Merge pull request #161 from henk717/united

Release 1.19
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henk717 2022-10-04 15:57:47 +02:00 committed by GitHub
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57 changed files with 22221 additions and 1490 deletions

1
.gitattributes vendored
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@ -1,2 +1,3 @@
*.min.lua linguist-vendored
*documentation.html linguist-vendored
/static/swagger-ui/* linguist-vendored

3
.gitignore vendored
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@ -15,6 +15,7 @@ bin
__pycache__
*.log
cache
accelerate-disk-cache
userscripts
!userscripts/examples
!userscripts/kaipreset_*.lua
@ -24,6 +25,8 @@ softprompts
models
!models/models go here.txt
Uninstall
flask_session
accelerate-disk-cache
.ipynb_checkpoints
# Ignore PyCharm project files.

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@ -4,7 +4,7 @@ https://github.com/arrmansa/Basic-UI-for-GPT-J-6B-with-low-vram/blob/main/GPT-J-
The ORIGINAL version of the patch is released under the Apache License 2.0
Copyright 2021 arrmansa
Copyright 2021 finetuneanon
Copyright 2018 The Hugging Face team
Copyright 2018, 2022 The Hugging Face team
Apache License
@ -216,11 +216,13 @@ from torch import nn
import torch.cuda.comm
import copy
import gc
import os
import sys
import itertools
import bisect
import random
from typing import Optional
import utils
from typing import Dict, List, Optional, Union
from transformers.modeling_outputs import BaseModelOutputWithPast, BaseModelOutputWithPastAndCrossAttentions
@ -230,7 +232,100 @@ logger = logging.get_logger(__name__)
breakmodel = True
gpu_blocks = []
primary_device = 0
disk_blocks = 0
primary_device = 0 if torch.cuda.device_count() > 0 else "cpu"
if utils.HAS_ACCELERATE:
from accelerate.hooks import attach_align_device_hook_on_blocks
from accelerate.utils import OffloadedWeightsLoader, check_device_map, extract_submodules_state_dict, offload_state_dict
from accelerate import dispatch_model
def dispatch_model_ex(
model: nn.Module,
device_map: Dict[str, Union[str, int, torch.device]],
main_device: Optional[torch.device] = None,
state_dict: Optional[Dict[str, torch.Tensor]] = None,
offload_dir: Union[str, os.PathLike] = None,
offload_buffers: bool = False,
**kwargs,
):
"""
This is a modified version of
https://github.com/huggingface/accelerate/blob/eeaba598f455fbd2c48661d7e816d3ff25ab050b/src/accelerate/big_modeling.py#L130
that still works when the main device is the CPU.
Dispatches a model according to a given device map. Layers of the model might be spread across GPUs, offloaded on
the CPU or even the disk.
Args:
model (`torch.nn.Module`):
The model to dispatch.
device_map (`Dict[str, Union[str, int, torch.device]]`):
A dictionary mapping module names in the models `state_dict` to the device they should go to. Note that
`"disk"` is accepted even if it's not a proper value for `torch.device`.
main_device (`str`, `int` or `torch.device`, *optional*):
The main execution device. Will default to the first device in the `device_map` different from `"cpu"` or
`"disk"`.
state_dict (`Dict[str, torch.Tensor]`, *optional*):
The state dict of the part of the model that will be kept on CPU.
offload_dir (`str` or `os.PathLike`):
The folder in which to offload the model weights (or where the model weights are already offloaded).
offload_buffers (`bool`, *optional*, defaults to `False`):
Whether or not to offload the buffers with the model parameters.
preload_module_classes (`List[str]`, *optional*):
A list of classes whose instances should load all their weights (even in the submodules) at the beginning
of the forward. This should only be used for classes that have submodules which are registered but not
called directly during the forward, for instance if a `dense` linear layer is registered, but at forward,
`dense.weight` and `dense.bias` are used in some operations instead of calling `dense` directly.
"""
if main_device != "cpu":
return dispatch_model(model, device_map, main_device, state_dict, offload_dir=offload_dir, offload_buffers=offload_buffers, **kwargs)
# Error early if the device map is incomplete.
check_device_map(model, device_map)
offload_devices = ["cpu", "disk"] if main_device != "cpu" else ["disk"]
if main_device is None:
main_device = [d for d in device_map.values() if d not in offload_devices][0]
cpu_modules = [name for name, device in device_map.items() if device == "cpu"] if main_device != "cpu" else []
if state_dict is None and len(cpu_modules) > 0:
state_dict = extract_submodules_state_dict(model.state_dict(), cpu_modules)
disk_modules = [name for name, device in device_map.items() if device == "disk"]
if offload_dir is None and len(disk_modules) > 0:
raise ValueError(
"We need an `offload_dir` to dispatch this model according to this `device_map`, the following submodules "
f"need to be offloaded: {', '.join(disk_modules)}."
)
if len(disk_modules) > 0 and (
not os.path.isdir(offload_dir) or not os.path.isfile(os.path.join(offload_dir, "index.json"))
):
disk_state_dict = extract_submodules_state_dict(model.state_dict(), disk_modules)
offload_state_dict(offload_dir, disk_state_dict)
execution_device = {
name: main_device if device in offload_devices else device for name, device in device_map.items()
}
offload = {name: device in offload_devices for name, device in device_map.items()}
save_folder = offload_dir if len(disk_modules) > 0 else None
if state_dict is not None or save_folder is not None:
weights_map = OffloadedWeightsLoader(state_dict=state_dict, save_folder=save_folder)
else:
weights_map = None
attach_align_device_hook_on_blocks(
model,
execution_device=execution_device,
offload=offload,
offload_buffers=offload_buffers,
weights_map=weights_map,
**kwargs,
)
model.hf_device_map = device_map
return model
# Copied from transformers.models.bart.modeling_bart._expand_mask

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@ -0,0 +1 @@
{"aria2_port":null, "breakmodel":null, "breakmodel_disklayers":null, "breakmodel_gpulayers":null, "breakmodel_layers":null, "colab":null, "configname":null, "cpu":null, "host":null, "localtunnel":null, "lowmem":null, "model":null, "ngrok":null, "no_aria2":null, "noaimenu":null, "nobreakmodel":null, "override_delete":null, "override_rename":null, "path":null, "port":null, "quiet":null, "remote":null, "revision":null, "savemodel":null, "unblock":null}

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@ -0,0 +1,8 @@
FROM debian
RUN apt update && apt install wget aria2 git bzip2 -y
RUN git clone https://github.com/henk717/koboldai /opt/koboldai
WORKDIR /opt/koboldai
RUN ./install_requirements.sh cuda
COPY docker-helper.sh /opt/koboldai/docker-helper.sh
EXPOSE 5000/tcp
CMD /opt/koboldai/docker-helper.sh

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@ -0,0 +1,17 @@
These are the source files for the official versions of the standalone docker and are provided for completeness.
Using these files you will not use any of the local modifications you make, instead it will use the latest github version of KoboldAI as the basis.
If you wish to run KoboldAI containerised with access to the local directory you can do so using docker-cuda.sh or docker-rocm.sh instead.
We do not support ROCm in the standalone docker as it is intended for cloud deployment on CUDA systems.
If you wish to build a ROCm version instead, you can do so by modifying the Dockerfile and changing the install_requirements.sh from cuda to rocm.
Similarly you need to modify the Dockerfile to specify which branch of KoboldAI the docker is being built for.
Usage:
This docker will automatically assume the persistent volume is mounted to /content and will by default not store models there.
The following environment variables exist to adjust the behavior if desired.
KOBOLDAI_DATADIR=/content , this can be used to specify a different default location for your stories, settings, userscripts, etc in case your provider does not let you change the mounted folder path.
KOBOLDAI_MODELDIR= , This variable can be used to make model storage persistent, it can be the same location as your datadir but this is not required.
KOBOLDAI_ARGS= , This variable is built in KoboldAI and can be used to override the default launch options. Right now the docker by default will launch in remote mode, with output hidden from the logs and file management enabled.

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@ -0,0 +1,47 @@
#!/bin/bash
cd /opt/koboldai
git pull
#./install_requirements.sh cuda
if [[ ! -v KOBOLDAI_DATADIR ]];then
mkdir /content
KOBOLDAI_DATADIR=/content
fi
mkdir $KOBOLDAI_DATADIR/stories
if [[ ! -v KOBOLDAI_MODELDIR ]];then
mkdir $KOBOLDAI_MODELDIR/models
fi
mkdir $KOBOLDAI_DATADIR/settings
mkdir $KOBOLDAI_DATADIR/softprompts
mkdir $KOBOLDAI_DATADIR/userscripts
#mkdir $KOBOLDAI_MODELDIR/cache
cp -rn stories/* $KOBOLDAI_DATADIR/stories/
cp -rn userscripts/* $KOBOLDAI_DATADIR/userscripts/
cp -rn softprompts/* $KOBOLDAI_DATADIR/softprompts/
rm stories
rm -rf stories/
rm userscripts
rm -rf userscripts/
rm softprompts
rm -rf softprompts/
if [[ ! -v KOBOLDAI_MODELDIR ]];then
rm models
rm -rf models/
#rm cache
#rm -rf cache/
fi
ln -s $KOBOLDAI_DATADIR/stories/ stories
ln -s $KOBOLDAI_DATADIR/settings/ settings
ln -s $KOBOLDAI_DATADIR/softprompts/ softprompts
ln -s $KOBOLDAI_DATADIR/userscripts/ userscripts
if [[ ! -v KOBOLDAI_MODELDIR ]];then
ln -s $KOBOLDAI_MODELDIR/models/ models
#ln -s $KOBOLDAI_MODELDIR/cache/ cache
fi
PYTHONUNBUFFERED=1 ./play.sh --remote --quiet --override_delete --override_rename

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@ -6,6 +6,7 @@ channels:
dependencies:
- colorama
- flask-socketio
- flask-session
- pytorch
- cudatoolkit=11.1
- tensorflow-gpu
@ -15,6 +16,9 @@ dependencies:
- bleach=4.1.0
- pip
- git=2.35.1
- marshmallow>=3.13
- apispec-webframeworks
- loguru
- pip:
- git+https://github.com/finetuneanon/transformers@gpt-neo-localattention3-rp-b
- flask-cloudflared

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@ -6,6 +6,7 @@ channels:
dependencies:
- colorama
- flask-socketio
- flask-session
- pytorch=1.11.*
- python=3.8.*
- cudatoolkit=11.1
@ -16,9 +17,12 @@ dependencies:
- git=2.35.1
- sentencepiece
- protobuf
- marshmallow>=3.13
- apispec-webframeworks
- loguru
- pip:
- flask-cloudflared
- flask-ngrok
- lupa==1.10
- transformers>=4.20.1
- accelerate
- accelerate

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@ -5,12 +5,16 @@ channels:
dependencies:
- colorama
- flask-socketio
- flask-session
- python=3.8.*
- eventlet
- markdown
- bleach=4.1.0
- pip
- git=2.35.1
- marshmallow>=3.13
- apispec-webframeworks
- loguru
- pip:
- --find-links https://download.pytorch.org/whl/rocm4.2/torch_stable.html
- torch

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@ -5,6 +5,7 @@ channels:
dependencies:
- colorama
- flask-socketio
- flask-session
- python=3.8.*
- eventlet
- markdown
@ -13,9 +14,12 @@ dependencies:
- git=2.35.1
- sentencepiece
- protobuf
- marshmallow>=3.13
- apispec-webframeworks
- loguru
- pip:
- --find-links https://download.pytorch.org/whl/rocm4.2/torch_stable.html
- torch==1.10.*
- --extra-index-url https://download.pytorch.org/whl/rocm5.1.1
- torch
- torchvision
- flask-cloudflared
- flask-ngrok

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@ -3,6 +3,7 @@ from typing import Tuple, Union, Optional
import os
import json
import zipfile
from logger import logger
#==================================================================#
# Generic Method for prompting for file path
@ -149,16 +150,16 @@ def getspfiles(model_dimension: int):
continue
z, version, shape, fortran_order, dtype = checksp(file, model_dimension)
if z == 1:
print(f"Browser SP loading error: {file} is malformed or not a soft prompt ZIP file.")
logger.warning(f"Softprompt {file} is malformed or not a soft prompt ZIP file.")
continue
if z == 2:
print(f"Browser SP loading error: {file} tensor.npy has unsupported dtype '{dtype.name}'.")
logger.warning(f"Softprompt {file} tensor.npy has unsupported dtype '{dtype.name}'.")
continue
if z == 3:
print(f"Browser SP loading error: {file} tensor.npy has model dimension {shape[1]} which does not match your model's model dimension of {model_dimension}. This usually means this soft prompt is not compatible with your model.")
logger.debug(f"Softprompt {file} tensor.npy has model dimension {shape[1]} which does not match your model's model dimension of {model_dimension}. This usually means this soft prompt is not compatible with your model.")
continue
if z == 4:
print(f"Browser SP loading error: {file} tensor.npy has {shape[0]} tokens but it is supposed to have less than 2048 tokens.")
logger.warning(f"Softprompt {file} tensor.npy has {shape[0]} tokens but it is supposed to have less than 2048 tokens.")
continue
assert isinstance(z, zipfile.ZipFile)
try:

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@ -230,6 +230,50 @@ gensettingstf = [
"default": 0,
"tooltip": "Disables userscript generation modifiers."
},
{
"uitype": "toggle",
"unit": "bool",
"label": "Full Determinism",
"id": "setfulldeterminism",
"min": 0,
"max": 1,
"step": 1,
"default": 0,
"tooltip": "Causes generation to be fully deterministic -- the model will always output the same thing as long as your story, settings and RNG seed are the same. If this is off, only the sequence of outputs that the model makes will be deterministic."
},
{
"uitype": "toggle",
"unit": "bool",
"label": "Token Streaming",
"id": "setoutputstreaming",
"min": 0,
"max": 1,
"step": 1,
"default": 0,
"tooltip": "Shows outputs to you as they are made. Does not work with more than one gens per action."
},
{
"uitype": "toggle",
"unit": "bool",
"label": "Probability Viewer",
"id": "setshowprobs",
"min": 0,
"max": 1,
"step": 1,
"default": 0,
"tooltip": "Shows token selection probabilities. Does not work with more than one gens per action."
},
{
"uitype": "toggle",
"unit": "bool",
"label": "Show Field Budget",
"id": "setshowbudget",
"min": 0,
"max": 1,
"step": 1,
"default": 0,
"tooltip": "Shows token usage when typing in relevant text boxes. <b>May lag slower devices.</b>"
},
{
"uitype": "toggle",
"unit": "bool",
@ -240,7 +284,7 @@ gensettingstf = [
"step": 1,
"default": 0,
"tooltip": "Show debug info"
}
},
]
gensettingsik =[{
@ -404,9 +448,9 @@ formatcontrols = [{
"tooltip": "Remove special characters (@,#,%,^, etc)"
},
{
"label": "Add sentence spacing",
"label": "Automatic spacing",
"id": "frmtadsnsp",
"tooltip": "If the last action ended with punctuation, add a space to the beginning of the next action."
"tooltip": "Add spaces automatically if needed"
},
{
"label": "Single Line",

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logger.py Normal file
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@ -0,0 +1,99 @@
import sys
from functools import partialmethod
from loguru import logger
STDOUT_LEVELS = ["GENERATION", "PROMPT"]
INIT_LEVELS = ["INIT", "INIT_OK", "INIT_WARN", "INIT_ERR"]
MESSAGE_LEVELS = ["MESSAGE"]
# By default we're at error level or higher
verbosity = 20
quiet = 0
def set_logger_verbosity(count):
global verbosity
# The count comes reversed. So count = 0 means minimum verbosity
# While count 5 means maximum verbosity
# So the more count we have, the lowe we drop the versbosity maximum
verbosity = 20 - (count * 10)
def quiesce_logger(count):
global quiet
# The bigger the count, the more silent we want our logger
quiet = count * 10
def is_stdout_log(record):
if record["level"].name not in STDOUT_LEVELS:
return(False)
if record["level"].no < verbosity + quiet:
return(False)
return(True)
def is_init_log(record):
if record["level"].name not in INIT_LEVELS:
return(False)
if record["level"].no < verbosity + quiet:
return(False)
return(True)
def is_msg_log(record):
if record["level"].name not in MESSAGE_LEVELS:
return(False)
if record["level"].no < verbosity + quiet:
return(False)
return(True)
def is_stderr_log(record):
if record["level"].name in STDOUT_LEVELS + INIT_LEVELS + MESSAGE_LEVELS:
return(False)
if record["level"].no < verbosity + quiet:
return(False)
return(True)
def test_logger():
logger.generation("This is a generation message\nIt is typically multiline\nThee Lines".encode("unicode_escape").decode("utf-8"))
logger.prompt("This is a prompt message")
logger.debug("Debug Message")
logger.info("Info Message")
logger.warning("Info Warning")
logger.error("Error Message")
logger.critical("Critical Message")
logger.init("This is an init message", status="Starting")
logger.init_ok("This is an init message", status="OK")
logger.init_warn("This is an init message", status="Warning")
logger.init_err("This is an init message", status="Error")
logger.message("This is user message")
sys.exit()
logfmt = "<level>{level: <10}</level> | <green>{name}</green>:<green>{function}</green>:<green>{line}</green> - <level>{message}</level>"
genfmt = "<level>{level: <10}</level> @ <green>{time:YYYY-MM-DD HH:mm:ss}</green> | <level>{message}</level>"
initfmt = "<magenta>INIT </magenta> | <level>{extra[status]: <10}</level> | <magenta>{message}</magenta>"
msgfmt = "<level>{level: <10}</level> | <level>{message}</level>"
logger.level("GENERATION", no=24, color="<cyan>")
logger.level("PROMPT", no=23, color="<yellow>")
logger.level("INIT", no=31, color="<white>")
logger.level("INIT_OK", no=31, color="<green>")
logger.level("INIT_WARN", no=31, color="<yellow>")
logger.level("INIT_ERR", no=31, color="<red>")
# Messages contain important information without which this application might not be able to be used
# As such, they have the highest priority
logger.level("MESSAGE", no=61, color="<green>")
logger.__class__.generation = partialmethod(logger.__class__.log, "GENERATION")
logger.__class__.prompt = partialmethod(logger.__class__.log, "PROMPT")
logger.__class__.init = partialmethod(logger.__class__.log, "INIT")
logger.__class__.init_ok = partialmethod(logger.__class__.log, "INIT_OK")
logger.__class__.init_warn = partialmethod(logger.__class__.log, "INIT_WARN")
logger.__class__.init_err = partialmethod(logger.__class__.log, "INIT_ERR")
logger.__class__.message = partialmethod(logger.__class__.log, "MESSAGE")
config = {
"handlers": [
{"sink": sys.stderr, "format": logfmt, "colorize":True, "filter": is_stderr_log},
{"sink": sys.stdout, "format": genfmt, "level": "PROMPT", "colorize":True, "filter": is_stdout_log},
{"sink": sys.stdout, "format": initfmt, "level": "INIT", "colorize":True, "filter": is_init_log},
{"sink": sys.stdout, "format": msgfmt, "level": "MESSAGE", "colorize":True, "filter": is_msg_log}
],
}
logger.configure(**config)

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maps/bloom.json Normal file
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@ -0,0 +1,30 @@
{
"mtj_compat": "bloom",
"mtj_pe": "alibi",
"mtj_config_map": {
"d_model": "n_embed",
"n_heads": "num_attention_heads",
"layers": "n_layer"
},
"static_weights": {
"word_embeddings.weight": {"mtj": {"module": "embedding_shard/~/linear", "param": "w", "transforms": ["no_transpose", "vocab_pad"]}},
"word_embeddings_layernorm.weight": {"mtj": {"module": "embedding_shard/~/replicated_layer_norm", "param": "scale"}},
"word_embeddings_layernorm.bias": {"mtj": {"module": "embedding_shard/~/replicated_layer_norm", "param": "offset"}},
"ln_f.weight": {"mtj": {"module": "projection_shard/~/replicated_layer_norm", "param": "scale"}},
"ln_f.bias": {"mtj": {"module": "projection_shard/~/replicated_layer_norm", "param": "offset"}}
},
"layer_weights": {
"h.{layer}.self_attention.query_key_value.weight": {"mtj": {"module": "layer_{layer}/~/combined_qkv", "param": "w"}},
"h.{layer}.self_attention.query_key_value.bias": {"mtj": {"module": "layer_{layer}/~/combined_qkv", "param": "b"}},
"h.{layer}.self_attention.dense.weight": {"mtj": {"module": "layer_{layer}/~/linear_3", "param": "w"}},
"h.{layer}.self_attention.dense.bias": {"mtj": {"module": "layer_{layer}/~/linear_3", "param": "b", "transforms": ["divide_by_shards"]}},
"h.{layer}.mlp.dense_h_to_4h.weight": {"mtj": {"module": "layer_{layer}/~/linear_4", "param": "w"}},
"h.{layer}.mlp.dense_h_to_4h.bias": {"mtj": {"module": "layer_{layer}/~/linear_4", "param": "b"}},
"h.{layer}.mlp.dense_4h_to_h.weight": {"mtj": {"module": "layer_{layer}/~/linear_5", "param": "w"}},
"h.{layer}.mlp.dense_4h_to_h.bias": {"mtj": {"module": "layer_{layer}/~/linear_5", "param": "b", "transforms": ["divide_by_shards"]}},
"h.{layer}.input_layernorm.weight": {"mtj": {"module": "layer_{layer}/~/replicated_layer_norm", "param": "scale"}},
"h.{layer}.input_layernorm.bias": {"mtj": {"module": "layer_{layer}/~/replicated_layer_norm", "param": "offset"}},
"h.{layer}.post_attention_layernorm.weight": {"mtj": {"module": "layer_{layer}/~/replicated_layer_norm_1", "param": "scale"}},
"h.{layer}.post_attention_layernorm.bias": {"mtj": {"module": "layer_{layer}/~/replicated_layer_norm_1", "param": "offset"}}
}
}

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pytest.ini Normal file
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@ -0,0 +1,2 @@
[pytest]
addopts = --ignore=miniconda3 --ignore=runtime --html=unit_test_report.html --self-contained-html -v

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@ -50,30 +50,35 @@ Each edition features different models and requires different hardware to run, t
## [TPU Edition Model Descriptions](https://colab.research.google.com/github/KoboldAI/KoboldAI-Client/blob/main/colab/TPU.ipynb)
| Model | Size | Style | Description |
| --- | --- | --- | --- |
| [Nerys](https://huggingface.co/KoboldAI/fairseq-dense-13B-Nerys) by Mr Seeker | 13B | Novel/Adventure | Nerys is a hybrid model based on Pike (A newer Janeway), on top of the Pike dataset you also get some Light Novels, Adventure mode support and a little bit of Shinen thrown in the mix. The end result is a very diverse model that is heavily biased towards SFW novel writing, but one that can go beyond its novel training and make for an excellent adventure model to. Adventure mode is best played from a second person perspective, but can be played in first or third person as well. Novel writing can be done best from the first or third person. |
| [Janeway](https://huggingface.co/KoboldAI/fairseq-dense-13B-Janeway) by Mr Seeker | 13B | Novel | Janeway is a model created from Picard's dataset combined with a brand new collection of ebooks. This model is trained on 20% more content than Picard and has been trained on literature from various genres. Although the model is mainly focussed on SFW, romantic scenes might involve a degree of nudity. |
| [Shinen](https://huggingface.co/KoboldAI/fairseq-dense-13B-Shinen) by Mr Seeker | 13B | NSFW | Shinen is an NSFW model designed to be more explicit. Trained on a variety of stories from the website Sexstories it contains many different kinks. |
| [Skein](https://huggingface.co/KoboldAI/GPT-J-6B-Skein) by VE\_FORBRYDERNE | 6B | Adventure | Skein is best used with Adventure mode enabled, it consists of a 4 times larger adventure dataset than the Adventure model making it excellent for text adventure gaming. On top of that it also consists of light novel training further expanding its knowledge and writing capabilities. It can be used with the You filter bias if you wish to write Novels with it, but dedicated Novel models can perform better for this task. |
| [Adventure](https://huggingface.co/KoboldAI/GPT-J-6B-Adventure) by VE\_FORBRYDERNE | 6B | Adventure | Adventure is a 6B model designed to mimick the behavior of AI Dungeon. It is exclusively for Adventure Mode and can take you on the epic and wackey adventures that AI Dungeon players love. It also features the many tropes of AI Dungeon as it has been trained on very similar data. It must be used in second person (You). |
| [Lit](https://huggingface.co/hakurei/lit-6B) by Haru | 6B | NSFW | Lit is a great NSFW model trained by Haru on both a large set of Literotica stories and high quality novels along with tagging support. Creating a high quality model for your NSFW stories. This model is exclusively a novel model and is best used in third person. |
| Neo(X) by EleutherAI | 20B | Generic | NeoX is the largest EleutherAI model currently available, being a generic model it is not particularly trained towards anything and can do a variety of writing, Q&A and coding tasks. 20B's performance is closely compared to the 13B models and it is worth trying both especially if you have a task that does not involve english writing. Its behavior will be similar to the GPT-J-6B model since they are trained on the same dataset but with more sensitivity towards repetition penalty and with more knowledge. |
| [Fairseq Dense](https://huggingface.co/KoboldAI/fairseq-dense-13B) | 13B | Generic | Trained by Facebook Researchers this model stems from the MOE research project within Fairseq. This particular version has been converted by us for use in KoboldAI. It is known to be on par with the larger 20B model from EleutherAI and considered as better for pop culture and language tasks. Because the model has never seen a new line (enter) it may perform worse on formatting and paragraphing. |
| [GPT-J-6B](https://huggingface.co/EleutherAI/gpt-j-6B) by EleutherAI | 6B | Generic | This model serves as the basis for most other 6B models (Some being based on Fairseq Dense instead). Being trained on the Pile and not biased towards anything in particular it is suitable for a variety of tasks such as writing, Q&A and coding tasks. You will likely get better result with larger generic models or finetuned models. |
| Model | Style | Description |
| --- | --- | --- |
| [Nerys](https://huggingface.co/KoboldAI/fairseq-dense-13B-Nerys) by Mr Seeker | Novel/Adventure | Nerys is a hybrid model based on Pike (A newer Janeway), on top of the Pike dataset you also get some Light Novels, Adventure mode support and a little bit of Shinen thrown in the mix. The end result is a very diverse model that is heavily biased towards SFW novel writing, but one that can go beyond its novel training and make for an excellent adventure model to. Adventure mode is best played from a second person perspective, but can be played in first or third person as well. Novel writing can be done best from the first or third person. |
| [Erebus](https://huggingface.co/KoboldAI/OPT-13B-Erebus) by Mr Seeker | NSFW | Erebus is our community's flagship NSFW model, being a combination of multiple large datasets that include Literotica, Shinen and erotic novels from Nerys and featuring thourough tagging support it covers the vast majority of erotic writing styles. This model is capable of replacing both the Lit and Shinen models in terms of content and style and has been well received as (one of) the best NSFW models out there. If you wish to use this model for commercial or non research usage we recommend choosing the 20B version as that one is not subject to the restrictive OPT license. |
| [Janeway](https://huggingface.co/KoboldAI/fairseq-dense-13B-Janeway) by Mr Seeker | Novel | Janeway is a model created from Picard's dataset combined with a brand new collection of ebooks. This model is trained on 20% more content than Picard and has been trained on literature from various genres. Although the model is mainly focussed on SFW, romantic scenes might involve a degree of nudity. |
| [Shinen](https://huggingface.co/KoboldAI/fairseq-dense-13B-Shinen) by Mr Seeker | NSFW | Shinen is an NSFW model trained on a variety of stories from the website Sexstories it contains many different kinks. It has been merged into the larger (and better) Erebus model. |
| [Skein](https://huggingface.co/KoboldAI/GPT-J-6B-Skein) by VE\_FORBRYDERNE | Adventure | Skein is best used with Adventure mode enabled, it consists of a 4 times larger adventure dataset than the Adventure model making it excellent for text adventure gaming. On top of that it also consists of light novel training further expanding its knowledge and writing capabilities. It can be used with the You filter bias if you wish to write Novels with it, but dedicated Novel models can perform better for this task. |
| [Adventure](https://huggingface.co/KoboldAI/GPT-J-6B-Adventure) by VE\_FORBRYDERNE | Adventure | Adventure is a 6B model designed to mimick the behavior of AI Dungeon. It is exclusively for Adventure Mode and can take you on the epic and wackey adventures that AI Dungeon players love. It also features the many tropes of AI Dungeon as it has been trained on very similar data. It must be used in second person (You). |
| [Lit](https://huggingface.co/hakurei/lit-6B) ([V2](https://huggingface.co/hakurei/litv2-6B-rev3)) by Haru | NSFW | Lit is a great NSFW model trained by Haru on both a large set of Literotica stories and high quality novels along with tagging support. Creating a high quality model for your NSFW stories. This model is exclusively a novel model and is best used in third person. |
| [OPT](https://huggingface.co/facebook/opt-13b) by Metaseq | Generic | OPT is considered one of the best base models as far as content goes, its behavior has the strengths of both GPT-Neo and Fairseq Dense. Compared to Neo duplicate and unnecessary content has been left out, while additional literature was added in similar to the Fairseq Dense model. The Fairseq Dense model however lacks the broader data that OPT does have. The biggest downfall of OPT is its license, which prohibits any commercial usage, or usage beyond research purposes. |
| [Neo(X)](https://huggingface.co/EleutherAI/gpt-neox-20b) by EleutherAI | Generic | NeoX is the largest EleutherAI model currently available, being a generic model it is not particularly trained towards anything and can do a variety of writing, Q&A and coding tasks. 20B's performance is closely compared to the 13B models and it is worth trying both especially if you have a task that does not involve english writing. Its behavior will be similar to the GPT-J-6B model since they are trained on the same dataset but with more sensitivity towards repetition penalty and with more knowledge. |
| [Fairseq Dense](https://huggingface.co/KoboldAI/fairseq-dense-13B) | Generic | Trained by Facebook Researchers this model stems from the MOE research project within Fairseq. This particular version has been converted by us for use in KoboldAI. It is known to be on par with the larger 20B model from EleutherAI and considered as better for pop culture and language tasks. Because the model has never seen a new line (enter) it may perform worse on formatting and paragraphing. Compared to other models the dataset focuses primarily on literature and contains little else. |
| [GPT-J-6B](https://huggingface.co/EleutherAI/gpt-j-6B) by EleutherAI | Generic | This model serves as the basis for most other 6B models (Some being based on Fairseq Dense instead). Being trained on the Pile and not biased towards anything in particular it is suitable for a variety of tasks such as writing, Q&A and coding tasks. You will likely get better result with larger generic models or finetuned models. |
## [GPU Edition Model Descriptions](https://colab.research.google.com/github/KoboldAI/KoboldAI-Client/blob/main/colab/GPU.ipynb)
| Model | Size | Style | Description |
| --- | --- | --- | --- |
| [Nerys 2.7B](https://huggingface.co/KoboldAI/fairseq-dense-2.7B-Nerys) by Mr Seeker | 2.7B | Novel/Adventure | Nerys is a hybrid model based on Pike (A newer Janeway), on top of the Pike dataset you also get some Light Novels, Adventure mode support and a little bit of Shinen thrown in the mix. The end result is a very diverse model that is heavily biased towards SFW novel writing, but one that can go beyond its novel training and make for an excellent adventure model to. Adventure mode is best played from a second person perspective, but can be played in first or third person as well. Novel writing can be done best from the first or third person. |
| [Janeway 2.7B](https://huggingface.co/KoboldAI/GPT-Neo-2.7B-Janeway) by Mr Seeker | 2.7B | Novel | Janeway is a model created from Picard's dataset combined with a brand new collection of ebooks. This model is trained on 20% more content than Picard and has been trained on literature from various genres. Although the model is mainly focussed on SFW, romantic scenes might involve a degree of nudity. |
| [Picard 2.7B](https://huggingface.co/KoboldAI/GPT-Neo-2.7B-Picard) by Mr Seeker | 2.7B | Novel | Picard is a model trained for SFW Novels based on Neo 2.7B. It is focused on Novel style writing without the NSFW bias. While the name suggests a sci-fi model this model is designed for Novels of a variety of genre's. It is meant to be used in KoboldAI's regular mode. |
| [AID 2.7B](https://huggingface.co/KoboldAI/GPT-Neo-2.7B-AID) by melastacho | 2.7B | Adventure | Also know as Adventure 2.7B this is a clone of the AI Dungeon Classic model and is best known for the epic wackey adventures that AI Dungeon Classic players love. |
| [Horni LN 2.7B](https://huggingface.co/KoboldAI/GPT-Neo-2.7B-Horni-LN) by finetune | 2.7B | Novel | This model is based on Horni 2.7B and retains its NSFW knowledge, but was then further biased towards SFW novel stories. If you seek a balance between a SFW Novel model and a NSFW model this model should be a good choice. |
| [Horni 2.7B](https://huggingface.co/KoboldAI/GPT-Neo-2.7B-Horni) by finetune | 2.7B | NSFW | This model is tuned on Literotica to produce a Novel style model biased towards NSFW content. Can still be used for SFW stories but will have a bias towards NSFW content. It is meant to be used in KoboldAI's regular mode. |
| [Shinen 2.7B ](https://huggingface.co/KoboldAI/GPT-Neo-2.7B-Shinen) by Mr Seeker | 2.7B | NSFW | Shinen is an alternative to the Horni model designed to be more explicit. If Horni is to tame for you Shinen might produce better results. While it is a Novel model it is unsuitable for SFW stories due to its heavy NSFW bias. Shinen will not hold back. It is meant to be used in KoboldAI's regular mode. |
| [Neo 2.7B](https://huggingface.co/EleutherAI/gpt-neo-2.7B) by EleutherAI | 2.7B | Generic | This is the base model for all the other 2.7B models, it is best used when you have a use case that we have no other models available for, such as writing blog articles or programming. It can also be a good basis for the experience of some of the softprompts if your softprompt is not about a subject the other models cover. |
| Model | Style | Description |
| --- | --- | --- |
| [Nerys](https://huggingface.co/KoboldAI/fairseq-dense-2.7B-Nerys) by Mr Seeker | Novel/Adventure | Nerys is a hybrid model based on Pike (A newer Janeway), on top of the Pike dataset you also get some Light Novels, Adventure mode support and a little bit of Shinen thrown in the mix. The end result is a very diverse model that is heavily biased towards SFW novel writing, but one that can go beyond its novel training and make for an excellent adventure model to. Adventure mode is best played from a second person perspective, but can be played in first or third person as well. Novel writing can be done best from the first or third person. |
| [Erebus](https://huggingface.co/KoboldAI/OPT-2.7B-Erebus) by Mr Seeker | NSFW | Erebus is our community's flagship NSFW model, being a combination of multiple large datasets that include Literotica, Shinen and erotic novels from Nerys and featuring thourough tagging support it covers the vast majority of erotic writing styles. This model is capable of replacing both the Lit and Shinen models in terms of content and style and has been well received as (one of) the best NSFW models out there. If you wish to use this model for commercial or non research usage we recommend choosing the 20B version as that one is not subject to the restrictive OPT license. |
| [Janeway](https://huggingface.co/KoboldAI/GPT-Neo-2.7B-Janeway) by Mr Seeker | Novel | Janeway is a model created from Picard's dataset combined with a brand new collection of ebooks. This model is trained on 20% more content than Picard and has been trained on literature from various genres. Although the model is mainly focussed on SFW, romantic scenes might involve a degree of nudity. |
| [Picard](https://huggingface.co/KoboldAI/GPT-Neo-2.7B-Picard) by Mr Seeker | Novel | Picard is a model trained for SFW Novels based on Neo 2.7B. It is focused on Novel style writing without the NSFW bias. While the name suggests a sci-fi model this model is designed for Novels of a variety of genre's. It is meant to be used in KoboldAI's regular mode. |
| [AID](https://huggingface.co/KoboldAI/GPT-Neo-2.7B-AID) by melastacho | Adventure | Also know as Adventure 2.7B this is a clone of the AI Dungeon Classic model and is best known for the epic wackey adventures that AI Dungeon Classic players love. |
| [Horni LN](https://huggingface.co/KoboldAI/GPT-Neo-2.7B-Horni-LN) by finetune | Novel | This model is based on Horni 2.7B and retains its NSFW knowledge, but was then further biased towards SFW novel stories. If you seek a balance between a SFW Novel model and a NSFW model this model should be a good choice. |
| [Horni](https://huggingface.co/KoboldAI/GPT-Neo-2.7B-Horni) by finetune | NSFW | This model is tuned on Literotica to produce a Novel style model biased towards NSFW content. Can still be used for SFW stories but will have a bias towards NSFW content. It is meant to be used in KoboldAI's regular mode. |
| [Shinen](https://huggingface.co/KoboldAI/GPT-Neo-2.7B-Shinen) by Mr Seeker | NSFW | Shinen is an alternative to the Horni model designed to be more explicit. If Horni is to tame for you Shinen might produce better results. While it is a Novel model it is unsuitable for SFW stories due to its heavy NSFW bias. Shinen will not hold back. It is meant to be used in KoboldAI's regular mode. |
| [OPT](https://huggingface.co/facebook/opt-2.7b) by Metaseq | Generic | OPT is considered one of the best base models as far as content goes, its behavior has the strengths of both GPT-Neo and Fairseq Dense. Compared to Neo duplicate and unnecessary content has been left out, while additional literature was added in similar to the Fairseq Dense model. The Fairseq Dense model however lacks the broader data that OPT does have. The biggest downfall of OPT is its license, which prohibits any commercial usage, or usage beyond research purposes. |
| [Fairseq Dense](https://huggingface.co/KoboldAI/fairseq-dense-2.7B) | Generic | Trained by Facebook Researchers this model stems from the MOE research project within Fairseq. This particular version has been converted by us for use in KoboldAI. It is known to be on par with the larger models from EleutherAI and considered as better for pop culture and language tasks. Because the model has never seen a new line (enter) it may perform worse on formatting and paragraphing. Compared to other models the dataset focuses primarily on literature and contains little else. |
| [Neo](https://huggingface.co/EleutherAI/gpt-neo-2.7B) by EleutherAI | Generic | This is the base model for all the other 2.7B models, it is best used when you have a use case that we have no other models available for, such as writing blog articles or programming. It can also be a good basis for the experience of some of the softprompts if your softprompt is not about a subject the other models cover. |
### Styles
@ -192,14 +197,21 @@ Lastly the all the features of our userscript API are documented inside the API
For our TPU versions keep in mind that scripts modifying AI behavior relies on a different way of processing that is slower than if you leave these userscripts disabled even if your script only sporadically uses this modifier. If you want to partially use a script at its full speed than you can enable "No Gen Modifiers" to ensure that the parts that would make the TPU slow are not active.
## API
KoboldAI has a REST API that can be accessed by adding /api to the URL that Kobold provides you (For example http://127.0.0.1:5000/api).
When accessing this link in a browser you will be taken to the interactive documentation.
## Contributors
This project contains work from the following contributors :
* The Gantian - Creator of KoboldAI, has created most features such as the interface, the different AI model / API integrations and in general the largest part of the project.
* VE FORBRYDERNE - Contributed many features such as the Editing overhaul, Adventure Mode, expansions to the world info section, breakmodel integration, scripting support, softpromtps and much more. As well as vastly improving the TPU compatibility and integrating external code into KoboldAI so we could use official versions of Transformers with virtually no downsides.
* VE FORBRYDERNE - Contributed many features such as the Editing overhaul, Adventure Mode, expansions to the world info section, breakmodel integration, scripting support, API, softpromtps and much more. As well as vastly improving the TPU compatibility and integrating external code into KoboldAI so we could use official versions of Transformers with virtually no downsides.
* Henk717 - Contributed the installation scripts, this readme, random story generator, the docker scripts, the foundation for the commandline interface and other smaller changes as well as integrating multiple parts of the code of different forks to unite it all. He also optimized the model loading so that downloaded models get converted to efficient offline models and that in future models are more likely to work out of the box. Not all code Github attributes to Henk717 is by Henk717 as some of it has been integrations of other people's work. We try to clarify this in the contributors list as much as we can.
* Ebolam - Automatic Saving
* Ebolam - Automatic Saving, back/redo, pinning, web loading of models
* one-some, Logits Viewer and Token Streaming
* db0, KoboldAI Horde
* Frogging101 - top\_k / tfs support (Part of this support was later redone by VE to integrate what was originally inside of finetuneanon's transformers)
* UWUplus (Ralf) - Contributed storage systems for community colabs, as well as cleaning up and integrating the website dependencies/code better. He is also the maintainer of flask-cloudflared which we use to generate the cloudflare links.
* Javalar - Initial Performance increases on the story\_refresh
@ -216,4 +228,4 @@ Did we miss your contribution? Feel free to issue a commit adding your name to t
KoboldAI is licensed with a AGPL license, in short this means that it can be used by anyone for any purpose. However, if you decide to make a publicly available instance your users are entitled to a copy of the source code including all modifications that you have made (which needs to be available trough an interface such as a button on your website), you may also not distribute this project in a form that does not contain the source code (Such as compiling / encrypting the code and distributing this version without also distributing the source code that includes the changes that you made. You are allowed to distribute this in a closed form if you also provide a separate archive with the source code.).
umamba.exe is bundled for convenience because we observed that many of our users had trouble with command line download methods, it is not part of our project and does not fall under the AGPL license. It is licensed under the BSD-3-Clause license. Other files with differing licenses will have a reference or embedded version of this license within the file. It has been sourced from https://anaconda.org/conda-forge/micromamba/files and its source code can be found here : https://github.com/mamba-org/mamba/tree/master/micromamba
umamba.exe is bundled for convenience because we observed that many of our users had trouble with command line download methods, it is not part of our project and does not fall under the AGPL license. It is licensed under the BSD-3-Clause license. Other files with differing licenses will have a reference or embedded version of this license within the file. It has been sourced from https://anaconda.org/conda-forge/micromamba/files and its source code can be found here : https://github.com/mamba-org/mamba/tree/master/micromamba

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@ -2,7 +2,7 @@ transformers>=4.20.1
Flask
Flask-SocketIO
requests
torch==1.11
torch >= 1.9, < 1.13
flask-cloudflared
flask-ngrok
eventlet
@ -12,3 +12,7 @@ bleach==4.1.0
sentencepiece
protobuf
accelerate
flask-session
marshmallow>=3.13
apispec-webframeworks
loguru

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@ -1,4 +1,4 @@
torch >= 1.9, <= 1.11
torch >= 1.9, < 1.13
numpy
tqdm
requests
@ -16,3 +16,7 @@ eventlet
lupa==1.10
markdown
bleach==4.1.0
flask-session
marshmallow>=3.13
apispec-webframeworks
loguru

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@ -291,7 +291,7 @@ body.connected #formatmenu, #formatmenu.always-available {
align-items: center;
}
#popup {
#popup_old {
width: 75%;
min-width: 500px;
max-width: 1000px;
@ -369,14 +369,14 @@ body.connected #popupfooter, #popupfooter.always-available {
margin-top: 200px;
}
#loadpopup {
.loadpopup {
width: 500px;
background-color: #262626;
margin-top: 100px;
}
@media (max-width: 768px) {
#loadpopup {
.loadpopup {
width: 100%;
background-color: #262626;
margin-top: 100px;
@ -473,7 +473,7 @@ body.connected #popupfooter, #popupfooter.always-available {
}
#samplerslist {
height: 300px;
height: 310px;
overflow-y: scroll;
overflow-wrap: anywhere;
}
@ -1056,7 +1056,7 @@ body.connected .statusiconlabel, .statusiconlabel.always-available {
}
.loadlistitem {
padding: 5px 10px 5px 10px;
padding: 0px 0px 0px 0px;
display: flex;
flex-grow: 1;
color: #ffffff;
@ -1072,6 +1072,28 @@ body.connected .statusiconlabel, .statusiconlabel.always-available {
background-color: #688f1f;
}
.breadcrumbitem {
padding: 5px 10px 5px 10px;
color: #ffffff;
background-color: transparent;
border: none;
-moz-transition: background-color 0.25s ease-in;
-o-transition: background-color 0.25s ease-in;
-webkit-transition: background-color 0.25s ease-in;
transition: background-color 0.25s ease-in;
}
.breadcrumbitem:hover {
cursor: pointer;
background-color: #688f1f;
}
hr {
padding: 0px;
margin: 0px;
}
.loadlistpadding {
padding-right: 10px;
}
@ -1463,3 +1485,240 @@ body.connected .popupfooter, .popupfooter.always-available {
overflow: hidden;
font-size: 12pt;
}
.model_layers {
width: 3ch;
background-color: inherit;
border: none;
outline: none;
}
.model_layers:focus {
color: #cdf;
}
.menu_icon {
position: fixed;
top:10px;
left: 5px;
z-index:100;
display: inline-block;
cursor: pointer;
}
.SideMenu {
height: 100%;
width: 0;
position: fixed;
z-index: 1;
top: 0;
left: 0;
background-color: #111;
overflow-x: hidden;
transition: 0.5s;
padding-top: 60px;
}
.SideMenu.open {
width: 450px;
}
@media only screen and (max-width: 768px) {
.SideMenu.open {
width: 100%;
}
}
.menubar1, .menubar2, .menubar3 {
width: 21px;
height: 3px;
background-color: #999;
margin: 3px 0;
transition: 0.4s;
}
.change .menubar1 {
transform: translate(0px, 6px) rotate(-45deg);
}
.change .menubar2 {opacity: 0;}
.change .menubar3 {
transform: translate(0px, -6px) rotate(45deg);
}
/*---------------------------------- Popup -------------------------------------------------*/
.new_popup {
position: absolute;
top: 10vh;
left: 10%;
z-index: 999;
width: 80%;
height: 80vh;
background-color: black;
display: flex;
flex-direction: column;
background-color: #474B4F;
color: white;
}
.new_popup .title {
width: 100%;
background-color: #337AB7;
text-align: center;
font-size: 1.3em;
}
.new_popup .popup_list_area {
height: 70vh;
overflow-x: hidden;
}
.new_popup .item {
width: 100%;
background-color: #262626;
padding: 2px;
display: grid;
grid-template-areas: "folder_icon delete_icon edit_icon rename_icon file";
grid-template-columns: 20px 20px 20px 20px auto;
}
.new_popup .item .folder_icon {
grid-area: folder_icon;
}
.new_popup .item .edit_icon {
grid-area: edit_icon;
}
.new_popup .item .rename_icon {
grid-area: rename_icon;
}
.new_popup .item .delete_icon {
grid-area: delete_icon;
}
.new_popup .item .file {
grid-area: file;
}
.new_popup .item .file:hover {
background-color: #688f1f;
}
.new_popup textarea {
grid-area: textarea;
background-color: #404040;
color: white;
resize: none;
width: 100%;
}
.new_popup .popup_load_cancel {
text-align: center;
background-color: #285070;
}
.popup_load_cancel_button {
vertical-align: bottom;
display: inline;
}
.popup_load_cancel_button.btn-secondary {
color: rgb(51, 51, 51);
background-color: #686c68;
}
.breadcrumbitem {
padding: 5px 10px 5px 10px;
color: #ffffff;
background-color: transparent;
border: none;
-moz-transition: background-color 0.25s ease-in;
-o-transition: background-color 0.25s ease-in;
-webkit-transition: background-color 0.25s ease-in;
transition: background-color 0.25s ease-in;
}
.breadcrumbitem:hover {
cursor: pointer;
background-color: #688f1f;
}
#token_prob_menu {
color: white;
background-color: #262626;
}
.token-probs {
display: inline-block;
text-align: center;
margin-right: 5px;
}
.token-probs > table {
width: 100%;
}
.token-probs > table > tbody > tr > td {
border: 1px solid #262626;
border-collapse: collapse;
padding: 2px 15px;
}
.token-probs > table > tbody > tr {
background-color: #3e3e3e;
}
.token-probs > table > tbody > tr:nth-child(2n) {
background-color: #575757;
}
.token-probs-final-token {
font-weight: bold;
text-decoration: underline;
}
.token-probs-final-token > td {
background: #5c8a5a;
}
.token-probs-header {
display: block;
}
#token_prob_container {
overflow-x: auto;
white-space: nowrap;
}
.tokens-counted {
position: relative;
}
.input-token-usage {
color: white;
position: absolute;
font-size: 10px;
bottom: 2px;
right: 5px;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
/* Override needed here due to the 10px right padding on inputrowleft; add 10 px. */
#inputrowleft > .input-token-usage {
right: 15px;
bottom: 1px;
}
.wientry > .input-token-usage {
bottom: 8px;
}

70
static/favicon.js Normal file
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@ -0,0 +1,70 @@
// Global Definitions
var fav_icon2 = "data:image/x-icon;base64,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";
var fav_icon1 = "data:image/png;base64,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";
var fav_icon = "data:image/png;base64,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"
var submit_start;
var favicon = {
// Change the Page Icon and Title.
change: function(iconURL) {
this.addLink(iconURL, "icon");
this.addLink(iconURL, "shortcut icon");
},
addLink: function(iconURL, relValue) {
var link = document.createElement("link");
link.type = "image/x-icon";
link.rel = relValue;
link.href = iconURL;
this.removeLink(relValue);
this.docHead.appendChild(link);
},
removeLink: function(relValue) {
var links = this.docHead.getElementsByTagName("link");
for (var i = 0; i < links.length; i++) {
var link = links[i];
if (link.type == "image/x-icon" && link.rel == relValue) {
this.docHead.removeChild(link);
return; // Assuming only one match at most.
}
}
},
swapLink: function() {
if (this.run == true) {
if (this.icon == 1) {
this.change(fav_icon2);
this.icon = 2;
} else {
this.change(fav_icon1);
this.icon = 1;
}
}
},
auto_swap: function() {
if (this.run == true) {
this.swapLink();
setTimeout(() => { this.auto_swap(); }, 1000);
}
},
start_swap: function() {
this.run = true;
this.auto_swap();
submit_start = Date.now();
},
stop_swap: function() {
this.run = false;
this.change(fav_icon);
if (typeof submit_start !== 'undefined') {
$("#runtime")[0].innerHTML = `Execution time: ${Math.round((Date.now() - submit_start)/1000)} sec`;
delete submit_start;
}
},
docHead:document.getElementsByTagName("head")[0]
}

View File

@ -0,0 +1,952 @@
/* Bootstrap */
@font-face {
font-family: 'Icons';
src: url('../fonts/open-iconic.eot');
src: url('../fonts/open-iconic.eot?#iconic-sm') format('embedded-opentype'), url('../fonts/open-iconic.woff') format('woff'), url('../fonts/open-iconic.ttf') format('truetype'), url('../fonts/open-iconic.otf') format('opentype'), url('../fonts/open-iconic.svg#iconic-sm') format('svg');
font-weight: normal;
font-style: normal;
}
.oi {
position: relative;
top: 1px;
display: inline-block;
speak:none;
font-family: 'Icons';
font-style: normal;
font-weight: normal;
line-height: 1;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}
.oi:empty:before {
width: 1em;
text-align: center;
box-sizing: content-box;
}
.oi.oi-align-center:before {
text-align: center;
}
.oi.oi-align-left:before {
text-align: left;
}
.oi.oi-align-right:before {
text-align: right;
}
.oi.oi-flip-horizontal:before {
-webkit-transform: scale(-1, 1);
-ms-transform: scale(-1, 1);
transform: scale(-1, 1);
}
.oi.oi-flip-vertical:before {
-webkit-transform: scale(1, -1);
-ms-transform: scale(-1, 1);
transform: scale(1, -1);
}
.oi.oi-flip-horizontal-vertical:before {
-webkit-transform: scale(-1, -1);
-ms-transform: scale(-1, 1);
transform: scale(-1, -1);
}
.oi-account-login:before {
content:'\e000';
}
.oi-account-logout:before {
content:'\e001';
}
.oi-action-redo:before {
content:'\e002';
}
.oi-action-undo:before {
content:'\e003';
}
.oi-align-center:before {
content:'\e004';
}
.oi-align-left:before {
content:'\e005';
}
.oi-align-right:before {
content:'\e006';
}
.oi-aperture:before {
content:'\e007';
}
.oi-arrow-bottom:before {
content:'\e008';
}
.oi-arrow-circle-bottom:before {
content:'\e009';
}
.oi-arrow-circle-left:before {
content:'\e00a';
}
.oi-arrow-circle-right:before {
content:'\e00b';
}
.oi-arrow-circle-top:before {
content:'\e00c';
}
.oi-arrow-left:before {
content:'\e00d';
}
.oi-arrow-right:before {
content:'\e00e';
}
.oi-arrow-thick-bottom:before {
content:'\e00f';
}
.oi-arrow-thick-left:before {
content:'\e010';
}
.oi-arrow-thick-right:before {
content:'\e011';
}
.oi-arrow-thick-top:before {
content:'\e012';
}
.oi-arrow-top:before {
content:'\e013';
}
.oi-audio-spectrum:before {
content:'\e014';
}
.oi-audio:before {
content:'\e015';
}
.oi-badge:before {
content:'\e016';
}
.oi-ban:before {
content:'\e017';
}
.oi-bar-chart:before {
content:'\e018';
}
.oi-basket:before {
content:'\e019';
}
.oi-battery-empty:before {
content:'\e01a';
}
.oi-battery-full:before {
content:'\e01b';
}
.oi-beaker:before {
content:'\e01c';
}
.oi-bell:before {
content:'\e01d';
}
.oi-bluetooth:before {
content:'\e01e';
}
.oi-bold:before {
content:'\e01f';
}
.oi-bolt:before {
content:'\e020';
}
.oi-book:before {
content:'\e021';
}
.oi-bookmark:before {
content:'\e022';
}
.oi-box:before {
content:'\e023';
}
.oi-briefcase:before {
content:'\e024';
}
.oi-british-pound:before {
content:'\e025';
}
.oi-browser:before {
content:'\e026';
}
.oi-brush:before {
content:'\e027';
}
.oi-bug:before {
content:'\e028';
}
.oi-bullhorn:before {
content:'\e029';
}
.oi-calculator:before {
content:'\e02a';
}
.oi-calendar:before {
content:'\e02b';
}
.oi-camera-slr:before {
content:'\e02c';
}
.oi-caret-bottom:before {
content:'\e02d';
}
.oi-caret-left:before {
content:'\e02e';
}
.oi-caret-right:before {
content:'\e02f';
}
.oi-caret-top:before {
content:'\e030';
}
.oi-cart:before {
content:'\e031';
}
.oi-chat:before {
content:'\e032';
}
.oi-check:before {
content:'\e033';
}
.oi-chevron-bottom:before {
content:'\e034';
}
.oi-chevron-left:before {
content:'\e035';
}
.oi-chevron-right:before {
content:'\e036';
}
.oi-chevron-top:before {
content:'\e037';
}
.oi-circle-check:before {
content:'\e038';
}
.oi-circle-x:before {
content:'\e039';
}
.oi-clipboard:before {
content:'\e03a';
}
.oi-clock:before {
content:'\e03b';
}
.oi-cloud-download:before {
content:'\e03c';
}
.oi-cloud-upload:before {
content:'\e03d';
}
.oi-cloud:before {
content:'\e03e';
}
.oi-cloudy:before {
content:'\e03f';
}
.oi-code:before {
content:'\e040';
}
.oi-cog:before {
content:'\e041';
}
.oi-collapse-down:before {
content:'\e042';
}
.oi-collapse-left:before {
content:'\e043';
}
.oi-collapse-right:before {
content:'\e044';
}
.oi-collapse-up:before {
content:'\e045';
}
.oi-command:before {
content:'\e046';
}
.oi-comment-square:before {
content:'\e047';
}
.oi-compass:before {
content:'\e048';
}
.oi-contrast:before {
content:'\e049';
}
.oi-copywriting:before {
content:'\e04a';
}
.oi-credit-card:before {
content:'\e04b';
}
.oi-crop:before {
content:'\e04c';
}
.oi-dashboard:before {
content:'\e04d';
}
.oi-data-transfer-download:before {
content:'\e04e';
}
.oi-data-transfer-upload:before {
content:'\e04f';
}
.oi-delete:before {
content:'\e050';
}
.oi-dial:before {
content:'\e051';
}
.oi-document:before {
content:'\e052';
}
.oi-dollar:before {
content:'\e053';
}
.oi-double-quote-sans-left:before {
content:'\e054';
}
.oi-double-quote-sans-right:before {
content:'\e055';
}
.oi-double-quote-serif-left:before {
content:'\e056';
}
.oi-double-quote-serif-right:before {
content:'\e057';
}
.oi-droplet:before {
content:'\e058';
}
.oi-eject:before {
content:'\e059';
}
.oi-elevator:before {
content:'\e05a';
}
.oi-ellipses:before {
content:'\e05b';
}
.oi-envelope-closed:before {
content:'\e05c';
}
.oi-envelope-open:before {
content:'\e05d';
}
.oi-euro:before {
content:'\e05e';
}
.oi-excerpt:before {
content:'\e05f';
}
.oi-expand-down:before {
content:'\e060';
}
.oi-expand-left:before {
content:'\e061';
}
.oi-expand-right:before {
content:'\e062';
}
.oi-expand-up:before {
content:'\e063';
}
.oi-external-link:before {
content:'\e064';
}
.oi-eye:before {
content:'\e065';
}
.oi-eyedropper:before {
content:'\e066';
}
.oi-file:before {
content:'\e067';
}
.oi-fire:before {
content:'\e068';
}
.oi-flag:before {
content:'\e069';
}
.oi-flash:before {
content:'\e06a';
}
.oi-folder:before {
content:'\e06b';
}
.oi-fork:before {
content:'\e06c';
}
.oi-fullscreen-enter:before {
content:'\e06d';
}
.oi-fullscreen-exit:before {
content:'\e06e';
}
.oi-globe:before {
content:'\e06f';
}
.oi-graph:before {
content:'\e070';
}
.oi-grid-four-up:before {
content:'\e071';
}
.oi-grid-three-up:before {
content:'\e072';
}
.oi-grid-two-up:before {
content:'\e073';
}
.oi-hard-drive:before {
content:'\e074';
}
.oi-header:before {
content:'\e075';
}
.oi-headphones:before {
content:'\e076';
}
.oi-heart:before {
content:'\e077';
}
.oi-home:before {
content:'\e078';
}
.oi-image:before {
content:'\e079';
}
.oi-inbox:before {
content:'\e07a';
}
.oi-infinity:before {
content:'\e07b';
}
.oi-info:before {
content:'\e07c';
}
.oi-italic:before {
content:'\e07d';
}
.oi-justify-center:before {
content:'\e07e';
}
.oi-justify-left:before {
content:'\e07f';
}
.oi-justify-right:before {
content:'\e080';
}
.oi-key:before {
content:'\e081';
}
.oi-laptop:before {
content:'\e082';
}
.oi-layers:before {
content:'\e083';
}
.oi-lightbulb:before {
content:'\e084';
}
.oi-link-broken:before {
content:'\e085';
}
.oi-link-intact:before {
content:'\e086';
}
.oi-list-rich:before {
content:'\e087';
}
.oi-list:before {
content:'\e088';
}
.oi-location:before {
content:'\e089';
}
.oi-lock-locked:before {
content:'\e08a';
}
.oi-lock-unlocked:before {
content:'\e08b';
}
.oi-loop-circular:before {
content:'\e08c';
}
.oi-loop-square:before {
content:'\e08d';
}
.oi-loop:before {
content:'\e08e';
}
.oi-magnifying-glass:before {
content:'\e08f';
}
.oi-map-marker:before {
content:'\e090';
}
.oi-map:before {
content:'\e091';
}
.oi-media-pause:before {
content:'\e092';
}
.oi-media-play:before {
content:'\e093';
}
.oi-media-record:before {
content:'\e094';
}
.oi-media-skip-backward:before {
content:'\e095';
}
.oi-media-skip-forward:before {
content:'\e096';
}
.oi-media-step-backward:before {
content:'\e097';
}
.oi-media-step-forward:before {
content:'\e098';
}
.oi-media-stop:before {
content:'\e099';
}
.oi-medical-cross:before {
content:'\e09a';
}
.oi-menu:before {
content:'\e09b';
}
.oi-microphone:before {
content:'\e09c';
}
.oi-minus:before {
content:'\e09d';
}
.oi-monitor:before {
content:'\e09e';
}
.oi-moon:before {
content:'\e09f';
}
.oi-move:before {
content:'\e0a0';
}
.oi-musical-note:before {
content:'\e0a1';
}
.oi-paperclip:before {
content:'\e0a2';
}
.oi-pencil:before {
content:'\e0a3';
}
.oi-people:before {
content:'\e0a4';
}
.oi-person:before {
content:'\e0a5';
}
.oi-phone:before {
content:'\e0a6';
}
.oi-pie-chart:before {
content:'\e0a7';
}
.oi-pin:before {
content:'\e0a8';
}
.oi-play-circle:before {
content:'\e0a9';
}
.oi-plus:before {
content:'\e0aa';
}
.oi-power-standby:before {
content:'\e0ab';
}
.oi-print:before {
content:'\e0ac';
}
.oi-project:before {
content:'\e0ad';
}
.oi-pulse:before {
content:'\e0ae';
}
.oi-puzzle-piece:before {
content:'\e0af';
}
.oi-question-mark:before {
content:'\e0b0';
}
.oi-rain:before {
content:'\e0b1';
}
.oi-random:before {
content:'\e0b2';
}
.oi-reload:before {
content:'\e0b3';
}
.oi-resize-both:before {
content:'\e0b4';
}
.oi-resize-height:before {
content:'\e0b5';
}
.oi-resize-width:before {
content:'\e0b6';
}
.oi-rss-alt:before {
content:'\e0b7';
}
.oi-rss:before {
content:'\e0b8';
}
.oi-script:before {
content:'\e0b9';
}
.oi-share-boxed:before {
content:'\e0ba';
}
.oi-share:before {
content:'\e0bb';
}
.oi-shield:before {
content:'\e0bc';
}
.oi-signal:before {
content:'\e0bd';
}
.oi-signpost:before {
content:'\e0be';
}
.oi-sort-ascending:before {
content:'\e0bf';
}
.oi-sort-descending:before {
content:'\e0c0';
}
.oi-spreadsheet:before {
content:'\e0c1';
}
.oi-star:before {
content:'\e0c2';
}
.oi-sun:before {
content:'\e0c3';
}
.oi-tablet:before {
content:'\e0c4';
}
.oi-tag:before {
content:'\e0c5';
}
.oi-tags:before {
content:'\e0c6';
}
.oi-target:before {
content:'\e0c7';
}
.oi-task:before {
content:'\e0c8';
}
.oi-terminal:before {
content:'\e0c9';
}
.oi-text:before {
content:'\e0ca';
}
.oi-thumb-down:before {
content:'\e0cb';
}
.oi-thumb-up:before {
content:'\e0cc';
}
.oi-timer:before {
content:'\e0cd';
}
.oi-transfer:before {
content:'\e0ce';
}
.oi-trash:before {
content:'\e0cf';
}
.oi-underline:before {
content:'\e0d0';
}
.oi-vertical-align-bottom:before {
content:'\e0d1';
}
.oi-vertical-align-center:before {
content:'\e0d2';
}
.oi-vertical-align-top:before {
content:'\e0d3';
}
.oi-video:before {
content:'\e0d4';
}
.oi-volume-high:before {
content:'\e0d5';
}
.oi-volume-low:before {
content:'\e0d6';
}
.oi-volume-off:before {
content:'\e0d7';
}
.oi-warning:before {
content:'\e0d8';
}
.oi-wifi:before {
content:'\e0d9';
}
.oi-wrench:before {
content:'\e0da';
}
.oi-x:before {
content:'\e0db';
}
.oi-yen:before {
content:'\e0dc';
}
.oi-zoom-in:before {
content:'\e0dd';
}
.oi-zoom-out:before {
content:'\e0de';
}

View File

@ -0,0 +1,960 @@
/* Bootstrap */
/* Override Bootstrap default variable */
//@icon-font-path: "../fonts/";
@font-face {
font-family: 'Icons';
src: ~"url('@{icon-font-path}open-iconic.eot')";
src: ~"url('@{icon-font-path}open-iconic.eot?#iconic-sm') format('embedded-opentype')",
~"url('@{icon-font-path}open-iconic.woff') format('woff')",
~"url('@{icon-font-path}open-iconic.ttf') format('truetype')",
~"url('@{icon-font-path}open-iconic.svg#iconic-sm') format('svg')";
font-weight: normal;
font-style: normal;
}
// Catchall baseclass
.oi {
position: relative;
top: 1px;
display: inline-block;
font-family: 'Icons';
font-style: normal;
font-weight: normal;
line-height: 1;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
&:empty:before {
width: 1em;
text-align: center;
box-sizing: content-box;
}
&.oi-align-center:before {
text-align: center;
}
&.oi-align-left:before {
text-align: left;
}
&.oi-align-right:before {
text-align: right;
}
&.oi-flip-horizontal:before {
-webkit-transform: scale(-1, 1);
-ms-transform: scale(-1, 1);
transform: scale(-1, 1);
}
&.oi-flip-vertical:before {
-webkit-transform: scale(1, -1);
-ms-transform: scale(-1, 1);
transform: scale(1, -1);
}
&.oi-flip-horizontal-vertical:before {
-webkit-transform: scale(-1, -1);
-ms-transform: scale(-1, 1);
transform: scale(-1, -1);
}
}
.oi-account-login:before {
content:"\e000";
}
.oi-account-logout:before {
content:"\e001";
}
.oi-action-redo:before {
content:"\e002";
}
.oi-action-undo:before {
content:"\e003";
}
.oi-align-center:before {
content:"\e004";
}
.oi-align-left:before {
content:"\e005";
}
.oi-align-right:before {
content:"\e006";
}
.oi-aperture:before {
content:"\e007";
}
.oi-arrow-bottom:before {
content:"\e008";
}
.oi-arrow-circle-bottom:before {
content:"\e009";
}
.oi-arrow-circle-left:before {
content:"\e00a";
}
.oi-arrow-circle-right:before {
content:"\e00b";
}
.oi-arrow-circle-top:before {
content:"\e00c";
}
.oi-arrow-left:before {
content:"\e00d";
}
.oi-arrow-right:before {
content:"\e00e";
}
.oi-arrow-thick-bottom:before {
content:"\e00f";
}
.oi-arrow-thick-left:before {
content:"\e010";
}
.oi-arrow-thick-right:before {
content:"\e011";
}
.oi-arrow-thick-top:before {
content:"\e012";
}
.oi-arrow-top:before {
content:"\e013";
}
.oi-audio-spectrum:before {
content:"\e014";
}
.oi-audio:before {
content:"\e015";
}
.oi-badge:before {
content:"\e016";
}
.oi-ban:before {
content:"\e017";
}
.oi-bar-chart:before {
content:"\e018";
}
.oi-basket:before {
content:"\e019";
}
.oi-battery-empty:before {
content:"\e01a";
}
.oi-battery-full:before {
content:"\e01b";
}
.oi-beaker:before {
content:"\e01c";
}
.oi-bell:before {
content:"\e01d";
}
.oi-bluetooth:before {
content:"\e01e";
}
.oi-bold:before {
content:"\e01f";
}
.oi-bolt:before {
content:"\e020";
}
.oi-book:before {
content:"\e021";
}
.oi-bookmark:before {
content:"\e022";
}
.oi-box:before {
content:"\e023";
}
.oi-briefcase:before {
content:"\e024";
}
.oi-british-pound:before {
content:"\e025";
}
.oi-browser:before {
content:"\e026";
}
.oi-brush:before {
content:"\e027";
}
.oi-bug:before {
content:"\e028";
}
.oi-bullhorn:before {
content:"\e029";
}
.oi-calculator:before {
content:"\e02a";
}
.oi-calendar:before {
content:"\e02b";
}
.oi-camera-slr:before {
content:"\e02c";
}
.oi-caret-bottom:before {
content:"\e02d";
}
.oi-caret-left:before {
content:"\e02e";
}
.oi-caret-right:before {
content:"\e02f";
}
.oi-caret-top:before {
content:"\e030";
}
.oi-cart:before {
content:"\e031";
}
.oi-chat:before {
content:"\e032";
}
.oi-check:before {
content:"\e033";
}
.oi-chevron-bottom:before {
content:"\e034";
}
.oi-chevron-left:before {
content:"\e035";
}
.oi-chevron-right:before {
content:"\e036";
}
.oi-chevron-top:before {
content:"\e037";
}
.oi-circle-check:before {
content:"\e038";
}
.oi-circle-x:before {
content:"\e039";
}
.oi-clipboard:before {
content:"\e03a";
}
.oi-clock:before {
content:"\e03b";
}
.oi-cloud-download:before {
content:"\e03c";
}
.oi-cloud-upload:before {
content:"\e03d";
}
.oi-cloud:before {
content:"\e03e";
}
.oi-cloudy:before {
content:"\e03f";
}
.oi-code:before {
content:"\e040";
}
.oi-cog:before {
content:"\e041";
}
.oi-collapse-down:before {
content:"\e042";
}
.oi-collapse-left:before {
content:"\e043";
}
.oi-collapse-right:before {
content:"\e044";
}
.oi-collapse-up:before {
content:"\e045";
}
.oi-command:before {
content:"\e046";
}
.oi-comment-square:before {
content:"\e047";
}
.oi-compass:before {
content:"\e048";
}
.oi-contrast:before {
content:"\e049";
}
.oi-copywriting:before {
content:"\e04a";
}
.oi-credit-card:before {
content:"\e04b";
}
.oi-crop:before {
content:"\e04c";
}
.oi-dashboard:before {
content:"\e04d";
}
.oi-data-transfer-download:before {
content:"\e04e";
}
.oi-data-transfer-upload:before {
content:"\e04f";
}
.oi-delete:before {
content:"\e050";
}
.oi-dial:before {
content:"\e051";
}
.oi-document:before {
content:"\e052";
}
.oi-dollar:before {
content:"\e053";
}
.oi-double-quote-sans-left:before {
content:"\e054";
}
.oi-double-quote-sans-right:before {
content:"\e055";
}
.oi-double-quote-serif-left:before {
content:"\e056";
}
.oi-double-quote-serif-right:before {
content:"\e057";
}
.oi-droplet:before {
content:"\e058";
}
.oi-eject:before {
content:"\e059";
}
.oi-elevator:before {
content:"\e05a";
}
.oi-ellipses:before {
content:"\e05b";
}
.oi-envelope-closed:before {
content:"\e05c";
}
.oi-envelope-open:before {
content:"\e05d";
}
.oi-euro:before {
content:"\e05e";
}
.oi-excerpt:before {
content:"\e05f";
}
.oi-expand-down:before {
content:"\e060";
}
.oi-expand-left:before {
content:"\e061";
}
.oi-expand-right:before {
content:"\e062";
}
.oi-expand-up:before {
content:"\e063";
}
.oi-external-link:before {
content:"\e064";
}
.oi-eye:before {
content:"\e065";
}
.oi-eyedropper:before {
content:"\e066";
}
.oi-file:before {
content:"\e067";
}
.oi-fire:before {
content:"\e068";
}
.oi-flag:before {
content:"\e069";
}
.oi-flash:before {
content:"\e06a";
}
.oi-folder:before {
content:"\e06b";
}
.oi-fork:before {
content:"\e06c";
}
.oi-fullscreen-enter:before {
content:"\e06d";
}
.oi-fullscreen-exit:before {
content:"\e06e";
}
.oi-globe:before {
content:"\e06f";
}
.oi-graph:before {
content:"\e070";
}
.oi-grid-four-up:before {
content:"\e071";
}
.oi-grid-three-up:before {
content:"\e072";
}
.oi-grid-two-up:before {
content:"\e073";
}
.oi-hard-drive:before {
content:"\e074";
}
.oi-header:before {
content:"\e075";
}
.oi-headphones:before {
content:"\e076";
}
.oi-heart:before {
content:"\e077";
}
.oi-home:before {
content:"\e078";
}
.oi-image:before {
content:"\e079";
}
.oi-inbox:before {
content:"\e07a";
}
.oi-infinity:before {
content:"\e07b";
}
.oi-info:before {
content:"\e07c";
}
.oi-italic:before {
content:"\e07d";
}
.oi-justify-center:before {
content:"\e07e";
}
.oi-justify-left:before {
content:"\e07f";
}
.oi-justify-right:before {
content:"\e080";
}
.oi-key:before {
content:"\e081";
}
.oi-laptop:before {
content:"\e082";
}
.oi-layers:before {
content:"\e083";
}
.oi-lightbulb:before {
content:"\e084";
}
.oi-link-broken:before {
content:"\e085";
}
.oi-link-intact:before {
content:"\e086";
}
.oi-list-rich:before {
content:"\e087";
}
.oi-list:before {
content:"\e088";
}
.oi-location:before {
content:"\e089";
}
.oi-lock-locked:before {
content:"\e08a";
}
.oi-lock-unlocked:before {
content:"\e08b";
}
.oi-loop-circular:before {
content:"\e08c";
}
.oi-loop-square:before {
content:"\e08d";
}
.oi-loop:before {
content:"\e08e";
}
.oi-magnifying-glass:before {
content:"\e08f";
}
.oi-map-marker:before {
content:"\e090";
}
.oi-map:before {
content:"\e091";
}
.oi-media-pause:before {
content:"\e092";
}
.oi-media-play:before {
content:"\e093";
}
.oi-media-record:before {
content:"\e094";
}
.oi-media-skip-backward:before {
content:"\e095";
}
.oi-media-skip-forward:before {
content:"\e096";
}
.oi-media-step-backward:before {
content:"\e097";
}
.oi-media-step-forward:before {
content:"\e098";
}
.oi-media-stop:before {
content:"\e099";
}
.oi-medical-cross:before {
content:"\e09a";
}
.oi-menu:before {
content:"\e09b";
}
.oi-microphone:before {
content:"\e09c";
}
.oi-minus:before {
content:"\e09d";
}
.oi-monitor:before {
content:"\e09e";
}
.oi-moon:before {
content:"\e09f";
}
.oi-move:before {
content:"\e0a0";
}
.oi-musical-note:before {
content:"\e0a1";
}
.oi-paperclip:before {
content:"\e0a2";
}
.oi-pencil:before {
content:"\e0a3";
}
.oi-people:before {
content:"\e0a4";
}
.oi-person:before {
content:"\e0a5";
}
.oi-phone:before {
content:"\e0a6";
}
.oi-pie-chart:before {
content:"\e0a7";
}
.oi-pin:before {
content:"\e0a8";
}
.oi-play-circle:before {
content:"\e0a9";
}
.oi-plus:before {
content:"\e0aa";
}
.oi-power-standby:before {
content:"\e0ab";
}
.oi-print:before {
content:"\e0ac";
}
.oi-project:before {
content:"\e0ad";
}
.oi-pulse:before {
content:"\e0ae";
}
.oi-puzzle-piece:before {
content:"\e0af";
}
.oi-question-mark:before {
content:"\e0b0";
}
.oi-rain:before {
content:"\e0b1";
}
.oi-random:before {
content:"\e0b2";
}
.oi-reload:before {
content:"\e0b3";
}
.oi-resize-both:before {
content:"\e0b4";
}
.oi-resize-height:before {
content:"\e0b5";
}
.oi-resize-width:before {
content:"\e0b6";
}
.oi-rss-alt:before {
content:"\e0b7";
}
.oi-rss:before {
content:"\e0b8";
}
.oi-script:before {
content:"\e0b9";
}
.oi-share-boxed:before {
content:"\e0ba";
}
.oi-share:before {
content:"\e0bb";
}
.oi-shield:before {
content:"\e0bc";
}
.oi-signal:before {
content:"\e0bd";
}
.oi-signpost:before {
content:"\e0be";
}
.oi-sort-ascending:before {
content:"\e0bf";
}
.oi-sort-descending:before {
content:"\e0c0";
}
.oi-spreadsheet:before {
content:"\e0c1";
}
.oi-star:before {
content:"\e0c2";
}
.oi-sun:before {
content:"\e0c3";
}
.oi-tablet:before {
content:"\e0c4";
}
.oi-tag:before {
content:"\e0c5";
}
.oi-tags:before {
content:"\e0c6";
}
.oi-target:before {
content:"\e0c7";
}
.oi-task:before {
content:"\e0c8";
}
.oi-terminal:before {
content:"\e0c9";
}
.oi-text:before {
content:"\e0ca";
}
.oi-thumb-down:before {
content:"\e0cb";
}
.oi-thumb-up:before {
content:"\e0cc";
}
.oi-timer:before {
content:"\e0cd";
}
.oi-transfer:before {
content:"\e0ce";
}
.oi-trash:before {
content:"\e0cf";
}
.oi-underline:before {
content:"\e0d0";
}
.oi-vertical-align-bottom:before {
content:"\e0d1";
}
.oi-vertical-align-center:before {
content:"\e0d2";
}
.oi-vertical-align-top:before {
content:"\e0d3";
}
.oi-video:before {
content:"\e0d4";
}
.oi-volume-high:before {
content:"\e0d5";
}
.oi-volume-low:before {
content:"\e0d6";
}
.oi-volume-off:before {
content:"\e0d7";
}
.oi-warning:before {
content:"\e0d8";
}
.oi-wifi:before {
content:"\e0d9";
}
.oi-wrench:before {
content:"\e0da";
}
.oi-x:before {
content:"\e0db";
}
.oi-yen:before {
content:"\e0dc";
}
.oi-zoom-in:before {
content:"\e0dd";
}
.oi-zoom-out:before {
content:"\e0de";
}

File diff suppressed because one or more lines are too long

View File

@ -0,0 +1,958 @@
/* Bootstrap */
/* Override Bootstrap default variable */
$icon-font-path: '../fonts/' !default;
@font-face {
font-family: 'Icons';
src: url('#{$icon-font-path}open-iconic.eot');
src: url('#{$icon-font-path}open-iconic.eot?#iconic-sm') format('embedded-opentype'), url('#{$icon-font-path}open-iconic.woff') format('woff'), url('#{$icon-font-path}open-iconic.ttf') format('truetype'), url('#{$icon-font-path}open-iconic.svg#iconic-sm') format('svg');
font-weight: normal;
font-style: normal;
}
// Catchall baseclass
.oi {
position: relative;
top: 1px;
display: inline-block;
font-family: 'Icons';
font-style: normal;
font-weight: normal;
line-height: 1;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
&:empty:before {
width: 1em;
text-align: center;
box-sizing: content-box;
}
&.oi-align-center:before {
text-align: center;
}
&.oi-align-left:before {
text-align: left;
}
&.oi-align-right:before {
text-align: right;
}
&.oi-flip-horizontal:before {
-webkit-transform: scale(-1, 1);
-ms-transform: scale(-1, 1);
transform: scale(-1, 1);
}
&.oi-flip-vertical:before {
-webkit-transform: scale(1, -1);
-ms-transform: scale(-1, 1);
transform: scale(1, -1);
}
&.oi-flip-horizontal-vertical:before {
-webkit-transform: scale(-1, -1);
-ms-transform: scale(-1, 1);
transform: scale(-1, -1);
}
}
.oi-account-login:before {
content:'\e000';
}
.oi-account-logout:before {
content:'\e001';
}
.oi-action-redo:before {
content:'\e002';
}
.oi-action-undo:before {
content:'\e003';
}
.oi-align-center:before {
content:'\e004';
}
.oi-align-left:before {
content:'\e005';
}
.oi-align-right:before {
content:'\e006';
}
.oi-aperture:before {
content:'\e007';
}
.oi-arrow-bottom:before {
content:'\e008';
}
.oi-arrow-circle-bottom:before {
content:'\e009';
}
.oi-arrow-circle-left:before {
content:'\e00a';
}
.oi-arrow-circle-right:before {
content:'\e00b';
}
.oi-arrow-circle-top:before {
content:'\e00c';
}
.oi-arrow-left:before {
content:'\e00d';
}
.oi-arrow-right:before {
content:'\e00e';
}
.oi-arrow-thick-bottom:before {
content:'\e00f';
}
.oi-arrow-thick-left:before {
content:'\e010';
}
.oi-arrow-thick-right:before {
content:'\e011';
}
.oi-arrow-thick-top:before {
content:'\e012';
}
.oi-arrow-top:before {
content:'\e013';
}
.oi-audio-spectrum:before {
content:'\e014';
}
.oi-audio:before {
content:'\e015';
}
.oi-badge:before {
content:'\e016';
}
.oi-ban:before {
content:'\e017';
}
.oi-bar-chart:before {
content:'\e018';
}
.oi-basket:before {
content:'\e019';
}
.oi-battery-empty:before {
content:'\e01a';
}
.oi-battery-full:before {
content:'\e01b';
}
.oi-beaker:before {
content:'\e01c';
}
.oi-bell:before {
content:'\e01d';
}
.oi-bluetooth:before {
content:'\e01e';
}
.oi-bold:before {
content:'\e01f';
}
.oi-bolt:before {
content:'\e020';
}
.oi-book:before {
content:'\e021';
}
.oi-bookmark:before {
content:'\e022';
}
.oi-box:before {
content:'\e023';
}
.oi-briefcase:before {
content:'\e024';
}
.oi-british-pound:before {
content:'\e025';
}
.oi-browser:before {
content:'\e026';
}
.oi-brush:before {
content:'\e027';
}
.oi-bug:before {
content:'\e028';
}
.oi-bullhorn:before {
content:'\e029';
}
.oi-calculator:before {
content:'\e02a';
}
.oi-calendar:before {
content:'\e02b';
}
.oi-camera-slr:before {
content:'\e02c';
}
.oi-caret-bottom:before {
content:'\e02d';
}
.oi-caret-left:before {
content:'\e02e';
}
.oi-caret-right:before {
content:'\e02f';
}
.oi-caret-top:before {
content:'\e030';
}
.oi-cart:before {
content:'\e031';
}
.oi-chat:before {
content:'\e032';
}
.oi-check:before {
content:'\e033';
}
.oi-chevron-bottom:before {
content:'\e034';
}
.oi-chevron-left:before {
content:'\e035';
}
.oi-chevron-right:before {
content:'\e036';
}
.oi-chevron-top:before {
content:'\e037';
}
.oi-circle-check:before {
content:'\e038';
}
.oi-circle-x:before {
content:'\e039';
}
.oi-clipboard:before {
content:'\e03a';
}
.oi-clock:before {
content:'\e03b';
}
.oi-cloud-download:before {
content:'\e03c';
}
.oi-cloud-upload:before {
content:'\e03d';
}
.oi-cloud:before {
content:'\e03e';
}
.oi-cloudy:before {
content:'\e03f';
}
.oi-code:before {
content:'\e040';
}
.oi-cog:before {
content:'\e041';
}
.oi-collapse-down:before {
content:'\e042';
}
.oi-collapse-left:before {
content:'\e043';
}
.oi-collapse-right:before {
content:'\e044';
}
.oi-collapse-up:before {
content:'\e045';
}
.oi-command:before {
content:'\e046';
}
.oi-comment-square:before {
content:'\e047';
}
.oi-compass:before {
content:'\e048';
}
.oi-contrast:before {
content:'\e049';
}
.oi-copywriting:before {
content:'\e04a';
}
.oi-credit-card:before {
content:'\e04b';
}
.oi-crop:before {
content:'\e04c';
}
.oi-dashboard:before {
content:'\e04d';
}
.oi-data-transfer-download:before {
content:'\e04e';
}
.oi-data-transfer-upload:before {
content:'\e04f';
}
.oi-delete:before {
content:'\e050';
}
.oi-dial:before {
content:'\e051';
}
.oi-document:before {
content:'\e052';
}
.oi-dollar:before {
content:'\e053';
}
.oi-double-quote-sans-left:before {
content:'\e054';
}
.oi-double-quote-sans-right:before {
content:'\e055';
}
.oi-double-quote-serif-left:before {
content:'\e056';
}
.oi-double-quote-serif-right:before {
content:'\e057';
}
.oi-droplet:before {
content:'\e058';
}
.oi-eject:before {
content:'\e059';
}
.oi-elevator:before {
content:'\e05a';
}
.oi-ellipses:before {
content:'\e05b';
}
.oi-envelope-closed:before {
content:'\e05c';
}
.oi-envelope-open:before {
content:'\e05d';
}
.oi-euro:before {
content:'\e05e';
}
.oi-excerpt:before {
content:'\e05f';
}
.oi-expand-down:before {
content:'\e060';
}
.oi-expand-left:before {
content:'\e061';
}
.oi-expand-right:before {
content:'\e062';
}
.oi-expand-up:before {
content:'\e063';
}
.oi-external-link:before {
content:'\e064';
}
.oi-eye:before {
content:'\e065';
}
.oi-eyedropper:before {
content:'\e066';
}
.oi-file:before {
content:'\e067';
}
.oi-fire:before {
content:'\e068';
}
.oi-flag:before {
content:'\e069';
}
.oi-flash:before {
content:'\e06a';
}
.oi-folder:before {
content:'\e06b';
}
.oi-fork:before {
content:'\e06c';
}
.oi-fullscreen-enter:before {
content:'\e06d';
}
.oi-fullscreen-exit:before {
content:'\e06e';
}
.oi-globe:before {
content:'\e06f';
}
.oi-graph:before {
content:'\e070';
}
.oi-grid-four-up:before {
content:'\e071';
}
.oi-grid-three-up:before {
content:'\e072';
}
.oi-grid-two-up:before {
content:'\e073';
}
.oi-hard-drive:before {
content:'\e074';
}
.oi-header:before {
content:'\e075';
}
.oi-headphones:before {
content:'\e076';
}
.oi-heart:before {
content:'\e077';
}
.oi-home:before {
content:'\e078';
}
.oi-image:before {
content:'\e079';
}
.oi-inbox:before {
content:'\e07a';
}
.oi-infinity:before {
content:'\e07b';
}
.oi-info:before {
content:'\e07c';
}
.oi-italic:before {
content:'\e07d';
}
.oi-justify-center:before {
content:'\e07e';
}
.oi-justify-left:before {
content:'\e07f';
}
.oi-justify-right:before {
content:'\e080';
}
.oi-key:before {
content:'\e081';
}
.oi-laptop:before {
content:'\e082';
}
.oi-layers:before {
content:'\e083';
}
.oi-lightbulb:before {
content:'\e084';
}
.oi-link-broken:before {
content:'\e085';
}
.oi-link-intact:before {
content:'\e086';
}
.oi-list-rich:before {
content:'\e087';
}
.oi-list:before {
content:'\e088';
}
.oi-location:before {
content:'\e089';
}
.oi-lock-locked:before {
content:'\e08a';
}
.oi-lock-unlocked:before {
content:'\e08b';
}
.oi-loop-circular:before {
content:'\e08c';
}
.oi-loop-square:before {
content:'\e08d';
}
.oi-loop:before {
content:'\e08e';
}
.oi-magnifying-glass:before {
content:'\e08f';
}
.oi-map-marker:before {
content:'\e090';
}
.oi-map:before {
content:'\e091';
}
.oi-media-pause:before {
content:'\e092';
}
.oi-media-play:before {
content:'\e093';
}
.oi-media-record:before {
content:'\e094';
}
.oi-media-skip-backward:before {
content:'\e095';
}
.oi-media-skip-forward:before {
content:'\e096';
}
.oi-media-step-backward:before {
content:'\e097';
}
.oi-media-step-forward:before {
content:'\e098';
}
.oi-media-stop:before {
content:'\e099';
}
.oi-medical-cross:before {
content:'\e09a';
}
.oi-menu:before {
content:'\e09b';
}
.oi-microphone:before {
content:'\e09c';
}
.oi-minus:before {
content:'\e09d';
}
.oi-monitor:before {
content:'\e09e';
}
.oi-moon:before {
content:'\e09f';
}
.oi-move:before {
content:'\e0a0';
}
.oi-musical-note:before {
content:'\e0a1';
}
.oi-paperclip:before {
content:'\e0a2';
}
.oi-pencil:before {
content:'\e0a3';
}
.oi-people:before {
content:'\e0a4';
}
.oi-person:before {
content:'\e0a5';
}
.oi-phone:before {
content:'\e0a6';
}
.oi-pie-chart:before {
content:'\e0a7';
}
.oi-pin:before {
content:'\e0a8';
}
.oi-play-circle:before {
content:'\e0a9';
}
.oi-plus:before {
content:'\e0aa';
}
.oi-power-standby:before {
content:'\e0ab';
}
.oi-print:before {
content:'\e0ac';
}
.oi-project:before {
content:'\e0ad';
}
.oi-pulse:before {
content:'\e0ae';
}
.oi-puzzle-piece:before {
content:'\e0af';
}
.oi-question-mark:before {
content:'\e0b0';
}
.oi-rain:before {
content:'\e0b1';
}
.oi-random:before {
content:'\e0b2';
}
.oi-reload:before {
content:'\e0b3';
}
.oi-resize-both:before {
content:'\e0b4';
}
.oi-resize-height:before {
content:'\e0b5';
}
.oi-resize-width:before {
content:'\e0b6';
}
.oi-rss-alt:before {
content:'\e0b7';
}
.oi-rss:before {
content:'\e0b8';
}
.oi-script:before {
content:'\e0b9';
}
.oi-share-boxed:before {
content:'\e0ba';
}
.oi-share:before {
content:'\e0bb';
}
.oi-shield:before {
content:'\e0bc';
}
.oi-signal:before {
content:'\e0bd';
}
.oi-signpost:before {
content:'\e0be';
}
.oi-sort-ascending:before {
content:'\e0bf';
}
.oi-sort-descending:before {
content:'\e0c0';
}
.oi-spreadsheet:before {
content:'\e0c1';
}
.oi-star:before {
content:'\e0c2';
}
.oi-sun:before {
content:'\e0c3';
}
.oi-tablet:before {
content:'\e0c4';
}
.oi-tag:before {
content:'\e0c5';
}
.oi-tags:before {
content:'\e0c6';
}
.oi-target:before {
content:'\e0c7';
}
.oi-task:before {
content:'\e0c8';
}
.oi-terminal:before {
content:'\e0c9';
}
.oi-text:before {
content:'\e0ca';
}
.oi-thumb-down:before {
content:'\e0cb';
}
.oi-thumb-up:before {
content:'\e0cc';
}
.oi-timer:before {
content:'\e0cd';
}
.oi-transfer:before {
content:'\e0ce';
}
.oi-trash:before {
content:'\e0cf';
}
.oi-underline:before {
content:'\e0d0';
}
.oi-vertical-align-bottom:before {
content:'\e0d1';
}
.oi-vertical-align-center:before {
content:'\e0d2';
}
.oi-vertical-align-top:before {
content:'\e0d3';
}
.oi-video:before {
content:'\e0d4';
}
.oi-volume-high:before {
content:'\e0d5';
}
.oi-volume-low:before {
content:'\e0d6';
}
.oi-volume-off:before {
content:'\e0d7';
}
.oi-warning:before {
content:'\e0d8';
}
.oi-wifi:before {
content:'\e0d9';
}
.oi-wrench:before {
content:'\e0da';
}
.oi-x:before {
content:'\e0db';
}
.oi-yen:before {
content:'\e0dc';
}
.oi-zoom-in:before {
content:'\e0dd';
}
.oi-zoom-out:before {
content:'\e0de';
}

View File

@ -0,0 +1,954 @@
/* Bootstrap */
@font-face
font-family 'Icons'
src url('../fonts/open-iconic.eot')
src url('../fonts/open-iconic.eot?#iconic-sm') format('embedded-opentype'), url('../fonts/open-iconic.woff') format('woff'), url('../fonts/open-iconic.ttf') format('truetype'), url('../fonts/open-iconic.svg#iconic-sm') format('svg')
font-weight normal
font-style normal
// Catchall baseclass
.oi
position relative
top 1px
display inline-block
font-family 'Icons'
font-style normal
font-weight normal
line-height 1
-webkit-font-smoothing antialiased
-moz-osx-font-smoothing grayscale
&:empty:before
width 1em
text-align center
box-sizing content-box
&.oi-align-center:before
text-align center
&.oi-align-left:before
text-align left
&.oi-align-right:before
text-align right
&.oi-flip-horizontal:before
-webkit-transform scale(-1, 1)
-ms-transform scale(-1, 1)
transform scale(-1, 1)
&.oi-flip-vertical:before
-webkit-transform scale(1, -1)
-ms-transform scale(-1, 1)
transform scale(1, -1)
&.oi-flip-horizontal-vertical:before
-webkit-transform scale(-1, -1)
-ms-transform scale(-1, 1)
transform scale(-1, -1)
.oi-account-login:before {
content'\e000'
}
.oi-account-logout:before {
content'\e001'
}
.oi-action-redo:before {
content'\e002'
}
.oi-action-undo:before {
content'\e003'
}
.oi-align-center:before {
content'\e004'
}
.oi-align-left:before {
content'\e005'
}
.oi-align-right:before {
content'\e006'
}
.oi-aperture:before {
content'\e007'
}
.oi-arrow-bottom:before {
content'\e008'
}
.oi-arrow-circle-bottom:before {
content'\e009'
}
.oi-arrow-circle-left:before {
content'\e00a'
}
.oi-arrow-circle-right:before {
content'\e00b'
}
.oi-arrow-circle-top:before {
content'\e00c'
}
.oi-arrow-left:before {
content'\e00d'
}
.oi-arrow-right:before {
content'\e00e'
}
.oi-arrow-thick-bottom:before {
content'\e00f'
}
.oi-arrow-thick-left:before {
content'\e010'
}
.oi-arrow-thick-right:before {
content'\e011'
}
.oi-arrow-thick-top:before {
content'\e012'
}
.oi-arrow-top:before {
content'\e013'
}
.oi-audio-spectrum:before {
content'\e014'
}
.oi-audio:before {
content'\e015'
}
.oi-badge:before {
content'\e016'
}
.oi-ban:before {
content'\e017'
}
.oi-bar-chart:before {
content'\e018'
}
.oi-basket:before {
content'\e019'
}
.oi-battery-empty:before {
content'\e01a'
}
.oi-battery-full:before {
content'\e01b'
}
.oi-beaker:before {
content'\e01c'
}
.oi-bell:before {
content'\e01d'
}
.oi-bluetooth:before {
content'\e01e'
}
.oi-bold:before {
content'\e01f'
}
.oi-bolt:before {
content'\e020'
}
.oi-book:before {
content'\e021'
}
.oi-bookmark:before {
content'\e022'
}
.oi-box:before {
content'\e023'
}
.oi-briefcase:before {
content'\e024'
}
.oi-british-pound:before {
content'\e025'
}
.oi-browser:before {
content'\e026'
}
.oi-brush:before {
content'\e027'
}
.oi-bug:before {
content'\e028'
}
.oi-bullhorn:before {
content'\e029'
}
.oi-calculator:before {
content'\e02a'
}
.oi-calendar:before {
content'\e02b'
}
.oi-camera-slr:before {
content'\e02c'
}
.oi-caret-bottom:before {
content'\e02d'
}
.oi-caret-left:before {
content'\e02e'
}
.oi-caret-right:before {
content'\e02f'
}
.oi-caret-top:before {
content'\e030'
}
.oi-cart:before {
content'\e031'
}
.oi-chat:before {
content'\e032'
}
.oi-check:before {
content'\e033'
}
.oi-chevron-bottom:before {
content'\e034'
}
.oi-chevron-left:before {
content'\e035'
}
.oi-chevron-right:before {
content'\e036'
}
.oi-chevron-top:before {
content'\e037'
}
.oi-circle-check:before {
content'\e038'
}
.oi-circle-x:before {
content'\e039'
}
.oi-clipboard:before {
content'\e03a'
}
.oi-clock:before {
content'\e03b'
}
.oi-cloud-download:before {
content'\e03c'
}
.oi-cloud-upload:before {
content'\e03d'
}
.oi-cloud:before {
content'\e03e'
}
.oi-cloudy:before {
content'\e03f'
}
.oi-code:before {
content'\e040'
}
.oi-cog:before {
content'\e041'
}
.oi-collapse-down:before {
content'\e042'
}
.oi-collapse-left:before {
content'\e043'
}
.oi-collapse-right:before {
content'\e044'
}
.oi-collapse-up:before {
content'\e045'
}
.oi-command:before {
content'\e046'
}
.oi-comment-square:before {
content'\e047'
}
.oi-compass:before {
content'\e048'
}
.oi-contrast:before {
content'\e049'
}
.oi-copywriting:before {
content'\e04a'
}
.oi-credit-card:before {
content'\e04b'
}
.oi-crop:before {
content'\e04c'
}
.oi-dashboard:before {
content'\e04d'
}
.oi-data-transfer-download:before {
content'\e04e'
}
.oi-data-transfer-upload:before {
content'\e04f'
}
.oi-delete:before {
content'\e050'
}
.oi-dial:before {
content'\e051'
}
.oi-document:before {
content'\e052'
}
.oi-dollar:before {
content'\e053'
}
.oi-double-quote-sans-left:before {
content'\e054'
}
.oi-double-quote-sans-right:before {
content'\e055'
}
.oi-double-quote-serif-left:before {
content'\e056'
}
.oi-double-quote-serif-right:before {
content'\e057'
}
.oi-droplet:before {
content'\e058'
}
.oi-eject:before {
content'\e059'
}
.oi-elevator:before {
content'\e05a'
}
.oi-ellipses:before {
content'\e05b'
}
.oi-envelope-closed:before {
content'\e05c'
}
.oi-envelope-open:before {
content'\e05d'
}
.oi-euro:before {
content'\e05e'
}
.oi-excerpt:before {
content'\e05f'
}
.oi-expand-down:before {
content'\e060'
}
.oi-expand-left:before {
content'\e061'
}
.oi-expand-right:before {
content'\e062'
}
.oi-expand-up:before {
content'\e063'
}
.oi-external-link:before {
content'\e064'
}
.oi-eye:before {
content'\e065'
}
.oi-eyedropper:before {
content'\e066'
}
.oi-file:before {
content'\e067'
}
.oi-fire:before {
content'\e068'
}
.oi-flag:before {
content'\e069'
}
.oi-flash:before {
content'\e06a'
}
.oi-folder:before {
content'\e06b'
}
.oi-fork:before {
content'\e06c'
}
.oi-fullscreen-enter:before {
content'\e06d'
}
.oi-fullscreen-exit:before {
content'\e06e'
}
.oi-globe:before {
content'\e06f'
}
.oi-graph:before {
content'\e070'
}
.oi-grid-four-up:before {
content'\e071'
}
.oi-grid-three-up:before {
content'\e072'
}
.oi-grid-two-up:before {
content'\e073'
}
.oi-hard-drive:before {
content'\e074'
}
.oi-header:before {
content'\e075'
}
.oi-headphones:before {
content'\e076'
}
.oi-heart:before {
content'\e077'
}
.oi-home:before {
content'\e078'
}
.oi-image:before {
content'\e079'
}
.oi-inbox:before {
content'\e07a'
}
.oi-infinity:before {
content'\e07b'
}
.oi-info:before {
content'\e07c'
}
.oi-italic:before {
content'\e07d'
}
.oi-justify-center:before {
content'\e07e'
}
.oi-justify-left:before {
content'\e07f'
}
.oi-justify-right:before {
content'\e080'
}
.oi-key:before {
content'\e081'
}
.oi-laptop:before {
content'\e082'
}
.oi-layers:before {
content'\e083'
}
.oi-lightbulb:before {
content'\e084'
}
.oi-link-broken:before {
content'\e085'
}
.oi-link-intact:before {
content'\e086'
}
.oi-list-rich:before {
content'\e087'
}
.oi-list:before {
content'\e088'
}
.oi-location:before {
content'\e089'
}
.oi-lock-locked:before {
content'\e08a'
}
.oi-lock-unlocked:before {
content'\e08b'
}
.oi-loop-circular:before {
content'\e08c'
}
.oi-loop-square:before {
content'\e08d'
}
.oi-loop:before {
content'\e08e'
}
.oi-magnifying-glass:before {
content'\e08f'
}
.oi-map-marker:before {
content'\e090'
}
.oi-map:before {
content'\e091'
}
.oi-media-pause:before {
content'\e092'
}
.oi-media-play:before {
content'\e093'
}
.oi-media-record:before {
content'\e094'
}
.oi-media-skip-backward:before {
content'\e095'
}
.oi-media-skip-forward:before {
content'\e096'
}
.oi-media-step-backward:before {
content'\e097'
}
.oi-media-step-forward:before {
content'\e098'
}
.oi-media-stop:before {
content'\e099'
}
.oi-medical-cross:before {
content'\e09a'
}
.oi-menu:before {
content'\e09b'
}
.oi-microphone:before {
content'\e09c'
}
.oi-minus:before {
content'\e09d'
}
.oi-monitor:before {
content'\e09e'
}
.oi-moon:before {
content'\e09f'
}
.oi-move:before {
content'\e0a0'
}
.oi-musical-note:before {
content'\e0a1'
}
.oi-paperclip:before {
content'\e0a2'
}
.oi-pencil:before {
content'\e0a3'
}
.oi-people:before {
content'\e0a4'
}
.oi-person:before {
content'\e0a5'
}
.oi-phone:before {
content'\e0a6'
}
.oi-pie-chart:before {
content'\e0a7'
}
.oi-pin:before {
content'\e0a8'
}
.oi-play-circle:before {
content'\e0a9'
}
.oi-plus:before {
content'\e0aa'
}
.oi-power-standby:before {
content'\e0ab'
}
.oi-print:before {
content'\e0ac'
}
.oi-project:before {
content'\e0ad'
}
.oi-pulse:before {
content'\e0ae'
}
.oi-puzzle-piece:before {
content'\e0af'
}
.oi-question-mark:before {
content'\e0b0'
}
.oi-rain:before {
content'\e0b1'
}
.oi-random:before {
content'\e0b2'
}
.oi-reload:before {
content'\e0b3'
}
.oi-resize-both:before {
content'\e0b4'
}
.oi-resize-height:before {
content'\e0b5'
}
.oi-resize-width:before {
content'\e0b6'
}
.oi-rss-alt:before {
content'\e0b7'
}
.oi-rss:before {
content'\e0b8'
}
.oi-script:before {
content'\e0b9'
}
.oi-share-boxed:before {
content'\e0ba'
}
.oi-share:before {
content'\e0bb'
}
.oi-shield:before {
content'\e0bc'
}
.oi-signal:before {
content'\e0bd'
}
.oi-signpost:before {
content'\e0be'
}
.oi-sort-ascending:before {
content'\e0bf'
}
.oi-sort-descending:before {
content'\e0c0'
}
.oi-spreadsheet:before {
content'\e0c1'
}
.oi-star:before {
content'\e0c2'
}
.oi-sun:before {
content'\e0c3'
}
.oi-tablet:before {
content'\e0c4'
}
.oi-tag:before {
content'\e0c5'
}
.oi-tags:before {
content'\e0c6'
}
.oi-target:before {
content'\e0c7'
}
.oi-task:before {
content'\e0c8'
}
.oi-terminal:before {
content'\e0c9'
}
.oi-text:before {
content'\e0ca'
}
.oi-thumb-down:before {
content'\e0cb'
}
.oi-thumb-up:before {
content'\e0cc'
}
.oi-timer:before {
content'\e0cd'
}
.oi-transfer:before {
content'\e0ce'
}
.oi-trash:before {
content'\e0cf'
}
.oi-underline:before {
content'\e0d0'
}
.oi-vertical-align-bottom:before {
content'\e0d1'
}
.oi-vertical-align-center:before {
content'\e0d2'
}
.oi-vertical-align-top:before {
content'\e0d3'
}
.oi-video:before {
content'\e0d4'
}
.oi-volume-high:before {
content'\e0d5'
}
.oi-volume-low:before {
content'\e0d6'
}
.oi-volume-off:before {
content'\e0d7'
}
.oi-warning:before {
content'\e0d8'
}
.oi-wifi:before {
content'\e0d9'
}
.oi-wrench:before {
content'\e0da'
}
.oi-x:before {
content'\e0db'
}
.oi-yen:before {
content'\e0dc'
}
.oi-zoom-in:before {
content'\e0dd'
}
.oi-zoom-out:before {
content'\e0de'
}

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@ -0,0 +1,511 @@
@font-face {
font-family: 'Icons';
src: url('../fonts/open-iconic.eot');
src: url('../fonts/open-iconic.eot?#iconic-sm') format('embedded-opentype'), url('../fonts/open-iconic.woff') format('woff'), url('../fonts/open-iconic.ttf') format('truetype'), url('../fonts/open-iconic.otf') format('opentype'), url('../fonts/open-iconic.svg#iconic-sm') format('svg');
font-weight: normal;
font-style: normal;
}
.oi[data-glyph].oi-text-replace {
font-size: 0;
line-height: 0;
}
.oi[data-glyph].oi-text-replace:before {
width: 1em;
text-align: center;
}
.oi[data-glyph]:before {
font-family: 'Icons';
display: inline-block;
speak: none;
line-height: 1;
vertical-align: baseline;
font-weight: normal;
font-style: normal;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}
.oi[data-glyph]:empty:before {
width: 1em;
text-align: center;
box-sizing: content-box;
}
.oi[data-glyph].oi-align-left:before {
text-align: left;
}
.oi[data-glyph].oi-align-right:before {
text-align: right;
}
.oi[data-glyph].oi-align-center:before {
text-align: center;
}
.oi[data-glyph].oi-flip-horizontal:before {
-webkit-transform: scale(-1, 1);
-ms-transform: scale(-1, 1);
transform: scale(-1, 1);
}
.oi[data-glyph].oi-flip-vertical:before {
-webkit-transform: scale(1, -1);
-ms-transform: scale(-1, 1);
transform: scale(1, -1);
}
.oi[data-glyph].oi-flip-horizontal-vertical:before {
-webkit-transform: scale(-1, -1);
-ms-transform: scale(-1, 1);
transform: scale(-1, -1);
}
.oi[data-glyph=account-login]:before { content:'\e000'; }
.oi[data-glyph=account-logout]:before { content:'\e001'; }
.oi[data-glyph=action-redo]:before { content:'\e002'; }
.oi[data-glyph=action-undo]:before { content:'\e003'; }
.oi[data-glyph=align-center]:before { content:'\e004'; }
.oi[data-glyph=align-left]:before { content:'\e005'; }
.oi[data-glyph=align-right]:before { content:'\e006'; }
.oi[data-glyph=aperture]:before { content:'\e007'; }
.oi[data-glyph=arrow-bottom]:before { content:'\e008'; }
.oi[data-glyph=arrow-circle-bottom]:before { content:'\e009'; }
.oi[data-glyph=arrow-circle-left]:before { content:'\e00a'; }
.oi[data-glyph=arrow-circle-right]:before { content:'\e00b'; }
.oi[data-glyph=arrow-circle-top]:before { content:'\e00c'; }
.oi[data-glyph=arrow-left]:before { content:'\e00d'; }
.oi[data-glyph=arrow-right]:before { content:'\e00e'; }
.oi[data-glyph=arrow-thick-bottom]:before { content:'\e00f'; }
.oi[data-glyph=arrow-thick-left]:before { content:'\e010'; }
.oi[data-glyph=arrow-thick-right]:before { content:'\e011'; }
.oi[data-glyph=arrow-thick-top]:before { content:'\e012'; }
.oi[data-glyph=arrow-top]:before { content:'\e013'; }
.oi[data-glyph=audio-spectrum]:before { content:'\e014'; }
.oi[data-glyph=audio]:before { content:'\e015'; }
.oi[data-glyph=badge]:before { content:'\e016'; }
.oi[data-glyph=ban]:before { content:'\e017'; }
.oi[data-glyph=bar-chart]:before { content:'\e018'; }
.oi[data-glyph=basket]:before { content:'\e019'; }
.oi[data-glyph=battery-empty]:before { content:'\e01a'; }
.oi[data-glyph=battery-full]:before { content:'\e01b'; }
.oi[data-glyph=beaker]:before { content:'\e01c'; }
.oi[data-glyph=bell]:before { content:'\e01d'; }
.oi[data-glyph=bluetooth]:before { content:'\e01e'; }
.oi[data-glyph=bold]:before { content:'\e01f'; }
.oi[data-glyph=bolt]:before { content:'\e020'; }
.oi[data-glyph=book]:before { content:'\e021'; }
.oi[data-glyph=bookmark]:before { content:'\e022'; }
.oi[data-glyph=box]:before { content:'\e023'; }
.oi[data-glyph=briefcase]:before { content:'\e024'; }
.oi[data-glyph=british-pound]:before { content:'\e025'; }
.oi[data-glyph=browser]:before { content:'\e026'; }
.oi[data-glyph=brush]:before { content:'\e027'; }
.oi[data-glyph=bug]:before { content:'\e028'; }
.oi[data-glyph=bullhorn]:before { content:'\e029'; }
.oi[data-glyph=calculator]:before { content:'\e02a'; }
.oi[data-glyph=calendar]:before { content:'\e02b'; }
.oi[data-glyph=camera-slr]:before { content:'\e02c'; }
.oi[data-glyph=caret-bottom]:before { content:'\e02d'; }
.oi[data-glyph=caret-left]:before { content:'\e02e'; }
.oi[data-glyph=caret-right]:before { content:'\e02f'; }
.oi[data-glyph=caret-top]:before { content:'\e030'; }
.oi[data-glyph=cart]:before { content:'\e031'; }
.oi[data-glyph=chat]:before { content:'\e032'; }
.oi[data-glyph=check]:before { content:'\e033'; }
.oi[data-glyph=chevron-bottom]:before { content:'\e034'; }
.oi[data-glyph=chevron-left]:before { content:'\e035'; }
.oi[data-glyph=chevron-right]:before { content:'\e036'; }
.oi[data-glyph=chevron-top]:before { content:'\e037'; }
.oi[data-glyph=circle-check]:before { content:'\e038'; }
.oi[data-glyph=circle-x]:before { content:'\e039'; }
.oi[data-glyph=clipboard]:before { content:'\e03a'; }
.oi[data-glyph=clock]:before { content:'\e03b'; }
.oi[data-glyph=cloud-download]:before { content:'\e03c'; }
.oi[data-glyph=cloud-upload]:before { content:'\e03d'; }
.oi[data-glyph=cloud]:before { content:'\e03e'; }
.oi[data-glyph=cloudy]:before { content:'\e03f'; }
.oi[data-glyph=code]:before { content:'\e040'; }
.oi[data-glyph=cog]:before { content:'\e041'; }
.oi[data-glyph=collapse-down]:before { content:'\e042'; }
.oi[data-glyph=collapse-left]:before { content:'\e043'; }
.oi[data-glyph=collapse-right]:before { content:'\e044'; }
.oi[data-glyph=collapse-up]:before { content:'\e045'; }
.oi[data-glyph=command]:before { content:'\e046'; }
.oi[data-glyph=comment-square]:before { content:'\e047'; }
.oi[data-glyph=compass]:before { content:'\e048'; }
.oi[data-glyph=contrast]:before { content:'\e049'; }
.oi[data-glyph=copywriting]:before { content:'\e04a'; }
.oi[data-glyph=credit-card]:before { content:'\e04b'; }
.oi[data-glyph=crop]:before { content:'\e04c'; }
.oi[data-glyph=dashboard]:before { content:'\e04d'; }
.oi[data-glyph=data-transfer-download]:before { content:'\e04e'; }
.oi[data-glyph=data-transfer-upload]:before { content:'\e04f'; }
.oi[data-glyph=delete]:before { content:'\e050'; }
.oi[data-glyph=dial]:before { content:'\e051'; }
.oi[data-glyph=document]:before { content:'\e052'; }
.oi[data-glyph=dollar]:before { content:'\e053'; }
.oi[data-glyph=double-quote-sans-left]:before { content:'\e054'; }
.oi[data-glyph=double-quote-sans-right]:before { content:'\e055'; }
.oi[data-glyph=double-quote-serif-left]:before { content:'\e056'; }
.oi[data-glyph=double-quote-serif-right]:before { content:'\e057'; }
.oi[data-glyph=droplet]:before { content:'\e058'; }
.oi[data-glyph=eject]:before { content:'\e059'; }
.oi[data-glyph=elevator]:before { content:'\e05a'; }
.oi[data-glyph=ellipses]:before { content:'\e05b'; }
.oi[data-glyph=envelope-closed]:before { content:'\e05c'; }
.oi[data-glyph=envelope-open]:before { content:'\e05d'; }
.oi[data-glyph=euro]:before { content:'\e05e'; }
.oi[data-glyph=excerpt]:before { content:'\e05f'; }
.oi[data-glyph=expand-down]:before { content:'\e060'; }
.oi[data-glyph=expand-left]:before { content:'\e061'; }
.oi[data-glyph=expand-right]:before { content:'\e062'; }
.oi[data-glyph=expand-up]:before { content:'\e063'; }
.oi[data-glyph=external-link]:before { content:'\e064'; }
.oi[data-glyph=eye]:before { content:'\e065'; }
.oi[data-glyph=eyedropper]:before { content:'\e066'; }
.oi[data-glyph=file]:before { content:'\e067'; }
.oi[data-glyph=fire]:before { content:'\e068'; }
.oi[data-glyph=flag]:before { content:'\e069'; }
.oi[data-glyph=flash]:before { content:'\e06a'; }
.oi[data-glyph=folder]:before { content:'\e06b'; }
.oi[data-glyph=fork]:before { content:'\e06c'; }
.oi[data-glyph=fullscreen-enter]:before { content:'\e06d'; }
.oi[data-glyph=fullscreen-exit]:before { content:'\e06e'; }
.oi[data-glyph=globe]:before { content:'\e06f'; }
.oi[data-glyph=graph]:before { content:'\e070'; }
.oi[data-glyph=grid-four-up]:before { content:'\e071'; }
.oi[data-glyph=grid-three-up]:before { content:'\e072'; }
.oi[data-glyph=grid-two-up]:before { content:'\e073'; }
.oi[data-glyph=hard-drive]:before { content:'\e074'; }
.oi[data-glyph=header]:before { content:'\e075'; }
.oi[data-glyph=headphones]:before { content:'\e076'; }
.oi[data-glyph=heart]:before { content:'\e077'; }
.oi[data-glyph=home]:before { content:'\e078'; }
.oi[data-glyph=image]:before { content:'\e079'; }
.oi[data-glyph=inbox]:before { content:'\e07a'; }
.oi[data-glyph=infinity]:before { content:'\e07b'; }
.oi[data-glyph=info]:before { content:'\e07c'; }
.oi[data-glyph=italic]:before { content:'\e07d'; }
.oi[data-glyph=justify-center]:before { content:'\e07e'; }
.oi[data-glyph=justify-left]:before { content:'\e07f'; }
.oi[data-glyph=justify-right]:before { content:'\e080'; }
.oi[data-glyph=key]:before { content:'\e081'; }
.oi[data-glyph=laptop]:before { content:'\e082'; }
.oi[data-glyph=layers]:before { content:'\e083'; }
.oi[data-glyph=lightbulb]:before { content:'\e084'; }
.oi[data-glyph=link-broken]:before { content:'\e085'; }
.oi[data-glyph=link-intact]:before { content:'\e086'; }
.oi[data-glyph=list-rich]:before { content:'\e087'; }
.oi[data-glyph=list]:before { content:'\e088'; }
.oi[data-glyph=location]:before { content:'\e089'; }
.oi[data-glyph=lock-locked]:before { content:'\e08a'; }
.oi[data-glyph=lock-unlocked]:before { content:'\e08b'; }
.oi[data-glyph=loop-circular]:before { content:'\e08c'; }
.oi[data-glyph=loop-square]:before { content:'\e08d'; }
.oi[data-glyph=loop]:before { content:'\e08e'; }
.oi[data-glyph=magnifying-glass]:before { content:'\e08f'; }
.oi[data-glyph=map-marker]:before { content:'\e090'; }
.oi[data-glyph=map]:before { content:'\e091'; }
.oi[data-glyph=media-pause]:before { content:'\e092'; }
.oi[data-glyph=media-play]:before { content:'\e093'; }
.oi[data-glyph=media-record]:before { content:'\e094'; }
.oi[data-glyph=media-skip-backward]:before { content:'\e095'; }
.oi[data-glyph=media-skip-forward]:before { content:'\e096'; }
.oi[data-glyph=media-step-backward]:before { content:'\e097'; }
.oi[data-glyph=media-step-forward]:before { content:'\e098'; }
.oi[data-glyph=media-stop]:before { content:'\e099'; }
.oi[data-glyph=medical-cross]:before { content:'\e09a'; }
.oi[data-glyph=menu]:before { content:'\e09b'; }
.oi[data-glyph=microphone]:before { content:'\e09c'; }
.oi[data-glyph=minus]:before { content:'\e09d'; }
.oi[data-glyph=monitor]:before { content:'\e09e'; }
.oi[data-glyph=moon]:before { content:'\e09f'; }
.oi[data-glyph=move]:before { content:'\e0a0'; }
.oi[data-glyph=musical-note]:before { content:'\e0a1'; }
.oi[data-glyph=paperclip]:before { content:'\e0a2'; }
.oi[data-glyph=pencil]:before { content:'\e0a3'; }
.oi[data-glyph=people]:before { content:'\e0a4'; }
.oi[data-glyph=person]:before { content:'\e0a5'; }
.oi[data-glyph=phone]:before { content:'\e0a6'; }
.oi[data-glyph=pie-chart]:before { content:'\e0a7'; }
.oi[data-glyph=pin]:before { content:'\e0a8'; }
.oi[data-glyph=play-circle]:before { content:'\e0a9'; }
.oi[data-glyph=plus]:before { content:'\e0aa'; }
.oi[data-glyph=power-standby]:before { content:'\e0ab'; }
.oi[data-glyph=print]:before { content:'\e0ac'; }
.oi[data-glyph=project]:before { content:'\e0ad'; }
.oi[data-glyph=pulse]:before { content:'\e0ae'; }
.oi[data-glyph=puzzle-piece]:before { content:'\e0af'; }
.oi[data-glyph=question-mark]:before { content:'\e0b0'; }
.oi[data-glyph=rain]:before { content:'\e0b1'; }
.oi[data-glyph=random]:before { content:'\e0b2'; }
.oi[data-glyph=reload]:before { content:'\e0b3'; }
.oi[data-glyph=resize-both]:before { content:'\e0b4'; }
.oi[data-glyph=resize-height]:before { content:'\e0b5'; }
.oi[data-glyph=resize-width]:before { content:'\e0b6'; }
.oi[data-glyph=rss-alt]:before { content:'\e0b7'; }
.oi[data-glyph=rss]:before { content:'\e0b8'; }
.oi[data-glyph=script]:before { content:'\e0b9'; }
.oi[data-glyph=share-boxed]:before { content:'\e0ba'; }
.oi[data-glyph=share]:before { content:'\e0bb'; }
.oi[data-glyph=shield]:before { content:'\e0bc'; }
.oi[data-glyph=signal]:before { content:'\e0bd'; }
.oi[data-glyph=signpost]:before { content:'\e0be'; }
.oi[data-glyph=sort-ascending]:before { content:'\e0bf'; }
.oi[data-glyph=sort-descending]:before { content:'\e0c0'; }
.oi[data-glyph=spreadsheet]:before { content:'\e0c1'; }
.oi[data-glyph=star]:before { content:'\e0c2'; }
.oi[data-glyph=sun]:before { content:'\e0c3'; }
.oi[data-glyph=tablet]:before { content:'\e0c4'; }
.oi[data-glyph=tag]:before { content:'\e0c5'; }
.oi[data-glyph=tags]:before { content:'\e0c6'; }
.oi[data-glyph=target]:before { content:'\e0c7'; }
.oi[data-glyph=task]:before { content:'\e0c8'; }
.oi[data-glyph=terminal]:before { content:'\e0c9'; }
.oi[data-glyph=text]:before { content:'\e0ca'; }
.oi[data-glyph=thumb-down]:before { content:'\e0cb'; }
.oi[data-glyph=thumb-up]:before { content:'\e0cc'; }
.oi[data-glyph=timer]:before { content:'\e0cd'; }
.oi[data-glyph=transfer]:before { content:'\e0ce'; }
.oi[data-glyph=trash]:before { content:'\e0cf'; }
.oi[data-glyph=underline]:before { content:'\e0d0'; }
.oi[data-glyph=vertical-align-bottom]:before { content:'\e0d1'; }
.oi[data-glyph=vertical-align-center]:before { content:'\e0d2'; }
.oi[data-glyph=vertical-align-top]:before { content:'\e0d3'; }
.oi[data-glyph=video]:before { content:'\e0d4'; }
.oi[data-glyph=volume-high]:before { content:'\e0d5'; }
.oi[data-glyph=volume-low]:before { content:'\e0d6'; }
.oi[data-glyph=volume-off]:before { content:'\e0d7'; }
.oi[data-glyph=warning]:before { content:'\e0d8'; }
.oi[data-glyph=wifi]:before { content:'\e0d9'; }
.oi[data-glyph=wrench]:before { content:'\e0da'; }
.oi[data-glyph=x]:before { content:'\e0db'; }
.oi[data-glyph=yen]:before { content:'\e0dc'; }
.oi[data-glyph=zoom-in]:before { content:'\e0dd'; }
.oi[data-glyph=zoom-out]:before { content:'\e0de'; }

View File

@ -0,0 +1,962 @@
@iconic-font-path: '../fonts/';
@font-face {
font-family: 'Icons';
src: url('@{iconic-font-path}open-iconic.eot');
src: url('@{iconic-font-path}open-iconic.eot?#iconic-sm') format('embedded-opentype'), url('@{iconic-font-path}open-iconic.woff') format('woff'), url('@{iconic-font-path}open-iconic.ttf') format('truetype'), url('@{iconic-font-path}open-iconic.otf') format('opentype'), url('@{iconic-font-path}open-iconic.svg#iconic-sm') format('svg');
font-weight: normal;
font-style: normal;
}
.oi[data-glyph].oi-text-replace {
font-size: 0;
line-height: 0;
}
.oi[data-glyph].oi-text-replace:before {
width: 1em;
text-align: center;
}
.oi[data-glyph] {
&:before {
position: relative;
top: 1px;
font-family: 'Icons';
display: inline-block;
speak: none;
line-height: 1;
vertical-align: baseline;
font-weight: normal;
font-style: normal;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}
&:empty:before {
width: 1em;
text-align: center;
box-sizing: content-box;
}
&.oi-align-left:before {
text-align: left;
}
&.oi-align-right:before {
text-align: right;
}
&.oi-align-center:before {
text-align: center;
}
&.oi-flip-horizontal:before {
-webkit-transform: scale(-1, 1);
-ms-transform: scale(-1, 1);
transform: scale(-1, 1);
}
&.oi-flip-vertical:before {
-webkit-transform: scale(1, -1);
-ms-transform: scale(-1, 1);
transform: scale(1, -1);
}
&.oi-flip-horizontal-vertical:before {
-webkit-transform: scale(-1, -1);
-ms-transform: scale(-1, 1);
transform: scale(-1, -1);
}
}
.oi[data-glyph=account-login]:before {
content: '\e000';
}
.oi[data-glyph=account-logout]:before {
content: '\e001';
}
.oi[data-glyph=action-redo]:before {
content: '\e002';
}
.oi[data-glyph=action-undo]:before {
content: '\e003';
}
.oi[data-glyph=align-center]:before {
content: '\e004';
}
.oi[data-glyph=align-left]:before {
content: '\e005';
}
.oi[data-glyph=align-right]:before {
content: '\e006';
}
.oi[data-glyph=aperture]:before {
content: '\e007';
}
.oi[data-glyph=arrow-bottom]:before {
content: '\e008';
}
.oi[data-glyph=arrow-circle-bottom]:before {
content: '\e009';
}
.oi[data-glyph=arrow-circle-left]:before {
content: '\e00a';
}
.oi[data-glyph=arrow-circle-right]:before {
content: '\e00b';
}
.oi[data-glyph=arrow-circle-top]:before {
content: '\e00c';
}
.oi[data-glyph=arrow-left]:before {
content: '\e00d';
}
.oi[data-glyph=arrow-right]:before {
content: '\e00e';
}
.oi[data-glyph=arrow-thick-bottom]:before {
content: '\e00f';
}
.oi[data-glyph=arrow-thick-left]:before {
content: '\e010';
}
.oi[data-glyph=arrow-thick-right]:before {
content: '\e011';
}
.oi[data-glyph=arrow-thick-top]:before {
content: '\e012';
}
.oi[data-glyph=arrow-top]:before {
content: '\e013';
}
.oi[data-glyph=audio-spectrum]:before {
content: '\e014';
}
.oi[data-glyph=audio]:before {
content: '\e015';
}
.oi[data-glyph=badge]:before {
content: '\e016';
}
.oi[data-glyph=ban]:before {
content: '\e017';
}
.oi[data-glyph=bar-chart]:before {
content: '\e018';
}
.oi[data-glyph=basket]:before {
content: '\e019';
}
.oi[data-glyph=battery-empty]:before {
content: '\e01a';
}
.oi[data-glyph=battery-full]:before {
content: '\e01b';
}
.oi[data-glyph=beaker]:before {
content: '\e01c';
}
.oi[data-glyph=bell]:before {
content: '\e01d';
}
.oi[data-glyph=bluetooth]:before {
content: '\e01e';
}
.oi[data-glyph=bold]:before {
content: '\e01f';
}
.oi[data-glyph=bolt]:before {
content: '\e020';
}
.oi[data-glyph=book]:before {
content: '\e021';
}
.oi[data-glyph=bookmark]:before {
content: '\e022';
}
.oi[data-glyph=box]:before {
content: '\e023';
}
.oi[data-glyph=briefcase]:before {
content: '\e024';
}
.oi[data-glyph=british-pound]:before {
content: '\e025';
}
.oi[data-glyph=browser]:before {
content: '\e026';
}
.oi[data-glyph=brush]:before {
content: '\e027';
}
.oi[data-glyph=bug]:before {
content: '\e028';
}
.oi[data-glyph=bullhorn]:before {
content: '\e029';
}
.oi[data-glyph=calculator]:before {
content: '\e02a';
}
.oi[data-glyph=calendar]:before {
content: '\e02b';
}
.oi[data-glyph=camera-slr]:before {
content: '\e02c';
}
.oi[data-glyph=caret-bottom]:before {
content: '\e02d';
}
.oi[data-glyph=caret-left]:before {
content: '\e02e';
}
.oi[data-glyph=caret-right]:before {
content: '\e02f';
}
.oi[data-glyph=caret-top]:before {
content: '\e030';
}
.oi[data-glyph=cart]:before {
content: '\e031';
}
.oi[data-glyph=chat]:before {
content: '\e032';
}
.oi[data-glyph=check]:before {
content: '\e033';
}
.oi[data-glyph=chevron-bottom]:before {
content: '\e034';
}
.oi[data-glyph=chevron-left]:before {
content: '\e035';
}
.oi[data-glyph=chevron-right]:before {
content: '\e036';
}
.oi[data-glyph=chevron-top]:before {
content: '\e037';
}
.oi[data-glyph=circle-check]:before {
content: '\e038';
}
.oi[data-glyph=circle-x]:before {
content: '\e039';
}
.oi[data-glyph=clipboard]:before {
content: '\e03a';
}
.oi[data-glyph=clock]:before {
content: '\e03b';
}
.oi[data-glyph=cloud-download]:before {
content: '\e03c';
}
.oi[data-glyph=cloud-upload]:before {
content: '\e03d';
}
.oi[data-glyph=cloud]:before {
content: '\e03e';
}
.oi[data-glyph=cloudy]:before {
content: '\e03f';
}
.oi[data-glyph=code]:before {
content: '\e040';
}
.oi[data-glyph=cog]:before {
content: '\e041';
}
.oi[data-glyph=collapse-down]:before {
content: '\e042';
}
.oi[data-glyph=collapse-left]:before {
content: '\e043';
}
.oi[data-glyph=collapse-right]:before {
content: '\e044';
}
.oi[data-glyph=collapse-up]:before {
content: '\e045';
}
.oi[data-glyph=command]:before {
content: '\e046';
}
.oi[data-glyph=comment-square]:before {
content: '\e047';
}
.oi[data-glyph=compass]:before {
content: '\e048';
}
.oi[data-glyph=contrast]:before {
content: '\e049';
}
.oi[data-glyph=copywriting]:before {
content: '\e04a';
}
.oi[data-glyph=credit-card]:before {
content: '\e04b';
}
.oi[data-glyph=crop]:before {
content: '\e04c';
}
.oi[data-glyph=dashboard]:before {
content: '\e04d';
}
.oi[data-glyph=data-transfer-download]:before {
content: '\e04e';
}
.oi[data-glyph=data-transfer-upload]:before {
content: '\e04f';
}
.oi[data-glyph=delete]:before {
content: '\e050';
}
.oi[data-glyph=dial]:before {
content: '\e051';
}
.oi[data-glyph=document]:before {
content: '\e052';
}
.oi[data-glyph=dollar]:before {
content: '\e053';
}
.oi[data-glyph=double-quote-sans-left]:before {
content: '\e054';
}
.oi[data-glyph=double-quote-sans-right]:before {
content: '\e055';
}
.oi[data-glyph=double-quote-serif-left]:before {
content: '\e056';
}
.oi[data-glyph=double-quote-serif-right]:before {
content: '\e057';
}
.oi[data-glyph=droplet]:before {
content: '\e058';
}
.oi[data-glyph=eject]:before {
content: '\e059';
}
.oi[data-glyph=elevator]:before {
content: '\e05a';
}
.oi[data-glyph=ellipses]:before {
content: '\e05b';
}
.oi[data-glyph=envelope-closed]:before {
content: '\e05c';
}
.oi[data-glyph=envelope-open]:before {
content: '\e05d';
}
.oi[data-glyph=euro]:before {
content: '\e05e';
}
.oi[data-glyph=excerpt]:before {
content: '\e05f';
}
.oi[data-glyph=expand-down]:before {
content: '\e060';
}
.oi[data-glyph=expand-left]:before {
content: '\e061';
}
.oi[data-glyph=expand-right]:before {
content: '\e062';
}
.oi[data-glyph=expand-up]:before {
content: '\e063';
}
.oi[data-glyph=external-link]:before {
content: '\e064';
}
.oi[data-glyph=eye]:before {
content: '\e065';
}
.oi[data-glyph=eyedropper]:before {
content: '\e066';
}
.oi[data-glyph=file]:before {
content: '\e067';
}
.oi[data-glyph=fire]:before {
content: '\e068';
}
.oi[data-glyph=flag]:before {
content: '\e069';
}
.oi[data-glyph=flash]:before {
content: '\e06a';
}
.oi[data-glyph=folder]:before {
content: '\e06b';
}
.oi[data-glyph=fork]:before {
content: '\e06c';
}
.oi[data-glyph=fullscreen-enter]:before {
content: '\e06d';
}
.oi[data-glyph=fullscreen-exit]:before {
content: '\e06e';
}
.oi[data-glyph=globe]:before {
content: '\e06f';
}
.oi[data-glyph=graph]:before {
content: '\e070';
}
.oi[data-glyph=grid-four-up]:before {
content: '\e071';
}
.oi[data-glyph=grid-three-up]:before {
content: '\e072';
}
.oi[data-glyph=grid-two-up]:before {
content: '\e073';
}
.oi[data-glyph=hard-drive]:before {
content: '\e074';
}
.oi[data-glyph=header]:before {
content: '\e075';
}
.oi[data-glyph=headphones]:before {
content: '\e076';
}
.oi[data-glyph=heart]:before {
content: '\e077';
}
.oi[data-glyph=home]:before {
content: '\e078';
}
.oi[data-glyph=image]:before {
content: '\e079';
}
.oi[data-glyph=inbox]:before {
content: '\e07a';
}
.oi[data-glyph=infinity]:before {
content: '\e07b';
}
.oi[data-glyph=info]:before {
content: '\e07c';
}
.oi[data-glyph=italic]:before {
content: '\e07d';
}
.oi[data-glyph=justify-center]:before {
content: '\e07e';
}
.oi[data-glyph=justify-left]:before {
content: '\e07f';
}
.oi[data-glyph=justify-right]:before {
content: '\e080';
}
.oi[data-glyph=key]:before {
content: '\e081';
}
.oi[data-glyph=laptop]:before {
content: '\e082';
}
.oi[data-glyph=layers]:before {
content: '\e083';
}
.oi[data-glyph=lightbulb]:before {
content: '\e084';
}
.oi[data-glyph=link-broken]:before {
content: '\e085';
}
.oi[data-glyph=link-intact]:before {
content: '\e086';
}
.oi[data-glyph=list-rich]:before {
content: '\e087';
}
.oi[data-glyph=list]:before {
content: '\e088';
}
.oi[data-glyph=location]:before {
content: '\e089';
}
.oi[data-glyph=lock-locked]:before {
content: '\e08a';
}
.oi[data-glyph=lock-unlocked]:before {
content: '\e08b';
}
.oi[data-glyph=loop-circular]:before {
content: '\e08c';
}
.oi[data-glyph=loop-square]:before {
content: '\e08d';
}
.oi[data-glyph=loop]:before {
content: '\e08e';
}
.oi[data-glyph=magnifying-glass]:before {
content: '\e08f';
}
.oi[data-glyph=map-marker]:before {
content: '\e090';
}
.oi[data-glyph=map]:before {
content: '\e091';
}
.oi[data-glyph=media-pause]:before {
content: '\e092';
}
.oi[data-glyph=media-play]:before {
content: '\e093';
}
.oi[data-glyph=media-record]:before {
content: '\e094';
}
.oi[data-glyph=media-skip-backward]:before {
content: '\e095';
}
.oi[data-glyph=media-skip-forward]:before {
content: '\e096';
}
.oi[data-glyph=media-step-backward]:before {
content: '\e097';
}
.oi[data-glyph=media-step-forward]:before {
content: '\e098';
}
.oi[data-glyph=media-stop]:before {
content: '\e099';
}
.oi[data-glyph=medical-cross]:before {
content: '\e09a';
}
.oi[data-glyph=menu]:before {
content: '\e09b';
}
.oi[data-glyph=microphone]:before {
content: '\e09c';
}
.oi[data-glyph=minus]:before {
content: '\e09d';
}
.oi[data-glyph=monitor]:before {
content: '\e09e';
}
.oi[data-glyph=moon]:before {
content: '\e09f';
}
.oi[data-glyph=move]:before {
content: '\e0a0';
}
.oi[data-glyph=musical-note]:before {
content: '\e0a1';
}
.oi[data-glyph=paperclip]:before {
content: '\e0a2';
}
.oi[data-glyph=pencil]:before {
content: '\e0a3';
}
.oi[data-glyph=people]:before {
content: '\e0a4';
}
.oi[data-glyph=person]:before {
content: '\e0a5';
}
.oi[data-glyph=phone]:before {
content: '\e0a6';
}
.oi[data-glyph=pie-chart]:before {
content: '\e0a7';
}
.oi[data-glyph=pin]:before {
content: '\e0a8';
}
.oi[data-glyph=play-circle]:before {
content: '\e0a9';
}
.oi[data-glyph=plus]:before {
content: '\e0aa';
}
.oi[data-glyph=power-standby]:before {
content: '\e0ab';
}
.oi[data-glyph=print]:before {
content: '\e0ac';
}
.oi[data-glyph=project]:before {
content: '\e0ad';
}
.oi[data-glyph=pulse]:before {
content: '\e0ae';
}
.oi[data-glyph=puzzle-piece]:before {
content: '\e0af';
}
.oi[data-glyph=question-mark]:before {
content: '\e0b0';
}
.oi[data-glyph=rain]:before {
content: '\e0b1';
}
.oi[data-glyph=random]:before {
content: '\e0b2';
}
.oi[data-glyph=reload]:before {
content: '\e0b3';
}
.oi[data-glyph=resize-both]:before {
content: '\e0b4';
}
.oi[data-glyph=resize-height]:before {
content: '\e0b5';
}
.oi[data-glyph=resize-width]:before {
content: '\e0b6';
}
.oi[data-glyph=rss-alt]:before {
content: '\e0b7';
}
.oi[data-glyph=rss]:before {
content: '\e0b8';
}
.oi[data-glyph=script]:before {
content: '\e0b9';
}
.oi[data-glyph=share-boxed]:before {
content: '\e0ba';
}
.oi[data-glyph=share]:before {
content: '\e0bb';
}
.oi[data-glyph=shield]:before {
content: '\e0bc';
}
.oi[data-glyph=signal]:before {
content: '\e0bd';
}
.oi[data-glyph=signpost]:before {
content: '\e0be';
}
.oi[data-glyph=sort-ascending]:before {
content: '\e0bf';
}
.oi[data-glyph=sort-descending]:before {
content: '\e0c0';
}
.oi[data-glyph=spreadsheet]:before {
content: '\e0c1';
}
.oi[data-glyph=star]:before {
content: '\e0c2';
}
.oi[data-glyph=sun]:before {
content: '\e0c3';
}
.oi[data-glyph=tablet]:before {
content: '\e0c4';
}
.oi[data-glyph=tag]:before {
content: '\e0c5';
}
.oi[data-glyph=tags]:before {
content: '\e0c6';
}
.oi[data-glyph=target]:before {
content: '\e0c7';
}
.oi[data-glyph=task]:before {
content: '\e0c8';
}
.oi[data-glyph=terminal]:before {
content: '\e0c9';
}
.oi[data-glyph=text]:before {
content: '\e0ca';
}
.oi[data-glyph=thumb-down]:before {
content: '\e0cb';
}
.oi[data-glyph=thumb-up]:before {
content: '\e0cc';
}
.oi[data-glyph=timer]:before {
content: '\e0cd';
}
.oi[data-glyph=transfer]:before {
content: '\e0ce';
}
.oi[data-glyph=trash]:before {
content: '\e0cf';
}
.oi[data-glyph=underline]:before {
content: '\e0d0';
}
.oi[data-glyph=vertical-align-bottom]:before {
content: '\e0d1';
}
.oi[data-glyph=vertical-align-center]:before {
content: '\e0d2';
}
.oi[data-glyph=vertical-align-top]:before {
content: '\e0d3';
}
.oi[data-glyph=video]:before {
content: '\e0d4';
}
.oi[data-glyph=volume-high]:before {
content: '\e0d5';
}
.oi[data-glyph=volume-low]:before {
content: '\e0d6';
}
.oi[data-glyph=volume-off]:before {
content: '\e0d7';
}
.oi[data-glyph=warning]:before {
content: '\e0d8';
}
.oi[data-glyph=wifi]:before {
content: '\e0d9';
}
.oi[data-glyph=wrench]:before {
content: '\e0da';
}
.oi[data-glyph=x]:before {
content: '\e0db';
}
.oi[data-glyph=yen]:before {
content: '\e0dc';
}
.oi[data-glyph=zoom-in]:before {
content: '\e0dd';
}
.oi[data-glyph=zoom-out]:before {
content: '\e0de';
}

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@ -0,0 +1,963 @@
$iconic-font-path: '../fonts/' !default;
@font-face {
font-family: 'Icons';
src: url('#{$iconic-font-path}open-iconic.eot');
src: url('#{$iconic-font-path}open-iconic.eot?#iconic-sm') format('embedded-opentype'), url('#{$iconic-font-path}open-iconic.woff') format('woff'), url('#{$iconic-font-path}open-iconic.ttf') format('truetype'), url('#{$iconic-font-path}open-iconic.otf') format('opentype'), url('#{$iconic-font-path}open-iconic.svg#iconic-sm') format('svg');
font-weight: normal;
font-style: normal;
}
.oi[data-glyph].oi-text-replace {
font-size: 0;
line-height: 0;
}
.oi[data-glyph].oi-text-replace:before {
width: 1em;
text-align: center;
}
.oi[data-glyph] {
&:before {
position: relative;
top: 1px;
font-family: 'Icons';
display: inline-block;
speak: none;
line-height: 1;
vertical-align: baseline;
font-weight: normal;
font-style: normal;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}
&:empty:before {
width: 1em;
text-align: center;
box-sizing: content-box;
}
&.oi-align-left:before {
text-align: left;
}
&.oi-align-right:before {
text-align: right;
}
&.oi-align-center:before {
text-align: center;
}
&.oi-flip-horizontal:before {
-webkit-transform: scale(-1, 1);
-ms-transform: scale(-1, 1);
transform: scale(-1, 1);
}
&.oi-flip-vertical:before {
-webkit-transform: scale(1, -1);
-ms-transform: scale(-1, 1);
transform: scale(1, -1);
}
&.oi-flip-horizontal-vertical:before {
-webkit-transform: scale(-1, -1);
-ms-transform: scale(-1, 1);
transform: scale(-1, -1);
}
}
.oi[data-glyph=account-login]:before {
content: '\e000';
}
.oi[data-glyph=account-logout]:before {
content: '\e001';
}
.oi[data-glyph=action-redo]:before {
content: '\e002';
}
.oi[data-glyph=action-undo]:before {
content: '\e003';
}
.oi[data-glyph=align-center]:before {
content: '\e004';
}
.oi[data-glyph=align-left]:before {
content: '\e005';
}
.oi[data-glyph=align-right]:before {
content: '\e006';
}
.oi[data-glyph=aperture]:before {
content: '\e007';
}
.oi[data-glyph=arrow-bottom]:before {
content: '\e008';
}
.oi[data-glyph=arrow-circle-bottom]:before {
content: '\e009';
}
.oi[data-glyph=arrow-circle-left]:before {
content: '\e00a';
}
.oi[data-glyph=arrow-circle-right]:before {
content: '\e00b';
}
.oi[data-glyph=arrow-circle-top]:before {
content: '\e00c';
}
.oi[data-glyph=arrow-left]:before {
content: '\e00d';
}
.oi[data-glyph=arrow-right]:before {
content: '\e00e';
}
.oi[data-glyph=arrow-thick-bottom]:before {
content: '\e00f';
}
.oi[data-glyph=arrow-thick-left]:before {
content: '\e010';
}
.oi[data-glyph=arrow-thick-right]:before {
content: '\e011';
}
.oi[data-glyph=arrow-thick-top]:before {
content: '\e012';
}
.oi[data-glyph=arrow-top]:before {
content: '\e013';
}
.oi[data-glyph=audio-spectrum]:before {
content: '\e014';
}
.oi[data-glyph=audio]:before {
content: '\e015';
}
.oi[data-glyph=badge]:before {
content: '\e016';
}
.oi[data-glyph=ban]:before {
content: '\e017';
}
.oi[data-glyph=bar-chart]:before {
content: '\e018';
}
.oi[data-glyph=basket]:before {
content: '\e019';
}
.oi[data-glyph=battery-empty]:before {
content: '\e01a';
}
.oi[data-glyph=battery-full]:before {
content: '\e01b';
}
.oi[data-glyph=beaker]:before {
content: '\e01c';
}
.oi[data-glyph=bell]:before {
content: '\e01d';
}
.oi[data-glyph=bluetooth]:before {
content: '\e01e';
}
.oi[data-glyph=bold]:before {
content: '\e01f';
}
.oi[data-glyph=bolt]:before {
content: '\e020';
}
.oi[data-glyph=book]:before {
content: '\e021';
}
.oi[data-glyph=bookmark]:before {
content: '\e022';
}
.oi[data-glyph=box]:before {
content: '\e023';
}
.oi[data-glyph=briefcase]:before {
content: '\e024';
}
.oi[data-glyph=british-pound]:before {
content: '\e025';
}
.oi[data-glyph=browser]:before {
content: '\e026';
}
.oi[data-glyph=brush]:before {
content: '\e027';
}
.oi[data-glyph=bug]:before {
content: '\e028';
}
.oi[data-glyph=bullhorn]:before {
content: '\e029';
}
.oi[data-glyph=calculator]:before {
content: '\e02a';
}
.oi[data-glyph=calendar]:before {
content: '\e02b';
}
.oi[data-glyph=camera-slr]:before {
content: '\e02c';
}
.oi[data-glyph=caret-bottom]:before {
content: '\e02d';
}
.oi[data-glyph=caret-left]:before {
content: '\e02e';
}
.oi[data-glyph=caret-right]:before {
content: '\e02f';
}
.oi[data-glyph=caret-top]:before {
content: '\e030';
}
.oi[data-glyph=cart]:before {
content: '\e031';
}
.oi[data-glyph=chat]:before {
content: '\e032';
}
.oi[data-glyph=check]:before {
content: '\e033';
}
.oi[data-glyph=chevron-bottom]:before {
content: '\e034';
}
.oi[data-glyph=chevron-left]:before {
content: '\e035';
}
.oi[data-glyph=chevron-right]:before {
content: '\e036';
}
.oi[data-glyph=chevron-top]:before {
content: '\e037';
}
.oi[data-glyph=circle-check]:before {
content: '\e038';
}
.oi[data-glyph=circle-x]:before {
content: '\e039';
}
.oi[data-glyph=clipboard]:before {
content: '\e03a';
}
.oi[data-glyph=clock]:before {
content: '\e03b';
}
.oi[data-glyph=cloud-download]:before {
content: '\e03c';
}
.oi[data-glyph=cloud-upload]:before {
content: '\e03d';
}
.oi[data-glyph=cloud]:before {
content: '\e03e';
}
.oi[data-glyph=cloudy]:before {
content: '\e03f';
}
.oi[data-glyph=code]:before {
content: '\e040';
}
.oi[data-glyph=cog]:before {
content: '\e041';
}
.oi[data-glyph=collapse-down]:before {
content: '\e042';
}
.oi[data-glyph=collapse-left]:before {
content: '\e043';
}
.oi[data-glyph=collapse-right]:before {
content: '\e044';
}
.oi[data-glyph=collapse-up]:before {
content: '\e045';
}
.oi[data-glyph=command]:before {
content: '\e046';
}
.oi[data-glyph=comment-square]:before {
content: '\e047';
}
.oi[data-glyph=compass]:before {
content: '\e048';
}
.oi[data-glyph=contrast]:before {
content: '\e049';
}
.oi[data-glyph=copywriting]:before {
content: '\e04a';
}
.oi[data-glyph=credit-card]:before {
content: '\e04b';
}
.oi[data-glyph=crop]:before {
content: '\e04c';
}
.oi[data-glyph=dashboard]:before {
content: '\e04d';
}
.oi[data-glyph=data-transfer-download]:before {
content: '\e04e';
}
.oi[data-glyph=data-transfer-upload]:before {
content: '\e04f';
}
.oi[data-glyph=delete]:before {
content: '\e050';
}
.oi[data-glyph=dial]:before {
content: '\e051';
}
.oi[data-glyph=document]:before {
content: '\e052';
}
.oi[data-glyph=dollar]:before {
content: '\e053';
}
.oi[data-glyph=double-quote-sans-left]:before {
content: '\e054';
}
.oi[data-glyph=double-quote-sans-right]:before {
content: '\e055';
}
.oi[data-glyph=double-quote-serif-left]:before {
content: '\e056';
}
.oi[data-glyph=double-quote-serif-right]:before {
content: '\e057';
}
.oi[data-glyph=droplet]:before {
content: '\e058';
}
.oi[data-glyph=eject]:before {
content: '\e059';
}
.oi[data-glyph=elevator]:before {
content: '\e05a';
}
.oi[data-glyph=ellipses]:before {
content: '\e05b';
}
.oi[data-glyph=envelope-closed]:before {
content: '\e05c';
}
.oi[data-glyph=envelope-open]:before {
content: '\e05d';
}
.oi[data-glyph=euro]:before {
content: '\e05e';
}
.oi[data-glyph=excerpt]:before {
content: '\e05f';
}
.oi[data-glyph=expand-down]:before {
content: '\e060';
}
.oi[data-glyph=expand-left]:before {
content: '\e061';
}
.oi[data-glyph=expand-right]:before {
content: '\e062';
}
.oi[data-glyph=expand-up]:before {
content: '\e063';
}
.oi[data-glyph=external-link]:before {
content: '\e064';
}
.oi[data-glyph=eye]:before {
content: '\e065';
}
.oi[data-glyph=eyedropper]:before {
content: '\e066';
}
.oi[data-glyph=file]:before {
content: '\e067';
}
.oi[data-glyph=fire]:before {
content: '\e068';
}
.oi[data-glyph=flag]:before {
content: '\e069';
}
.oi[data-glyph=flash]:before {
content: '\e06a';
}
.oi[data-glyph=folder]:before {
content: '\e06b';
}
.oi[data-glyph=fork]:before {
content: '\e06c';
}
.oi[data-glyph=fullscreen-enter]:before {
content: '\e06d';
}
.oi[data-glyph=fullscreen-exit]:before {
content: '\e06e';
}
.oi[data-glyph=globe]:before {
content: '\e06f';
}
.oi[data-glyph=graph]:before {
content: '\e070';
}
.oi[data-glyph=grid-four-up]:before {
content: '\e071';
}
.oi[data-glyph=grid-three-up]:before {
content: '\e072';
}
.oi[data-glyph=grid-two-up]:before {
content: '\e073';
}
.oi[data-glyph=hard-drive]:before {
content: '\e074';
}
.oi[data-glyph=header]:before {
content: '\e075';
}
.oi[data-glyph=headphones]:before {
content: '\e076';
}
.oi[data-glyph=heart]:before {
content: '\e077';
}
.oi[data-glyph=home]:before {
content: '\e078';
}
.oi[data-glyph=image]:before {
content: '\e079';
}
.oi[data-glyph=inbox]:before {
content: '\e07a';
}
.oi[data-glyph=infinity]:before {
content: '\e07b';
}
.oi[data-glyph=info]:before {
content: '\e07c';
}
.oi[data-glyph=italic]:before {
content: '\e07d';
}
.oi[data-glyph=justify-center]:before {
content: '\e07e';
}
.oi[data-glyph=justify-left]:before {
content: '\e07f';
}
.oi[data-glyph=justify-right]:before {
content: '\e080';
}
.oi[data-glyph=key]:before {
content: '\e081';
}
.oi[data-glyph=laptop]:before {
content: '\e082';
}
.oi[data-glyph=layers]:before {
content: '\e083';
}
.oi[data-glyph=lightbulb]:before {
content: '\e084';
}
.oi[data-glyph=link-broken]:before {
content: '\e085';
}
.oi[data-glyph=link-intact]:before {
content: '\e086';
}
.oi[data-glyph=list-rich]:before {
content: '\e087';
}
.oi[data-glyph=list]:before {
content: '\e088';
}
.oi[data-glyph=location]:before {
content: '\e089';
}
.oi[data-glyph=lock-locked]:before {
content: '\e08a';
}
.oi[data-glyph=lock-unlocked]:before {
content: '\e08b';
}
.oi[data-glyph=loop-circular]:before {
content: '\e08c';
}
.oi[data-glyph=loop-square]:before {
content: '\e08d';
}
.oi[data-glyph=loop]:before {
content: '\e08e';
}
.oi[data-glyph=magnifying-glass]:before {
content: '\e08f';
}
.oi[data-glyph=map-marker]:before {
content: '\e090';
}
.oi[data-glyph=map]:before {
content: '\e091';
}
.oi[data-glyph=media-pause]:before {
content: '\e092';
}
.oi[data-glyph=media-play]:before {
content: '\e093';
}
.oi[data-glyph=media-record]:before {
content: '\e094';
}
.oi[data-glyph=media-skip-backward]:before {
content: '\e095';
}
.oi[data-glyph=media-skip-forward]:before {
content: '\e096';
}
.oi[data-glyph=media-step-backward]:before {
content: '\e097';
}
.oi[data-glyph=media-step-forward]:before {
content: '\e098';
}
.oi[data-glyph=media-stop]:before {
content: '\e099';
}
.oi[data-glyph=medical-cross]:before {
content: '\e09a';
}
.oi[data-glyph=menu]:before {
content: '\e09b';
}
.oi[data-glyph=microphone]:before {
content: '\e09c';
}
.oi[data-glyph=minus]:before {
content: '\e09d';
}
.oi[data-glyph=monitor]:before {
content: '\e09e';
}
.oi[data-glyph=moon]:before {
content: '\e09f';
}
.oi[data-glyph=move]:before {
content: '\e0a0';
}
.oi[data-glyph=musical-note]:before {
content: '\e0a1';
}
.oi[data-glyph=paperclip]:before {
content: '\e0a2';
}
.oi[data-glyph=pencil]:before {
content: '\e0a3';
}
.oi[data-glyph=people]:before {
content: '\e0a4';
}
.oi[data-glyph=person]:before {
content: '\e0a5';
}
.oi[data-glyph=phone]:before {
content: '\e0a6';
}
.oi[data-glyph=pie-chart]:before {
content: '\e0a7';
}
.oi[data-glyph=pin]:before {
content: '\e0a8';
}
.oi[data-glyph=play-circle]:before {
content: '\e0a9';
}
.oi[data-glyph=plus]:before {
content: '\e0aa';
}
.oi[data-glyph=power-standby]:before {
content: '\e0ab';
}
.oi[data-glyph=print]:before {
content: '\e0ac';
}
.oi[data-glyph=project]:before {
content: '\e0ad';
}
.oi[data-glyph=pulse]:before {
content: '\e0ae';
}
.oi[data-glyph=puzzle-piece]:before {
content: '\e0af';
}
.oi[data-glyph=question-mark]:before {
content: '\e0b0';
}
.oi[data-glyph=rain]:before {
content: '\e0b1';
}
.oi[data-glyph=random]:before {
content: '\e0b2';
}
.oi[data-glyph=reload]:before {
content: '\e0b3';
}
.oi[data-glyph=resize-both]:before {
content: '\e0b4';
}
.oi[data-glyph=resize-height]:before {
content: '\e0b5';
}
.oi[data-glyph=resize-width]:before {
content: '\e0b6';
}
.oi[data-glyph=rss-alt]:before {
content: '\e0b7';
}
.oi[data-glyph=rss]:before {
content: '\e0b8';
}
.oi[data-glyph=script]:before {
content: '\e0b9';
}
.oi[data-glyph=share-boxed]:before {
content: '\e0ba';
}
.oi[data-glyph=share]:before {
content: '\e0bb';
}
.oi[data-glyph=shield]:before {
content: '\e0bc';
}
.oi[data-glyph=signal]:before {
content: '\e0bd';
}
.oi[data-glyph=signpost]:before {
content: '\e0be';
}
.oi[data-glyph=sort-ascending]:before {
content: '\e0bf';
}
.oi[data-glyph=sort-descending]:before {
content: '\e0c0';
}
.oi[data-glyph=spreadsheet]:before {
content: '\e0c1';
}
.oi[data-glyph=star]:before {
content: '\e0c2';
}
.oi[data-glyph=sun]:before {
content: '\e0c3';
}
.oi[data-glyph=tablet]:before {
content: '\e0c4';
}
.oi[data-glyph=tag]:before {
content: '\e0c5';
}
.oi[data-glyph=tags]:before {
content: '\e0c6';
}
.oi[data-glyph=target]:before {
content: '\e0c7';
}
.oi[data-glyph=task]:before {
content: '\e0c8';
}
.oi[data-glyph=terminal]:before {
content: '\e0c9';
}
.oi[data-glyph=text]:before {
content: '\e0ca';
}
.oi[data-glyph=thumb-down]:before {
content: '\e0cb';
}
.oi[data-glyph=thumb-up]:before {
content: '\e0cc';
}
.oi[data-glyph=timer]:before {
content: '\e0cd';
}
.oi[data-glyph=transfer]:before {
content: '\e0ce';
}
.oi[data-glyph=trash]:before {
content: '\e0cf';
}
.oi[data-glyph=underline]:before {
content: '\e0d0';
}
.oi[data-glyph=vertical-align-bottom]:before {
content: '\e0d1';
}
.oi[data-glyph=vertical-align-center]:before {
content: '\e0d2';
}
.oi[data-glyph=vertical-align-top]:before {
content: '\e0d3';
}
.oi[data-glyph=video]:before {
content: '\e0d4';
}
.oi[data-glyph=volume-high]:before {
content: '\e0d5';
}
.oi[data-glyph=volume-low]:before {
content: '\e0d6';
}
.oi[data-glyph=volume-off]:before {
content: '\e0d7';
}
.oi[data-glyph=warning]:before {
content: '\e0d8';
}
.oi[data-glyph=wifi]:before {
content: '\e0d9';
}
.oi[data-glyph=wrench]:before {
content: '\e0da';
}
.oi[data-glyph=x]:before {
content: '\e0db';
}
.oi[data-glyph=yen]:before {
content: '\e0dc';
}
.oi[data-glyph=zoom-in]:before {
content: '\e0dd';
}
.oi[data-glyph=zoom-out]:before {
content: '\e0de';
}

View File

@ -0,0 +1,733 @@
@font-face
font-family 'Icons'
src url('../fonts/open-iconic.eot')
src url('../fonts/open-iconic.eot?#iconic-sm') format('embedded-opentype'), url('../fonts/open-iconic.woff') format('woff'), url('../fonts/open-iconic.ttf') format('truetype'), url('../fonts/open-iconic.otf') format('opentype'), url('../fonts/open-iconic.svg#iconic-sm') format('svg')
font-weight normal
font-style normal
.oi[data-glyph].oi-text-replace
font-size 0
line-height 0
.oi[data-glyph].oi-text-replace:before
width 1em
text-align center
.oi[data-glyph]
&:before
position relative
top 1px
font-family 'Icons'
display inline-block
speak none
line-height 1
vertical-align baseline
font-weight normal
font-style normal
-webkit-font-smoothing antialiased
-moz-osx-font-smoothing grayscale
&:empty:before
width 1em
text-align center
box-sizing content-box
&.oi-align-left:before
text-align left
&.oi-align-right:before
text-align right
&.oi-align-center:before
text-align center
&.oi-flip-horizontal:before
-webkit-transform scale(-1, 1)
-ms-transform scale(-1, 1)
transform scale(-1, 1)
&.oi-flip-vertical:before
-webkit-transform scale(1, -1)
-ms-transform scale(-1, 1)
transform scale(1, -1)
&.oi-flip-horizontal-vertical:before
-webkit-transform scale(-1, -1)
-ms-transform scale(-1, 1)
transform scale(-1, -1)
.oi[data-glyph=account-login]:before
content '\e000'
.oi[data-glyph=account-logout]:before
content '\e001'
.oi[data-glyph=action-redo]:before
content '\e002'
.oi[data-glyph=action-undo]:before
content '\e003'
.oi[data-glyph=align-center]:before
content '\e004'
.oi[data-glyph=align-left]:before
content '\e005'
.oi[data-glyph=align-right]:before
content '\e006'
.oi[data-glyph=aperture]:before
content '\e007'
.oi[data-glyph=arrow-bottom]:before
content '\e008'
.oi[data-glyph=arrow-circle-bottom]:before
content '\e009'
.oi[data-glyph=arrow-circle-left]:before
content '\e00a'
.oi[data-glyph=arrow-circle-right]:before
content '\e00b'
.oi[data-glyph=arrow-circle-top]:before
content '\e00c'
.oi[data-glyph=arrow-left]:before
content '\e00d'
.oi[data-glyph=arrow-right]:before
content '\e00e'
.oi[data-glyph=arrow-thick-bottom]:before
content '\e00f'
.oi[data-glyph=arrow-thick-left]:before
content '\e010'
.oi[data-glyph=arrow-thick-right]:before
content '\e011'
.oi[data-glyph=arrow-thick-top]:before
content '\e012'
.oi[data-glyph=arrow-top]:before
content '\e013'
.oi[data-glyph=audio-spectrum]:before
content '\e014'
.oi[data-glyph=audio]:before
content '\e015'
.oi[data-glyph=badge]:before
content '\e016'
.oi[data-glyph=ban]:before
content '\e017'
.oi[data-glyph=bar-chart]:before
content '\e018'
.oi[data-glyph=basket]:before
content '\e019'
.oi[data-glyph=battery-empty]:before
content '\e01a'
.oi[data-glyph=battery-full]:before
content '\e01b'
.oi[data-glyph=beaker]:before
content '\e01c'
.oi[data-glyph=bell]:before
content '\e01d'
.oi[data-glyph=bluetooth]:before
content '\e01e'
.oi[data-glyph=bold]:before
content '\e01f'
.oi[data-glyph=bolt]:before
content '\e020'
.oi[data-glyph=book]:before
content '\e021'
.oi[data-glyph=bookmark]:before
content '\e022'
.oi[data-glyph=box]:before
content '\e023'
.oi[data-glyph=briefcase]:before
content '\e024'
.oi[data-glyph=british-pound]:before
content '\e025'
.oi[data-glyph=browser]:before
content '\e026'
.oi[data-glyph=brush]:before
content '\e027'
.oi[data-glyph=bug]:before
content '\e028'
.oi[data-glyph=bullhorn]:before
content '\e029'
.oi[data-glyph=calculator]:before
content '\e02a'
.oi[data-glyph=calendar]:before
content '\e02b'
.oi[data-glyph=camera-slr]:before
content '\e02c'
.oi[data-glyph=caret-bottom]:before
content '\e02d'
.oi[data-glyph=caret-left]:before
content '\e02e'
.oi[data-glyph=caret-right]:before
content '\e02f'
.oi[data-glyph=caret-top]:before
content '\e030'
.oi[data-glyph=cart]:before
content '\e031'
.oi[data-glyph=chat]:before
content '\e032'
.oi[data-glyph=check]:before
content '\e033'
.oi[data-glyph=chevron-bottom]:before
content '\e034'
.oi[data-glyph=chevron-left]:before
content '\e035'
.oi[data-glyph=chevron-right]:before
content '\e036'
.oi[data-glyph=chevron-top]:before
content '\e037'
.oi[data-glyph=circle-check]:before
content '\e038'
.oi[data-glyph=circle-x]:before
content '\e039'
.oi[data-glyph=clipboard]:before
content '\e03a'
.oi[data-glyph=clock]:before
content '\e03b'
.oi[data-glyph=cloud-download]:before
content '\e03c'
.oi[data-glyph=cloud-upload]:before
content '\e03d'
.oi[data-glyph=cloud]:before
content '\e03e'
.oi[data-glyph=cloudy]:before
content '\e03f'
.oi[data-glyph=code]:before
content '\e040'
.oi[data-glyph=cog]:before
content '\e041'
.oi[data-glyph=collapse-down]:before
content '\e042'
.oi[data-glyph=collapse-left]:before
content '\e043'
.oi[data-glyph=collapse-right]:before
content '\e044'
.oi[data-glyph=collapse-up]:before
content '\e045'
.oi[data-glyph=command]:before
content '\e046'
.oi[data-glyph=comment-square]:before
content '\e047'
.oi[data-glyph=compass]:before
content '\e048'
.oi[data-glyph=contrast]:before
content '\e049'
.oi[data-glyph=copywriting]:before
content '\e04a'
.oi[data-glyph=credit-card]:before
content '\e04b'
.oi[data-glyph=crop]:before
content '\e04c'
.oi[data-glyph=dashboard]:before
content '\e04d'
.oi[data-glyph=data-transfer-download]:before
content '\e04e'
.oi[data-glyph=data-transfer-upload]:before
content '\e04f'
.oi[data-glyph=delete]:before
content '\e050'
.oi[data-glyph=dial]:before
content '\e051'
.oi[data-glyph=document]:before
content '\e052'
.oi[data-glyph=dollar]:before
content '\e053'
.oi[data-glyph=double-quote-sans-left]:before
content '\e054'
.oi[data-glyph=double-quote-sans-right]:before
content '\e055'
.oi[data-glyph=double-quote-serif-left]:before
content '\e056'
.oi[data-glyph=double-quote-serif-right]:before
content '\e057'
.oi[data-glyph=droplet]:before
content '\e058'
.oi[data-glyph=eject]:before
content '\e059'
.oi[data-glyph=elevator]:before
content '\e05a'
.oi[data-glyph=ellipses]:before
content '\e05b'
.oi[data-glyph=envelope-closed]:before
content '\e05c'
.oi[data-glyph=envelope-open]:before
content '\e05d'
.oi[data-glyph=euro]:before
content '\e05e'
.oi[data-glyph=excerpt]:before
content '\e05f'
.oi[data-glyph=expand-down]:before
content '\e060'
.oi[data-glyph=expand-left]:before
content '\e061'
.oi[data-glyph=expand-right]:before
content '\e062'
.oi[data-glyph=expand-up]:before
content '\e063'
.oi[data-glyph=external-link]:before
content '\e064'
.oi[data-glyph=eye]:before
content '\e065'
.oi[data-glyph=eyedropper]:before
content '\e066'
.oi[data-glyph=file]:before
content '\e067'
.oi[data-glyph=fire]:before
content '\e068'
.oi[data-glyph=flag]:before
content '\e069'
.oi[data-glyph=flash]:before
content '\e06a'
.oi[data-glyph=folder]:before
content '\e06b'
.oi[data-glyph=fork]:before
content '\e06c'
.oi[data-glyph=fullscreen-enter]:before
content '\e06d'
.oi[data-glyph=fullscreen-exit]:before
content '\e06e'
.oi[data-glyph=globe]:before
content '\e06f'
.oi[data-glyph=graph]:before
content '\e070'
.oi[data-glyph=grid-four-up]:before
content '\e071'
.oi[data-glyph=grid-three-up]:before
content '\e072'
.oi[data-glyph=grid-two-up]:before
content '\e073'
.oi[data-glyph=hard-drive]:before
content '\e074'
.oi[data-glyph=header]:before
content '\e075'
.oi[data-glyph=headphones]:before
content '\e076'
.oi[data-glyph=heart]:before
content '\e077'
.oi[data-glyph=home]:before
content '\e078'
.oi[data-glyph=image]:before
content '\e079'
.oi[data-glyph=inbox]:before
content '\e07a'
.oi[data-glyph=infinity]:before
content '\e07b'
.oi[data-glyph=info]:before
content '\e07c'
.oi[data-glyph=italic]:before
content '\e07d'
.oi[data-glyph=justify-center]:before
content '\e07e'
.oi[data-glyph=justify-left]:before
content '\e07f'
.oi[data-glyph=justify-right]:before
content '\e080'
.oi[data-glyph=key]:before
content '\e081'
.oi[data-glyph=laptop]:before
content '\e082'
.oi[data-glyph=layers]:before
content '\e083'
.oi[data-glyph=lightbulb]:before
content '\e084'
.oi[data-glyph=link-broken]:before
content '\e085'
.oi[data-glyph=link-intact]:before
content '\e086'
.oi[data-glyph=list-rich]:before
content '\e087'
.oi[data-glyph=list]:before
content '\e088'
.oi[data-glyph=location]:before
content '\e089'
.oi[data-glyph=lock-locked]:before
content '\e08a'
.oi[data-glyph=lock-unlocked]:before
content '\e08b'
.oi[data-glyph=loop-circular]:before
content '\e08c'
.oi[data-glyph=loop-square]:before
content '\e08d'
.oi[data-glyph=loop]:before
content '\e08e'
.oi[data-glyph=magnifying-glass]:before
content '\e08f'
.oi[data-glyph=map-marker]:before
content '\e090'
.oi[data-glyph=map]:before
content '\e091'
.oi[data-glyph=media-pause]:before
content '\e092'
.oi[data-glyph=media-play]:before
content '\e093'
.oi[data-glyph=media-record]:before
content '\e094'
.oi[data-glyph=media-skip-backward]:before
content '\e095'
.oi[data-glyph=media-skip-forward]:before
content '\e096'
.oi[data-glyph=media-step-backward]:before
content '\e097'
.oi[data-glyph=media-step-forward]:before
content '\e098'
.oi[data-glyph=media-stop]:before
content '\e099'
.oi[data-glyph=medical-cross]:before
content '\e09a'
.oi[data-glyph=menu]:before
content '\e09b'
.oi[data-glyph=microphone]:before
content '\e09c'
.oi[data-glyph=minus]:before
content '\e09d'
.oi[data-glyph=monitor]:before
content '\e09e'
.oi[data-glyph=moon]:before
content '\e09f'
.oi[data-glyph=move]:before
content '\e0a0'
.oi[data-glyph=musical-note]:before
content '\e0a1'
.oi[data-glyph=paperclip]:before
content '\e0a2'
.oi[data-glyph=pencil]:before
content '\e0a3'
.oi[data-glyph=people]:before
content '\e0a4'
.oi[data-glyph=person]:before
content '\e0a5'
.oi[data-glyph=phone]:before
content '\e0a6'
.oi[data-glyph=pie-chart]:before
content '\e0a7'
.oi[data-glyph=pin]:before
content '\e0a8'
.oi[data-glyph=play-circle]:before
content '\e0a9'
.oi[data-glyph=plus]:before
content '\e0aa'
.oi[data-glyph=power-standby]:before
content '\e0ab'
.oi[data-glyph=print]:before
content '\e0ac'
.oi[data-glyph=project]:before
content '\e0ad'
.oi[data-glyph=pulse]:before
content '\e0ae'
.oi[data-glyph=puzzle-piece]:before
content '\e0af'
.oi[data-glyph=question-mark]:before
content '\e0b0'
.oi[data-glyph=rain]:before
content '\e0b1'
.oi[data-glyph=random]:before
content '\e0b2'
.oi[data-glyph=reload]:before
content '\e0b3'
.oi[data-glyph=resize-both]:before
content '\e0b4'
.oi[data-glyph=resize-height]:before
content '\e0b5'
.oi[data-glyph=resize-width]:before
content '\e0b6'
.oi[data-glyph=rss-alt]:before
content '\e0b7'
.oi[data-glyph=rss]:before
content '\e0b8'
.oi[data-glyph=script]:before
content '\e0b9'
.oi[data-glyph=share-boxed]:before
content '\e0ba'
.oi[data-glyph=share]:before
content '\e0bb'
.oi[data-glyph=shield]:before
content '\e0bc'
.oi[data-glyph=signal]:before
content '\e0bd'
.oi[data-glyph=signpost]:before
content '\e0be'
.oi[data-glyph=sort-ascending]:before
content '\e0bf'
.oi[data-glyph=sort-descending]:before
content '\e0c0'
.oi[data-glyph=spreadsheet]:before
content '\e0c1'
.oi[data-glyph=star]:before
content '\e0c2'
.oi[data-glyph=sun]:before
content '\e0c3'
.oi[data-glyph=tablet]:before
content '\e0c4'
.oi[data-glyph=tag]:before
content '\e0c5'
.oi[data-glyph=tags]:before
content '\e0c6'
.oi[data-glyph=target]:before
content '\e0c7'
.oi[data-glyph=task]:before
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/*!
* MIT License
*
* Copyright (c) 2020 Romans Pokrovskis
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
a { color: #8c8cfa; }
::-webkit-scrollbar-track-piece { background-color: rgba(255, 255, 255, .2) !important; }
::-webkit-scrollbar-track { background-color: rgba(255, 255, 255, .3) !important; }
::-webkit-scrollbar-thumb { background-color: rgba(255, 255, 255, .5) !important; }
embed[type="application/pdf"] { filter: invert(90%); }
html {
background: #1f1f1f !important;
box-sizing: border-box;
filter: contrast(100%) brightness(100%) saturate(100%);
overflow-y: scroll;
}
body {
background: #1f1f1f;
background-color: #1f1f1f;
background-image: none !important;
}
button, input, select, textarea {
background-color: #1f1f1f;
color: #bfbfbf;
}
font, html { color: #bfbfbf; }
.swagger-ui, .swagger-ui section h3 { color: #b5bac9; }
.swagger-ui a { background-color: transparent; }
.swagger-ui mark {
background-color: #664b00;
color: #bfbfbf;
}
.swagger-ui legend { color: inherit; }
.swagger-ui .debug * { outline: #e6da99 solid 1px; }
.swagger-ui .debug-white * { outline: #fff solid 1px; }
.swagger-ui .debug-black * { outline: #bfbfbf solid 1px; }
.swagger-ui .debug-grid { background: url(data:image/png;base64,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) 0 0; }
.swagger-ui .debug-grid-16 { background: url(data:image/png;base64,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) 0 0; }
.swagger-ui .debug-grid-8-solid { background: url(data:image/jpeg;base64,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) 0 0 #1c1c21; }
.swagger-ui .debug-grid-16-solid { background: url(data:image/png;base64,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) 0 0 #1c1c21; }
.swagger-ui .b--black { border-color: #000; }
.swagger-ui .b--near-black { border-color: #121212; }
.swagger-ui .b--dark-gray { border-color: #333; }
.swagger-ui .b--mid-gray { border-color: #545454; }
.swagger-ui .b--gray { border-color: #787878; }
.swagger-ui .b--silver { border-color: #999; }
.swagger-ui .b--light-silver { border-color: #6e6e6e; }
.swagger-ui .b--moon-gray { border-color: #4d4d4d; }
.swagger-ui .b--light-gray { border-color: #2b2b2b; }
.swagger-ui .b--near-white { border-color: #242424; }
.swagger-ui .b--white { border-color: #1c1c21; }
.swagger-ui .b--white-90 { border-color: rgba(28, 28, 33, .9); }
.swagger-ui .b--white-80 { border-color: rgba(28, 28, 33, .8); }
.swagger-ui .b--white-70 { border-color: rgba(28, 28, 33, .7); }
.swagger-ui .b--white-60 { border-color: rgba(28, 28, 33, .6); }
.swagger-ui .b--white-50 { border-color: rgba(28, 28, 33, .5); }
.swagger-ui .b--white-40 { border-color: rgba(28, 28, 33, .4); }
.swagger-ui .b--white-30 { border-color: rgba(28, 28, 33, .3); }
.swagger-ui .b--white-20 { border-color: rgba(28, 28, 33, .2); }
.swagger-ui .b--white-10 { border-color: rgba(28, 28, 33, .1); }
.swagger-ui .b--white-05 { border-color: rgba(28, 28, 33, .05); }
.swagger-ui .b--white-025 { border-color: rgba(28, 28, 33, .024); }
.swagger-ui .b--white-0125 { border-color: rgba(28, 28, 33, .01); }
.swagger-ui .b--black-90 { border-color: rgba(0, 0, 0, .9); }
.swagger-ui .b--black-80 { border-color: rgba(0, 0, 0, .8); }
.swagger-ui .b--black-70 { border-color: rgba(0, 0, 0, .7); }
.swagger-ui .b--black-60 { border-color: rgba(0, 0, 0, .6); }
.swagger-ui .b--black-50 { border-color: rgba(0, 0, 0, .5); }
.swagger-ui .b--black-40 { border-color: rgba(0, 0, 0, .4); }
.swagger-ui .b--black-30 { border-color: rgba(0, 0, 0, .3); }
.swagger-ui .b--black-20 { border-color: rgba(0, 0, 0, .2); }
.swagger-ui .b--black-10 { border-color: rgba(0, 0, 0, .1); }
.swagger-ui .b--black-05 { border-color: rgba(0, 0, 0, .05); }
.swagger-ui .b--black-025 { border-color: rgba(0, 0, 0, .024); }
.swagger-ui .b--black-0125 { border-color: rgba(0, 0, 0, .01); }
.swagger-ui .b--dark-red { border-color: #bc2f36; }
.swagger-ui .b--red { border-color: #c83932; }
.swagger-ui .b--light-red { border-color: #ab3c2b; }
.swagger-ui .b--orange { border-color: #cc6e33; }
.swagger-ui .b--purple { border-color: #5e2ca5; }
.swagger-ui .b--light-purple { border-color: #672caf; }
.swagger-ui .b--dark-pink { border-color: #ab2b81; }
.swagger-ui .b--hot-pink { border-color: #c03086; }
.swagger-ui .b--pink { border-color: #8f2464; }
.swagger-ui .b--light-pink { border-color: #721d4d; }
.swagger-ui .b--dark-green { border-color: #1c6e50; }
.swagger-ui .b--green { border-color: #279b70; }
.swagger-ui .b--light-green { border-color: #228762; }
.swagger-ui .b--navy { border-color: #0d1d35; }
.swagger-ui .b--dark-blue { border-color: #20497e; }
.swagger-ui .b--blue { border-color: #4380d0; }
.swagger-ui .b--light-blue { border-color: #20517e; }
.swagger-ui .b--lightest-blue { border-color: #143a52; }
.swagger-ui .b--washed-blue { border-color: #0c312d; }
.swagger-ui .b--washed-green { border-color: #0f3d2c; }
.swagger-ui .b--washed-red { border-color: #411010; }
.swagger-ui .b--transparent { border-color: transparent; }
.swagger-ui .b--gold, .swagger-ui .b--light-yellow, .swagger-ui .b--washed-yellow, .swagger-ui .b--yellow { border-color: #664b00; }
.swagger-ui .shadow-1 { box-shadow: rgba(0, 0, 0, .2) 0 0 4px 2px; }
.swagger-ui .shadow-2 { box-shadow: rgba(0, 0, 0, .2) 0 0 8px 2px; }
.swagger-ui .shadow-3 { box-shadow: rgba(0, 0, 0, .2) 2px 2px 4px 2px; }
.swagger-ui .shadow-4 { box-shadow: rgba(0, 0, 0, .2) 2px 2px 8px 0; }
.swagger-ui .shadow-5 { box-shadow: rgba(0, 0, 0, .2) 4px 4px 8px 0; }
@media screen and (min-width: 30em) {
.swagger-ui .shadow-1-ns { box-shadow: rgba(0, 0, 0, .2) 0 0 4px 2px; }
.swagger-ui .shadow-2-ns { box-shadow: rgba(0, 0, 0, .2) 0 0 8px 2px; }
.swagger-ui .shadow-3-ns { box-shadow: rgba(0, 0, 0, .2) 2px 2px 4px 2px; }
.swagger-ui .shadow-4-ns { box-shadow: rgba(0, 0, 0, .2) 2px 2px 8px 0; }
.swagger-ui .shadow-5-ns { box-shadow: rgba(0, 0, 0, .2) 4px 4px 8px 0; }
}
@media screen and (max-width: 60em) and (min-width: 30em) {
.swagger-ui .shadow-1-m { box-shadow: rgba(0, 0, 0, .2) 0 0 4px 2px; }
.swagger-ui .shadow-2-m { box-shadow: rgba(0, 0, 0, .2) 0 0 8px 2px; }
.swagger-ui .shadow-3-m { box-shadow: rgba(0, 0, 0, .2) 2px 2px 4px 2px; }
.swagger-ui .shadow-4-m { box-shadow: rgba(0, 0, 0, .2) 2px 2px 8px 0; }
.swagger-ui .shadow-5-m { box-shadow: rgba(0, 0, 0, .2) 4px 4px 8px 0; }
}
@media screen and (min-width: 60em) {
.swagger-ui .shadow-1-l { box-shadow: rgba(0, 0, 0, .2) 0 0 4px 2px; }
.swagger-ui .shadow-2-l { box-shadow: rgba(0, 0, 0, .2) 0 0 8px 2px; }
.swagger-ui .shadow-3-l { box-shadow: rgba(0, 0, 0, .2) 2px 2px 4px 2px; }
.swagger-ui .shadow-4-l { box-shadow: rgba(0, 0, 0, .2) 2px 2px 8px 0; }
.swagger-ui .shadow-5-l { box-shadow: rgba(0, 0, 0, .2) 4px 4px 8px 0; }
}
.swagger-ui .black-05 { color: rgba(191, 191, 191, .05); }
.swagger-ui .bg-black-05 { background-color: rgba(0, 0, 0, .05); }
.swagger-ui .black-90, .swagger-ui .hover-black-90:focus, .swagger-ui .hover-black-90:hover { color: rgba(191, 191, 191, .9); }
.swagger-ui .black-80, .swagger-ui .hover-black-80:focus, .swagger-ui .hover-black-80:hover { color: rgba(191, 191, 191, .8); }
.swagger-ui .black-70, .swagger-ui .hover-black-70:focus, .swagger-ui .hover-black-70:hover { color: rgba(191, 191, 191, .7); }
.swagger-ui .black-60, .swagger-ui .hover-black-60:focus, .swagger-ui .hover-black-60:hover { color: rgba(191, 191, 191, .6); }
.swagger-ui .black-50, .swagger-ui .hover-black-50:focus, .swagger-ui .hover-black-50:hover { color: rgba(191, 191, 191, .5); }
.swagger-ui .black-40, .swagger-ui .hover-black-40:focus, .swagger-ui .hover-black-40:hover { color: rgba(191, 191, 191, .4); }
.swagger-ui .black-30, .swagger-ui .hover-black-30:focus, .swagger-ui .hover-black-30:hover { color: rgba(191, 191, 191, .3); }
.swagger-ui .black-20, .swagger-ui .hover-black-20:focus, .swagger-ui .hover-black-20:hover { color: rgba(191, 191, 191, .2); }
.swagger-ui .black-10, .swagger-ui .hover-black-10:focus, .swagger-ui .hover-black-10:hover { color: rgba(191, 191, 191, .1); }
.swagger-ui .hover-white-90:focus, .swagger-ui .hover-white-90:hover, .swagger-ui .white-90 { color: rgba(255, 255, 255, .9); }
.swagger-ui .hover-white-80:focus, .swagger-ui .hover-white-80:hover, .swagger-ui .white-80 { color: rgba(255, 255, 255, .8); }
.swagger-ui .hover-white-70:focus, .swagger-ui .hover-white-70:hover, .swagger-ui .white-70 { color: rgba(255, 255, 255, .7); }
.swagger-ui .hover-white-60:focus, .swagger-ui .hover-white-60:hover, .swagger-ui .white-60 { color: rgba(255, 255, 255, .6); }
.swagger-ui .hover-white-50:focus, .swagger-ui .hover-white-50:hover, .swagger-ui .white-50 { color: rgba(255, 255, 255, .5); }
.swagger-ui .hover-white-40:focus, .swagger-ui .hover-white-40:hover, .swagger-ui .white-40 { color: rgba(255, 255, 255, .4); }
.swagger-ui .hover-white-30:focus, .swagger-ui .hover-white-30:hover, .swagger-ui .white-30 { color: rgba(255, 255, 255, .3); }
.swagger-ui .hover-white-20:focus, .swagger-ui .hover-white-20:hover, .swagger-ui .white-20 { color: rgba(255, 255, 255, .2); }
.swagger-ui .hover-white-10:focus, .swagger-ui .hover-white-10:hover, .swagger-ui .white-10 { color: rgba(255, 255, 255, .1); }
.swagger-ui .hover-moon-gray:focus, .swagger-ui .hover-moon-gray:hover, .swagger-ui .moon-gray { color: #ccc; }
.swagger-ui .hover-light-gray:focus, .swagger-ui .hover-light-gray:hover, .swagger-ui .light-gray { color: #ededed; }
.swagger-ui .hover-near-white:focus, .swagger-ui .hover-near-white:hover, .swagger-ui .near-white { color: #f5f5f5; }
.swagger-ui .dark-red, .swagger-ui .hover-dark-red:focus, .swagger-ui .hover-dark-red:hover { color: #e6999d; }
.swagger-ui .hover-red:focus, .swagger-ui .hover-red:hover, .swagger-ui .red { color: #e69d99; }
.swagger-ui .hover-light-red:focus, .swagger-ui .hover-light-red:hover, .swagger-ui .light-red { color: #e6a399; }
.swagger-ui .hover-orange:focus, .swagger-ui .hover-orange:hover, .swagger-ui .orange { color: #e6b699; }
.swagger-ui .gold, .swagger-ui .hover-gold:focus, .swagger-ui .hover-gold:hover { color: #e6d099; }
.swagger-ui .hover-yellow:focus, .swagger-ui .hover-yellow:hover, .swagger-ui .yellow { color: #e6da99; }
.swagger-ui .hover-light-yellow:focus, .swagger-ui .hover-light-yellow:hover, .swagger-ui .light-yellow { color: #ede6b6; }
.swagger-ui .hover-purple:focus, .swagger-ui .hover-purple:hover, .swagger-ui .purple { color: #b99ae4; }
.swagger-ui .hover-light-purple:focus, .swagger-ui .hover-light-purple:hover, .swagger-ui .light-purple { color: #bb99e6; }
.swagger-ui .dark-pink, .swagger-ui .hover-dark-pink:focus, .swagger-ui .hover-dark-pink:hover { color: #e699cc; }
.swagger-ui .hot-pink, .swagger-ui .hover-hot-pink:focus, .swagger-ui .hover-hot-pink:hover, .swagger-ui .hover-pink:focus, .swagger-ui .hover-pink:hover, .swagger-ui .pink { color: #e699c7; }
.swagger-ui .hover-light-pink:focus, .swagger-ui .hover-light-pink:hover, .swagger-ui .light-pink { color: #edb6d5; }
.swagger-ui .dark-green, .swagger-ui .green, .swagger-ui .hover-dark-green:focus, .swagger-ui .hover-dark-green:hover, .swagger-ui .hover-green:focus, .swagger-ui .hover-green:hover { color: #99e6c9; }
.swagger-ui .hover-light-green:focus, .swagger-ui .hover-light-green:hover, .swagger-ui .light-green { color: #a1e8ce; }
.swagger-ui .hover-navy:focus, .swagger-ui .hover-navy:hover, .swagger-ui .navy { color: #99b8e6; }
.swagger-ui .blue, .swagger-ui .dark-blue, .swagger-ui .hover-blue:focus, .swagger-ui .hover-blue:hover, .swagger-ui .hover-dark-blue:focus, .swagger-ui .hover-dark-blue:hover { color: #99bae6; }
.swagger-ui .hover-light-blue:focus, .swagger-ui .hover-light-blue:hover, .swagger-ui .light-blue { color: #a9cbea; }
.swagger-ui .hover-lightest-blue:focus, .swagger-ui .hover-lightest-blue:hover, .swagger-ui .lightest-blue { color: #d6e9f5; }
.swagger-ui .hover-washed-blue:focus, .swagger-ui .hover-washed-blue:hover, .swagger-ui .washed-blue { color: #f7fdfc; }
.swagger-ui .hover-washed-green:focus, .swagger-ui .hover-washed-green:hover, .swagger-ui .washed-green { color: #ebfaf4; }
.swagger-ui .hover-washed-yellow:focus, .swagger-ui .hover-washed-yellow:hover, .swagger-ui .washed-yellow { color: #fbf9ef; }
.swagger-ui .hover-washed-red:focus, .swagger-ui .hover-washed-red:hover, .swagger-ui .washed-red { color: #f9e7e7; }
.swagger-ui .color-inherit, .swagger-ui .hover-inherit:focus, .swagger-ui .hover-inherit:hover { color: inherit; }
.swagger-ui .bg-black-90, .swagger-ui .hover-bg-black-90:focus, .swagger-ui .hover-bg-black-90:hover { background-color: rgba(0, 0, 0, .9); }
.swagger-ui .bg-black-80, .swagger-ui .hover-bg-black-80:focus, .swagger-ui .hover-bg-black-80:hover { background-color: rgba(0, 0, 0, .8); }
.swagger-ui .bg-black-70, .swagger-ui .hover-bg-black-70:focus, .swagger-ui .hover-bg-black-70:hover { background-color: rgba(0, 0, 0, .7); }
.swagger-ui .bg-black-60, .swagger-ui .hover-bg-black-60:focus, .swagger-ui .hover-bg-black-60:hover { background-color: rgba(0, 0, 0, .6); }
.swagger-ui .bg-black-50, .swagger-ui .hover-bg-black-50:focus, .swagger-ui .hover-bg-black-50:hover { background-color: rgba(0, 0, 0, .5); }
.swagger-ui .bg-black-40, .swagger-ui .hover-bg-black-40:focus, .swagger-ui .hover-bg-black-40:hover { background-color: rgba(0, 0, 0, .4); }
.swagger-ui .bg-black-30, .swagger-ui .hover-bg-black-30:focus, .swagger-ui .hover-bg-black-30:hover { background-color: rgba(0, 0, 0, .3); }
.swagger-ui .bg-black-20, .swagger-ui .hover-bg-black-20:focus, .swagger-ui .hover-bg-black-20:hover { background-color: rgba(0, 0, 0, .2); }
.swagger-ui .bg-white-90, .swagger-ui .hover-bg-white-90:focus, .swagger-ui .hover-bg-white-90:hover { background-color: rgba(28, 28, 33, .9); }
.swagger-ui .bg-white-80, .swagger-ui .hover-bg-white-80:focus, .swagger-ui .hover-bg-white-80:hover { background-color: rgba(28, 28, 33, .8); }
.swagger-ui .bg-white-70, .swagger-ui .hover-bg-white-70:focus, .swagger-ui .hover-bg-white-70:hover { background-color: rgba(28, 28, 33, .7); }
.swagger-ui .bg-white-60, .swagger-ui .hover-bg-white-60:focus, .swagger-ui .hover-bg-white-60:hover { background-color: rgba(28, 28, 33, .6); }
.swagger-ui .bg-white-50, .swagger-ui .hover-bg-white-50:focus, .swagger-ui .hover-bg-white-50:hover { background-color: rgba(28, 28, 33, .5); }
.swagger-ui .bg-white-40, .swagger-ui .hover-bg-white-40:focus, .swagger-ui .hover-bg-white-40:hover { background-color: rgba(28, 28, 33, .4); }
.swagger-ui .bg-white-30, .swagger-ui .hover-bg-white-30:focus, .swagger-ui .hover-bg-white-30:hover { background-color: rgba(28, 28, 33, .3); }
.swagger-ui .bg-white-20, .swagger-ui .hover-bg-white-20:focus, .swagger-ui .hover-bg-white-20:hover { background-color: rgba(28, 28, 33, .2); }
.swagger-ui .bg-black, .swagger-ui .hover-bg-black:focus, .swagger-ui .hover-bg-black:hover { background-color: #000; }
.swagger-ui .bg-near-black, .swagger-ui .hover-bg-near-black:focus, .swagger-ui .hover-bg-near-black:hover { background-color: #121212; }
.swagger-ui .bg-dark-gray, .swagger-ui .hover-bg-dark-gray:focus, .swagger-ui .hover-bg-dark-gray:hover { background-color: #333; }
.swagger-ui .bg-mid-gray, .swagger-ui .hover-bg-mid-gray:focus, .swagger-ui .hover-bg-mid-gray:hover { background-color: #545454; }
.swagger-ui .bg-gray, .swagger-ui .hover-bg-gray:focus, .swagger-ui .hover-bg-gray:hover { background-color: #787878; }
.swagger-ui .bg-silver, .swagger-ui .hover-bg-silver:focus, .swagger-ui .hover-bg-silver:hover { background-color: #999; }
.swagger-ui .bg-white, .swagger-ui .hover-bg-white:focus, .swagger-ui .hover-bg-white:hover { background-color: #1c1c21; }
.swagger-ui .bg-transparent, .swagger-ui .hover-bg-transparent:focus, .swagger-ui .hover-bg-transparent:hover { background-color: transparent; }
.swagger-ui .bg-dark-red, .swagger-ui .hover-bg-dark-red:focus, .swagger-ui .hover-bg-dark-red:hover { background-color: #bc2f36; }
.swagger-ui .bg-red, .swagger-ui .hover-bg-red:focus, .swagger-ui .hover-bg-red:hover { background-color: #c83932; }
.swagger-ui .bg-light-red, .swagger-ui .hover-bg-light-red:focus, .swagger-ui .hover-bg-light-red:hover { background-color: #ab3c2b; }
.swagger-ui .bg-orange, .swagger-ui .hover-bg-orange:focus, .swagger-ui .hover-bg-orange:hover { background-color: #cc6e33; }
.swagger-ui .bg-gold, .swagger-ui .bg-light-yellow, .swagger-ui .bg-washed-yellow, .swagger-ui .bg-yellow, .swagger-ui .hover-bg-gold:focus, .swagger-ui .hover-bg-gold:hover, .swagger-ui .hover-bg-light-yellow:focus, .swagger-ui .hover-bg-light-yellow:hover, .swagger-ui .hover-bg-washed-yellow:focus, .swagger-ui .hover-bg-washed-yellow:hover, .swagger-ui .hover-bg-yellow:focus, .swagger-ui .hover-bg-yellow:hover { background-color: #664b00; }
.swagger-ui .bg-purple, .swagger-ui .hover-bg-purple:focus, .swagger-ui .hover-bg-purple:hover { background-color: #5e2ca5; }
.swagger-ui .bg-light-purple, .swagger-ui .hover-bg-light-purple:focus, .swagger-ui .hover-bg-light-purple:hover { background-color: #672caf; }
.swagger-ui .bg-dark-pink, .swagger-ui .hover-bg-dark-pink:focus, .swagger-ui .hover-bg-dark-pink:hover { background-color: #ab2b81; }
.swagger-ui .bg-hot-pink, .swagger-ui .hover-bg-hot-pink:focus, .swagger-ui .hover-bg-hot-pink:hover { background-color: #c03086; }
.swagger-ui .bg-pink, .swagger-ui .hover-bg-pink:focus, .swagger-ui .hover-bg-pink:hover { background-color: #8f2464; }
.swagger-ui .bg-light-pink, .swagger-ui .hover-bg-light-pink:focus, .swagger-ui .hover-bg-light-pink:hover { background-color: #721d4d; }
.swagger-ui .bg-dark-green, .swagger-ui .hover-bg-dark-green:focus, .swagger-ui .hover-bg-dark-green:hover { background-color: #1c6e50; }
.swagger-ui .bg-green, .swagger-ui .hover-bg-green:focus, .swagger-ui .hover-bg-green:hover { background-color: #279b70; }
.swagger-ui .bg-light-green, .swagger-ui .hover-bg-light-green:focus, .swagger-ui .hover-bg-light-green:hover { background-color: #228762; }
.swagger-ui .bg-navy, .swagger-ui .hover-bg-navy:focus, .swagger-ui .hover-bg-navy:hover { background-color: #0d1d35; }
.swagger-ui .bg-dark-blue, .swagger-ui .hover-bg-dark-blue:focus, .swagger-ui .hover-bg-dark-blue:hover { background-color: #20497e; }
.swagger-ui .bg-blue, .swagger-ui .hover-bg-blue:focus, .swagger-ui .hover-bg-blue:hover { background-color: #4380d0; }
.swagger-ui .bg-light-blue, .swagger-ui .hover-bg-light-blue:focus, .swagger-ui .hover-bg-light-blue:hover { background-color: #20517e; }
.swagger-ui .bg-lightest-blue, .swagger-ui .hover-bg-lightest-blue:focus, .swagger-ui .hover-bg-lightest-blue:hover { background-color: #143a52; }
.swagger-ui .bg-washed-blue, .swagger-ui .hover-bg-washed-blue:focus, .swagger-ui .hover-bg-washed-blue:hover { background-color: #0c312d; }
.swagger-ui .bg-washed-green, .swagger-ui .hover-bg-washed-green:focus, .swagger-ui .hover-bg-washed-green:hover { background-color: #0f3d2c; }
.swagger-ui .bg-washed-red, .swagger-ui .hover-bg-washed-red:focus, .swagger-ui .hover-bg-washed-red:hover { background-color: #411010; }
.swagger-ui .bg-inherit, .swagger-ui .hover-bg-inherit:focus, .swagger-ui .hover-bg-inherit:hover { background-color: inherit; }
.swagger-ui .shadow-hover { transition: all .5s cubic-bezier(.165, .84, .44, 1) 0s; }
.swagger-ui .shadow-hover::after {
border-radius: inherit;
box-shadow: rgba(0, 0, 0, .2) 0 0 16px 2px;
content: "";
height: 100%;
left: 0;
opacity: 0;
position: absolute;
top: 0;
transition: opacity .5s cubic-bezier(.165, .84, .44, 1) 0s;
width: 100%;
z-index: -1;
}
.swagger-ui .bg-animate, .swagger-ui .bg-animate:focus, .swagger-ui .bg-animate:hover { transition: background-color .15s ease-in-out 0s; }
.swagger-ui .nested-links a {
color: #99bae6;
transition: color .15s ease-in 0s;
}
.swagger-ui .nested-links a:focus, .swagger-ui .nested-links a:hover {
color: #a9cbea;
transition: color .15s ease-in 0s;
}
.swagger-ui .opblock-tag {
border-bottom: 1px solid rgba(58, 64, 80, .3);
color: #b5bac9;
transition: all .2s ease 0s;
}
.swagger-ui .opblock-tag svg, .swagger-ui section.models h4 svg { transition: all .4s ease 0s; }
.swagger-ui .opblock {
border: 1px solid #000;
border-radius: 4px;
box-shadow: rgba(0, 0, 0, .19) 0 0 3px;
margin: 0 0 15px;
}
.swagger-ui .opblock .tab-header .tab-item.active h4 span::after { background: gray; }
.swagger-ui .opblock.is-open .opblock-summary { border-bottom: 1px solid #000; }
.swagger-ui .opblock .opblock-section-header {
background: rgba(28, 28, 33, .8);
box-shadow: rgba(0, 0, 0, .1) 0 1px 2px;
}
.swagger-ui .opblock .opblock-section-header > label > span { padding: 0 10px 0 0; }
.swagger-ui .opblock .opblock-summary-method {
background: #000;
color: #fff;
text-shadow: rgba(0, 0, 0, .1) 0 1px 0;
}
.swagger-ui .opblock.opblock-post {
background: rgba(72, 203, 144, .1);
border-color: #48cb90;
}
.swagger-ui .opblock.opblock-post .opblock-summary-method, .swagger-ui .opblock.opblock-post .tab-header .tab-item.active h4 span::after { background: #48cb90; }
.swagger-ui .opblock.opblock-post .opblock-summary { border-color: #48cb90; }
.swagger-ui .opblock.opblock-put {
background: rgba(213, 157, 88, .1);
border-color: #d59d58;
}
.swagger-ui .opblock.opblock-put .opblock-summary-method, .swagger-ui .opblock.opblock-put .tab-header .tab-item.active h4 span::after { background: #d59d58; }
.swagger-ui .opblock.opblock-put .opblock-summary { border-color: #d59d58; }
.swagger-ui .opblock.opblock-delete {
background: rgba(200, 50, 50, .1);
border-color: #c83232;
}
.swagger-ui .opblock.opblock-delete .opblock-summary-method, .swagger-ui .opblock.opblock-delete .tab-header .tab-item.active h4 span::after { background: #c83232; }
.swagger-ui .opblock.opblock-delete .opblock-summary { border-color: #c83232; }
.swagger-ui .opblock.opblock-get {
background: rgba(42, 105, 167, .1);
border-color: #2a69a7;
}
.swagger-ui .opblock.opblock-get .opblock-summary-method, .swagger-ui .opblock.opblock-get .tab-header .tab-item.active h4 span::after { background: #2a69a7; }
.swagger-ui .opblock.opblock-get .opblock-summary { border-color: #2a69a7; }
.swagger-ui .opblock.opblock-patch {
background: rgba(92, 214, 188, .1);
border-color: #5cd6bc;
}
.swagger-ui .opblock.opblock-patch .opblock-summary-method, .swagger-ui .opblock.opblock-patch .tab-header .tab-item.active h4 span::after { background: #5cd6bc; }
.swagger-ui .opblock.opblock-patch .opblock-summary { border-color: #5cd6bc; }
.swagger-ui .opblock.opblock-head {
background: rgba(140, 63, 207, .1);
border-color: #8c3fcf;
}
.swagger-ui .opblock.opblock-head .opblock-summary-method, .swagger-ui .opblock.opblock-head .tab-header .tab-item.active h4 span::after { background: #8c3fcf; }
.swagger-ui .opblock.opblock-head .opblock-summary { border-color: #8c3fcf; }
.swagger-ui .opblock.opblock-options {
background: rgba(36, 89, 143, .1);
border-color: #24598f;
}
.swagger-ui .opblock.opblock-options .opblock-summary-method, .swagger-ui .opblock.opblock-options .tab-header .tab-item.active h4 span::after { background: #24598f; }
.swagger-ui .opblock.opblock-options .opblock-summary { border-color: #24598f; }
.swagger-ui .opblock.opblock-deprecated {
background: rgba(46, 46, 46, .1);
border-color: #2e2e2e;
opacity: .6;
}
.swagger-ui .opblock.opblock-deprecated .opblock-summary-method, .swagger-ui .opblock.opblock-deprecated .tab-header .tab-item.active h4 span::after { background: #2e2e2e; }
.swagger-ui .opblock.opblock-deprecated .opblock-summary { border-color: #2e2e2e; }
.swagger-ui .filter .operation-filter-input { border: 2px solid #2b3446; }
.swagger-ui .tab li:first-of-type::after { background: rgba(0, 0, 0, .2); }
.swagger-ui .download-contents {
background: #7c8192;
color: #fff;
}
.swagger-ui .scheme-container {
background: #1c1c21;
box-shadow: rgba(0, 0, 0, .15) 0 1px 2px 0;
}
.swagger-ui .loading-container .loading::before {
animation: 1s linear 0s infinite normal none running rotation, .5s ease 0s 1 normal none running opacity;
border-color: rgba(0, 0, 0, .6) rgba(84, 84, 84, .1) rgba(84, 84, 84, .1);
}
.swagger-ui .response-control-media-type--accept-controller select { border-color: #196619; }
.swagger-ui .response-control-media-type__accept-message { color: #99e699; }
.swagger-ui .version-pragma__message code { background-color: #3b3b3b; }
.swagger-ui .btn {
background: 0 0;
border: 2px solid gray;
box-shadow: rgba(0, 0, 0, .1) 0 1px 2px;
color: #b5bac9;
}
.swagger-ui .btn:hover { box-shadow: rgba(0, 0, 0, .3) 0 0 5px; }
.swagger-ui .btn.authorize, .swagger-ui .btn.cancel {
background-color: transparent;
border-color: #a72a2a;
color: #e69999;
}
.swagger-ui .btn.authorize {
border-color: #48cb90;
color: #9ce3c3;
}
.swagger-ui .btn.authorize svg { fill: #9ce3c3; }
.swagger-ui .btn.execute {
background-color: #5892d5;
border-color: #5892d5;
color: #fff;
}
.swagger-ui .copy-to-clipboard { background: #7c8192; }
.swagger-ui .copy-to-clipboard button { background: url("data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path fill=\"%23fff\" fill-rule=\"evenodd\" d=\"M2 13h4v1H2v-1zm5-6H2v1h5V7zm2 3V8l-3 3 3 3v-2h5v-2H9zM4.5 9H2v1h2.5V9zM2 12h2.5v-1H2v1zm9 1h1v2c-.02.28-.11.52-.3.7-.19.18-.42.28-.7.3H1c-.55 0-1-.45-1-1V4c0-.55.45-1 1-1h3c0-1.11.89-2 2-2 1.11 0 2 .89 2 2h3c.55 0 1 .45 1 1v5h-1V6H1v9h10v-2zM2 5h8c0-.55-.45-1-1-1H8c-.55 0-1-.45-1-1s-.45-1-1-1-1 .45-1 1-.45 1-1 1H3c-.55 0-1 .45-1 1z\"/></svg>") 50% center no-repeat; }
.swagger-ui select {
background: url("data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 20 20\"><path d=\"M13.418 7.859a.695.695 0 01.978 0 .68.68 0 010 .969l-3.908 3.83a.697.697 0 01-.979 0l-3.908-3.83a.68.68 0 010-.969.695.695 0 01.978 0L10 11l3.418-3.141z\"/></svg>") right 10px center/20px no-repeat #212121;
background: url(data:image/svg+xml;base64,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) right 10px center/20px no-repeat #1c1c21;
border: 2px solid #41444e;
}
.swagger-ui select[multiple] { background: #212121; }
.swagger-ui button.invalid, .swagger-ui input[type=email].invalid, .swagger-ui input[type=file].invalid, .swagger-ui input[type=password].invalid, .swagger-ui input[type=search].invalid, .swagger-ui input[type=text].invalid, .swagger-ui select.invalid, .swagger-ui textarea.invalid {
background: #390e0e;
border-color: #c83232;
}
.swagger-ui input[type=email], .swagger-ui input[type=file], .swagger-ui input[type=password], .swagger-ui input[type=search], .swagger-ui input[type=text], .swagger-ui textarea {
background: #1c1c21;
border: 1px solid #404040;
}
.swagger-ui textarea {
background: rgba(28, 28, 33, .8);
color: #b5bac9;
}
.swagger-ui input[disabled], .swagger-ui select[disabled] {
background-color: #1f1f1f;
color: #bfbfbf;
}
.swagger-ui textarea[disabled] {
background-color: #41444e;
color: #fff;
}
.swagger-ui select[disabled] { border-color: #878787; }
.swagger-ui textarea:focus { border: 2px solid #2a69a7; }
.swagger-ui .checkbox input[type=checkbox] + label > .item {
background: #303030;
box-shadow: #303030 0 0 0 2px;
}
.swagger-ui .checkbox input[type=checkbox]:checked + label > .item { background: url("data:image/svg+xml;charset=utf-8,<svg width=\"10\" height=\"8\" viewBox=\"3 7 10 8\" xmlns=\"http://www.w3.org/2000/svg\"><path fill=\"%2341474E\" fill-rule=\"evenodd\" d=\"M6.333 15L3 11.667l1.333-1.334 2 2L11.667 7 13 8.333z\"/></svg>") 50% center no-repeat #303030; }
.swagger-ui .dialog-ux .backdrop-ux { background: rgba(0, 0, 0, .8); }
.swagger-ui .dialog-ux .modal-ux {
background: #1c1c21;
border: 1px solid #2e2e2e;
box-shadow: rgba(0, 0, 0, .2) 0 10px 30px 0;
}
.swagger-ui .dialog-ux .modal-ux-header .close-modal { background: 0 0; }
.swagger-ui .model .deprecated span, .swagger-ui .model .deprecated td { color: #bfbfbf !important; }
.swagger-ui .model-toggle::after { background: url("data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"24\" height=\"24\"><path d=\"M10 6L8.59 7.41 13.17 12l-4.58 4.59L10 18l6-6z\"/></svg>") 50% center/100% no-repeat; }
.swagger-ui .model-hint {
background: rgba(0, 0, 0, .7);
color: #ebebeb;
}
.swagger-ui section.models { border: 1px solid rgba(58, 64, 80, .3); }
.swagger-ui section.models.is-open h4 { border-bottom: 1px solid rgba(58, 64, 80, .3); }
.swagger-ui section.models .model-container { background: rgba(0, 0, 0, .05); }
.swagger-ui section.models .model-container:hover { background: rgba(0, 0, 0, .07); }
.swagger-ui .model-box { background: rgba(0, 0, 0, .1); }
.swagger-ui .prop-type { color: #aaaad4; }
.swagger-ui table thead tr td, .swagger-ui table thead tr th {
border-bottom: 1px solid rgba(58, 64, 80, .2);
color: #b5bac9;
}
.swagger-ui .parameter__name.required::after { color: rgba(230, 153, 153, .6); }
.swagger-ui .topbar .download-url-wrapper .select-label { color: #f0f0f0; }
.swagger-ui .topbar .download-url-wrapper .download-url-button {
background: #63a040;
color: #fff;
}
.swagger-ui .info .title small { background: #7c8492; }
.swagger-ui .info .title small.version-stamp { background-color: #7a9b27; }
.swagger-ui .auth-container .errors {
background-color: #350d0d;
color: #b5bac9;
}
.swagger-ui .errors-wrapper {
background: rgba(200, 50, 50, .1);
border: 2px solid #c83232;
}
.swagger-ui .markdown code, .swagger-ui .renderedmarkdown code {
background: rgba(0, 0, 0, .05);
color: #c299e6;
}
.swagger-ui .model-toggle:after { background: url(data:image/svg+xml;base64,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) 50% no-repeat; }
.swagger-ui .expand-operation svg, .swagger-ui section.models h4 svg { fill: #fff; }
::-webkit-scrollbar-track { background-color: #646464 !important; }
::-webkit-scrollbar-thumb {
background-color: #242424 !important;
border: 2px solid #3e4346 !important;
}
::-webkit-scrollbar-button:vertical:start:decrement {
background: linear-gradient(130deg, #696969 40%, rgba(255, 0, 0, 0) 41%), linear-gradient(230deg, #696969 40%, transparent 41%), linear-gradient(0deg, #696969 40%, transparent 31%);
background-color: #b6b6b6;
}
::-webkit-scrollbar-button:vertical:end:increment {
background: linear-gradient(310deg, #696969 40%, transparent 41%), linear-gradient(50deg, #696969 40%, transparent 41%), linear-gradient(180deg, #696969 40%, transparent 31%);
background-color: #b6b6b6;
}
::-webkit-scrollbar-button:horizontal:end:increment {
background: linear-gradient(210deg, #696969 40%, transparent 41%), linear-gradient(330deg, #696969 40%, transparent 41%), linear-gradient(90deg, #696969 30%, transparent 31%);
background-color: #b6b6b6;
}
::-webkit-scrollbar-button:horizontal:start:decrement {
background: linear-gradient(30deg, #696969 40%, transparent 41%), linear-gradient(150deg, #696969 40%, transparent 41%), linear-gradient(270deg, #696969 30%, transparent 31%);
background-color: #b6b6b6;
}
::-webkit-scrollbar-button, ::-webkit-scrollbar-track-piece { background-color: #3e4346 !important; }
.swagger-ui .black, .swagger-ui .checkbox, .swagger-ui .dark-gray, .swagger-ui .download-url-wrapper .loading, .swagger-ui .errors-wrapper .errors small, .swagger-ui .fallback, .swagger-ui .filter .loading, .swagger-ui .gray, .swagger-ui .hover-black:focus, .swagger-ui .hover-black:hover, .swagger-ui .hover-dark-gray:focus, .swagger-ui .hover-dark-gray:hover, .swagger-ui .hover-gray:focus, .swagger-ui .hover-gray:hover, .swagger-ui .hover-light-silver:focus, .swagger-ui .hover-light-silver:hover, .swagger-ui .hover-mid-gray:focus, .swagger-ui .hover-mid-gray:hover, .swagger-ui .hover-near-black:focus, .swagger-ui .hover-near-black:hover, .swagger-ui .hover-silver:focus, .swagger-ui .hover-silver:hover, .swagger-ui .light-silver, .swagger-ui .markdown pre, .swagger-ui .mid-gray, .swagger-ui .model .property, .swagger-ui .model .property.primitive, .swagger-ui .model-title, .swagger-ui .near-black, .swagger-ui .parameter__extension, .swagger-ui .parameter__in, .swagger-ui .prop-format, .swagger-ui .renderedmarkdown pre, .swagger-ui .response-col_links .response-undocumented, .swagger-ui .response-col_status .response-undocumented, .swagger-ui .silver, .swagger-ui section.models h4, .swagger-ui section.models h5, .swagger-ui span.token-not-formatted, .swagger-ui span.token-string, .swagger-ui table.headers .header-example, .swagger-ui table.model tr.description, .swagger-ui table.model tr.extension { color: #bfbfbf; }
.swagger-ui .hover-white:focus, .swagger-ui .hover-white:hover, .swagger-ui .info .title small pre, .swagger-ui .topbar a, .swagger-ui .white { color: #fff; }
.swagger-ui .bg-black-10, .swagger-ui .hover-bg-black-10:focus, .swagger-ui .hover-bg-black-10:hover, .swagger-ui .stripe-dark:nth-child(2n + 1) { background-color: rgba(0, 0, 0, .1); }
.swagger-ui .bg-white-10, .swagger-ui .hover-bg-white-10:focus, .swagger-ui .hover-bg-white-10:hover, .swagger-ui .stripe-light:nth-child(2n + 1) { background-color: rgba(28, 28, 33, .1); }
.swagger-ui .bg-light-silver, .swagger-ui .hover-bg-light-silver:focus, .swagger-ui .hover-bg-light-silver:hover, .swagger-ui .striped--light-silver:nth-child(2n + 1) { background-color: #6e6e6e; }
.swagger-ui .bg-moon-gray, .swagger-ui .hover-bg-moon-gray:focus, .swagger-ui .hover-bg-moon-gray:hover, .swagger-ui .striped--moon-gray:nth-child(2n + 1) { background-color: #4d4d4d; }
.swagger-ui .bg-light-gray, .swagger-ui .hover-bg-light-gray:focus, .swagger-ui .hover-bg-light-gray:hover, .swagger-ui .striped--light-gray:nth-child(2n + 1) { background-color: #2b2b2b; }
.swagger-ui .bg-near-white, .swagger-ui .hover-bg-near-white:focus, .swagger-ui .hover-bg-near-white:hover, .swagger-ui .striped--near-white:nth-child(2n + 1) { background-color: #242424; }
.swagger-ui .opblock-tag:hover, .swagger-ui section.models h4:hover { background: rgba(0, 0, 0, .02); }
.swagger-ui .checkbox p, .swagger-ui .dialog-ux .modal-ux-content h4, .swagger-ui .dialog-ux .modal-ux-content p, .swagger-ui .dialog-ux .modal-ux-header h3, .swagger-ui .errors-wrapper .errors h4, .swagger-ui .errors-wrapper hgroup h4, .swagger-ui .info .base-url, .swagger-ui .info .title, .swagger-ui .info h1, .swagger-ui .info h2, .swagger-ui .info h3, .swagger-ui .info h4, .swagger-ui .info h5, .swagger-ui .info li, .swagger-ui .info p, .swagger-ui .info table, .swagger-ui .loading-container .loading::after, .swagger-ui .model, .swagger-ui .opblock .opblock-section-header h4, .swagger-ui .opblock .opblock-section-header > label, .swagger-ui .opblock .opblock-summary-description, .swagger-ui .opblock .opblock-summary-operation-id, .swagger-ui .opblock .opblock-summary-path, .swagger-ui .opblock .opblock-summary-path__deprecated, .swagger-ui .opblock-description-wrapper, .swagger-ui .opblock-description-wrapper h4, .swagger-ui .opblock-description-wrapper p, .swagger-ui .opblock-external-docs-wrapper, .swagger-ui .opblock-external-docs-wrapper h4, .swagger-ui .opblock-external-docs-wrapper p, .swagger-ui .opblock-tag small, .swagger-ui .opblock-title_normal, .swagger-ui .opblock-title_normal h4, .swagger-ui .opblock-title_normal p, .swagger-ui .parameter__name, .swagger-ui .parameter__type, .swagger-ui .response-col_links, .swagger-ui .response-col_status, .swagger-ui .responses-inner h4, .swagger-ui .responses-inner h5, .swagger-ui .scheme-container .schemes > label, .swagger-ui .scopes h2, .swagger-ui .servers > label, .swagger-ui .tab li, .swagger-ui label, .swagger-ui select, .swagger-ui table.headers td { color: #b5bac9; }
.swagger-ui .download-url-wrapper .failed, .swagger-ui .filter .failed, .swagger-ui .model-deprecated-warning, .swagger-ui .parameter__deprecated, .swagger-ui .parameter__name.required span, .swagger-ui table.model tr.property-row .star { color: #e69999; }
.swagger-ui .opblock-body pre.microlight, .swagger-ui textarea.curl {
background: #41444e;
border-radius: 4px;
color: #fff;
}
.swagger-ui .expand-methods svg, .swagger-ui .expand-methods:hover svg { fill: #bfbfbf; }
.swagger-ui .auth-container, .swagger-ui .dialog-ux .modal-ux-header { border-bottom: 1px solid #2e2e2e; }
.swagger-ui .topbar .download-url-wrapper .select-label select, .swagger-ui .topbar .download-url-wrapper input[type=text] { border: 2px solid #63a040; }
.swagger-ui .info a, .swagger-ui .info a:hover, .swagger-ui .scopes h2 a { color: #99bde6; }
/* Dark Scrollbar */
::-webkit-scrollbar {
width: 14px;
height: 14px;
}
::-webkit-scrollbar-button {
background-color: #3e4346 !important;
}
::-webkit-scrollbar-track {
background-color: #646464 !important;
}
::-webkit-scrollbar-track-piece {
background-color: #3e4346 !important;
}
::-webkit-scrollbar-thumb {
height: 50px;
background-color: #242424 !important;
border: 2px solid #3e4346 !important;
}
::-webkit-scrollbar-corner {}
::-webkit-resizer {}
::-webkit-scrollbar-button:vertical:start:decrement {
background:
linear-gradient(130deg, #696969 40%, rgba(255, 0, 0, 0) 41%),
linear-gradient(230deg, #696969 40%, rgba(0, 0, 0, 0) 41%),
linear-gradient(0deg, #696969 40%, rgba(0, 0, 0, 0) 31%);
background-color: #b6b6b6;
}
::-webkit-scrollbar-button:vertical:end:increment {
background:
linear-gradient(310deg, #696969 40%, rgba(0, 0, 0, 0) 41%),
linear-gradient(50deg, #696969 40%, rgba(0, 0, 0, 0) 41%),
linear-gradient(180deg, #696969 40%, rgba(0, 0, 0, 0) 31%);
background-color: #b6b6b6;
}
::-webkit-scrollbar-button:horizontal:end:increment {
background:
linear-gradient(210deg, #696969 40%, rgba(0, 0, 0, 0) 41%),
linear-gradient(330deg, #696969 40%, rgba(0, 0, 0, 0) 41%),
linear-gradient(90deg, #696969 30%, rgba(0, 0, 0, 0) 31%);
background-color: #b6b6b6;
}
::-webkit-scrollbar-button:horizontal:start:decrement {
background:
linear-gradient(30deg, #696969 40%, rgba(0, 0, 0, 0) 41%),
linear-gradient(150deg, #696969 40%, rgba(0, 0, 0, 0) 41%),
linear-gradient(270deg, #696969 30%, rgba(0, 0, 0, 0) 31%);
background-color: #b6b6b6;
}

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static/swagger-ui/index.css vendored Normal file
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@ -0,0 +1,17 @@
/*! Swagger UI 4.13.2 | https://swagger.io/tools/swagger-ui/ | Apache License 2.0 (license file can be found at ./LICENSE) */
html {
box-sizing: border-box;
overflow: -moz-scrollbars-vertical;
overflow-y: scroll;
}
*,
*:before,
*:after {
box-sizing: inherit;
}
body {
margin: 0;
background: #fafafa;
}

79
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@ -0,0 +1,79 @@
<!doctype html>
<html lang="en-US">
<head>
<title>Swagger UI: OAuth2 Redirect</title>
</head>
<body>
<script>
'use strict';
function run () {
var oauth2 = window.opener.swaggerUIRedirectOauth2;
var sentState = oauth2.state;
var redirectUrl = oauth2.redirectUrl;
var isValid, qp, arr;
if (/code|token|error/.test(window.location.hash)) {
qp = window.location.hash.substring(1);
} else {
qp = location.search.substring(1);
}
arr = qp.split("&");
arr.forEach(function (v,i,_arr) { _arr[i] = '"' + v.replace('=', '":"') + '"';});
qp = qp ? JSON.parse('{' + arr.join() + '}',
function (key, value) {
return key === "" ? value : decodeURIComponent(value);
}
) : {};
isValid = qp.state === sentState;
if ((
oauth2.auth.schema.get("flow") === "accessCode" ||
oauth2.auth.schema.get("flow") === "authorizationCode" ||
oauth2.auth.schema.get("flow") === "authorization_code"
) && !oauth2.auth.code) {
if (!isValid) {
oauth2.errCb({
authId: oauth2.auth.name,
source: "auth",
level: "warning",
message: "Authorization may be unsafe, passed state was changed in server. The passed state wasn't returned from auth server."
});
}
if (qp.code) {
delete oauth2.state;
oauth2.auth.code = qp.code;
oauth2.callback({auth: oauth2.auth, redirectUrl: redirectUrl});
} else {
let oauthErrorMsg;
if (qp.error) {
oauthErrorMsg = "["+qp.error+"]: " +
(qp.error_description ? qp.error_description+ ". " : "no accessCode received from the server. ") +
(qp.error_uri ? "More info: "+qp.error_uri : "");
}
oauth2.errCb({
authId: oauth2.auth.name,
source: "auth",
level: "error",
message: oauthErrorMsg || "[Authorization failed]: no accessCode received from the server."
});
}
} else {
oauth2.callback({auth: oauth2.auth, token: qp, isValid: isValid, redirectUrl: redirectUrl});
}
window.close();
}
if (document.readyState !== 'loading') {
run();
} else {
document.addEventListener('DOMContentLoaded', function () {
run();
});
}
</script>
</body>
</html>

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3
static/swagger-ui/swagger-ui.css vendored Normal file

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2
static/swagger-ui/swagger-ui.js vendored Normal file

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View File

@ -9,7 +9,8 @@
<link rel="stylesheet" href="static/bootstrap.min.css">
<link rel="stylesheet" href="static/bootstrap-toggle.min.css">
<link rel="stylesheet" href="static/open-iconic-bootstrap.min.css">
<link rel="stylesheet" href="static/custom.css?ver=1.18.1a">
<link href="static/open-iconic/css/open-iconic.css" rel="stylesheet">
<link rel="stylesheet" href="static/custom.css?ver=1.18.1c">
<script src="static/jquery-3.6.0.min.js"></script>
<script src="static/jquery-ui.sortable.min.js"></script>
@ -17,7 +18,8 @@
<script src="static/bootstrap.min.js"></script>
<script src="static/bootstrap-toggle.min.js"></script>
<script src="static/rangy-core.min.js"></script>
<script src="static/application.js?ver=1.18.1d"></script>
<script src="static/application.js?ver=1.18.1f"></script>
<script src="static/favicon.js"></script>
</head>
<body>
<input type="file" id="remote-save-select" accept="application/json" style="display:none">
@ -33,6 +35,11 @@
</button>
<div class="collapse navbar-collapse" id="navbarNavDropdown">
<ul class="nav navbar-nav">
{% if not hide_ai_menu %}
<li class="nav-item">
<a class="nav-link" href="#" id="btn_loadmodel">AI</a>
</li>
{% endif %}
<li class="nav-item dropdown">
<a class="nav-link dropdown-toggle" href="#" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false">New Game</a>
<div class="dropdown-menu">
@ -86,6 +93,7 @@
</div>
<div id="connectstatusdiv" class="flex-row-container">
<span id="connectstatus" class="color_orange flex-row">Waiting for connection...</span>
<div class="layer-container status-container flex-push-left" style="color: #FFFFFF;" id="runtime"></div>
<div class="layer-container status-container flex-push-right">
<span class="oi oi-puzzle-piece statusicon layer-bottom" aria-hidden="true">
<div class="statustext statustext-wide">
@ -108,6 +116,11 @@
</div>
<div class="row" id="formatmenu">
</div>
<div id="token_prob_menu" class="row hidden">
<div id="token_prob_container"></div>
</div>
<div class="layer-container">
<div class="layer-bottom row" id="gamescreen">
<span id="gametext" contenteditable="true"><p>...</p></span>
@ -141,7 +154,7 @@
<div id="inputrowmode">
<button type="button" class="btn btn-secondary hidden" id="btnmode">Mode:<br/><b id="btnmode_label">Story</b></button>
</div>
<div id="inputrowleft">
<div id="inputrowleft" class="tokens-counted">
<textarea class="form-control" id="input_text" placeholder="Enter text here"></textarea>
</div>
<div id="inputrowright">
@ -154,7 +167,7 @@
<div class="anotelabel no-padding">
Author's Note
</div>
<div class="anotefield">
<div class="anotefield tokens-counted">
<textarea class="form-control" placeholder="Author's Note" id="anoteinput"></textarea>
</div>
</div>
@ -195,7 +208,7 @@
</div>
</div>
<div class="hidden" id="popupcontainer">
<div id="popup">
<div id="popup_old">
<div id="popuptitlebar">
<div id="popuptitletext">Select an Adventure to Import</div>
</div>
@ -252,7 +265,7 @@
</div>
</div>
<div class="popupcontainer hidden" id="loadcontainer">
<div id="loadpopup">
<div class="loadpopup" id="loadpopup">
<div class="popuptitlebar">
<div class="popuptitletext">Select A Story To Load</div>
</div>
@ -268,10 +281,64 @@
</div>
</div>
</div>
<div class="popupcontainer hidden" id="loadmodelcontainer">
<div class="loadpopup">
<div class="popuptitlebar">
<div class="popuptitletext">Select A Model To Load</div>
</div>
<div id="loadmodellistbreadcrumbs">
</div>
<div id="loadmodellistcontent" style="overflow: auto; height: 300px;">
</div>
<div class="popupfooter">
<input class="form-control hidden" type="text" placeholder="Enter the URL of the server (For example a trycloudflare link)" id="modelurl" onchange="check_enable_model_load()">
<input class="form-control hidden" type="text" placeholder="key" id="modelkey" onblur="socket.send({'cmd': 'OAI_Key_Update', 'key': $('#modelkey')[0].value});">
<input class="form-control hidden" type="text" placeholder="Model Path or Hugging Face Name" id="custommodelname" menu="" onblur="socket.send({'cmd': 'selectmodel', 'data': $(this).attr('menu'), 'path_modelname': $('#custommodelname')[0].value});">
</div>
<div class="popupfooter">
<select class="form-control hidden" id="oaimodel"><option value="">Select Model(s)</option></select>
</div>
<div class="popupfooter hidden" id=modellayers>
<div class='settingitem' style="width:100%">
<div class='settinglabel'>
<div class="justifyleft">
GPU/Disk Layers
<span class="helpicon">?
<span class="helptext">Number of layers to assign to GPUs and to disk cache. Remaining layers will be put into CPU RAM.</span>
</span>
</div>
<div class="justifyright" id="gpu_layers_current">0</div>
</div>
<div id=model_layer_bars style="color: white">
</div>
<input type=hidden id='gpu_count' value=0/>
<div class="settingminmax">
<div class="justifyleft">
0
</div>
<div class="justifyright" id="gpu_layers_max">
24
</div>
</div>
</div>
</div>
<div class="popupfooter">
<button type="button" class="btn btn-primary" id="btn_loadmodelaccept">Load</button>
<button type="button" class="btn btn-primary" id="btn_loadmodelclose">Cancel</button>
<div class="box flex-push-right hidden" id=use_gpu_div>
<input type="checkbox" data-toggle="toggle" data-onstyle="success" id="use_gpu" checked>
<div class="box-label">Use GPU</div>
</div>
</div>
</div>
</div>
<div class="popupcontainer hidden" id="spcontainer">
<div id="sppopup">
<div class="popuptitlebar">
<div class="popuptitletext">Select A Soft Prompt To Use</div>
<button class="btn btn-primary" onclick="socket.emit('show_folder_soft_prompt', {});"><span class="oi" style="color: white;" data-glyph="folder"></span></button>
</div>
<div id="splistcontent">
</div>
@ -285,6 +352,7 @@
<div id="uspopup">
<div class="popuptitlebar">
<div class="popuptitletext">Select userscripts to load; drag-and-drop to reorder</div>
<button class="btn btn-primary" onclick="socket.emit('show_folder_usersripts', {});"><span class="oi" style="color: white;" data-glyph="folder"></span></button>
</div>
<div class="usheadergrid">
<div>[AVAILABLE]</div>
@ -367,6 +435,19 @@
</div>
</div>
</div>
<div class="popupcontainer hidden flex" id="showmodelnamecontainer" style="center;">
<div class="loadpopup">
<div class="popuptitlebar" style="width:50% center;">
<div class="popuptitletext">Model Info</div>
</div>
<div id=showmodelnamecontent style="width:50%;">
Model Info Missing
</div>
<div class="popupfooter" style="width:50% center;">
</div>
</div>
</div>
<div class="popupcontainer hidden" id="rndgamecontainer">
<div id="rspopup">
<div class="popuptitlebar">
@ -393,5 +474,26 @@
</div>
</div>
</div>
<!------------- Pop-Up ------------------------------->
<div class="popupcontainer hidden" id="popup">
<div class="new_popup">
<div style="height:100%;">
<div class="title" id="popup_title">
Popup Title
</div>
<div id="popup_breadcrumbs"></div>
<div class="popup_list_area" id="popup_list"></div>
<div class="popup_load_cancel hidden" id="popup_upload">
<input type=file id="popup_upload_file">
</div>
<div style="background-color: black">Drag file(s) above or click here to Upload File<input id="popup_upload_input" type=file onchange="upload_file(this)"></div>
<div class="popup_load_cancel" id="popup_load_cancel">
<button class="btn btn-secondary popup_load_cancel_button" id="popup_accept">Load</button>
<button class="btn btn-primary popup_load_cancel_button" id="popup_cancel" onclick='document.getElementById("popup").classList.add("hidden");'>Cancel</button>
</div>
</div>
</div>
</div>
</body>
</html>

35
templates/swagger-ui.html Normal file
View File

@ -0,0 +1,35 @@
{# This is the HTML template for Swagger UI (the GUI for the API documentation at /api/latest/docs) #}
<!DOCTYPE html>
<html lang="en">
<head>
<title>KoboldAI API</title>
<meta charset="UTF-8">
<link rel="stylesheet" type="text/css" href="/static/swagger-ui/swagger-ui.css" />
<link rel="stylesheet" type="text/css" href="/static/swagger-ui/index.css" />
<script>
if (window.matchMedia && window.matchMedia("(prefers-color-scheme: dark)").matches) document.write('<link rel="stylesheet" type="text/css" href="/static/swagger-ui/SwaggerDark.css" />');
</script>
</head>
<body>
<div id="swagger-ui"></div>
<script src="/static/swagger-ui/swagger-ui-bundle.js" charset="UTF-8"></script>
<script>
window.onload = function() {
window.ui = SwaggerUIBundle({
url: "{{ url }}",
oauth2RedirectUrl: "/static/swagger-ui/oauth2-redirect.html",
dom_id: "#swagger-ui",
deepLinking: true,
defaultModelsExpandDepth: 0, // Causes the "Schemas" section at the bottom to be collapsed by default
presets: [
SwaggerUIBundle.presets.apis
],
plugins: [
SwaggerUIBundle.plugins.DownloadUrl
],
layout: "BaseLayout"
});
};
</script>
</body>
</html>

226
test_aiserver.py Normal file
View File

@ -0,0 +1,226 @@
import pytest, time
import aiserver
#Test Model List:
test_models = [
('EleutherAI/gpt-neo-1.3B', {'key': False, 'gpu': False, 'layer_count': 24, 'breakmodel': True, 'url': False}),
('gpt2', {'key': False, 'gpu': False, 'layer_count': 12, 'breakmodel': True, 'url': False}),
('facebook/opt-350m', {'key': False, 'gpu': False, 'layer_count': 24, 'breakmodel': True, 'url': False})
]
@pytest.fixture
def client_data():
app = aiserver.app
#app.test_client_class = FlaskLoginClient
client_conn = app.test_client()
socketio_client = aiserver.socketio.test_client(app, flask_test_client=client_conn)
#Clear out the connection message
response = socketio_client.get_received()
return (client_conn, app, socketio_client)
def get_model_menu(model):
for menu in aiserver.model_menu:
for item in aiserver.model_menu[menu]:
if item[1] == model:
for main_menu_line in aiserver.model_menu['mainmenu']:
if main_menu_line[1] == menu:
return (menu, main_menu_line, item)
return None
def generate_story_data(client_data):
(client, app, socketio_client) = client_data
socketio_client.emit('message',{'cmd': 'submit', 'allowabort': False, 'actionmode': 0, 'chatname': None, 'data': ''})
#wait until the game state turns back to start
state = 'wait'
new_text = None
start_time = time.time()
timeout = time.time() + 60*1
while state == 'wait':
if time.time() > timeout:
break
responses = socketio_client.get_received()
for response in responses:
response = response['args'][0]
print(response)
if response['cmd'] == 'setgamestate':
state = response['data']
elif response['cmd'] == 'updatechunk' or response['cmd'] == 'genseqs':
new_text = response['data']
time.sleep(0.1)
assert new_text is not None
def test_basic_connection(client_data):
(client, app, socketio_client) = client_data
response = client.get("/")
assert response.status_code == 200
def test_load_story_from_web_ui(client_data):
(client, app, socketio_client) = client_data
#List out the stories and make sure we have the sample story
socketio_client.emit('message',{'cmd': 'loadlistrequest', 'data': ''})
response = socketio_client.get_received()[0]['args'][0]['data']
found_sample_story = False
for story in response:
if story['name'] == 'sample_story':
found_sample_story = True
assert found_sample_story
#Click on the sample story, then click load
socketio_client.emit('message',{'cmd': 'loadselect', 'data': 'sample_story'})
socketio_client.emit('message',{'cmd': 'loadrequest', 'data': ''})
#Wait until we get the data back from the load
loaded_story = False
timeout = time.time() + 60*2
while not loaded_story:
if time.time() > timeout:
break
responses = socketio_client.get_received()
for response in responses:
response = response['args'][0]
if 'cmd' not in response:
print(response)
assert False
if response['cmd'] == 'updatescreen':
loaded_story = True
story_text = response['data']
break
assert loaded_story
#Verify that it's the right story data
assert story_text == '<chunk n="0" id="n0" tabindex="-1">Niko the kobold stalked carefully down the alley, his small scaly figure obscured by a dusky cloak that fluttered lightly in the cold winter breeze. Holding up his tail to keep it from dragging in the dirty snow that covered the cobblestone, he waited patiently for the butcher to turn his attention from his stall so that he could pilfer his next meal: a tender-looking</chunk><chunk n="1" id="n1" tabindex="-1"> chicken. He crouched just slightly as he neared the stall to ensure that no one was watching, not that anyone would be dumb enough to hassle a small kobold. What else was there for a lowly kobold to</chunk><chunk n="2" id="n2" tabindex="-1"> do in a city? All that Niko needed to know was</chunk><chunk n="3" id="n3" tabindex="-1"> where to find the chicken and then how to make off with it.<br/><br/>A soft thud caused Niko to quickly lift his head. Standing behind the stall where the butcher had been cutting his chicken,</chunk>'
@pytest.mark.parametrize("model, expected_load_options", test_models)
def test_load_model_from_web_ui(client_data, model, expected_load_options):
(client, app, socketio_client) = client_data
#Clear out any old messages
response = socketio_client.get_received()
(menu, menu_line, model_line) = get_model_menu(model)
#Send the ai load model menu option
socketio_client.emit('message',{'cmd': 'list_model', 'data': 'mainmenu'})
response = socketio_client.get_received()[0]['args'][0]['data']
assert menu_line in response
#Send the click model menu option
socketio_client.emit('message',{'cmd': 'list_model', 'data': menu, 'pretty_name': ""})
response = socketio_client.get_received()[0]['args'][0]['data']
assert model_line in response
#Click the model
socketio_client.emit('message',{'cmd': 'selectmodel', 'data': model})
response = socketio_client.get_received()[0]['args'][0]
#Check that we're getting the right load options
print(response)
assert response['key'] == expected_load_options['key']
assert response['gpu'] == expected_load_options['gpu']
assert response['layer_count'] == expected_load_options['layer_count']
assert response['breakmodel'] == expected_load_options['breakmodel']
assert response['url'] == expected_load_options['url']
#Now send the load
socketio_client.emit('message',{'cmd': 'load_model', 'use_gpu': True, 'key': '', 'gpu_layers': str(expected_load_options['layer_count']), 'disk_layers': '0', 'url': '', 'online_model': ''})
#wait until the game state turns back to start
state = 'wait'
start_time = time.time()
timeout = time.time() + 60*2
while state == 'wait':
if time.time() > timeout:
break
responses = socketio_client.get_received()
for response in responses:
response = response['args'][0]
if response['cmd'] == 'setgamestate':
state = response['data']
time.sleep(0.1)
#Give it a second to get all of the settings, etc and clear out the messages
responses = socketio_client.get_received()
#check the model info to see if it's loaded
socketio_client.emit('message',{'cmd': 'show_model', 'data': ''})
response = socketio_client.get_received()[0]['args'][0]
assert response == {'cmd': 'show_model_name', 'data': model}
generate_story_data(client_data)
def test_load_GooseAI_from_web_ui(client_data):
pytest.skip("unsupported configuration")
@pytest.mark.parametrize("model, expected_load_options", test_models)
def test_load_model_from_command_line(client_data, model, expected_load_options):
(client, app, socketio_client) = client_data
#Clear out any old messages
response = socketio_client.get_received()
(menu, menu_line, model_line) = get_model_menu(model)
aiserver.general_startup("--model {}".format(model))
aiserver.load_model(initial_load=True)
#check the model info to see if it's loaded
socketio_client.emit('message',{'cmd': 'show_model', 'data': ''})
response = socketio_client.get_received()[0]['args'][0]
assert response == {'cmd': 'show_model_name', 'data': model}
generate_story_data(client_data)
def test_back_redo(client_data):
(client, app, socketio_client) = client_data
#Make sure we have known story in the ui
test_load_story_from_web_ui(client_data)
#Clear out any old messages
response = socketio_client.get_received()
#run a back action
socketio_client.emit('message',{'cmd': 'back', 'data': ''})
response = socketio_client.get_received()[0]['args'][0]
assert response == {'cmd': 'removechunk', 'data': 3}
#Run a redo action
socketio_client.emit('message',{'cmd': 'redo', 'data': ''})
response = socketio_client.get_received()[0]['args'][0]
assert response == {'cmd': 'updatechunk', 'data': {'index': 3, 'html': '<chunk n="3" id="n3" tabindex="-1"> where to find the chicken and then how to make off with it.<br/><br/>A soft thud caused Niko to quickly lift his head. Standing behind the stall where the butcher had been cutting his chicken,</chunk>'}}
#Go all the way back, then all the way forward
socketio_client.emit('message',{'cmd': 'back', 'data': ''})
response = socketio_client.get_received()[0]['args'][0]
assert response == {'cmd': 'removechunk', 'data': 3}
socketio_client.emit('message',{'cmd': 'back', 'data': ''})
response = socketio_client.get_received()[0]['args'][0]
assert response == {'cmd': 'removechunk', 'data': 2}
socketio_client.emit('message',{'cmd': 'back', 'data': ''})
response = socketio_client.get_received()[0]['args'][0]
assert response == {'cmd': 'removechunk', 'data': 1}
socketio_client.emit('message',{'cmd': 'back', 'data': ''})
response = socketio_client.get_received()[0]['args'][0]
assert response == {'cmd': 'errmsg', 'data': 'Cannot delete the prompt.'}
socketio_client.emit('message',{'cmd': 'redo', 'data': ''})
response = socketio_client.get_received()
assert response == [{'name': 'from_server', 'args': [{'cmd': 'updatescreen', 'gamestarted': True, 'data': '<chunk n="0" id="n0" tabindex="-1">Niko the kobold stalked carefully down the alley, his small scaly figure obscured by a dusky cloak that fluttered lightly in the cold winter breeze. Holding up his tail to keep it from dragging in the dirty snow that covered the cobblestone, he waited patiently for the butcher to turn his attention from his stall so that he could pilfer his next meal: a tender-looking</chunk><chunk n="1" id="n1" tabindex="-1"> chicken. He crouched just slightly as he neared the stall to ensure that no one was watching, not that anyone would be dumb enough to hassle a small kobold. What else was there for a lowly kobold to</chunk>'}], 'namespace': '/'},
{'name': 'from_server', 'args': [{'cmd': 'texteffect', 'data': 1}], 'namespace': '/'}]
socketio_client.emit('message',{'cmd': 'redo', 'data': ''})
response = socketio_client.get_received()
assert response == [{'name': 'from_server', 'args': [{'cmd': 'updatechunk', 'data': {'index': 2, 'html': '<chunk n="2" id="n2" tabindex="-1"> do in a city? All that Niko needed to know was</chunk>'}}], 'namespace': '/'},
{'name': 'from_server', 'args': [{'cmd': 'texteffect', 'data': 2}], 'namespace': '/'}]
socketio_client.emit('message',{'cmd': 'redo', 'data': ''})
response = socketio_client.get_received()
assert response == [{'name': 'from_server', 'args': [{'cmd': 'updatechunk', 'data': {'index': 3, 'html': '<chunk n="3" id="n3" tabindex="-1"> where to find the chicken and then how to make off with it.<br/><br/>A soft thud caused Niko to quickly lift his head. Standing behind the stall where the butcher had been cutting his chicken,</chunk>'}}], 'namespace': '/'},
{'name': 'from_server', 'args': [{'cmd': 'texteffect', 'data': 3}], 'namespace': '/'}]

View File

@ -50,6 +50,7 @@ import itertools
import zipfile
import pickle
import torch
import utils
from torch.nn import Module
from typing import Any, Callable, Dict, Optional, Tuple, Union
@ -213,7 +214,7 @@ def _load_from_state_dict(self, state_dict, prefix, local_metadata, strict, miss
@contextlib.contextmanager
def use_lazy_torch_load(enable=True, callback: Optional[Callable] = None, dematerialized_modules=False):
def use_lazy_torch_load(enable=True, callback: Optional[Callable] = None, dematerialized_modules=False, use_accelerate_init_empty_weights=False):
if not enable:
yield False
return
@ -236,24 +237,29 @@ def use_lazy_torch_load(enable=True, callback: Optional[Callable] = None, demate
torch.load = torch_load
if dematerialized_modules:
old_linear_init = torch.nn.Linear.__init__
old_embedding_init = torch.nn.Embedding.__init__
old_layernorm_init = torch.nn.LayerNorm.__init__
if use_accelerate_init_empty_weights and utils.HAS_ACCELERATE:
import accelerate
init_empty_weights = accelerate.init_empty_weights()
init_empty_weights.__enter__()
else:
old_linear_init = torch.nn.Linear.__init__
old_embedding_init = torch.nn.Embedding.__init__
old_layernorm_init = torch.nn.LayerNorm.__init__
def linear_init(self, *args, device=None, **kwargs):
return old_linear_init(self, *args, device="meta", **kwargs)
def linear_init(self, *args, device=None, **kwargs):
return old_linear_init(self, *args, device="meta", **kwargs)
def embedding_init(self, *args, device=None, **kwargs):
return old_embedding_init(self, *args, device="meta", **kwargs)
def embedding_init(self, *args, device=None, **kwargs):
return old_embedding_init(self, *args, device="meta", **kwargs)
def layernorm_init(self, *args, device=None, **kwargs):
return old_layernorm_init(self, *args, device="meta", **kwargs)
def layernorm_init(self, *args, device=None, **kwargs):
return old_layernorm_init(self, *args, device="meta", **kwargs)
torch.nn.Linear.__init__ = linear_init
torch.nn.Embedding.__init__ = embedding_init
torch.nn.LayerNorm.__init__ = layernorm_init
old_load_from_state_dict = torch.nn.Module._load_from_state_dict
torch.nn.Module._load_from_state_dict = _load_from_state_dict
torch.nn.Linear.__init__ = linear_init
torch.nn.Embedding.__init__ = embedding_init
torch.nn.LayerNorm.__init__ = layernorm_init
old_load_from_state_dict = torch.nn.Module._load_from_state_dict
torch.nn.Module._load_from_state_dict = _load_from_state_dict
yield True
@ -262,7 +268,10 @@ def use_lazy_torch_load(enable=True, callback: Optional[Callable] = None, demate
torch._utils._rebuild_tensor = old_rebuild_tensor
torch.load = old_torch_load
if dematerialized_modules:
torch.nn.Linear.__init__ = old_linear_init
torch.nn.Embedding.__init__ = old_embedding_init
torch.nn.LayerNorm.__init__ = old_layernorm_init
torch.nn.Module._load_from_state_dict = old_load_from_state_dict
if use_accelerate_init_empty_weights and utils.HAS_ACCELERATE:
init_empty_weights.__exit__(None, None, None)
else:
torch.nn.Linear.__init__ = old_linear_init
torch.nn.Embedding.__init__ = old_embedding_init
torch.nn.LayerNorm.__init__ = old_layernorm_init
torch.nn.Module._load_from_state_dict = old_load_from_state_dict

View File

@ -46,7 +46,7 @@ from jax.experimental import maps
import jax.numpy as jnp
import numpy as np
import haiku as hk
from transformers import AutoTokenizer, GPT2TokenizerFast, AutoModelForCausalLM, GPTNeoForCausalLM
from transformers import AutoTokenizer, GPT2Tokenizer, AutoModelForCausalLM, GPTNeoForCausalLM
from tokenizers import Tokenizer
from mesh_transformer.checkpoint import read_ckpt_lowmem
from mesh_transformer.transformer_shard import CausalTransformer, CausalTransformerShard, PlaceholderTensor
@ -55,6 +55,22 @@ from mesh_transformer.util import to_bf16
params: Dict[str, Any] = {}
__seed = random.randrange(sys.maxsize)
rng = random.Random(__seed)
def get_rng_seed():
return __seed
def set_rng_seed(seed: int):
global __seed, rng
rng = random.Random(seed)
__seed = seed
return seed
def randomize_rng_seed():
return set_rng_seed(random.randrange(sys.maxsize))
def warper_callback(logits) -> np.array:
raise NotImplementedError("`tpu_mtj_backend.warper_callback()` needs to be defined")
@ -167,7 +183,7 @@ def apply_repetition_penalty_dynamic(logits, tokens, repetition_penalty, generat
logits[tokens] = penalty_logits
return logits
def kobold_sample_dynamic(key, logits, sampler_order: Optional[np.ndarray] = None, top_p=0.9, temp=0.5, top_k=0, tfs=1.0, typical=1.0, top_a=0.0):
def kobold_sample_dynamic(key, logits, rpargs, sampler_order: Optional[np.ndarray] = None, top_p=0.9, temp=0.5, top_k=0, tfs=1.0, typical=1.0, top_a=0.0):
'''
This gets called by generate_loop_fn to apply a series of 6 filters
to the logits (top-k, then top-a, then top-p, then TFS, then typical, then temperature)
@ -303,6 +319,7 @@ def kobold_sample_dynamic(key, logits, sampler_order: Optional[np.ndarray] = Non
if k == 3 and tfs < 1.0: logits = tail_free_filter(logits)
if k == 4 and typical < 1.0: logits = typical_filter(logits)
if k == 5 and temp != 1.0: logits = temp_filter(logits)
if k == 6 and rpargs[1] != 1.0: logits = apply_repetition_penalty_dynamic(logits, *rpargs)
# Finally, pick one token using the softmax thingy again (it gives
# an array whose elements sum to 1 so it can be used nicely as a
# probability distribution)
@ -353,7 +370,7 @@ def apply_repetition_penalty_static(logits, tokens, repetition_penalty, generate
# positions in the logits array
return logits.at[tokens].set(penalty_logits)
def kobold_sample_static(key, logits, sampler_order: Optional[np.ndarray] = None, top_p=0.9, temp=0.5, top_k=0, tfs=1.0, typical=1.0, top_a=0.0):
def kobold_sample_static(key, logits, rpargs, sampler_order: Optional[np.ndarray] = None, top_p=0.9, temp=0.5, top_k=0, tfs=1.0, typical=1.0, top_a=0.0):
'''
This gets called by generate_loop_fn to apply a series of 6 filters
to the logits (top-k, then top-a, then top-p, then TFS, then typical, then temperature)
@ -488,6 +505,7 @@ def kobold_sample_static(key, logits, sampler_order: Optional[np.ndarray] = None
logits = jax.lax.cond(jnp.logical_and(k == 3, tfs < 1.0), tail_free_filter, lambda x: x, logits)
logits = jax.lax.cond(jnp.logical_and(k == 4, typical < 1.0), typical_filter, lambda x: x, logits)
logits = jax.lax.cond(jnp.logical_and(k == 5, temp != 1.0), temp_filter, lambda x: x, logits)
logits = jax.lax.cond(jnp.logical_and(k == 6, rpargs[1] != 1.0), lambda x: apply_repetition_penalty_static(*x), lambda x: x[0], (logits, *rpargs))
# Finally, pick one token using the softmax thingy again (it gives
# an array whose elements sum to 1 so it can be used nicely as a
# probability distribution)
@ -504,17 +522,6 @@ def sample_func(data, key, numseqs_aux, badwords, repetition_penalty, generated_
# Get the pseudo-random number generator key that will
# be used by kobold_sample_dynamic to randomly pick a token
sample_key, new_key = jax.random.split(sample_key, num=2)
# Apply repetition penalty to all tokens that are
# currently inside the "generated" array
logits = apply_repetition_penalty_dynamic(
logits,
generated,
repetition_penalty,
generated_index,
gen_length,
rpslope,
rprange,
)
# Remove any tokens in the badwords list by setting
# their logits to negative infinity which effectively
# makes their probabilities of being chosen zero
@ -526,6 +533,14 @@ def sample_func(data, key, numseqs_aux, badwords, repetition_penalty, generated_
next_token = kobold_sample_dynamic(
sample_key,
logits,
(
generated,
repetition_penalty,
generated_index,
gen_length,
rpslope,
rprange,
),
**sampler_options,
)
# Remember what token was picked
@ -597,18 +612,6 @@ class PenalizingCausalTransformer(CausalTransformer):
assert logits.shape == (1, config["n_vocab"])
# Flatten it into a 1D array to make it easier to use
logits = logits[0]
# Apply repetition penalty to all tokens that are
# currently inside the "generated" array
if repetition_penalty is not None:
logits = apply_repetition_penalty_static(
logits,
generated,
repetition_penalty,
generated_index,
gen_length,
rpslope,
rprange,
)
# Remove any tokens in the badwords list by setting
# their logits to negative infinity which effectively
# makes their probabilities of being chosen zero
@ -620,6 +623,14 @@ class PenalizingCausalTransformer(CausalTransformer):
next_token = kobold_sample_static(
sample_key,
logits,
(
generated,
repetition_penalty,
generated_index,
gen_length,
rpslope,
rprange,
),
**sampler_options,
)
# Remember what token was picked
@ -735,7 +746,7 @@ class PenalizingCausalTransformer(CausalTransformer):
assert not return_logits
assert gen_length.ndim == 1
assert soft_embeddings is not None
key = hk.PRNGSequence(random.randint(0, 2 ** 60))
key = hk.PRNGSequence(rng.randint(0, 2 ** 60))
batch_size = ctx.shape[0]
self.batch_size = batch_size
_numseqs_aux = jnp.empty((batch_size, numseqs), dtype=np.uint32)
@ -783,7 +794,7 @@ class PenalizingCausalTransformer(CausalTransformer):
return sample_data, n_generated, regeneration_required, halt
def generate_static(self, ctx, ctx_length, gen_length, numseqs, sampler_options, return_logits=False, soft_embeddings=None):
assert not return_logits
key = hk.PRNGSequence(random.randint(0, 2 ** 60))
key = hk.PRNGSequence(rng.randint(0, 2 ** 60))
batch_size = ctx.shape[0]
self.batch_size = batch_size
started_compiling_callback()
@ -854,6 +865,9 @@ def infer_static(
maps.thread_resources.env = thread_resources_env
if sampler_order is None:
sampler_order = utils.default_sampler_order.copy()
sampler_order = sampler_order[:]
if len(sampler_order) < 7: # Add repetition penalty at beginning if it's not present
sampler_order = [6] + sampler_order
sampler_order = np.uint32(sampler_order)
total_batch = 1
tokens = context
@ -1025,7 +1039,12 @@ def read_neox_checkpoint(state, path, config, checkpoint_shards=2):
def load_model(path: str, driver_version="tpu_driver0.1_dev20210607", hf_checkpoint=False, **kwargs) -> None:
global thread_resources_env, seq, tokenizer, network, params
global thread_resources_env, seq, tokenizer, network, params, pad_token_id
if "pad_token_id" in kwargs:
pad_token_id = kwargs["pad_token_id"]
elif "eos_token_id" in kwargs:
pad_token_id = kwargs["eos_token_id"]
if not hasattr(vars, "sampler_order") or not vars.sampler_order:
vars.sampler_order = utils.default_sampler_order.copy()
@ -1042,7 +1061,7 @@ def load_model(path: str, driver_version="tpu_driver0.1_dev20210607", hf_checkpo
"pe_rotary_dims": 64,
"seq": 2048,
"cores_per_replica": 8,
"tokenizer_class": "GPT2TokenizerFast",
"tokenizer_class": "GPT2Tokenizer",
"tokenizer": "gpt2",
}
params = kwargs
@ -1060,7 +1079,7 @@ def load_model(path: str, driver_version="tpu_driver0.1_dev20210607", hf_checkpo
"pe_rotary_dims": 24,
"seq": 2048,
"cores_per_replica": 8,
"tokenizer_class": "GPT2TokenizerFast",
"tokenizer_class": "GPT2Tokenizer",
"tokenizer": "gpt2",
}
@ -1331,49 +1350,46 @@ def load_model(path: str, driver_version="tpu_driver0.1_dev20210607", hf_checkpo
print("\n", flush=True)
with torch_lazy_loader.use_lazy_torch_load(callback=callback, dematerialized_modules=True):
if(os.path.isdir(vars.custmodpth)):
try:
tokenizer = AutoTokenizer.from_pretrained(vars.custmodpth, revision=vars.revision, cache_dir="cache")
except Exception as e:
pass
try:
tokenizer = AutoTokenizer.from_pretrained(vars.custmodpth, revision=vars.revision, cache_dir="cache", use_fast=False)
except Exception as e:
try:
tokenizer = GPT2TokenizerFast.from_pretrained(vars.custmodpth, revision=vars.revision, cache_dir="cache")
tokenizer = AutoTokenizer.from_pretrained(vars.custmodpth, revision=vars.revision, cache_dir="cache")
except Exception as e:
tokenizer = GPT2TokenizerFast.from_pretrained("gpt2", revision=vars.revision, cache_dir="cache")
try:
tokenizer = GPT2Tokenizer.from_pretrained(vars.custmodpth, revision=vars.revision, cache_dir="cache")
except Exception as e:
tokenizer = GPT2Tokenizer.from_pretrained("gpt2", revision=vars.revision, cache_dir="cache")
try:
model = AutoModelForCausalLM.from_pretrained(vars.custmodpth, revision=vars.revision, cache_dir="cache")
except Exception as e:
model = GPTNeoForCausalLM.from_pretrained(vars.custmodpth, revision=vars.revision, cache_dir="cache")
elif(os.path.isdir("models/{}".format(vars.model.replace('/', '_')))):
try:
tokenizer = AutoTokenizer.from_pretrained("models/{}".format(vars.model.replace('/', '_')), revision=vars.revision, cache_dir="cache")
except Exception as e:
pass
try:
tokenizer = AutoTokenizer.from_pretrained("models/{}".format(vars.model.replace('/', '_')), revision=vars.revision, cache_dir="cache", use_fast=False)
except Exception as e:
try:
tokenizer = GPT2TokenizerFast.from_pretrained("models/{}".format(vars.model.replace('/', '_')), revision=vars.revision, cache_dir="cache")
tokenizer = AutoTokenizer.from_pretrained("models/{}".format(vars.model.replace('/', '_')), revision=vars.revision, cache_dir="cache")
except Exception as e:
tokenizer = GPT2TokenizerFast.from_pretrained("gpt2", revision=vars.revision, cache_dir="cache")
try:
tokenizer = GPT2Tokenizer.from_pretrained("models/{}".format(vars.model.replace('/', '_')), revision=vars.revision, cache_dir="cache")
except Exception as e:
tokenizer = GPT2Tokenizer.from_pretrained("gpt2", revision=vars.revision, cache_dir="cache")
try:
model = AutoModelForCausalLM.from_pretrained("models/{}".format(vars.model.replace('/', '_')), revision=vars.revision, cache_dir="cache")
except Exception as e:
model = GPTNeoForCausalLM.from_pretrained("models/{}".format(vars.model.replace('/', '_')), revision=vars.revision, cache_dir="cache")
else:
try:
tokenizer = AutoTokenizer.from_pretrained(vars.model, revision=vars.revision, cache_dir="cache")
except Exception as e:
pass
try:
tokenizer = AutoTokenizer.from_pretrained(vars.model, revision=vars.revision, cache_dir="cache", use_fast=False)
except Exception as e:
try:
tokenizer = GPT2TokenizerFast.from_pretrained(vars.model, revision=vars.revision, cache_dir="cache")
tokenizer = AutoTokenizer.from_pretrained(vars.model, revision=vars.revision, cache_dir="cache")
except Exception as e:
tokenizer = GPT2TokenizerFast.from_pretrained("gpt2", revision=vars.revision, cache_dir="cache")
try:
tokenizer = GPT2Tokenizer.from_pretrained(vars.model, revision=vars.revision, cache_dir="cache")
except Exception as e:
tokenizer = GPT2Tokenizer.from_pretrained("gpt2", revision=vars.revision, cache_dir="cache")
try:
model = AutoModelForCausalLM.from_pretrained(vars.model, revision=vars.revision, cache_dir="cache")
except Exception as e:

View File

@ -8,6 +8,9 @@ from urllib.error import HTTPError
import requests
import requests.adapters
import time
from transformers import __version__ as transformers_version
from transformers import PreTrainedModel
import packaging.version
from tqdm.auto import tqdm
import os
import itertools
@ -15,7 +18,13 @@ import hashlib
import huggingface_hub
import packaging.version
from pathlib import Path
from typing import Optional
from typing import List, Optional
HAS_ACCELERATE = packaging.version.parse(transformers_version) >= packaging.version.parse("4.20.0.dev0")
try:
import accelerate
except ImportError:
HAS_ACCELERATE = False
vars = None
num_shards: Optional[int] = None
@ -25,7 +34,11 @@ from_pretrained_index_filename: Optional[str] = None
from_pretrained_kwargs = {}
bar = None
default_sampler_order = [0, 1, 2, 3, 4, 5]
layers_module_names: Optional[List[str]] = None
module_names: Optional[List[str]] = None
named_buffers: Optional[List[tuple]] = None
default_sampler_order = [6, 0, 1, 2, 3, 4, 5]
#==================================================================#
# Decorator to prevent a function's actions from being run until
@ -111,7 +124,7 @@ def addsentencespacing(txt, vars):
else:
action = vars.prompt
lastchar = action[-1] if len(action) else ""
if(lastchar == "." or lastchar == "!" or lastchar == "?" or lastchar == "," or lastchar == ";" or lastchar == ":"):
if(lastchar != " "):
txt = " " + txt
return txt
@ -159,12 +172,31 @@ def decodenewlines(txt):
# Returns number of layers given an HF model config
#==================================================================#
def num_layers(config):
return config.num_layers if hasattr(config, "num_layers") else config.n_layer if hasattr(config, "n_layer") else config.num_hidden_layers
return config["n_layer"] if isinstance(config, dict) else config.num_layers if hasattr(config, "num_layers") else config.n_layer if hasattr(config, "n_layer") else config.num_hidden_layers if hasattr(config, 'num_hidden_layers') else None
#==================================================================#
# Downloads huggingface checkpoints using aria2c if possible
#==================================================================#
from flask_socketio import emit
def _download_with_aria2(aria2_config: str, total_length: int, directory: str = ".", user_agent=None, force_download=False, use_auth_token=None):
class Send_to_socketio(object):
def write(self, bar):
bar = bar.replace("\r", "").replace("\n", "")
if bar != "":
try:
print('\r' + bar, end='')
try:
emit('from_server', {'cmd': 'model_load_status', 'data': bar.replace(" ", "&nbsp;")}, broadcast=True)
except:
pass
eventlet.sleep(seconds=0)
except:
pass
def flush(self):
pass
import transformers
lengths = {}
s = requests.Session()
@ -188,7 +220,7 @@ def _download_with_aria2(aria2_config: str, total_length: int, directory: str =
done = True
break
if bar is None:
bar = tqdm(total=total_length, desc=f"[aria2] Downloading model", unit="B", unit_scale=True, unit_divisor=1000)
bar = tqdm(total=total_length, desc=f"[aria2] Downloading model", unit="B", unit_scale=True, unit_divisor=1000, file=Send_to_socketio())
visited = set()
for x in r:
filename = x["files"][0]["path"]
@ -406,7 +438,7 @@ def _transformers22_aria2_hook(pretrained_model_name_or_path: str, force_downloa
headers = [requests.head(u, headers=headers, allow_redirects=True, proxies=proxies, timeout=10).headers for u in urls]
for n in filenames:
prefix, suffix = n.rsplit("/", 1)
prefix, suffix = n.rsplit(os.sep, 1)
path = os.path.join(prefix, "kai-tempfile." + suffix + ".aria2")
if os.path.exists(path):
os.remove(path)
@ -414,10 +446,10 @@ def _transformers22_aria2_hook(pretrained_model_name_or_path: str, force_downloa
if os.path.exists(path):
os.remove(path)
total_length = sum(int(h["Content-Length"]) for h in headers)
aria2_config = "\n".join(f"{u}\n out={os.path.join(prefix, 'kai-tempfile.' + suffix)}" for u, n in zip(urls, filenames) for prefix, suffix in [n.rsplit("/", 1)]).encode()
aria2_config = "\n".join(f"{u}\n out={os.path.join(prefix, 'kai-tempfile.' + suffix)}" for u, n in zip(urls, filenames) for prefix, suffix in [n.rsplit(os.sep, 1)]).encode()
_download_with_aria2(aria2_config, total_length, use_auth_token=token if use_auth_token else None, user_agent=user_agent, force_download=force_download)
for u, n in zip(urls, filenames):
prefix, suffix = n.rsplit("/", 1)
prefix, suffix = n.rsplit(os.sep, 1)
os.rename(os.path.join(prefix, "kai-tempfile." + suffix), os.path.join(prefix, suffix))
def aria2_hook(pretrained_model_name_or_path: str, force_download=False, cache_dir=None, proxies=None, resume_download=False, local_files_only=False, use_auth_token=None, user_agent=None, revision=None, **kwargs):
@ -521,3 +553,53 @@ def get_sharded_checkpoint_num_tensors(pretrained_model_name_or_path, filename,
import torch
shard_paths, _ = transformers.modeling_utils.get_checkpoint_shard_files(pretrained_model_name_or_path, filename, cache_dir=cache_dir, force_download=force_download, proxies=proxies, resume_download=resume_download, local_files_only=local_files_only, use_auth_token=use_auth_token, user_agent=user_agent, revision=revision)
return list(itertools.chain(*(torch.load(p, map_location="cpu").keys() for p in shard_paths)))
#==================================================================#
# Given a PreTrainedModel, returns the list of module names that correspond
# to the model's hidden layers.
#==================================================================#
def get_layers_module_names(model: PreTrainedModel) -> List[str]:
names: List[str] = []
def recurse(module, head=""):
for c in module.named_children():
name = head + c[0]
if c[0].isnumeric() and any(c[1].__class__.__name__.endswith(suffix) for suffix in ("Block", "Layer")):
names.append(name)
else:
recurse(c[1], head=name + ".")
recurse(model)
return names
#==================================================================#
# Given a PreTrainedModel, returns the module name that corresponds
# to the model's input embeddings.
#==================================================================#
def get_input_embeddings_module_name(model: PreTrainedModel) -> str:
embeddings = model.get_input_embeddings()
def recurse(module, head=""):
for c in module.named_children():
name = head + c[0]
if c[1] is embeddings:
return name
else:
return recurse(c[1], head=name + ".")
return recurse(model)
#==================================================================#
# Given a PreTrainedModel and a list of module names, returns a list
# of module names such that the union of the set of modules given as input
# and the set of modules returned as output contains all modules in the model.
#==================================================================#
def get_missing_module_names(model: PreTrainedModel, names: List[str]) -> List[str]:
missing_names: List[str] = []
def recurse(module, head=""):
for c in module.named_children():
name = head + c[0]
if any(name.startswith(n) for n in names):
continue
if next(c[1].named_children(), None) is None:
missing_names.append(name)
else:
recurse(c[1], head=name + ".")
recurse(model)
return missing_names

View File

@ -28,10 +28,10 @@ SOFTWARE.
'''
import torch
from transformers import LogitsWarper, LogitsProcessor
from transformers import LogitsWarper
class AdvancedRepetitionPenaltyLogitsProcessor(LogitsProcessor):
class AdvancedRepetitionPenaltyLogitsProcessor(LogitsWarper):
def __init__(self, *args, **kwargs):
pass