diff options
Diffstat (limited to 'tensorflow/contrib/lite/toco/g3doc')
| -rw-r--r-- | tensorflow/contrib/lite/toco/g3doc/README.md | 3 | ||||
| -rw-r--r-- | tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md | 372 | ||||
| -rw-r--r-- | tensorflow/contrib/lite/toco/g3doc/cmdline_reference.md | 168 | ||||
| -rw-r--r-- | tensorflow/contrib/lite/toco/g3doc/python_api.md | 279 | ||||
| -rw-r--r-- | tensorflow/contrib/lite/toco/g3doc/toco_landscape.svg | 1 |
5 files changed, 3 insertions, 820 deletions
diff --git a/tensorflow/contrib/lite/toco/g3doc/README.md b/tensorflow/contrib/lite/toco/g3doc/README.md new file mode 100644 index 0000000000..2153b6cc63 --- /dev/null +++ b/tensorflow/contrib/lite/toco/g3doc/README.md @@ -0,0 +1,3 @@ +# TOCO + +These files have moved to [../../g3doc/tflite_convert](../../g3doc/tflite_convert) diff --git a/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md b/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md deleted file mode 100644 index e3c46eb377..0000000000 --- a/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md +++ /dev/null @@ -1,372 +0,0 @@ -# TensorFlow Lite Converter command-line examples - -This page shows how to use the TensorFlow Lite Converter in the command line. It -is complemented by the following documents: - -* [README](../README.md) -* [Command-line glossary](cmdline_reference.md) -* [Python API examples](python_api.md) - -Table of contents: - -* [Command-line tools](#tools) - * [Converting models prior to TensorFlow 1.9](#pre-tensorflow-1.9) -* [Basic examples](#basic) - * [Convert a TensorFlow GraphDef](#graphdef) - * [Convert a TensorFlow SavedModel](#savedmodel) - * [Convert a tf.keras model](#keras) -* [Quantization](#quantization) - * [Convert a TensorFlow GraphDef for quantized inference](#graphdef-quant) - * [Use "dummy-quantization" to try out quantized inference on a float - graph](#dummy-quant) -* [Specifying input and output arrays](#specifying-input-and-output-arrays) - * [Multiple input arrays](#multiple-input-arrays) - * [Multiple output arrays](#multiple-output-arrays) - * [Specifying subgraphs](#specifying-subgraphs) -* [Graph visualizations](#graph-visualizations) - * [Using --output_format=GRAPHVIZ_DOT](#using-output-format-graphviz-dot) - * [Using --dump_graphviz_dir](#using-dump-graphviz-dir) - * [Graph "video" logging](#graph-video-logging) - * [Legend for the graph visualizations](#graphviz-legend) - -## Command-line tools <a name="tools"></a> - -There are two approaches to running the converter in the command line. - -* `tflite_convert`: Starting from TensorFlow 1.9, the command-line tool - `tflite_convert` is installed as part of the Python package. All of the - examples below use `tflite_convert` for simplicity. - * Example: `tflite_convert --output_file=...` -* `bazel`: In order to run the latest version of the TensorFlow Lite Converter - either install the nightly build using - [pip](https://www.tensorflow.org/install/pip) or - [clone the TensorFlow repository](https://www.tensorflow.org/install/source) - and use `bazel`. - * Example: `bazel run - //tensorflow/contrib/lite/python:tflite_convert -- - --output_file=...` - -### Converting models prior to TensorFlow 1.9 <a name="pre-tensorflow-1.9"></a> - -The recommended approach for using the converter prior to TensorFlow 1.9 is the -[Python API](python_api.md#pre-tensorflow-1.9). If a command line tool is -desired, the `toco` command line tool was available in TensorFlow 1.7. Enter -`toco --help` in Terminal for additional details on the command-line flags -available. There were no command line tools in TensorFlow 1.8. - -## Basic examples <a name="basic"></a> - -The following section shows examples of how to convert a basic float-point model -from each of the supported data formats into a TensorFlow Lite FlatBuffers. - -### Convert a TensorFlow GraphDef <a name="graphdef"></a> - -The follow example converts a basic TensorFlow GraphDef (frozen by -[freeze_graph.py](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/tools/freeze_graph.py)) -into a TensorFlow Lite FlatBuffer to perform floating-point inference. Frozen -graphs contain the variables stored in Checkpoint files as Const ops. - -``` -curl https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_0.50_128_frozen.tgz \ - | tar xzv -C /tmp -tflite_convert \ - --output_file=/tmp/foo.tflite \ - --graph_def_file=/tmp/mobilenet_v1_0.50_128/frozen_graph.pb \ - --input_arrays=input \ - --output_arrays=MobilenetV1/Predictions/Reshape_1 -``` - -The value for `input_shapes` is automatically determined whenever possible. - -### Convert a TensorFlow SavedModel <a name="savedmodel"></a> - -The follow example converts a basic TensorFlow SavedModel into a Tensorflow Lite -FlatBuffer to perform floating-point inference. - -``` -tflite_convert \ - --output_file=/tmp/foo.tflite \ - --saved_model_dir=/tmp/saved_model -``` - -[SavedModel](https://www.tensorflow.org/guide/saved_model#using_savedmodel_with_estimators) -has fewer required flags than frozen graphs due to access to additional data -contained within the SavedModel. The values for `--input_arrays` and -`--output_arrays` are an aggregated, alphabetized list of the inputs and outputs -in the [SignatureDefs](https://www.tensorflow.org/serving/signature_defs) within -the -[MetaGraphDef](https://www.tensorflow.org/guide/saved_model#apis_to_build_and_load_a_savedmodel) -specified by `--saved_model_tag_set`. As with the GraphDef, the value for -`input_shapes` is automatically determined whenever possible. - -There is currently no support for MetaGraphDefs without a SignatureDef or for -MetaGraphDefs that use the [`assets/` -directory](https://www.tensorflow.org/guide/saved_model#structure_of_a_savedmodel_directory). - -### Convert a tf.Keras model <a name="keras"></a> - -The following example converts a `tf.keras` model into a TensorFlow Lite -Flatbuffer. The `tf.keras` file must contain both the model and the weights. - -``` -tflite_convert \ - --output_file=/tmp/foo.tflite \ - --keras_model_file=/tmp/keras_model.h5 -``` - -## Quantization - -### Convert a TensorFlow GraphDef for quantized inference <a name="graphdef-quant"></a> - -The TensorFlow Lite Converter is compatible with fixed point quantization models -described [here](https://www.tensorflow.org/performance/quantization). These are -float models with -[`FakeQuant*`](https://www.tensorflow.org/api_guides/python/array_ops#Fake_quantization) -ops inserted at the boundaries of fused layers to record min-max range -information. This generates a quantized inference workload that reproduces the -quantization behavior that was used during training. - -The following command generates a quantized TensorFlow Lite FlatBuffer from a -"quantized" TensorFlow GraphDef. - -``` -tflite_convert \ - --output_file=/tmp/foo.tflite \ - --graph_def_file=/tmp/some_quantized_graph.pb \ - --inference_type=QUANTIZED_UINT8 \ - --input_arrays=input \ - --output_arrays=MobilenetV1/Predictions/Reshape_1 \ - --mean_values=128 \ - --std_dev_values=127 -``` - -### Use \"dummy-quantization\" to try out quantized inference on a float graph <a name="dummy-quant"></a> - -In order to evaluate the possible benefit of generating a quantized graph, the -converter allows "dummy-quantization" on float graphs. The flags -`--default_ranges_min` and `--default_ranges_max` accept plausible values for -the min-max ranges of the values in all arrays that do not have min-max -information. "Dummy-quantization" will produce lower accuracy but will emulate -the performance of a correctly quantized model. - -The example below contains a model using Relu6 activation functions. Therefore, -a reasonable guess is that most activation ranges should be contained in [0, 6]. - -``` -curl https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_0.50_128_frozen.tgz \ - | tar xzv -C /tmp -tflite_convert \ - --output_file=/tmp/foo.cc \ - --graph_def_file=/tmp/mobilenet_v1_0.50_128/frozen_graph.pb \ - --inference_type=QUANTIZED_UINT8 \ - --input_arrays=input \ - --output_arrays=MobilenetV1/Predictions/Reshape_1 \ - --default_ranges_min=0 \ - --default_ranges_max=6 \ - --mean_values=128 \ - --std_dev_values=127 -``` - -## Specifying input and output arrays - -### Multiple input arrays - -The flag `input_arrays` takes in a comma-separated list of input arrays as seen -in the example below. This is useful for models or subgraphs with multiple -inputs. - -``` -curl https://storage.googleapis.com/download.tensorflow.org/models/inception_v1_2016_08_28_frozen.pb.tar.gz \ - | tar xzv -C /tmp -tflite_convert \ - --graph_def_file=/tmp/inception_v1_2016_08_28_frozen.pb \ - --output_file=/tmp/foo.tflite \ - --input_shapes=1,28,28,96:1,28,28,16:1,28,28,192:1,28,28,64 \ - --input_arrays=InceptionV1/InceptionV1/Mixed_3b/Branch_1/Conv2d_0a_1x1/Relu,InceptionV1/InceptionV1/Mixed_3b/Branch_2/Conv2d_0a_1x1/Relu,InceptionV1/InceptionV1/Mixed_3b/Branch_3/MaxPool_0a_3x3/MaxPool,InceptionV1/InceptionV1/Mixed_3b/Branch_0/Conv2d_0a_1x1/Relu \ - --output_arrays=InceptionV1/Logits/Predictions/Reshape_1 -``` - -Note that `input_shapes` is provided as a colon-separated list. Each input shape -corresponds to the input array at the same position in the respective list. - -### Multiple output arrays - -The flag `output_arrays` takes in a comma-separated list of output arrays as -seen in the example below. This is useful for models or subgraphs with multiple -outputs. - -``` -curl https://storage.googleapis.com/download.tensorflow.org/models/inception_v1_2016_08_28_frozen.pb.tar.gz \ - | tar xzv -C /tmp -tflite_convert \ - --graph_def_file=/tmp/inception_v1_2016_08_28_frozen.pb \ - --output_file=/tmp/foo.tflite \ - --input_arrays=input \ - --output_arrays=InceptionV1/InceptionV1/Mixed_3b/Branch_1/Conv2d_0a_1x1/Relu,InceptionV1/InceptionV1/Mixed_3b/Branch_2/Conv2d_0a_1x1/Relu -``` - -### Specifying subgraphs - -Any array in the input file can be specified as an input or output array in -order to extract subgraphs out of an input graph file. The TensorFlow Lite -Converter discards the parts of the graph outside of the specific subgraph. Use -[graph visualizations](#graph-visualizations) to identify the input and output -arrays that make up the desired subgraph. - -The follow command shows how to extract a single fused layer out of a TensorFlow -GraphDef. - -``` -curl https://storage.googleapis.com/download.tensorflow.org/models/inception_v1_2016_08_28_frozen.pb.tar.gz \ - | tar xzv -C /tmp -tflite_convert \ - --graph_def_file=/tmp/inception_v1_2016_08_28_frozen.pb \ - --output_file=/tmp/foo.pb \ - --input_shapes=1,28,28,96:1,28,28,16:1,28,28,192:1,28,28,64 \ - --input_arrays=InceptionV1/InceptionV1/Mixed_3b/Branch_1/Conv2d_0a_1x1/Relu,InceptionV1/InceptionV1/Mixed_3b/Branch_2/Conv2d_0a_1x1/Relu,InceptionV1/InceptionV1/Mixed_3b/Branch_3/MaxPool_0a_3x3/MaxPool,InceptionV1/InceptionV1/Mixed_3b/Branch_0/Conv2d_0a_1x1/Relu \ - --output_arrays=InceptionV1/InceptionV1/Mixed_3b/concat_v2 -``` - -Note that the final representation in TensorFlow Lite FlatBuffers tends to have -coarser granularity than the very fine granularity of the TensorFlow GraphDef -representation. For example, while a fully-connected layer is typically -represented as at least four separate ops in TensorFlow GraphDef (Reshape, -MatMul, BiasAdd, Relu...), it is typically represented as a single "fused" op -(FullyConnected) in the converter's optimized representation and in the final -on-device representation. As the level of granularity gets coarser, some -intermediate arrays (say, the array between the MatMul and the BiasAdd in the -TensorFlow GraphDef) are dropped. - -When specifying intermediate arrays as `--input_arrays` and `--output_arrays`, -it is desirable (and often required) to specify arrays that are meant to survive -in the final form of the graph, after fusing. These are typically the outputs of -activation functions (since everything in each layer until the activation -function tends to get fused). - -## Logging - - -## Graph visualizations - -The converter can export a graph to the Graphviz Dot format for easy -visualization using either the `--output_format` flag or the -`--dump_graphviz_dir` flag. The subsections below outline the use cases for -each. - -### Using `--output_format=GRAPHVIZ_DOT` <a name="using-output-format-graphviz-dot"></a> - -The first way to get a Graphviz rendering is to pass `GRAPHVIZ_DOT` into -`--output_format`. This results in a plausible visualization of the graph. This -reduces the requirements that exist during conversion from a TensorFlow GraphDef -to a TensorFlow Lite FlatBuffer. This may be useful if the conversion to TFLite -is failing. - -``` -curl https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_0.50_128_frozen.tgz \ - | tar xzv -C /tmp -tflite_convert \ - --graph_def_file=/tmp/mobilenet_v1_0.50_128/frozen_graph.pb \ - --output_file=/tmp/foo.dot \ - --output_format=GRAPHVIZ_DOT \ - --input_shape=1,128,128,3 \ - --input_arrays=input \ - --output_arrays=MobilenetV1/Predictions/Reshape_1 -``` - -The resulting `.dot` file can be rendered into a PDF as follows: - -``` -dot -Tpdf -O /tmp/foo.dot -``` - -And the resulting `.dot.pdf` can be viewed in any PDF viewer, but we suggest one -with a good ability to pan and zoom across a very large page. Google Chrome does -well in that respect. - -``` -google-chrome /tmp/foo.dot.pdf -``` - -Example PDF files are viewable online in the next section. - -### Using `--dump_graphviz_dir` - -The second way to get a Graphviz rendering is to pass the `--dump_graphviz_dir` -flag, specifying a destination directory to dump Graphviz rendering to. Unlike -the previous approach, this one retains the original output format. This -provides a visualization of the actual graph resulting from a specific -conversion process. - -``` -curl https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_0.50_128_frozen.tgz \ - | tar xzv -C /tmp -tflite_convert \ - --graph_def_file=/tmp/mobilenet_v1_0.50_128/frozen_graph.pb \ - --output_file=/tmp/foo.tflite \ - --input_arrays=input \ - --output_arrays=MobilenetV1/Predictions/Reshape_1 \ - --dump_graphviz_dir=/tmp -``` - -This generates a few files in the destination directory. The two most important -files are `toco_AT_IMPORT.dot` and `/tmp/toco_AFTER_TRANSFORMATIONS.dot`. -`toco_AT_IMPORT.dot` represents the original graph containing only the -transformations done at import time. This tends to be a complex visualization -with limited information about each node. It is useful in situations where a -conversion command fails. - -`toco_AFTER_TRANSFORMATIONS.dot` represents the graph after all transformations -were applied to it, just before it is exported. Typically, this is a much -smaller graph with more information about each node. - -As before, these can be rendered to PDFs: - -``` -dot -Tpdf -O /tmp/toco_*.dot -``` - -Sample output files can be seen here: - -* [toco_AT_IMPORT.dot.pdf](https://storage.googleapis.com/download.tensorflow.org/example_images/toco_AT_IMPORT.dot.pdf) -* [toco_AFTER_TRANSFORMATIONS.dot.pdf](https://storage.googleapis.com/download.tensorflow.org/example_images/toco_AFTER_TRANSFORMATIONS.dot.pdf). - -### Graph "video" logging - -When `--dump_graphviz_dir` is used, one may additionally pass -`--dump_graphviz_video`. This causes a graph visualization to be dumped after -each individual graph transformation, resulting in thousands of files. -Typically, one would then bisect into these files to understand when a given -change was introduced in the graph. - -### Legend for the graph visualizations <a name="graphviz-legend"></a> - -* Operators are red square boxes with the following hues of red: - * Most operators are - <span style="background-color:#db4437;color:white;border:1px;border-style:solid;border-color:black;padding:1px">bright - red</span>. - * Some typically heavy operators (e.g. Conv) are rendered in a - <span style="background-color:#c53929;color:white;border:1px;border-style:solid;border-color:black;padding:1px">darker - red</span>. -* Arrays are octogons with the following colors: - * Constant arrays are - <span style="background-color:#4285f4;color:white;border:1px;border-style:solid;border-color:black;padding:1px">blue</span>. - * Activation arrays are gray: - * Internal (intermediate) activation arrays are - <span style="background-color:#f5f5f5;border:1px;border-style:solid;border-color:black;border:1px;border-style:solid;border-color:black;padding:1px">light - gray</span>. - * Those activation arrays that are designated as `--input_arrays` or - `--output_arrays` are - <span style="background-color:#9e9e9e;border:1px;border-style:solid;border-color:black;padding:1px">dark - gray</span>. - * RNN state arrays are green. Because of the way that the converter - represents RNN back-edges explicitly, each RNN state is represented by a - pair of green arrays: - * The activation array that is the source of the RNN back-edge (i.e. - whose contents are copied into the RNN state array after having been - computed) is - <span style="background-color:#b7e1cd;border:1px;border-style:solid;border-color:black;padding:1px">light - green</span>. - * The actual RNN state array is - <span style="background-color:#0f9d58;color:white;border:1px;border-style:solid;border-color:black;padding:1px">dark - green</span>. It is the destination of the RNN back-edge updating - it. diff --git a/tensorflow/contrib/lite/toco/g3doc/cmdline_reference.md b/tensorflow/contrib/lite/toco/g3doc/cmdline_reference.md deleted file mode 100644 index 31200fd657..0000000000 --- a/tensorflow/contrib/lite/toco/g3doc/cmdline_reference.md +++ /dev/null @@ -1,168 +0,0 @@ -# TensorFlow Lite Converter command-line glossary - -This page is complete reference of command-line flags used by the TensorFlow -Lite Converter's command line starting from TensorFlow 1.9 up until the most -recent build of TensorFlow. It is complemented by the following other documents: - -* [README](../README.md) -* [Command-line examples](cmdline_examples.md) -* [Python API examples](python_api.md) - -Table of contents: - -* [High-level flags](#high-level-flags) -* [Model flags](#model-flags) -* [Transformation flags](#transformation-flags) -* [Logging flags](#logging-flags) - -## High-level flags - -The following high level flags specify the details of the input and output -files. The flag `--output_file` is always required. Additionally, either -`--graph_def_file`, `--saved_model_dir` or `--keras_model_file` is required. - -* `--output_file`. Type: string. Specifies the full path of the output file. -* `--graph_def_file`. Type: string. Specifies the full path of the input - GraphDef file frozen using - [freeze_graph.py](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/tools/freeze_graph.py). -* `--saved_model_dir`. Type: string. Specifies the full path to the directory - containing the SavedModel. -* `--keras_model_file`. Type: string. Specifies the full path of the HDF5 file - containing the tf.keras model. -* `--output_format`. Type: string. Default: `TFLITE`. Specifies the format of - the output file. Allowed values: - * `TFLITE`: TensorFlow Lite FlatBuffer format. - * `GRAPHVIZ_DOT`: GraphViz `.dot` format containg a visualization of the - graph after graph transformations. - * Note that passing `GRAPHVIZ_DOT` to `--output_format` leads to loss - of TFLite specific transformations. Therefore, the resulting - visualization may not reflect the final set of graph - transformations. To get a final visualization with all graph - transformations use `--dump_graphviz_dir` instead. - -The following flags specify optional parameters when using SavedModels. - -* `--saved_model_tag_set`. Type: string. Default: - [kSavedModelTagServe](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/cc/saved_model/tag_constants.h). - Specifies a comma-separated set of tags identifying the MetaGraphDef within - the SavedModel to analyze. All tags in the tag set must be specified. -* `--saved_model_signature_key`. Type: string. Default: - [DEFAULT_SERVING_SIGNATURE_DEF_KEY](https://www.tensorflow.org/api_docs/python/tf/saved_model/signature_constants). - Specifies the key identifying the SignatureDef containing inputs and - outputs. - -## Model flags - -*Model flags* provide additional information about the model stored in the input -file. - -* `--input_arrays`. Type: comma-separated list of strings. Specifies the list - of names of input activation tensors. -* `--output_arrays`. Type: comma-separated list of strings. Specifies the list - of names of output activation tensors. - -The following flags define properties of the input tensors. Each item in the -`--input_arrays` flag should correspond to each item in the following flags -based on index. - -* `--input_shapes`. Type: colon-separated list of comma-separated lists of - integers. Each comma-separated list of integers gives the shape of one of - the input arrays specified in - [TensorFlow convention](https://www.tensorflow.org/versions/r1.2/programmers_guide/dims_types#shape). - * Example: `--input_shapes=1,60,80,3` for a typical vision model means a - batch size of 1, an input image height of 60, an input image width of - 80, and an input image depth of 3 (representing RGB channels). - * Example: `--input_arrays=foo,bar --input_shapes=2,3:4,5,6` means "foo" - has a shape of [2, 3] and "bar" has a shape of [4, 5, 6]. -* `--std_dev_values`, `--mean_values`. Type: comma-separated list of floats. - These specify the (de-)quantization parameters of the input array, when it - is quantized. This is only needed if `inference_input_type` is - `QUANTIZED_UINT8`. - * The meaning of `mean_values` and `std_dev_values` is as follows: each - quantized value in the quantized input array will be interpreted as a - mathematical real number (i.e. as an input activation value) according - to the following formula: - * `real_value = (quantized_input_value - mean_value) / std_dev_value`. - * When performing float inference (`--inference_type=FLOAT`) on a - quantized input, the quantized input would be immediately dequantized by - the inference code according to the above formula, before proceeding - with float inference. - * When performing quantized inference - (`--inference_type=QUANTIZED_UINT8`), no dequantization is performed by - the inference code. However, the quantization parameters of all arrays, - including those of the input arrays as specified by `mean_value` and - `std_dev_value`, determine the fixed-point multipliers used in the - quantized inference code. `mean_value` must be an integer when - performing quantized inference. - -## Transformation flags - -*Transformation flags* specify options of the transformations to be applied to -the graph, i.e. they specify requested properties that the output file should -have. - -* `--inference_type`. Type: string. Default: `FLOAT`. Data type of all - real-number arrays in the output file except for input arrays (defined by - `--inference_input_type`). Must be `{FLOAT, QUANTIZED_UINT8}`. - - This flag only impacts real-number arrays including float and quantized - arrays. This excludes all other data types including plain integer arrays - and string arrays. Specifically: - - * If `FLOAT`, then real-numbers arrays will be of type float in the output - file. If they were quantized in the input file, then they get - dequantized. - * If `QUANTIZED_UINT8`, then real-numbers arrays will be quantized as - uint8 in the output file. If they were float in the input file, then - they get quantized. - -* `--inference_input_type`. Type: string. Data type of a real-number input - array in the output file. By default the `--inference_type` is used as type - of all of the input arrays. Flag is primarily intended for generating a - float-point graph with a quantized input array. A Dequantized operator is - added immediately after the input array. Must be `{FLOAT, QUANTIZED_UINT8}`. - - The flag is typically used for vision models taking a bitmap as input but - requiring floating-point inference. For such image models, the uint8 input - is quantized and the quantization parameters used for such input arrays are - their `mean_value` and `std_dev_value` parameters. - -* `--default_ranges_min`, `--default_ranges_max`. Type: floating-point. - Default value for the (min, max) range values used for all arrays without a - specified range. Allows user to proceed with quantization of non-quantized - or incorrectly-quantized input files. These flags produce models with low - accuracy. They are intended for easy experimentation with quantization via - "dummy quantization". - -* `--drop_control_dependency`. Type: boolean. Default: True. Indicates whether - to drop control dependencies silently. This is due to TensorFlow Lite not - supporting control dependencies. - -* `--reorder_across_fake_quant`. Type: boolean. Default: False. Indicates - whether to reorder FakeQuant nodes in unexpected locations. Used when the - location of the FakeQuant nodes is preventing graph transformations - necessary to convert the graph. Results in a graph that differs from the - quantized training graph, potentially causing differing arithmetic behavior. - -* `--allow_custom_ops`. Type: string. Default: False. Indicates whether to - allow custom operations. When false, any unknown operation is an error. When - true, custom ops are created for any op that is unknown. The developer will - need to provide these to the TensorFlow Lite runtime with a custom resolver. - -* `--post_training_quantize`. Type: boolean. Default: False. Boolean - indicating whether to quantize the weights of the converted float model. - Model size will be reduced and there will be latency improvements (at the - cost of accuracy). - -## Logging flags - -The following flags generate graph visualizations of the graph as -[GraphViz](https://www.graphviz.org/) `.dot` files at various points during -graph transformations: - -* `--dump_graphviz_dir`. Type: string. Specifies the full path of the - directory to output GraphViz `.dot` files. Outputs the graph immediately - after reading in the graph and after all of the transformations have been - completed. -* `--dump_graphviz_video`. Type: boolean. Outputs GraphViz after every graph - transformation. Requires `--dump_graphviz_dir` to be specified. diff --git a/tensorflow/contrib/lite/toco/g3doc/python_api.md b/tensorflow/contrib/lite/toco/g3doc/python_api.md deleted file mode 100644 index 1f741360c6..0000000000 --- a/tensorflow/contrib/lite/toco/g3doc/python_api.md +++ /dev/null @@ -1,279 +0,0 @@ -# TensorFlow Lite Converter & Interpreter Python API reference - -This page provides examples on how to use the TensorFlow Lite Converter and the -TensorFlow Lite interpreter using the Python API. It is complemented by the -following documents: - -* [README](../README.md) -* [Command-line examples](cmdline_examples.md) -* [Command-line glossary](cmdline_reference.md) - -Table of contents: - -* [High-level overview](#high-level-overview) -* [API](#api) -* [Basic examples](#basic) - * [Exporting a GraphDef from tf.Session](#basic-graphdef-sess) - * [Exporting a GraphDef from file](#basic-graphdef-file) - * [Exporting a SavedModel](#basic-savedmodel) - * [Exporting a tf.keras File](#basic-keras-file) -* [Complex examples](#complex) - * [Exporting a quantized GraphDef](#complex-quant) -* [TensorFlow Lite Python interpreter](#interpreter) - * [Using the interpreter from a model file](#interpreter-file) - * [Using the interpreter from model data](#interpreter-data) -* [Additional instructions](#additional-instructions) - * [Build from source code](#latest-package) - * [Converting models in TensorFlow 1.9 to TensorFlow 1.11](#pre-tensorflow-1.11) - * [Converting models prior to TensorFlow 1.9](#pre-tensorflow-1.9) - -## High-level overview - -While the TensorFlow Lite Converter can be used from the command line, it is -often convenient to use in a Python script as part of the model development -pipeline. This allows you to know early that you are designing a model that can -be targeted to devices with mobile. - -## API - -The API for converting TensorFlow models to TensorFlow Lite as of TensorFlow 1.9 -is `tf.contrib.lite.TFLiteConverter`. The API for calling the Python intepreter -is `tf.contrib.lite.Interpreter`. - -Note: Reference "Additional Instructions" sections for converting TensorFlow -models to TensorFlow Lite -[in TensorFlow 1.9 to TensorFlow 1.11](#pre-tensorflow-1.11) and -[prior to TensorFlow 1.9](#pre-tensorflow-1.9) - -`TFLiteConverter` provides class methods based on the original format of the -model. `TFLiteConverter.from_session()` is available for GraphDefs. -`TFLiteConverter.from_saved_model()` is available for SavedModels. -`TFLiteConverter.from_keras_model_file()` is available for `tf.Keras` files. -Example usages for simple float-point models are shown in -[Basic Examples](#basic). Examples usages for more complex models is shown in -[Complex Examples](#complex). - -## Basic examples <a name="basic"></a> - -The following section shows examples of how to convert a basic float-point model -from each of the supported data formats into a TensorFlow Lite FlatBuffers. - -### Exporting a GraphDef from tf.Session <a name="basic-graphdef-sess"></a> - -The following example shows how to convert a TensorFlow GraphDef into a -TensorFlow Lite FlatBuffer from a `tf.Session` object. - -```python -import tensorflow as tf - -img = tf.placeholder(name="img", dtype=tf.float32, shape=(1, 64, 64, 3)) -var = tf.get_variable("weights", dtype=tf.float32, shape=(1, 64, 64, 3)) -val = img + var -out = tf.identity(val, name="out") - -with tf.Session() as sess: - sess.run(tf.global_variables_initializer()) - converter = tf.contrib.lite.TFLiteConverter.from_session(sess, [img], [out]) - tflite_model = converter.convert() - open("converted_model.tflite", "wb").write(tflite_model) -``` - -### Exporting a GraphDef from file <a name="basic-graphdef-file"></a> - -The following example shows how to convert a TensorFlow GraphDef into a -TensorFlow Lite FlatBuffer when the GraphDef is stored in a file. Both `.pb` and -`.pbtxt` files are accepted. - -The example uses -[Mobilenet_1.0_224](https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_1.0_224_frozen.tgz). -The function only supports GraphDefs frozen using -[freeze_graph.py](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/tools/freeze_graph.py). - -```python -import tensorflow as tf - -graph_def_file = "/path/to/Downloads/mobilenet_v1_1.0_224/frozen_graph.pb" -input_arrays = ["input"] -output_arrays = ["MobilenetV1/Predictions/Softmax"] - -converter = tf.contrib.lite.TFLiteConverter.from_frozen_graph( - graph_def_file, input_arrays, output_arrays) -tflite_model = converter.convert() -open("converted_model.tflite", "wb").write(tflite_model) -``` - -### Exporting a SavedModel <a name="basic-savedmodel"></a> - -The following example shows how to convert a SavedModel into a TensorFlow Lite -FlatBuffer. - -```python -import tensorflow as tf - -converter = tf.contrib.lite.TFLiteConverter.from_saved_model(saved_model_dir) -tflite_model = converter.convert() -open("converted_model.tflite", "wb").write(tflite_model) -``` - -For more complex SavedModels, the optional parameters that can be passed into -`TFLiteConverter.from_saved_model()` are `input_arrays`, `input_shapes`, -`output_arrays`, `tag_set` and `signature_key`. Details of each parameter are -available by running `help(tf.contrib.lite.TFLiteConverter)`. - -### Exporting a tf.keras File <a name="basic-keras-file"></a> - -The following example shows how to convert a `tf.keras` model into a TensorFlow -Lite FlatBuffer. This example requires -[`h5py`](http://docs.h5py.org/en/latest/build.html) to be installed. - -```python -import tensorflow as tf - -converter = tf.contrib.lite.TFLiteConverter.from_keras_model_file("keras_model.h5") -tflite_model = converter.convert() -open("converted_model.tflite", "wb").write(tflite_model) -``` - -The `tf.keras` file must contain both the model and the weights. A comprehensive -example including model construction can be seen below. - -```python -import numpy as np -import tensorflow as tf - -# Generate tf.keras model. -model = tf.keras.models.Sequential() -model.add(tf.keras.layers.Dense(2, input_shape=(3,))) -model.add(tf.keras.layers.RepeatVector(3)) -model.add(tf.keras.layers.TimeDistributed(tf.keras.layers.Dense(3))) -model.compile(loss=tf.keras.losses.MSE, - optimizer=tf.keras.optimizers.RMSprop(lr=0.0001), - metrics=[tf.keras.metrics.categorical_accuracy], - sample_weight_mode='temporal') - -x = np.random.random((1, 3)) -y = np.random.random((1, 3, 3)) -model.train_on_batch(x, y) -model.predict(x) - -# Save tf.keras model in HDF5 format. -keras_file = "keras_model.h5" -tf.keras.models.save_model(model, keras_file) - -# Convert to TensorFlow Lite model. -converter = tf.contrib.lite.TFLiteConverter.from_keras_model_file(keras_file) -tflite_model = converter.convert() -open("converted_model.tflite", "wb").write(tflite_model) -``` - -## Complex examples <a name="complex"></a> - -For models where the default value of the attributes is not sufficient, the -attribute's values should be set before calling `convert()`. In order to call -any constants use `tf.contrib.lite.constants.<CONSTANT_NAME>` as seen below with -`QUANTIZED_UINT8`. Run `help(tf.contrib.lite.TFLiteConverter)` in the Python -terminal for detailed documentation on the attributes. - -Although the examples are demonstrated on GraphDefs containing only constants. -The same logic can be applied irrespective of the input data format. - -### Exporting a quantized GraphDef <a name="complex-quant"></a> - -The following example shows how to convert a quantized model into a TensorFlow -Lite FlatBuffer. - -```python -import tensorflow as tf - -img = tf.placeholder(name="img", dtype=tf.float32, shape=(1, 64, 64, 3)) -const = tf.constant([1., 2., 3.]) + tf.constant([1., 4., 4.]) -val = img + const -out = tf.fake_quant_with_min_max_args(val, min=0., max=1., name="output") - -with tf.Session() as sess: - converter = tf.contrib.lite.TFLiteConverter.from_session(sess, [img], [out]) - converter.inference_type = tf.contrib.lite.constants.QUANTIZED_UINT8 - input_arrays = converter.get_input_arrays() - converter.quantized_input_stats = {input_arrays[0] : (0., 1.)} # mean, std_dev - tflite_model = converter.convert() - open("converted_model.tflite", "wb").write(tflite_model) -``` - -## TensorFlow Lite Python interpreter <a name="interpreter"></a> - -### Using the interpreter from a model file <a name="interpreter-file"></a> - -The following example shows how to use the TensorFlow Lite Python interpreter -when provided a TensorFlow Lite FlatBuffer file. The example also demonstrates -how to run inference on random input data. Run -`help(tf.contrib.lite.Interpreter)` in the Python terminal to get detailed -documentation on the interpreter. - -```python -import numpy as np -import tensorflow as tf - -# Load TFLite model and allocate tensors. -interpreter = tf.contrib.lite.Interpreter(model_path="converted_model.tflite") -interpreter.allocate_tensors() - -# Get input and output tensors. -input_details = interpreter.get_input_details() -output_details = interpreter.get_output_details() - -# Test model on random input data. -input_shape = input_details[0]['shape'] -input_data = np.array(np.random.random_sample(input_shape), dtype=np.float32) -interpreter.set_tensor(input_details[0]['index'], input_data) - -interpreter.invoke() -output_data = interpreter.get_tensor(output_details[0]['index']) -print(output_data) -``` - -### Using the interpreter from model data <a name="interpreter-data"></a> - -The following example shows how to use the TensorFlow Lite Python interpreter -when starting with the TensorFlow Lite Flatbuffer model previously loaded. This -example shows an end-to-end use case, starting from building the TensorFlow -model. - -```python -import numpy as np -import tensorflow as tf - -img = tf.placeholder(name="img", dtype=tf.float32, shape=(1, 64, 64, 3)) -const = tf.constant([1., 2., 3.]) + tf.constant([1., 4., 4.]) -val = img + const -out = tf.identity(val, name="out") - -with tf.Session() as sess: - converter = tf.contrib.lite.TFLiteConverter.from_session(sess, [img], [out]) - tflite_model = converter.convert() - -# Load TFLite model and allocate tensors. -interpreter = tf.contrib.lite.Interpreter(model_content=tflite_model) -interpreter.allocate_tensors() -``` - -## Additional instructions - -### Build from source code <a name="latest-package"></a> - -In order to run the latest version of the TensorFlow Lite Converter Python API, -either install the nightly build with -[pip](https://www.tensorflow.org/install/pip) (recommended) or -[Docker](https://www.tensorflow.org/install/docker), or -[build the pip package from source](https://www.tensorflow.org/install/source). - -### Converting models in TensorFlow 1.9 to TensorFlow 1.11 <a name="#pre-tensorflow-1.11"></a> - -To convert TensorFlow models to TensorFlow Lite in TensorFlow 1.9 through -TensorFlow 1.11, use `TocoConverter`. `TocoConverter` is semantically -identically to `TFLiteConverter`. - -### Converting models prior to TensorFlow 1.9 <a name="pre-tensorflow-1.9"></a> - -To convert TensorFlow models to TensorFlow Lite in TensorFlow 1.7 and TensorFlow -1.8, use the `toco_convert` function. Run `help(tf.contrib.lite.toco_convert)` -to get details about accepted parameters. diff --git a/tensorflow/contrib/lite/toco/g3doc/toco_landscape.svg b/tensorflow/contrib/lite/toco/g3doc/toco_landscape.svg deleted file mode 100644 index 335debde57..0000000000 --- a/tensorflow/contrib/lite/toco/g3doc/toco_landscape.svg +++ /dev/null @@ -1 +0,0 @@ -<svg version="1.1" viewBox="0.0 0.0 720.0 540.0" fill="none" stroke="none" stroke-linecap="square" stroke-miterlimit="10" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg"><clipPath id="p.0"><path d="m0 0l720.0 0l0 540.0l-720.0 0l0 -540.0z" clip-rule="nonzero"/></clipPath><g clip-path="url(#p.0)"><path fill="#000000" fill-opacity="0.0" d="m0 0l720.0 0l0 540.0l-720.0 0z" fill-rule="evenodd"/><path fill="#f3f3f3" d="m19.375328 28.750656l361.6378 0l0 358.01575l-361.6378 0z" fill-rule="evenodd"/><path stroke="#cccccc" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m19.375328 28.750656l361.6378 0l0 358.01575l-361.6378 0z" fill-rule="evenodd"/><path fill="#434343" d="m338.49512 374.66016q-0.609375 0 -1.171875 -0.140625q-0.546875 -0.15625 -0.96875 -0.421875q-0.25 -0.15625 -0.359375 -0.296875q-0.09375 -0.140625 -0.09375 -0.34375q0 -0.171875 0.09375 -0.28125q0.109375 -0.109375 0.265625 -0.109375q0.171875 0 0.46875 0.1875q0.40625 0.25 0.796875 0.390625q0.390625 0.140625 0.984375 0.140625q0.71875 0 1.109375 -0.25q0.40625 -0.265625 0.40625 -0.734375q0 -0.296875 -0.15625 -0.46875q-0.140625 -0.1875 -0.5 -0.328125q-0.359375 -0.140625 -1.046875 -0.296875q-1.171875 -0.25 -1.6875 -0.671875q-0.5 -0.421875 -0.5 -1.15625q0 -0.578125 0.3125 -1.015625q0.328125 -0.4375 0.890625 -0.6875q0.5625 -0.265625 1.28125 -0.265625q0.53125 0 1.015625 0.140625q0.484375 0.140625 0.859375 0.390625q0.453125 0.328125 0.453125 0.671875q0 0.171875 -0.109375 0.296875q-0.109375 0.125 -0.25 0.125q-0.15625 0 -0.484375 -0.234375q-0.375 -0.234375 -0.703125 -0.359375q-0.328125 -0.140625 -0.828125 -0.140625q-0.625 0 -1.015625 0.28125q-0.375 0.265625 -0.375 0.734375q0 0.296875 0.140625 0.484375q0.140625 0.171875 0.46875 0.3125q0.328125 0.140625 0.9375 0.28125q0.90625 0.1875 1.40625 0.4375q0.5 0.234375 0.703125 0.578125q0.21875 0.34375 0.21875 0.890625q0 0.828125 -0.703125 1.34375q-0.703125 0.515625 -1.859375 0.515625zm9.241241 -1.59375q0.140625 0 0.25 0.125q0.109375 0.109375 0.109375 0.296875q0 0.328125 -0.46875 0.609375q-0.484375 0.28125 -1.015625 0.421875q-0.53125 0.140625 -1.046875 0.140625q-1.5 0 -2.375 -0.890625q-0.875 -0.890625 -0.875 -2.46875q0 -1.0 0.390625 -1.765625q0.390625 -0.765625 1.078125 -1.1875q0.703125 -0.4375 1.59375 -0.4375q1.265625 0 2.015625 0.828125q0.75 0.828125 0.75 2.25q0 0.265625 -0.109375 0.390625q-0.109375 0.109375 -0.34375 0.109375l-4.296875 0q0.125 2.296875 2.171875 2.296875q0.53125 0 0.890625 -0.140625q0.375 -0.140625 0.8125 -0.390625q0.34375 -0.1875 0.46875 -0.1875zm-2.34375 -4.3125q-0.84375 0 -1.359375 0.53125q-0.515625 0.53125 -0.609375 1.515625l3.765625 0q-0.015625 -1.0 -0.484375 -1.515625q-0.46875 -0.53125 -1.3125 -0.53125zm7.5551147 -0.8125q0.546875 -0.03125 0.546875 0.453125q0 0.21875 -0.125 0.34375q-0.109375 0.125 -0.40625 0.15625l-0.390625 0.03125q-0.890625 0.078125 -1.328125 0.640625q-0.4375 0.546875 -0.4375 1.296875l0 3.234375q0 0.265625 -0.15625 0.40625q-0.140625 0.125 -0.375 0.125q-0.234375 0 -0.390625 -0.140625q-0.15625 -0.140625 -0.15625 -0.390625l0 -5.625q0 -0.25 0.15625 -0.390625q0.15625 -0.140625 0.390625 -0.140625q0.21875 0 0.359375 0.140625q0.140625 0.140625 0.140625 0.375l0 0.75q0.28125 -0.578125 0.796875 -0.890625q0.515625 -0.3125 1.1875 -0.359375l0.1875 -0.015625zm6.157959 0.328125q0.15625 -0.3125 0.46875 -0.3125q0.203125 0 0.359375 0.140625q0.15625 0.125 0.15625 0.328125q0 0.109375 -0.046875 0.203125l-2.59375 5.609375q-0.078125 0.171875 -0.25 0.28125q-0.15625 0.09375 -0.34375 0.09375q-0.171875 0 -0.328125 -0.09375q-0.15625 -0.109375 -0.25 -0.28125l-2.59375 -5.609375q-0.046875 -0.09375 -0.046875 -0.1875q0 -0.203125 0.171875 -0.34375q0.1875 -0.15625 0.390625 -0.15625q0.140625 0 0.265625 0.078125q0.125 0.078125 0.1875 0.234375l2.234375 5.0l2.21875 -4.984375zm7.2099915 4.796875q0.140625 0 0.25 0.125q0.109375 0.109375 0.109375 0.296875q0 0.328125 -0.46875 0.609375q-0.484375 0.28125 -1.015625 0.421875q-0.53125 0.140625 -1.046875 0.140625q-1.5 0 -2.375 -0.890625q-0.875 -0.890625 -0.875 -2.46875q0 -1.0 0.390625 -1.765625q0.390625 -0.765625 1.078125 -1.1875q0.703125 -0.4375 1.59375 -0.4375q1.265625 0 2.015625 0.828125q0.75 0.828125 0.75 2.25q0 0.265625 -0.109375 0.390625q-0.109375 0.109375 -0.34375 0.109375l-4.296875 0q0.125 2.296875 2.171875 2.296875q0.53125 0 0.890625 -0.140625q0.375 -0.140625 0.8125 -0.390625q0.34375 -0.1875 0.46875 -0.1875zm-2.34375 -4.3125q-0.84375 0 -1.359375 0.53125q-0.515625 0.53125 -0.609375 1.515625l3.765625 0q-0.015625 -1.0 -0.484375 -1.515625q-0.46875 -0.53125 -1.3125 -0.53125zm7.5551453 -0.8125q0.546875 -0.03125 0.546875 0.453125q0 0.21875 -0.125 0.34375q-0.109375 0.125 -0.40625 0.15625l-0.390625 0.03125q-0.890625 0.078125 -1.328125 0.640625q-0.4375 0.546875 -0.4375 1.296875l0 3.234375q0 0.265625 -0.15625 0.40625q-0.140625 0.125 -0.375 0.125q-0.234375 0 -0.390625 -0.140625q-0.15625 -0.140625 -0.15625 -0.390625l0 -5.625q0 -0.25 0.15625 -0.390625q0.15625 -0.140625 0.390625 -0.140625q0.21875 0 0.359375 0.140625q0.140625 0.140625 0.140625 0.375l0 0.75q0.28125 -0.578125 0.796875 -0.890625q0.515625 -0.3125 1.1875 -0.359375l0.1875 -0.015625z" fill-rule="nonzero"/><path fill="#d9d9d9" d="m25.624672 36.249344l301.88977 0l0 69.98425l-301.88977 0z" fill-rule="evenodd"/><path stroke="#cccccc" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" stroke-dasharray="4.0,3.0" d="m25.624672 36.249344l301.88977 0l0 69.98425l-301.88977 0z" fill-rule="evenodd"/><path fill="#434343" d="m134.36497 56.831844q-0.234375 0 -0.375 -0.140625q-0.140625 -0.140625 -0.140625 -0.359375l0 -7.1875l-2.578125 0q-0.21875 0 -0.34375 -0.109375q-0.109375 -0.109375 -0.109375 -0.3125q0 -0.203125 0.109375 -0.296875q0.125 -0.109375 0.34375 -0.109375l6.15625 0q0.21875 0 0.328125 0.109375q0.125 0.09375 0.125 0.296875q0 0.203125 -0.125 0.3125q-0.109375 0.109375 -0.328125 0.109375l-2.578125 0l0 7.1875q0 0.21875 -0.140625 0.359375q-0.125 0.140625 -0.34375 0.140625zm9.004181 -1.421875q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375zm6.839676 -0.75q2.09375 0 2.09375 2.3125l0 3.25q0 0.234375 -0.125 0.359375q-0.125 0.125 -0.359375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -3.1875q0 -0.8125 -0.328125 -1.1875q-0.3125 -0.375 -1.0 -0.375q-0.8125 0 -1.296875 0.5q-0.46875 0.484375 -0.46875 1.328125l0 2.921875q0 0.234375 -0.125 0.359375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.21875 0.125 -0.34375q0.125 -0.140625 0.359375 -0.140625q0.21875 0 0.34375 0.140625q0.125 0.125 0.125 0.328125l0 0.609375q0.28125 -0.53125 0.796875 -0.8125q0.53125 -0.28125 1.1875 -0.28125zm5.84729 6.0625q-0.56248474 0 -1.0624847 -0.125q-0.5 -0.140625 -0.875 -0.375q-0.21875 -0.140625 -0.3125 -0.265625q-0.078125 -0.125 -0.078125 -0.3125q0 -0.15625 0.078125 -0.25q0.09375 -0.109375 0.234375 -0.109375q0.15625 0 0.421875 0.1875q0.359375 0.21875 0.71875 0.34375q0.359375 0.125 0.87498474 0.125q0.65625 0 1.015625 -0.21875q0.359375 -0.234375 0.359375 -0.671875q0 -0.265625 -0.140625 -0.421875q-0.125 -0.171875 -0.453125 -0.296875q-0.3125 -0.125 -0.9375 -0.25q-1.0624847 -0.234375 -1.5156097 -0.609375q-0.453125 -0.390625 -0.453125 -1.046875q0 -0.515625 0.28125 -0.90625q0.28125 -0.40625 0.796875 -0.625q0.515625 -0.234375 1.1562347 -0.234375q0.46875 0 0.90625 0.125q0.4375 0.125 0.78125 0.34375q0.40625 0.296875 0.40625 0.609375q0 0.15625 -0.09375 0.265625q-0.09375 0.109375 -0.234375 0.109375q-0.140625 0 -0.4375 -0.203125q-0.328125 -0.21875 -0.625 -0.34375q-0.296875 -0.125 -0.75 -0.125q-0.56248474 0 -0.90623474 0.265625q-0.34375 0.25 -0.34375 0.671875q0 0.25 0.125 0.421875q0.125 0.15625 0.421875 0.28125q0.296875 0.125 0.84373474 0.25q0.828125 0.1875 1.265625 0.40625q0.453125 0.203125 0.640625 0.515625q0.203125 0.3125 0.203125 0.796875q0 0.75 -0.640625 1.21875q-0.640625 0.453125 -1.671875 0.453125zm6.2131653 0q-0.828125 0 -1.46875 -0.359375q-0.625 -0.375 -0.96875 -1.0625q-0.34375 -0.703125 -0.34375 -1.609375q0 -0.90625 0.34375 -1.59375q0.34375 -0.703125 0.96875 -1.0625q0.640625 -0.375 1.46875 -0.375q0.828125 0 1.453125 0.375q0.640625 0.359375 0.984375 1.0625q0.34375 0.6875 0.34375 1.59375q0 0.90625 -0.34375 1.609375q-0.34375 0.6875 -0.984375 1.0625q-0.625 0.359375 -1.453125 0.359375zm0 -0.796875q0.859375 0 1.3125 -0.5625q0.46875 -0.578125 0.46875 -1.671875q0 -1.0625 -0.46875 -1.640625q-0.46875 -0.59375 -1.3125 -0.59375q-0.859375 0 -1.328125 0.59375q-0.46875 0.578125 -0.46875 1.640625q0 1.078125 0.453125 1.65625q0.46875 0.578125 1.34375 0.578125zm7.1288147 -5.25q0.5 -0.03125 0.5 0.40625q0 0.203125 -0.109375 0.3125q-0.109375 0.109375 -0.375 0.140625l-0.359375 0.03125q-0.796875 0.078125 -1.1875 0.578125q-0.390625 0.484375 -0.390625 1.15625l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.140625 -0.359375q0.140625 -0.125 0.34375 -0.125q0.1875 0 0.3125 0.125q0.140625 0.125 0.140625 0.34375l0 0.671875q0.25 -0.53125 0.71875 -0.796875q0.46875 -0.28125 1.0625 -0.328125l0.171875 -0.015625zm1.970398 6.03125q-0.21875 0 -0.359375 -0.140625q-0.125 -0.140625 -0.125 -0.359375l0 -7.546875q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.375 -0.125l4.375 0q0.203125 0 0.328125 0.109375q0.125 0.09375 0.125 0.296875q0 0.203125 -0.125 0.3125q-0.125 0.109375 -0.328125 0.109375l-3.90625 0l0 2.90625l3.65625 0q0.21875 0 0.328125 0.109375q0.125 0.109375 0.125 0.3125q0 0.1875 -0.125 0.296875q-0.109375 0.109375 -0.328125 0.109375l-3.65625 0l0 3.453125q0 0.21875 -0.125 0.359375q-0.125 0.140625 -0.359375 0.140625zm6.5434265 0q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -7.625q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.359375 -0.125q0.203125 0 0.34375 0.125q0.140625 0.125 0.140625 0.34375l0 7.625q0 0.234375 -0.140625 0.359375q-0.140625 0.125 -0.34375 0.125zm4.721527 0.015625q-0.828125 0 -1.46875 -0.359375q-0.625 -0.375 -0.96875 -1.0625q-0.34375 -0.703125 -0.34375 -1.609375q0 -0.90625 0.34375 -1.59375q0.34375 -0.703125 0.96875 -1.0625q0.640625 -0.375 1.46875 -0.375q0.828125 0 1.453125 0.375q0.640625 0.359375 0.984375 1.0625q0.34375 0.6875 0.34375 1.59375q0 0.90625 -0.34375 1.609375q-0.34375 0.6875 -0.984375 1.0625q-0.625 0.359375 -1.453125 0.359375zm0 -0.796875q0.859375 0 1.3125 -0.5625q0.46875 -0.578125 0.46875 -1.671875q0 -1.0625 -0.46875 -1.640625q-0.46875 -0.59375 -1.3125 -0.59375q-0.859375 0 -1.328125 0.59375q-0.46875 0.578125 -0.46875 1.640625q0 1.078125 0.453125 1.65625q0.46875 0.578125 1.34375 0.578125zm12.222534 -4.9375q0.125 -0.28125 0.390625 -0.28125q0.1875 0 0.328125 0.125q0.140625 0.109375 0.140625 0.296875q0 0.078125 -0.03125 0.171875l-1.984375 5.046875q-0.078125 0.15625 -0.21875 0.25q-0.140625 0.078125 -0.296875 0.078125q-0.15625 0 -0.296875 -0.078125q-0.140625 -0.09375 -0.21875 -0.25l-1.65625 -4.21875l-1.640625 4.21875q-0.0625 0.15625 -0.203125 0.25q-0.140625 0.078125 -0.3125 0.078125q-0.15625 0 -0.296875 -0.078125q-0.140625 -0.09375 -0.21875 -0.25l-1.984375 -5.03125q-0.046875 -0.09375 -0.046875 -0.171875q0 -0.1875 0.15625 -0.3125q0.171875 -0.140625 0.359375 -0.140625q0.296875 0 0.40625 0.296875l1.65625 4.421875l1.6875 -4.390625q0.078125 -0.15625 0.203125 -0.234375q0.125 -0.09375 0.265625 -0.09375q0.15625 0 0.28125 0.09375q0.125 0.078125 0.1875 0.234375l1.6875 4.375l1.65625 -4.40625zm12.637604 5.09375q0.046875 0.09375 0.046875 0.203125q0 0.171875 -0.140625 0.296875q-0.140625 0.125 -0.328125 0.125q-0.296875 0 -0.421875 -0.296875l-0.84375 -1.9375l-4.53125 0l-0.859375 1.9375q-0.125 0.296875 -0.421875 0.296875q-0.1875 0 -0.34375 -0.125q-0.140625 -0.125 -0.140625 -0.3125q0 -0.09375 0.046875 -0.1875l3.4375 -7.640625q0.078125 -0.15625 0.21875 -0.234375q0.140625 -0.09375 0.3125 -0.09375q0.171875 0 0.3125 0.09375q0.15625 0.078125 0.21875 0.234375l3.4375 7.640625zm-5.859375 -2.421875l3.8125 0l-1.90625 -4.3125l-1.90625 4.3125zm7.78656 3.046875q-0.21875 0 -0.359375 -0.140625q-0.125 -0.140625 -0.125 -0.359375l0 -7.546875q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.375 -0.125l2.84375 0q1.328125 0 2.0625 0.65625q0.75 0.640625 0.75 1.828125q0 1.1875 -0.75 1.84375q-0.734375 0.65625 -2.0625 0.65625l-2.359375 0l0 3.03125q0 0.21875 -0.140625 0.359375q-0.125 0.140625 -0.359375 0.140625zm2.765625 -4.34375q1.9375 0 1.9375 -1.6875q0 -1.671875 -1.9375 -1.671875l-2.265625 0l0 3.359375l2.265625 0zm4.9744263 4.34375q-0.21875 0 -0.359375 -0.140625q-0.125 -0.140625 -0.125 -0.359375l0 -7.578125q0 -0.234375 0.125 -0.359375q0.140625 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.140625q0.140625 0.125 0.140625 0.359375l0 7.578125q0 0.21875 -0.140625 0.359375q-0.125 0.140625 -0.359375 0.140625zm4.4157715 0.015625q-0.5625 0 -1.0625 -0.125q-0.5 -0.140625 -0.875 -0.375q-0.21875 -0.140625 -0.3125 -0.265625q-0.078125 -0.125 -0.078125 -0.3125q0 -0.15625 0.078125 -0.25q0.09375 -0.109375 0.234375 -0.109375q0.15625 0 0.421875 0.1875q0.359375 0.21875 0.71875 0.34375q0.359375 0.125 0.875 0.125q0.65625 0 1.015625 -0.21875q0.359375 -0.234375 0.359375 -0.671875q0 -0.265625 -0.140625 -0.421875q-0.125 -0.171875 -0.453125 -0.296875q-0.3125 -0.125 -0.9375 -0.25q-1.0625 -0.234375 -1.515625 -0.609375q-0.453125 -0.390625 -0.453125 -1.046875q0 -0.515625 0.28125 -0.90625q0.28125 -0.40625 0.796875 -0.625q0.515625 -0.234375 1.15625 -0.234375q0.46875 0 0.90625 0.125q0.4375 0.125 0.78125 0.34375q0.40625 0.296875 0.40625 0.609375q0 0.15625 -0.09375 0.265625q-0.09375 0.109375 -0.234375 0.109375q-0.140625 0 -0.4375 -0.203125q-0.328125 -0.21875 -0.625 -0.34375q-0.296875 -0.125 -0.75 -0.125q-0.5625 0 -0.90625 0.265625q-0.34375 0.25 -0.34375 0.671875q0 0.25 0.125 0.421875q0.125 0.15625 0.421875 0.28125q0.296875 0.125 0.84375 0.25q0.828125 0.1875 1.265625 0.40625q0.453125 0.203125 0.640625 0.515625q0.203125 0.3125 0.203125 0.796875q0 0.75 -0.640625 1.21875q-0.640625 0.453125 -1.671875 0.453125z" fill-rule="nonzero"/><path fill="#f3f3f3" d="m396.75067 183.75066l249.00787 0l0 203.02364l-249.00787 0z" fill-rule="evenodd"/><path stroke="#cccccc" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m396.75067 183.75066l249.00787 0l0 203.02364l-249.00787 0z" fill-rule="evenodd"/><path fill="#434343" d="m409.42255 374.66803q-0.90625 0 -1.609375 -0.40625q-0.6875 -0.421875 -1.078125 -1.171875q-0.375 -0.765625 -0.375 -1.765625q0 -1.0 0.390625 -1.765625q0.40625 -0.78125 1.109375 -1.203125q0.703125 -0.4375 1.625 -0.4375q0.5 0 1.0 0.140625q0.5 0.140625 0.875 0.40625q0.234375 0.171875 0.328125 0.328125q0.109375 0.140625 0.109375 0.328125q0 0.1875 -0.109375 0.3125q-0.09375 0.109375 -0.25 0.109375q-0.09375 0 -0.203125 -0.046875q-0.09375 -0.046875 -0.171875 -0.09375q-0.078125 -0.0625 -0.09375 -0.078125q-0.359375 -0.234375 -0.671875 -0.359375q-0.3125 -0.140625 -0.765625 -0.140625q-0.96875 0 -1.515625 0.671875q-0.53125 0.65625 -0.53125 1.828125q0 1.171875 0.53125 1.8125q0.546875 0.640625 1.515625 0.640625q0.453125 0 0.78125 -0.125q0.328125 -0.140625 0.65625 -0.375q0.15625 -0.09375 0.28125 -0.15625q0.140625 -0.0625 0.234375 -0.0625q0.140625 0 0.234375 0.125q0.109375 0.109375 0.109375 0.296875q0 0.171875 -0.09375 0.3125q-0.09375 0.140625 -0.34375 0.3125q-0.375 0.25 -0.90625 0.40625q-0.515625 0.15625 -1.0625 0.15625zm4.2591553 -0.03125q-0.234375 0 -0.390625 -0.140625q-0.15625 -0.140625 -0.15625 -0.390625l0 -8.46875q0 -0.25 0.15625 -0.390625q0.15625 -0.140625 0.390625 -0.140625q0.21875 0 0.375 0.140625q0.15625 0.140625 0.15625 0.390625l0 8.46875q0 0.25 -0.15625 0.390625q-0.15625 0.140625 -0.375 0.140625zm3.092102 0q-0.234375 0 -0.390625 -0.140625q-0.15625 -0.140625 -0.15625 -0.390625l0 -5.625q0 -0.25 0.15625 -0.390625q0.15625 -0.140625 0.390625 -0.140625q0.234375 0 0.375 0.140625q0.15625 0.140625 0.15625 0.390625l0 5.625q0 0.265625 -0.15625 0.40625q-0.140625 0.125 -0.375 0.125zm0 -8.09375q-0.3125 0 -0.515625 -0.171875q-0.203125 -0.1875 -0.203125 -0.5q0 -0.296875 0.203125 -0.484375q0.203125 -0.1875 0.515625 -0.1875q0.328125 0 0.515625 0.1875q0.203125 0.1875 0.203125 0.484375q0 0.3125 -0.203125 0.5q-0.1875 0.171875 -0.515625 0.171875zm7.5765076 6.53125q0.140625 0 0.25 0.125q0.109375 0.109375 0.109375 0.296875q0 0.328125 -0.46875 0.609375q-0.484375 0.28125 -1.015625 0.421875q-0.53125 0.140625 -1.046875 0.140625q-1.5 0 -2.375 -0.890625q-0.875 -0.890625 -0.875 -2.46875q0 -1.0 0.390625 -1.765625q0.390625 -0.765625 1.078125 -1.1875q0.703125 -0.4375 1.59375 -0.4375q1.265625 0 2.015625 0.828125q0.75 0.828125 0.75 2.25q0 0.265625 -0.109375 0.390625q-0.109375 0.109375 -0.34375 0.109375l-4.296875 0q0.125 2.296875 2.171875 2.296875q0.53125 0 0.890625 -0.140625q0.375 -0.140625 0.8125 -0.390625q0.34375 -0.1875 0.46875 -0.1875zm-2.34375 -4.3125q-0.84375 0 -1.359375 0.53125q-0.515625 0.53125 -0.609375 1.515625l3.765625 0q-0.015625 -1.0 -0.484375 -1.515625q-0.46875 -0.53125 -1.3125 -0.53125zm7.6020203 -0.84375q2.328125 0 2.328125 2.578125l0 3.609375q0 0.25 -0.140625 0.390625q-0.140625 0.140625 -0.390625 0.140625q-0.25 0 -0.40625 -0.140625q-0.140625 -0.140625 -0.140625 -0.390625l0 -3.546875q0 -0.90625 -0.359375 -1.3125q-0.34375 -0.421875 -1.125 -0.421875q-0.890625 0 -1.421875 0.546875q-0.53125 0.546875 -0.53125 1.484375l0 3.25q0 0.25 -0.140625 0.390625q-0.140625 0.140625 -0.390625 0.140625q-0.25 0 -0.40625 -0.140625q-0.140625 -0.140625 -0.140625 -0.390625l0 -5.625q0 -0.234375 0.140625 -0.375q0.15625 -0.15625 0.40625 -0.15625q0.234375 0 0.375 0.15625q0.140625 0.140625 0.140625 0.359375l0 0.6875q0.328125 -0.609375 0.890625 -0.921875q0.578125 -0.3125 1.3125 -0.3125zm7.304718 5.875q0.46875 0.03125 0.46875 0.421875q0 0.21875 -0.171875 0.34375q-0.171875 0.109375 -0.5 0.078125l-0.359375 -0.015625q-1.0625 -0.09375 -1.578125 -0.640625q-0.5 -0.5625 -0.5 -1.703125l0 -3.34375l-0.890625 0q-0.234375 0 -0.359375 -0.109375q-0.125 -0.109375 -0.125 -0.296875q0 -0.203125 0.125 -0.3125q0.125 -0.125 0.359375 -0.125l0.890625 0l0 -1.515625q0 -0.25 0.140625 -0.390625q0.15625 -0.140625 0.40625 -0.140625q0.234375 0 0.375 0.140625q0.15625 0.140625 0.15625 0.390625l0 1.515625l1.484375 0q0.203125 0 0.328125 0.125q0.140625 0.109375 0.140625 0.3125q0 0.1875 -0.140625 0.296875q-0.125 0.109375 -0.328125 0.109375l-1.484375 0l0 3.40625q0 0.734375 0.296875 1.0625q0.296875 0.3125 0.90625 0.359375l0.359375 0.03125z" fill-rule="nonzero"/><path fill="#f4cccc" d="m206.61942 201.17455l140.47244 0l0 30.992126l-140.47244 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m206.61942 201.17455l140.47244 0l0 30.992126l-140.47244 0z" fill-rule="evenodd"/><path fill="#000000" d="m237.0857 213.5031q-0.640625 0.046875 -0.96875 0.40625q-0.3125 0.34375 -0.3125 1.046875l0 0.390625l1.328125 0q0.203125 0 0.3125 0.109375q0.109375 0.109375 0.109375 0.28125q0 0.1875 -0.109375 0.28125q-0.109375 0.09375 -0.3125 0.09375l-1.328125 0l0 4.65625q0 0.234375 -0.140625 0.359375q-0.140625 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.140625 -0.125 -0.140625 -0.359375l0 -4.65625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -0.21875q0 -1.078125 0.53125 -1.6875q0.546875 -0.625 1.5625 -0.703125l0.3125 -0.015625q0.3125 -0.03125 0.453125 0.0625q0.140625 0.078125 0.140625 0.296875q0 0.34375 -0.421875 0.390625l-0.3125 0.03125zm4.248535 1.71875q0.5 -0.03125 0.5 0.40625q0 0.203125 -0.109375 0.3125q-0.109375 0.109375 -0.375 0.140625l-0.359375 0.03125q-0.796875 0.078125 -1.1875 0.578125q-0.390625 0.484375 -0.390625 1.15625l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.140625 -0.359375q0.140625 -0.125 0.34375 -0.125q0.1875 0 0.3125 0.125q0.140625 0.125 0.140625 0.34375l0 0.671875q0.25 -0.53125 0.71875 -0.796875q0.46875 -0.28125 1.0625 -0.328125l0.171875 -0.015625zm5.861023 4.609375q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375zm8.417801 3.875q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375zm8.199051 4.46875q0.203125 0 0.296875 0.109375q0.109375 0.09375 0.109375 0.265625q0 0.1875 -0.109375 0.296875q-0.09375 0.09375 -0.296875 0.09375l-4.203125 0q-0.203125 0 -0.34375 -0.125q-0.125 -0.125 -0.125 -0.3125q0 -0.1875 0.140625 -0.359375l3.546875 -4.28125l-3.28125 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l4.0625 0q0.21875 0 0.34375 0.125q0.140625 0.125 0.140625 0.3125q0 0.1875 -0.140625 0.359375l-3.5625 4.28125l3.421875 0zm6.2547913 -0.59375q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375zm3.3865662 5.875q-0.171875 0 -0.28125 -0.09375q-0.109375 -0.09375 -0.109375 -0.21875q0 -0.140625 0.109375 -0.234375q0.109375 -0.09375 0.28125 -0.09375l5.21875 0q0.171875 0 0.28125 0.09375q0.109375 0.09375 0.109375 0.234375q0 0.125 -0.109375 0.21875q-0.109375 0.09375 -0.28125 0.09375l-5.21875 0zm11.2500305 -6.609375q0.234375 0 0.359375 0.140625q0.125 0.125 0.125 0.34375l0 5.09375q0 1.296875 -0.671875 1.96875q-0.671875 0.671875 -1.984375 0.671875q-1.28125 0 -2.140625 -0.515625q-0.421875 -0.234375 -0.421875 -0.546875q0 -0.171875 0.078125 -0.28125q0.09375 -0.109375 0.234375 -0.109375q0.125 0 0.4375 0.171875q0.421875 0.21875 0.828125 0.34375q0.40625 0.140625 0.96875 0.140625q0.859375 0 1.28125 -0.453125q0.4375 -0.453125 0.4375 -1.3125l0 -1.03125q-0.25 0.5625 -0.78125 0.859375q-0.515625 0.296875 -1.21875 0.296875q-0.765625 0 -1.359375 -0.359375q-0.59375 -0.359375 -0.9375 -1.015625q-0.328125 -0.65625 -0.328125 -1.515625q0 -0.875 0.328125 -1.53125q0.34375 -0.65625 0.9375 -1.015625q0.59375 -0.359375 1.359375 -0.359375q0.6875 0 1.203125 0.296875q0.515625 0.296875 0.78125 0.84375l0 -0.640625q0 -0.21875 0.125 -0.34375q0.125 -0.140625 0.359375 -0.140625zm-2.28125 4.984375q0.84375 0 1.3125 -0.546875q0.484375 -0.5625 0.484375 -1.546875q0 -0.984375 -0.46875 -1.53125q-0.46875 -0.5625 -1.328125 -0.5625q-0.84375 0 -1.34375 0.5625q-0.484375 0.546875 -0.484375 1.53125q0 0.984375 0.484375 1.546875q0.5 0.546875 1.34375 0.546875zm7.4695435 -4.984375q0.5 -0.03125 0.5 0.40625q0 0.203125 -0.109375 0.3125q-0.109375 0.109375 -0.375 0.140625l-0.359375 0.03125q-0.796875 0.078125 -1.1875 0.578125q-0.390625 0.484375 -0.390625 1.15625l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.140625 -0.359375q0.140625 -0.125 0.34375 -0.125q0.1875 0 0.3125 0.125q0.140625 0.125 0.140625 0.34375l0 0.671875q0.25 -0.53125 0.71875 -0.796875q0.46875 -0.28125 1.0625 -0.328125l0.171875 -0.015625zm3.720398 -0.015625q2.203125 0 2.203125 2.296875l0 3.265625q0 0.21875 -0.125 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -0.578125q-0.21875 0.515625 -0.6875 0.796875q-0.46875 0.28125 -1.078125 0.28125q-0.5625 0 -1.046875 -0.21875q-0.46875 -0.234375 -0.75 -0.640625q-0.265625 -0.40625 -0.265625 -0.90625q0 -0.65625 0.328125 -1.015625q0.34375 -0.375 1.109375 -0.53125q0.765625 -0.15625 2.125 -0.15625l0.265625 0l0 -0.40625q0 -0.71875 -0.296875 -1.046875q-0.28125 -0.34375 -0.953125 -0.34375q-0.8125 0 -1.65625 0.453125q-0.3125 0.203125 -0.453125 0.203125q-0.140625 0 -0.234375 -0.109375q-0.09375 -0.109375 -0.09375 -0.28125q0 -0.171875 0.09375 -0.296875q0.109375 -0.125 0.328125 -0.25q0.421875 -0.25 0.953125 -0.375q0.546875 -0.140625 1.0625 -0.140625zm-0.390625 5.296875q0.71875 0 1.171875 -0.484375q0.46875 -0.484375 0.46875 -1.25l0 -0.34375l-0.21875 0q-1.046875 0 -1.609375 0.09375q-0.546875 0.078125 -0.78125 0.296875q-0.234375 0.203125 -0.234375 0.609375q0 0.46875 0.34375 0.78125q0.34375 0.296875 0.859375 0.296875zm7.3131714 -5.296875q0.765625 0 1.34375 0.390625q0.59375 0.375 0.921875 1.0625q0.328125 0.6875 0.328125 1.609375q0 0.90625 -0.328125 1.59375q-0.328125 0.671875 -0.90625 1.046875q-0.578125 0.359375 -1.359375 0.359375q-0.6875 0 -1.203125 -0.296875q-0.5 -0.296875 -0.765625 -0.84375l0 2.8125q0 0.21875 -0.125 0.34375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.140625q-0.125 -0.125 -0.125 -0.328125l0 -7.234375q0 -0.21875 0.125 -0.34375q0.125 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.140625q0.125 0.125 0.125 0.34375l0 0.640625q0.265625 -0.546875 0.765625 -0.84375q0.515625 -0.296875 1.203125 -0.296875zm-0.203125 5.265625q0.859375 0 1.328125 -0.578125q0.46875 -0.578125 0.46875 -1.625q0 -1.0625 -0.46875 -1.65625q-0.46875 -0.59375 -1.328125 -0.59375q-0.84375 0 -1.3125 0.578125q-0.453125 0.578125 -0.453125 1.640625q0 1.0625 0.453125 1.65625q0.46875 0.578125 1.3125 0.578125zm7.20282 -5.265625q1.03125 0 1.546875 0.578125q0.53125 0.578125 0.53125 1.734375l0 3.25q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -3.21875q0 -0.78125 -0.328125 -1.15625q-0.3125 -0.375 -1.0 -0.375q-0.8125 0 -1.296875 0.5q-0.46875 0.484375 -0.46875 1.328125l0 2.921875q0 0.234375 -0.125 0.359375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -7.625q0 -0.203125 0.125 -0.328125q0.140625 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.125q0.125 0.125 0.125 0.34375l0 3.140625q0.28125 -0.53125 0.796875 -0.796875q0.515625 -0.28125 1.1875 -0.28125zm4.331665 6.046875q-0.28125 0 -0.484375 -0.1875q-0.1875 -0.1875 -0.1875 -0.484375q0 -0.296875 0.1875 -0.484375q0.203125 -0.203125 0.484375 -0.203125q0.28125 0 0.46875 0.203125q0.1875 0.1875 0.1875 0.484375q0 0.296875 -0.1875 0.484375q-0.1875 0.1875 -0.46875 0.1875zm5.2167664 -6.046875q0.765625 0 1.34375 0.390625q0.59375 0.375 0.921875 1.0625q0.328125 0.6875 0.328125 1.609375q0 0.90625 -0.328125 1.59375q-0.328125 0.671875 -0.90625 1.046875q-0.578125 0.359375 -1.359375 0.359375q-0.6875 0 -1.203125 -0.296875q-0.5 -0.296875 -0.765625 -0.84375l0 2.8125q0 0.21875 -0.125 0.34375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.140625q-0.125 -0.125 -0.125 -0.328125l0 -7.234375q0 -0.21875 0.125 -0.34375q0.125 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.140625q0.125 0.125 0.125 0.34375l0 0.640625q0.265625 -0.546875 0.765625 -0.84375q0.515625 -0.296875 1.203125 -0.296875zm-0.203125 5.265625q0.859375 0 1.328125 -0.578125q0.46875 -0.578125 0.46875 -1.625q0 -1.0625 -0.46875 -1.65625q-0.46875 -0.59375 -1.328125 -0.59375q-0.84375 0 -1.3125 0.578125q-0.453125 0.578125 -0.453125 1.640625q0 1.0625 0.453125 1.65625q0.46875 0.578125 1.3125 0.578125zm8.45282 -4.9375q0.140625 -0.296875 0.421875 -0.296875q0.1875 0 0.328125 0.125q0.140625 0.109375 0.140625 0.296875q0 0.109375 -0.046875 0.1875l-3.375 7.28125q-0.0625 0.125 -0.171875 0.1875q-0.109375 0.078125 -0.234375 0.078125q-0.1875 0 -0.328125 -0.109375q-0.125 -0.109375 -0.125 -0.296875q0 -0.09375 0.046875 -0.1875l0.84375 -1.8125l-2.375 -5.140625q-0.046875 -0.078125 -0.046875 -0.171875q0 -0.1875 0.15625 -0.3125q0.15625 -0.140625 0.359375 -0.140625q0.109375 0 0.21875 0.078125q0.125 0.078125 0.1875 0.203125l2.0 4.5l2.0 -4.46875z" fill-rule="nonzero"/><path fill="#f4cccc" d="m132.49081 319.42978l87.49606 0l0 30.992126l-87.49606 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m132.49081 319.42978l87.49606 0l0 30.992126l-87.49606 0z" fill-rule="evenodd"/><path fill="#000000" d="m163.01448 339.50836q-0.234375 0 -0.375 -0.140625q-0.140625 -0.140625 -0.140625 -0.359375l0 -7.1875l-2.578125 0q-0.21875 0 -0.34375 -0.109375q-0.109375 -0.109375 -0.109375 -0.3125q0 -0.203125 0.109375 -0.296875q0.125 -0.109375 0.34375 -0.109375l6.15625 0q0.21875 0 0.328125 0.109375q0.125 0.09375 0.125 0.296875q0 0.203125 -0.125 0.3125q-0.109375 0.109375 -0.328125 0.109375l-2.578125 0l0 7.1875q0 0.21875 -0.140625 0.359375q-0.125 0.140625 -0.34375 0.140625zm8.160431 0.03125q-1.171875 0 -2.046875 -0.515625q-0.859375 -0.53125 -1.328125 -1.5q-0.46875 -0.984375 -0.46875 -2.296875q0 -1.34375 0.453125 -2.3125q0.46875 -0.984375 1.328125 -1.5q0.875 -0.53125 2.0625 -0.53125q1.1875 0 2.0625 0.53125q0.875 0.515625 1.328125 1.5q0.46875 0.96875 0.46875 2.296875q0 1.3125 -0.46875 2.296875q-0.46875 0.984375 -1.34375 1.515625q-0.859375 0.515625 -2.046875 0.515625zm0 -0.84375q1.34375 0 2.09375 -0.90625q0.75 -0.90625 0.75 -2.578125q0 -1.6875 -0.75 -2.578125q-0.734375 -0.90625 -2.09375 -0.90625q-1.34375 0 -2.09375 0.90625q-0.75 0.90625 -0.75 2.578125q0 1.671875 0.75 2.578125q0.75 0.90625 2.09375 0.90625zm9.214935 0.84375q-1.1875 0 -2.0625 -0.515625q-0.875 -0.53125 -1.359375 -1.5q-0.46875 -0.984375 -0.46875 -2.3125q0 -1.328125 0.46875 -2.296875q0.484375 -0.984375 1.359375 -1.5q0.875 -0.53125 2.0625 -0.53125q0.8125 0 1.515625 0.265625q0.71875 0.25 1.25 0.734375q0.1875 0.1875 0.1875 0.421875q0 0.171875 -0.09375 0.296875q-0.09375 0.125 -0.21875 0.125q-0.15625 0 -0.359375 -0.140625q-0.609375 -0.46875 -1.109375 -0.65625q-0.5 -0.203125 -1.140625 -0.203125q-1.390625 0 -2.140625 0.90625q-0.75 0.90625 -0.75 2.578125q0 1.671875 0.75 2.578125q0.75 0.90625 2.140625 0.90625q0.640625 0 1.140625 -0.1875q0.5 -0.1875 1.109375 -0.671875q0.203125 -0.125 0.359375 -0.125q0.125 0 0.21875 0.125q0.09375 0.109375 0.09375 0.296875q0 0.234375 -0.1875 0.40625q-0.53125 0.484375 -1.25 0.75q-0.703125 0.25 -1.515625 0.25zm8.077179 0q-1.171875 0 -2.046875 -0.515625q-0.859375 -0.53125 -1.328125 -1.5q-0.46875 -0.984375 -0.46875 -2.296875q0 -1.34375 0.453125 -2.3125q0.46875 -0.984375 1.328125 -1.5q0.875 -0.53125 2.0625 -0.53125q1.1875 0 2.0625 0.53125q0.875 0.515625 1.328125 1.5q0.46875 0.96875 0.46875 2.296875q0 1.3125 -0.46875 2.296875q-0.46875 0.984375 -1.34375 1.515625q-0.859375 0.515625 -2.046875 0.515625zm0 -0.84375q1.34375 0 2.09375 -0.90625q0.75 -0.90625 0.75 -2.578125q0 -1.6875 -0.75 -2.578125q-0.734375 -0.90625 -2.09375 -0.90625q-1.34375 0 -2.09375 0.90625q-0.75 0.90625 -0.75 2.578125q0 1.671875 0.75 2.578125q0.75 0.90625 2.09375 0.90625z" fill-rule="nonzero"/><path fill="#d9ead3" d="m284.12296 319.3983l87.49606 0l0 30.992126l-87.49606 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m284.12296 319.3983l87.49606 0l0 30.992126l-87.49606 0z" fill-rule="evenodd"/><path fill="#000000" d="m314.7006 332.47687q-0.234375 0 -0.375 -0.140625q-0.140625 -0.140625 -0.140625 -0.359375l0 -7.1875l-2.578125 0q-0.21875 0 -0.34375 -0.109375q-0.109375 -0.109375 -0.109375 -0.3125q0 -0.203125 0.109375 -0.296875q0.125 -0.109375 0.34375 -0.109375l6.15625 0q0.21875 0 0.328125 0.109375q0.125 0.09375 0.125 0.296875q0 0.203125 -0.125 0.3125q-0.109375 0.109375 -0.328125 0.109375l-2.578125 0l0 7.1875q0 0.21875 -0.140625 0.359375q-0.125 0.140625 -0.34375 0.140625zm5.113556 0q-0.21875 0 -0.359375 -0.140625q-0.125 -0.140625 -0.125 -0.359375l0 -7.546875q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.375 -0.125l4.375 0q0.203125 0 0.328125 0.109375q0.125 0.09375 0.125 0.296875q0 0.203125 -0.125 0.3125q-0.125 0.109375 -0.328125 0.109375l-3.90625 0l0 2.90625l3.65625 0q0.21875 0 0.328125 0.109375q0.125 0.109375 0.125 0.3125q0 0.1875 -0.125 0.296875q-0.109375 0.109375 -0.328125 0.109375l-3.65625 0l0 3.453125q0 0.21875 -0.125 0.359375q-0.125 0.140625 -0.359375 0.140625zm6.6840515 -0.0625q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.328125l0 -7.5625q0 -0.234375 0.125 -0.359375q0.140625 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.140625q0.140625 0.125 0.140625 0.359375l0 7.171875l3.875 0q0.21875 0 0.328125 0.109375q0.125 0.109375 0.125 0.3125q0 0.203125 -0.125 0.3125q-0.109375 0.109375 -0.328125 0.109375l-4.375 0zm6.3394165 0.0625q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.125 -0.359375q0.140625 -0.125 0.359375 -0.125q0.21875 0 0.34375 0.125q0.140625 0.125 0.140625 0.359375l0 5.0625q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125zm0 -7.28125q-0.296875 0 -0.484375 -0.171875q-0.171875 -0.171875 -0.171875 -0.453125q0 -0.25 0.171875 -0.421875q0.1875 -0.171875 0.484375 -0.171875q0.28125 0 0.453125 0.171875q0.1875 0.171875 0.1875 0.421875q0 0.28125 -0.1875 0.453125q-0.171875 0.171875 -0.453125 0.171875zm4.987152 6.515625q0.421875 0.03125 0.421875 0.375q0 0.203125 -0.15625 0.3125q-0.140625 0.09375 -0.4375 0.078125l-0.328125 -0.03125q-0.953125 -0.0625 -1.421875 -0.5625q-0.453125 -0.515625 -0.453125 -1.53125l0 -3.015625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -1.359375q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.34375l0 1.359375l1.328125 0q0.1875 0 0.296875 0.109375q0.125 0.109375 0.125 0.28125q0 0.171875 -0.125 0.28125q-0.109375 0.09375 -0.296875 0.09375l-1.328125 0l0 3.0625q0 0.65625 0.265625 0.953125q0.265625 0.296875 0.8125 0.328125l0.3125 0.03125zm5.9081726 -0.65625q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375z" fill-rule="nonzero"/><path fill="#000000" d="m303.37402 346.47687q-0.21875 0 -0.359375 -0.140625q-0.125 -0.140625 -0.125 -0.359375l0 -7.546875q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.375 -0.125l4.375 0q0.203125 0 0.328125 0.109375q0.125 0.09375 0.125 0.296875q0 0.203125 -0.125 0.3125q-0.125 0.109375 -0.328125 0.109375l-3.90625 0l0 2.90625l3.65625 0q0.21875 0 0.328125 0.109375q0.125 0.109375 0.125 0.3125q0 0.1875 -0.125 0.296875q-0.109375 0.109375 -0.328125 0.109375l-3.65625 0l0 3.453125q0 0.21875 -0.125 0.359375q-0.125 0.140625 -0.359375 0.140625zm6.5434265 0q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -7.625q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.359375 -0.125q0.203125 0 0.34375 0.125q0.140625 0.125 0.140625 0.34375l0 7.625q0 0.234375 -0.140625 0.359375q-0.140625 0.125 -0.34375 0.125zm4.674652 -6.046875q2.203125 0 2.203125 2.296875l0 3.265625q0 0.21875 -0.125 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -0.578125q-0.21875 0.515625 -0.6875 0.796875q-0.46875 0.28125 -1.078125 0.28125q-0.5625 0 -1.046875 -0.21875q-0.46875 -0.234375 -0.75 -0.640625q-0.265625 -0.40625 -0.265625 -0.90625q0 -0.65625 0.328125 -1.015625q0.34375 -0.375 1.109375 -0.53125q0.765625 -0.15625 2.125 -0.15625l0.265625 0l0 -0.40625q0 -0.71875 -0.296875 -1.046875q-0.28125 -0.34375 -0.953125 -0.34375q-0.8125 0 -1.65625 0.453125q-0.3125 0.203125 -0.453125 0.203125q-0.140625 0 -0.234375 -0.109375q-0.09375 -0.109375 -0.09375 -0.28125q0 -0.171875 0.09375 -0.296875q0.109375 -0.125 0.328125 -0.25q0.421875 -0.25 0.953125 -0.375q0.546875 -0.140625 1.0625 -0.140625zm-0.390625 5.296875q0.71875 0 1.171875 -0.484375q0.46875 -0.484375 0.46875 -1.25l0 -0.34375l-0.21875 0q-1.046875 0 -1.609375 0.09375q-0.546875 0.078125 -0.78125 0.296875q-0.234375 0.203125 -0.234375 0.609375q0 0.46875 0.34375 0.78125q0.34375 0.296875 0.859375 0.296875zm7.0631714 -0.015625q0.421875 0.03125 0.421875 0.375q0 0.203125 -0.15625 0.3125q-0.140625 0.09375 -0.4375 0.078125l-0.328125 -0.03125q-0.953125 -0.0625 -1.421875 -0.5625q-0.453125 -0.515625 -0.453125 -1.53125l0 -3.015625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -1.359375q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.34375l0 1.359375l1.328125 0q0.1875 0 0.296875 0.109375q0.125 0.109375 0.125 0.28125q0 0.171875 -0.125 0.28125q-0.109375 0.09375 -0.296875 0.09375l-1.328125 0l0 3.0625q0 0.65625 0.265625 0.953125q0.265625 0.296875 0.8125 0.328125l0.3125 0.03125zm4.3300476 -5.28125q0.765625 0 1.34375 0.375q0.59375 0.359375 0.921875 1.046875q0.328125 0.6875 0.328125 1.59375q0 0.90625 -0.328125 1.59375q-0.328125 0.6875 -0.921875 1.078125q-0.578125 0.375 -1.34375 0.375q-0.6875 0 -1.203125 -0.296875q-0.5 -0.296875 -0.765625 -0.84375l0 0.640625q0 0.21875 -0.125 0.359375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -7.625q0 -0.203125 0.125 -0.328125q0.125 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.125q0.125 0.125 0.125 0.34375l0 3.203125q0.265625 -0.546875 0.765625 -0.84375q0.515625 -0.296875 1.203125 -0.296875zm-0.203125 5.265625q0.859375 0 1.328125 -0.59375q0.46875 -0.59375 0.46875 -1.65625q0 -1.046875 -0.46875 -1.625q-0.46875 -0.578125 -1.328125 -0.578125q-0.84375 0 -1.3125 0.578125q-0.453125 0.578125 -0.453125 1.640625q0 1.0625 0.453125 1.65625q0.46875 0.578125 1.3125 0.578125zm8.687164 -5.25q0.21875 0 0.34375 0.140625q0.125 0.125 0.125 0.34375l0 5.078125q0 0.203125 -0.125 0.34375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.34375 -0.125q-0.125 -0.125 -0.125 -0.328125l0 -0.609375q-0.28125 0.53125 -0.78125 0.8125q-0.5 0.265625 -1.125 0.265625q-1.03125 0 -1.5625 -0.578125q-0.53125 -0.578125 -0.53125 -1.71875l0 -3.265625q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625q0.21875 0 0.34375 0.140625q0.125 0.125 0.125 0.34375l0 3.234375q0 0.78125 0.3125 1.15625q0.3125 0.359375 0.984375 0.359375q0.765625 0 1.234375 -0.5q0.46875 -0.5 0.46875 -1.3125l0 -2.9375q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625zm4.8726807 -1.71875q-0.640625 0.046875 -0.96875 0.40625q-0.3125 0.34375 -0.3125 1.046875l0 0.390625l1.328125 0q0.203125 0 0.3125 0.109375q0.109375 0.109375 0.109375 0.28125q0 0.1875 -0.109375 0.28125q-0.109375 0.09375 -0.3125 0.09375l-1.328125 0l0 4.65625q0 0.234375 -0.140625 0.359375q-0.140625 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.140625 -0.125 -0.140625 -0.359375l0 -4.65625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -0.21875q0 -1.078125 0.53125 -1.6875q0.546875 -0.625 1.5625 -0.703125l0.3125 -0.015625q0.3125 -0.03125 0.453125 0.0625q0.140625 0.078125 0.140625 0.296875q0 0.34375 -0.421875 0.390625l-0.3125 0.03125zm3.9360352 0q-0.640625 0.046875 -0.96875 0.40625q-0.3125 0.34375 -0.3125 1.046875l0 0.390625l1.328125 0q0.203125 0 0.3125 0.109375q0.109375 0.109375 0.109375 0.28125q0 0.1875 -0.109375 0.28125q-0.109375 0.09375 -0.3125 0.09375l-1.328125 0l0 4.65625q0 0.234375 -0.140625 0.359375q-0.140625 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.140625 -0.125 -0.140625 -0.359375l0 -4.65625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -0.21875q0 -1.078125 0.53125 -1.6875q0.546875 -0.625 1.5625 -0.703125l0.3125 -0.015625q0.3125 -0.03125 0.453125 0.0625q0.140625 0.078125 0.140625 0.296875q0 0.34375 -0.421875 0.390625l-0.3125 0.03125zm5.873535 6.328125q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375zm6.7927856 -0.734375q0.5 -0.03125 0.5 0.40625q0 0.203125 -0.109375 0.3125q-0.109375 0.109375 -0.375 0.140625l-0.359375 0.03125q-0.796875 0.078125 -1.1875 0.578125q-0.390625 0.484375 -0.390625 1.15625l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.140625 -0.359375q0.140625 -0.125 0.34375 -0.125q0.1875 0 0.3125 0.125q0.140625 0.125 0.140625 0.34375l0 0.671875q0.25 -0.53125 0.71875 -0.796875q0.46875 -0.28125 1.0625 -0.328125l0.171875 -0.015625z" fill-rule="nonzero"/><path fill="#f4cccc" d="m413.02625 319.3983l87.49606 0l0 30.992126l-87.49606 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m413.02625 319.3983l87.49606 0l0 30.992126l-87.49606 0z" fill-rule="evenodd"/><path fill="#000000" d="m443.6039 332.47687q-0.234375 0 -0.375 -0.140625q-0.140625 -0.140625 -0.140625 -0.359375l0 -7.1875l-2.578125 0q-0.21875 0 -0.34375 -0.109375q-0.109375 -0.109375 -0.109375 -0.3125q0 -0.203125 0.109375 -0.296875q0.125 -0.109375 0.34375 -0.109375l6.15625 0q0.21875 0 0.328125 0.109375q0.125 0.09375 0.125 0.296875q0 0.203125 -0.125 0.3125q-0.109375 0.109375 -0.328125 0.109375l-2.578125 0l0 7.1875q0 0.21875 -0.140625 0.359375q-0.125 0.140625 -0.34375 0.140625zm5.113556 0q-0.21875 0 -0.359375 -0.140625q-0.125 -0.140625 -0.125 -0.359375l0 -7.546875q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.375 -0.125l4.375 0q0.203125 0 0.328125 0.109375q0.125 0.09375 0.125 0.296875q0 0.203125 -0.125 0.3125q-0.125 0.109375 -0.328125 0.109375l-3.90625 0l0 2.90625l3.65625 0q0.21875 0 0.328125 0.109375q0.125 0.109375 0.125 0.3125q0 0.1875 -0.125 0.296875q-0.109375 0.109375 -0.328125 0.109375l-3.65625 0l0 3.453125q0 0.21875 -0.125 0.359375q-0.125 0.140625 -0.359375 0.140625zm6.6840515 -0.0625q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.328125l0 -7.5625q0 -0.234375 0.125 -0.359375q0.140625 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.140625q0.140625 0.125 0.140625 0.359375l0 7.171875l3.875 0q0.21875 0 0.328125 0.109375q0.125 0.109375 0.125 0.3125q0 0.203125 -0.125 0.3125q-0.109375 0.109375 -0.328125 0.109375l-4.375 0zm6.3394165 0.0625q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.125 -0.359375q0.140625 -0.125 0.359375 -0.125q0.21875 0 0.34375 0.125q0.140625 0.125 0.140625 0.359375l0 5.0625q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125zm0 -7.28125q-0.296875 0 -0.484375 -0.171875q-0.171875 -0.171875 -0.171875 -0.453125q0 -0.25 0.171875 -0.421875q0.1875 -0.171875 0.484375 -0.171875q0.28125 0 0.453125 0.171875q0.1875 0.171875 0.1875 0.421875q0 0.28125 -0.1875 0.453125q-0.171875 0.171875 -0.453125 0.171875zm4.987152 6.515625q0.421875 0.03125 0.421875 0.375q0 0.203125 -0.15625 0.3125q-0.140625 0.09375 -0.4375 0.078125l-0.328125 -0.03125q-0.953125 -0.0625 -1.421875 -0.5625q-0.453125 -0.515625 -0.453125 -1.53125l0 -3.015625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -1.359375q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.34375l0 1.359375l1.328125 0q0.1875 0 0.296875 0.109375q0.125 0.109375 0.125 0.28125q0 0.171875 -0.125 0.28125q-0.109375 0.09375 -0.296875 0.09375l-1.328125 0l0 3.0625q0 0.65625 0.265625 0.953125q0.265625 0.296875 0.8125 0.328125l0.3125 0.03125zm5.908142 -0.65625q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375z" fill-rule="nonzero"/><path fill="#000000" d="m429.9527 346.47687q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.125 -0.359375q0.140625 -0.125 0.359375 -0.125q0.21875 0 0.34375 0.125q0.140625 0.125 0.140625 0.359375l0 5.0625q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125zm0 -7.28125q-0.296875 0 -0.484375 -0.171875q-0.171875 -0.171875 -0.171875 -0.453125q0 -0.25 0.171875 -0.421875q0.1875 -0.171875 0.484375 -0.171875q0.28125 0 0.453125 0.171875q0.1875 0.171875 0.1875 0.421875q0 0.28125 -0.1875 0.453125q-0.171875 0.171875 -0.453125 0.171875zm5.237152 1.234375q2.09375 0 2.09375 2.3125l0 3.25q0 0.234375 -0.125 0.359375q-0.125 0.125 -0.359375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -3.1875q0 -0.8125 -0.328125 -1.1875q-0.3125 -0.375 -1.0 -0.375q-0.8125 0 -1.296875 0.5q-0.46875 0.484375 -0.46875 1.328125l0 2.921875q0 0.234375 -0.125 0.359375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.21875 0.125 -0.34375q0.125 -0.140625 0.359375 -0.140625q0.21875 0 0.34375 0.140625q0.125 0.125 0.125 0.328125l0 0.609375q0.28125 -0.53125 0.796875 -0.8125q0.53125 -0.28125 1.1875 -0.28125zm6.56604 5.28125q0.421875 0.03125 0.421875 0.375q0 0.203125 -0.15625 0.3125q-0.140625 0.09375 -0.4375 0.078125l-0.328125 -0.03125q-0.953125 -0.0625 -1.421875 -0.5625q-0.453125 -0.515625 -0.453125 -1.53125l0 -3.015625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -1.359375q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.34375l0 1.359375l1.328125 0q0.1875 0 0.296875 0.109375q0.125 0.109375 0.125 0.28125q0 0.171875 -0.125 0.28125q-0.109375 0.09375 -0.296875 0.09375l-1.328125 0l0 3.0625q0 0.65625 0.265625 0.953125q0.265625 0.296875 0.8125 0.328125l0.3125 0.03125zm5.9081726 -0.65625q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375zm6.7927856 -0.734375q0.5 -0.03125 0.5 0.40625q0 0.203125 -0.109375 0.3125q-0.109375 0.109375 -0.375 0.140625l-0.359375 0.03125q-0.796875 0.078125 -1.1875 0.578125q-0.390625 0.484375 -0.390625 1.15625l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.140625 -0.359375q0.140625 -0.125 0.34375 -0.125q0.1875 0 0.3125 0.125q0.140625 0.125 0.140625 0.34375l0 0.671875q0.25 -0.53125 0.71875 -0.796875q0.46875 -0.28125 1.0625 -0.328125l0.171875 -0.015625zm4.282898 -0.015625q0.765625 0 1.34375 0.390625q0.59375 0.375 0.921875 1.0625q0.328125 0.6875 0.328125 1.609375q0 0.90625 -0.328125 1.59375q-0.328125 0.671875 -0.90625 1.046875q-0.578125 0.359375 -1.359375 0.359375q-0.6875 0 -1.203125 -0.296875q-0.5 -0.296875 -0.765625 -0.84375l0 2.8125q0 0.21875 -0.125 0.34375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.140625q-0.125 -0.125 -0.125 -0.328125l0 -7.234375q0 -0.21875 0.125 -0.34375q0.125 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.140625q0.125 0.125 0.125 0.34375l0 0.640625q0.265625 -0.546875 0.765625 -0.84375q0.515625 -0.296875 1.203125 -0.296875zm-0.203125 5.265625q0.859375 0 1.328125 -0.578125q0.46875 -0.578125 0.46875 -1.625q0 -1.0625 -0.46875 -1.65625q-0.46875 -0.59375 -1.328125 -0.59375q-0.84375 0 -1.3125 0.578125q-0.453125 0.578125 -0.453125 1.640625q0 1.0625 0.453125 1.65625q0.46875 0.578125 1.3125 0.578125zm7.14032 -5.25q0.5 -0.03125 0.5 0.40625q0 0.203125 -0.109375 0.3125q-0.109375 0.109375 -0.375 0.140625l-0.359375 0.03125q-0.796875 0.078125 -1.1875 0.578125q-0.390625 0.484375 -0.390625 1.15625l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.140625 -0.359375q0.140625 -0.125 0.34375 -0.125q0.1875 0 0.3125 0.125q0.140625 0.125 0.140625 0.34375l0 0.671875q0.25 -0.53125 0.71875 -0.796875q0.46875 -0.28125 1.0625 -0.328125l0.171875 -0.015625zm5.861023 4.609375q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375zm6.5896606 4.53125q0.421875 0.03125 0.421875 0.375q0 0.203125 -0.15625 0.3125q-0.140625 0.09375 -0.4375 0.078125l-0.328125 -0.03125q-0.953125 -0.0625 -1.421875 -0.5625q-0.453125 -0.515625 -0.453125 -1.53125l0 -3.015625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -1.359375q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.34375l0 1.359375l1.328125 0q0.1875 0 0.296875 0.109375q0.125 0.109375 0.125 0.28125q0 0.171875 -0.125 0.28125q-0.109375 0.09375 -0.296875 0.09375l-1.328125 0l0 3.0625q0 0.65625 0.265625 0.953125q0.265625 0.296875 0.8125 0.328125l0.3125 0.03125zm5.9081726 -0.65625q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375zm6.7927856 -0.734375q0.5 -0.03125 0.5 0.40625q0 0.203125 -0.109375 0.3125q-0.109375 0.109375 -0.375 0.140625l-0.359375 0.03125q-0.796875 0.078125 -1.1875 0.578125q-0.390625 0.484375 -0.390625 1.15625l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.140625 -0.359375q0.140625 -0.125 0.34375 -0.125q0.1875 0 0.3125 0.125q0.140625 0.125 0.140625 0.34375l0 0.671875q0.25 -0.53125 0.71875 -0.796875q0.46875 -0.28125 1.0625 -0.328125l0.171875 -0.015625z" fill-rule="nonzero"/><path fill="#000000" fill-opacity="0.0" d="m371.61902 334.89435l41.417297 0" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m371.61902 334.89435l37.990234 0" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m409.60925 334.89435l-1.1245728 1.1246033l3.0897522 -1.1246033l-3.0897522 -1.1245728z" fill-rule="evenodd"/><path fill="#c9daf8" d="m548.5407 277.52954l87.49603 0l0 30.992126l-87.49603 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m548.5407 277.52954l87.49603 0l0 30.992126l-87.49603 0z" fill-rule="evenodd"/><path fill="#000000" d="m587.0588 293.13934q0.1875 0 0.296875 0.109375q0.109375 0.109375 0.109375 0.296875l0 2.984375q0 0.296875 -0.09375 0.4375q-0.078125 0.140625 -0.328125 0.234375q-0.46875 0.203125 -1.15625 0.328125q-0.6875 0.109375 -1.375 0.109375q-1.25 0 -2.171875 -0.515625q-0.90625 -0.515625 -1.390625 -1.484375q-0.484375 -0.96875 -0.484375 -2.328125q0 -1.328125 0.46875 -2.296875q0.484375 -0.984375 1.375 -1.5q0.90625 -0.53125 2.125 -0.53125q0.84375 0 1.5625 0.265625q0.71875 0.25 1.203125 0.734375q0.21875 0.203125 0.21875 0.421875q0 0.171875 -0.109375 0.296875q-0.09375 0.125 -0.234375 0.125q-0.140625 0 -0.328125 -0.140625q-0.625 -0.484375 -1.140625 -0.671875q-0.5 -0.1875 -1.15625 -0.1875q-1.4375 0 -2.203125 0.90625q-0.75 0.890625 -0.75 2.578125q0 1.71875 0.765625 2.609375q0.78125 0.890625 2.28125 0.890625q1.109375 0 2.03125 -0.328125l0 -2.578125l-1.75 0q-0.203125 0 -0.328125 -0.109375q-0.125 -0.109375 -0.125 -0.265625q0 -0.1875 0.125 -0.28125q0.125 -0.109375 0.328125 -0.109375l2.234375 0zm2.8911743 4.46875q-0.21875 0 -0.359375 -0.140625q-0.125 -0.140625 -0.125 -0.359375l0 -7.546875q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.375 -0.125l2.84375 0q1.328125 0 2.0625 0.65625q0.75 0.640625 0.75 1.828125q0 1.1875 -0.75 1.84375q-0.734375 0.65625 -2.0625 0.65625l-2.359375 0l0 3.03125q0 0.21875 -0.140625 0.359375q-0.125 0.140625 -0.359375 0.140625zm2.765625 -4.34375q1.9375 0 1.9375 -1.6875q0 -1.671875 -1.9375 -1.671875l-2.265625 0l0 3.359375l2.265625 0zm7.7869263 4.375q-1.65625 0 -2.515625 -0.859375q-0.84375 -0.859375 -0.84375 -2.546875l0 -4.703125q0 -0.234375 0.125 -0.359375q0.140625 -0.140625 0.359375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.359375l0 4.78125q0 1.25 0.609375 1.875q0.609375 0.609375 1.78125 0.609375q1.171875 0 1.765625 -0.609375q0.609375 -0.625 0.609375 -1.875l0 -4.78125q0 -0.234375 0.140625 -0.359375q0.140625 -0.140625 0.359375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.359375l0 4.703125q0 1.671875 -0.859375 2.546875q-0.859375 0.859375 -2.5 0.859375z" fill-rule="nonzero"/><path fill="#c9daf8" d="m548.5407 319.3983l87.49603 0l0 30.992126l-87.49603 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m548.5407 319.3983l87.49603 0l0 30.992126l-87.49603 0z" fill-rule="evenodd"/><path fill="#000000" d="m584.63763 339.50812q-1.1875 0 -2.0625 -0.515625q-0.875 -0.53125 -1.359375 -1.5q-0.46875 -0.984375 -0.46875 -2.3125q0 -1.328125 0.46875 -2.296875q0.484375 -0.984375 1.359375 -1.5q0.875 -0.53125 2.0625 -0.53125q0.8125 0 1.515625 0.265625q0.71875 0.25 1.25 0.734375q0.1875 0.1875 0.1875 0.421875q0 0.171875 -0.09375 0.296875q-0.09375 0.125 -0.21875 0.125q-0.15625 0 -0.359375 -0.140625q-0.609375 -0.46875 -1.109375 -0.65625q-0.5 -0.203125 -1.140625 -0.203125q-1.390625 0 -2.140625 0.90625q-0.75 0.90625 -0.75 2.578125q0 1.671875 0.75 2.578125q0.75 0.90625 2.140625 0.90625q0.640625 0 1.140625 -0.1875q0.5 -0.1875 1.109375 -0.671875q0.203125 -0.125 0.359375 -0.125q0.125 0 0.21875 0.125q0.09375 0.109375 0.09375 0.296875q0 0.234375 -0.1875 0.40625q-0.53125 0.484375 -1.25 0.75q-0.703125 0.25 -1.515625 0.25zm5.0302734 -0.03125q-0.21875 0 -0.359375 -0.140625q-0.125 -0.140625 -0.125 -0.359375l0 -7.546875q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.375 -0.125l2.84375 0q1.328125 0 2.0625 0.65625q0.75 0.640625 0.75 1.828125q0 1.1875 -0.75 1.84375q-0.734375 0.65625 -2.0625 0.65625l-2.359375 0l0 3.03125q0 0.21875 -0.140625 0.359375q-0.125 0.140625 -0.359375 0.140625zm2.765625 -4.34375q1.9375 0 1.9375 -1.6875q0 -1.671875 -1.9375 -1.671875l-2.265625 0l0 3.359375l2.265625 0zm7.7869263 4.375q-1.65625 0 -2.515625 -0.859375q-0.84375 -0.859375 -0.84375 -2.546875l0 -4.703125q0 -0.234375 0.125 -0.359375q0.140625 -0.140625 0.359375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.359375l0 4.78125q0 1.25 0.609375 1.875q0.609375 0.609375 1.78125 0.609375q1.171875 0 1.765625 -0.609375q0.609375 -0.625 0.609375 -1.875l0 -4.78125q0 -0.234375 0.140625 -0.359375q0.140625 -0.140625 0.359375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.359375l0 4.703125q0 1.671875 -0.859375 2.546875q-0.859375 0.859375 -2.5 0.859375z" fill-rule="nonzero"/><path fill="#000000" fill-opacity="0.0" d="m219.98688 334.92584l64.12598 -0.03149414" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m219.98688 334.92584l60.698914 -0.029815674" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m280.68576 334.89603l-1.1240234 1.1251526l3.0892334 -1.1260986l-3.090332 -1.1230774z" fill-rule="evenodd"/><path fill="#d9ead3" d="m413.02625 141.28871l20.53543 0l0 20.53543l-20.53543 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m413.02625 141.28871l20.53543 0l0 20.53543l-20.53543 0z" fill-rule="evenodd"/><path fill="#000000" fill-opacity="0.0" d="m437.52493 135.68242l73.763794 0l0 31.748032l-73.763794 0z" fill-rule="evenodd"/><path fill="#000000" d="m448.0718 156.20241q-0.234375 0 -0.375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -7.5q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.375 -0.125l2.34375 0q2.03125 0 3.140625 1.09375q1.109375 1.09375 1.109375 3.125q0 2.03125 -1.125 3.140625q-1.109375 1.09375 -3.125 1.09375l-2.34375 0zm2.28125 -0.84375q3.28125 0 3.28125 -3.390625q0 -3.390625 -3.28125 -3.390625l-1.796875 0l0 6.78125l1.796875 0zm8.3211975 -5.140625q2.203125 0 2.203125 2.296875l0 3.265625q0 0.21875 -0.125 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -0.578125q-0.21875 0.515625 -0.6875 0.796875q-0.46875 0.28125 -1.078125 0.28125q-0.5625 0 -1.046875 -0.21875q-0.46875 -0.234375 -0.75 -0.640625q-0.265625 -0.40625 -0.265625 -0.90625q0 -0.65625 0.328125 -1.015625q0.34375 -0.375 1.109375 -0.53125q0.765625 -0.15625 2.125 -0.15625l0.265625 0l0 -0.40625q0 -0.71875 -0.296875 -1.046875q-0.28125 -0.34375 -0.953125 -0.34375q-0.8125 0 -1.65625 0.453125q-0.3125 0.203125 -0.453125 0.203125q-0.140625 0 -0.234375 -0.109375q-0.09375 -0.109375 -0.09375 -0.28125q0 -0.171875 0.09375 -0.296875q0.109375 -0.125 0.328125 -0.25q0.421875 -0.25 0.953125 -0.375q0.546875 -0.140625 1.0625 -0.140625zm-0.390625 5.296875q0.71875 0 1.171875 -0.484375q0.46875 -0.484375 0.46875 -1.25l0 -0.34375l-0.21875 0q-1.046875 0 -1.609375 0.09375q-0.546875 0.078125 -0.78125 0.296875q-0.234375 0.203125 -0.234375 0.609375q0 0.46875 0.34375 0.78125q0.34375 0.296875 0.859375 0.296875zm7.0631714 -0.015625q0.421875 0.03125 0.421875 0.375q0 0.203125 -0.15625 0.3125q-0.140625 0.09375 -0.4375 0.078125l-0.328125 -0.03125q-0.953125 -0.0625 -1.421875 -0.5625q-0.453125 -0.515625 -0.453125 -1.53125l0 -3.015625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -1.359375q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.34375l0 1.359375l1.328125 0q0.1875 0 0.296875 0.109375q0.125 0.109375 0.125 0.28125q0 0.171875 -0.125 0.28125q-0.109375 0.09375 -0.296875 0.09375l-1.328125 0l0 3.0625q0 0.65625 0.265625 0.953125q0.265625 0.296875 0.8125 0.328125l0.3125 0.03125zm3.767517 -5.28125q2.203125 0 2.203125 2.296875l0 3.265625q0 0.21875 -0.125 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -0.578125q-0.21875 0.515625 -0.6875 0.796875q-0.46875 0.28125 -1.078125 0.28125q-0.5625 0 -1.046875 -0.21875q-0.46875 -0.234375 -0.75 -0.640625q-0.265625 -0.40625 -0.265625 -0.90625q0 -0.65625 0.328125 -1.015625q0.34375 -0.375 1.109375 -0.53125q0.765625 -0.15625 2.125 -0.15625l0.265625 0l0 -0.40625q0 -0.71875 -0.296875 -1.046875q-0.28125 -0.34375 -0.953125 -0.34375q-0.8125 0 -1.65625 0.453125q-0.3125 0.203125 -0.453125 0.203125q-0.140625 0 -0.234375 -0.109375q-0.09375 -0.109375 -0.09375 -0.28125q0 -0.171875 0.09375 -0.296875q0.109375 -0.125 0.328125 -0.25q0.421875 -0.25 0.953125 -0.375q0.546875 -0.140625 1.0625 -0.140625zm-0.390625 5.296875q0.71875 0 1.171875 -0.484375q0.46875 -0.484375 0.46875 -1.25l0 -0.34375l-0.21875 0q-1.046875 0 -1.609375 0.09375q-0.546875 0.078125 -0.78125 0.296875q-0.234375 0.203125 -0.234375 0.609375q0 0.46875 0.34375 0.78125q0.34375 0.296875 0.859375 0.296875zm10.15921 0.75q-0.234375 0 -0.375 -0.140625q-0.140625 -0.140625 -0.140625 -0.359375l0 -7.1875l-2.578125 0q-0.21875 0 -0.34375 -0.109375q-0.109375 -0.109375 -0.109375 -0.3125q0 -0.203125 0.109375 -0.296875q0.125 -0.109375 0.34375 -0.109375l6.15625 0q0.21875 0 0.328125 0.109375q0.125 0.09375 0.125 0.296875q0 0.203125 -0.125 0.3125q-0.109375 0.109375 -0.328125 0.109375l-2.578125 0l0 7.1875q0 0.21875 -0.140625 0.359375q-0.125 0.140625 -0.34375 0.140625zm8.691681 -5.71875q0.140625 -0.296875 0.421875 -0.296875q0.1875 0 0.328125 0.125q0.140625 0.109375 0.140625 0.296875q0 0.109375 -0.046875 0.1875l-3.375 7.28125q-0.0625 0.125 -0.171875 0.1875q-0.109375 0.078125 -0.234375 0.078125q-0.1875 0 -0.328125 -0.109375q-0.125 -0.109375 -0.125 -0.296875q0 -0.09375 0.046875 -0.1875l0.84375 -1.8125l-2.375 -5.140625q-0.046875 -0.078125 -0.046875 -0.171875q0 -0.1875 0.15625 -0.3125q0.15625 -0.140625 0.359375 -0.140625q0.109375 0 0.21875 0.078125q0.125 0.078125 0.1875 0.203125l2.0 4.5l2.0 -4.46875zm4.902405 -0.328125q0.765625 0 1.34375 0.390625q0.59375 0.375 0.921875 1.0625q0.328125 0.6875 0.328125 1.609375q0 0.90625 -0.328125 1.59375q-0.328125 0.671875 -0.90625 1.046875q-0.578125 0.359375 -1.359375 0.359375q-0.6875 0 -1.203125 -0.296875q-0.5 -0.296875 -0.765625 -0.84375l0 2.8125q0 0.21875 -0.125 0.34375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.140625q-0.125 -0.125 -0.125 -0.328125l0 -7.234375q0 -0.21875 0.125 -0.34375q0.125 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.140625q0.125 0.125 0.125 0.34375l0 0.640625q0.265625 -0.546875 0.765625 -0.84375q0.515625 -0.296875 1.203125 -0.296875zm-0.203125 5.265625q0.859375 0 1.328125 -0.578125q0.46875 -0.578125 0.46875 -1.625q0 -1.0625 -0.46875 -1.65625q-0.46875 -0.59375 -1.328125 -0.59375q-0.84375 0 -1.3125 0.578125q-0.453125 0.578125 -0.453125 1.640625q0 1.0625 0.453125 1.65625q0.46875 0.578125 1.3125 0.578125zm8.76532 -0.640625q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375z" fill-rule="nonzero"/><path fill="#f4cccc" d="m519.9029 141.28871l20.5354 0l0 20.53543l-20.5354 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m519.9029 141.28871l20.5354 0l0 20.53543l-20.5354 0z" fill-rule="evenodd"/><path fill="#000000" fill-opacity="0.0" d="m544.40155 135.68242l100.0 0l0 31.748032l-100.0 0z" fill-rule="evenodd"/><path fill="#000000" d="m554.9328 156.26491q-0.21875 0 -0.359375 -0.140625q-0.125 -0.140625 -0.125 -0.359375l0 -7.578125q0 -0.234375 0.125 -0.359375q0.140625 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.140625q0.140625 0.125 0.140625 0.359375l0 7.578125q0 0.21875 -0.140625 0.359375q-0.125 0.140625 -0.359375 0.140625zm5.3845215 -6.046875q2.09375 0 2.09375 2.3125l0 3.25q0 0.234375 -0.125 0.359375q-0.125 0.125 -0.359375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -3.1875q0 -0.8125 -0.328125 -1.1875q-0.3125 -0.375 -1.0 -0.375q-0.8125 0 -1.296875 0.5q-0.46875 0.484375 -0.46875 1.328125l0 2.921875q0 0.234375 -0.125 0.359375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.21875 0.125 -0.34375q0.125 -0.140625 0.359375 -0.140625q0.21875 0 0.34375 0.140625q0.125 0.125 0.125 0.328125l0 0.609375q0.28125 -0.53125 0.796875 -0.8125q0.53125 -0.28125 1.1875 -0.28125zm6.456726 -1.703125q-0.640625 0.046875 -0.96875 0.40625q-0.3125 0.34375 -0.3125 1.046875l0 0.390625l1.328125 0q0.203125 0 0.3125 0.109375q0.109375 0.109375 0.109375 0.28125q0 0.1875 -0.109375 0.28125q-0.109375 0.09375 -0.3125 0.09375l-1.328125 0l0 4.65625q0 0.234375 -0.140625 0.359375q-0.140625 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.140625 -0.125 -0.140625 -0.359375l0 -4.65625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -0.21875q0 -1.078125 0.53125 -1.6875q0.546875 -0.625 1.5625 -0.703125l0.3125 -0.015625q0.3125 -0.03125 0.453125 0.0625q0.140625 0.078125 0.140625 0.296875q0 0.34375 -0.421875 0.390625l-0.3125 0.03125zm4.248535 1.71875q0.5 -0.03125 0.5 0.40625q0 0.203125 -0.109375 0.3125q-0.109375 0.109375 -0.375 0.140625l-0.359375 0.03125q-0.796875 0.078125 -1.1875 0.578125q-0.390625 0.484375 -0.390625 1.15625l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.140625 -0.359375q0.140625 -0.125 0.34375 -0.125q0.1875 0 0.3125 0.125q0.140625 0.125 0.140625 0.34375l0 0.671875q0.25 -0.53125 0.71875 -0.796875q0.46875 -0.28125 1.0625 -0.328125l0.171875 -0.015625zm3.720398 -0.015625q2.203125 0 2.203125 2.296875l0 3.265625q0 0.21875 -0.125 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -0.578125q-0.21875 0.515625 -0.6875 0.796875q-0.46875 0.28125 -1.078125 0.28125q-0.5625 0 -1.046875 -0.21875q-0.46875 -0.234375 -0.75 -0.640625q-0.265625 -0.40625 -0.265625 -0.90625q0 -0.65625 0.328125 -1.015625q0.34375 -0.375 1.109375 -0.53125q0.765625 -0.15625 2.125 -0.15625l0.265625 0l0 -0.40625q0 -0.71875 -0.296875 -1.046875q-0.28125 -0.34375 -0.953125 -0.34375q-0.8125 0 -1.65625 0.453125q-0.3125 0.203125 -0.453125 0.203125q-0.140625 0 -0.234375 -0.109375q-0.09375 -0.109375 -0.09375 -0.28125q0 -0.171875 0.09375 -0.296875q0.109375 -0.125 0.328125 -0.25q0.421875 -0.25 0.953125 -0.375q0.546875 -0.140625 1.0625 -0.140625zm-0.390625 5.296875q0.71875 0 1.171875 -0.484375q0.46875 -0.484375 0.46875 -1.25l0 -0.34375l-0.21875 0q-1.046875 0 -1.609375 0.09375q-0.546875 0.078125 -0.78125 0.296875q-0.234375 0.203125 -0.234375 0.609375q0 0.46875 0.34375 0.78125q0.34375 0.296875 0.859375 0.296875zm6.3444214 0.765625q-0.5625 0 -1.0625 -0.125q-0.5 -0.140625 -0.875 -0.375q-0.21875 -0.140625 -0.3125 -0.265625q-0.078125 -0.125 -0.078125 -0.3125q0 -0.15625 0.078125 -0.25q0.09375 -0.109375 0.234375 -0.109375q0.15625 0 0.421875 0.1875q0.359375 0.21875 0.71875 0.34375q0.359375 0.125 0.875 0.125q0.65625 0 1.015625 -0.21875q0.359375 -0.234375 0.359375 -0.671875q0 -0.265625 -0.140625 -0.421875q-0.125 -0.171875 -0.453125 -0.296875q-0.3125 -0.125 -0.9375 -0.25q-1.0625 -0.234375 -1.515625 -0.609375q-0.453125 -0.390625 -0.453125 -1.046875q0 -0.515625 0.28125 -0.90625q0.28125 -0.40625 0.796875 -0.625q0.515625 -0.234375 1.15625 -0.234375q0.46875 0 0.90625 0.125q0.4375 0.125 0.78125 0.34375q0.40625 0.296875 0.40625 0.609375q0 0.15625 -0.09375 0.265625q-0.09375 0.109375 -0.234375 0.109375q-0.140625 0 -0.4375 -0.203125q-0.328125 -0.21875 -0.625 -0.34375q-0.296875 -0.125 -0.75 -0.125q-0.5625 0 -0.90625 0.265625q-0.34375 0.25 -0.34375 0.671875q0 0.25 0.125 0.421875q0.125 0.15625 0.421875 0.28125q0.296875 0.125 0.84375 0.25q0.828125 0.1875 1.265625 0.40625q0.453125 0.203125 0.640625 0.515625q0.203125 0.3125 0.203125 0.796875q0 0.75 -0.640625 1.21875q-0.640625 0.453125 -1.671875 0.453125zm6.47876 -0.78125q0.421875 0.03125 0.421875 0.375q0 0.203125 -0.15625 0.3125q-0.140625 0.09375 -0.4375 0.078125l-0.328125 -0.03125q-0.953125 -0.0625 -1.421875 -0.5625q-0.453125 -0.515625 -0.453125 -1.53125l0 -3.015625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -1.359375q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.34375l0 1.359375l1.328125 0q0.1875 0 0.296875 0.109375q0.125 0.109375 0.125 0.28125q0 0.171875 -0.125 0.28125q-0.109375 0.09375 -0.296875 0.09375l-1.328125 0l0 3.0625q0 0.65625 0.265625 0.953125q0.265625 0.296875 0.8125 0.328125l0.3125 0.03125zm4.283142 -5.265625q0.5 -0.03125 0.5 0.40625q0 0.203125 -0.109375 0.3125q-0.109375 0.109375 -0.375 0.140625l-0.359375 0.03125q-0.796875 0.078125 -1.1875 0.578125q-0.390625 0.484375 -0.390625 1.15625l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.140625 -0.359375q0.140625 -0.125 0.34375 -0.125q0.1875 0 0.3125 0.125q0.140625 0.125 0.140625 0.34375l0 0.671875q0.25 -0.53125 0.71875 -0.796875q0.46875 -0.28125 1.0625 -0.328125l0.171875 -0.015625zm5.782898 0q0.21875 0 0.34375 0.140625q0.125 0.125 0.125 0.34375l0 5.078125q0 0.203125 -0.125 0.34375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.34375 -0.125q-0.125 -0.125 -0.125 -0.328125l0 -0.609375q-0.28125 0.53125 -0.78125 0.8125q-0.5 0.265625 -1.125 0.265625q-1.03125 0 -1.5625 -0.578125q-0.53125 -0.578125 -0.53125 -1.71875l0 -3.265625q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625q0.21875 0 0.34375 0.140625q0.125 0.125 0.125 0.34375l0 3.234375q0 0.78125 0.3125 1.15625q0.3125 0.359375 0.984375 0.359375q0.765625 0 1.234375 -0.5q0.46875 -0.5 0.46875 -1.3125l0 -2.9375q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625zm4.7008057 6.046875q-0.8125 0 -1.453125 -0.359375q-0.625 -0.375 -0.96875 -1.0625q-0.34375 -0.6875 -0.34375 -1.578125q0 -0.90625 0.359375 -1.59375q0.359375 -0.703125 0.984375 -1.078125q0.640625 -0.390625 1.46875 -0.390625q0.453125 0 0.90625 0.125q0.453125 0.125 0.78125 0.359375q0.21875 0.140625 0.3125 0.28125q0.09375 0.140625 0.09375 0.3125q0 0.171875 -0.09375 0.28125q-0.09375 0.09375 -0.234375 0.09375q-0.078125 0 -0.1875 -0.046875q-0.09375 -0.046875 -0.15625 -0.09375q-0.0625 -0.046875 -0.09375 -0.0625q-0.3125 -0.203125 -0.59375 -0.3125q-0.28125 -0.125 -0.6875 -0.125q-0.875 0 -1.359375 0.59375q-0.484375 0.59375 -0.484375 1.65625q0 1.046875 0.484375 1.625q0.484375 0.578125 1.359375 0.578125q0.40625 0 0.703125 -0.109375q0.296875 -0.125 0.59375 -0.328125q0.140625 -0.09375 0.25 -0.15625q0.125 -0.0625 0.203125 -0.0625q0.140625 0 0.21875 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.15625 -0.09375 0.28125q-0.078125 0.125 -0.296875 0.28125q-0.34375 0.234375 -0.8125 0.375q-0.46875 0.125 -0.953125 0.125zm6.029297 -0.78125q0.421875 0.03125 0.421875 0.375q0 0.203125 -0.15625 0.3125q-0.140625 0.09375 -0.4375 0.078125l-0.328125 -0.03125q-0.953125 -0.0625 -1.421875 -0.5625q-0.453125 -0.515625 -0.453125 -1.53125l0 -3.015625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -1.359375q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.34375l0 1.359375l1.328125 0q0.1875 0 0.296875 0.109375q0.125 0.109375 0.125 0.28125q0 0.171875 -0.125 0.28125q-0.109375 0.09375 -0.296875 0.09375l-1.328125 0l0 3.0625q0 0.65625 0.265625 0.953125q0.265625 0.296875 0.8125 0.328125l0.3125 0.03125zm5.830017 -5.265625q0.21875 0 0.34375 0.140625q0.125 0.125 0.125 0.34375l0 5.078125q0 0.203125 -0.125 0.34375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.34375 -0.125q-0.125 -0.125 -0.125 -0.328125l0 -0.609375q-0.28125 0.53125 -0.78125 0.8125q-0.5 0.265625 -1.125 0.265625q-1.03125 0 -1.5625 -0.578125q-0.53125 -0.578125 -0.53125 -1.71875l0 -3.265625q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625q0.21875 0 0.34375 0.140625q0.125 0.125 0.125 0.34375l0 3.234375q0 0.78125 0.3125 1.15625q0.3125 0.359375 0.984375 0.359375q0.765625 0 1.234375 -0.5q0.46875 -0.5 0.46875 -1.3125l0 -2.9375q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625zm5.1851807 0q0.5 -0.03125 0.5 0.40625q0 0.203125 -0.109375 0.3125q-0.109375 0.109375 -0.375 0.140625l-0.359375 0.03125q-0.796875 0.078125 -1.1875 0.578125q-0.390625 0.484375 -0.390625 1.15625l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.140625 -0.359375q0.140625 -0.125 0.34375 -0.125q0.1875 0 0.3125 0.125q0.140625 0.125 0.140625 0.34375l0 0.671875q0.25 -0.53125 0.71875 -0.796875q0.46875 -0.28125 1.0625 -0.328125l0.171875 -0.015625zm5.861023 4.609375q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375z" fill-rule="nonzero"/><path fill="#d9ead3" d="m31.874912 252.53609l87.49606 0l0 30.992142l-87.49606 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m31.874912 252.53609l87.49606 0l0 30.992142l-87.49606 0z" fill-rule="evenodd"/><path fill="#000000" d="m67.27695 264.03653q0.21875 0 0.34375 0.140625q0.125 0.125 0.125 0.359375l0 7.578125q0 0.21875 -0.125 0.359375q-0.125 0.140625 -0.34375 0.140625q-0.234375 0 -0.375 -0.140625q-0.125 -0.140625 -0.125 -0.359375l0 -3.4375l-5.062496 0l0 3.4375q0 0.21875 -0.140625 0.359375q-0.125 0.140625 -0.34375 0.140625q-0.234375 0 -0.359375 -0.140625q-0.125 -0.140625 -0.125 -0.359375l0 -7.578125q0 -0.234375 0.125 -0.359375q0.125 -0.140625 0.359375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.359375l0 3.296875l5.062496 0l0 -3.296875q0 -0.234375 0.125 -0.359375q0.140625 -0.140625 0.375 -0.140625zm3.0648193 8.515625q-0.234375 0 -0.375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -7.5q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.375 -0.125l2.34375 0q2.03125 0 3.140625 1.09375q1.109375 1.09375 1.109375 3.125q0 2.03125 -1.125 3.140625q-1.109375 1.09375 -3.125 1.09375l-2.34375 0zm2.28125 -0.84375q3.28125 0 3.28125 -3.390625q0 -3.390625 -3.28125 -3.390625l-1.796875 0l0 6.78125l1.796875 0zm6.5711823 0.90625q-0.21875 0 -0.359375 -0.140625q-0.125 -0.140625 -0.125 -0.359375l0 -7.546875q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.375 -0.125l4.375 0q0.203125 0 0.328125 0.109375q0.125 0.09375 0.125 0.296875q0 0.203125 -0.125 0.3125q-0.125 0.109375 -0.328125 0.109375l-3.90625 0l0 2.90625l3.65625 0q0.21875 0 0.328125 0.109375q0.125 0.109375 0.125 0.3125q0 0.1875 -0.125 0.296875q-0.109375 0.109375 -0.328125 0.109375l-3.65625 0l0 3.453125q0 0.21875 -0.125 0.359375q-0.125 0.140625 -0.359375 0.140625zm9.0746765 -5.359375q0.8125 0 1.40625 0.34375q0.609375 0.328125 0.9375 0.9375q0.328125 0.59375 0.328125 1.390625q0 0.78125 -0.359375 1.40625q-0.359375 0.625 -1.0 0.96875q-0.640625 0.328125 -1.484375 0.328125q-0.734375 0 -1.453125 -0.25q-0.703125 -0.265625 -1.1875 -0.734375q-0.203125 -0.171875 -0.203125 -0.40625q0 -0.171875 0.09375 -0.296875q0.109375 -0.125 0.234375 -0.125q0.171875 0 0.34375 0.140625q0.515625 0.4375 1.046875 0.640625q0.53125 0.203125 1.109375 0.203125q0.890625 0 1.390625 -0.5q0.5 -0.5 0.5 -1.359375q0 -0.84375 -0.5 -1.359375q-0.5 -0.515625 -1.359375 -0.515625q-1.09375 0 -1.78125 0.84375q-0.15625 0.171875 -0.40625 0.171875q-0.15625 0 -0.28125 -0.09375q-0.109375 -0.109375 -0.109375 -0.296875l0 -4.125q0 -0.21875 0.125 -0.34375q0.125 -0.125 0.359375 -0.125l4.21875 0q0.21875 0 0.34375 0.109375q0.125 0.09375 0.125 0.296875q0 0.1875 -0.125 0.296875q-0.125 0.109375 -0.34375 0.109375l-3.734375 0l0 3.015625q0.34375 -0.328125 0.78125 -0.5q0.453125 -0.171875 0.984375 -0.171875z" fill-rule="nonzero"/><path fill="#d9ead3" d="m190.14 134.76706l87.49608 0l0 30.992126l-87.49608 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m190.14 134.76706l87.49608 0l0 30.992126l-87.49608 0z" fill-rule="evenodd"/><path fill="#000000" d="m215.10997 150.37688q0.1875 0 0.296875 0.109375q0.109375 0.109375 0.109375 0.296875l0 2.984375q0 0.296875 -0.09375 0.4375q-0.078125 0.140625 -0.328125 0.234375q-0.46875 0.203125 -1.15625 0.328125q-0.6875 0.109375 -1.375 0.109375q-1.25 0 -2.171875 -0.515625q-0.90625 -0.515625 -1.390625 -1.484375q-0.484375 -0.96875 -0.484375 -2.328125q0 -1.328125 0.46875 -2.296875q0.484375 -0.984375 1.375 -1.5q0.90625 -0.53125 2.125 -0.53125q0.84375 0 1.5625 0.265625q0.71875 0.25 1.203125 0.734375q0.21875 0.203125 0.21875 0.421875q0 0.171875 -0.109375 0.296875q-0.09375 0.125 -0.234375 0.125q-0.140625 0 -0.328125 -0.140625q-0.625 -0.484375 -1.140625 -0.671875q-0.5 -0.1875 -1.15625 -0.1875q-1.4375 0 -2.203125 0.90625q-0.75 0.890625 -0.75 2.578125q0 1.71875 0.765625 2.609375q0.78125 0.890625 2.28125 0.890625q1.109375 0 2.03125 -0.328125l0 -2.578125l-1.75 0q-0.203125 0 -0.328125 -0.109375q-0.125 -0.109375 -0.125 -0.265625q0 -0.1875 0.125 -0.28125q0.125 -0.109375 0.328125 -0.109375l2.234375 0zm5.1568146 -1.5625q0.5 -0.03125 0.5 0.40625q0 0.203125 -0.109375 0.3125q-0.109375 0.109375 -0.375 0.140625l-0.359375 0.03125q-0.796875 0.078125 -1.1875 0.578125q-0.390625 0.484375 -0.390625 1.15625l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.140625 -0.359375q0.140625 -0.125 0.34375 -0.125q0.1875 0 0.3125 0.125q0.140625 0.125 0.140625 0.34375l0 0.671875q0.25 -0.53125 0.71875 -0.796875q0.46875 -0.28125 1.0625 -0.328125l0.171875 -0.015625zm3.720398 -0.015625q2.203125 0 2.203125 2.296875l0 3.265625q0 0.21875 -0.125 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -0.578125q-0.21875 0.515625 -0.6875 0.796875q-0.46875 0.28125 -1.078125 0.28125q-0.5625 0 -1.046875 -0.21875q-0.46875 -0.234375 -0.75 -0.640625q-0.265625 -0.40625 -0.265625 -0.90625q0 -0.65625 0.328125 -1.015625q0.34375 -0.375 1.109375 -0.53125q0.765625 -0.15625 2.125 -0.15625l0.265625 0l0 -0.40625q0 -0.71875 -0.296875 -1.046875q-0.28125 -0.34375 -0.953125 -0.34375q-0.8125 0 -1.65625 0.453125q-0.3125 0.203125 -0.453125 0.203125q-0.140625 0 -0.234375 -0.109375q-0.09375 -0.109375 -0.09375 -0.28125q0 -0.171875 0.09375 -0.296875q0.109375 -0.125 0.328125 -0.25q0.421875 -0.25 0.953125 -0.375q0.546875 -0.140625 1.0625 -0.140625zm-0.390625 5.296875q0.71875 0 1.171875 -0.484375q0.46875 -0.484375 0.46875 -1.25l0 -0.34375l-0.21875 0q-1.046875 0 -1.609375 0.09375q-0.546875 0.078125 -0.78125 0.296875q-0.234375 0.203125 -0.234375 0.609375q0 0.46875 0.34375 0.78125q0.34375 0.296875 0.859375 0.296875zm7.3131714 -5.296875q0.765625 0 1.34375 0.390625q0.59375 0.375 0.921875 1.0625q0.328125 0.6875 0.328125 1.609375q0 0.90625 -0.328125 1.59375q-0.328125 0.671875 -0.90625 1.046875q-0.578125 0.359375 -1.359375 0.359375q-0.6875 0 -1.203125 -0.296875q-0.5 -0.296875 -0.765625 -0.84375l0 2.8125q0 0.21875 -0.125 0.34375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.140625q-0.125 -0.125 -0.125 -0.328125l0 -7.234375q0 -0.21875 0.125 -0.34375q0.125 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.140625q0.125 0.125 0.125 0.34375l0 0.640625q0.265625 -0.546875 0.765625 -0.84375q0.515625 -0.296875 1.203125 -0.296875zm-0.203125 5.265625q0.859375 0 1.328125 -0.578125q0.46875 -0.578125 0.46875 -1.625q0 -1.0625 -0.46875 -1.65625q-0.46875 -0.59375 -1.328125 -0.59375q-0.84375 0 -1.3125 0.578125q-0.453125 0.578125 -0.453125 1.640625q0 1.0625 0.453125 1.65625q0.46875 0.578125 1.3125 0.578125zm7.2028046 -5.265625q1.03125 0 1.546875 0.578125q0.53125 0.578125 0.53125 1.734375l0 3.25q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -3.21875q0 -0.78125 -0.328125 -1.15625q-0.3125 -0.375 -1.0 -0.375q-0.8125 0 -1.296875 0.5q-0.46875 0.484375 -0.46875 1.328125l0 2.921875q0 0.234375 -0.125 0.359375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -7.625q0 -0.203125 0.125 -0.328125q0.140625 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.125q0.125 0.125 0.125 0.34375l0 3.140625q0.28125 -0.53125 0.796875 -0.796875q0.515625 -0.28125 1.1875 -0.28125zm4.5035553 5.984375q-0.234375 0 -0.375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -7.5q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.375 -0.125l2.34375 0q2.03125 0 3.140625 1.09375q1.109375 1.09375 1.109375 3.125q0 2.03125 -1.125 3.140625q-1.109375 1.09375 -3.125 1.09375l-2.34375 0zm2.28125 -0.84375q3.28125 0 3.28125 -3.390625q0 -3.390625 -3.28125 -3.390625l-1.796875 0l0 6.78125l1.796875 0zm10.461807 -0.515625q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375zm6.480301 -2.453125q-0.640625 0.046875 -0.96875 0.40625q-0.3125 0.34375 -0.3125 1.046875l0 0.390625l1.328125 0q0.203125 0 0.3125 0.109375q0.109375 0.109375 0.109375 0.28125q0 0.1875 -0.109375 0.28125q-0.109375 0.09375 -0.3125 0.09375l-1.328125 0l0 4.65625q0 0.234375 -0.140625 0.359375q-0.140625 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.140625 -0.125 -0.140625 -0.359375l0 -4.65625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -0.21875q0 -1.078125 0.53125 -1.6875q0.546875 -0.625 1.5625 -0.703125l0.3125 -0.015625q0.3125 -0.03125 0.453125 0.0625q0.140625 0.078125 0.140625 0.296875q0 0.34375 -0.421875 0.390625l-0.3125 0.03125z" fill-rule="nonzero"/><path fill="#d9ead3" d="m233.1085 252.53609l87.49608 0l0 30.992142l-87.49608 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m233.1085 252.53609l87.49608 0l0 30.992142l-87.49608 0z" fill-rule="evenodd"/><path fill="#000000" d="m260.00964 265.61465q-0.21875 0 -0.359375 -0.140625q-0.125 -0.140625 -0.125 -0.359375l0 -7.546875q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.375 -0.125l4.375 0q0.203125 0 0.328125 0.109375q0.125 0.09375 0.125 0.296875q0 0.203125 -0.125 0.3125q-0.125 0.109375 -0.328125 0.109375l-3.90625 0l0 2.90625l3.65625 0q0.21875 0 0.328125 0.109375q0.125 0.109375 0.125 0.3125q0 0.1875 -0.125 0.296875q-0.109375 0.109375 -0.328125 0.109375l-3.65625 0l0 3.453125q0 0.21875 -0.125 0.359375q-0.125 0.140625 -0.359375 0.140625zm8.9496765 -6.03125q0.5 -0.03125 0.5 0.40625q0 0.203125 -0.109375 0.3125q-0.109375 0.109375 -0.375 0.140625l-0.359375 0.03125q-0.796875 0.078125 -1.1875 0.578125q-0.390625 0.484375 -0.390625 1.15625l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.140625 -0.359375q0.140625 -0.125 0.34375 -0.125q0.1875 0 0.3125 0.125q0.140625 0.125 0.140625 0.34375l0 0.671875q0.25 -0.53125 0.71875 -0.796875q0.46875 -0.28125 1.0625 -0.328125l0.171875 -0.015625zm3.767273 6.046875q-0.828125 0 -1.46875 -0.359375q-0.625 -0.375 -0.96875 -1.0625q-0.34375 -0.703125 -0.34375 -1.609375q0 -0.90625 0.34375 -1.59375q0.34375 -0.703125 0.96875 -1.0625q0.640625 -0.375 1.46875 -0.375q0.828125 0 1.453125 0.375q0.640625 0.359375 0.984375 1.0625q0.34375 0.6875 0.34375 1.59375q0 0.90625 -0.34375 1.609375q-0.34375 0.6875 -0.984375 1.0625q-0.625 0.359375 -1.453125 0.359375zm0 -0.796875q0.859375 0 1.3125 -0.5625q0.46875 -0.578125 0.46875 -1.671875q0 -1.0625 -0.46875 -1.640625q-0.46875 -0.59375 -1.3125 -0.59375q-0.859375 0 -1.328125 0.59375q-0.46875 0.578125 -0.46875 1.640625q0 1.078125 0.453125 1.65625q0.46875 0.578125 1.34375 0.578125zm8.535065 -0.046875q0.203125 0 0.296875 0.109375q0.109375 0.09375 0.109375 0.265625q0 0.1875 -0.109375 0.296875q-0.09375 0.09375 -0.296875 0.09375l-4.203125 0q-0.203125 0 -0.34375 -0.125q-0.125 -0.125 -0.125 -0.3125q0 -0.1875 0.140625 -0.359375l3.546875 -4.28125l-3.28125 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l4.0625 0q0.21875 0 0.34375 0.125q0.140625 0.125 0.140625 0.3125q0 0.1875 -0.140625 0.359375l-3.5625 4.28125l3.421875 0zm6.2547913 -0.59375q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375zm6.8396606 -0.75q2.09375 0 2.09375 2.3125l0 3.25q0 0.234375 -0.125 0.359375q-0.125 0.125 -0.359375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -3.1875q0 -0.8125 -0.328125 -1.1875q-0.3125 -0.375 -1.0 -0.375q-0.8125 0 -1.296875 0.5q-0.46875 0.484375 -0.46875 1.328125l0 2.921875q0 0.234375 -0.125 0.359375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.21875 0.125 -0.34375q0.125 -0.140625 0.359375 -0.140625q0.21875 0 0.34375 0.140625q0.125 0.125 0.125 0.328125l0 0.609375q0.28125 -0.53125 0.796875 -0.8125q0.53125 -0.28125 1.1875 -0.28125z" fill-rule="nonzero"/><path fill="#000000" d="m258.07846 275.1459q0.1875 0 0.296875 0.109375q0.109375 0.109375 0.109375 0.296875l0 2.984375q0 0.296875 -0.09375 0.4375q-0.078125 0.140625 -0.328125 0.234375q-0.46875 0.203125 -1.15625 0.328125q-0.6875 0.109375 -1.3749847 0.109375q-1.25 0 -2.171875 -0.515625q-0.90625 -0.515625 -1.390625 -1.484375q-0.484375 -0.96875 -0.484375 -2.328125q0 -1.328125 0.46875 -2.296875q0.484375 -0.984375 1.375 -1.5q0.90625 -0.53125 2.125 -0.53125q0.84373474 0 1.5624847 0.265625q0.71875 0.25 1.203125 0.734375q0.21875 0.203125 0.21875 0.421875q0 0.171875 -0.109375 0.296875q-0.09375 0.125 -0.234375 0.125q-0.140625 0 -0.328125 -0.140625q-0.625 -0.484375 -1.140625 -0.671875q-0.5 -0.1875 -1.1562347 -0.1875q-1.4375 0 -2.203125 0.90625q-0.75 0.890625 -0.75 2.578125q0 1.71875 0.765625 2.609375q0.78125 0.890625 2.28125 0.890625q1.1093597 0 2.0312347 -0.328125l0 -2.578125l-1.7499847 0q-0.203125 0 -0.328125 -0.109375q-0.125 -0.109375 -0.125 -0.265625q0 -0.1875 0.125 -0.28125q0.125 -0.109375 0.328125 -0.109375l2.2343597 0zm5.15683 -1.5625q0.5 -0.03125 0.5 0.40625q0 0.203125 -0.109375 0.3125q-0.109375 0.109375 -0.375 0.140625l-0.359375 0.03125q-0.796875 0.078125 -1.1875 0.578125q-0.390625 0.484375 -0.390625 1.15625l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.140625 -0.359375q0.140625 -0.125 0.34375 -0.125q0.1875 0 0.3125 0.125q0.140625 0.125 0.140625 0.34375l0 0.671875q0.25 -0.53125 0.71875 -0.796875q0.46875 -0.28125 1.0625 -0.328125l0.171875 -0.015625zm3.720398 -0.015625q2.203125 0 2.203125 2.296875l0 3.265625q0 0.21875 -0.125 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -0.578125q-0.21875 0.515625 -0.6875 0.796875q-0.46875 0.28125 -1.078125 0.28125q-0.5625 0 -1.046875 -0.21875q-0.46875 -0.234375 -0.75 -0.640625q-0.265625 -0.40625 -0.265625 -0.90625q0 -0.65625 0.328125 -1.015625q0.34375 -0.375 1.109375 -0.53125q0.765625 -0.15625 2.125 -0.15625l0.265625 0l0 -0.40625q0 -0.71875 -0.296875 -1.046875q-0.28125 -0.34375 -0.953125 -0.34375q-0.8125 0 -1.65625 0.453125q-0.3125 0.203125 -0.453125 0.203125q-0.140625 0 -0.234375 -0.109375q-0.09375 -0.109375 -0.09375 -0.28125q0 -0.171875 0.09375 -0.296875q0.109375 -0.125 0.328125 -0.25q0.421875 -0.25 0.953125 -0.375q0.546875 -0.140625 1.0625 -0.140625zm-0.390625 5.296875q0.71875 0 1.171875 -0.484375q0.46875 -0.484375 0.46875 -1.25l0 -0.34375l-0.21875 0q-1.046875 0 -1.609375 0.09375q-0.546875 0.078125 -0.78125 0.296875q-0.234375 0.203125 -0.234375 0.609375q0 0.46875 0.34375 0.78125q0.34375 0.296875 0.859375 0.296875zm7.3131714 -5.296875q0.765625 0 1.34375 0.390625q0.59375 0.375 0.921875 1.0625q0.328125 0.6875 0.328125 1.609375q0 0.90625 -0.328125 1.59375q-0.328125 0.671875 -0.90625 1.046875q-0.578125 0.359375 -1.359375 0.359375q-0.6875 0 -1.203125 -0.296875q-0.5 -0.296875 -0.765625 -0.84375l0 2.8125q0 0.21875 -0.125 0.34375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.140625q-0.125 -0.125 -0.125 -0.328125l0 -7.234375q0 -0.21875 0.125 -0.34375q0.125 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.140625q0.125 0.125 0.125 0.34375l0 0.640625q0.265625 -0.546875 0.765625 -0.84375q0.515625 -0.296875 1.203125 -0.296875zm-0.203125 5.265625q0.859375 0 1.328125 -0.578125q0.46875 -0.578125 0.46875 -1.625q0 -1.0625 -0.46875 -1.65625q-0.46875 -0.59375 -1.328125 -0.59375q-0.84375 0 -1.3125 0.578125q-0.453125 0.578125 -0.453125 1.640625q0 1.0625 0.453125 1.65625q0.46875 0.578125 1.3125 0.578125zm7.2027893 -5.265625q1.03125 0 1.546875 0.578125q0.53125 0.578125 0.53125 1.734375l0 3.25q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -3.21875q0 -0.78125 -0.328125 -1.15625q-0.3125 -0.375 -1.0 -0.375q-0.8125 0 -1.296875 0.5q-0.46875 0.484375 -0.46875 1.328125l0 2.921875q0 0.234375 -0.125 0.359375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -7.625q0 -0.203125 0.125 -0.328125q0.140625 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.125q0.125 0.125 0.125 0.34375l0 3.140625q0.28125 -0.53125 0.796875 -0.796875q0.515625 -0.28125 1.1875 -0.28125zm4.5035706 5.984375q-0.234375 0 -0.375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -7.5q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.375 -0.125l2.34375 0q2.03125 0 3.140625 1.09375q1.109375 1.09375 1.109375 3.125q0 2.03125 -1.125 3.140625q-1.109375 1.09375 -3.125 1.09375l-2.34375 0zm2.28125 -0.84375q3.28125 0 3.28125 -3.390625q0 -3.390625 -3.28125 -3.390625l-1.796875 0l0 6.78125l1.796875 0zm10.461792 -0.515625q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375zm6.480316 -2.453125q-0.640625 0.046875 -0.96875 0.40625q-0.3125 0.34375 -0.3125 1.046875l0 0.390625l1.328125 0q0.203125 0 0.3125 0.109375q0.109375 0.109375 0.109375 0.28125q0 0.1875 -0.109375 0.28125q-0.109375 0.09375 -0.3125 0.09375l-1.328125 0l0 4.65625q0 0.234375 -0.140625 0.359375q-0.140625 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.140625 -0.125 -0.140625 -0.359375l0 -4.65625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -0.21875q0 -1.078125 0.53125 -1.6875q0.546875 -0.625 1.5625 -0.703125l0.3125 -0.015625q0.3125 -0.03125 0.453125 0.0625q0.140625 0.078125 0.140625 0.296875q0 0.34375 -0.421875 0.390625l-0.3125 0.03125z" fill-rule="nonzero"/><path fill="#000000" fill-opacity="0.0" d="m276.85565 232.16667l0 20.377945" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m276.85565 232.16667l0 16.950867" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m276.85565 249.11754l-1.1246033 -1.124588l1.1246033 3.0897675l1.1245728 -3.0897675z" fill-rule="evenodd"/><path fill="#f4cccc" d="m31.874016 68.3563l87.49606 0l0 30.992126l-87.49606 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m31.874016 68.3563l87.49606 0l0 30.992126l-87.49606 0z" fill-rule="evenodd"/><path fill="#000000" d="m58.725647 87.669235q0.421875 0.03125 0.421875 0.375q0 0.203125 -0.15625 0.3125q-0.140625 0.09375 -0.4375 0.078125l-0.328125 -0.03125q-0.953125 -0.0625 -1.421875 -0.5625q-0.453125 -0.515625 -0.453125 -1.53125l0 -3.015625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -1.359375q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.34375l0 1.359375l1.328125 0q0.1875 0 0.296875 0.109375q0.125 0.109375 0.125 0.28125q0 0.171875 -0.125 0.28125q-0.109375 0.09375 -0.296875 0.09375l-1.328125 0l0 3.0625q0 0.65625 0.265625 0.953125q0.265625 0.296875 0.8125 0.328125l0.3125 0.03125zm3.9706573 -6.984375q-0.640625 0.046875 -0.96875 0.40625q-0.3125 0.34375 -0.3125 1.046875l0 0.390625l1.328125 0q0.203125 0 0.3125 0.109375q0.109375 0.109375 0.109375 0.28125q0 0.1875 -0.109375 0.28125q-0.109375 0.09375 -0.3125 0.09375l-1.328125 0l0 4.65625q0 0.234375 -0.140625 0.359375q-0.140625 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.140625 -0.125 -0.140625 -0.359375l0 -4.65625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -0.21875q0 -1.078125 0.53125 -1.6875q0.546875 -0.625 1.5625 -0.703125l0.3125 -0.015625q0.3125 -0.03125 0.453125 0.0625q0.140625 0.078125 0.140625 0.296875q0 0.34375 -0.421875 0.390625l-0.3125 0.03125zm1.8266602 7.75q-0.28125 0 -0.484375 -0.1875q-0.1875 -0.1875 -0.1875 -0.484375q0 -0.296875 0.1875 -0.484375q0.203125 -0.203125 0.484375 -0.203125q0.28125 0 0.46875 0.203125q0.1875 0.1875 0.1875 0.484375q0 0.296875 -0.1875 0.484375q-0.1875 0.1875 -0.46875 0.1875zm8.498016 -0.8125q0.171875 0.15625 0.171875 0.359375q0 0.15625 -0.140625 0.296875q-0.140625 0.140625 -0.3125 0.140625q-0.15625 0 -0.328125 -0.140625l-4.484375 -3.921875l0 3.578125q0 0.21875 -0.140625 0.359375q-0.125 0.140625 -0.359375 0.140625q-0.21875 0 -0.359375 -0.140625q-0.125 -0.140625 -0.125 -0.359375l0 -7.578125q0 -0.234375 0.125 -0.359375q0.140625 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.140625q0.140625 0.125 0.140625 0.359375l0 3.4375l4.28125 -3.796875q0.125 -0.140625 0.3125 -0.140625q0.171875 0 0.296875 0.140625q0.140625 0.140625 0.140625 0.3125q0 0.171875 -0.15625 0.328125l-3.875 3.421875l4.09375 3.5625zm5.8329315 -0.609375q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375zm6.792801 -0.734375q0.5 -0.03125 0.5 0.40625q0 0.203125 -0.109375 0.3125q-0.109375 0.109375 -0.375 0.140625l-0.359375 0.03125q-0.796875 0.078125 -1.1875 0.578125q-0.390625 0.484375 -0.390625 1.15625l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.140625 -0.359375q0.140625 -0.125 0.34375 -0.125q0.1875 0 0.3125 0.125q0.140625 0.125 0.140625 0.34375l0 0.671875q0.25 -0.53125 0.71875 -0.796875q0.46875 -0.28125 1.0625 -0.328125l0.171875 -0.015625zm3.720398 -0.015625q2.203125 0 2.203125 2.296875l0 3.265625q0 0.21875 -0.125 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -0.578125q-0.21875 0.515625 -0.6875 0.796875q-0.46875 0.28125 -1.078125 0.28125q-0.5625 0 -1.046875 -0.21875q-0.46875 -0.234375 -0.75 -0.640625q-0.265625 -0.40625 -0.265625 -0.90625q0 -0.65625 0.328125 -1.015625q0.34375 -0.375 1.109375 -0.53125q0.765625 -0.15625 2.125 -0.15625l0.265625 0l0 -0.40625q0 -0.71875 -0.296875 -1.046875q-0.28125 -0.34375 -0.953125 -0.34375q-0.8125 0 -1.65625 0.453125q-0.3125 0.203125 -0.453125 0.203125q-0.140625 0 -0.234375 -0.109375q-0.09375 -0.109375 -0.09375 -0.28125q0 -0.171875 0.09375 -0.296875q0.109375 -0.125 0.328125 -0.25q0.421875 -0.25 0.953125 -0.375q0.546875 -0.140625 1.0625 -0.140625zm-0.390625 5.296875q0.71875 0 1.171875 -0.484375q0.46875 -0.484375 0.46875 -1.25l0 -0.34375l-0.21875 0q-1.046875 0 -1.609375 0.09375q-0.546875 0.078125 -0.78125 0.296875q-0.234375 0.203125 -0.234375 0.609375q0 0.46875 0.34375 0.78125q0.34375 0.296875 0.859375 0.296875zm6.3444214 0.765625q-0.5625 0 -1.0625 -0.125q-0.5 -0.140625 -0.875 -0.375q-0.21875 -0.140625 -0.3125 -0.265625q-0.078125 -0.125 -0.078125 -0.3125q0 -0.15625 0.078125 -0.25q0.09375 -0.109375 0.234375 -0.109375q0.15625 0 0.421875 0.1875q0.359375 0.21875 0.71875 0.34375q0.359375 0.125 0.875 0.125q0.65625 0 1.015625 -0.21875q0.359375 -0.234375 0.359375 -0.671875q0 -0.265625 -0.140625 -0.421875q-0.125 -0.171875 -0.453125 -0.296875q-0.3125 -0.125 -0.9375 -0.25q-1.0625 -0.234375 -1.515625 -0.609375q-0.453125 -0.390625 -0.453125 -1.046875q0 -0.515625 0.28125 -0.90625q0.28125 -0.40625 0.796875 -0.625q0.515625 -0.234375 1.15625 -0.234375q0.46875 0 0.90625 0.125q0.4375 0.125 0.78125 0.34375q0.40625 0.296875 0.40625 0.609375q0 0.15625 -0.09375 0.265625q-0.09375 0.109375 -0.234375 0.109375q-0.140625 0 -0.4375 -0.203125q-0.328125 -0.21875 -0.625 -0.34375q-0.296875 -0.125 -0.75 -0.125q-0.5625 0 -0.90625 0.265625q-0.34375 0.25 -0.34375 0.671875q0 0.25 0.125 0.421875q0.125 0.15625 0.421875 0.28125q0.296875 0.125 0.84375 0.25q0.828125 0.1875 1.265625 0.40625q0.453125 0.203125 0.640625 0.515625q0.203125 0.3125 0.203125 0.796875q0 0.75 -0.640625 1.21875q-0.640625 0.453125 -1.671875 0.453125z" fill-rule="nonzero"/><path fill="#f4cccc" d="m132.49081 68.35761l87.49606 0l0 30.992126l-87.49606 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m132.49081 68.35761l87.49606 0l0 30.992126l-87.49606 0z" fill-rule="evenodd"/><path fill="#000000" d="m152.20152 88.37367q-0.234375 0 -0.375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -7.5q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.375 -0.125l4.484375 0q0.21875 0 0.328125 0.109375q0.125 0.09375 0.125 0.296875q0 0.1875 -0.125 0.296875q-0.109375 0.109375 -0.328125 0.109375l-4.015625 0l0 2.9375l3.78125 0q0.21875 0 0.328125 0.109375q0.125 0.109375 0.125 0.296875q0 0.1875 -0.125 0.296875q-0.109375 0.109375 -0.328125 0.109375l-3.78125 0l0 3.078125l4.015625 0q0.21875 0 0.328125 0.109375q0.125 0.09375 0.125 0.296875q0 0.1875 -0.125 0.296875q-0.109375 0.109375 -0.328125 0.109375l-4.484375 0zm8.31218 0.078125q-0.5625 0 -1.0625 -0.125q-0.5 -0.140625 -0.875 -0.375q-0.21875 -0.140625 -0.3125 -0.265625q-0.078125 -0.125 -0.078125 -0.3125q0 -0.15625 0.078125 -0.25q0.09375 -0.109375 0.234375 -0.109375q0.15625 0 0.421875 0.1875q0.359375 0.21875 0.71875 0.34375q0.359375 0.125 0.875 0.125q0.65625 0 1.015625 -0.21875q0.359375 -0.234375 0.359375 -0.671875q0 -0.265625 -0.140625 -0.421875q-0.125 -0.171875 -0.453125 -0.296875q-0.3125 -0.125 -0.9375 -0.25q-1.0625 -0.234375 -1.515625 -0.609375q-0.453125 -0.390625 -0.453125 -1.046875q0 -0.515625 0.28125 -0.90625q0.28125 -0.40625 0.796875 -0.625q0.515625 -0.234375 1.15625 -0.234375q0.46875 0 0.90625 0.125q0.4375 0.125 0.78125 0.34375q0.40625 0.296875 0.40625 0.609375q0 0.15625 -0.09375 0.265625q-0.09375 0.109375 -0.234375 0.109375q-0.140625 0 -0.4375 -0.203125q-0.328125 -0.21875 -0.625 -0.34375q-0.296875 -0.125 -0.75 -0.125q-0.5625 0 -0.90625 0.265625q-0.34375 0.25 -0.34375 0.671875q0 0.25 0.125 0.421875q0.125 0.15625 0.421875 0.28125q0.296875 0.125 0.84375 0.25q0.828125 0.1875 1.265625 0.40625q0.453125 0.203125 0.640625 0.515625q0.203125 0.3125 0.203125 0.796875q0 0.75 -0.640625 1.21875q-0.640625 0.453125 -1.671875 0.453125zm6.4787903 -0.78125q0.421875 0.03125 0.421875 0.375q0 0.203125 -0.15625 0.3125q-0.140625 0.09375 -0.4375 0.078125l-0.328125 -0.03125q-0.953125 -0.0625 -1.421875 -0.5625q-0.453125 -0.515625 -0.453125 -1.53125l0 -3.015625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -1.359375q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.34375l0 1.359375l1.328125 0q0.1875 0 0.296875 0.109375q0.125 0.109375 0.125 0.28125q0 0.171875 -0.125 0.28125q-0.109375 0.09375 -0.296875 0.09375l-1.328125 0l0 3.0625q0 0.65625 0.265625 0.953125q0.265625 0.296875 0.8125 0.328125l0.3125 0.03125zm1.8769073 0.765625q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.125 -0.359375q0.140625 -0.125 0.359375 -0.125q0.21875 0 0.34375 0.125q0.140625 0.125 0.140625 0.359375l0 5.0625q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125zm0 -7.28125q-0.296875 0 -0.484375 -0.171875q-0.171875 -0.171875 -0.171875 -0.453125q0 -0.25 0.171875 -0.421875q0.1875 -0.171875 0.484375 -0.171875q0.28125 0 0.453125 0.171875q0.1875 0.171875 0.1875 0.421875q0 0.28125 -0.1875 0.453125q-0.171875 0.171875 -0.453125 0.171875zm8.799652 1.234375q1.9375 0 1.9375 2.3125l0 3.25q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.328125 0.125q-0.21875 0 -0.359375 -0.125q-0.140625 -0.125 -0.140625 -0.359375l0 -3.21875q0 -0.8125 -0.296875 -1.171875q-0.28125 -0.359375 -0.890625 -0.359375q-0.734375 0 -1.15625 0.5q-0.421875 0.484375 -0.421875 1.328125l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -3.21875q0 -0.8125 -0.296875 -1.171875q-0.28125 -0.359375 -0.90625 -0.359375q-0.71875 0 -1.140625 0.5q-0.421875 0.484375 -0.421875 1.328125l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.359375 -0.140625q0.203125 0 0.328125 0.125q0.140625 0.125 0.140625 0.34375l0 0.578125q0.265625 -0.515625 0.734375 -0.78125q0.46875 -0.28125 1.078125 -0.28125q1.375 0 1.78125 1.140625q0.265625 -0.515625 0.78125 -0.828125q0.515625 -0.3125 1.171875 -0.3125zm6.0990753 0q2.203125 0 2.203125 2.296875l0 3.265625q0 0.21875 -0.125 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -0.578125q-0.21875 0.515625 -0.6875 0.796875q-0.46875 0.28125 -1.078125 0.28125q-0.5625 0 -1.046875 -0.21875q-0.46875 -0.234375 -0.75 -0.640625q-0.265625 -0.40625 -0.265625 -0.90625q0 -0.65625 0.328125 -1.015625q0.34375 -0.375 1.109375 -0.53125q0.765625 -0.15625 2.125 -0.15625l0.265625 0l0 -0.40625q0 -0.71875 -0.296875 -1.046875q-0.28125 -0.34375 -0.953125 -0.34375q-0.8125 0 -1.65625 0.453125q-0.3125 0.203125 -0.453125 0.203125q-0.140625 0 -0.234375 -0.109375q-0.09375 -0.109375 -0.09375 -0.28125q0 -0.171875 0.09375 -0.296875q0.109375 -0.125 0.328125 -0.25q0.421875 -0.25 0.953125 -0.375q0.546875 -0.140625 1.0625 -0.140625zm-0.390625 5.296875q0.71875 0 1.171875 -0.484375q0.46875 -0.484375 0.46875 -1.25l0 -0.34375l-0.21875 0q-1.046875 0 -1.609375 0.09375q-0.546875 0.078125 -0.78125 0.296875q-0.234375 0.203125 -0.234375 0.609375q0 0.46875 0.34375 0.78125q0.34375 0.296875 0.859375 0.296875zm7.0631714 -0.015625q0.421875 0.03125 0.421875 0.375q0 0.203125 -0.15625 0.3125q-0.140625 0.09375 -0.4375 0.078125l-0.328125 -0.03125q-0.953125 -0.0625 -1.421875 -0.5625q-0.453125 -0.515625 -0.453125 -1.53125l0 -3.015625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -1.359375q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.34375l0 1.359375l1.328125 0q0.1875 0 0.296875 0.109375q0.125 0.109375 0.125 0.28125q0 0.171875 -0.125 0.28125q-0.109375 0.09375 -0.296875 0.09375l-1.328125 0l0 3.0625q0 0.65625 0.265625 0.953125q0.265625 0.296875 0.8125 0.328125l0.3125 0.03125zm3.8144073 0.78125q-0.828125 0 -1.46875 -0.359375q-0.625 -0.375 -0.96875 -1.0625q-0.34375 -0.703125 -0.34375 -1.609375q0 -0.90625 0.34375 -1.59375q0.34375 -0.703125 0.96875 -1.0625q0.640625 -0.375 1.46875 -0.375q0.828125 0 1.453125 0.375q0.640625 0.359375 0.984375 1.0625q0.34375 0.6875 0.34375 1.59375q0 0.90625 -0.34375 1.609375q-0.34375 0.6875 -0.984375 1.0625q-0.625 0.359375 -1.453125 0.359375zm0 -0.796875q0.859375 0 1.3125 -0.5625q0.46875 -0.578125 0.46875 -1.671875q0 -1.0625 -0.46875 -1.640625q-0.46875 -0.59375 -1.3125 -0.59375q-0.859375 0 -1.328125 0.59375q-0.46875 0.578125 -0.46875 1.640625q0 1.078125 0.453125 1.65625q0.46875 0.578125 1.34375 0.578125zm7.1287994 -5.25q0.5 -0.03125 0.5 0.40625q0 0.203125 -0.109375 0.3125q-0.109375 0.109375 -0.375 0.140625l-0.359375 0.03125q-0.796875 0.078125 -1.1875 0.578125q-0.390625 0.484375 -0.390625 1.15625l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.140625 -0.359375q0.140625 -0.125 0.34375 -0.125q0.1875 0 0.3125 0.125q0.140625 0.125 0.140625 0.34375l0 0.671875q0.25 -0.53125 0.71875 -0.796875q0.46875 -0.28125 1.0625 -0.328125l0.171875 -0.015625z" fill-rule="nonzero"/><path fill="#f4cccc" d="m233.1076 68.35761l87.49606 0l0 30.992126l-87.49606 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m233.1076 68.35761l87.49606 0l0 30.992126l-87.49606 0z" fill-rule="evenodd"/><path fill="#000000" d="m269.00754 88.46742q-0.90625 0 -1.734375 -0.265625q-0.8125 -0.265625 -1.3125 -0.734375q-0.171875 -0.15625 -0.171875 -0.40625q0 -0.171875 0.09375 -0.296875q0.09375 -0.125 0.234375 -0.125q0.15625 0 0.328125 0.125q1.109375 0.859375 2.546875 0.859375q1.03125 0 1.578125 -0.390625q0.5625 -0.390625 0.5625 -1.125q0 -0.421875 -0.265625 -0.671875q-0.265625 -0.265625 -0.703125 -0.421875q-0.4375 -0.15625 -1.15625 -0.328125q-0.984375 -0.21875 -1.625 -0.46875q-0.625 -0.265625 -1.015625 -0.734375q-0.390625 -0.46875 -0.390625 -1.21875q0 -0.71875 0.390625 -1.265625q0.390625 -0.5625 1.09375 -0.875q0.703125 -0.3125 1.59375 -0.3125q0.84375 0 1.5625 0.265625q0.734375 0.25 1.234375 0.734375q0.1875 0.1875 0.1875 0.421875q0 0.171875 -0.09375 0.296875q-0.09375 0.125 -0.234375 0.125q-0.125 0 -0.34375 -0.140625q-0.59375 -0.46875 -1.09375 -0.65625q-0.5 -0.203125 -1.21875 -0.203125q-0.984375 0 -1.546875 0.421875q-0.546875 0.40625 -0.546875 1.15625q0 0.625 0.484375 0.953125q0.484375 0.3125 1.5 0.5625q1.09375 0.25 1.71875 0.484375q0.625 0.21875 1.03125 0.671875q0.421875 0.4375 0.421875 1.171875q0 0.71875 -0.390625 1.265625q-0.390625 0.53125 -1.109375 0.828125q-0.703125 0.296875 -1.609375 0.296875zm5.0446777 -0.03125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -7.625q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.359375 -0.125q0.203125 0 0.34375 0.125q0.140625 0.125 0.140625 0.34375l0 7.625q0 0.234375 -0.140625 0.359375q-0.140625 0.125 -0.34375 0.125zm2.784027 0q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.125 -0.359375q0.140625 -0.125 0.359375 -0.125q0.21875 0 0.34375 0.125q0.140625 0.125 0.140625 0.359375l0 5.0625q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125zm0 -7.28125q-0.296875 0 -0.484375 -0.171875q-0.171875 -0.171875 -0.171875 -0.453125q0 -0.25 0.171875 -0.421875q0.1875 -0.171875 0.484375 -0.171875q0.28125 0 0.453125 0.171875q0.1875 0.171875 0.1875 0.421875q0 0.28125 -0.1875 0.453125q-0.171875 0.171875 -0.453125 0.171875zm8.799652 1.234375q1.9375 0 1.9375 2.3125l0 3.25q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.328125 0.125q-0.21875 0 -0.359375 -0.125q-0.140625 -0.125 -0.140625 -0.359375l0 -3.21875q0 -0.8125 -0.296875 -1.171875q-0.28125 -0.359375 -0.890625 -0.359375q-0.734375 0 -1.15625 0.5q-0.421875 0.484375 -0.421875 1.328125l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -3.21875q0 -0.8125 -0.296875 -1.171875q-0.28125 -0.359375 -0.90625 -0.359375q-0.71875 0 -1.140625 0.5q-0.421875 0.484375 -0.421875 1.328125l0 2.921875q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.359375 -0.140625q0.203125 0 0.328125 0.125q0.140625 0.125 0.140625 0.34375l0 0.578125q0.265625 -0.515625 0.734375 -0.78125q0.46875 -0.28125 1.078125 -0.28125q1.375 0 1.78125 1.140625q0.265625 -0.515625 0.78125 -0.828125q0.515625 -0.3125 1.171875 -0.3125z" fill-rule="nonzero"/><path fill="#d9ead3" d="m282.5035 134.76706l87.49606 0l0 30.992126l-87.49606 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m282.5035 134.76706l87.49606 0l0 30.992126l-87.49606 0z" fill-rule="evenodd"/><path fill="#000000" d="m297.8283 154.87688q-1.1875 0 -2.0625 -0.515625q-0.875 -0.53125 -1.359375 -1.5q-0.46875 -0.984375 -0.46875 -2.3125q0 -1.328125 0.46875 -2.296875q0.484375 -0.984375 1.359375 -1.5q0.875 -0.53125 2.0625 -0.53125q0.8125 0 1.515625 0.265625q0.71875 0.25 1.25 0.734375q0.1875 0.1875 0.1875 0.421875q0 0.171875 -0.09375 0.296875q-0.09375 0.125 -0.21875 0.125q-0.15625 0 -0.359375 -0.140625q-0.609375 -0.46875 -1.109375 -0.65625q-0.5 -0.203125 -1.140625 -0.203125q-1.390625 0 -2.140625 0.90625q-0.75 0.90625 -0.75 2.578125q0 1.671875 0.75 2.578125q0.75 0.90625 2.140625 0.90625q0.640625 0 1.140625 -0.1875q0.5 -0.1875 1.109375 -0.671875q0.203125 -0.125 0.359375 -0.125q0.125 0 0.21875 0.125q0.09375 0.109375 0.09375 0.296875q0 0.234375 -0.1875 0.40625q-0.53125 0.484375 -1.25 0.75q-0.703125 0.25 -1.515625 0.25zm7.358429 -6.078125q1.03125 0 1.546875 0.578125q0.53125 0.578125 0.53125 1.734375l0 3.25q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -3.21875q0 -0.78125 -0.328125 -1.15625q-0.3125 -0.375 -1.0 -0.375q-0.8125 0 -1.296875 0.5q-0.46875 0.484375 -0.46875 1.328125l0 2.921875q0 0.234375 -0.125 0.359375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -7.625q0 -0.203125 0.125 -0.328125q0.140625 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.125q0.125 0.125 0.125 0.34375l0 3.140625q0.28125 -0.53125 0.796875 -0.796875q0.515625 -0.28125 1.1875 -0.28125zm8.37854 4.625q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375zm6.308441 5.3125q-0.8125 0 -1.453125 -0.359375q-0.625 -0.375 -0.96875 -1.0625q-0.34375 -0.6875 -0.34375 -1.578125q0 -0.90625 0.359375 -1.59375q0.359375 -0.703125 0.984375 -1.078125q0.640625 -0.390625 1.46875 -0.390625q0.453125 0 0.90625 0.125q0.453125 0.125 0.78125 0.359375q0.21875 0.140625 0.3125 0.28125q0.09375 0.140625 0.09375 0.3125q0 0.171875 -0.09375 0.28125q-0.09375 0.09375 -0.234375 0.09375q-0.078125 0 -0.1875 -0.046875q-0.09375 -0.046875 -0.15625 -0.09375q-0.0625 -0.046875 -0.09375 -0.0625q-0.3125 -0.203125 -0.59375 -0.3125q-0.28125 -0.125 -0.6875 -0.125q-0.875 0 -1.359375 0.59375q-0.484375 0.59375 -0.484375 1.65625q0 1.046875 0.484375 1.625q0.484375 0.578125 1.359375 0.578125q0.40625 0 0.703125 -0.109375q0.296875 -0.125 0.59375 -0.328125q0.140625 -0.09375 0.25 -0.15625q0.125 -0.0625 0.203125 -0.0625q0.140625 0 0.21875 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.15625 -0.09375 0.28125q-0.078125 0.125 -0.296875 0.28125q-0.34375 0.234375 -0.8125 0.375q-0.46875 0.125 -0.953125 0.125zm7.998047 -0.84375q0.203125 0.171875 0.203125 0.375q0 0.1875 -0.125 0.328125q-0.125 0.125 -0.3125 0.125q-0.15625 0 -0.328125 -0.140625l-3.125 -2.703125l0 2.359375q0 0.234375 -0.140625 0.359375q-0.140625 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -7.625q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.359375 -0.125q0.203125 0 0.34375 0.125q0.140625 0.125 0.140625 0.34375l0 4.875l2.859375 -2.625q0.15625 -0.140625 0.328125 -0.140625q0.1875 0 0.3125 0.140625q0.140625 0.125 0.140625 0.296875q0 0.203125 -0.171875 0.359375l-2.375 2.109375l2.59375 2.265625zm4.2812805 -5.21875q0.765625 0 1.34375 0.390625q0.59375 0.375 0.921875 1.0625q0.328125 0.6875 0.328125 1.609375q0 0.90625 -0.328125 1.59375q-0.328125 0.671875 -0.90625 1.046875q-0.578125 0.359375 -1.359375 0.359375q-0.6875 0 -1.203125 -0.296875q-0.5 -0.296875 -0.765625 -0.84375l0 2.8125q0 0.21875 -0.125 0.34375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.140625q-0.125 -0.125 -0.125 -0.328125l0 -7.234375q0 -0.21875 0.125 -0.34375q0.125 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.140625q0.125 0.125 0.125 0.34375l0 0.640625q0.265625 -0.546875 0.765625 -0.84375q0.515625 -0.296875 1.203125 -0.296875zm-0.203125 5.265625q0.859375 0 1.328125 -0.578125q0.46875 -0.578125 0.46875 -1.625q0 -1.0625 -0.46875 -1.65625q-0.46875 -0.59375 -1.328125 -0.59375q-0.84375 0 -1.3125 0.578125q-0.453125 0.578125 -0.453125 1.640625q0 1.0625 0.453125 1.65625q0.46875 0.578125 1.3125 0.578125zm6.67157 0.796875q-0.828125 0 -1.46875 -0.359375q-0.625 -0.375 -0.96875 -1.0625q-0.34375 -0.703125 -0.34375 -1.609375q0 -0.90625 0.34375 -1.59375q0.34375 -0.703125 0.96875 -1.0625q0.640625 -0.375 1.46875 -0.375q0.828125 0 1.453125 0.375q0.640625 0.359375 0.984375 1.0625q0.34375 0.6875 0.34375 1.59375q0 0.90625 -0.34375 1.609375q-0.34375 0.6875 -0.984375 1.0625q-0.625 0.359375 -1.453125 0.359375zm0 -0.796875q0.859375 0 1.3125 -0.5625q0.46875 -0.578125 0.46875 -1.671875q0 -1.0625 -0.46875 -1.640625q-0.46875 -0.59375 -1.3125 -0.59375q-0.859375 0 -1.328125 0.59375q-0.46875 0.578125 -0.46875 1.640625q0 1.078125 0.453125 1.65625q0.46875 0.578125 1.34375 0.578125zm4.722534 0.78125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.234375 0.125 -0.359375q0.140625 -0.125 0.359375 -0.125q0.21875 0 0.34375 0.125q0.140625 0.125 0.140625 0.359375l0 5.0625q0 0.234375 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125zm0 -7.28125q-0.296875 0 -0.484375 -0.171875q-0.171875 -0.171875 -0.171875 -0.453125q0 -0.25 0.171875 -0.421875q0.1875 -0.171875 0.484375 -0.171875q0.28125 0 0.453125 0.171875q0.1875 0.171875 0.1875 0.421875q0 0.28125 -0.1875 0.453125q-0.171875 0.171875 -0.453125 0.171875zm5.237152 1.234375q2.09375 0 2.09375 2.3125l0 3.25q0 0.234375 -0.125 0.359375q-0.125 0.125 -0.359375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -3.1875q0 -0.8125 -0.328125 -1.1875q-0.3125 -0.375 -1.0 -0.375q-0.8125 0 -1.296875 0.5q-0.46875 0.484375 -0.46875 1.328125l0 2.921875q0 0.234375 -0.125 0.359375q-0.125 0.125 -0.359375 0.125q-0.234375 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -5.0625q0 -0.21875 0.125 -0.34375q0.125 -0.140625 0.359375 -0.140625q0.21875 0 0.34375 0.140625q0.125 0.125 0.125 0.328125l0 0.609375q0.28125 -0.53125 0.796875 -0.8125q0.53125 -0.28125 1.1875 -0.28125zm6.5660706 5.28125q0.421875 0.03125 0.421875 0.375q0 0.203125 -0.15625 0.3125q-0.140625 0.09375 -0.4375 0.078125l-0.328125 -0.03125q-0.953125 -0.0625 -1.421875 -0.5625q-0.453125 -0.515625 -0.453125 -1.53125l0 -3.015625l-0.796875 0q-0.203125 0 -0.328125 -0.09375q-0.109375 -0.109375 -0.109375 -0.28125q0 -0.171875 0.109375 -0.28125q0.125 -0.109375 0.328125 -0.109375l0.796875 0l0 -1.359375q0 -0.21875 0.125 -0.34375q0.140625 -0.140625 0.375 -0.140625q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.34375l0 1.359375l1.328125 0q0.1875 0 0.296875 0.109375q0.125 0.109375 0.125 0.28125q0 0.171875 -0.125 0.28125q-0.109375 0.09375 -0.296875 0.09375l-1.328125 0l0 3.0625q0 0.65625 0.265625 0.953125q0.265625 0.296875 0.8125 0.328125l0.3125 0.03125zm3.361267 0.78125q-0.5625 0 -1.0625 -0.125q-0.5 -0.140625 -0.875 -0.375q-0.21875 -0.140625 -0.3125 -0.265625q-0.078125 -0.125 -0.078125 -0.3125q0 -0.15625 0.078125 -0.25q0.09375 -0.109375 0.234375 -0.109375q0.15625 0 0.421875 0.1875q0.359375 0.21875 0.71875 0.34375q0.359375 0.125 0.875 0.125q0.65625 0 1.015625 -0.21875q0.359375 -0.234375 0.359375 -0.671875q0 -0.265625 -0.140625 -0.421875q-0.125 -0.171875 -0.453125 -0.296875q-0.3125 -0.125 -0.9375 -0.25q-1.0625 -0.234375 -1.515625 -0.609375q-0.453125 -0.390625 -0.453125 -1.046875q0 -0.515625 0.28125 -0.90625q0.28125 -0.40625 0.796875 -0.625q0.515625 -0.234375 1.15625 -0.234375q0.46875 0 0.90625 0.125q0.4375 0.125 0.78125 0.34375q0.40625 0.296875 0.40625 0.609375q0 0.15625 -0.09375 0.265625q-0.09375 0.109375 -0.234375 0.109375q-0.140625 0 -0.4375 -0.203125q-0.328125 -0.21875 -0.625 -0.34375q-0.296875 -0.125 -0.75 -0.125q-0.5625 0 -0.90625 0.265625q-0.34375 0.25 -0.34375 0.671875q0 0.25 0.125 0.421875q0.125 0.15625 0.421875 0.28125q0.296875 0.125 0.84375 0.25q0.828125 0.1875 1.265625 0.40625q0.453125 0.203125 0.640625 0.515625q0.203125 0.3125 0.203125 0.796875q0 0.75 -0.640625 1.21875q-0.640625 0.453125 -1.671875 0.453125z" fill-rule="nonzero"/><path fill="#000000" fill-opacity="0.0" d="m276.85565 99.34974l0 17.70874l-42.960632 0l0 17.724327" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m276.85565 99.34974l0 17.70874l-42.960632 0l0 14.297249" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m233.89502 131.35573l-1.124588 -1.124588l1.124588 3.0897675l1.1245728 -3.0897675z" fill-rule="evenodd"/><path fill="#000000" fill-opacity="0.0" d="m276.85565 99.34974l0 17.70874l49.385803 0l0 17.724327" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m276.85565 99.34974l0 17.70874l49.385803 0l0 14.297249" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m326.24146 131.35573l-1.1245728 -1.124588l1.1245728 3.0897675l1.1246033 -3.0897675z" fill-rule="evenodd"/><path fill="#c9daf8" d="m548.5407 235.66077l87.49603 0l0 30.992126l-87.49603 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m548.5407 235.66077l87.49603 0l0 30.992126l-87.49603 0z" fill-rule="evenodd"/><path fill="#000000" d="m579.47955 247.1612q0.203125 0 0.328125 0.140625q0.125 0.125 0.125 0.359375l0 7.578125q0 0.21875 -0.125 0.359375q-0.125 0.140625 -0.359375 0.140625q-0.234375 0 -0.390625 -0.203125l-4.984375 -6.65625l0 6.359375q0 0.21875 -0.125 0.359375q-0.125 0.140625 -0.34375 0.140625q-0.21875 0 -0.34375 -0.140625q-0.109375 -0.140625 -0.109375 -0.359375l0 -7.578125q0 -0.234375 0.125 -0.359375q0.125 -0.140625 0.359375 -0.140625q0.234375 0 0.40625 0.203125l4.96875 6.65625l0 -6.359375q0 -0.234375 0.125 -0.359375q0.125 -0.140625 0.34375 -0.140625zm8.868103 0q0.203125 0 0.328125 0.140625q0.125 0.125 0.125 0.359375l0 7.578125q0 0.21875 -0.125 0.359375q-0.125 0.140625 -0.359375 0.140625q-0.234375 0 -0.390625 -0.203125l-4.984375 -6.65625l0 6.359375q0 0.21875 -0.125 0.359375q-0.125 0.140625 -0.34375 0.140625q-0.21875 0 -0.34375 -0.140625q-0.109375 -0.140625 -0.109375 -0.359375l0 -7.578125q0 -0.234375 0.125 -0.359375q0.125 -0.140625 0.359375 -0.140625q0.234375 0 0.40625 0.203125l4.96875 6.65625l0 -6.359375q0 -0.234375 0.125 -0.359375q0.125 -0.140625 0.34375 -0.140625zm12.917175 7.953125q0.046875 0.09375 0.046875 0.203125q0 0.171875 -0.140625 0.296875q-0.140625 0.125 -0.328125 0.125q-0.296875 0 -0.421875 -0.296875l-0.84375 -1.9375l-4.53125 0l-0.859375 1.9375q-0.125 0.296875 -0.421875 0.296875q-0.1875 0 -0.34375 -0.125q-0.140625 -0.125 -0.140625 -0.3125q0 -0.09375 0.046875 -0.1875l3.4375 -7.640625q0.078125 -0.15625 0.21875 -0.234375q0.140625 -0.09375 0.3125 -0.09375q0.171875 0 0.3125 0.09375q0.15625 0.078125 0.21875 0.234375l3.4375 7.640625zm-5.859375 -2.421875l3.8125 0l-1.90625 -4.3125l-1.90625 4.3125zm7.78656 3.046875q-0.21875 0 -0.359375 -0.140625q-0.125 -0.140625 -0.125 -0.359375l0 -7.546875q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.375 -0.125l2.84375 0q1.328125 0 2.0625 0.65625q0.75 0.640625 0.75 1.828125q0 1.1875 -0.75 1.84375q-0.734375 0.65625 -2.0625 0.65625l-2.359375 0l0 3.03125q0 0.21875 -0.140625 0.359375q-0.125 0.140625 -0.359375 0.140625zm2.765625 -4.34375q1.9375 0 1.9375 -1.6875q0 -1.671875 -1.9375 -1.671875l-2.265625 0l0 3.359375l2.265625 0zm4.9744263 4.34375q-0.21875 0 -0.359375 -0.140625q-0.125 -0.140625 -0.125 -0.359375l0 -7.578125q0 -0.234375 0.125 -0.359375q0.140625 -0.140625 0.359375 -0.140625q0.234375 0 0.359375 0.140625q0.140625 0.125 0.140625 0.359375l0 7.578125q0 0.21875 -0.140625 0.359375q-0.125 0.140625 -0.359375 0.140625z" fill-rule="nonzero"/><path fill="#c9daf8" d="m548.5407 193.79199l87.49603 0l0 30.992126l-87.49603 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m548.5407 193.79199l87.49603 0l0 30.992126l-87.49603 0z" fill-rule="evenodd"/><path fill="#000000" d="m589.5417 213.87056q-0.28125 0 -0.484375 -0.1875q-0.1875 -0.1875 -0.1875 -0.484375q0 -0.296875 0.1875 -0.484375q0.203125 -0.203125 0.484375 -0.203125q0.28125 0 0.46875 0.203125q0.1875 0.1875 0.1875 0.484375q0 0.296875 -0.1875 0.484375q-0.1875 0.1875 -0.46875 0.1875zm2.7480469 0q-0.28125 0 -0.484375 -0.1875q-0.1875 -0.1875 -0.1875 -0.484375q0 -0.296875 0.1875 -0.484375q0.203125 -0.203125 0.484375 -0.203125q0.28125 0 0.46875 0.203125q0.1875 0.1875 0.1875 0.484375q0 0.296875 -0.1875 0.484375q-0.1875 0.1875 -0.46875 0.1875zm2.7479858 0q-0.28125 0 -0.484375 -0.1875q-0.1875 -0.1875 -0.1875 -0.484375q0 -0.296875 0.1875 -0.484375q0.203125 -0.203125 0.484375 -0.203125q0.28125 0 0.46875 0.203125q0.1875 0.1875 0.1875 0.484375q0 0.296875 -0.1875 0.484375q-0.1875 0.1875 -0.46875 0.1875z" fill-rule="nonzero"/><path fill="#000000" fill-opacity="0.0" d="m75.62294 283.52823l0 17.950958l100.62993 0l0 17.954529" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m75.62295 283.52823l0 17.950928l100.62992 0l0 14.527496" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m176.25287 316.00665l-1.124588 -1.1246033l1.124588 3.0897827l1.124588 -3.0897827z" fill-rule="evenodd"/><path fill="#000000" fill-opacity="0.0" d="m276.85654 283.52823l0 17.950958l-100.62991 0l0 17.954529" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m276.85654 283.52823l0 17.950928l-100.62991 0l0 14.527496" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m176.22662 316.00665l-1.124588 -1.1246033l1.124588 3.0897827l1.124588 -3.0897827z" fill-rule="evenodd"/><path fill="#000000" fill-opacity="0.0" d="m500.5223 334.89435l24.009003 0l0 0.06298828l24.022522 0" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m500.5223 334.89435l24.009003 0l0 0.06298828l20.595398 0" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m545.1267 334.95734l-1.1245728 1.1246033l3.0897827 -1.1246033l-3.0897827 -1.1245728z" fill-rule="evenodd"/><path fill="#000000" fill-opacity="0.0" d="m500.5223 334.89435l24.009003 0l0 -41.858246l24.022522 0" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m500.5223 334.89435l24.009003 0l0 -41.858246l20.595398 0" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m545.1267 293.0361l-1.1245728 1.1245728l3.0897827 -1.1245728l-3.0897827 -1.1246033z" fill-rule="evenodd"/><path fill="#000000" fill-opacity="0.0" d="m500.5223 334.89435l24.009003 0l0 -83.74802l24.022522 0" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m500.5223 334.89435l24.009003 0l0 -83.74802l20.595398 0" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m545.1267 251.14633l-1.1245728 1.1245728l3.0897827 -1.1245728l-3.0897827 -1.124588z" fill-rule="evenodd"/><path fill="#000000" fill-opacity="0.0" d="m500.5223 334.89435l24.009003 0l0 -125.60629l24.022522 0" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m500.5223 334.89435l24.009003 0l0 -125.60629l20.595398 0" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m545.1267 209.28806l-1.1245728 1.124588l3.0897827 -1.124588l-3.0897827 -1.124588z" fill-rule="evenodd"/><path fill="#000000" fill-opacity="0.0" d="m233.88803 165.75919l0 17.70752l42.960632 0l0 17.694061" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m233.88805 165.75919l0 17.70752l42.960617 0l0 14.266968" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m276.84866 197.73367l-1.1245728 -1.124588l1.1245728 3.0897675l1.1246033 -3.0897675z" fill-rule="evenodd"/><path fill="#000000" fill-opacity="0.0" d="m326.25156 165.75919l0 17.70752l-49.385834 0l0 17.694061" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m326.25156 165.75919l0 17.70752l-49.385834 0l0 14.266968" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m276.86572 197.73367l-1.1245728 -1.124588l1.1245728 3.0897675l1.1246033 -3.0897675z" fill-rule="evenodd"/><path fill="#d9ead3" d="m132.49171 252.53609l87.49606 0l0 30.992142l-87.49606 0z" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m132.49171 252.53609l87.49606 0l0 30.992142l-87.49606 0z" fill-rule="evenodd"/><path fill="#000000" d="m146.9475 272.6459q-0.90625 0 -1.734375 -0.265625q-0.8125 -0.265625 -1.3125 -0.734375q-0.171875 -0.15625 -0.171875 -0.40625q0 -0.171875 0.09375 -0.296875q0.09375 -0.125 0.234375 -0.125q0.15625 0 0.328125 0.125q1.109375 0.859375 2.546875 0.859375q1.03125 0 1.578125 -0.390625q0.5625 -0.390625 0.5625 -1.125q0 -0.421875 -0.265625 -0.671875q-0.265625 -0.265625 -0.703125 -0.421875q-0.4375 -0.15625 -1.15625 -0.328125q-0.984375 -0.21875 -1.625 -0.46875q-0.625 -0.265625 -1.015625 -0.734375q-0.390625 -0.46875 -0.390625 -1.21875q0 -0.71875 0.390625 -1.265625q0.390625 -0.5625 1.09375 -0.875q0.703125 -0.3125 1.59375 -0.3125q0.84375 0 1.5625 0.265625q0.734375 0.25 1.234375 0.734375q0.1875 0.1875 0.1875 0.421875q0 0.171875 -0.09375 0.296875q-0.09375 0.125 -0.234375 0.125q-0.125 0 -0.34375 -0.140625q-0.59375 -0.46875 -1.09375 -0.65625q-0.5 -0.203125 -1.21875 -0.203125q-0.984375 0 -1.546875 0.421875q-0.546875 0.40625 -0.546875 1.15625q0 0.625 0.484375 0.953125q0.484375 0.3125 1.5 0.5625q1.09375 0.25 1.71875 0.484375q0.625 0.21875 1.03125 0.671875q0.421875 0.4375 0.421875 1.171875q0 0.71875 -0.390625 1.265625q-0.390625 0.53125 -1.109375 0.828125q-0.703125 0.296875 -1.609375 0.296875zm6.9353027 -6.078125q2.203125 0 2.203125 2.296875l0 3.265625q0 0.21875 -0.125 0.359375q-0.125 0.125 -0.34375 0.125q-0.21875 0 -0.359375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -0.578125q-0.21875 0.515625 -0.6875 0.796875q-0.46875 0.28125 -1.078125 0.28125q-0.5625 0 -1.046875 -0.21875q-0.46875 -0.234375 -0.75 -0.640625q-0.265625 -0.40625 -0.265625 -0.90625q0 -0.65625 0.328125 -1.015625q0.34375 -0.375 1.109375 -0.53125q0.765625 -0.15625 2.125 -0.15625l0.265625 0l0 -0.40625q0 -0.71875 -0.296875 -1.046875q-0.28125 -0.34375 -0.953125 -0.34375q-0.8125 0 -1.65625 0.453125q-0.3125 0.203125 -0.453125 0.203125q-0.140625 0 -0.234375 -0.109375q-0.09375 -0.109375 -0.09375 -0.28125q0 -0.171875 0.09375 -0.296875q0.109375 -0.125 0.328125 -0.25q0.421875 -0.25 0.953125 -0.375q0.546875 -0.140625 1.0625 -0.140625zm-0.390625 5.296875q0.71875 0 1.171875 -0.484375q0.46875 -0.484375 0.46875 -1.25l0 -0.34375l-0.21875 0q-1.046875 0 -1.609375 0.09375q-0.546875 0.078125 -0.78125 0.296875q-0.234375 0.203125 -0.234375 0.609375q0 0.46875 0.34375 0.78125q0.34375 0.296875 0.859375 0.296875zm8.578796 -4.96875q0.140625 -0.296875 0.421875 -0.296875q0.1875 0 0.328125 0.125q0.140625 0.109375 0.140625 0.296875q0 0.109375 -0.046875 0.1875l-2.34375 5.046875q-0.0625 0.15625 -0.21875 0.25q-0.140625 0.078125 -0.3125 0.078125q-0.15625 0 -0.296875 -0.078125q-0.140625 -0.09375 -0.21875 -0.25l-2.328125 -5.046875q-0.046875 -0.078125 -0.046875 -0.171875q0 -0.1875 0.15625 -0.3125q0.15625 -0.140625 0.359375 -0.140625q0.109375 0 0.21875 0.078125q0.125 0.078125 0.1875 0.203125l2.0 4.5l2.0 -4.46875zm6.480545 4.296875q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375zm8.589676 -3.28125q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.328125l0 7.625q0 0.21875 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.234375 0 -0.359375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -0.640625q-0.265625 0.546875 -0.78125 0.84375q-0.5 0.296875 -1.1875 0.296875q-0.765625 0 -1.359375 -0.375q-0.578125 -0.390625 -0.90625 -1.078125q-0.328125 -0.6875 -0.328125 -1.59375q0 -0.90625 0.328125 -1.59375q0.328125 -0.6875 0.90625 -1.046875q0.59375 -0.375 1.359375 -0.375q0.6875 0 1.1875 0.296875q0.515625 0.296875 0.78125 0.84375l0 -3.203125q0 -0.21875 0.125 -0.34375q0.125 -0.125 0.359375 -0.125zm-2.25 7.796875q0.84375 0 1.296875 -0.578125q0.46875 -0.59375 0.46875 -1.65625q0 -1.0625 -0.46875 -1.640625q-0.453125 -0.578125 -1.296875 -0.578125q-0.859375 0 -1.34375 0.578125q-0.46875 0.578125 -0.46875 1.625q0 1.0625 0.46875 1.65625q0.484375 0.59375 1.34375 0.59375zm12.202805 -7.796875q0.21875 0 0.34375 0.140625q0.125 0.125 0.125 0.359375l0 7.59375q0 0.21875 -0.125 0.359375q-0.109375 0.125 -0.328125 0.125q-0.21875 0 -0.328125 -0.125q-0.109375 -0.140625 -0.109375 -0.359375l0 -6.125l-2.59375 4.984375q-0.171875 0.34375 -0.5 0.34375q-0.3125 0 -0.484375 -0.34375l-2.625 -4.921875l0 6.0625q0 0.21875 -0.109375 0.359375q-0.109375 0.125 -0.328125 0.125q-0.21875 0 -0.34375 -0.125q-0.109375 -0.140625 -0.109375 -0.359375l0 -7.59375q0 -0.234375 0.125 -0.359375q0.140625 -0.140625 0.359375 -0.140625q0.3125 0 0.484375 0.34375l3.046875 5.84375l3.015625 -5.84375q0.09375 -0.1875 0.203125 -0.265625q0.125 -0.078125 0.28125 -0.078125zm4.8576965 8.59375q-0.828125 0 -1.46875 -0.359375q-0.625 -0.375 -0.96875 -1.0625q-0.34375 -0.703125 -0.34375 -1.609375q0 -0.90625 0.34375 -1.59375q0.34375 -0.703125 0.96875 -1.0625q0.640625 -0.375 1.46875 -0.375q0.828125 0 1.453125 0.375q0.640625 0.359375 0.984375 1.0625q0.34375 0.6875 0.34375 1.59375q0 0.90625 -0.34375 1.609375q-0.34375 0.6875 -0.984375 1.0625q-0.625 0.359375 -1.453125 0.359375zm0 -0.796875q0.859375 0 1.3125 -0.5625q0.46875 -0.578125 0.46875 -1.671875q0 -1.0625 -0.46875 -1.640625q-0.46875 -0.59375 -1.3125 -0.59375q-0.859375 0 -1.328125 0.59375q-0.46875 0.578125 -0.46875 1.640625q0 1.078125 0.453125 1.65625q0.46875 0.578125 1.34375 0.578125zm8.925674 -7.796875q0.21875 0 0.34375 0.140625q0.140625 0.125 0.140625 0.328125l0 7.625q0 0.21875 -0.140625 0.359375q-0.125 0.125 -0.34375 0.125q-0.234375 0 -0.359375 -0.125q-0.125 -0.140625 -0.125 -0.359375l0 -0.640625q-0.265625 0.546875 -0.78125 0.84375q-0.5 0.296875 -1.1875 0.296875q-0.765625 0 -1.359375 -0.375q-0.578125 -0.390625 -0.90625 -1.078125q-0.328125 -0.6875 -0.328125 -1.59375q0 -0.90625 0.328125 -1.59375q0.328125 -0.6875 0.90625 -1.046875q0.59375 -0.375 1.359375 -0.375q0.6875 0 1.1875 0.296875q0.515625 0.296875 0.78125 0.84375l0 -3.203125q0 -0.21875 0.125 -0.34375q0.125 -0.125 0.359375 -0.125zm-2.25 7.796875q0.84375 0 1.296875 -0.578125q0.46875 -0.59375 0.46875 -1.65625q0 -1.0625 -0.46875 -1.640625q-0.453125 -0.578125 -1.296875 -0.578125q-0.859375 0 -1.34375 0.578125q-0.46875 0.578125 -0.46875 1.625q0 1.0625 0.46875 1.65625q0.484375 0.59375 1.34375 0.59375zm9.06218 -0.640625q0.140625 0 0.234375 0.109375q0.09375 0.109375 0.09375 0.28125q0 0.296875 -0.421875 0.546875q-0.4375 0.25 -0.921875 0.375q-0.46875 0.125 -0.921875 0.125q-1.359375 0 -2.15625 -0.796875q-0.78125 -0.8125 -0.78125 -2.21875q0 -0.90625 0.34375 -1.59375q0.359375 -0.6875 0.984375 -1.0625q0.640625 -0.390625 1.4375 -0.390625q1.140625 0 1.8125 0.75q0.671875 0.734375 0.671875 2.0q0 0.25 -0.09375 0.359375q-0.09375 0.109375 -0.3125 0.109375l-3.859375 0q0.09375 2.0625 1.953125 2.0625q0.46875 0 0.796875 -0.125q0.34375 -0.125 0.71875 -0.34375q0.3125 -0.1875 0.421875 -0.1875zm-2.09375 -3.875q-0.765625 0 -1.234375 0.484375q-0.46875 0.484375 -0.546875 1.359375l3.390625 0q-0.015625 -0.890625 -0.4375 -1.359375q-0.421875 -0.484375 -1.171875 -0.484375zm4.386551 5.296875q-0.21875 0 -0.359375 -0.125q-0.125 -0.125 -0.125 -0.359375l0 -7.625q0 -0.21875 0.125 -0.34375q0.140625 -0.125 0.359375 -0.125q0.203125 0 0.34375 0.125q0.140625 0.125 0.140625 0.34375l0 7.625q0 0.234375 -0.140625 0.359375q-0.140625 0.125 -0.34375 0.125z" fill-rule="nonzero"/><path fill="#000000" fill-opacity="0.0" d="m176.23885 99.34974l0 153.19684" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m176.23885 99.34974l0 149.76978" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m176.23885 249.1195l-1.124588 -1.124588l1.124588 3.0897675l1.124588 -3.0897675z" fill-rule="evenodd"/><path fill="#000000" fill-opacity="0.0" d="m176.23975 283.52823l0 17.950958l0.06298828 0l0 17.954529" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m176.23975 283.52823l0 17.950928l0.06298828 0l0 14.527496" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m176.30273 316.00665l-1.1245728 -1.1246033l1.1245728 3.0897827l1.124588 -3.0897827z" fill-rule="evenodd"/><path fill="#000000" fill-opacity="0.0" d="m75.62205 99.34843l0 153.19684" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m75.62205 99.34843l0 149.76978" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m75.62205 249.1182l-1.1245804 -1.124588l1.1245804 3.0897675l1.1245804 -3.0897675z" fill-rule="evenodd"/><path fill="#000000" fill-opacity="0.0" d="m99.50131 100.0l0 76.0l54.992126 0l0 76.0" fill-rule="evenodd"/><path stroke="#000000" stroke-width="1.0" stroke-linejoin="round" stroke-linecap="butt" d="m99.50131 100.0l0 76.0l54.992126 0l0 72.57292" fill-rule="evenodd"/><path fill="#000000" stroke="#000000" stroke-width="1.0" stroke-linecap="butt" d="m154.49344 248.5729l-1.124588 -1.1245728l1.124588 3.0897675l1.124588 -3.0897675z" fill-rule="evenodd"/></g></svg>
\ No newline at end of file |
