\n  height: 34px;\n  line-height: 34px;\n  text-align: center;\n  pointer-events: none;\n}\n.input-lg + .form-control-feedback {\n  width: 46px;\n  height: 46px;\n  line-height: 46px;\n}\n.input-sm + .form-control-feedback {\n  width: 30px;\n  height: 30px;\n  line-height: 30px;\n}\n.has-success .help-block,\n.has-success .control-label,\n.has-success .radio,\n.has-success .checkbox,\n.has-success .radio-inline,\n.has-success .checkbox-inline,\n.has-success.radio label,\n.has-success.checkbox label,\n.has-success.radio-inline label,\n.has-success.checkbox-inline label {\n  color: #3c763d;\n}\n.has-success .form-control {\n  border-color: #3c763d;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.has-success .form-control:focus {\n  border-color: #2b542c;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;\n}\n.has-success .input-group-addon {\n  color: #3c763d;\n  border-color: #3c763d;\n  background-color: #dff0d8;\n}\n.has-success .form-control-feedback {\n  color: #3c763d;\n}\n.has-warning .help-block,\n.has-warning .control-label,\n.has-warning .radio,\n.has-warning .checkbox,\n.has-warning .radio-inline,\n.has-warning .checkbox-inline,\n.has-warning.radio label,\n.has-warning.checkbox label,\n.has-warning.radio-inline label,\n.has-warning.checkbox-inline label {\n  color: #8a6d3b;\n}\n.has-warning .form-control {\n  border-color: #8a6d3b;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.has-warning .form-control:focus {\n  border-color: #66512c;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;\n}\n.has-warning .input-group-addon {\n  color: #8a6d3b;\n  border-color: #8a6d3b;\n  background-color: #fcf8e3;\n}\n.has-warning .form-control-feedback {\n  color: #8a6d3b;\n}\n.has-error .help-block,\n.has-error .control-label,\n.has-error .radio,\n.has-error .checkbox,\n.has-error .radio-inline,\n.has-error .checkbox-inline,\n.has-error.radio label,\n.has-error.checkbox label,\n.has-error.radio-inline label,\n.has-error.checkbox-inline label {\n  color: #a94442;\n}\n.has-error .form-control {\n  border-color: #a94442;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.has-error .form-control:focus {\n  border-color: #843534;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;\n}\n.has-error .input-group-addon {\n  color: #a94442;\n  border-color: #a94442;\n  background-color: #f2dede;\n}\n.has-error .form-control-feedback {\n  color: #a94442;\n}\n.has-feedback label ~ .form-control-feedback {\n  top: 25px;\n}\n.has-feedback label.sr-only ~ .form-control-feedback {\n  top: 0;\n}\n.help-block {\n  display: block;\n  margin-top: 5px;\n  margin-bottom: 10px;\n  color: #737373;\n}\n@media (min-width: 768px) {\n  .form-inline .form-group {\n    display: inline-block;\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .form-inline .form-control {\n    display: inline-block;\n    width: auto;\n    vertical-align: middle;\n  }\n  .form-inline .form-control-static {\n    display: inline-block;\n  }\n  .form-inline .input-group {\n    display: inline-table;\n    vertical-align: middle;\n  }\n  .form-inline .input-group .input-group-addon,\n  .form-inline .input-group .input-group-btn,\n  .form-inline .input-group .form-control {\n    width: auto;\n  }\n  .form-inline .input-group > .form-control {\n    width: 100%;\n  }\n  .form-inline .control-label {\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .form-inline .radio,\n  .form-inline .checkbox {\n    display: inline-block;\n    margin-top: 0;\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .form-inline .radio label,\n  .form-inline .checkbox label {\n    padding-left: 0;\n  }\n  .form-inline .radio input[type=\"radio\"],\n  .form-inline .checkbox input[type=\"checkbox\"] {\n    position: relative;\n    margin-left: 0;\n  }\n  .form-inline .has-feedback .form-control-feedback {\n    top: 0;\n  }\n}\n.form-horizontal .radio,\n.form-horizontal .checkbox,\n.form-horizontal .radio-inline,\n.form-horizontal .checkbox-inline {\n  margin-top: 0;\n  margin-bottom: 0;\n  padding-top: 7px;\n}\n.form-horizontal .radio,\n.form-horizontal .checkbox {\n  min-height: 27px;\n}\n.form-horizontal .form-group {\n  margin-left: -15px;\n  margin-right: -15px;\n}\n@media (min-width: 768px) {\n  .form-horizontal .control-label {\n    text-align: right;\n    margin-bottom: 0;\n    padding-top: 7px;\n  }\n}\n.form-horizontal .has-feedback .form-control-feedback {\n  right: 15px;\n}\n@media (min-width: 768px) {\n  .form-horizontal .form-group-lg .control-label {\n    padding-top: 14.333333px;\n  }\n}\n@media (min-width: 768px) {\n  .form-horizontal .form-group-sm .control-label {\n    padding-top: 6px;\n  }\n}\n.btn {\n  display: inline-block;\n  margin-bottom: 0;\n  font-weight: normal;\n  text-align: center;\n  vertical-align: middle;\n  touch-action: manipulation;\n  cursor: pointer;\n  background-image: none;\n  border: 1px solid transparent;\n  white-space: nowrap;\n  padding: 6px 12px;\n  font-size: 14px;\n  line-height: 1.42857143;\n  border-radius: 4px;\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n.btn:focus,\n.btn:active:focus,\n.btn.active:focus,\n.btn.focus,\n.btn:active.focus,\n.btn.active.focus {\n  outline: thin dotted;\n  outline: 5px auto -webkit-focus-ring-color;\n  outline-offset: -2px;\n}\n.btn:hover,\n.btn:focus,\n.btn.focus {\n  color: #333333;\n  text-decoration: none;\n}\n.btn:active,\n.btn.active {\n  outline: 0;\n  background-image: none;\n  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n}\n.btn.disabled,\n.btn[disabled],\nfieldset[disabled] .btn {\n  cursor: not-allowed;\n  pointer-events: none;\n  opacity: 0.65;\n  filter: alpha(opacity=65);\n  -webkit-box-shadow: none;\n  box-shadow: none;\n}\n.btn-default {\n  color: #333333;\n  background-color: #ffffff;\n  border-color: #cccccc;\n}\n.btn-default:hover,\n.btn-default:focus,\n.btn-default.focus,\n.btn-default:active,\n.btn-default.active,\n.open > .dropdown-toggle.btn-default {\n  color: #333333;\n  background-color: #e6e6e6;\n  border-color: #adadad;\n}\n.btn-default:active,\n.btn-default.active,\n.open > .dropdown-toggle.btn-default {\n  background-image: none;\n}\n.btn-default.disabled,\n.btn-default[disabled],\nfieldset[disabled] .btn-default,\n.btn-default.disabled:hover,\n.btn-default[disabled]:hover,\nfieldset[disabled] .btn-default:hover,\n.btn-default.disabled:focus,\n.btn-default[disabled]:focus,\nfieldset[disabled] .btn-default:focus,\n.btn-default.disabled.focus,\n.btn-default[disabled].focus,\nfieldset[disabled] .btn-default.focus,\n.btn-default.disabled:active,\n.btn-default[disabled]:active,\nfieldset[disabled] .btn-default:active,\n.btn-default.disabled.active,\n.btn-default[disabled].active,\nfieldset[disabled] .btn-default.active {\n  background-color: #ffffff;\n  border-color: #cccccc;\n}\n.btn-default .badge {\n  color: #ffffff;\n  background-color: #333333;\n}\n.btn-primary {\n  color: #ffffff;\n  background-color: #337ab7;\n  border-color: #2e6da4;\n}\n.btn-primary:hover,\n.btn-primary:focus,\n.btn-primary.focus,\n.btn-primary:active,\n.btn-primary.active,\n.open > .dropdown-toggle.btn-primary {\n  color: #ffffff;\n  background-color: #286090;\n  border-color: #204d74;\n}\n.btn-primary:active,\n.btn-primary.active,\n.open > .dropdown-toggle.btn-primary {\n  background-image: none;\n}\n.btn-primary.disabled,\n.btn-primary[disabled],\nfieldset[disabled] .btn-primary,\n.btn-primary.disabled:hover,\n.btn-primary[disabled]:hover,\nfieldset[disabled] .btn-primary:hover,\n.btn-primary.disabled:focus,\n.btn-primary[disabled]:focus,\nfieldset[disabled] .btn-primary:focus,\n.btn-primary.disabled.focus,\n.btn-primary[disabled].focus,\nfieldset[disabled] .btn-primary.focus,\n.btn-primary.disabled:active,\n.btn-primary[disabled]:active,\nfieldset[disabled] .btn-primary:active,\n.btn-primary.disabled.active,\n.btn-primary[disabled].active,\nfieldset[disabled] .btn-primary.active {\n  background-color: #337ab7;\n  border-color: #2e6da4;\n}\n.btn-primary .badge {\n  color: #337ab7;\n  background-color: #ffffff;\n}\n.btn-success {\n  color: #ffffff;\n  background-color: #5cb85c;\n  border-color: #4cae4c;\n}\n.btn-success:hover,\n.btn-success:focus,\n.btn-success.focus,\n.btn-success:active,\n.btn-success.active,\n.open > .dropdown-toggle.btn-success {\n  color: #ffffff;\n  background-color: #449d44;\n  border-color: #398439;\n}\n.btn-success:active,\n.btn-success.active,\n.open > .dropdown-toggle.btn-success {\n  background-image: none;\n}\n.btn-success.disabled,\n.btn-success[disabled],\nfieldset[disabled] .btn-success,\n.btn-success.disabled:hover,\n.btn-success[disabled]:hover,\nfieldset[disabled] .btn-success:hover,\n.btn-success.disabled:focus,\n.btn-success[disabled]:focus,\nfieldset[disabled] .btn-success:focus,\n.btn-success.disabled.focus,\n.btn-success[disabled].focus,\nfieldset[disabled] .btn-success.focus,\n.btn-success.disabled:active,\n.btn-success[disabled]:active,\nfieldset[disabled] .btn-success:active,\n.btn-success.disabled.active,\n.btn-success[disabled].active,\nfieldset[disabled] .btn-success.active {\n  background-color: #5cb85c;\n  border-color: #4cae4c;\n}\n.btn-success .badge {\n  color: #5cb85c;\n  background-color: #ffffff;\n}\n.btn-info {\n  color: #ffffff;\n  background-color: #5bc0de;\n  border-color: #46b8da;\n}\n.btn-info:hover,\n.btn-info:focus,\n.btn-info.focus,\n.btn-info:active,\n.btn-info.active,\n.open > .dropdown-toggle.btn-info {\n  color: #ffffff;\n  background-color: #31b0d5;\n  border-color: #269abc;\n}\n.btn-info:active,\n.btn-info.active,\n.open > .dropdown-toggle.btn-info {\n  background-image: none;\n}\n.btn-info.disabled,\n.btn-info[disabled],\nfieldset[disabled] .btn-info,\n.btn-info.disabled:hover,\n.btn-info[disabled]:hover,\nfieldset[disabled] .btn-info:hover,\n.btn-info.disabled:focus,\n.btn-info[disabled]:focus,\nfieldset[disabled] .btn-info:focus,\n.btn-info.disabled.focus,\n.btn-info[disabled].focus,\nfieldset[disabled] .btn-info.focus,\n.btn-info.disabled:active,\n.btn-info[disabled]:active,\nfieldset[disabled] .btn-info:active,\n.btn-info.disabled.active,\n.btn-info[disabled].active,\nfieldset[disabled] .btn-info.active {\n  background-color: #5bc0de;\n  border-color: #46b8da;\n}\n.btn-info .badge {\n  color: #5bc0de;\n  background-color: #ffffff;\n}\n.btn-warning {\n  color: #ffffff;\n  background-color: #f0ad4e;\n  border-color: #eea236;\n}\n.btn-warning:hover,\n.btn-warning:focus,\n.btn-warning.focus,\n.btn-warning:active,\n.btn-warning.active,\n.open > .dropdown-toggle.btn-warning {\n  color: #ffffff;\n  background-color: #ec971f;\n  border-color: #d58512;\n}\n.btn-warning:active,\n.btn-warning.active,\n.open > .dropdown-toggle.btn-warning {\n  background-image: none;\n}\n.btn-warning.disabled,\n.btn-warning[disabled],\nfieldset[disabled] .btn-warning,\n.btn-warning.disabled:hover,\n.btn-warning[disabled]:hover,\nfieldset[disabled] .btn-warning:hover,\n.btn-warning.disabled:focus,\n.btn-warning[disabled]:focus,\nfieldset[disabled] .btn-warning:focus,\n.btn-warning.disabled.focus,\n.btn-warning[disabled].focus,\nfieldset[disabled] .btn-warning.focus,\n.btn-warning.disabled:active,\n.btn-warning[disabled]:active,\nfieldset[disabled] .btn-warning:active,\n.btn-warning.disabled.active,\n.btn-warning[disabled].active,\nfieldset[disabled] .btn-warning.active {\n  background-color: #f0ad4e;\n  border-color: #eea236;\n}\n.btn-warning .badge {\n  color: #f0ad4e;\n  background-color: #ffffff;\n}\n.btn-danger {\n  color: #ffffff;\n  background-color: #d9534f;\n  border-color: #d43f3a;\n}\n.btn-danger:hover,\n.btn-danger:focus,\n.btn-danger.focus,\n.btn-danger:active,\n.btn-danger.active,\n.open > .dropdown-toggle.btn-danger {\n  color: #ffffff;\n  background-color: #c9302c;\n  border-color: #ac2925;\n}\n.btn-danger:active,\n.btn-danger.active,\n.open > .dropdown-toggle.btn-danger {\n  background-image: none;\n}\n.btn-danger.disabled,\n.btn-danger[disabled],\nfieldset[disabled] .btn-danger,\n.btn-danger.disabled:hover,\n.btn-danger[disabled]:hover,\nfieldset[disabled] .btn-danger:hover,\n.btn-danger.disabled:focus,\n.btn-danger[disabled]:focus,\nfieldset[disabled] .btn-danger:focus,\n.btn-danger.disabled.focus,\n.btn-danger[disabled].focus,\nfieldset[disabled] .btn-danger.focus,\n.btn-danger.disabled:active,\n.btn-danger[disabled]:active,\nfieldset[disabled] .btn-danger:active,\n.btn-danger.disabled.active,\n.btn-danger[disabled].active,\nfieldset[disabled] .btn-danger.active {\n  background-color: #d9534f;\n  border-color: #d43f3a;\n}\n.btn-danger .badge {\n  color: #d9534f;\n  background-color: #ffffff;\n}\n.btn-link {\n  color: #337ab7;\n  font-weight: normal;\n  border-radius: 0;\n}\n.btn-link,\n.btn-link:active,\n.btn-link.active,\n.btn-link[disabled],\nfieldset[disabled] .btn-link {\n  background-color: transparent;\n  -webkit-box-shadow: none;\n  box-shadow: none;\n}\n.btn-link,\n.btn-link:hover,\n.btn-link:focus,\n.btn-link:active {\n  border-color: transparent;\n}\n.btn-link:hover,\n.btn-link:focus {\n  color: #23527c;\n  text-decoration: underline;\n  background-color: transparent;\n}\n.btn-link[disabled]:hover,\nfieldset[disabled] .btn-link:hover,\n.btn-link[disabled]:focus,\nfieldset[disabled] .btn-link:focus {\n  color: #777777;\n  text-decoration: none;\n}\n.btn-lg,\n.btn-group-lg > .btn {\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  border-radius: 6px;\n}\n.btn-sm,\n.btn-group-sm > .btn {\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\n.btn-xs,\n.btn-group-xs > .btn {\n  padding: 1px 5px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\n.btn-block {\n  display: block;\n  width: 100%;\n}\n.btn-block + .btn-block {\n  margin-top: 5px;\n}\ninput[type=\"submit\"].btn-block,\ninput[type=\"reset\"].btn-block,\ninput[type=\"button\"].btn-block {\n  width: 100%;\n}\n.fade {\n  opacity: 0;\n  -webkit-transition: opacity 0.15s linear;\n  -o-transition: opacity 0.15s linear;\n  transition: opacity 0.15s linear;\n}\n.fade.in {\n  opacity: 1;\n}\n.collapse {\n  display: none;\n}\n.collapse.in {\n  display: block;\n}\ntr.collapse.in {\n  display: table-row;\n}\ntbody.collapse.in {\n  display: table-row-group;\n}\n.collapsing {\n  position: relative;\n  height: 0;\n  overflow: hidden;\n  -webkit-transition-property: height, visibility;\n  transition-property: height, visibility;\n  -webkit-transition-duration: 0.35s;\n  transition-duration: 0.35s;\n  -webkit-transition-timing-function: ease;\n  transition-timing-function: ease;\n}\n.caret {\n  display: inline-block;\n  width: 0;\n  height: 0;\n  margin-left: 2px;\n  vertical-align: middle;\n  border-top: 4px dashed;\n  border-right: 4px solid transparent;\n  border-left: 4px solid transparent;\n}\n.dropup,\n.dropdown {\n  position: relative;\n}\n.dropdown-toggle:focus {\n  outline: 0;\n}\n.dropdown-menu {\n  position: absolute;\n  top: 100%;\n  left: 0;\n  z-index: 1000;\n  display: none;\n  float: left;\n  min-width: 160px;\n  padding: 5px 0;\n  margin: 2px 0 0;\n  list-style: none;\n  font-size: 14px;\n  text-align: left;\n  background-color: #ffffff;\n  border: 1px solid #cccccc;\n  border: 1px solid rgba(0, 0, 0, 0.15);\n  border-radius: 4px;\n  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\n  background-clip: padding-box;\n}\n.dropdown-menu.pull-right {\n  right: 0;\n  left: auto;\n}\n.dropdown-menu .divider {\n  height: 1px;\n  margin: 9px 0;\n  overflow: hidden;\n  background-color: #e5e5e5;\n}\n.dropdown-menu > li > a {\n  display: block;\n  padding: 3px 20px;\n  clear: both;\n  font-weight: normal;\n  line-height: 1.42857143;\n  color: #333333;\n  white-space: nowrap;\n}\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n  text-decoration: none;\n  color: #262626;\n  background-color: #f5f5f5;\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n  color: #ffffff;\n  text-decoration: none;\n  outline: 0;\n  background-color: #337ab7;\n}\n.dropdown-menu > .disabled > a,\n.dropdown-menu > .disabled > a:hover,\n.dropdown-menu > .disabled > a:focus {\n  color: #777777;\n}\n.dropdown-menu > .disabled > a:hover,\n.dropdown-menu > .disabled > a:focus {\n  text-decoration: none;\n  background-color: transparent;\n  background-image: none;\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  cursor: not-allowed;\n}\n.open > .dropdown-menu {\n  display: block;\n}\n.open > a {\n  outline: 0;\n}\n.dropdown-menu-right {\n  left: auto;\n  right: 0;\n}\n.dropdown-menu-left {\n  left: 0;\n  right: auto;\n}\n.dropdown-header {\n  display: block;\n  padding: 3px 20px;\n  font-size: 12px;\n  line-height: 1.42857143;\n  color: #777777;\n  white-space: nowrap;\n}\n.dropdown-backdrop {\n  position: fixed;\n  left: 0;\n  right: 0;\n  bottom: 0;\n  top: 0;\n  z-index: 990;\n}\n.pull-right > .dropdown-menu {\n  right: 0;\n  left: auto;\n}\n.dropup .caret,\n.navbar-fixed-bottom .dropdown .caret {\n  border-top: 0;\n  border-bottom: 4px solid;\n  content: \"\";\n}\n.dropup .dropdown-menu,\n.navbar-fixed-bottom .dropdown .dropdown-menu {\n  top: auto;\n  bottom: 100%;\n  margin-bottom: 2px;\n}\n@media (min-width: 768px) {\n  .navbar-right .dropdown-menu {\n    left: auto;\n    right: 0;\n  }\n  .navbar-right .dropdown-menu-left {\n    left: 0;\n    right: auto;\n  }\n}\n.btn-group,\n.btn-group-vertical {\n  position: relative;\n  display: inline-block;\n  vertical-align: middle;\n}\n.btn-group > .btn,\n.btn-group-vertical > .btn {\n  position: relative;\n  float: left;\n}\n.btn-group > .btn:hover,\n.btn-group-vertical > .btn:hover,\n.btn-group > .btn:focus,\n.btn-group-vertical > .btn:focus,\n.btn-group > .btn:active,\n.btn-group-vertical > .btn:active,\n.btn-group > .btn.active,\n.btn-group-vertical > .btn.active {\n  z-index: 2;\n}\n.btn-group .btn + .btn,\n.btn-group .btn + .btn-group,\n.btn-group .btn-group + .btn,\n.btn-group .btn-group + .btn-group {\n  margin-left: -1px;\n}\n.btn-toolbar {\n  margin-left: -5px;\n}\n.btn-toolbar .btn-group,\n.btn-toolbar .input-group {\n  float: left;\n}\n.btn-toolbar > .btn,\n.btn-toolbar > .btn-group,\n.btn-toolbar > .input-group {\n  margin-left: 5px;\n}\n.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {\n  border-radius: 0;\n}\n.btn-group > .btn:first-child {\n  margin-left: 0;\n}\n.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {\n  border-bottom-right-radius: 0;\n  border-top-right-radius: 0;\n}\n.btn-group > .btn:last-child:not(:first-child),\n.btn-group > .dropdown-toggle:not(:first-child) {\n  border-bottom-left-radius: 0;\n  border-top-left-radius: 0;\n}\n.btn-group > .btn-group {\n  float: left;\n}\n.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {\n  border-radius: 0;\n}\n.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,\n.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {\n  border-bottom-right-radius: 0;\n  border-top-right-radius: 0;\n}\n.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {\n  border-bottom-left-radius: 0;\n  border-top-left-radius: 0;\n}\n.btn-group .dropdown-toggle:active,\n.btn-group.open .dropdown-toggle {\n  outline: 0;\n}\n.btn-group > .btn + .dropdown-toggle {\n  padding-left: 8px;\n  padding-right: 8px;\n}\n.btn-group > .btn-lg + .dropdown-toggle {\n  padding-left: 12px;\n  padding-right: 12px;\n}\n.btn-group.open .dropdown-toggle {\n  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n}\n.btn-group.open .dropdown-toggle.btn-link {\n  -webkit-box-shadow: none;\n  box-shadow: none;\n}\n.btn .caret {\n  margin-left: 0;\n}\n.btn-lg .caret {\n  border-width: 5px 5px 0;\n  border-bottom-width: 0;\n}\n.dropup .btn-lg .caret {\n  border-width: 0 5px 5px;\n}\n.btn-group-vertical > .btn,\n.btn-group-vertical > .btn-group,\n.btn-group-vertical > .btn-group > .btn {\n  display: block;\n  float: none;\n  width: 100%;\n  max-width: 100%;\n}\n.btn-group-vertical > .btn-group > .btn {\n  float: none;\n}\n.btn-group-vertical > .btn + .btn,\n.btn-group-vertical > .btn + .btn-group,\n.btn-group-vertical > .btn-group + .btn,\n.btn-group-vertical > .btn-group + .btn-group {\n  margin-top: -1px;\n  margin-left: 0;\n}\n.btn-group-vertical > .btn:not(:first-child):not(:last-child) {\n  border-radius: 0;\n}\n.btn-group-vertical > .btn:first-child:not(:last-child) {\n  border-top-right-radius: 4px;\n  border-bottom-right-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.btn-group-vertical > .btn:last-child:not(:first-child) {\n  border-bottom-left-radius: 4px;\n  border-top-right-radius: 0;\n  border-top-left-radius: 0;\n}\n.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {\n  border-radius: 0;\n}\n.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,\n.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {\n  border-bottom-right-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {\n  border-top-right-radius: 0;\n  border-top-left-radius: 0;\n}\n.btn-group-justified {\n  display: table;\n  width: 100%;\n  table-layout: fixed;\n  border-collapse: separate;\n}\n.btn-group-justified > .btn,\n.btn-group-justified > .btn-group {\n  float: none;\n  display: table-cell;\n  width: 1%;\n}\n.btn-group-justified > .btn-group .btn {\n  width: 100%;\n}\n.btn-group-justified > .btn-group .dropdown-menu {\n  left: auto;\n}\n[data-toggle=\"buttons\"] > .btn input[type=\"radio\"],\n[data-toggle=\"buttons\"] > .btn-group > .btn input[type=\"radio\"],\n[data-toggle=\"buttons\"] > .btn input[type=\"checkbox\"],\n[data-toggle=\"buttons\"] > .btn-group > .btn input[type=\"checkbox\"] {\n  position: absolute;\n  clip: rect(0, 0, 0, 0);\n  pointer-events: none;\n}\n.input-group {\n  position: relative;\n  display: table;\n  border-collapse: separate;\n}\n.input-group[class*=\"col-\"] {\n  float: none;\n  padding-left: 0;\n  padding-right: 0;\n}\n.input-group .form-control {\n  position: relative;\n  z-index: 2;\n  float: left;\n  width: 100%;\n  margin-bottom: 0;\n}\n.input-group-lg > .form-control,\n.input-group-lg > .input-group-addon,\n.input-group-lg > .input-group-btn > .btn {\n  height: 46px;\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  border-radius: 6px;\n}\nselect.input-group-lg > .form-control,\nselect.input-group-lg > .input-group-addon,\nselect.input-group-lg > .input-group-btn > .btn {\n  height: 46px;\n  line-height: 46px;\n}\ntextarea.input-group-lg > .form-control,\ntextarea.input-group-lg > .input-group-addon,\ntextarea.input-group-lg > .input-group-btn > .btn,\nselect[multiple].input-group-lg > .form-control,\nselect[multiple].input-group-lg > .input-group-addon,\nselect[multiple].input-group-lg > .input-group-btn > .btn {\n  height: auto;\n}\n.input-group-sm > .form-control,\n.input-group-sm > .input-group-addon,\n.input-group-sm > .input-group-btn > .btn {\n  height: 30px;\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\nselect.input-group-sm > .form-control,\nselect.input-group-sm > .input-group-addon,\nselect.input-group-sm > .input-group-btn > .btn {\n  height: 30px;\n  line-height: 30px;\n}\ntextarea.input-group-sm > .form-control,\ntextarea.input-group-sm > .input-group-addon,\ntextarea.input-group-sm > .input-group-btn > .btn,\nselect[multiple].input-group-sm > .form-control,\nselect[multiple].input-group-sm > .input-group-addon,\nselect[multiple].input-group-sm > .input-group-btn > .btn {\n  height: auto;\n}\n.input-group-addon,\n.input-group-btn,\n.input-group .form-control {\n  display: table-cell;\n}\n.input-group-addon:not(:first-child):not(:last-child),\n.input-group-btn:not(:first-child):not(:last-child),\n.input-group .form-control:not(:first-child):not(:last-child) {\n  border-radius: 0;\n}\n.input-group-addon,\n.input-group-btn {\n  width: 1%;\n  white-space: nowrap;\n  vertical-align: middle;\n}\n.input-group-addon {\n  padding: 6px 12px;\n  font-size: 14px;\n  font-weight: normal;\n  line-height: 1;\n  color: #555555;\n  text-align: center;\n  background-color: #eeeeee;\n  border: 1px solid #cccccc;\n  border-radius: 4px;\n}\n.input-group-addon.input-sm {\n  padding: 5px 10px;\n  font-size: 12px;\n  border-radius: 3px;\n}\n.input-group-addon.input-lg {\n  padding: 10px 16px;\n  font-size: 18px;\n  border-radius: 6px;\n}\n.input-group-addon input[type=\"radio\"],\n.input-group-addon input[type=\"checkbox\"] {\n  margin-top: 0;\n}\n.input-group .form-control:first-child,\n.input-group-addon:first-child,\n.input-group-btn:first-child > .btn,\n.input-group-btn:first-child > .btn-group > .btn,\n.input-group-btn:first-child > .dropdown-toggle,\n.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),\n.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {\n  border-bottom-right-radius: 0;\n  border-top-right-radius: 0;\n}\n.input-group-addon:first-child {\n  border-right: 0;\n}\n.input-group .form-control:last-child,\n.input-group-addon:last-child,\n.input-group-btn:last-child > .btn,\n.input-group-btn:last-child > .btn-group > .btn,\n.input-group-btn:last-child > .dropdown-toggle,\n.input-group-btn:first-child > .btn:not(:first-child),\n.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {\n  border-bottom-left-radius: 0;\n  border-top-left-radius: 0;\n}\n.input-group-addon:last-child {\n  border-left: 0;\n}\n.input-group-btn {\n  position: relative;\n  font-size: 0;\n  white-space: nowrap;\n}\n.input-group-btn > .btn {\n  position: relative;\n}\n.input-group-btn > .btn + .btn {\n  margin-left: -1px;\n}\n.input-group-btn > .btn:hover,\n.input-group-btn > .btn:focus,\n.input-group-btn > .btn:active {\n  z-index: 2;\n}\n.input-group-btn:first-child > .btn,\n.input-group-btn:first-child > .btn-group {\n  margin-right: -1px;\n}\n.input-group-btn:last-child > .btn,\n.input-group-btn:last-child > .btn-group {\n  margin-left: -1px;\n}\n.nav {\n  margin-bottom: 0;\n  padding-left: 0;\n  list-style: none;\n}\n.nav > li {\n  position: relative;\n  display: block;\n}\n.nav > li > a {\n  position: relative;\n  display: block;\n  padding: 10px 15px;\n}\n.nav > li > a:hover,\n.nav > li > a:focus {\n  text-decoration: none;\n  background-color: #eeeeee;\n}\n.nav > li.disabled > a {\n  color: #777777;\n}\n.nav > li.disabled > a:hover,\n.nav > li.disabled > a:focus {\n  color: #777777;\n  text-decoration: none;\n  background-color: transparent;\n  cursor: not-allowed;\n}\n.nav .open > a,\n.nav .open > a:hover,\n.nav .open > a:focus {\n  background-color: #eeeeee;\n  border-color: #337ab7;\n}\n.nav .nav-divider {\n  height: 1px;\n  margin: 9px 0;\n  overflow: hidden;\n  background-color: #e5e5e5;\n}\n.nav > li > a > img {\n  max-width: none;\n}\n.nav-tabs {\n  border-bottom: 1px solid #dddddd;\n}\n.nav-tabs > li {\n  float: left;\n  margin-bottom: -1px;\n}\n.nav-tabs > li > a {\n  margin-right: 2px;\n  line-height: 1.42857143;\n  border: 1px solid transparent;\n  border-radius: 4px 4px 0 0;\n}\n.nav-tabs > li > a:hover {\n  border-color: #eeeeee #eeeeee #dddddd;\n}\n.nav-tabs > li.active > a,\n.nav-tabs > li.active > a:hover,\n.nav-tabs > li.active > a:focus {\n  color: #555555;\n  background-color: #ffffff;\n  border: 1px solid #dddddd;\n  border-bottom-color: transparent;\n  cursor: default;\n}\n.nav-tabs.nav-justified {\n  width: 100%;\n  border-bottom: 0;\n}\n.nav-tabs.nav-justified > li {\n  float: none;\n}\n.nav-tabs.nav-justified > li > a {\n  text-align: center;\n  margin-bottom: 5px;\n}\n.nav-tabs.nav-justified > .dropdown .dropdown-menu {\n  top: auto;\n  left: auto;\n}\n@media (min-width: 768px) {\n  .nav-tabs.nav-justified > li {\n    display: table-cell;\n    width: 1%;\n  }\n  .nav-tabs.nav-justified > li > a {\n    margin-bottom: 0;\n  }\n}\n.nav-tabs.nav-justified > li > a {\n  margin-right: 0;\n  border-radius: 4px;\n}\n.nav-tabs.nav-justified > .active > a,\n.nav-tabs.nav-justified > .active > a:hover,\n.nav-tabs.nav-justified > .active > a:focus {\n  border: 1px solid #dddddd;\n}\n@media (min-width: 768px) {\n  .nav-tabs.nav-justified > li > a {\n    border-bottom: 1px solid #dddddd;\n    border-radius: 4px 4px 0 0;\n  }\n  .nav-tabs.nav-justified > .active > a,\n  .nav-tabs.nav-justified > .active > a:hover,\n  .nav-tabs.nav-justified > .active > a:focus {\n    border-bottom-color: #ffffff;\n  }\n}\n.nav-pills > li {\n  float: left;\n}\n.nav-pills > li > a {\n  border-radius: 4px;\n}\n.nav-pills > li + li {\n  margin-left: 2px;\n}\n.nav-pills > li.active > a,\n.nav-pills > li.active > a:hover,\n.nav-pills > li.active > a:focus {\n  color: #ffffff;\n  background-color: #337ab7;\n}\n.nav-stacked > li {\n  float: none;\n}\n.nav-stacked > li + li {\n  margin-top: 2px;\n  margin-left: 0;\n}\n.nav-justified {\n  width: 100%;\n}\n.nav-justified > li {\n  float: none;\n}\n.nav-justified > li > a {\n  text-align: center;\n  margin-bottom: 5px;\n}\n.nav-justified > .dropdown .dropdown-menu {\n  top: auto;\n  left: auto;\n}\n@media (min-width: 768px) {\n  .nav-justified > li {\n    display: table-cell;\n    width: 1%;\n  }\n  .nav-justified > li > a {\n    margin-bottom: 0;\n  }\n}\n.nav-tabs-justified {\n  border-bottom: 0;\n}\n.nav-tabs-justified > li > a {\n  margin-right: 0;\n  border-radius: 4px;\n}\n.nav-tabs-justified > .active > a,\n.nav-tabs-justified > .active > a:hover,\n.nav-tabs-justified > .active > a:focus {\n  border: 1px solid #dddddd;\n}\n@media (min-width: 768px) {\n  .nav-tabs-justified > li > a {\n    border-bottom: 1px solid #dddddd;\n    border-radius: 4px 4px 0 0;\n  }\n  .nav-tabs-justified > .active > a,\n  .nav-tabs-justified > .active > a:hover,\n  .nav-tabs-justified > .active > a:focus {\n    border-bottom-color: #ffffff;\n  }\n}\n.tab-content > .tab-pane {\n  display: none;\n}\n.tab-content > .active {\n  display: block;\n}\n.nav-tabs .dropdown-menu {\n  margin-top: -1px;\n  border-top-right-radius: 0;\n  border-top-left-radius: 0;\n}\n.navbar {\n  position: relative;\n  min-height: 50px;\n  margin-bottom: 20px;\n  border: 1px solid transparent;\n}\n@media (min-width: 768px) {\n  .navbar {\n    border-radius: 4px;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-header {\n    float: left;\n  }\n}\n.navbar-collapse {\n  overflow-x: visible;\n  padding-right: 15px;\n  padding-left: 15px;\n  border-top: 1px solid transparent;\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);\n  -webkit-overflow-scrolling: touch;\n}\n.navbar-collapse.in {\n  overflow-y: auto;\n}\n@media (min-width: 768px) {\n  .navbar-collapse {\n    width: auto;\n    border-top: 0;\n    box-shadow: none;\n  }\n  .navbar-collapse.collapse {\n    display: block !important;\n    height: auto !important;\n    padding-bottom: 0;\n    overflow: visible !important;\n  }\n  .navbar-collapse.in {\n    overflow-y: visible;\n  }\n  .navbar-fixed-top .navbar-collapse,\n  .navbar-static-top .navbar-collapse,\n  .navbar-fixed-bottom .navbar-collapse {\n    padding-left: 0;\n    padding-right: 0;\n  }\n}\n.navbar-fixed-top .navbar-collapse,\n.navbar-fixed-bottom .navbar-collapse {\n  max-height: 340px;\n}\n@media (max-device-width: 480px) and (orientation: landscape) {\n  .navbar-fixed-top .navbar-collapse,\n  .navbar-fixed-bottom .navbar-collapse {\n    max-height: 200px;\n  }\n}\n.container > .navbar-header,\n.container-fluid > .navbar-header,\n.container > .navbar-collapse,\n.container-fluid > .navbar-collapse {\n  margin-right: -15px;\n  margin-left: -15px;\n}\n@media (min-width: 768px) {\n  .container > .navbar-header,\n  .container-fluid > .navbar-header,\n  .container > .navbar-collapse,\n  .container-fluid > .navbar-collapse {\n    margin-right: 0;\n    margin-left: 0;\n  }\n}\n.navbar-static-top {\n  z-index: 1000;\n  border-width: 0 0 1px;\n}\n@media (min-width: 768px) {\n  .navbar-static-top {\n    border-radius: 0;\n  }\n}\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n  position: fixed;\n  right: 0;\n  left: 0;\n  z-index: 1030;\n}\n@media (min-width: 768px) {\n  .navbar-fixed-top,\n  .navbar-fixed-bottom {\n    border-radius: 0;\n  }\n}\n.navbar-fixed-top {\n  top: 0;\n  border-width: 0 0 1px;\n}\n.navbar-fixed-bottom {\n  bottom: 0;\n  margin-bottom: 0;\n  border-width: 1px 0 0;\n}\n.navbar-brand {\n  float: left;\n  padding: 15px 15px;\n  font-size: 18px;\n  line-height: 20px;\n  height: 50px;\n}\n.navbar-brand:hover,\n.navbar-brand:focus {\n  text-decoration: none;\n}\n.navbar-brand > img {\n  display: block;\n}\n@media (min-width: 768px) {\n  .navbar > .container .navbar-brand,\n  .navbar > .container-fluid .navbar-brand {\n    margin-left: -15px;\n  }\n}\n.navbar-toggle {\n  position: relative;\n  float: right;\n  margin-right: 15px;\n  padding: 9px 10px;\n  margin-top: 8px;\n  margin-bottom: 8px;\n  background-color: transparent;\n  background-image: none;\n  border: 1px solid transparent;\n  border-radius: 4px;\n}\n.navbar-toggle:focus {\n  outline: 0;\n}\n.navbar-toggle .icon-bar {\n  display: block;\n  width: 22px;\n  height: 2px;\n  border-radius: 1px;\n}\n.navbar-toggle .icon-bar + .icon-bar {\n  margin-top: 4px;\n}\n@media (min-width: 768px) {\n  .navbar-toggle {\n    display: none;\n  }\n}\n.navbar-nav {\n  margin: 7.5px -15px;\n}\n.navbar-nav > li > a {\n  padding-top: 10px;\n  padding-bottom: 10px;\n  line-height: 20px;\n}\n@media (max-width: 767px) {\n  .navbar-nav .open .dropdown-menu {\n    position: static;\n    float: none;\n    width: auto;\n    margin-top: 0;\n    background-color: transparent;\n    border: 0;\n    box-shadow: none;\n  }\n  .navbar-nav .open .dropdown-menu > li > a,\n  .navbar-nav .open .dropdown-menu .dropdown-header {\n    padding: 5px 15px 5px 25px;\n  }\n  .navbar-nav .open .dropdown-menu > li > a {\n    line-height: 20px;\n  }\n  .navbar-nav .open .dropdown-menu > li > a:hover,\n  .navbar-nav .open .dropdown-menu > li > a:focus {\n    background-image: none;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-nav {\n    float: left;\n    margin: 0;\n  }\n  .navbar-nav > li {\n    float: left;\n  }\n  .navbar-nav > li > a {\n    padding-top: 15px;\n    padding-bottom: 15px;\n  }\n}\n.navbar-form {\n  margin-left: -15px;\n  margin-right: -15px;\n  padding: 10px 15px;\n  border-top: 1px solid transparent;\n  border-bottom: 1px solid transparent;\n  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);\n  margin-top: 8px;\n  margin-bottom: 8px;\n}\n@media (min-width: 768px) {\n  .navbar-form .form-group {\n    display: inline-block;\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .navbar-form .form-control {\n    display: inline-block;\n    width: auto;\n    vertical-align: middle;\n  }\n  .navbar-form .form-control-static {\n    display: inline-block;\n  }\n  .navbar-form .input-group {\n    display: inline-table;\n    vertical-align: middle;\n  }\n  .navbar-form .input-group .input-group-addon,\n  .navbar-form .input-group .input-group-btn,\n  .navbar-form .input-group .form-control {\n    width: auto;\n  }\n  .navbar-form .input-group > .form-control {\n    width: 100%;\n  }\n  .navbar-form .control-label {\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .navbar-form .radio,\n  .navbar-form .checkbox {\n    display: inline-block;\n    margin-top: 0;\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .navbar-form .radio label,\n  .navbar-form .checkbox label {\n    padding-left: 0;\n  }\n  .navbar-form .radio input[type=\"radio\"],\n  .navbar-form .checkbox input[type=\"checkbox\"] {\n    position: relative;\n    margin-left: 0;\n  }\n  .navbar-form .has-feedback .form-control-feedback {\n    top: 0;\n  }\n}\n@media (max-width: 767px) {\n  .navbar-form .form-group {\n    margin-bottom: 5px;\n  }\n  .navbar-form .form-group:last-child {\n    margin-bottom: 0;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-form {\n    width: auto;\n    border: 0;\n    margin-left: 0;\n    margin-right: 0;\n    padding-top: 0;\n    padding-bottom: 0;\n    -webkit-box-shadow: none;\n    box-shadow: none;\n  }\n}\n.navbar-nav > li > .dropdown-menu {\n  margin-top: 0;\n  border-top-right-radius: 0;\n  border-top-left-radius: 0;\n}\n.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {\n  margin-bottom: 0;\n  border-top-right-radius: 4px;\n  border-top-left-radius: 4px;\n  border-bottom-right-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.navbar-btn {\n  margin-top: 8px;\n  margin-bottom: 8px;\n}\n.navbar-btn.btn-sm {\n  margin-top: 10px;\n  margin-bottom: 10px;\n}\n.navbar-btn.btn-xs {\n  margin-top: 14px;\n  margin-bottom: 14px;\n}\n.navbar-text {\n  margin-top: 15px;\n  margin-bottom: 15px;\n}\n@media (min-width: 768px) {\n  .navbar-text {\n    float: left;\n    margin-left: 15px;\n    margin-right: 15px;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-left {\n    float: left !important;\n  }\n  .navbar-right {\n    float: right !important;\n    margin-right: -15px;\n  }\n  .navbar-right ~ .navbar-right {\n    margin-right: 0;\n  }\n}\n.navbar-default {\n  background-color: #f8f8f8;\n  border-color: #e7e7e7;\n}\n.navbar-default .navbar-brand {\n  color: #777777;\n}\n.navbar-default .navbar-brand:hover,\n.navbar-default .navbar-brand:focus {\n  color: #5e5e5e;\n  background-color: transparent;\n}\n.navbar-default .navbar-text {\n  color: #777777;\n}\n.navbar-default .navbar-nav > li > a {\n  color: #777777;\n}\n.navbar-default .navbar-nav > li > a:hover,\n.navbar-default .navbar-nav > li > a:focus {\n  color: #333333;\n  background-color: transparent;\n}\n.navbar-default .navbar-nav > .active > a,\n.navbar-default .navbar-nav > .active > a:hover,\n.navbar-default .navbar-nav > .active > a:focus {\n  color: #555555;\n  background-color: #e7e7e7;\n}\n.navbar-default .navbar-nav > .disabled > a,\n.navbar-default .navbar-nav > .disabled > a:hover,\n.navbar-default .navbar-nav > .disabled > a:focus {\n  color: #cccccc;\n  background-color: transparent;\n}\n.navbar-default .navbar-toggle {\n  border-color: #dddddd;\n}\n.navbar-default .navbar-toggle:hover,\n.navbar-default .navbar-toggle:focus {\n  background-color: #dddddd;\n}\n.navbar-default .navbar-toggle .icon-bar {\n  background-color: #888888;\n}\n.navbar-default .navbar-collapse,\n.navbar-default .navbar-form {\n  border-color: #e7e7e7;\n}\n.navbar-default .navbar-nav > .open > a,\n.navbar-default .navbar-nav > .open > a:hover,\n.navbar-default .navbar-nav > .open > a:focus {\n  background-color: #e7e7e7;\n  color: #555555;\n}\n@media (max-width: 767px) {\n  .navbar-default .navbar-nav .open .dropdown-menu > li > a {\n    color: #777777;\n  }\n  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,\n  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {\n    color: #333333;\n    background-color: transparent;\n  }\n  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,\n  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,\n  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {\n    color: #555555;\n    background-color: #e7e7e7;\n  }\n  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,\n  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,\n  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {\n    color: #cccccc;\n    background-color: transparent;\n  }\n}\n.navbar-default .navbar-link {\n  color: #777777;\n}\n.navbar-default .navbar-link:hover {\n  color: #333333;\n}\n.navbar-default .btn-link {\n  color: #777777;\n}\n.navbar-default .btn-link:hover,\n.navbar-default .btn-link:focus {\n  color: #333333;\n}\n.navbar-default .btn-link[disabled]:hover,\nfieldset[disabled] .navbar-default .btn-link:hover,\n.navbar-default .btn-link[disabled]:focus,\nfieldset[disabled] .navbar-default .btn-link:focus {\n  color: #cccccc;\n}\n.navbar-inverse {\n  background-color: #222222;\n  border-color: #080808;\n}\n.navbar-inverse .navbar-brand {\n  color: #9d9d9d;\n}\n.navbar-inverse .navbar-brand:hover,\n.navbar-inverse .navbar-brand:focus {\n  color: #ffffff;\n  background-color: transparent;\n}\n.navbar-inverse .navbar-text {\n  color: #9d9d9d;\n}\n.navbar-inverse .navbar-nav > li > a {\n  color: #9d9d9d;\n}\n.navbar-inverse .navbar-nav > li > a:hover,\n.navbar-inverse .navbar-nav > li > a:focus {\n  color: #ffffff;\n  background-color: transparent;\n}\n.navbar-inverse .navbar-nav > .active > a,\n.navbar-inverse .navbar-nav > .active > a:hover,\n.navbar-inverse .navbar-nav > .active > a:focus {\n  color: #ffffff;\n  background-color: #080808;\n}\n.navbar-inverse .navbar-nav > .disabled > a,\n.navbar-inverse .navbar-nav > .disabled > a:hover,\n.navbar-inverse .navbar-nav > .disabled > a:focus {\n  color: #444444;\n  background-color: transparent;\n}\n.navbar-inverse .navbar-toggle {\n  border-color: #333333;\n}\n.navbar-inverse .navbar-toggle:hover,\n.navbar-inverse .navbar-toggle:focus {\n  background-color: #333333;\n}\n.navbar-inverse .navbar-toggle .icon-bar {\n  background-color: #ffffff;\n}\n.navbar-inverse .navbar-collapse,\n.navbar-inverse .navbar-form {\n  border-color: #101010;\n}\n.navbar-inverse .navbar-nav > .open > a,\n.navbar-inverse .navbar-nav > .open > a:hover,\n.navbar-inverse .navbar-nav > .open > a:focus {\n  background-color: #080808;\n  color: #ffffff;\n}\n@media (max-width: 767px) {\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {\n    border-color: #080808;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {\n    background-color: #080808;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {\n    color: #9d9d9d;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {\n    color: #ffffff;\n    background-color: transparent;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {\n    color: #ffffff;\n    background-color: #080808;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {\n    color: #444444;\n    background-color: transparent;\n  }\n}\n.navbar-inverse .navbar-link {\n  color: #9d9d9d;\n}\n.navbar-inverse .navbar-link:hover {\n  color: #ffffff;\n}\n.navbar-inverse .btn-link {\n  color: #9d9d9d;\n}\n.navbar-inverse .btn-link:hover,\n.navbar-inverse .btn-link:focus {\n  color: #ffffff;\n}\n.navbar-inverse .btn-link[disabled]:hover,\nfieldset[disabled] .navbar-inverse .btn-link:hover,\n.navbar-inverse .btn-link[disabled]:focus,\nfieldset[disabled] .navbar-inverse .btn-link:focus {\n  color: #444444;\n}\n.breadcrumb {\n  padding: 8px 15px;\n  margin-bottom: 20px;\n  list-style: none;\n  background-color: #f5f5f5;\n  border-radius: 4px;\n}\n.breadcrumb > li {\n  display: inline-block;\n}\n.breadcrumb > li + li:before {\n  content: \"/\\00a0\";\n  padding: 0 5px;\n  color: #cccccc;\n}\n.breadcrumb > .active {\n  color: #777777;\n}\n.pagination {\n  display: inline-block;\n  padding-left: 0;\n  margin: 20px 0;\n  border-radius: 4px;\n}\n.pagination > li {\n  display: inline;\n}\n.pagination > li > a,\n.pagination > li > span {\n  position: relative;\n  float: left;\n  padding: 6px 12px;\n  line-height: 1.42857143;\n  text-decoration: none;\n  color: #337ab7;\n  background-color: #ffffff;\n  border: 1px solid #dddddd;\n  margin-left: -1px;\n}\n.pagination > li:first-child > a,\n.pagination > li:first-child > span {\n  margin-left: 0;\n  border-bottom-left-radius: 4px;\n  border-top-left-radius: 4px;\n}\n.pagination > li:last-child > a,\n.pagination > li:last-child > span {\n  border-bottom-right-radius: 4px;\n  border-top-right-radius: 4px;\n}\n.pagination > li > a:hover,\n.pagination > li > span:hover,\n.pagination > li > a:focus,\n.pagination > li > span:focus {\n  color: #23527c;\n  background-color: #eeeeee;\n  border-color: #dddddd;\n}\n.pagination > .active > a,\n.pagination > .active > span,\n.pagination > .active > a:hover,\n.pagination > .active > span:hover,\n.pagination > .active > a:focus,\n.pagination > .active > span:focus {\n  z-index: 2;\n  color: #ffffff;\n  background-color: #337ab7;\n  border-color: #337ab7;\n  cursor: default;\n}\n.pagination > .disabled > span,\n.pagination > .disabled > span:hover,\n.pagination > .disabled > span:focus,\n.pagination > .disabled > a,\n.pagination > .disabled > a:hover,\n.pagination > .disabled > a:focus {\n  color: #777777;\n  background-color: #ffffff;\n  border-color: #dddddd;\n  cursor: not-allowed;\n}\n.pagination-lg > li > a,\n.pagination-lg > li > span {\n  padding: 10px 16px;\n  font-size: 18px;\n}\n.pagination-lg > li:first-child > a,\n.pagination-lg > li:first-child > span {\n  border-bottom-left-radius: 6px;\n  border-top-left-radius: 6px;\n}\n.pagination-lg > li:last-child > a,\n.pagination-lg > li:last-child > span {\n  border-bottom-right-radius: 6px;\n  border-top-right-radius: 6px;\n}\n.pagination-sm > li > a,\n.pagination-sm > li > span {\n  padding: 5px 10px;\n  font-size: 12px;\n}\n.pagination-sm > li:first-child > a,\n.pagination-sm > li:first-child > span {\n  border-bottom-left-radius: 3px;\n  border-top-left-radius: 3px;\n}\n.pagination-sm > li:last-child > a,\n.pagination-sm > li:last-child > span {\n  border-bottom-right-radius: 3px;\n  border-top-right-radius: 3px;\n}\n.pager {\n  padding-left: 0;\n  margin: 20px 0;\n  list-style: none;\n  text-align: center;\n}\n.pager li {\n  display: inline;\n}\n.pager li > a,\n.pager li > span {\n  display: inline-block;\n  padding: 5px 14px;\n  background-color: #ffffff;\n  border: 1px solid #dddddd;\n  border-radius: 15px;\n}\n.pager li > a:hover,\n.pager li > a:focus {\n  text-decoration: none;\n  background-color: #eeeeee;\n}\n.pager .next > a,\n.pager .next > span {\n  float: right;\n}\n.pager .previous > a,\n.pager .previous > span {\n  float: left;\n}\n.pager .disabled > a,\n.pager .disabled > a:hover,\n.pager .disabled > a:focus,\n.pager .disabled > span {\n  color: #777777;\n  background-color: #ffffff;\n  cursor: not-allowed;\n}\n.label {\n  display: inline;\n  padding: .2em .6em .3em;\n  font-size: 75%;\n  font-weight: bold;\n  line-height: 1;\n  color: #ffffff;\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: baseline;\n  border-radius: .25em;\n}\na.label:hover,\na.label:focus {\n  color: #ffffff;\n  text-decoration: none;\n  cursor: pointer;\n}\n.label:empty {\n  display: none;\n}\n.btn .label {\n  position: relative;\n  top: -1px;\n}\n.label-default {\n  background-color: #777777;\n}\n.label-default[href]:hover,\n.label-default[href]:focus {\n  background-color: #5e5e5e;\n}\n.label-primary {\n  background-color: #337ab7;\n}\n.label-primary[href]:hover,\n.label-primary[href]:focus {\n  background-color: #286090;\n}\n.label-success {\n  background-color: #5cb85c;\n}\n.label-success[href]:hover,\n.label-success[href]:focus {\n  background-color: #449d44;\n}\n.label-info {\n  background-color: #5bc0de;\n}\n.label-info[href]:hover,\n.label-info[href]:focus {\n  background-color: #31b0d5;\n}\n.label-warning {\n  background-color: #f0ad4e;\n}\n.label-warning[href]:hover,\n.label-warning[href]:focus {\n  background-color: #ec971f;\n}\n.label-danger {\n  background-color: #d9534f;\n}\n.label-danger[href]:hover,\n.label-danger[href]:focus {\n  background-color: #c9302c;\n}\n.badge {\n  display: inline-block;\n  min-width: 10px;\n  padding: 3px 7px;\n  font-size: 12px;\n  font-weight: bold;\n  color: #ffffff;\n  line-height: 1;\n  vertical-align: baseline;\n  white-space: nowrap;\n  text-align: center;\n  background-color: #777777;\n  border-radius: 10px;\n}\n.badge:empty {\n  display: none;\n}\n.btn .badge {\n  position: relative;\n  top: -1px;\n}\n.btn-xs .badge,\n.btn-group-xs > .btn .badge {\n  top: 0;\n  padding: 1px 5px;\n}\na.badge:hover,\na.badge:focus {\n  color: #ffffff;\n  text-decoration: none;\n  cursor: pointer;\n}\n.list-group-item.active > .badge,\n.nav-pills > .active > a > .badge {\n  color: #337ab7;\n  background-color: #ffffff;\n}\n.list-group-item > .badge {\n  float: right;\n}\n.list-group-item > .badge + .badge {\n  margin-right: 5px;\n}\n.nav-pills > li > a > .badge {\n  margin-left: 3px;\n}\n.jumbotron {\n  padding: 30px 15px;\n  margin-bottom: 30px;\n  color: inherit;\n  background-color: #eeeeee;\n}\n.jumbotron h1,\n.jumbotron .h1 {\n  color: inherit;\n}\n.jumbotron p {\n  margin-bottom: 15px;\n  font-size: 21px;\n  font-weight: 200;\n}\n.jumbotron > hr {\n  border-top-color: #d5d5d5;\n}\n.container .jumbotron,\n.container-fluid .jumbotron {\n  border-radius: 6px;\n}\n.jumbotron .container {\n  max-width: 100%;\n}\n@media screen and (min-width: 768px) {\n  .jumbotron {\n    padding: 48px 0;\n  }\n  .container .jumbotron,\n  .container-fluid .jumbotron {\n    padding-left: 60px;\n    padding-right: 60px;\n  }\n  .jumbotron h1,\n  .jumbotron .h1 {\n    font-size: 63px;\n  }\n}\n.thumbnail {\n  display: block;\n  padding: 4px;\n  margin-bottom: 20px;\n  line-height: 1.42857143;\n  background-color: #ffffff;\n  border: 1px solid #dddddd;\n  border-radius: 4px;\n  -webkit-transition: border 0.2s ease-in-out;\n  -o-transition: border 0.2s ease-in-out;\n  transition: border 0.2s ease-in-out;\n}\n.thumbnail > img,\n.thumbnail a > img {\n  margin-left: auto;\n  margin-right: auto;\n}\na.thumbnail:hover,\na.thumbnail:focus,\na.thumbnail.active {\n  border-color: #337ab7;\n}\n.thumbnail .caption {\n  padding: 9px;\n  color: #333333;\n}\n.alert {\n  padding: 15px;\n  margin-bottom: 20px;\n  border: 1px solid transparent;\n  border-radius: 4px;\n}\n.alert h4 {\n  margin-top: 0;\n  color: inherit;\n}\n.alert .alert-link {\n  font-weight: bold;\n}\n.alert > p,\n.alert > ul {\n  margin-bottom: 0;\n}\n.alert > p + p {\n  margin-top: 5px;\n}\n.alert-dismissable,\n.alert-dismissible {\n  padding-right: 35px;\n}\n.alert-dismissable .close,\n.alert-dismissible .close {\n  position: relative;\n  top: -2px;\n  right: -21px;\n  color: inherit;\n}\n.alert-success {\n  background-color: #dff0d8;\n  border-color: #d6e9c6;\n  color: #3c763d;\n}\n.alert-success hr {\n  border-top-color: #c9e2b3;\n}\n.alert-success .alert-link {\n  color: #2b542c;\n}\n.alert-info {\n  background-color: #d9edf7;\n  border-color: #bce8f1;\n  color: #31708f;\n}\n.alert-info hr {\n  border-top-color: #a6e1ec;\n}\n.alert-info .alert-link {\n  color: #245269;\n}\n.alert-warning {\n  background-color: #fcf8e3;\n  border-color: #faebcc;\n  color: #8a6d3b;\n}\n.alert-warning hr {\n  border-top-color: #f7e1b5;\n}\n.alert-warning .alert-link {\n  color: #66512c;\n}\n.alert-danger {\n  background-color: #f2dede;\n  border-color: #ebccd1;\n  color: #a94442;\n}\n.alert-danger hr {\n  border-top-color: #e4b9c0;\n}\n.alert-danger .alert-link {\n  color: #843534;\n}\n@-webkit-keyframes progress-bar-stripes {\n  from {\n    background-position: 40px 0;\n  }\n  to {\n    background-position: 0 0;\n  }\n}\n@keyframes progress-bar-stripes {\n  from {\n    background-position: 40px 0;\n  }\n  to {\n    background-position: 0 0;\n  }\n}\n.progress {\n  overflow: hidden;\n  height: 20px;\n  margin-bottom: 20px;\n  background-color: #f5f5f5;\n  border-radius: 4px;\n  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);\n  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);\n}\n.progress-bar {\n  float: left;\n  width: 0%;\n  height: 100%;\n  font-size: 12px;\n  line-height: 20px;\n  color: #ffffff;\n  text-align: center;\n  background-color: #337ab7;\n  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);\n  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);\n  -webkit-transition: width 0.6s ease;\n  -o-transition: width 0.6s ease;\n  transition: width 0.6s ease;\n}\n.progress-striped .progress-bar,\n.progress-bar-striped {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-size: 40px 40px;\n}\n.progress.active .progress-bar,\n.progress-bar.active {\n  -webkit-animation: progress-bar-stripes 2s linear infinite;\n  -o-animation: progress-bar-stripes 2s linear infinite;\n  animation: progress-bar-stripes 2s linear infinite;\n}\n.progress-bar-success {\n  background-color: #5cb85c;\n}\n.progress-striped .progress-bar-success {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.progress-bar-info {\n  background-color: #5bc0de;\n}\n.progress-striped .progress-bar-info {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.progress-bar-warning {\n  background-color: #f0ad4e;\n}\n.progress-striped .progress-bar-warning {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.progress-bar-danger {\n  background-color: #d9534f;\n}\n.progress-striped .progress-bar-danger {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.media {\n  margin-top: 15px;\n}\n.media:first-child {\n  margin-top: 0;\n}\n.media,\n.media-body {\n  zoom: 1;\n  overflow: hidden;\n}\n.media-body {\n  width: 10000px;\n}\n.media-object {\n  display: block;\n}\n.media-right,\n.media > .pull-right {\n  padding-left: 10px;\n}\n.media-left,\n.media > .pull-left {\n  padding-right: 10px;\n}\n.media-left,\n.media-right,\n.media-body {\n  display: table-cell;\n  vertical-align: top;\n}\n.media-middle {\n  vertical-align: middle;\n}\n.media-bottom {\n  vertical-align: bottom;\n}\n.media-heading {\n  margin-top: 0;\n  margin-bottom: 5px;\n}\n.media-list {\n  padding-left: 0;\n  list-style: none;\n}\n.list-group {\n  margin-bottom: 20px;\n  padding-left: 0;\n}\n.list-group-item {\n  position: relative;\n  display: block;\n  padding: 10px 15px;\n  margin-bottom: -1px;\n  background-color: #ffffff;\n  border: 1px solid #dddddd;\n}\n.list-group-item:first-child {\n  border-top-right-radius: 4px;\n  border-top-left-radius: 4px;\n}\n.list-group-item:last-child {\n  margin-bottom: 0;\n  border-bottom-right-radius: 4px;\n  border-bottom-left-radius: 4px;\n}\na.list-group-item {\n  color: #555555;\n}\na.list-group-item .list-group-item-heading {\n  color: #333333;\n}\na.list-group-item:hover,\na.list-group-item:focus {\n  text-decoration: none;\n  color: #555555;\n  background-color: #f5f5f5;\n}\n.list-group-item.disabled,\n.list-group-item.disabled:hover,\n.list-group-item.disabled:focus {\n  background-color: #eeeeee;\n  color: #777777;\n  cursor: not-allowed;\n}\n.list-group-item.disabled .list-group-item-heading,\n.list-group-item.disabled:hover .list-group-item-heading,\n.list-group-item.disabled:focus .list-group-item-heading {\n  color: inherit;\n}\n.list-group-item.disabled .list-group-item-text,\n.list-group-item.disabled:hover .list-group-item-text,\n.list-group-item.disabled:focus .list-group-item-text {\n  color: #777777;\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n  z-index: 2;\n  color: #ffffff;\n  background-color: #337ab7;\n  border-color: #337ab7;\n}\n.list-group-item.active .list-group-item-heading,\n.list-group-item.active:hover .list-group-item-heading,\n.list-group-item.active:focus .list-group-item-heading,\n.list-group-item.active .list-group-item-heading > small,\n.list-group-item.active:hover .list-group-item-heading > small,\n.list-group-item.active:focus .list-group-item-heading > small,\n.list-group-item.active .list-group-item-heading > .small,\n.list-group-item.active:hover .list-group-item-heading > .small,\n.list-group-item.active:focus .list-group-item-heading > .small {\n  color: inherit;\n}\n.list-group-item.active .list-group-item-text,\n.list-group-item.active:hover .list-group-item-text,\n.list-group-item.active:focus .list-group-item-text {\n  color: #c7ddef;\n}\n.list-group-item-success {\n  color: #3c763d;\n  background-color: #dff0d8;\n}\na.list-group-item-success {\n  color: #3c763d;\n}\na.list-group-item-success .list-group-item-heading {\n  color: inherit;\n}\na.list-group-item-success:hover,\na.list-group-item-success:focus {\n  color: #3c763d;\n  background-color: #d0e9c6;\n}\na.list-group-item-success.active,\na.list-group-item-success.active:hover,\na.list-group-item-success.active:focus {\n  color: #fff;\n  background-color: #3c763d;\n  border-color: #3c763d;\n}\n.list-group-item-info {\n  color: #31708f;\n  background-color: #d9edf7;\n}\na.list-group-item-info {\n  color: #31708f;\n}\na.list-group-item-info .list-group-item-heading {\n  color: inherit;\n}\na.list-group-item-info:hover,\na.list-group-item-info:focus {\n  color: #31708f;\n  background-color: #c4e3f3;\n}\na.list-group-item-info.active,\na.list-group-item-info.active:hover,\na.list-group-item-info.active:focus {\n  color: #fff;\n  background-color: #31708f;\n  border-color: #31708f;\n}\n.list-group-item-warning {\n  color: #8a6d3b;\n  background-color: #fcf8e3;\n}\na.list-group-item-warning {\n  color: #8a6d3b;\n}\na.list-group-item-warning .list-group-item-heading {\n  color: inherit;\n}\na.list-group-item-warning:hover,\na.list-group-item-warning:focus {\n  color: #8a6d3b;\n  background-color: #faf2cc;\n}\na.list-group-item-warning.active,\na.list-group-item-warning.active:hover,\na.list-group-item-warning.active:focus {\n  color: #fff;\n  background-color: #8a6d3b;\n  border-color: #8a6d3b;\n}\n.list-group-item-danger {\n  color: #a94442;\n  background-color: #f2dede;\n}\na.list-group-item-danger {\n  color: #a94442;\n}\na.list-group-item-danger .list-group-item-heading {\n  color: inherit;\n}\na.list-group-item-danger:hover,\na.list-group-item-danger:focus {\n  color: #a94442;\n  background-color: #ebcccc;\n}\na.list-group-item-danger.active,\na.list-group-item-danger.active:hover,\na.list-group-item-danger.active:focus {\n  color: #fff;\n  background-color: #a94442;\n  border-color: #a94442;\n}\n.list-group-item-heading {\n  margin-top: 0;\n  margin-bottom: 5px;\n}\n.list-group-item-text {\n  margin-bottom: 0;\n  line-height: 1.3;\n}\n.panel {\n  margin-bottom: 20px;\n  background-color: #ffffff;\n  border: 1px solid transparent;\n  border-radius: 4px;\n  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);\n  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);\n}\n.panel-body {\n  padding: 15px;\n}\n.panel-heading {\n  padding: 10px 15px;\n  border-bottom: 1px solid transparent;\n  border-top-right-radius: 3px;\n  border-top-left-radius: 3px;\n}\n.panel-heading > .dropdown .dropdown-toggle {\n  color: inherit;\n}\n.panel-title {\n  margin-top: 0;\n  margin-bottom: 0;\n  font-size: 16px;\n  color: inherit;\n}\n.panel-title > a,\n.panel-title > small,\n.panel-title > .small,\n.panel-title > small > a,\n.panel-title > .small > a {\n  color: inherit;\n}\n.panel-footer {\n  padding: 10px 15px;\n  background-color: #f5f5f5;\n  border-top: 1px solid #dddddd;\n  border-bottom-right-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.panel > .list-group,\n.panel > .panel-collapse > .list-group {\n  margin-bottom: 0;\n}\n.panel > .list-group .list-group-item,\n.panel > .panel-collapse > .list-group .list-group-item {\n  border-width: 1px 0;\n  border-radius: 0;\n}\n.panel > .list-group:first-child .list-group-item:first-child,\n.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {\n  border-top: 0;\n  border-top-right-radius: 3px;\n  border-top-left-radius: 3px;\n}\n.panel > .list-group:last-child .list-group-item:last-child,\n.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {\n  border-bottom: 0;\n  border-bottom-right-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.panel-heading + .list-group .list-group-item:first-child {\n  border-top-width: 0;\n}\n.list-group + .panel-footer {\n  border-top-width: 0;\n}\n.panel > .table,\n.panel > .table-responsive > .table,\n.panel > .panel-collapse > .table {\n  margin-bottom: 0;\n}\n.panel > .table caption,\n.panel > .table-responsive > .table caption,\n.panel > .panel-collapse > .table caption {\n  padding-left: 15px;\n  padding-right: 15px;\n}\n.panel > .table:first-child,\n.panel > .table-responsive:first-child > .table:first-child {\n  border-top-right-radius: 3px;\n  border-top-left-radius: 3px;\n}\n.panel > .table:first-child > thead:first-child > tr:first-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {\n  border-top-left-radius: 3px;\n  border-top-right-radius: 3px;\n}\n.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,\n.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {\n  border-top-left-radius: 3px;\n}\n.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,\n.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {\n  border-top-right-radius: 3px;\n}\n.panel > .table:last-child,\n.panel > .table-responsive:last-child > .table:last-child {\n  border-bottom-right-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.panel > .table:last-child > tbody:last-child > tr:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {\n  border-bottom-left-radius: 3px;\n  border-bottom-right-radius: 3px;\n}\n.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,\n.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {\n  border-bottom-left-radius: 3px;\n}\n.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,\n.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {\n  border-bottom-right-radius: 3px;\n}\n.panel > .panel-body + .table,\n.panel > .panel-body + .table-responsive,\n.panel > .table + .panel-body,\n.panel > .table-responsive + .panel-body {\n  border-top: 1px solid #dddddd;\n}\n.panel > .table > tbody:first-child > tr:first-child th,\n.panel > .table > tbody:first-child > tr:first-child td {\n  border-top: 0;\n}\n.panel > .table-bordered,\n.panel > .table-responsive > .table-bordered {\n  border: 0;\n}\n.panel > .table-bordered > thead > tr > th:first-child,\n.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,\n.panel > .table-bordered > tbody > tr > th:first-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,\n.panel > .table-bordered > tfoot > tr > th:first-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,\n.panel > .table-bordered > thead > tr > td:first-child,\n.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,\n.panel > .table-bordered > tbody > tr > td:first-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,\n.panel > .table-bordered > tfoot > tr > td:first-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {\n  border-left: 0;\n}\n.panel > .table-bordered > thead > tr > th:last-child,\n.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,\n.panel > .table-bordered > tbody > tr > th:last-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,\n.panel > .table-bordered > tfoot > tr > th:last-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,\n.panel > .table-bordered > thead > tr > td:last-child,\n.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,\n.panel > .table-bordered > tbody > tr > td:last-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,\n.panel > .table-bordered > tfoot > tr > td:last-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {\n  border-right: 0;\n}\n.panel > .table-bordered > thead > tr:first-child > td,\n.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,\n.panel > .table-bordered > tbody > tr:first-child > td,\n.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,\n.panel > .table-bordered > thead > tr:first-child > th,\n.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,\n.panel > .table-bordered > tbody > tr:first-child > th,\n.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {\n  border-bottom: 0;\n}\n.panel > .table-bordered > tbody > tr:last-child > td,\n.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,\n.panel > .table-bordered > tfoot > tr:last-child > td,\n.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,\n.panel > .table-bordered > tbody > tr:last-child > th,\n.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,\n.panel > .table-bordered > tfoot > tr:last-child > th,\n.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {\n  border-bottom: 0;\n}\n.panel > .table-responsive {\n  border: 0;\n  margin-bottom: 0;\n}\n.panel-group {\n  margin-bottom: 20px;\n}\n.panel-group .panel {\n  margin-bottom: 0;\n  border-radius: 4px;\n}\n.panel-group .panel + .panel {\n  margin-top: 5px;\n}\n.panel-group .panel-heading {\n  border-bottom: 0;\n}\n.panel-group .panel-heading + .panel-collapse > .panel-body,\n.panel-group .panel-heading + .panel-collapse > .list-group {\n  border-top: 1px solid #dddddd;\n}\n.panel-group .panel-footer {\n  border-top: 0;\n}\n.panel-group .panel-footer + .panel-collapse .panel-body {\n  border-bottom: 1px solid #dddddd;\n}\n.panel-default {\n  border-color: #dddddd;\n}\n.panel-default > .panel-heading {\n  color: #333333;\n  background-color: #f5f5f5;\n  border-color: #dddddd;\n}\n.panel-default > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #dddddd;\n}\n.panel-default > .panel-heading .badge {\n  color: #f5f5f5;\n  background-color: #333333;\n}\n.panel-default > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #dddddd;\n}\n.panel-primary {\n  border-color: #337ab7;\n}\n.panel-primary > .panel-heading {\n  color: #ffffff;\n  background-color: #337ab7;\n  border-color: #337ab7;\n}\n.panel-primary > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #337ab7;\n}\n.panel-primary > .panel-heading .badge {\n  color: #337ab7;\n  background-color: #ffffff;\n}\n.panel-primary > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #337ab7;\n}\n.panel-success {\n  border-color: #d6e9c6;\n}\n.panel-success > .panel-heading {\n  color: #3c763d;\n  background-color: #dff0d8;\n  border-color: #d6e9c6;\n}\n.panel-success > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #d6e9c6;\n}\n.panel-success > .panel-heading .badge {\n  color: #dff0d8;\n  background-color: #3c763d;\n}\n.panel-success > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #d6e9c6;\n}\n.panel-info {\n  border-color: #bce8f1;\n}\n.panel-info > .panel-heading {\n  color: #31708f;\n  background-color: #d9edf7;\n  border-color: #bce8f1;\n}\n.panel-info > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #bce8f1;\n}\n.panel-info > .panel-heading .badge {\n  color: #d9edf7;\n  background-color: #31708f;\n}\n.panel-info > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #bce8f1;\n}\n.panel-warning {\n  border-color: #faebcc;\n}\n.panel-warning > .panel-heading {\n  color: #8a6d3b;\n  background-color: #fcf8e3;\n  border-color: #faebcc;\n}\n.panel-warning > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #faebcc;\n}\n.panel-warning > .panel-heading .badge {\n  color: #fcf8e3;\n  background-color: #8a6d3b;\n}\n.panel-warning > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #faebcc;\n}\n.panel-danger {\n  border-color: #ebccd1;\n}\n.panel-danger > .panel-heading {\n  color: #a94442;\n  background-color: #f2dede;\n  border-color: #ebccd1;\n}\n.panel-danger > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #ebccd1;\n}\n.panel-danger > .panel-heading .badge {\n  color: #f2dede;\n  background-color: #a94442;\n}\n.panel-danger > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #ebccd1;\n}\n.embed-responsive {\n  position: relative;\n  display: block;\n  height: 0;\n  padding: 0;\n  overflow: hidden;\n}\n.embed-responsive .embed-responsive-item,\n.embed-responsive iframe,\n.embed-responsive embed,\n.embed-responsive object,\n.embed-responsive video {\n  position: absolute;\n  top: 0;\n  left: 0;\n  bottom: 0;\n  height: 100%;\n  width: 100%;\n  border: 0;\n}\n.embed-responsive-16by9 {\n  padding-bottom: 56.25%;\n}\n.embed-responsive-4by3 {\n  padding-bottom: 75%;\n}\n.well {\n  min-height: 20px;\n  padding: 19px;\n  margin-bottom: 20px;\n  background-color: #f5f5f5;\n  border: 1px solid #e3e3e3;\n  border-radius: 4px;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);\n}\n.well blockquote {\n  border-color: #ddd;\n  border-color: rgba(0, 0, 0, 0.15);\n}\n.well-lg {\n  padding: 24px;\n  border-radius: 6px;\n}\n.well-sm {\n  padding: 9px;\n  border-radius: 3px;\n}\n.close {\n  float: right;\n  font-size: 21px;\n  font-weight: bold;\n  line-height: 1;\n  color: #000000;\n  text-shadow: 0 1px 0 #ffffff;\n  opacity: 0.2;\n  filter: alpha(opacity=20);\n}\n.close:hover,\n.close:focus {\n  color: #000000;\n  text-decoration: none;\n  cursor: pointer;\n  opacity: 0.5;\n  filter: alpha(opacity=50);\n}\nbutton.close {\n  padding: 0;\n  cursor: pointer;\n  background: transparent;\n  border: 0;\n  -webkit-appearance: none;\n}\n.modal-open {\n  overflow: hidden;\n}\n.modal {\n  display: none;\n  overflow: hidden;\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 1050;\n  -webkit-overflow-scrolling: touch;\n  outline: 0;\n}\n.modal.fade .modal-dialog {\n  -webkit-transform: translate(0, -25%);\n  -ms-transform: translate(0, -25%);\n  -o-transform: translate(0, -25%);\n  transform: translate(0, -25%);\n  -webkit-transition: -webkit-transform 0.3s ease-out;\n  -moz-transition: -moz-transform 0.3s ease-out;\n  -o-transition: -o-transform 0.3s ease-out;\n  transition: transform 0.3s ease-out;\n}\n.modal.in .modal-dialog {\n  -webkit-transform: translate(0, 0);\n  -ms-transform: translate(0, 0);\n  -o-transform: translate(0, 0);\n  transform: translate(0, 0);\n}\n.modal-open .modal {\n  overflow-x: hidden;\n  overflow-y: auto;\n}\n.modal-dialog {\n  position: relative;\n  width: auto;\n  margin: 10px;\n}\n.modal-content {\n  position: relative;\n  background-color: #ffffff;\n  border: 1px solid #999999;\n  border: 1px solid rgba(0, 0, 0, 0.2);\n  border-radius: 6px;\n  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);\n  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);\n  background-clip: padding-box;\n  outline: 0;\n}\n.modal-backdrop {\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 1040;\n  background-color: #000000;\n}\n.modal-backdrop.fade {\n  opacity: 0;\n  filter: alpha(opacity=0);\n}\n.modal-backdrop.in {\n  opacity: 0.5;\n  filter: alpha(opacity=50);\n}\n.modal-header {\n  padding: 15px;\n  border-bottom: 1px solid #e5e5e5;\n  min-height: 16.42857143px;\n}\n.modal-header .close {\n  margin-top: -2px;\n}\n.modal-title {\n  margin: 0;\n  line-height: 1.42857143;\n}\n.modal-body {\n  position: relative;\n  padding: 15px;\n}\n.modal-footer {\n  padding: 15px;\n  text-align: right;\n  border-top: 1px solid #e5e5e5;\n}\n.modal-footer .btn + .btn {\n  margin-left: 5px;\n  margin-bottom: 0;\n}\n.modal-footer .btn-group .btn + .btn {\n  margin-left: -1px;\n}\n.modal-footer .btn-block + .btn-block {\n  margin-left: 0;\n}\n.modal-scrollbar-measure {\n  position: absolute;\n  top: -9999px;\n  width: 50px;\n  height: 50px;\n  overflow: scroll;\n}\n@media (min-width: 768px) {\n  .modal-dialog {\n    width: 600px;\n    margin: 30px auto;\n  }\n  .modal-content {\n    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);\n    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);\n  }\n  .modal-sm {\n    width: 300px;\n  }\n}\n@media (min-width: 992px) {\n  .modal-lg {\n    width: 900px;\n  }\n}\n.tooltip {\n  position: absolute;\n  z-index: 1070;\n  display: block;\n  font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n  font-size: 12px;\n  font-weight: normal;\n  line-height: 1.4;\n  opacity: 0;\n  filter: alpha(opacity=0);\n}\n.tooltip.in {\n  opacity: 0.9;\n  filter: alpha(opacity=90);\n}\n.tooltip.top {\n  margin-top: -3px;\n  padding: 5px 0;\n}\n.tooltip.right {\n  margin-left: 3px;\n  padding: 0 5px;\n}\n.tooltip.bottom {\n  margin-top: 3px;\n  padding: 5px 0;\n}\n.tooltip.left {\n  margin-left: -3px;\n  padding: 0 5px;\n}\n.tooltip-inner {\n  max-width: 200px;\n  padding: 3px 8px;\n  color: #ffffff;\n  text-align: center;\n  text-decoration: none;\n  background-color: #000000;\n  border-radius: 4px;\n}\n.tooltip-arrow {\n  position: absolute;\n  width: 0;\n  height: 0;\n  border-color: transparent;\n  border-style: solid;\n}\n.tooltip.top .tooltip-arrow {\n  bottom: 0;\n  left: 50%;\n  margin-left: -5px;\n  border-width: 5px 5px 0;\n  border-top-color: #000000;\n}\n.tooltip.top-left .tooltip-arrow {\n  bottom: 0;\n  right: 5px;\n  margin-bottom: -5px;\n  border-width: 5px 5px 0;\n  border-top-color: #000000;\n}\n.tooltip.top-right .tooltip-arrow {\n  bottom: 0;\n  left: 5px;\n  margin-bottom: -5px;\n  border-width: 5px 5px 0;\n  border-top-color: #000000;\n}\n.tooltip.right .tooltip-arrow {\n  top: 50%;\n  left: 0;\n  margin-top: -5px;\n  border-width: 5px 5px 5px 0;\n  border-right-color: #000000;\n}\n.tooltip.left .tooltip-arrow {\n  top: 50%;\n  right: 0;\n  margin-top: -5px;\n  border-width: 5px 0 5px 5px;\n  border-left-color: #000000;\n}\n.tooltip.bottom .tooltip-arrow {\n  top: 0;\n  left: 50%;\n  margin-left: -5px;\n  border-width: 0 5px 5px;\n  border-bottom-color: #000000;\n}\n.tooltip.bottom-left .tooltip-arrow {\n  top: 0;\n  right: 5px;\n  margin-top: -5px;\n  border-width: 0 5px 5px;\n  border-bottom-color: #000000;\n}\n.tooltip.bottom-right .tooltip-arrow {\n  top: 0;\n  left: 5px;\n  margin-top: -5px;\n  border-width: 0 5px 5px;\n  border-bottom-color: #000000;\n}\n.popover {\n  position: absolute;\n  top: 0;\n  left: 0;\n  z-index: 1060;\n  display: none;\n  max-width: 276px;\n  padding: 1px;\n  font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n  font-size: 14px;\n  font-weight: normal;\n  line-height: 1.42857143;\n  text-align: left;\n  background-color: #ffffff;\n  background-clip: padding-box;\n  border: 1px solid #cccccc;\n  border: 1px solid rgba(0, 0, 0, 0.2);\n  border-radius: 6px;\n  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);\n  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);\n  white-space: normal;\n}\n.popover.top {\n  margin-top: -10px;\n}\n.popover.right {\n  margin-left: 10px;\n}\n.popover.bottom {\n  margin-top: 10px;\n}\n.popover.left {\n  margin-left: -10px;\n}\n.popover-title {\n  margin: 0;\n  padding: 8px 14px;\n  font-size: 14px;\n  background-color: #f7f7f7;\n  border-bottom: 1px solid #ebebeb;\n  border-radius: 5px 5px 0 0;\n}\n.popover-content {\n  padding: 9px 14px;\n}\n.popover > .arrow,\n.popover > .arrow:after {\n  position: absolute;\n  display: block;\n  width: 0;\n  height: 0;\n  border-color: transparent;\n  border-style: solid;\n}\n.popover > .arrow {\n  border-width: 11px;\n}\n.popover > .arrow:after {\n  border-width: 10px;\n  content: \"\";\n}\n.popover.top > .arrow {\n  left: 50%;\n  margin-left: -11px;\n  border-bottom-width: 0;\n  border-top-color: #999999;\n  border-top-color: rgba(0, 0, 0, 0.25);\n  bottom: -11px;\n}\n.popover.top > .arrow:after {\n  content: \" \";\n  bottom: 1px;\n  margin-left: -10px;\n  border-bottom-width: 0;\n  border-top-color: #ffffff;\n}\n.popover.right > .arrow {\n  top: 50%;\n  left: -11px;\n  margin-top: -11px;\n  border-left-width: 0;\n  border-right-color: #999999;\n  border-right-color: rgba(0, 0, 0, 0.25);\n}\n.popover.right > .arrow:after {\n  content: \" \";\n  left: 1px;\n  bottom: -10px;\n  border-left-width: 0;\n  border-right-color: #ffffff;\n}\n.popover.bottom > .arrow {\n  left: 50%;\n  margin-left: -11px;\n  border-top-width: 0;\n  border-bottom-color: #999999;\n  border-bottom-color: rgba(0, 0, 0, 0.25);\n  top: -11px;\n}\n.popover.bottom > .arrow:after {\n  content: \" \";\n  top: 1px;\n  margin-left: -10px;\n  border-top-width: 0;\n  border-bottom-color: #ffffff;\n}\n.popover.left > .arrow {\n  top: 50%;\n  right: -11px;\n  margin-top: -11px;\n  border-right-width: 0;\n  border-left-color: #999999;\n  border-left-color: rgba(0, 0, 0, 0.25);\n}\n.popover.left > .arrow:after {\n  content: \" \";\n  right: 1px;\n  border-right-width: 0;\n  border-left-color: #ffffff;\n  bottom: -10px;\n}\n.carousel {\n  position: relative;\n}\n.carousel-inner {\n  position: relative;\n  overflow: hidden;\n  width: 100%;\n}\n.carousel-inner > .item {\n  display: none;\n  position: relative;\n  -webkit-transition: 0.6s ease-in-out left;\n  -o-transition: 0.6s ease-in-out left;\n  transition: 0.6s ease-in-out left;\n}\n.carousel-inner > .item > img,\n.carousel-inner > .item > a > img {\n  line-height: 1;\n}\n@media all and (transform-3d), (-webkit-transform-3d) {\n  .carousel-inner > .item {\n    -webkit-transition: -webkit-transform 0.6s ease-in-out;\n    -moz-transition: -moz-transform 0.6s ease-in-out;\n    -o-transition: -o-transform 0.6s ease-in-out;\n    transition: transform 0.6s ease-in-out;\n    -webkit-backface-visibility: hidden;\n    -moz-backface-visibility: hidden;\n    backface-visibility: hidden;\n    -webkit-perspective: 1000;\n    -moz-perspective: 1000;\n    perspective: 1000;\n  }\n  .carousel-inner > .item.next,\n  .carousel-inner > .item.active.right {\n    -webkit-transform: translate3d(100%, 0, 0);\n    transform: translate3d(100%, 0, 0);\n    left: 0;\n  }\n  .carousel-inner > .item.prev,\n  .carousel-inner > .item.active.left {\n    -webkit-transform: translate3d(-100%, 0, 0);\n    transform: translate3d(-100%, 0, 0);\n    left: 0;\n  }\n  .carousel-inner > .item.next.left,\n  .carousel-inner > .item.prev.right,\n  .carousel-inner > .item.active {\n    -webkit-transform: translate3d(0, 0, 0);\n    transform: translate3d(0, 0, 0);\n    left: 0;\n  }\n}\n.carousel-inner > .active,\n.carousel-inner > .next,\n.carousel-inner > .prev {\n  display: block;\n}\n.carousel-inner > .active {\n  left: 0;\n}\n.carousel-inner > .next,\n.carousel-inner > .prev {\n  position: absolute;\n  top: 0;\n  width: 100%;\n}\n.carousel-inner > .next {\n  left: 100%;\n}\n.carousel-inner > .prev {\n  left: -100%;\n}\n.carousel-inner > .next.left,\n.carousel-inner > .prev.right {\n  left: 0;\n}\n.carousel-inner > .active.left {\n  left: -100%;\n}\n.carousel-inner > .active.right {\n  left: 100%;\n}\n.carousel-control {\n  position: absolute;\n  top: 0;\n  left: 0;\n  bottom: 0;\n  width: 15%;\n  opacity: 0.5;\n  filter: alpha(opacity=50);\n  font-size: 20px;\n  color: #ffffff;\n  text-align: center;\n  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);\n}\n.carousel-control.left {\n  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);\n  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);\n  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);\n}\n.carousel-control.right {\n  left: auto;\n  right: 0;\n  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);\n  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);\n  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);\n}\n.carousel-control:hover,\n.carousel-control:focus {\n  outline: 0;\n  color: #ffffff;\n  text-decoration: none;\n  opacity: 0.9;\n  filter: alpha(opacity=90);\n}\n.carousel-control .icon-prev,\n.carousel-control .icon-next,\n.carousel-control .glyphicon-chevron-left,\n.carousel-control .glyphicon-chevron-right {\n  position: absolute;\n  top: 50%;\n  z-index: 5;\n  display: inline-block;\n}\n.carousel-control .icon-prev,\n.carousel-control .glyphicon-chevron-left {\n  left: 50%;\n  margin-left: -10px;\n}\n.carousel-control .icon-next,\n.carousel-control .glyphicon-chevron-right {\n  right: 50%;\n  margin-right: -10px;\n}\n.carousel-control .icon-prev,\n.carousel-control .icon-next {\n  width: 20px;\n  height: 20px;\n  margin-top: -10px;\n  line-height: 1;\n  font-family: serif;\n}\n.carousel-control .icon-prev:before {\n  content: '\\2039';\n}\n.carousel-control .icon-next:before {\n  content: '\\203a';\n}\n.carousel-indicators {\n  position: absolute;\n  bottom: 10px;\n  left: 50%;\n  z-index: 15;\n  width: 60%;\n  margin-left: -30%;\n  padding-left: 0;\n  list-style: none;\n  text-align: center;\n}\n.carousel-indicators li {\n  display: inline-block;\n  width: 10px;\n  height: 10px;\n  margin: 1px;\n  text-indent: -999px;\n  border: 1px solid #ffffff;\n  border-radius: 10px;\n  cursor: pointer;\n  background-color: #000 \\9;\n  background-color: rgba(0, 0, 0, 0);\n}\n.carousel-indicators .active {\n  margin: 0;\n  width: 12px;\n  height: 12px;\n  background-color: #ffffff;\n}\n.carousel-caption {\n  position: absolute;\n  left: 15%;\n  right: 15%;\n  bottom: 20px;\n  z-index: 10;\n  padding-top: 20px;\n  padding-bottom: 20px;\n  color: #ffffff;\n  text-align: center;\n  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);\n}\n.carousel-caption .btn {\n  text-shadow: none;\n}\n@media screen and (min-width: 768px) {\n  .carousel-control .glyphicon-chevron-left,\n  .carousel-control .glyphicon-chevron-right,\n  .carousel-control .icon-prev,\n  .carousel-control .icon-next {\n    width: 30px;\n    height: 30px;\n    margin-top: -15px;\n    font-size: 30px;\n  }\n  .carousel-control .glyphicon-chevron-left,\n  .carousel-control .icon-prev {\n    margin-left: -15px;\n  }\n  .carousel-control .glyphicon-chevron-right,\n  .carousel-control .icon-next {\n    margin-right: -15px;\n  }\n  .carousel-caption {\n    left: 20%;\n    right: 20%;\n    padding-bottom: 30px;\n  }\n  .carousel-indicators {\n    bottom: 20px;\n  }\n}\n.clearfix:before,\n.clearfix:after,\n.dl-horizontal dd:before,\n.dl-horizontal dd:after,\n.container:before,\n.container:after,\n.container-fluid:before,\n.container-fluid:after,\n.row:before,\n.row:after,\n.form-horizontal .form-group:before,\n.form-horizontal .form-group:after,\n.btn-toolbar:before,\n.btn-toolbar:after,\n.btn-group-vertical > .btn-group:before,\n.btn-group-vertical > .btn-group:after,\n.nav:before,\n.nav:after,\n.navbar:before,\n.navbar:after,\n.navbar-header:before,\n.navbar-header:after,\n.navbar-collapse:before,\n.navbar-collapse:after,\n.pager:before,\n.pager:after,\n.panel-body:before,\n.panel-body:after,\n.modal-footer:before,\n.modal-footer:after {\n  content: \" \";\n  display: table;\n}\n.clearfix:after,\n.dl-horizontal dd:after,\n.container:after,\n.container-fluid:after,\n.row:after,\n.form-horizontal .form-group:after,\n.btn-toolbar:after,\n.btn-group-vertical > .btn-group:after,\n.nav:after,\n.navbar:after,\n.navbar-header:after,\n.navbar-collapse:after,\n.pager:after,\n.panel-body:after,\n.modal-footer:after {\n  clear: both;\n}\n.center-block {\n  display: block;\n  margin-left: auto;\n  margin-right: auto;\n}\n.pull-right {\n  float: right !important;\n}\n.pull-left {\n  float: left !important;\n}\n.hide {\n  display: none !important;\n}\n.show {\n  display: block !important;\n}\n.invisible {\n  visibility: hidden;\n}\n.text-hide {\n  font: 0/0 a;\n  color: transparent;\n  text-shadow: none;\n  background-color: transparent;\n  border: 0;\n}\n.hidden {\n  display: none !important;\n}\n.affix {\n  position: fixed;\n}\n@-ms-viewport {\n  width: device-width;\n}\n.visible-xs,\n.visible-sm,\n.visible-md,\n.visible-lg {\n  display: none !important;\n}\n.visible-xs-block,\n.visible-xs-inline,\n.visible-xs-inline-block,\n.visible-sm-block,\n.visible-sm-inline,\n.visible-sm-inline-block,\n.visible-md-block,\n.visible-md-inline,\n.visible-md-inline-block,\n.visible-lg-block,\n.visible-lg-inline,\n.visible-lg-inline-block {\n  display: none !important;\n}\n@media (max-width: 767px) {\n  .visible-xs {\n    display: block !important;\n  }\n  table.visible-xs {\n    display: table;\n  }\n  tr.visible-xs {\n    display: table-row !important;\n  }\n  th.visible-xs,\n  td.visible-xs {\n    display: table-cell !important;\n  }\n}\n@media (max-width: 767px) {\n  .visible-xs-block {\n    display: block !important;\n  }\n}\n@media (max-width: 767px) {\n  .visible-xs-inline {\n    display: inline !important;\n  }\n}\n@media (max-width: 767px) {\n  .visible-xs-inline-block {\n    display: inline-block !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .visible-sm {\n    display: block !important;\n  }\n  table.visible-sm {\n    display: table;\n  }\n  tr.visible-sm {\n    display: table-row !important;\n  }\n  th.visible-sm,\n  td.visible-sm {\n    display: table-cell !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .visible-sm-block {\n    display: block !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .visible-sm-inline {\n    display: inline !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .visible-sm-inline-block {\n    display: inline-block !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .visible-md {\n    display: block !important;\n  }\n  table.visible-md {\n    display: table;\n  }\n  tr.visible-md {\n    display: table-row !important;\n  }\n  th.visible-md,\n  td.visible-md {\n    display: table-cell !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .visible-md-block {\n    display: block !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .visible-md-inline {\n    display: inline !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .visible-md-inline-block {\n    display: inline-block !important;\n  }\n}\n@media (min-width: 1200px) {\n  .visible-lg {\n    display: block !important;\n  }\n  table.visible-lg {\n    display: table;\n  }\n  tr.visible-lg {\n    display: table-row !important;\n  }\n  th.visible-lg,\n  td.visible-lg {\n    display: table-cell !important;\n  }\n}\n@media (min-width: 1200px) {\n  .visible-lg-block {\n    display: block !important;\n  }\n}\n@media (min-width: 1200px) {\n  .visible-lg-inline {\n    display: inline !important;\n  }\n}\n@media (min-width: 1200px) {\n  .visible-lg-inline-block {\n    display: inline-block !important;\n  }\n}\n@media (max-width: 767px) {\n  .hidden-xs {\n    display: none !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .hidden-sm {\n    display: none !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .hidden-md {\n    display: none !important;\n  }\n}\n@media (min-width: 1200px) {\n  .hidden-lg {\n    display: none !important;\n  }\n}\n.visible-print {\n  display: none !important;\n}\n@media print {\n  .visible-print {\n    display: block !important;\n  }\n  table.visible-print {\n    display: table;\n  }\n  tr.visible-print {\n    display: table-row !important;\n  }\n  th.visible-print,\n  td.visible-print {\n    display: table-cell !important;\n  }\n}\n.visible-print-block {\n  display: none !important;\n}\n@media print {\n  .visible-print-block {\n    display: block !important;\n  }\n}\n.visible-print-inline {\n  display: none !important;\n}\n@media print {\n  .visible-print-inline {\n    display: inline !important;\n  }\n}\n.visible-print-inline-block {\n  display: none !important;\n}\n@media print {\n  .visible-print-inline-block {\n    display: inline-block !important;\n  }\n}\n@media print {\n  .hidden-print {\n    display: none !important;\n  }\n}\n/*# sourceMappingURL=bootstrap.css.map */","/*! normalize.css v3.0.2 | MIT License | git.io/normalize */\n\n//\n// 1. Set default font family to sans-serif.\n// 2. Prevent iOS text size adjust after orientation change, without disabling\n//    user zoom.\n//\n\nhtml {\n  font-family: sans-serif; // 1\n  -ms-text-size-adjust: 100%; // 2\n  -webkit-text-size-adjust: 100%; // 2\n}\n\n//\n// Remove default margin.\n//\n\nbody {\n  margin: 0;\n}\n\n// HTML5 display definitions\n// ==========================================================================\n\n//\n// Correct `block` display not defined for any HTML5 element in IE 8/9.\n// Correct `block` display not defined for `details` or `summary` in IE 10/11\n// and Firefox.\n// Correct `block` display not defined for `main` in IE 11.\n//\n\narticle,\naside,\ndetails,\nfigcaption,\nfigure,\nfooter,\nheader,\nhgroup,\nmain,\nmenu,\nnav,\nsection,\nsummary {\n  display: block;\n}\n\n//\n// 1. Correct `inline-block` display not defined in IE 8/9.\n// 2. Normalize vertical alignment of `progress` in Chrome, Firefox, and Opera.\n//\n\naudio,\ncanvas,\nprogress,\nvideo {\n  display: inline-block; // 1\n  vertical-align: baseline; // 2\n}\n\n//\n// Prevent modern browsers from displaying `audio` without controls.\n// Remove excess height in iOS 5 devices.\n//\n\naudio:not([controls]) {\n  display: none;\n  height: 0;\n}\n\n//\n// Address `[hidden]` styling not present in IE 8/9/10.\n// Hide the `template` element in IE 8/9/11, Safari, and Firefox < 22.\n//\n\n[hidden],\ntemplate {\n  display: none;\n}\n\n// Links\n// ==========================================================================\n\n//\n// Remove the gray background color from active links in IE 10.\n//\n\na {\n  background-color: transparent;\n}\n\n//\n// Improve readability when focused and also mouse hovered in all browsers.\n//\n\na:active,\na:hover {\n  outline: 0;\n}\n\n// Text-level semantics\n// ==========================================================================\n\n//\n// Address styling not present in IE 8/9/10/11, Safari, and Chrome.\n//\n\nabbr[title] {\n  border-bottom: 1px dotted;\n}\n\n//\n// Address style set to `bolder` in Firefox 4+, Safari, and Chrome.\n//\n\nb,\nstrong {\n  font-weight: bold;\n}\n\n//\n// Address styling not present in Safari and Chrome.\n//\n\ndfn {\n  font-style: italic;\n}\n\n//\n// Address variable `h1` font-size and margin within `section` and `article`\n// contexts in Firefox 4+, Safari, and Chrome.\n//\n\nh1 {\n  font-size: 2em;\n  margin: 0.67em 0;\n}\n\n//\n// Address styling not present in IE 8/9.\n//\n\nmark {\n  background: #ff0;\n  color: #000;\n}\n\n//\n// Address inconsistent and variable font size in all browsers.\n//\n\nsmall {\n  font-size: 80%;\n}\n\n//\n// Prevent `sub` and `sup` affecting `line-height` in all browsers.\n//\n\nsub,\nsup {\n  font-size: 75%;\n  line-height: 0;\n  position: relative;\n  vertical-align: baseline;\n}\n\nsup {\n  top: -0.5em;\n}\n\nsub {\n  bottom: -0.25em;\n}\n\n// Embedded content\n// ==========================================================================\n\n//\n// Remove border when inside `a` element in IE 8/9/10.\n//\n\nimg {\n  border: 0;\n}\n\n//\n// Correct overflow not hidden in IE 9/10/11.\n//\n\nsvg:not(:root) {\n  overflow: hidden;\n}\n\n// Grouping content\n// ==========================================================================\n\n//\n// Address margin not present in IE 8/9 and Safari.\n//\n\nfigure {\n  margin: 1em 40px;\n}\n\n//\n// Address differences between Firefox and other browsers.\n//\n\nhr {\n  -moz-box-sizing: content-box;\n  box-sizing: content-box;\n  height: 0;\n}\n\n//\n// Contain overflow in all browsers.\n//\n\npre {\n  overflow: auto;\n}\n\n//\n// Address odd `em`-unit font size rendering in all browsers.\n//\n\ncode,\nkbd,\npre,\nsamp {\n  font-family: monospace, monospace;\n  font-size: 1em;\n}\n\n// Forms\n// ==========================================================================\n\n//\n// Known limitation: by default, Chrome and Safari on OS X allow very limited\n// styling of `select`, unless a `border` property is set.\n//\n\n//\n// 1. Correct color not being inherited.\n//    Known issue: affects color of disabled elements.\n// 2. Correct font properties not being inherited.\n// 3. Address margins set differently in Firefox 4+, Safari, and Chrome.\n//\n\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n  color: inherit; // 1\n  font: inherit; // 2\n  margin: 0; // 3\n}\n\n//\n// Address `overflow` set to `hidden` in IE 8/9/10/11.\n//\n\nbutton {\n  overflow: visible;\n}\n\n//\n// Address inconsistent `text-transform` inheritance for `button` and `select`.\n// All other form control elements do not inherit `text-transform` values.\n// Correct `button` style inheritance in Firefox, IE 8/9/10/11, and Opera.\n// Correct `select` style inheritance in Firefox.\n//\n\nbutton,\nselect {\n  text-transform: none;\n}\n\n//\n// 1. Avoid the WebKit bug in Android 4.0.* where (2) destroys native `audio`\n//    and `video` controls.\n// 2. Correct inability to style clickable `input` types in iOS.\n// 3. Improve usability and consistency of cursor style between image-type\n//    `input` and others.\n//\n\nbutton,\nhtml input[type=\"button\"], // 1\ninput[type=\"reset\"],\ninput[type=\"submit\"] {\n  -webkit-appearance: button; // 2\n  cursor: pointer; // 3\n}\n\n//\n// Re-set default cursor for disabled elements.\n//\n\nbutton[disabled],\nhtml input[disabled] {\n  cursor: default;\n}\n\n//\n// Remove inner padding and border in Firefox 4+.\n//\n\nbutton::-moz-focus-inner,\ninput::-moz-focus-inner {\n  border: 0;\n  padding: 0;\n}\n\n//\n// Address Firefox 4+ setting `line-height` on `input` using `!important` in\n// the UA stylesheet.\n//\n\ninput {\n  line-height: normal;\n}\n\n//\n// It's recommended that you don't attempt to style these elements.\n// Firefox's implementation doesn't respect box-sizing, padding, or width.\n//\n// 1. Address box sizing set to `content-box` in IE 8/9/10.\n// 2. Remove excess padding in IE 8/9/10.\n//\n\ninput[type=\"checkbox\"],\ninput[type=\"radio\"] {\n  box-sizing: border-box; // 1\n  padding: 0; // 2\n}\n\n//\n// Fix the cursor style for Chrome's increment/decrement buttons. For certain\n// `font-size` values of the `input`, it causes the cursor style of the\n// decrement button to change from `default` to `text`.\n//\n\ninput[type=\"number\"]::-webkit-inner-spin-button,\ninput[type=\"number\"]::-webkit-outer-spin-button {\n  height: auto;\n}\n\n//\n// 1. Address `appearance` set to `searchfield` in Safari and Chrome.\n// 2. Address `box-sizing` set to `border-box` in Safari and Chrome\n//    (include `-moz` to future-proof).\n//\n\ninput[type=\"search\"] {\n  -webkit-appearance: textfield; // 1\n  -moz-box-sizing: content-box;\n  -webkit-box-sizing: content-box; // 2\n  box-sizing: content-box;\n}\n\n//\n// Remove inner padding and search cancel button in Safari and Chrome on OS X.\n// Safari (but not Chrome) clips the cancel button when the search input has\n// padding (and `textfield` appearance).\n//\n\ninput[type=\"search\"]::-webkit-search-cancel-button,\ninput[type=\"search\"]::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\n\n//\n// Define consistent border, margin, and padding.\n//\n\nfieldset {\n  border: 1px solid #c0c0c0;\n  margin: 0 2px;\n  padding: 0.35em 0.625em 0.75em;\n}\n\n//\n// 1. Correct `color` not being inherited in IE 8/9/10/11.\n// 2. Remove padding so people aren't caught out if they zero out fieldsets.\n//\n\nlegend {\n  border: 0; // 1\n  padding: 0; // 2\n}\n\n//\n// Remove default vertical scrollbar in IE 8/9/10/11.\n//\n\ntextarea {\n  overflow: auto;\n}\n\n//\n// Don't inherit the `font-weight` (applied by a rule above).\n// NOTE: the default cannot safely be changed in Chrome and Safari on OS X.\n//\n\noptgroup {\n  font-weight: bold;\n}\n\n// Tables\n// ==========================================================================\n\n//\n// Remove most spacing between table cells.\n//\n\ntable {\n  border-collapse: collapse;\n  border-spacing: 0;\n}\n\ntd,\nth {\n  padding: 0;\n}\n","/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */\n\n// ==========================================================================\n// Print styles.\n// Inlined to avoid the additional HTTP request: h5bp.com/r\n// ==========================================================================\n\n@media print {\n    *,\n    *:before,\n    *:after {\n        background: transparent !important;\n        color: #000 !important; // Black prints faster: h5bp.com/s\n        box-shadow: none !important;\n        text-shadow: none !important;\n    }\n\n    a,\n    a:visited {\n        text-decoration: underline;\n    }\n\n    a[href]:after {\n        content: \" (\" attr(href) \")\";\n    }\n\n    abbr[title]:after {\n        content: \" (\" attr(title) \")\";\n    }\n\n    // Don't show links that are fragment identifiers,\n    // or use the `javascript:` pseudo protocol\n    a[href^=\"#\"]:after,\n    a[href^=\"javascript:\"]:after {\n        content: \"\";\n    }\n\n    pre,\n    blockquote {\n        border: 1px solid #999;\n        page-break-inside: avoid;\n    }\n\n    thead {\n        display: table-header-group; // h5bp.com/t\n    }\n\n    tr,\n    img {\n        page-break-inside: avoid;\n    }\n\n    img {\n        max-width: 100% !important;\n    }\n\n    p,\n    h2,\n    h3 {\n        orphans: 3;\n        widows: 3;\n    }\n\n    h2,\n    h3 {\n        page-break-after: avoid;\n    }\n\n    // Bootstrap specific changes start\n    //\n    // Chrome (OSX) fix for https://github.com/twbs/bootstrap/issues/11245\n    // Once fixed, we can just straight up remove this.\n    select {\n        background: #fff !important;\n    }\n\n    // Bootstrap components\n    .navbar {\n        display: none;\n    }\n    .btn,\n    .dropup > .btn {\n        > .caret {\n            border-top-color: #000 !important;\n        }\n    }\n    .label {\n        border: 1px solid #000;\n    }\n\n    .table {\n        border-collapse: collapse !important;\n\n        td,\n        th {\n            background-color: #fff !important;\n        }\n    }\n    .table-bordered {\n        th,\n        td {\n            border: 1px solid #ddd !important;\n        }\n    }\n\n    // Bootstrap specific changes end\n}\n","//\n// Glyphicons for Bootstrap\n//\n// Since icons are fonts, they can be placed anywhere text is placed and are\n// thus automatically sized to match the surrounding child. To use, create an\n// inline element with the appropriate classes, like so:\n//\n//  Star\n\n// Import the fonts\n@font-face {\n  font-family: 'Glyphicons Halflings';\n  src: url('@{icon-font-path}@{icon-font-name}.eot');\n  src: url('@{icon-font-path}@{icon-font-name}.eot?#iefix') format('embedded-opentype'),\n       url('@{icon-font-path}@{icon-font-name}.woff2') format('woff2'),\n       url('@{icon-font-path}@{icon-font-name}.woff') format('woff'),\n       url('@{icon-font-path}@{icon-font-name}.ttf') format('truetype'),\n       url('@{icon-font-path}@{icon-font-name}.svg#@{icon-font-svg-id}') format('svg');\n}\n\n// Catchall baseclass\n.glyphicon {\n  position: relative;\n  top: 1px;\n  display: inline-block;\n  font-family: 'Glyphicons Halflings';\n  font-style: normal;\n  font-weight: normal;\n  line-height: 1;\n  -webkit-font-smoothing: antialiased;\n  -moz-osx-font-smoothing: grayscale;\n}\n\n// Individual icons\n.glyphicon-asterisk               { &:before { content: \"\\2a\"; } }\n.glyphicon-plus                   { &:before { content: \"\\2b\"; } }\n.glyphicon-euro,\n.glyphicon-eur                    { &:before { content: \"\\20ac\"; } }\n.glyphicon-minus                  { &:before { content: \"\\2212\"; } }\n.glyphicon-cloud                  { &:before { content: \"\\2601\"; } }\n.glyphicon-envelope               { &:before { content: \"\\2709\"; } }\n.glyphicon-pencil                 { &:before { content: \"\\270f\"; } }\n.glyphicon-glass                  { &:before { content: \"\\e001\"; } }\n.glyphicon-music                  { &:before { content: \"\\e002\"; } }\n.glyphicon-search                 { &:before { content: \"\\e003\"; } }\n.glyphicon-heart                  { &:before { content: \"\\e005\"; } }\n.glyphicon-star                   { &:before { content: \"\\e006\"; } }\n.glyphicon-star-empty             { &:before { content: \"\\e007\"; } }\n.glyphicon-user                   { &:before { content: \"\\e008\"; } }\n.glyphicon-film                   { &:before { content: \"\\e009\"; } }\n.glyphicon-th-large               { &:before { content: \"\\e010\"; } }\n.glyphicon-th                     { &:before { content: \"\\e011\"; } }\n.glyphicon-th-list                { &:before { content: \"\\e012\"; } }\n.glyphicon-ok                     { &:before { content: \"\\e013\"; } }\n.glyphicon-remove                 { &:before { content: \"\\e014\"; } }\n.glyphicon-zoom-in                { &:before { content: \"\\e015\"; } }\n.glyphicon-zoom-out               { &:before { content: \"\\e016\"; } }\n.glyphicon-off                    { &:before { content: \"\\e017\"; } }\n.glyphicon-signal                 { &:before { content: \"\\e018\"; } }\n.glyphicon-cog                    { &:before { content: \"\\e019\"; } }\n.glyphicon-trash                  { &:before { content: \"\\e020\"; } }\n.glyphicon-home                   { &:before { content: \"\\e021\"; } }\n.glyphicon-file                   { &:before { content: \"\\e022\"; } }\n.glyphicon-time                   { &:before { content: \"\\e023\"; } }\n.glyphicon-road                   { &:before { content: \"\\e024\"; } }\n.glyphicon-download-alt           { &:before { content: \"\\e025\"; } }\n.glyphicon-download               { &:before { content: \"\\e026\"; } }\n.glyphicon-upload                 { &:before { content: \"\\e027\"; } }\n.glyphicon-inbox                  { &:before { content: \"\\e028\"; } }\n.glyphicon-play-circle            { &:before { content: \"\\e029\"; } }\n.glyphicon-repeat                 { &:before { content: \"\\e030\"; } }\n.glyphicon-refresh                { &:before { content: \"\\e031\"; } }\n.glyphicon-list-alt               { &:before { content: \"\\e032\"; } }\n.glyphicon-lock                   { &:before { content: \"\\e033\"; } }\n.glyphicon-flag                   { &:before { content: \"\\e034\"; } }\n.glyphicon-headphones             { &:before { content: \"\\e035\"; } }\n.glyphicon-volume-off             { &:before { content: \"\\e036\"; } }\n.glyphicon-volume-down            { &:before { content: \"\\e037\"; } }\n.glyphicon-volume-up              { &:before { content: \"\\e038\"; } }\n.glyphicon-qrcode                 { &:before { content: \"\\e039\"; } }\n.glyphicon-barcode                { &:before { content: \"\\e040\"; } }\n.glyphicon-tag                    { &:before { content: \"\\e041\"; } }\n.glyphicon-tags                   { &:before { content: \"\\e042\"; } }\n.glyphicon-book                   { &:before { content: \"\\e043\"; } }\n.glyphicon-bookmark               { &:before { content: \"\\e044\"; } }\n.glyphicon-print                  { &:before { content: \"\\e045\"; } }\n.glyphicon-camera                 { &:before { content: \"\\e046\"; } }\n.glyphicon-font                   { &:before { content: \"\\e047\"; } }\n.glyphicon-bold                   { &:before { content: \"\\e048\"; } }\n.glyphicon-italic                 { &:before { content: \"\\e049\"; } }\n.glyphicon-text-height            { &:before { content: \"\\e050\"; } }\n.glyphicon-text-width             { &:before { content: \"\\e051\"; } }\n.glyphicon-align-left             { &:before { content: \"\\e052\"; } }\n.glyphicon-align-center           { &:before { content: \"\\e053\"; } }\n.glyphicon-align-right            { &:before { content: \"\\e054\"; } }\n.glyphicon-align-justify          { &:before { content: \"\\e055\"; } }\n.glyphicon-list                   { &:before { content: \"\\e056\"; } }\n.glyphicon-indent-left            { &:before { content: \"\\e057\"; } }\n.glyphicon-indent-right           { &:before { content: \"\\e058\"; } }\n.glyphicon-facetime-video         { &:before { content: \"\\e059\"; } }\n.glyphicon-picture                { &:before { content: \"\\e060\"; } }\n.glyphicon-map-marker             { &:before { content: \"\\e062\"; } }\n.glyphicon-adjust                 { &:before { content: \"\\e063\"; } }\n.glyphicon-tint                   { &:before { content: \"\\e064\"; } }\n.glyphicon-edit                   { &:before { content: \"\\e065\"; } }\n.glyphicon-share                  { &:before { content: \"\\e066\"; } }\n.glyphicon-check                  { &:before { content: \"\\e067\"; } }\n.glyphicon-move                   { &:before { content: \"\\e068\"; } }\n.glyphicon-step-backward          { &:before { content: \"\\e069\"; } }\n.glyphicon-fast-backward          { &:before { content: \"\\e070\"; } }\n.glyphicon-backward               { &:before { content: \"\\e071\"; } }\n.glyphicon-play                   { &:before { content: \"\\e072\"; } }\n.glyphicon-pause                  { &:before { content: \"\\e073\"; } }\n.glyphicon-stop                   { &:before { content: \"\\e074\"; } }\n.glyphicon-forward                { &:before { content: \"\\e075\"; } }\n.glyphicon-fast-forward           { &:before { content: \"\\e076\"; } }\n.glyphicon-step-forward           { &:before { content: \"\\e077\"; } }\n.glyphicon-eject                  { &:before { content: \"\\e078\"; } }\n.glyphicon-chevron-left           { &:before { content: \"\\e079\"; } }\n.glyphicon-chevron-right          { &:before { content: \"\\e080\"; } }\n.glyphicon-plus-sign              { &:before { content: \"\\e081\"; } }\n.glyphicon-minus-sign             { &:before { content: \"\\e082\"; } }\n.glyphicon-remove-sign            { &:before { content: \"\\e083\"; } }\n.glyphicon-ok-sign                { &:before { content: \"\\e084\"; } }\n.glyphicon-question-sign          { &:before { content: \"\\e085\"; } }\n.glyphicon-info-sign              { &:before { content: \"\\e086\"; } }\n.glyphicon-screenshot             { &:before { content: \"\\e087\"; } }\n.glyphicon-remove-circle          { &:before { content: \"\\e088\"; } }\n.glyphicon-ok-circle              { &:before { content: \"\\e089\"; } }\n.glyphicon-ban-circle             { &:before { content: \"\\e090\"; } }\n.glyphicon-arrow-left             { &:before { content: \"\\e091\"; } }\n.glyphicon-arrow-right            { &:before { content: \"\\e092\"; } }\n.glyphicon-arrow-up               { &:before { content: \"\\e093\"; } }\n.glyphicon-arrow-down             { &:before { content: \"\\e094\"; } }\n.glyphicon-share-alt              { &:before { content: \"\\e095\"; } }\n.glyphicon-resize-full            { &:before { content: \"\\e096\"; } }\n.glyphicon-resize-small           { &:before { content: \"\\e097\"; } }\n.glyphicon-exclamation-sign       { &:before { content: \"\\e101\"; } }\n.glyphicon-gift                   { &:before { content: \"\\e102\"; } }\n.glyphicon-leaf                   { &:before { content: \"\\e103\"; } }\n.glyphicon-fire                   { &:before { content: \"\\e104\"; } }\n.glyphicon-eye-open               { &:before { content: \"\\e105\"; } }\n.glyphicon-eye-close              { &:before { content: \"\\e106\"; } }\n.glyphicon-warning-sign           { &:before { content: \"\\e107\"; } }\n.glyphicon-plane                  { &:before { content: \"\\e108\"; } }\n.glyphicon-calendar               { &:before { content: \"\\e109\"; } }\n.glyphicon-random                 { &:before { content: \"\\e110\"; } }\n.glyphicon-comment                { &:before { content: \"\\e111\"; } }\n.glyphicon-magnet                 { &:before { content: \"\\e112\"; } }\n.glyphicon-chevron-up             { &:before { content: \"\\e113\"; } }\n.glyphicon-chevron-down           { &:before { content: \"\\e114\"; } }\n.glyphicon-retweet                { &:before { content: \"\\e115\"; } }\n.glyphicon-shopping-cart          { &:before { content: \"\\e116\"; } }\n.glyphicon-folder-close           { &:before { content: \"\\e117\"; } }\n.glyphicon-folder-open            { &:before { content: \"\\e118\"; } }\n.glyphicon-resize-vertical        { &:before { content: \"\\e119\"; } }\n.glyphicon-resize-horizontal      { &:before { content: \"\\e120\"; } }\n.glyphicon-hdd                    { &:before { content: \"\\e121\"; } }\n.glyphicon-bullhorn               { &:before { content: \"\\e122\"; } }\n.glyphicon-bell                   { &:before { content: \"\\e123\"; } }\n.glyphicon-certificate            { &:before { content: \"\\e124\"; } }\n.glyphicon-thumbs-up              { &:before { content: \"\\e125\"; } }\n.glyphicon-thumbs-down            { &:before { content: \"\\e126\"; } }\n.glyphicon-hand-right             { &:before { content: \"\\e127\"; } }\n.glyphicon-hand-left              { &:before { content: \"\\e128\"; } }\n.glyphicon-hand-up                { &:before { content: \"\\e129\"; } }\n.glyphicon-hand-down              { &:before { content: \"\\e130\"; } }\n.glyphicon-circle-arrow-right     { &:before { content: \"\\e131\"; } }\n.glyphicon-circle-arrow-left      { &:before { content: \"\\e132\"; } }\n.glyphicon-circle-arrow-up        { &:before { content: \"\\e133\"; } }\n.glyphicon-circle-arrow-down      { &:before { content: \"\\e134\"; } }\n.glyphicon-globe                  { &:before { content: \"\\e135\"; } }\n.glyphicon-wrench                 { &:before { content: \"\\e136\"; } }\n.glyphicon-tasks                  { &:before { content: \"\\e137\"; } }\n.glyphicon-filter                 { &:before { content: \"\\e138\"; } }\n.glyphicon-briefcase              { &:before { content: \"\\e139\"; } }\n.glyphicon-fullscreen             { &:before { content: \"\\e140\"; } }\n.glyphicon-dashboard              { &:before { content: \"\\e141\"; } }\n.glyphicon-paperclip              { &:before { content: \"\\e142\"; } }\n.glyphicon-heart-empty            { &:before { content: \"\\e143\"; } }\n.glyphicon-link                   { &:before { content: \"\\e144\"; } }\n.glyphicon-phone                  { &:before { content: \"\\e145\"; } }\n.glyphicon-pushpin                { &:before { content: \"\\e146\"; } }\n.glyphicon-usd                    { &:before { content: \"\\e148\"; } }\n.glyphicon-gbp                    { &:before { content: \"\\e149\"; } }\n.glyphicon-sort                   { &:before { content: \"\\e150\"; } }\n.glyphicon-sort-by-alphabet       { &:before { content: \"\\e151\"; } }\n.glyphicon-sort-by-alphabet-alt   { &:before { content: \"\\e152\"; } }\n.glyphicon-sort-by-order          { &:before { content: \"\\e153\"; } }\n.glyphicon-sort-by-order-alt      { &:before { content: \"\\e154\"; } }\n.glyphicon-sort-by-attributes     { &:before { content: \"\\e155\"; } }\n.glyphicon-sort-by-attributes-alt { &:before { content: \"\\e156\"; } }\n.glyphicon-unchecked              { &:before { content: \"\\e157\"; } }\n.glyphicon-expand                 { &:before { content: \"\\e158\"; } }\n.glyphicon-collapse-down          { &:before { content: \"\\e159\"; } }\n.glyphicon-collapse-up            { &:before { content: \"\\e160\"; } }\n.glyphicon-log-in                 { &:before { content: \"\\e161\"; } }\n.glyphicon-flash                  { &:before { content: \"\\e162\"; } }\n.glyphicon-log-out                { &:before { content: \"\\e163\"; } }\n.glyphicon-new-window             { &:before { content: \"\\e164\"; } }\n.glyphicon-record                 { &:before { content: \"\\e165\"; } }\n.glyphicon-save                   { &:before { content: \"\\e166\"; } }\n.glyphicon-open                   { &:before { content: \"\\e167\"; } }\n.glyphicon-saved                  { &:before { content: \"\\e168\"; } }\n.glyphicon-import                 { &:before { content: \"\\e169\"; } }\n.glyphicon-export                 { &:before { content: \"\\e170\"; } }\n.glyphicon-send                   { &:before { content: \"\\e171\"; } }\n.glyphicon-floppy-disk            { &:before { content: \"\\e172\"; } }\n.glyphicon-floppy-saved           { &:before { content: \"\\e173\"; } }\n.glyphicon-floppy-remove          { &:before { content: \"\\e174\"; } }\n.glyphicon-floppy-save            { &:before { content: \"\\e175\"; } }\n.glyphicon-floppy-open            { &:before { content: \"\\e176\"; } }\n.glyphicon-credit-card            { &:before { content: \"\\e177\"; } }\n.glyphicon-transfer               { &:before { content: \"\\e178\"; } }\n.glyphicon-cutlery                { &:before { content: \"\\e179\"; } }\n.glyphicon-header                 { &:before { content: \"\\e180\"; } }\n.glyphicon-compressed             { &:before { content: \"\\e181\"; } }\n.glyphicon-earphone               { &:before { content: \"\\e182\"; } }\n.glyphicon-phone-alt              { &:before { content: \"\\e183\"; } }\n.glyphicon-tower                  { &:before { content: \"\\e184\"; } }\n.glyphicon-stats                  { &:before { content: \"\\e185\"; } }\n.glyphicon-sd-video               { &:before { content: \"\\e186\"; } }\n.glyphicon-hd-video               { &:before { content: \"\\e187\"; } }\n.glyphicon-subtitles              { &:before { content: \"\\e188\"; } }\n.glyphicon-sound-stereo           { &:before { content: \"\\e189\"; } }\n.glyphicon-sound-dolby            { &:before { content: \"\\e190\"; } }\n.glyphicon-sound-5-1              { &:before { content: \"\\e191\"; } }\n.glyphicon-sound-6-1              { &:before { content: \"\\e192\"; } }\n.glyphicon-sound-7-1              { &:before { content: \"\\e193\"; } }\n.glyphicon-copyright-mark         { &:before { content: \"\\e194\"; } }\n.glyphicon-registration-mark      { &:before { content: \"\\e195\"; } }\n.glyphicon-cloud-download         { &:before { content: \"\\e197\"; } }\n.glyphicon-cloud-upload           { &:before { content: \"\\e198\"; } }\n.glyphicon-tree-conifer           { &:before { content: \"\\e199\"; } }\n.glyphicon-tree-deciduous         { &:before { content: \"\\e200\"; } }\n.glyphicon-cd                     { &:before { content: \"\\e201\"; } }\n.glyphicon-save-file              { &:before { content: \"\\e202\"; } }\n.glyphicon-open-file              { &:before { content: \"\\e203\"; } }\n.glyphicon-level-up               { &:before { content: \"\\e204\"; } }\n.glyphicon-copy                   { &:before { content: \"\\e205\"; } }\n.glyphicon-paste                  { &:before { content: \"\\e206\"; } }\n// The following 2 Glyphicons are omitted for the time being because\n// they currently use Unicode codepoints that are outside the\n// Basic Multilingual Plane (BMP). Older buggy versions of WebKit can't handle\n// non-BMP codepoints in CSS string escapes, and thus can't display these two icons.\n// Notably, the bug affects some older versions of the Android Browser.\n// More info: https://github.com/twbs/bootstrap/issues/10106\n// .glyphicon-door                   { &:before { content: \"\\1f6aa\"; } }\n// .glyphicon-key                    { &:before { content: \"\\1f511\"; } }\n.glyphicon-alert                  { &:before { content: \"\\e209\"; } }\n.glyphicon-equalizer              { &:before { content: \"\\e210\"; } }\n.glyphicon-king                   { &:before { content: \"\\e211\"; } }\n.glyphicon-queen                  { &:before { content: \"\\e212\"; } }\n.glyphicon-pawn                   { &:before { content: \"\\e213\"; } }\n.glyphicon-bishop                 { &:before { content: \"\\e214\"; } }\n.glyphicon-knight                 { &:before { content: \"\\e215\"; } }\n.glyphicon-baby-formula           { &:before { content: \"\\e216\"; } }\n.glyphicon-tent                   { &:before { content: \"\\26fa\"; } }\n.glyphicon-blackboard             { &:before { content: \"\\e218\"; } }\n.glyphicon-bed                    { &:before { content: \"\\e219\"; } }\n.glyphicon-apple                  { &:before { content: \"\\f8ff\"; } }\n.glyphicon-erase                  { &:before { content: \"\\e221\"; } }\n.glyphicon-hourglass              { &:before { content: \"\\231b\"; } }\n.glyphicon-lamp                   { &:before { content: \"\\e223\"; } }\n.glyphicon-duplicate              { &:before { content: \"\\e224\"; } }\n.glyphicon-piggy-bank             { &:before { content: \"\\e225\"; } }\n.glyphicon-scissors               { &:before { content: \"\\e226\"; } }\n.glyphicon-bitcoin                { &:before { content: \"\\e227\"; } }\n.glyphicon-btc                    { &:before { content: \"\\e227\"; } }\n.glyphicon-xbt                    { &:before { content: \"\\e227\"; } }\n.glyphicon-yen                    { &:before { content: \"\\00a5\"; } }\n.glyphicon-jpy                    { &:before { content: \"\\00a5\"; } }\n.glyphicon-ruble                  { &:before { content: \"\\20bd\"; } }\n.glyphicon-rub                    { &:before { content: \"\\20bd\"; } }\n.glyphicon-scale                  { &:before { content: \"\\e230\"; } }\n.glyphicon-ice-lolly              { &:before { content: \"\\e231\"; } }\n.glyphicon-ice-lolly-tasted       { &:before { content: \"\\e232\"; } }\n.glyphicon-education              { &:before { content: \"\\e233\"; } }\n.glyphicon-option-horizontal      { &:before { content: \"\\e234\"; } }\n.glyphicon-option-vertical        { &:before { content: \"\\e235\"; } }\n.glyphicon-menu-hamburger         { &:before { content: \"\\e236\"; } }\n.glyphicon-modal-window           { &:before { content: \"\\e237\"; } }\n.glyphicon-oil                    { &:before { content: \"\\e238\"; } }\n.glyphicon-grain                  { &:before { content: \"\\e239\"; } }\n.glyphicon-sunglasses             { &:before { content: \"\\e240\"; } }\n.glyphicon-text-size              { &:before { content: \"\\e241\"; } }\n.glyphicon-text-color             { &:before { content: \"\\e242\"; } }\n.glyphicon-text-background        { &:before { content: \"\\e243\"; } }\n.glyphicon-object-align-top       { &:before { content: \"\\e244\"; } }\n.glyphicon-object-align-bottom    { &:before { content: \"\\e245\"; } }\n.glyphicon-object-align-horizontal{ &:before { content: \"\\e246\"; } }\n.glyphicon-object-align-left      { &:before { content: \"\\e247\"; } }\n.glyphicon-object-align-vertical  { &:before { content: \"\\e248\"; } }\n.glyphicon-object-align-right     { &:before { content: \"\\e249\"; } }\n.glyphicon-triangle-right         { &:before { content: \"\\e250\"; } }\n.glyphicon-triangle-left          { &:before { content: \"\\e251\"; } }\n.glyphicon-triangle-bottom        { &:before { content: \"\\e252\"; } }\n.glyphicon-triangle-top           { &:before { content: \"\\e253\"; } }\n.glyphicon-console                { &:before { content: \"\\e254\"; } }\n.glyphicon-superscript            { &:before { content: \"\\e255\"; } }\n.glyphicon-subscript              { &:before { content: \"\\e256\"; } }\n.glyphicon-menu-left              { &:before { content: \"\\e257\"; } }\n.glyphicon-menu-right             { &:before { content: \"\\e258\"; } }\n.glyphicon-menu-down              { &:before { content: \"\\e259\"; } }\n.glyphicon-menu-up                { &:before { content: \"\\e260\"; } }\n","//\n// Scaffolding\n// --------------------------------------------------\n\n\n// Reset the box-sizing\n//\n// Heads up! This reset may cause conflicts with some third-party widgets.\n// For recommendations on resolving such conflicts, see\n// http://getbootstrap.com/getting-started/#third-box-sizing\n* {\n  .box-sizing(border-box);\n}\n*:before,\n*:after {\n  .box-sizing(border-box);\n}\n\n\n// Body reset\n\nhtml {\n  font-size: 10px;\n  -webkit-tap-highlight-color: rgba(0,0,0,0);\n}\n\nbody {\n  font-family: @font-family-base;\n  font-size: @font-size-base;\n  line-height: @line-height-base;\n  color: @text-color;\n  background-color: @body-bg;\n}\n\n// Reset fonts for relevant elements\ninput,\nbutton,\nselect,\ntextarea {\n  font-family: inherit;\n  font-size: inherit;\n  line-height: inherit;\n}\n\n\n// Links\n\na {\n  color: @link-color;\n  text-decoration: none;\n\n  &:hover,\n  &:focus {\n    color: @link-hover-color;\n    text-decoration: @link-hover-decoration;\n  }\n\n  &:focus {\n    .tab-focus();\n  }\n}\n\n\n// Figures\n//\n// We reset this here because previously Normalize had no `figure` margins. This\n// ensures we don't break anyone's use of the element.\n\nfigure {\n  margin: 0;\n}\n\n\n// Images\n\nimg {\n  vertical-align: middle;\n}\n\n// Responsive images (ensure images don't scale beyond their parents)\n.img-responsive {\n  .img-responsive();\n}\n\n// Rounded corners\n.img-rounded {\n  border-radius: @border-radius-large;\n}\n\n// Image thumbnails\n//\n// Heads up! This is mixin-ed into thumbnails.less for `.thumbnail`.\n.img-thumbnail {\n  padding: @thumbnail-padding;\n  line-height: @line-height-base;\n  background-color: @thumbnail-bg;\n  border: 1px solid @thumbnail-border;\n  border-radius: @thumbnail-border-radius;\n  .transition(all .2s ease-in-out);\n\n  // Keep them at most 100% wide\n  .img-responsive(inline-block);\n}\n\n// Perfect circle\n.img-circle {\n  border-radius: 50%; // set radius in percents\n}\n\n\n// Horizontal rules\n\nhr {\n  margin-top:    @line-height-computed;\n  margin-bottom: @line-height-computed;\n  border: 0;\n  border-top: 1px solid @hr-border;\n}\n\n\n// Only display content to screen readers\n//\n// See: http://a11yproject.com/posts/how-to-hide-content/\n\n.sr-only {\n  position: absolute;\n  width: 1px;\n  height: 1px;\n  margin: -1px;\n  padding: 0;\n  overflow: hidden;\n  clip: rect(0,0,0,0);\n  border: 0;\n}\n\n// Use in conjunction with .sr-only to only display content when it's focused.\n// Useful for \"Skip to main content\" links; see http://www.w3.org/TR/2013/NOTE-WCAG20-TECHS-20130905/G1\n// Credit: HTML5 Boilerplate\n\n.sr-only-focusable {\n  &:active,\n  &:focus {\n    position: static;\n    width: auto;\n    height: auto;\n    margin: 0;\n    overflow: visible;\n    clip: auto;\n  }\n}\n\n\n// iOS \"clickable elements\" fix for role=\"button\"\n//\n// Fixes \"clickability\" issue (and more generally, the firing of events such as focus as well)\n// for traditionally non-focusable elements with role=\"button\"\n// see https://developer.mozilla.org/en-US/docs/Web/Events/click#Safari_Mobile\n// Upstream patch for normalize.css submitted: https://github.com/necolas/normalize.css/pull/379 - remove this fix once that is merged\n\n[role=\"button\"] {\n  cursor: pointer;\n}","// Vendor Prefixes\n//\n// All vendor mixins are deprecated as of v3.2.0 due to the introduction of\n// Autoprefixer in our Gruntfile. They will be removed in v4.\n\n// - Animations\n// - Backface visibility\n// - Box shadow\n// - Box sizing\n// - Content columns\n// - Hyphens\n// - Placeholder text\n// - Transformations\n// - Transitions\n// - User Select\n\n\n// Animations\n.animation(@animation) {\n  -webkit-animation: @animation;\n       -o-animation: @animation;\n          animation: @animation;\n}\n.animation-name(@name) {\n  -webkit-animation-name: @name;\n          animation-name: @name;\n}\n.animation-duration(@duration) {\n  -webkit-animation-duration: @duration;\n          animation-duration: @duration;\n}\n.animation-timing-function(@timing-function) {\n  -webkit-animation-timing-function: @timing-function;\n          animation-timing-function: @timing-function;\n}\n.animation-delay(@delay) {\n  -webkit-animation-delay: @delay;\n          animation-delay: @delay;\n}\n.animation-iteration-count(@iteration-count) {\n  -webkit-animation-iteration-count: @iteration-count;\n          animation-iteration-count: @iteration-count;\n}\n.animation-direction(@direction) {\n  -webkit-animation-direction: @direction;\n          animation-direction: @direction;\n}\n.animation-fill-mode(@fill-mode) {\n  -webkit-animation-fill-mode: @fill-mode;\n          animation-fill-mode: @fill-mode;\n}\n\n// Backface visibility\n// Prevent browsers from flickering when using CSS 3D transforms.\n// Default value is `visible`, but can be changed to `hidden`\n\n.backface-visibility(@visibility){\n  -webkit-backface-visibility: @visibility;\n     -moz-backface-visibility: @visibility;\n          backface-visibility: @visibility;\n}\n\n// Drop shadows\n//\n// Note: Deprecated `.box-shadow()` as of v3.1.0 since all of Bootstrap's\n// supported browsers that have box shadow capabilities now support it.\n\n.box-shadow(@shadow) {\n  -webkit-box-shadow: @shadow; // iOS <4.3 & Android <4.1\n          box-shadow: @shadow;\n}\n\n// Box sizing\n.box-sizing(@boxmodel) {\n  -webkit-box-sizing: @boxmodel;\n     -moz-box-sizing: @boxmodel;\n          box-sizing: @boxmodel;\n}\n\n// CSS3 Content Columns\n.content-columns(@column-count; @column-gap: @grid-gutter-width) {\n  -webkit-column-count: @column-count;\n     -moz-column-count: @column-count;\n          column-count: @column-count;\n  -webkit-column-gap: @column-gap;\n     -moz-column-gap: @column-gap;\n          column-gap: @column-gap;\n}\n\n// Optional hyphenation\n.hyphens(@mode: auto) {\n  word-wrap: break-word;\n  -webkit-hyphens: @mode;\n     -moz-hyphens: @mode;\n      -ms-hyphens: @mode; // IE10+\n       -o-hyphens: @mode;\n          hyphens: @mode;\n}\n\n// Placeholder text\n.placeholder(@color: @input-color-placeholder) {\n  // Firefox\n  &::-moz-placeholder {\n    color: @color;\n    opacity: 1; // Override Firefox's unusual default opacity; see https://github.com/twbs/bootstrap/pull/11526\n  }\n  &:-ms-input-placeholder { color: @color; } // Internet Explorer 10+\n  &::-webkit-input-placeholder  { color: @color; } // Safari and Chrome\n}\n\n// Transformations\n.scale(@ratio) {\n  -webkit-transform: scale(@ratio);\n      -ms-transform: scale(@ratio); // IE9 only\n       -o-transform: scale(@ratio);\n          transform: scale(@ratio);\n}\n.scale(@ratioX; @ratioY) {\n  -webkit-transform: scale(@ratioX, @ratioY);\n      -ms-transform: scale(@ratioX, @ratioY); // IE9 only\n       -o-transform: scale(@ratioX, @ratioY);\n          transform: scale(@ratioX, @ratioY);\n}\n.scaleX(@ratio) {\n  -webkit-transform: scaleX(@ratio);\n      -ms-transform: scaleX(@ratio); // IE9 only\n       -o-transform: scaleX(@ratio);\n          transform: scaleX(@ratio);\n}\n.scaleY(@ratio) {\n  -webkit-transform: scaleY(@ratio);\n      -ms-transform: scaleY(@ratio); // IE9 only\n       -o-transform: scaleY(@ratio);\n          transform: scaleY(@ratio);\n}\n.skew(@x; @y) {\n  -webkit-transform: skewX(@x) skewY(@y);\n      -ms-transform: skewX(@x) skewY(@y); // See https://github.com/twbs/bootstrap/issues/4885; IE9+\n       -o-transform: skewX(@x) skewY(@y);\n          transform: skewX(@x) skewY(@y);\n}\n.translate(@x; @y) {\n  -webkit-transform: translate(@x, @y);\n      -ms-transform: translate(@x, @y); // IE9 only\n       -o-transform: translate(@x, @y);\n          transform: translate(@x, @y);\n}\n.translate3d(@x; @y; @z) {\n  -webkit-transform: translate3d(@x, @y, @z);\n          transform: translate3d(@x, @y, @z);\n}\n.rotate(@degrees) {\n  -webkit-transform: rotate(@degrees);\n      -ms-transform: rotate(@degrees); // IE9 only\n       -o-transform: rotate(@degrees);\n          transform: rotate(@degrees);\n}\n.rotateX(@degrees) {\n  -webkit-transform: rotateX(@degrees);\n      -ms-transform: rotateX(@degrees); // IE9 only\n       -o-transform: rotateX(@degrees);\n          transform: rotateX(@degrees);\n}\n.rotateY(@degrees) {\n  -webkit-transform: rotateY(@degrees);\n      -ms-transform: rotateY(@degrees); // IE9 only\n       -o-transform: rotateY(@degrees);\n          transform: rotateY(@degrees);\n}\n.perspective(@perspective) {\n  -webkit-perspective: @perspective;\n     -moz-perspective: @perspective;\n          perspective: @perspective;\n}\n.perspective-origin(@perspective) {\n  -webkit-perspective-origin: @perspective;\n     -moz-perspective-origin: @perspective;\n          perspective-origin: @perspective;\n}\n.transform-origin(@origin) {\n  -webkit-transform-origin: @origin;\n     -moz-transform-origin: @origin;\n      -ms-transform-origin: @origin; // IE9 only\n          transform-origin: @origin;\n}\n\n\n// Transitions\n\n.transition(@transition) {\n  -webkit-transition: @transition;\n       -o-transition: @transition;\n          transition: @transition;\n}\n.transition-property(@transition-property) {\n  -webkit-transition-property: @transition-property;\n          transition-property: @transition-property;\n}\n.transition-delay(@transition-delay) {\n  -webkit-transition-delay: @transition-delay;\n          transition-delay: @transition-delay;\n}\n.transition-duration(@transition-duration) {\n  -webkit-transition-duration: @transition-duration;\n          transition-duration: @transition-duration;\n}\n.transition-timing-function(@timing-function) {\n  -webkit-transition-timing-function: @timing-function;\n          transition-timing-function: @timing-function;\n}\n.transition-transform(@transition) {\n  -webkit-transition: -webkit-transform @transition;\n     -moz-transition: -moz-transform @transition;\n       -o-transition: -o-transform @transition;\n          transition: transform @transition;\n}\n\n\n// User select\n// For selecting text on the page\n\n.user-select(@select) {\n  -webkit-user-select: @select;\n     -moz-user-select: @select;\n      -ms-user-select: @select; // IE10+\n          user-select: @select;\n}\n","// WebKit-style focus\n\n.tab-focus() {\n  // Default\n  outline: thin dotted;\n  // WebKit\n  outline: 5px auto -webkit-focus-ring-color;\n  outline-offset: -2px;\n}\n","// Image Mixins\n// - Responsive image\n// - Retina image\n\n\n// Responsive image\n//\n// Keep images from scaling beyond the width of their parents.\n.img-responsive(@display: block) {\n  display: @display;\n  max-width: 100%; // Part 1: Set a maximum relative to the parent\n  height: auto; // Part 2: Scale the height according to the width, otherwise you get stretching\n}\n\n\n// Retina image\n//\n// Short retina mixin for setting background-image and -size. Note that the\n// spelling of `min--moz-device-pixel-ratio` is intentional.\n.img-retina(@file-1x; @file-2x; @width-1x; @height-1x) {\n  background-image: url(\"@{file-1x}\");\n\n  @media\n  only screen and (-webkit-min-device-pixel-ratio: 2),\n  only screen and (   min--moz-device-pixel-ratio: 2),\n  only screen and (     -o-min-device-pixel-ratio: 2/1),\n  only screen and (        min-device-pixel-ratio: 2),\n  only screen and (                min-resolution: 192dpi),\n  only screen and (                min-resolution: 2dppx) {\n    background-image: url(\"@{file-2x}\");\n    background-size: @width-1x @height-1x;\n  }\n}\n","//\n// Typography\n// --------------------------------------------------\n\n\n// Headings\n// -------------------------\n\nh1, h2, h3, h4, h5, h6,\n.h1, .h2, .h3, .h4, .h5, .h6 {\n  font-family: @headings-font-family;\n  font-weight: @headings-font-weight;\n  line-height: @headings-line-height;\n  color: @headings-color;\n\n  small,\n  .small {\n    font-weight: normal;\n    line-height: 1;\n    color: @headings-small-color;\n  }\n}\n\nh1, .h1,\nh2, .h2,\nh3, .h3 {\n  margin-top: @line-height-computed;\n  margin-bottom: (@line-height-computed / 2);\n\n  small,\n  .small {\n    font-size: 65%;\n  }\n}\nh4, .h4,\nh5, .h5,\nh6, .h6 {\n  margin-top: (@line-height-computed / 2);\n  margin-bottom: (@line-height-computed / 2);\n\n  small,\n  .small {\n    font-size: 75%;\n  }\n}\n\nh1, .h1 { font-size: @font-size-h1; }\nh2, .h2 { font-size: @font-size-h2; }\nh3, .h3 { font-size: @font-size-h3; }\nh4, .h4 { font-size: @font-size-h4; }\nh5, .h5 { font-size: @font-size-h5; }\nh6, .h6 { font-size: @font-size-h6; }\n\n\n// Body text\n// -------------------------\n\np {\n  margin: 0 0 (@line-height-computed / 2);\n}\n\n.lead {\n  margin-bottom: @line-height-computed;\n  font-size: floor((@font-size-base * 1.15));\n  font-weight: 300;\n  line-height: 1.4;\n\n  @media (min-width: @screen-sm-min) {\n    font-size: (@font-size-base * 1.5);\n  }\n}\n\n\n// Emphasis & misc\n// -------------------------\n\n// Ex: (12px small font / 14px base font) * 100% = about 85%\nsmall,\n.small {\n  font-size: floor((100% * @font-size-small / @font-size-base));\n}\n\nmark,\n.mark {\n  background-color: @state-warning-bg;\n  padding: .2em;\n}\n\n// Alignment\n.text-left           { text-align: left; }\n.text-right          { text-align: right; }\n.text-center         { text-align: center; }\n.text-justify        { text-align: justify; }\n.text-nowrap         { white-space: nowrap; }\n\n// Transformation\n.text-lowercase      { text-transform: lowercase; }\n.text-uppercase      { text-transform: uppercase; }\n.text-capitalize     { text-transform: capitalize; }\n\n// Contextual colors\n.text-muted {\n  color: @text-muted;\n}\n.text-primary {\n  .text-emphasis-variant(@brand-primary);\n}\n.text-success {\n  .text-emphasis-variant(@state-success-text);\n}\n.text-info {\n  .text-emphasis-variant(@state-info-text);\n}\n.text-warning {\n  .text-emphasis-variant(@state-warning-text);\n}\n.text-danger {\n  .text-emphasis-variant(@state-danger-text);\n}\n\n// Contextual backgrounds\n// For now we'll leave these alongside the text classes until v4 when we can\n// safely shift things around (per SemVer rules).\n.bg-primary {\n  // Given the contrast here, this is the only class to have its color inverted\n  // automatically.\n  color: #fff;\n  .bg-variant(@brand-primary);\n}\n.bg-success {\n  .bg-variant(@state-success-bg);\n}\n.bg-info {\n  .bg-variant(@state-info-bg);\n}\n.bg-warning {\n  .bg-variant(@state-warning-bg);\n}\n.bg-danger {\n  .bg-variant(@state-danger-bg);\n}\n\n\n// Page header\n// -------------------------\n\n.page-header {\n  padding-bottom: ((@line-height-computed / 2) - 1);\n  margin: (@line-height-computed * 2) 0 @line-height-computed;\n  border-bottom: 1px solid @page-header-border-color;\n}\n\n\n// Lists\n// -------------------------\n\n// Unordered and Ordered lists\nul,\nol {\n  margin-top: 0;\n  margin-bottom: (@line-height-computed / 2);\n  ul,\n  ol {\n    margin-bottom: 0;\n  }\n}\n\n// List options\n\n// Unstyled keeps list items block level, just removes default browser padding and list-style\n.list-unstyled {\n  padding-left: 0;\n  list-style: none;\n}\n\n// Inline turns list items into inline-block\n.list-inline {\n  .list-unstyled();\n  margin-left: -5px;\n\n  > li {\n    display: inline-block;\n    padding-left: 5px;\n    padding-right: 5px;\n  }\n}\n\n// Description Lists\ndl {\n  margin-top: 0; // Remove browser default\n  margin-bottom: @line-height-computed;\n}\ndt,\ndd {\n  line-height: @line-height-base;\n}\ndt {\n  font-weight: bold;\n}\ndd {\n  margin-left: 0; // Undo browser default\n}\n\n// Horizontal description lists\n//\n// Defaults to being stacked without any of the below styles applied, until the\n// grid breakpoint is reached (default of ~768px).\n\n.dl-horizontal {\n  dd {\n    &:extend(.clearfix all); // Clear the floated `dt` if an empty `dd` is present\n  }\n\n  @media (min-width: @grid-float-breakpoint) {\n    dt {\n      float: left;\n      width: (@dl-horizontal-offset - 20);\n      clear: left;\n      text-align: right;\n      .text-overflow();\n    }\n    dd {\n      margin-left: @dl-horizontal-offset;\n    }\n  }\n}\n\n\n// Misc\n// -------------------------\n\n// Abbreviations and acronyms\nabbr[title],\n// Add data-* attribute to help out our tooltip plugin, per https://github.com/twbs/bootstrap/issues/5257\nabbr[data-original-title] {\n  cursor: help;\n  border-bottom: 1px dotted @abbr-border-color;\n}\n.initialism {\n  font-size: 90%;\n  .text-uppercase();\n}\n\n// Blockquotes\nblockquote {\n  padding: (@line-height-computed / 2) @line-height-computed;\n  margin: 0 0 @line-height-computed;\n  font-size: @blockquote-font-size;\n  border-left: 5px solid @blockquote-border-color;\n\n  p,\n  ul,\n  ol {\n    &:last-child {\n      margin-bottom: 0;\n    }\n  }\n\n  // Note: Deprecated small and .small as of v3.1.0\n  // Context: https://github.com/twbs/bootstrap/issues/11660\n  footer,\n  small,\n  .small {\n    display: block;\n    font-size: 80%; // back to default font-size\n    line-height: @line-height-base;\n    color: @blockquote-small-color;\n\n    &:before {\n      content: '\\2014 \\00A0'; // em dash, nbsp\n    }\n  }\n}\n\n// Opposite alignment of blockquote\n//\n// Heads up: `blockquote.pull-right` has been deprecated as of v3.1.0.\n.blockquote-reverse,\nblockquote.pull-right {\n  padding-right: 15px;\n  padding-left: 0;\n  border-right: 5px solid @blockquote-border-color;\n  border-left: 0;\n  text-align: right;\n\n  // Account for citation\n  footer,\n  small,\n  .small {\n    &:before { content: ''; }\n    &:after {\n      content: '\\00A0 \\2014'; // nbsp, em dash\n    }\n  }\n}\n\n// Addresses\naddress {\n  margin-bottom: @line-height-computed;\n  font-style: normal;\n  line-height: @line-height-base;\n}\n","// Typography\n\n.text-emphasis-variant(@color) {\n  color: @color;\n  a&:hover {\n    color: darken(@color, 10%);\n  }\n}\n","// Contextual backgrounds\n\n.bg-variant(@color) {\n  background-color: @color;\n  a&:hover {\n    background-color: darken(@color, 10%);\n  }\n}\n","// Text overflow\n// Requires inline-block or block for proper styling\n\n.text-overflow() {\n  overflow: hidden;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n}\n","//\n// Code (inline and block)\n// --------------------------------------------------\n\n\n// Inline and block code styles\ncode,\nkbd,\npre,\nsamp {\n  font-family: @font-family-monospace;\n}\n\n// Inline code\ncode {\n  padding: 2px 4px;\n  font-size: 90%;\n  color: @code-color;\n  background-color: @code-bg;\n  border-radius: @border-radius-base;\n}\n\n// User input typically entered via keyboard\nkbd {\n  padding: 2px 4px;\n  font-size: 90%;\n  color: @kbd-color;\n  background-color: @kbd-bg;\n  border-radius: @border-radius-small;\n  box-shadow: inset 0 -1px 0 rgba(0,0,0,.25);\n\n  kbd {\n    padding: 0;\n    font-size: 100%;\n    font-weight: bold;\n    box-shadow: none;\n  }\n}\n\n// Blocks of code\npre {\n  display: block;\n  padding: ((@line-height-computed - 1) / 2);\n  margin: 0 0 (@line-height-computed / 2);\n  font-size: (@font-size-base - 1); // 14px to 13px\n  line-height: @line-height-base;\n  word-break: break-all;\n  word-wrap: break-word;\n  color: @pre-color;\n  background-color: @pre-bg;\n  border: 1px solid @pre-border-color;\n  border-radius: @border-radius-base;\n\n  // Account for some code outputs that place code tags in pre tags\n  code {\n    padding: 0;\n    font-size: inherit;\n    color: inherit;\n    white-space: pre-wrap;\n    background-color: transparent;\n    border-radius: 0;\n  }\n}\n\n// Enable scrollable blocks of code\n.pre-scrollable {\n  max-height: @pre-scrollable-max-height;\n  overflow-y: scroll;\n}\n","//\n// Grid system\n// --------------------------------------------------\n\n\n// Container widths\n//\n// Set the container width, and override it for fixed navbars in media queries.\n\n.container {\n  .container-fixed();\n\n  @media (min-width: @screen-sm-min) {\n    width: @container-sm;\n  }\n  @media (min-width: @screen-md-min) {\n    width: @container-md;\n  }\n  @media (min-width: @screen-lg-min) {\n    width: @container-lg;\n  }\n}\n\n\n// Fluid container\n//\n// Utilizes the mixin meant for fixed width containers, but without any defined\n// width for fluid, full width layouts.\n\n.container-fluid {\n  .container-fixed();\n}\n\n\n// Row\n//\n// Rows contain and clear the floats of your columns.\n\n.row {\n  .make-row();\n}\n\n\n// Columns\n//\n// Common styles for small and large grid columns\n\n.make-grid-columns();\n\n\n// Extra small grid\n//\n// Columns, offsets, pushes, and pulls for extra small devices like\n// smartphones.\n\n.make-grid(xs);\n\n\n// Small grid\n//\n// Columns, offsets, pushes, and pulls for the small device range, from phones\n// to tablets.\n\n@media (min-width: @screen-sm-min) {\n  .make-grid(sm);\n}\n\n\n// Medium grid\n//\n// Columns, offsets, pushes, and pulls for the desktop device range.\n\n@media (min-width: @screen-md-min) {\n  .make-grid(md);\n}\n\n\n// Large grid\n//\n// Columns, offsets, pushes, and pulls for the large desktop device range.\n\n@media (min-width: @screen-lg-min) {\n  .make-grid(lg);\n}\n","// Grid system\n//\n// Generate semantic grid columns with these mixins.\n\n// Centered container element\n.container-fixed(@gutter: @grid-gutter-width) {\n  margin-right: auto;\n  margin-left: auto;\n  padding-left:  (@gutter / 2);\n  padding-right: (@gutter / 2);\n  &:extend(.clearfix all);\n}\n\n// Creates a wrapper for a series of columns\n.make-row(@gutter: @grid-gutter-width) {\n  margin-left:  (@gutter / -2);\n  margin-right: (@gutter / -2);\n  &:extend(.clearfix all);\n}\n\n// Generate the extra small columns\n.make-xs-column(@columns; @gutter: @grid-gutter-width) {\n  position: relative;\n  float: left;\n  width: percentage((@columns / @grid-columns));\n  min-height: 1px;\n  padding-left:  (@gutter / 2);\n  padding-right: (@gutter / 2);\n}\n.make-xs-column-offset(@columns) {\n  margin-left: percentage((@columns / @grid-columns));\n}\n.make-xs-column-push(@columns) {\n  left: percentage((@columns / @grid-columns));\n}\n.make-xs-column-pull(@columns) {\n  right: percentage((@columns / @grid-columns));\n}\n\n// Generate the small columns\n.make-sm-column(@columns; @gutter: @grid-gutter-width) {\n  position: relative;\n  min-height: 1px;\n  padding-left:  (@gutter / 2);\n  padding-right: (@gutter / 2);\n\n  @media (min-width: @screen-sm-min) {\n    float: left;\n    width: percentage((@columns / @grid-columns));\n  }\n}\n.make-sm-column-offset(@columns) {\n  @media (min-width: @screen-sm-min) {\n    margin-left: percentage((@columns / @grid-columns));\n  }\n}\n.make-sm-column-push(@columns) {\n  @media (min-width: @screen-sm-min) {\n    left: percentage((@columns / @grid-columns));\n  }\n}\n.make-sm-column-pull(@columns) {\n  @media (min-width: @screen-sm-min) {\n    right: percentage((@columns / @grid-columns));\n  }\n}\n\n// Generate the medium columns\n.make-md-column(@columns; @gutter: @grid-gutter-width) {\n  position: relative;\n  min-height: 1px;\n  padding-left:  (@gutter / 2);\n  padding-right: (@gutter / 2);\n\n  @media (min-width: @screen-md-min) {\n    float: left;\n    width: percentage((@columns / @grid-columns));\n  }\n}\n.make-md-column-offset(@columns) {\n  @media (min-width: @screen-md-min) {\n    margin-left: percentage((@columns / @grid-columns));\n  }\n}\n.make-md-column-push(@columns) {\n  @media (min-width: @screen-md-min) {\n    left: percentage((@columns / @grid-columns));\n  }\n}\n.make-md-column-pull(@columns) {\n  @media (min-width: @screen-md-min) {\n    right: percentage((@columns / @grid-columns));\n  }\n}\n\n// Generate the large columns\n.make-lg-column(@columns; @gutter: @grid-gutter-width) {\n  position: relative;\n  min-height: 1px;\n  padding-left:  (@gutter / 2);\n  padding-right: (@gutter / 2);\n\n  @media (min-width: @screen-lg-min) {\n    float: left;\n    width: percentage((@columns / @grid-columns));\n  }\n}\n.make-lg-column-offset(@columns) {\n  @media (min-width: @screen-lg-min) {\n    margin-left: percentage((@columns / @grid-columns));\n  }\n}\n.make-lg-column-push(@columns) {\n  @media (min-width: @screen-lg-min) {\n    left: percentage((@columns / @grid-columns));\n  }\n}\n.make-lg-column-pull(@columns) {\n  @media (min-width: @screen-lg-min) {\n    right: percentage((@columns / @grid-columns));\n  }\n}\n","// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `@grid-columns`.\n\n.make-grid-columns() {\n  // Common styles for all sizes of grid columns, widths 1-12\n  .col(@index) { // initial\n    @item: ~\".col-xs-@{index}, .col-sm-@{index}, .col-md-@{index}, .col-lg-@{index}\";\n    .col((@index + 1), @item);\n  }\n  .col(@index, @list) when (@index =< @grid-columns) { // general; \"=<\" isn't a typo\n    @item: ~\".col-xs-@{index}, .col-sm-@{index}, .col-md-@{index}, .col-lg-@{index}\";\n    .col((@index + 1), ~\"@{list}, @{item}\");\n  }\n  .col(@index, @list) when (@index > @grid-columns) { // terminal\n    @{list} {\n      position: relative;\n      // Prevent columns from collapsing when empty\n      min-height: 1px;\n      // Inner gutter via padding\n      padding-left:  (@grid-gutter-width / 2);\n      padding-right: (@grid-gutter-width / 2);\n    }\n  }\n  .col(1); // kickstart it\n}\n\n.float-grid-columns(@class) {\n  .col(@index) { // initial\n    @item: ~\".col-@{class}-@{index}\";\n    .col((@index + 1), @item);\n  }\n  .col(@index, @list) when (@index =< @grid-columns) { // general\n    @item: ~\".col-@{class}-@{index}\";\n    .col((@index + 1), ~\"@{list}, @{item}\");\n  }\n  .col(@index, @list) when (@index > @grid-columns) { // terminal\n    @{list} {\n      float: left;\n    }\n  }\n  .col(1); // kickstart it\n}\n\n.calc-grid-column(@index, @class, @type) when (@type = width) and (@index > 0) {\n  .col-@{class}-@{index} {\n    width: percentage((@index / @grid-columns));\n  }\n}\n.calc-grid-column(@index, @class, @type) when (@type = push) and (@index > 0) {\n  .col-@{class}-push-@{index} {\n    left: percentage((@index / @grid-columns));\n  }\n}\n.calc-grid-column(@index, @class, @type) when (@type = push) and (@index = 0) {\n  .col-@{class}-push-0 {\n    left: auto;\n  }\n}\n.calc-grid-column(@index, @class, @type) when (@type = pull) and (@index > 0) {\n  .col-@{class}-pull-@{index} {\n    right: percentage((@index / @grid-columns));\n  }\n}\n.calc-grid-column(@index, @class, @type) when (@type = pull) and (@index = 0) {\n  .col-@{class}-pull-0 {\n    right: auto;\n  }\n}\n.calc-grid-column(@index, @class, @type) when (@type = offset) {\n  .col-@{class}-offset-@{index} {\n    margin-left: percentage((@index / @grid-columns));\n  }\n}\n\n// Basic looping in LESS\n.loop-grid-columns(@index, @class, @type) when (@index >= 0) {\n  .calc-grid-column(@index, @class, @type);\n  // next iteration\n  .loop-grid-columns((@index - 1), @class, @type);\n}\n\n// Create grid for specific class\n.make-grid(@class) {\n  .float-grid-columns(@class);\n  .loop-grid-columns(@grid-columns, @class, width);\n  .loop-grid-columns(@grid-columns, @class, pull);\n  .loop-grid-columns(@grid-columns, @class, push);\n  .loop-grid-columns(@grid-columns, @class, offset);\n}\n","//\n// Tables\n// --------------------------------------------------\n\n\ntable {\n  background-color: @table-bg;\n}\ncaption {\n  padding-top: @table-cell-padding;\n  padding-bottom: @table-cell-padding;\n  color: @text-muted;\n  text-align: left;\n}\nth {\n  text-align: left;\n}\n\n\n// Baseline styles\n\n.table {\n  width: 100%;\n  max-width: 100%;\n  margin-bottom: @line-height-computed;\n  // Cells\n  > thead,\n  > tbody,\n  > tfoot {\n    > tr {\n      > th,\n      > td {\n        padding: @table-cell-padding;\n        line-height: @line-height-base;\n        vertical-align: top;\n        border-top: 1px solid @table-border-color;\n      }\n    }\n  }\n  // Bottom align for column headings\n  > thead > tr > th {\n    vertical-align: bottom;\n    border-bottom: 2px solid @table-border-color;\n  }\n  // Remove top border from thead by default\n  > caption + thead,\n  > colgroup + thead,\n  > thead:first-child {\n    > tr:first-child {\n      > th,\n      > td {\n        border-top: 0;\n      }\n    }\n  }\n  // Account for multiple tbody instances\n  > tbody + tbody {\n    border-top: 2px solid @table-border-color;\n  }\n\n  // Nesting\n  .table {\n    background-color: @body-bg;\n  }\n}\n\n\n// Condensed table w/ half padding\n\n.table-condensed {\n  > thead,\n  > tbody,\n  > tfoot {\n    > tr {\n      > th,\n      > td {\n        padding: @table-condensed-cell-padding;\n      }\n    }\n  }\n}\n\n\n// Bordered version\n//\n// Add borders all around the table and between all the columns.\n\n.table-bordered {\n  border: 1px solid @table-border-color;\n  > thead,\n  > tbody,\n  > tfoot {\n    > tr {\n      > th,\n      > td {\n        border: 1px solid @table-border-color;\n      }\n    }\n  }\n  > thead > tr {\n    > th,\n    > td {\n      border-bottom-width: 2px;\n    }\n  }\n}\n\n\n// Zebra-striping\n//\n// Default zebra-stripe styles (alternating gray and transparent backgrounds)\n\n.table-striped {\n  > tbody > tr:nth-of-type(odd) {\n    background-color: @table-bg-accent;\n  }\n}\n\n\n// Hover effect\n//\n// Placed here since it has to come after the potential zebra striping\n\n.table-hover {\n  > tbody > tr:hover {\n    background-color: @table-bg-hover;\n  }\n}\n\n\n// Table cell sizing\n//\n// Reset default table behavior\n\ntable col[class*=\"col-\"] {\n  position: static; // Prevent border hiding in Firefox and IE9-11 (see https://github.com/twbs/bootstrap/issues/11623)\n  float: none;\n  display: table-column;\n}\ntable {\n  td,\n  th {\n    &[class*=\"col-\"] {\n      position: static; // Prevent border hiding in Firefox and IE9-11 (see https://github.com/twbs/bootstrap/issues/11623)\n      float: none;\n      display: table-cell;\n    }\n  }\n}\n\n\n// Table backgrounds\n//\n// Exact selectors below required to override `.table-striped` and prevent\n// inheritance to nested tables.\n\n// Generate the contextual variants\n.table-row-variant(active; @table-bg-active);\n.table-row-variant(success; @state-success-bg);\n.table-row-variant(info; @state-info-bg);\n.table-row-variant(warning; @state-warning-bg);\n.table-row-variant(danger; @state-danger-bg);\n\n\n// Responsive tables\n//\n// Wrap your tables in `.table-responsive` and we'll make them mobile friendly\n// by enabling horizontal scrolling. Only applies <768px. Everything above that\n// will display normally.\n\n.table-responsive {\n  overflow-x: auto;\n  min-height: 0.01%; // Workaround for IE9 bug (see https://github.com/twbs/bootstrap/issues/14837)\n\n  @media screen and (max-width: @screen-xs-max) {\n    width: 100%;\n    margin-bottom: (@line-height-computed * 0.75);\n    overflow-y: hidden;\n    -ms-overflow-style: -ms-autohiding-scrollbar;\n    border: 1px solid @table-border-color;\n\n    // Tighten up spacing\n    > .table {\n      margin-bottom: 0;\n\n      // Ensure the content doesn't wrap\n      > thead,\n      > tbody,\n      > tfoot {\n        > tr {\n          > th,\n          > td {\n            white-space: nowrap;\n          }\n        }\n      }\n    }\n\n    // Special overrides for the bordered tables\n    > .table-bordered {\n      border: 0;\n\n      // Nuke the appropriate borders so that the parent can handle them\n      > thead,\n      > tbody,\n      > tfoot {\n        > tr {\n          > th:first-child,\n          > td:first-child {\n            border-left: 0;\n          }\n          > th:last-child,\n          > td:last-child {\n            border-right: 0;\n          }\n        }\n      }\n\n      // Only nuke the last row's bottom-border in `tbody` and `tfoot` since\n      // chances are there will be only one `tr` in a `thead` and that would\n      // remove the border altogether.\n      > tbody,\n      > tfoot {\n        > tr:last-child {\n          > th,\n          > td {\n            border-bottom: 0;\n          }\n        }\n      }\n\n    }\n  }\n}\n","// Tables\n\n.table-row-variant(@state; @background) {\n  // Exact selectors below required to override `.table-striped` and prevent\n  // inheritance to nested tables.\n  .table > thead > tr,\n  .table > tbody > tr,\n  .table > tfoot > tr {\n    > td.@{state},\n    > th.@{state},\n    &.@{state} > td,\n    &.@{state} > th {\n      background-color: @background;\n    }\n  }\n\n  // Hover states for `.table-hover`\n  // Note: this is not available for cells or rows within `thead` or `tfoot`.\n  .table-hover > tbody > tr {\n    > td.@{state}:hover,\n    > th.@{state}:hover,\n    &.@{state}:hover > td,\n    &:hover > .@{state},\n    &.@{state}:hover > th {\n      background-color: darken(@background, 5%);\n    }\n  }\n}\n","//\n// Forms\n// --------------------------------------------------\n\n\n// Normalize non-controls\n//\n// Restyle and baseline non-control form elements.\n\nfieldset {\n  padding: 0;\n  margin: 0;\n  border: 0;\n  // Chrome and Firefox set a `min-width: min-content;` on fieldsets,\n  // so we reset that to ensure it behaves more like a standard block element.\n  // See https://github.com/twbs/bootstrap/issues/12359.\n  min-width: 0;\n}\n\nlegend {\n  display: block;\n  width: 100%;\n  padding: 0;\n  margin-bottom: @line-height-computed;\n  font-size: (@font-size-base * 1.5);\n  line-height: inherit;\n  color: @legend-color;\n  border: 0;\n  border-bottom: 1px solid @legend-border-color;\n}\n\nlabel {\n  display: inline-block;\n  max-width: 100%; // Force IE8 to wrap long content (see https://github.com/twbs/bootstrap/issues/13141)\n  margin-bottom: 5px;\n  font-weight: bold;\n}\n\n\n// Normalize form controls\n//\n// While most of our form styles require extra classes, some basic normalization\n// is required to ensure optimum display with or without those classes to better\n// address browser inconsistencies.\n\n// Override content-box in Normalize (* isn't specific enough)\ninput[type=\"search\"] {\n  .box-sizing(border-box);\n}\n\n// Position radios and checkboxes better\ninput[type=\"radio\"],\ninput[type=\"checkbox\"] {\n  margin: 4px 0 0;\n  margin-top: 1px \\9; // IE8-9\n  line-height: normal;\n}\n\n// Set the height of file controls to match text inputs\ninput[type=\"file\"] {\n  display: block;\n}\n\n// Make range inputs behave like textual form controls\ninput[type=\"range\"] {\n  display: block;\n  width: 100%;\n}\n\n// Make multiple select elements height not fixed\nselect[multiple],\nselect[size] {\n  height: auto;\n}\n\n// Focus for file, radio, and checkbox\ninput[type=\"file\"]:focus,\ninput[type=\"radio\"]:focus,\ninput[type=\"checkbox\"]:focus {\n  .tab-focus();\n}\n\n// Adjust output element\noutput {\n  display: block;\n  padding-top: (@padding-base-vertical + 1);\n  font-size: @font-size-base;\n  line-height: @line-height-base;\n  color: @input-color;\n}\n\n\n// Common form controls\n//\n// Shared size and type resets for form controls. Apply `.form-control` to any\n// of the following form controls:\n//\n// select\n// textarea\n// input[type=\"text\"]\n// input[type=\"password\"]\n// input[type=\"datetime\"]\n// input[type=\"datetime-local\"]\n// input[type=\"date\"]\n// input[type=\"month\"]\n// input[type=\"time\"]\n// input[type=\"week\"]\n// input[type=\"number\"]\n// input[type=\"email\"]\n// input[type=\"url\"]\n// input[type=\"search\"]\n// input[type=\"tel\"]\n// input[type=\"color\"]\n\n.form-control {\n  display: block;\n  width: 100%;\n  height: @input-height-base; // Make inputs at least the height of their button counterpart (base line-height + padding + border)\n  padding: @padding-base-vertical @padding-base-horizontal;\n  font-size: @font-size-base;\n  line-height: @line-height-base;\n  color: @input-color;\n  background-color: @input-bg;\n  background-image: none; // Reset unusual Firefox-on-Android default style; see https://github.com/necolas/normalize.css/issues/214\n  border: 1px solid @input-border;\n  border-radius: @input-border-radius; // Note: This has no effect on s in CSS.\n  .box-shadow(inset 0 1px 1px rgba(0,0,0,.075));\n  .transition(~\"border-color ease-in-out .15s, box-shadow ease-in-out .15s\");\n\n  // Customize the `:focus` state to imitate native WebKit styles.\n  .form-control-focus();\n\n  // Placeholder\n  .placeholder();\n\n  // Disabled and read-only inputs\n  //\n  // HTML5 says that controls under a fieldset > legend:first-child won't be\n  // disabled if the fieldset is disabled. Due to implementation difficulty, we\n  // don't honor that edge case; we style them as disabled anyway.\n  &[disabled],\n  &[readonly],\n  fieldset[disabled] & {\n    background-color: @input-bg-disabled;\n    opacity: 1; // iOS fix for unreadable disabled content; see https://github.com/twbs/bootstrap/issues/11655\n  }\n\n  &[disabled],\n  fieldset[disabled] & {\n    cursor: @cursor-disabled;\n  }\n\n  // Reset height for `textarea`s\n  textarea& {\n    height: auto;\n  }\n}\n\n\n// Search inputs in iOS\n//\n// This overrides the extra rounded corners on search inputs in iOS so that our\n// `.form-control` class can properly style them. Note that this cannot simply\n// be added to `.form-control` as it's not specific enough. For details, see\n// https://github.com/twbs/bootstrap/issues/11586.\n\ninput[type=\"search\"] {\n  -webkit-appearance: none;\n}\n\n\n// Special styles for iOS temporal inputs\n//\n// In Mobile Safari, setting `display: block` on temporal inputs causes the\n// text within the input to become vertically misaligned. As a workaround, we\n// set a pixel line-height that matches the given height of the input, but only\n// for Safari. See https://bugs.webkit.org/show_bug.cgi?id=139848\n\n@media screen and (-webkit-min-device-pixel-ratio: 0) {\n  input[type=\"date\"],\n  input[type=\"time\"],\n  input[type=\"datetime-local\"],\n  input[type=\"month\"] {\n    line-height: @input-height-base;\n\n    &.input-sm,\n    .input-group-sm & {\n      line-height: @input-height-small;\n    }\n\n    &.input-lg,\n    .input-group-lg & {\n      line-height: @input-height-large;\n    }\n  }\n}\n\n\n// Form groups\n//\n// Designed to help with the organization and spacing of vertical forms. For\n// horizontal forms, use the predefined grid classes.\n\n.form-group {\n  margin-bottom: @form-group-margin-bottom;\n}\n\n\n// Checkboxes and radios\n//\n// Indent the labels to position radios/checkboxes as hanging controls.\n\n.radio,\n.checkbox {\n  position: relative;\n  display: block;\n  margin-top: 10px;\n  margin-bottom: 10px;\n\n  label {\n    min-height: @line-height-computed; // Ensure the input doesn't jump when there is no text\n    padding-left: 20px;\n    margin-bottom: 0;\n    font-weight: normal;\n    cursor: pointer;\n  }\n}\n.radio input[type=\"radio\"],\n.radio-inline input[type=\"radio\"],\n.checkbox input[type=\"checkbox\"],\n.checkbox-inline input[type=\"checkbox\"] {\n  position: absolute;\n  margin-left: -20px;\n  margin-top: 4px \\9;\n}\n\n.radio + .radio,\n.checkbox + .checkbox {\n  margin-top: -5px; // Move up sibling radios or checkboxes for tighter spacing\n}\n\n// Radios and checkboxes on same line\n.radio-inline,\n.checkbox-inline {\n  position: relative;\n  display: inline-block;\n  padding-left: 20px;\n  margin-bottom: 0;\n  vertical-align: middle;\n  font-weight: normal;\n  cursor: pointer;\n}\n.radio-inline + .radio-inline,\n.checkbox-inline + .checkbox-inline {\n  margin-top: 0;\n  margin-left: 10px; // space out consecutive inline controls\n}\n\n// Apply same disabled cursor tweak as for inputs\n// Some special care is needed because