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wavetoken-libero-tokenizer

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Upload FAST tokenizer trained on lerobot/libero_video

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  1. README.md +199 -0
  2. processing_action_tokenizer.py +263 -0
  3. processor_config.json +12 -0
  4. special_tokens_map.json +1 -0
  5. tokenizer.json +4863 -0
  6. tokenizer_config.json +11 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ [More Information Needed]
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+
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [More Information Needed]
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+
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+ ## Citation [optional]
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+
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed]
processing_action_tokenizer.py ADDED
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1
+ import logging
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+ from typing import ClassVar, List, Optional
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+
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+ import numpy as np
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+ import pywt
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+ from tokenizers import ByteLevelBPETokenizer
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+ from tokenizers.trainers import BpeTrainer
8
+ from transformers import PreTrainedTokenizerFast
9
+ from transformers.processing_utils import ProcessorMixin
10
+
11
+
12
+ class WaveletActionProcessor(ProcessorMixin):
13
+ attributes: ClassVar[list[str]] = ["bpe_tokenizer"]
14
+ bpe_tokenizer_class: str = "AutoTokenizer"
15
+
16
+ def __init__(
17
+ self,
18
+ bpe_tokenizer: PreTrainedTokenizerFast,
19
+ wavelet: str = "db1",
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+ level: int = 2,
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+ scale: float = 10.0,
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+ min_token: int = 0,
23
+ *,
24
+ action_dim: Optional[int] = None,
25
+ time_horizon: Optional[int] = None,
26
+ ):
27
+ self.wavelet = wavelet
28
+ self.level = level
29
+ self.scale = scale
30
+ self.min_token = int(min_token)
31
+
32
+ # Used for decode (same logic as FAST)
33
+ self.time_horizon = time_horizon
34
+ self.action_dim = action_dim
35
+ self.called_time_horizon = time_horizon
36
+ self.called_action_dim = action_dim
37
+
38
+ # Cache wavelet coefficient layout needed for decoding
39
+ # We keep one slice-structure per dimension (they are typically identical for fixed T/wavelet/level)
40
+ self._coeff_slices_per_dim = None # list of slice dicts
41
+ self._n_coeff = None # number of wavelet coeffs per dim after coeffs_to_array
42
+
43
+ super().__init__(bpe_tokenizer)
44
+
45
+ def _ensure_coeff_layout(self, T: int, D: int):
46
+ """Cache coeff slices and coeff vector length for given (T, wavelet, level)."""
47
+ if (
48
+ self._coeff_slices_per_dim is not None
49
+ and self._n_coeff is not None
50
+ and self.called_time_horizon == T
51
+ and self.called_action_dim == D
52
+ ):
53
+ return
54
+
55
+ dummy = np.zeros(T, dtype=np.float32)
56
+
57
+ slices_per_dim = []
58
+ n_coeff = None
59
+ for _ in range(D):
60
+ coeffs = pywt.wavedec(dummy, self.wavelet, level=self.level)
61
+ arr, slc = pywt.coeffs_to_array(coeffs)
62
+ slices_per_dim.append(slc)
63
+ if n_coeff is None:
64
+ n_coeff = int(arr.shape[0])
65
+
66
+ self._coeff_slices_per_dim = slices_per_dim
67
+ self._n_coeff = n_coeff
68
+
69
+ def __call__(self, action_chunk: np.ndarray) -> List[List[int]]:
70
+ """
71
+ Encode actions to BPE tokens.
72
+
73
+ action_chunk: (T,D) or (B,T,D)
74
+ returns: List[List[int]] (batch of token id lists)
75
+ """
76
+ assert action_chunk.ndim <= 3, "Only 3 dimensions supported: [batch, timesteps, action_dim]"
77
+ if action_chunk.ndim == 2:
78
+ action_chunk = action_chunk[None, ...]
79
+
80
+ B, T, D = action_chunk.shape
81
+
82
+ # cache for decoding
83
+ self.called_time_horizon, self.called_action_dim = T, D
84
+ self._ensure_coeff_layout(T, D)
85
+
86
+ batch_tokens: List[List[int]] = []
87
+ for i in range(B):
88
+ # wavelet per dim -> flattened coeffs of length (n_coeff * D)
89
+ coeffs_by_dim = []
90
+ for d in range(D):
91
+ coeffs = pywt.wavedec(action_chunk[i, :, d], self.wavelet, level=self.level)
92
+ flat, _ = pywt.coeffs_to_array(coeffs) # shape (n_coeff,)
93
+ coeffs_by_dim.append(flat)
94
+
95
+ coeff_mat = np.stack(coeffs_by_dim, axis=1) # (n_coeff, D)
96
+ flat_all = coeff_mat.reshape(-1) # (n_coeff * D,)
97
+
98
+ quant = np.around(flat_all * self.scale).astype(int)
99
+
100
+ shifted = (quant - self.min_token).astype(int)
101
+
102
+ # Optional safety check (unicode range). Keep it simple:
103
+ if shifted.min() < 0:
104
+ # This means min_token was not low enough for these coeffs.
105
+ raise ValueError(
106
+ f"Shifted tokens became negative (min={shifted.min()}). "
107
+ f"Your min_token={self.min_token} is too high. Re-fit or lower min_token."
108
+ )
109
+ if shifted.max() > 0x10FFFF:
110
+ raise ValueError(
111
+ f"Shifted tokens exceed Unicode max (max={shifted.max()}). "
112
+ f"Reduce scale or re-fit min/max range."
113
+ )
114
+
115
+ token_str = "".join(chr(int(x)) for x in shifted)
116
+ batch_tokens.append(self.bpe_tokenizer(token_str)["input_ids"])
117
+
118
+ return batch_tokens
119
+
120
+ def decode(
121
+ self,
122
+ tokens: List[List[int]],
123
+ *,
124
+ time_horizon: Optional[int] = None,
125
+ action_dim: Optional[int] = None,
126
+ ) -> np.ndarray:
127
+ """
128
+ Decode BPE tokens back to actions.
129
+
130
+ tokens: List[List[int]] (batch)
131
+ returns: (B, T, D)
132
+ """
133
+ T = time_horizon or self.time_horizon or self.called_time_horizon
134
+ D = action_dim or self.action_dim or self.called_action_dim
135
+
136
+ assert T is not None and D is not None, (
137
+ "Tokenizer not initialized: call encode() once or pass time_horizon and action_dim."
138
+ )
139
+
140
+ # cache for next call + ensure layout
141
+ self.time_horizon, self.action_dim = T, D
142
+ self.called_time_horizon, self.called_action_dim = T, D
143
+ self._ensure_coeff_layout(T, D)
144
+
145
+ decoded_actions = []
146
+ for tok_list in tokens:
147
+ # decode to string of chars
148
+ s = self.bpe_tokenizer.decode(tok_list, clean_up_tokenization_spaces=False)
149
+
150
+ ints = np.array([ord(c) for c in s], dtype=np.int64)
151
+
152
+ # unshift + dequantize
153
+ quant = ints + self.min_token
154
+ flat_coeffs = quant.astype(np.float32) / self.scale # (n_coeff * D,)
155
+
156
+ # reshape to (n_coeff, D)
157
+ expected = self._n_coeff * D
158
+ if flat_coeffs.shape[0] != expected:
159
+ raise ValueError(
160
+ f"Decoded coeff length mismatch: got {flat_coeffs.shape[0]}, expected {expected}. "
161
+ f"(T={T}, D={D}, n_coeff={self._n_coeff}). "
162
+ "This usually means you decoded with different T/D than encoding."
163
+ )
164
+
165
+ coeff_mat = flat_coeffs.reshape(self._n_coeff, D)
166
+
167
+ # inverse wavelet per dimension
168
+ recon = np.zeros((T, D), dtype=np.float32)
169
+ for d in range(D):
170
+ arr = coeff_mat[:, d]
171
+ coeff_list = pywt.array_to_coeffs(
172
+ arr,
173
+ self._coeff_slices_per_dim[d],
174
+ output_format="wavedec",
175
+ )
176
+ sig = pywt.waverec(coeff_list, self.wavelet)
177
+ recon[:, d] = sig[:T] # waverec can return a bit longer due to padding
178
+
179
+ decoded_actions.append(recon)
180
+
181
+ return np.stack(decoded_actions, axis=0)
182
+
183
+ @classmethod
184
+ def fit(
185
+ cls,
186
+ action_data: List[np.ndarray], # each (T,D)
187
+ wavelet: str = "db1",
188
+ level: int = 2,
189
+ scale: float = 10.0,
190
+ vocab_size: int = 1024,
191
+ *,
192
+ time_horizon: Optional[int] = None,
193
+ action_dim: Optional[int] = None,
194
+ ) -> "WaveletActionProcessor":
195
+ """
196
+ Fit BPE tokenizer on wavelet-quantized coefficient streams.
197
+ """
198
+
199
+ # Compute quantized coefficient streams to estimate min/max token range
200
+ all_streams = []
201
+ for a in action_data:
202
+ assert a.ndim == 2, "Each item must be (T,D)"
203
+ T, D = a.shape
204
+ # wavelet per dim -> flatten (n_coeff * D)
205
+ coeffs_by_dim = []
206
+ for d in range(D):
207
+ coeffs = pywt.wavedec(a[:, d], wavelet, level=level)
208
+ flat, _ = pywt.coeffs_to_array(coeffs)
209
+ coeffs_by_dim.append(flat)
210
+ coeff_mat = np.stack(coeffs_by_dim, axis=1)
211
+ stream = np.around(coeff_mat.reshape(-1) * scale).astype(int)
212
+ all_streams.append(stream)
213
+
214
+ all_vals = np.concatenate(all_streams)
215
+ min_token = int(all_vals.min())
216
+ max_token = int(all_vals.max())
217
+
218
+ token_range = max_token - min_token + 1
219
+ if token_range > vocab_size:
220
+ raise ValueError(
221
+ f"Vocab size {vocab_size} too small for token range {token_range}. "
222
+ "Increase vocab_size or reduce scale."
223
+ )
224
+ if token_range + 100 > vocab_size:
225
+ logging.warning(
226
+ f"Initial alphabet size {token_range} is close to vocab_size {vocab_size}. "
227
+ "Consider increasing vocab_size for better BPE merges."
228
+ )
229
+
230
+ def _token_iter():
231
+ for stream in all_streams:
232
+ shifted = (stream - min_token).astype(int)
233
+ # no clamp; must be >=0
234
+ yield "".join(chr(int(x)) for x in shifted)
235
+
236
+ # Train BPE
237
+ bpe = ByteLevelBPETokenizer()
238
+ alphabet = [chr(i) for i in range(token_range)]
239
+ trainer = BpeTrainer(
240
+ vocab_size=vocab_size,
241
+ min_frequency=2,
242
+ show_progress=True,
243
+ special_tokens=[],
244
+ initial_alphabet=alphabet,
245
+ max_token_length=10000,
246
+ )
247
+ bpe._tokenizer.train_from_iterator(_token_iter(), trainer=trainer)
248
+
249
+ # infer T/D defaults if not provided
250
+ if time_horizon is None:
251
+ time_horizon = int(action_data[0].shape[0])
252
+ if action_dim is None:
253
+ action_dim = int(action_data[0].shape[1])
254
+
255
+ return cls(
256
+ PreTrainedTokenizerFast(tokenizer_object=bpe, clean_up_tokenization_spaces=False),
257
+ wavelet=wavelet,
258
+ level=level,
259
+ scale=scale,
260
+ min_token=min_token,
261
+ time_horizon=time_horizon,
262
+ action_dim=action_dim,
263
+ )
processor_config.json ADDED
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+ {
2
+ "action_dim": 6,
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+ "auto_map": {
4
+ "AutoProcessor": "processing_action_tokenizer.WaveletActionProcessor"
5
+ },
6
+ "level": 2,
7
+ "min_token": -20,
8
+ "processor_class": "WaveletActionProcessor",
9
+ "scale": 10.0,
10
+ "time_horizon": 10,
11
+ "wavelet": "db1"
12
+ }
special_tokens_map.json ADDED
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1
+ {}
tokenizer.json ADDED
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1058
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ": 1023
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1062
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1063
+ "Ĕ"
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1066
+ "ĔĔ",
1067
+ "ĔĔ"
1068
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1070
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1071
+ "ĔĔĔĔ"
1072
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1074
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1075
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1076
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1077
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1078
+ "Ĕ",
1079
+ "ĕ"
1080
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1082
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1083
+ "ĔĔĔĔĔĔĔĔ"
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1085
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1086
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1087
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1088
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1089
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1090
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1091
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1092
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1093
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1094
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1095
+ "Ĕē"
1096
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1098
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1099
+ "Ĕĕ"
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1101
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1102
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1103
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1104
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1105
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1106
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1108
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1110
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1111
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1112
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1113
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1114
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1115
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1116
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1117
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1118
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1122
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1123
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1124
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1126
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1127
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1128
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1129
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1130
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1131
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1132
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1133
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1134
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1135
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1136
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1137
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1138
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1139
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1140
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1141
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1142
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1143
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1144
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1145
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1146
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1147
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1148
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1150
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1151
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1152
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1153
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1154
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1155
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1156
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1157
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1158
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1159
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1160
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1162
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1163
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1164
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1165
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1166
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1167
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1168
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1169
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1170
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1171
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1172
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1173
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1174
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1175
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1176
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1177
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1178
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1179
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1180
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1181
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1182
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1183
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1184
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1185
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1186
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1187
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1188
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1190
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1191
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1192
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1193
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1194
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1195
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1196
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1198
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1199
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1200
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1201
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1202
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1203
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1204
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1205
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1206
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1207
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1208
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1210
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1211
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1212
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1213
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1214
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1215
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1216
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1217
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1218
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1219
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1220
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1221
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1222
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1223
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1224
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1225
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1226
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1227
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1228
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1229
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1230
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1231
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1232
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1233
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1234
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1235
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1236
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1237
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1238
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1239
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1240
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1241
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1242
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1243
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1244
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1246
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1247
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1248
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1250
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1251
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1254
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1255
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1256
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1258
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1259
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1260
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1261
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1262
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1263
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1264
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1265
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1266
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1267
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1268
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1269
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1270
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1271
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1272
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1273
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1274
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1275
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1276
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1277
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1278
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1279
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1280
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1281
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1282
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1283
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1284
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1285
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1286
+ "ĔĔ",
1287
+ "ĔĖ"
1288
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1290
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1291
+ "ė"
1292
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1293
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1294
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1295
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1298
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1299
+ "Ĕē"
1300
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1301
+ [
1302
+ "Đ",
1303
+ "Ē"
1304
+ ],
1305
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1306
+ "ĔĔĔĔ",
1307
+ "Ĕ"
1308
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1309
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1310
+ "ĔĔ",
1311
+ "ĔĒ"
1312
+ ],
1313
+ [
1314
+ "ĔĔĔĔ",
1315
+ "ĔĔĔ"
1316
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1317
+ [
1318
+ "ĔĔĔĔĔĔĔĔ",
1319
+ "Ĕĕ"
1320
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1321
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1322
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1323
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1324
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1325
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1326
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1327
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1328
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1329
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1330
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1331
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1332
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1333
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1334
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1335
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1336
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1337
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1338
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1339
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1340
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1341
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1342
+ "(",
1343
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1344
+ ],
1345
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1346
+ "ĔĔĔĔĔĔĔĔ",
1347
+ "ĔĔĔĕ"
1348
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1349
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1350
+ "ē",
1351
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1352
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1353
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1354
+ "Ė",
1355
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1356
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1357
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1358
+ "ĕ",
1359
+ "ĔĔĔĔĔĕ"
1360
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1361
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1362
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1363
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1364
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1365
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1366
+ "ĕ",
1367
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1369
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1370
+ "ď",
1371
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1372
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1373
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1374
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1375
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1376
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1377
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1378
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1379
+ "ĔĔĔĔĔē"
1380
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1381
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1382
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1383
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1384
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1385
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1386
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1388
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1389
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1390
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1391
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1392
+ ],
1393
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1394
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1395
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1396
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1397
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1398
+ "ĔĔĔĔĔĔĔĔ",
1399
+ "ĔĔĔē"
1400
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1401
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1402
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1403
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1404
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1405
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1406
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1407
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1408
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1409
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1410
+ "ĔĔĔĔĔĔĔĔ",
1411
+ "ĔĔē"
1412
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1413
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1414
+ "ĔĔĔĔĔĔĔĔ",
1415
+ "ĔĔĕ"
1416
+ ],
1417
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1418
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1419
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ"
1420
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1421
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1422
+ "đ",
1423
+ "đ"
1424
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1425
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1426
+ "Ė",
1427
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1428
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1429
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1430
+ "ĕ",
1431
+ "Ĕ"
1432
+ ],
1433
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1434
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1435
+ "Ē"
1436
+ ],
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1438
+ "ē",
1439
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ"
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1441
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1442
+ "ĔĔē",
1443
+ "Ĕē"
1444
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1446
+ "ē",
1447
+ "ĔĔĔē"
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1450
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1451
+ "ĔĔĔĕ"
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+ ],
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1454
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1455
+ "Ę"
1456
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1457
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1458
+ "ĔĔĔĔ",
1459
+ "ĔĔ"
1460
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1461
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1462
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1463
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1466
+ "Ĕ",
1467
+ "Ę"
1468
+ ],
1469
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1470
+ "ĕ",
1471
+ "Đ"
1472
+ ],
1473
+ [
1474
+ "Ď",
1475
+ "Ē"
1476
+ ],
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+ [
1478
+ "(",
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+ "đ"
1480
+ ],
1481
+ [
1482
+ "ĔĔĔĔĔĔĔĔĔĔĔĔ",
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+ "Ĕĕ"
1484
+ ],
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1486
+ "ė",
1487
+ "Ē"
1488
+ ],
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1490
+ "Ā",
1491
+ "Ē"
1492
+ ],
1493
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1494
+ "đ",
1495
+ "Ė"
1496
+ ],
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1498
+ "(",
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+ "Ė"
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+ ],
1501
+ [
1502
+ "Ĕē",
1503
+ "Ĕĕ"
1504
+ ],
1505
+ [
1506
+ "ĔĔĔĔĔĔĔĔĔĔĔĔ",
1507
+ "Ĕ"
1508
+ ],
1509
+ [
1510
+ "ĕ",
1511
+ "ēē"
1512
+ ],
1513
+ [
1514
+ "ē",
1515
+ "ĔĒ"
1516
+ ],
1517
+ [
1518
+ "Ĕē",
1519
+ "Ē"
1520
+ ],
1521
+ [
1522
+ "ĕ",
1523
+ "ĔĔĔē"
1524
+ ],
1525
+ [
1526
+ "ē",
1527
+ "("
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+ ],
1529
+ [
1530
+ "ĔĔĔĔĔĔĔĔĔĔĔĔ",
1531
+ "Ĕē"
1532
+ ],
1533
+ [
1534
+ "ĔĔĕ",
1535
+ "ĔĔē"
1536
+ ],
1537
+ [
1538
+ "ĔĔĔĕ",
1539
+ "Ĕē"
1540
+ ],
1541
+ [
1542
+ "Ĕ",
1543
+ "ď"
1544
+ ],
1545
+ [
1546
+ "ē",
1547
+ "ĔĔ"
1548
+ ],
1549
+ [
1550
+ "ĔĔĕ",
1551
+ "Ĕĕ"
1552
+ ],
1553
+ [
1554
+ "ĔĔĔĔ",
1555
+ "ēĕ"
1556
+ ],
1557
+ [
1558
+ "Ā",
1559
+ "("
1560
+ ],
1561
+ [
1562
+ "ē",
1563
+ "ę"
1564
+ ],
1565
+ [
1566
+ "ē",
1567
+ "ĔĖ"
1568
+ ],
1569
+ [
1570
+ "ĕ",
1571
+ "ĔĔ"
1572
+ ],
1573
+ [
1574
+ "Ē",
1575
+ "Đ"
1576
+ ],
1577
+ [
1578
+ "ĕ",
1579
+ "ĔĖ"
1580
+ ],
1581
+ [
1582
+ "ĕ",
1583
+ "ĔĒ"
1584
+ ],
1585
+ [
1586
+ "ĔĔĔĔĔĔĔĔ",
1587
+ "Ĕ"
1588
+ ],
1589
+ [
1590
+ "ĔĔĕ",
1591
+ "Ĕē"
1592
+ ],
1593
+ [
1594
+ "Ā",
1595
+ "Ĕ"
1596
+ ],
1597
+ [
1598
+ "đ",
1599
+ "Đ"
1600
+ ],
1601
+ [
1602
+ "ĔĔĔĔ",
1603
+ "ĕĕ"
1604
+ ],
1605
+ [
1606
+ "Ē",
1607
+ "ė"
1608
+ ],
1609
+ [
1610
+ "ĔĔĔē",
1611
+ "Ĕĕ"
1612
+ ],
1613
+ [
1614
+ "Ė",
1615
+ "Ĕĕ"
1616
+ ],
1617
+ [
1618
+ "đ",
1619
+ "ĕ"
1620
+ ],
1621
+ [
1622
+ "Ē",
1623
+ "Ĕē"
1624
+ ],
1625
+ [
1626
+ "ē",
1627
+ "Ě"
1628
+ ],
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+ [
1630
+ "(",
1631
+ "ė"
1632
+ ],
1633
+ [
1634
+ "Ē",
1635
+ "ď"
1636
+ ],
1637
+ [
1638
+ "ĕ",
1639
+ "Ā"
1640
+ ],
1641
+ [
1642
+ "ĔĔē",
1643
+ "Ĕĕ"
1644
+ ],
1645
+ [
1646
+ "đ",
1647
+ "ė"
1648
+ ],
1649
+ [
1650
+ "ē",
1651
+ "ĔĔĔĔĔĔĔĔĔĔĔĔ"
1652
+ ],
1653
+ [
1654
+ "Ē",
1655
+ "("
1656
+ ],
1657
+ [
1658
+ "ĕ",
1659
+ "Ę"
1660
+ ],
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+ [
1662
+ "ĕ",
1663
+ "ď"
1664
+ ],
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+ [
1666
+ "ē",
1667
+ "ě"
1668
+ ],
1669
+ [
1670
+ "ĕ",
1671
+ "ĔĔĔĔĔĔĔĔĔĔĔĔ"
1672
+ ],
1673
+ [
1674
+ "ĔĔĕ",
1675
+ "ĔĔĔĔĔĕ"
1676
+ ],
1677
+ [
1678
+ "Ė",
1679
+ "đ"
1680
+ ],
1681
+ [
1682
+ "(",
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+ "Ā"
1684
+ ],
1685
+ [
1686
+ "ĔĒ",
1687
+ "Ĕē"
1688
+ ],
1689
+ [
1690
+ "Ĕĕ",
1691
+ "ĔĔē"
1692
+ ],
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+ [
1694
+ "(",
1695
+ "Ę"
1696
+ ],
1697
+ [
1698
+ "đ",
1699
+ "Ā"
1700
+ ],
1701
+ [
1702
+ "ĔĔĔĔĔĔĔĔ",
1703
+ "ĔĔĔ"
1704
+ ],
1705
+ [
1706
+ "Ē",
1707
+ "Ď"
1708
+ ],
1709
+ [
1710
+ "Ĕ",
1711
+ "Ď"
1712
+ ],
1713
+ [
1714
+ "Ĕ",
1715
+ "ę"
1716
+ ],
1717
+ [
1718
+ "ĕ",
1719
+ "Ď"
1720
+ ],
1721
+ [
1722
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
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+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ"
1724
+ ],
1725
+ [
1726
+ "đ",
1727
+ "ē"
1728
+ ],
1729
+ [
1730
+ "ĔĔ",
1731
+ "ė"
1732
+ ],
1733
+ [
1734
+ "ĔĔĕ",
1735
+ "ĔĔĕ"
1736
+ ],
1737
+ [
1738
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
1739
+ "ĔĔĔĔ"
1740
+ ],
1741
+ [
1742
+ "ēĒ",
1743
+ "Ė"
1744
+ ],
1745
+ [
1746
+ "ĕē",
1747
+ "Ĕē"
1748
+ ],
1749
+ [
1750
+ "(",
1751
+ "Đ"
1752
+ ],
1753
+ [
1754
+ "Ĕ",
1755
+ "Ā"
1756
+ ],
1757
+ [
1758
+ "ĔĔĔĔĔĔĔĔ",
1759
+ "ĔĔ"
1760
+ ],
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1762
+ "đ",
1763
+ "ď"
1764
+ ],
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1766
+ "Ę",
1767
+ "Ē"
1768
+ ],
1769
+ [
1770
+ "ĕ",
1771
+ "ę"
1772
+ ],
1773
+ [
1774
+ "ē",
1775
+ "ć"
1776
+ ],
1777
+ [
1778
+ "ē",
1779
+ "Ĝ"
1780
+ ],
1781
+ [
1782
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
1783
+ "Ĕĕ"
1784
+ ],
1785
+ [
1786
+ "Ĉ",
1787
+ "Ē"
1788
+ ],
1789
+ [
1790
+ "Ė",
1791
+ "Ĕē"
1792
+ ],
1793
+ [
1794
+ "ē",
1795
+ "ĔĔĔĕ"
1796
+ ],
1797
+ [
1798
+ "ē",
1799
+ "Ĉ"
1800
+ ],
1801
+ [
1802
+ "(",
1803
+ "ę"
1804
+ ],
1805
+ [
1806
+ "ĔĔĔĔ",
1807
+ "ēē"
1808
+ ],
1809
+ [
1810
+ "ĕ",
1811
+ "ĔĔĔ"
1812
+ ],
1813
+ [
1814
+ "ĔĔĔĕ",
1815
+ "ĔĔĔĔĔĕ"
1816
+ ],
1817
+ [
1818
+ "Ė",
1819
+ "ė"
1820
+ ],
1821
+ [
1822
+ "ĕ",
1823
+ "Ēĕ"
1824
+ ],
1825
+ [
1826
+ "Ē",
1827
+ "ć"
1828
+ ],
1829
+ [
1830
+ "ĔĔĔĔ",
1831
+ "ĔĖ"
1832
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1833
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1834
+ "ĔĔĔē",
1835
+ "ĔĔĔĔĔē"
1836
+ ],
1837
+ [
1838
+ "đ",
1839
+ "Ę"
1840
+ ],
1841
+ [
1842
+ "Ē",
1843
+ "Ę"
1844
+ ],
1845
+ [
1846
+ "Ĕē",
1847
+ "ĔĔĔĔĔē"
1848
+ ],
1849
+ [
1850
+ "ĔĔē",
1851
+ "ĔĔē"
1852
+ ],
1853
+ [
1854
+ "Đ",
1855
+ "Ė"
1856
+ ],
1857
+ [
1858
+ "ē",
1859
+ "ĝ"
1860
+ ],
1861
+ [
1862
+ "(",
1863
+ "Ď"
1864
+ ],
1865
+ [
1866
+ "Ē",
1867
+ "Ĉ"
1868
+ ],
1869
+ [
1870
+ "ĔĔĔĔ",
1871
+ "ĕē"
1872
+ ],
1873
+ [
1874
+ "ē",
1875
+ "ĔēĔē"
1876
+ ],
1877
+ [
1878
+ "ĕ",
1879
+ "ēĒ"
1880
+ ],
1881
+ [
1882
+ "Ē",
1883
+ "Ĕ"
1884
+ ],
1885
+ [
1886
+ "đ",
1887
+ "Ď"
1888
+ ],
1889
+ [
1890
+ "Ē",
1891
+ "ę"
1892
+ ],
1893
+ [
1894
+ "(",
1895
+ "ď"
1896
+ ],
1897
+ [
1898
+ "(",
1899
+ "Ě"
1900
+ ],
1901
+ [
1902
+ "ēĕ",
1903
+ "Ĕĕ"
1904
+ ],
1905
+ [
1906
+ "ĕĕ",
1907
+ "Ĕĕ"
1908
+ ],
1909
+ [
1910
+ "Ā",
1911
+ "Ė"
1912
+ ],
1913
+ [
1914
+ "ē",
1915
+ "Ğ"
1916
+ ],
1917
+ [
1918
+ "ė",
1919
+ "Ė"
1920
+ ],
1921
+ [
1922
+ "Ĕē",
1923
+ "Ė"
1924
+ ],
1925
+ [
1926
+ "ē",
1927
+ "Ć"
1928
+ ],
1929
+ [
1930
+ "(",
1931
+ "Ĉ"
1932
+ ],
1933
+ [
1934
+ "ĔĔĔĔĔĔĔĔĔĔĔĔ",
1935
+ "ĔĔē"
1936
+ ],
1937
+ [
1938
+ "Đ",
1939
+ "đ"
1940
+ ],
1941
+ [
1942
+ "ĔĔ",
1943
+ "đ"
1944
+ ],
1945
+ [
1946
+ "Ē",
1947
+ "Ć"
1948
+ ],
1949
+ [
1950
+ "Ē",
1951
+ "Ĕĕ"
1952
+ ],
1953
+ [
1954
+ "ĔĒ",
1955
+ "Ė"
1956
+ ],
1957
+ [
1958
+ "ď",
1959
+ "Ā"
1960
+ ],
1961
+ [
1962
+ "ĔĔĕ",
1963
+ "ĔĔĔĔ"
1964
+ ],
1965
+ [
1966
+ "ē",
1967
+ "ą"
1968
+ ],
1969
+ [
1970
+ "ĕ",
1971
+ "đĒ"
1972
+ ],
1973
+ [
1974
+ "ĔĔĔĔĔĔĔĔĔĔĔĔ",
1975
+ "ĔĔĔĕ"
1976
+ ],
1977
+ [
1978
+ "đ",
1979
+ "Ĕ"
1980
+ ],
1981
+ [
1982
+ "ĔĔĔĔĔĕ",
1983
+ "ĔĔĔĔĔĕ"
1984
+ ],
1985
+ [
1986
+ "ĔēĔē",
1987
+ "Ĕē"
1988
+ ],
1989
+ [
1990
+ "ĔĔĔĔ",
1991
+ "ēĔĔĔĔ"
1992
+ ],
1993
+ [
1994
+ "ĔĔĔĔĔĔĔĔĔĔĔĔ",
1995
+ "ĔĔ"
1996
+ ],
1997
+ [
1998
+ "Ė",
1999
+ "Ā"
2000
+ ],
2001
+ [
2002
+ "(",
2003
+ "ě"
2004
+ ],
2005
+ [
2006
+ "ĕ",
2007
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ"
2008
+ ],
2009
+ [
2010
+ "ĕ",
2011
+ "Ě"
2012
+ ],
2013
+ [
2014
+ "ē",
2015
+ "ĔĔĖ"
2016
+ ],
2017
+ [
2018
+ "Ĕē",
2019
+ "Ēĕ"
2020
+ ],
2021
+ [
2022
+ "ē",
2023
+ "ğ"
2024
+ ],
2025
+ [
2026
+ "ė",
2027
+ "Ā"
2028
+ ],
2029
+ [
2030
+ "Đ",
2031
+ "Ā"
2032
+ ],
2033
+ [
2034
+ "ĕĕ",
2035
+ "Ĕē"
2036
+ ],
2037
+ [
2038
+ "đ",
2039
+ "ę"
2040
+ ],
2041
+ [
2042
+ "Ē",
2043
+ "ą"
2044
+ ],
2045
+ [
2046
+ "ĔĔĔĔĔē",
2047
+ "ĔĔĔĔĔē"
2048
+ ],
2049
+ [
2050
+ "(",
2051
+ "đĒ"
2052
+ ],
2053
+ [
2054
+ "Đ",
2055
+ "ė"
2056
+ ],
2057
+ [
2058
+ "ĔĔ",
2059
+ "Ēĕ"
2060
+ ],
2061
+ [
2062
+ "ĔĒ",
2063
+ "Ĕĕ"
2064
+ ],
2065
+ [
2066
+ "(",
2067
+ "ć"
2068
+ ],
2069
+ [
2070
+ "Ē",
2071
+ "Ě"
2072
+ ],
2073
+ [
2074
+ "ē",
2075
+ "ā"
2076
+ ],
2077
+ [
2078
+ "ĕ",
2079
+ "ĔĔĖ"
2080
+ ],
2081
+ [
2082
+ "ĔĔĔĔ",
2083
+ "ĕĔĔĔĔ"
2084
+ ],
2085
+ [
2086
+ "Ĕĕ",
2087
+ "ĔĔĔĕ"
2088
+ ],
2089
+ [
2090
+ "ĔĔē",
2091
+ "ĔĔĕ"
2092
+ ],
2093
+ [
2094
+ "ē",
2095
+ "Ą"
2096
+ ],
2097
+ [
2098
+ "(",
2099
+ "Ĕ"
2100
+ ],
2101
+ [
2102
+ "Đ",
2103
+ "ď"
2104
+ ],
2105
+ [
2106
+ "Ē",
2107
+ "ă"
2108
+ ],
2109
+ [
2110
+ "đ",
2111
+ "Ēĕ"
2112
+ ],
2113
+ [
2114
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
2115
+ "ĔĔĔ"
2116
+ ],
2117
+ [
2118
+ "ē",
2119
+ "ă"
2120
+ ],
2121
+ [
2122
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
2123
+ "ĔĔĔĔĔ"
2124
+ ],
2125
+ [
2126
+ "Ē",
2127
+ "ā"
2128
+ ],
2129
+ [
2130
+ "ē",
2131
+ "Ĕđ"
2132
+ ],
2133
+ [
2134
+ "(",
2135
+ "Ć"
2136
+ ],
2137
+ [
2138
+ "ē",
2139
+ "Ă"
2140
+ ],
2141
+ [
2142
+ "Ę",
2143
+ "Ā"
2144
+ ],
2145
+ [
2146
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
2147
+ "Ĕē"
2148
+ ],
2149
+ [
2150
+ "Ē",
2151
+ "Ēĕ"
2152
+ ],
2153
+ [
2154
+ "ēē",
2155
+ "Ĕē"
2156
+ ],
2157
+ [
2158
+ "ĕĔĔĔĔ",
2159
+ "ēĕ"
2160
+ ],
2161
+ [
2162
+ "Ē",
2163
+ "Ą"
2164
+ ],
2165
+ [
2166
+ "Ē",
2167
+ "Ă"
2168
+ ],
2169
+ [
2170
+ "ĕ",
2171
+ "ĔĔĒ"
2172
+ ],
2173
+ [
2174
+ "Ė",
2175
+ "Đ"
2176
+ ],
2177
+ [
2178
+ "ė",
2179
+ "đ"
2180
+ ],
2181
+ [
2182
+ "ē",
2183
+ "ĔĔĔ"
2184
+ ],
2185
+ [
2186
+ "ĕĔĔĔĔ",
2187
+ "ĕĕ"
2188
+ ],
2189
+ [
2190
+ "ĕ",
2191
+ "ě"
2192
+ ],
2193
+ [
2194
+ "ĔĔĔĔ",
2195
+ "ĔĒ"
2196
+ ],
2197
+ [
2198
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
2199
+ "ĔĔĔĔĔĔĔē"
2200
+ ],
2201
+ [
2202
+ "ĔĔē",
2203
+ "ĔĔĔĔĔē"
2204
+ ],
2205
+ [
2206
+ "ĔĖ",
2207
+ "Ĕĕ"
2208
+ ],
2209
+ [
2210
+ "(",
2211
+ "Ĝ"
2212
+ ],
2213
+ [
2214
+ "ĕ",
2215
+ "Ć"
2216
+ ],
2217
+ [
2218
+ "Ě",
2219
+ "Ā"
2220
+ ],
2221
+ [
2222
+ "ĕ",
2223
+ "ć"
2224
+ ],
2225
+ [
2226
+ "ĕ",
2227
+ "Ĝ"
2228
+ ],
2229
+ [
2230
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
2231
+ "ĔĔĔĔĔĔĔĕ"
2232
+ ],
2233
+ [
2234
+ "ė",
2235
+ "Ĕĕ"
2236
+ ],
2237
+ [
2238
+ "Ę",
2239
+ "Ė"
2240
+ ],
2241
+ [
2242
+ "ĔĔĔĔĔĔĔĔĔĔĔĔ",
2243
+ "ĔĔĔē"
2244
+ ],
2245
+ [
2246
+ "ď",
2247
+ "Ė"
2248
+ ],
2249
+ [
2250
+ "Ď",
2251
+ "Ā"
2252
+ ],
2253
+ [
2254
+ "ĕ",
2255
+ "Ĉ"
2256
+ ],
2257
+ [
2258
+ "ē",
2259
+ "!"
2260
+ ],
2261
+ [
2262
+ "ēĒ",
2263
+ "Ā"
2264
+ ],
2265
+ [
2266
+ "ĕē",
2267
+ "Ĕĕ"
2268
+ ],
2269
+ [
2270
+ "Đ",
2271
+ "Đ"
2272
+ ],
2273
+ [
2274
+ "đ",
2275
+ "ć"
2276
+ ],
2277
+ [
2278
+ "(",
2279
+ "ĕē"
2280
+ ],
2281
+ [
2282
+ "Ē",
2283
+ "ě"
2284
+ ],
2285
+ [
2286
+ "ēē",
2287
+ "Ė"
2288
+ ],
2289
+ [
2290
+ "ēĒ",
2291
+ "ė"
2292
+ ],
2293
+ [
2294
+ "Ĕ",
2295
+ "Ě"
2296
+ ],
2297
+ [
2298
+ "ę",
2299
+ "Ā"
2300
+ ],
2301
+ [
2302
+ "ď",
2303
+ "đ"
2304
+ ],
2305
+ [
2306
+ "ĔĔĔĔĔĔĔĔĔĔĔĔ",
2307
+ "ĔĔĕ"
2308
+ ],
2309
+ [
2310
+ "ēĕ",
2311
+ "Ĕē"
2312
+ ],
2313
+ [
2314
+ "ĔĔĔĔ",
2315
+ "Ė"
2316
+ ],
2317
+ [
2318
+ "ě",
2319
+ "Ā"
2320
+ ],
2321
+ [
2322
+ "(",
2323
+ "ĝ"
2324
+ ],
2325
+ [
2326
+ "Ĕĕ",
2327
+ "Ė"
2328
+ ],
2329
+ [
2330
+ "ĔĔĔĔ",
2331
+ "Ē"
2332
+ ],
2333
+ [
2334
+ "Ď",
2335
+ "Ė"
2336
+ ],
2337
+ [
2338
+ "Ď",
2339
+ "Đ"
2340
+ ],
2341
+ [
2342
+ "ė",
2343
+ "ė"
2344
+ ],
2345
+ [
2346
+ "ĕĔĔĔĔ",
2347
+ "ĔĔē"
2348
+ ],
2349
+ [
2350
+ "đ",
2351
+ "Ě"
2352
+ ],
2353
+ [
2354
+ "ē",
2355
+ "\""
2356
+ ],
2357
+ [
2358
+ "ĔĔĔē",
2359
+ "ĔĔĔĔ"
2360
+ ],
2361
+ [
2362
+ "ēē",
2363
+ "Ĕĕ"
2364
+ ],
2365
+ [
2366
+ "ĕĔĔē",
2367
+ "Ĕē"
2368
+ ],
2369
+ [
2370
+ "Ĕ",
2371
+ "("
2372
+ ],
2373
+ [
2374
+ "ĕ",
2375
+ "ĝ"
2376
+ ],
2377
+ [
2378
+ "ĔĔĔĔ",
2379
+ "ē"
2380
+ ],
2381
+ [
2382
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
2383
+ "ĔĔĔĔĔĔĔĔ"
2384
+ ],
2385
+ [
2386
+ "ĔĔĔĔĔĔē",
2387
+ "Ĕē"
2388
+ ],
2389
+ [
2390
+ "đ",
2391
+ "Ć"
2392
+ ],
2393
+ [
2394
+ "(",
2395
+ "("
2396
+ ],
2397
+ [
2398
+ "ĕ",
2399
+ "Ą"
2400
+ ],
2401
+ [
2402
+ "Ĝ",
2403
+ "Ā"
2404
+ ],
2405
+ [
2406
+ "Ĕĕ",
2407
+ "ĔĔĔĔĔĕ"
2408
+ ],
2409
+ [
2410
+ "ĕ",
2411
+ "ą"
2412
+ ],
2413
+ [
2414
+ "ēĔĔĔĔ",
2415
+ "ĔĔĕ"
2416
+ ],
2417
+ [
2418
+ "(",
2419
+ "ą"
2420
+ ],
2421
+ [
2422
+ "ēĒ",
2423
+ "Đ"
2424
+ ],
2425
+ [
2426
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
2427
+ "ĔĔĔĔĔĔĔĔĔ"
2428
+ ],
2429
+ [
2430
+ "đ",
2431
+ "Ĕē"
2432
+ ],
2433
+ [
2434
+ "(",
2435
+ "Ğ"
2436
+ ],
2437
+ [
2438
+ "Ē",
2439
+ "ēē"
2440
+ ],
2441
+ [
2442
+ "(",
2443
+ "ēē"
2444
+ ],
2445
+ [
2446
+ "Ē",
2447
+ "ĔĒ"
2448
+ ],
2449
+ [
2450
+ "ę",
2451
+ "Ė"
2452
+ ],
2453
+ [
2454
+ "ĔĔĔĔĔĔĔĔ",
2455
+ "ēĕ"
2456
+ ],
2457
+ [
2458
+ "ē",
2459
+ "#"
2460
+ ],
2461
+ [
2462
+ "ē",
2463
+ "$"
2464
+ ],
2465
+ [
2466
+ "Ę",
2467
+ "ė"
2468
+ ],
2469
+ [
2470
+ "ēĔĔĔĔ",
2471
+ "ĔĔĔĕ"
2472
+ ],
2473
+ [
2474
+ "Đ",
2475
+ "Ĕ"
2476
+ ],
2477
+ [
2478
+ "ĕ",
2479
+ "Ğ"
2480
+ ],
2481
+ [
2482
+ "ğ",
2483
+ "Ā"
2484
+ ],
2485
+ [
2486
+ "ē",
2487
+ "Ĕė"
2488
+ ],
2489
+ [
2490
+ "đ",
2491
+ "ě"
2492
+ ],
2493
+ [
2494
+ "Ė",
2495
+ "ĕĕ"
2496
+ ],
2497
+ [
2498
+ "Ĕē",
2499
+ "ĔĔĕ"
2500
+ ],
2501
+ [
2502
+ "ēĒ",
2503
+ "ę"
2504
+ ],
2505
+ [
2506
+ "ĕĔĔĔĔ",
2507
+ "ĔĔĔĕ"
2508
+ ],
2509
+ [
2510
+ "ē",
2511
+ "'"
2512
+ ],
2513
+ [
2514
+ "ď",
2515
+ "Đ"
2516
+ ],
2517
+ [
2518
+ "Ď",
2519
+ "đ"
2520
+ ],
2521
+ [
2522
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
2523
+ "ĔĔĔĔ"
2524
+ ],
2525
+ [
2526
+ "ď",
2527
+ "ė"
2528
+ ],
2529
+ [
2530
+ "Ĕ",
2531
+ "Ĉ"
2532
+ ],
2533
+ [
2534
+ "ĔĔĔē",
2535
+ "Ĕ"
2536
+ ],
2537
+ [
2538
+ "Ĕ",
2539
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2542
+ "ĔĖ",
2543
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2546
+ "Ē",
2547
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2550
+ "ĔĔĔĔ",
2551
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2552
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2553
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2554
+ "ĔĔĕ",
2555
+ "ĔĔĔĔĔĔĔĔ"
2556
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2557
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2558
+ "ĔĔĕ",
2559
+ "ĔĔĔĕ"
2560
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2561
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2562
+ "Ď",
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2566
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2570
+ "Ē",
2571
+ "ĝ"
2572
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2574
+ "ēĔĔĔĔ",
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2577
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2578
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
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+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĕ"
2580
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2581
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2582
+ "ēĕ",
2583
+ "Ė"
2584
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2586
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2588
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2590
+ "ĕ",
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2592
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2594
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2596
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2597
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2598
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2601
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2602
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2603
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2604
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2605
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2606
+ "ĕ",
2607
+ "Ĕđ"
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2610
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2612
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2613
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2614
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2618
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2622
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2623
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2624
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2626
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2627
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2629
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2630
+ "ė",
2631
+ "Đ"
2632
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2634
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2637
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2638
+ "ď",
2639
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2640
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2642
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2643
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2646
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2652
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2654
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2655
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2658
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2660
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2662
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2663
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2666
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2670
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2674
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2675
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2678
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2682
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2686
+ "ĔĔĔĔĔĔĔē",
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2690
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2691
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2694
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2698
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2702
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2706
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2707
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2708
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2710
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2711
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2712
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2714
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2716
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2717
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2718
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2721
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2722
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2724
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2726
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2727
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2728
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2730
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2731
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2734
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2735
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2736
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2738
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2742
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2746
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2750
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2751
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2754
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2758
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2762
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2766
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2767
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2770
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2771
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2772
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2774
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2782
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2783
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2786
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2790
+ "ę",
2791
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2794
+ "ĝ",
2795
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2797
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2798
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2799
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2802
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2803
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2806
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2810
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2813
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2814
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2818
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2819
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2820
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2821
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2822
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2823
+ "ēĔĔĔĔĔĔĔĔ"
2824
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2826
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2827
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2828
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2829
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2830
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2831
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2832
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2833
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2834
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2835
+ "ĔĔ"
2836
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2837
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2838
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2839
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2840
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2841
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2842
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2843
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2844
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2845
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2846
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2850
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2851
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2852
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2854
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2855
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2856
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2858
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2859
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2862
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2863
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2865
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2866
+ "ĕ",
2867
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2870
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
2871
+ "ĔĔĔĕ"
2872
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2874
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2875
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2876
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2878
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2879
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2880
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2881
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2882
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2883
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2886
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2890
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2894
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2898
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2899
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2902
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2903
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2906
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2910
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2911
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2912
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2914
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2915
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2918
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2919
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2922
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2923
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2924
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2925
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2926
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2927
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2929
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2930
+ "Ĕ",
2931
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2932
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2933
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2934
+ "Ď",
2935
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2936
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2937
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2942
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2943
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2945
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2946
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2947
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2950
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2951
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2952
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2954
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2955
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2958
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2962
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2966
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2967
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2968
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2970
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2972
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2974
+ "ĔĔĔĔĔĔĔĔ",
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2976
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2978
+ "ĕ",
2979
+ "\""
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2982
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2983
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2986
+ "ė",
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2990
+ "Ēĕ",
2991
+ "đ"
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2994
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2995
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2996
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2998
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3002
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3003
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3006
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
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+ "ĔĔĔĔĔĔĔ"
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3010
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3011
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3014
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3015
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3017
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3018
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3022
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3023
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3026
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3027
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3028
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3030
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3031
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3032
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3034
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3035
+ "$"
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3038
+ "ď",
3039
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3040
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3041
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3042
+ "Ĕ",
3043
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3044
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3045
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3046
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3047
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3050
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3051
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3052
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3054
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3055
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3056
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3057
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3058
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3059
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3060
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3062
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3063
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3066
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3067
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3070
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3074
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3082
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3083
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3086
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
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+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔē"
3088
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3090
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3091
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3094
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3098
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3099
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3100
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3101
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3102
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3106
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3110
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3114
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3118
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3119
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3122
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3124
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3125
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3126
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3127
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3128
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3130
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3131
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3132
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3133
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3134
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3135
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3136
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3138
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3140
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3141
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3142
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3143
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3144
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3145
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3146
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3148
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3150
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3152
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3153
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3154
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3155
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3156
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3157
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3158
+ "ĕĔĔĔĔĔĔĔĔ",
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3162
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3166
+ "ĕ",
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3169
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3170
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3174
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3178
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3180
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3182
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3184
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3185
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3186
+ "ĕĔĔĔĔĔĔĔĔ",
3187
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3188
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3189
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3190
+ "Ā(",
3191
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3192
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3193
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3194
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3196
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3197
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3198
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3201
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3202
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3206
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3210
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3214
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3218
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3222
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3225
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3226
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3230
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3231
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3234
+ "(",
3235
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3238
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3242
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3243
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3246
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3247
+ "ĔĔĔĔ"
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3249
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3250
+ "Ĕ",
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3253
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3254
+ "Ę",
3255
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3258
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
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+ "ĔĔĔĔĔĔĔĔĔĔĔĔ"
3260
+ ],
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3262
+ "ĕĕ",
3263
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3269
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3270
+ "ēĔĔĔĔĔĔĔĔ",
3271
+ "ĔĔĕ"
3272
+ ],
3273
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3274
+ "ĕĔĔĔĔĔĔĔĔ",
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+ "ĔĔē"
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3278
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3279
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3280
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3282
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3283
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3286
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3290
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3291
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3294
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3295
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3298
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+ "ď"
3300
+ ],
3301
+ [
3302
+ "Ġ",
3303
+ "Ė"
3304
+ ],
3305
+ [
3306
+ "ĕĔĔĔĔĔĔĔĔ",
3307
+ "Ĕē"
3308
+ ],
3309
+ [
3310
+ "Đ",
3311
+ "Ēĕ"
3312
+ ],
3313
+ [
3314
+ "Ě",
3315
+ "("
3316
+ ],
3317
+ [
3318
+ "ĔĔĔĔ",
3319
+ "ĔĔĔĒ"
3320
+ ],
3321
+ [
3322
+ "ĔĔĔē",
3323
+ "ĔĒ"
3324
+ ],
3325
+ [
3326
+ "ēđ",
3327
+ "Ė"
3328
+ ],
3329
+ [
3330
+ "đ",
3331
+ "&"
3332
+ ],
3333
+ [
3334
+ "ē",
3335
+ "ĔĔĔĒ"
3336
+ ],
3337
+ [
3338
+ "ě",
3339
+ "("
3340
+ ],
3341
+ [
3342
+ "ĕĒ",
3343
+ "Ĕē"
3344
+ ],
3345
+ [
3346
+ "ēĔĔĕ",
3347
+ "ĔĔē"
3348
+ ],
3349
+ [
3350
+ "Ď",
3351
+ "("
3352
+ ],
3353
+ [
3354
+ "ĔĔĔĔ",
3355
+ "ēĔĕ"
3356
+ ],
3357
+ [
3358
+ "ĔĔĔĔĔĔĔĔ",
3359
+ "ĔĕĔĕ"
3360
+ ],
3361
+ [
3362
+ "ēĕ",
3363
+ "ĔĖ"
3364
+ ],
3365
+ [
3366
+ "ĕĔĔĕ",
3367
+ "Ĕĕ"
3368
+ ],
3369
+ [
3370
+ "ĔĔĔĔĔĔĔĔĔĕ",
3371
+ "ĔĔĔĔĔĕ"
3372
+ ],
3373
+ [
3374
+ "Đ",
3375
+ "ę"
3376
+ ],
3377
+ [
3378
+ "ēĔĔĔĔ",
3379
+ "ēē"
3380
+ ],
3381
+ [
3382
+ "Ď",
3383
+ "ć"
3384
+ ],
3385
+ [
3386
+ "ĕĔĔĔĔ",
3387
+ "ĔĔĔē"
3388
+ ],
3389
+ [
3390
+ "ĕĒ",
3391
+ "Ė"
3392
+ ],
3393
+ [
3394
+ "ĔĔĔĔĔĔĔĔ",
3395
+ "ĔēĔē"
3396
+ ],
3397
+ [
3398
+ "ĔĔĔĔĔĔĔĔ",
3399
+ "ĕĔĔĔĔĔĕ"
3400
+ ],
3401
+ [
3402
+ "ď",
3403
+ "Ć"
3404
+ ],
3405
+ [
3406
+ "Ĕē",
3407
+ "ĕĕ"
3408
+ ],
3409
+ [
3410
+ "ēĔĔĕ",
3411
+ "Ĕĕ"
3412
+ ],
3413
+ [
3414
+ "ď",
3415
+ "ć"
3416
+ ],
3417
+ [
3418
+ "ė",
3419
+ "("
3420
+ ],
3421
+ [
3422
+ "ĔĕĔĕ",
3423
+ "Ĕĕ"
3424
+ ],
3425
+ [
3426
+ "(Ĕē",
3427
+ "Ēĕ"
3428
+ ],
3429
+ [
3430
+ "ď",
3431
+ "Ĉ"
3432
+ ],
3433
+ [
3434
+ "đ",
3435
+ "$"
3436
+ ],
3437
+ [
3438
+ "ē",
3439
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ"
3440
+ ],
3441
+ [
3442
+ "Ė",
3443
+ "Ę"
3444
+ ],
3445
+ [
3446
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
3447
+ "ĔĔē"
3448
+ ],
3449
+ [
3450
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
3451
+ "ĔĔĔē"
3452
+ ],
3453
+ [
3454
+ "ĔĔĔĔĔĔĕ",
3455
+ "ĔĔĔĔĔĕ"
3456
+ ],
3457
+ [
3458
+ "ď",
3459
+ "Ēĕ"
3460
+ ],
3461
+ [
3462
+ "Đ",
3463
+ "Ą"
3464
+ ],
3465
+ [
3466
+ "Đ",
3467
+ "Ć"
3468
+ ],
3469
+ [
3470
+ "Ē",
3471
+ "!"
3472
+ ],
3473
+ [
3474
+ "Ā",
3475
+ "ę"
3476
+ ],
3477
+ [
3478
+ "đ",
3479
+ "\""
3480
+ ],
3481
+ [
3482
+ "ė",
3483
+ "Ď"
3484
+ ],
3485
+ [
3486
+ "ĔĔĔĔĔĔĔĔ",
3487
+ "ĕĕ"
3488
+ ],
3489
+ [
3490
+ "ĔĔĕ",
3491
+ "Ē"
3492
+ ],
3493
+ [
3494
+ "ēĒ",
3495
+ "Ď"
3496
+ ],
3497
+ [
3498
+ "Ĕđ",
3499
+ "Ĕē"
3500
+ ],
3501
+ [
3502
+ "Đ",
3503
+ "ě"
3504
+ ],
3505
+ [
3506
+ "Ė",
3507
+ "Ēĕ"
3508
+ ],
3509
+ [
3510
+ "ė",
3511
+ "Ę"
3512
+ ],
3513
+ [
3514
+ "ĔĔĕ",
3515
+ "Ĕ"
3516
+ ],
3517
+ [
3518
+ "ēĔĔĔĔĔĔĔĔ",
3519
+ "Ĕē"
3520
+ ],
3521
+ [
3522
+ "đ",
3523
+ "!"
3524
+ ],
3525
+ [
3526
+ "ĔĔĔĔĔĔĔĔ",
3527
+ "ēĔĔĔĔĔē"
3528
+ ],
3529
+ [
3530
+ "ĔĔĕ",
3531
+ "ēĔē"
3532
+ ],
3533
+ [
3534
+ "ĔĔĔĕ",
3535
+ "ĔĔē"
3536
+ ],
3537
+ [
3538
+ "ēĒ",
3539
+ "ě"
3540
+ ],
3541
+ [
3542
+ "ēĔĔĔĔĔĔĔĔ",
3543
+ "ĔĔĔē"
3544
+ ],
3545
+ [
3546
+ "Ē",
3547
+ "ē"
3548
+ ],
3549
+ [
3550
+ "ēĒ",
3551
+ "Ĝ"
3552
+ ],
3553
+ [
3554
+ "ĕĔĔĔĔ",
3555
+ "ĔĔĔ"
3556
+ ],
3557
+ [
3558
+ "ĔĔĔĔĔĔĔĔĔĔĔĕ",
3559
+ "ĔĔĔĔĔĕ"
3560
+ ],
3561
+ [
3562
+ "Ā",
3563
+ "ě"
3564
+ ],
3565
+ [
3566
+ "ď",
3567
+ "("
3568
+ ],
3569
+ [
3570
+ "ď",
3571
+ "Ď"
3572
+ ],
3573
+ [
3574
+ "Đ",
3575
+ "ą"
3576
+ ],
3577
+ [
3578
+ "Đ",
3579
+ "Ĝ"
3580
+ ],
3581
+ [
3582
+ "đ",
3583
+ "#"
3584
+ ],
3585
+ [
3586
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
3587
+ "ĔēĔĔĔĔĔē"
3588
+ ],
3589
+ [
3590
+ "ĔĖ",
3591
+ "Ē"
3592
+ ],
3593
+ [
3594
+ "ĔĔĔĔĔē",
3595
+ "Ĕ"
3596
+ ],
3597
+ [
3598
+ "Ġ",
3599
+ "Ď"
3600
+ ],
3601
+ [
3602
+ "ēĔĔĔĔĔĔĔĔ",
3603
+ "ĔĔē"
3604
+ ],
3605
+ [
3606
+ "Ā",
3607
+ "Ď"
3608
+ ],
3609
+ [
3610
+ "ė",
3611
+ "ę"
3612
+ ],
3613
+ [
3614
+ "ĔĔĔĔĔĔĔĔ",
3615
+ "ĕĔē"
3616
+ ],
3617
+ [
3618
+ "(",
3619
+ "ā"
3620
+ ],
3621
+ [
3622
+ "Đ",
3623
+ "ē"
3624
+ ],
3625
+ [
3626
+ "Ĕ",
3627
+ "ğ"
3628
+ ],
3629
+ [
3630
+ "ĔĔĔĔ",
3631
+ "ĕĔĕ"
3632
+ ],
3633
+ [
3634
+ "ĔĔĕ",
3635
+ "ēĕ"
3636
+ ],
3637
+ [
3638
+ "ĔĔĔē",
3639
+ "ĔĔĔ"
3640
+ ],
3641
+ [
3642
+ "đ",
3643
+ "ĕĕ"
3644
+ ],
3645
+ [
3646
+ "Ĕē",
3647
+ "ė"
3648
+ ],
3649
+ [
3650
+ "ēē",
3651
+ "ė"
3652
+ ],
3653
+ [
3654
+ "ēĒ",
3655
+ "Ě"
3656
+ ],
3657
+ [
3658
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
3659
+ "ĔĔĔĔĔĔĔĔĔ"
3660
+ ],
3661
+ [
3662
+ "ď",
3663
+ "ē"
3664
+ ],
3665
+ [
3666
+ "Ē",
3667
+ "ēĕ"
3668
+ ],
3669
+ [
3670
+ "Ė",
3671
+ "ēĕ"
3672
+ ],
3673
+ [
3674
+ "Ā",
3675
+ "Ě"
3676
+ ],
3677
+ [
3678
+ "ć",
3679
+ "Ė"
3680
+ ],
3681
+ [
3682
+ "ĝ",
3683
+ "Ė"
3684
+ ],
3685
+ [
3686
+ "ĔĖ",
3687
+ "ĕĕ"
3688
+ ],
3689
+ [
3690
+ "ĕĔĔĔĔ",
3691
+ "Ĕ"
3692
+ ],
3693
+ [
3694
+ "ēĔĔĔĔĔĔĔĔ",
3695
+ "Ĕĕ"
3696
+ ],
3697
+ [
3698
+ "Ė",
3699
+ "ĔĔē"
3700
+ ],
3701
+ [
3702
+ "ĔĖ",
3703
+ "ĔĔē"
3704
+ ],
3705
+ [
3706
+ "ĔĔĔĔĔē",
3707
+ "ĔĔĔĔ"
3708
+ ],
3709
+ [
3710
+ "Ā",
3711
+ "Ę"
3712
+ ],
3713
+ [
3714
+ "đ",
3715
+ "%"
3716
+ ],
3717
+ [
3718
+ "đ",
3719
+ "ēĕ"
3720
+ ],
3721
+ [
3722
+ "ė",
3723
+ "Ć"
3724
+ ],
3725
+ [
3726
+ "ĔĔĕ",
3727
+ "ĔĔ"
3728
+ ],
3729
+ [
3730
+ "ĔĔĔĕĔĕ",
3731
+ "ĔĔĔĕ"
3732
+ ],
3733
+ [
3734
+ "Ē",
3735
+ "\""
3736
+ ],
3737
+ [
3738
+ "Ĕĕ",
3739
+ "ĕĕ"
3740
+ ],
3741
+ [
3742
+ "ĔĔĔē",
3743
+ "ĔēĔē"
3744
+ ],
3745
+ [
3746
+ "ēĒ",
3747
+ "Ğ"
3748
+ ],
3749
+ [
3750
+ "ĕē",
3751
+ "ĔĔĔĔ"
3752
+ ],
3753
+ [
3754
+ "ĕĔĔĕ",
3755
+ "Ĕē"
3756
+ ],
3757
+ [
3758
+ "ć",
3759
+ "ē"
3760
+ ],
3761
+ [
3762
+ "Ĕ",
3763
+ "!"
3764
+ ],
3765
+ [
3766
+ "Ė",
3767
+ "ę"
3768
+ ],
3769
+ [
3770
+ "ė",
3771
+ "Ēĕ"
3772
+ ],
3773
+ [
3774
+ "Ę",
3775
+ "Ę"
3776
+ ],
3777
+ [
3778
+ "ēē",
3779
+ "ĔĔē"
3780
+ ],
3781
+ [
3782
+ "ēĒ",
3783
+ "("
3784
+ ],
3785
+ [
3786
+ "ĕĔĔē",
3787
+ "Ĕĕ"
3788
+ ],
3789
+ [
3790
+ "Đ",
3791
+ "ā"
3792
+ ],
3793
+ [
3794
+ "Ē",
3795
+ "#"
3796
+ ],
3797
+ [
3798
+ "ĕ",
3799
+ "ĔĔĔĒ"
3800
+ ],
3801
+ [
3802
+ "ĕĔĕ",
3803
+ "Ĕē"
3804
+ ],
3805
+ [
3806
+ "ć",
3807
+ "ę"
3808
+ ],
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+ [
3810
+ "ď",
3811
+ "Ě"
3812
+ ],
3813
+ [
3814
+ "Đ",
3815
+ "Ğ"
3816
+ ],
3817
+ [
3818
+ "ě",
3819
+ "Ė"
3820
+ ],
3821
+ [
3822
+ "ēĒ",
3823
+ "ĝ"
3824
+ ],
3825
+ [
3826
+ "ĕē",
3827
+ "ĔĔē"
3828
+ ],
3829
+ [
3830
+ "Ĕė",
3831
+ "Ė"
3832
+ ],
3833
+ [
3834
+ "ĔĔĔĔĔĔĔĔĔĔĔē",
3835
+ "ĔĔĔĔĔē"
3836
+ ],
3837
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3838
+ "đ",
3839
+ "đĒ"
3840
+ ],
3841
+ [
3842
+ "Ē",
3843
+ "&"
3844
+ ],
3845
+ [
3846
+ "ę",
3847
+ "Ď"
3848
+ ],
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+ [
3850
+ "ě",
3851
+ "Đ"
3852
+ ],
3853
+ [
3854
+ "ĕĖ",
3855
+ "Ė"
3856
+ ],
3857
+ [
3858
+ "Ę",
3859
+ "ę"
3860
+ ],
3861
+ [
3862
+ "Ĝ",
3863
+ "("
3864
+ ],
3865
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3866
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
3867
+ "ĔĔĔĔĔē"
3868
+ ],
3869
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3870
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
3871
+ "ĔĔĔĔĔĔĔ"
3872
+ ],
3873
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3874
+ "ĔĔĒ",
3875
+ "Ĕē"
3876
+ ],
3877
+ [
3878
+ "ĔĔĔĔĔĔĕ",
3879
+ "Ĕĕ"
3880
+ ],
3881
+ [
3882
+ "ēĔ",
3883
+ "Đ"
3884
+ ],
3885
+ [
3886
+ "ēĔĔĕ",
3887
+ "Ĕē"
3888
+ ],
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+ [
3890
+ "đ",
3891
+ "ĔĒ"
3892
+ ],
3893
+ [
3894
+ "ĔĔĔē",
3895
+ "ēē"
3896
+ ],
3897
+ [
3898
+ "ď",
3899
+ "ā"
3900
+ ],
3901
+ [
3902
+ "Ě",
3903
+ "Ď"
3904
+ ],
3905
+ [
3906
+ "ĔĒ",
3907
+ "ĔĔē"
3908
+ ],
3909
+ [
3910
+ "ĕē",
3911
+ "Ĕ"
3912
+ ],
3913
+ [
3914
+ "ēĔ",
3915
+ "Ę"
3916
+ ],
3917
+ [
3918
+ "$",
3919
+ "Ā"
3920
+ ],
3921
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3922
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3923
+ "Ē"
3924
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3925
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3926
+ "Ć",
3927
+ "Ē"
3928
+ ],
3929
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3930
+ "đ",
3931
+ "Ĕđ"
3932
+ ],
3933
+ [
3934
+ "Ė",
3935
+ "Ĉ"
3936
+ ],
3937
+ [
3938
+ "ĔĔĔĔĔĔĔĔ",
3939
+ "ēĔĕ"
3940
+ ],
3941
+ [
3942
+ "ĔĒ",
3943
+ "ĔĔĕ"
3944
+ ],
3945
+ [
3946
+ "ĕĔĔĔĔ",
3947
+ "Ė"
3948
+ ],
3949
+ [
3950
+ "ĕ",
3951
+ "ĐĒ"
3952
+ ],
3953
+ [
3954
+ "Ġ",
3955
+ "("
3956
+ ],
3957
+ [
3958
+ "ĔĔĔĔĔĔĔĔ",
3959
+ "ēĔĔĔĔ"
3960
+ ],
3961
+ [
3962
+ "ēĕ",
3963
+ "ĕĕ"
3964
+ ],
3965
+ [
3966
+ "ĔĔĔ",
3967
+ "Ēĕ"
3968
+ ],
3969
+ [
3970
+ "ēĔĕ",
3971
+ "ĔĔē"
3972
+ ],
3973
+ [
3974
+ "ĔĔĔĔĔĔĔē",
3975
+ "ĔĔĔĔĔē"
3976
+ ],
3977
+ [
3978
+ "ĕĔĔĔĔĔĔĔĔ",
3979
+ "Ĕĕ"
3980
+ ],
3981
+ [
3982
+ "Đ",
3983
+ "ă"
3984
+ ],
3985
+ [
3986
+ "ē",
3987
+ "ĔĔĔĔĔĕ"
3988
+ ],
3989
+ [
3990
+ "ė",
3991
+ "Ĉ"
3992
+ ],
3993
+ [
3994
+ "ĔĔĔĔ",
3995
+ "ĕĔē"
3996
+ ],
3997
+ [
3998
+ "Ĕē",
3999
+ "Ĕ"
4000
+ ],
4001
+ [
4002
+ "ēē",
4003
+ "ēĕ"
4004
+ ],
4005
+ [
4006
+ "ĕē",
4007
+ "ĔēĔē"
4008
+ ],
4009
+ [
4010
+ "Ą",
4011
+ "Ē"
4012
+ ],
4013
+ [
4014
+ "ĕ",
4015
+ "ĔĒĕ"
4016
+ ],
4017
+ [
4018
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
4019
+ "ĔĔĔĔĔĔē"
4020
+ ],
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+ [
4022
+ "ĕĕ",
4023
+ "ĔĔĔē"
4024
+ ],
4025
+ [
4026
+ "ĔĔĔĔĔē",
4027
+ "ĔĔ"
4028
+ ],
4029
+ [
4030
+ "ĔĔĔĖ",
4031
+ "Ĕĕ"
4032
+ ],
4033
+ [
4034
+ "\"",
4035
+ "Ā"
4036
+ ],
4037
+ [
4038
+ "Ď",
4039
+ "ą"
4040
+ ],
4041
+ [
4042
+ "Ď",
4043
+ "Ě"
4044
+ ],
4045
+ [
4046
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
4047
+ "ĔĔĔĔĔĔĕ"
4048
+ ],
4049
+ [
4050
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
4051
+ "ĔĔĔĔĔ"
4052
+ ],
4053
+ [
4054
+ "Ēĕ",
4055
+ "Ĕē"
4056
+ ],
4057
+ [
4058
+ "ĔĔĔĔĔĔĔĕ",
4059
+ "Ĕē"
4060
+ ],
4061
+ [
4062
+ "(",
4063
+ "%"
4064
+ ],
4065
+ [
4066
+ "Ğ",
4067
+ "Ė"
4068
+ ],
4069
+ [
4070
+ "ĔĔĔĔ",
4071
+ "ēĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ"
4072
+ ],
4073
+ [
4074
+ "ĔĖ",
4075
+ "ė"
4076
+ ],
4077
+ [
4078
+ "ēē",
4079
+ "ĔĔĔĕ"
4080
+ ],
4081
+ [
4082
+ "ēĔē",
4083
+ "ĔĔĔē"
4084
+ ],
4085
+ [
4086
+ "ĔĔĔĔĔĔĔē",
4087
+ "Ĕĕ"
4088
+ ],
4089
+ [
4090
+ "Đ",
4091
+ "ĝ"
4092
+ ],
4093
+ [
4094
+ "Đ",
4095
+ "Ĕē"
4096
+ ],
4097
+ [
4098
+ "Ē",
4099
+ "'"
4100
+ ],
4101
+ [
4102
+ "Ē",
4103
+ "Ĕđ"
4104
+ ],
4105
+ [
4106
+ "ě",
4107
+ "ď"
4108
+ ],
4109
+ [
4110
+ "ĕē",
4111
+ "ĔĒ"
4112
+ ],
4113
+ [
4114
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
4115
+ "ĔĔĔĔĔĔ"
4116
+ ],
4117
+ [
4118
+ "ēĖ",
4119
+ "Ė"
4120
+ ],
4121
+ [
4122
+ "#",
4123
+ "Ā"
4124
+ ],
4125
+ [
4126
+ "đ",
4127
+ "ĕĒ"
4128
+ ],
4129
+ [
4130
+ "Ė",
4131
+ "Ć"
4132
+ ],
4133
+ [
4134
+ "Ġ",
4135
+ "ď"
4136
+ ],
4137
+ [
4138
+ "ĔĔĔĔ",
4139
+ "ēĔĔĕ"
4140
+ ],
4141
+ [
4142
+ "ĔĔĔĔ",
4143
+ "ĕĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ"
4144
+ ],
4145
+ [
4146
+ "Ĕĕ",
4147
+ "ĔĒ"
4148
+ ],
4149
+ [
4150
+ "ĔĔĕ",
4151
+ "ĕĕ"
4152
+ ],
4153
+ [
4154
+ "ĔĔē",
4155
+ "Ĕ"
4156
+ ],
4157
+ [
4158
+ "đĒ",
4159
+ "ę"
4160
+ ],
4161
+ [
4162
+ "ēĔĔĔĔ",
4163
+ "ĔĔ"
4164
+ ],
4165
+ [
4166
+ "Ĉ",
4167
+ "Ď"
4168
+ ],
4169
+ [
4170
+ "Ĉ",
4171
+ "ė"
4172
+ ],
4173
+ [
4174
+ "Đ",
4175
+ "Ă"
4176
+ ],
4177
+ [
4178
+ "ğ",
4179
+ "Ė"
4180
+ ],
4181
+ [
4182
+ "ĔĔĔĔ",
4183
+ "ĕĖ"
4184
+ ],
4185
+ [
4186
+ "ĔĔĕ",
4187
+ "ĕĔĕ"
4188
+ ],
4189
+ [
4190
+ "ĔĔĔĔĔĔĔĔĔē",
4191
+ "ĔĔĔĔĔē"
4192
+ ],
4193
+ [
4194
+ "Ď",
4195
+ "ę"
4196
+ ],
4197
+ [
4198
+ "ĕ",
4199
+ "ďĒ"
4200
+ ],
4201
+ [
4202
+ "Ĝ",
4203
+ "Ė"
4204
+ ],
4205
+ [
4206
+ "ĔĔĕ",
4207
+ "ĔĔĔĔĔĔĔĔĔĔĔĔ"
4208
+ ],
4209
+ [
4210
+ "ēĒ",
4211
+ "đ"
4212
+ ],
4213
+ [
4214
+ "ĒĒ",
4215
+ "Ė"
4216
+ ],
4217
+ [
4218
+ "ą",
4219
+ "("
4220
+ ],
4221
+ [
4222
+ "Đ",
4223
+ "ēĒ"
4224
+ ],
4225
+ [
4226
+ "ė",
4227
+ "ĕĕ"
4228
+ ],
4229
+ [
4230
+ "ě",
4231
+ "ė"
4232
+ ],
4233
+ [
4234
+ "ĔĔĔĔĔĔĔĔ",
4235
+ "ĕĔĕ"
4236
+ ],
4237
+ [
4238
+ "ēĕ",
4239
+ "Ĕ"
4240
+ ],
4241
+ [
4242
+ "ĔĒ",
4243
+ "Ĕ"
4244
+ ],
4245
+ [
4246
+ "ĔĖ",
4247
+ "ĔĔĔĔĔĕ"
4248
+ ],
4249
+ [
4250
+ "ēĒĕ",
4251
+ "Ė"
4252
+ ],
4253
+ [
4254
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĕ",
4255
+ "ĔĔĔĔĔĕ"
4256
+ ],
4257
+ [
4258
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĕ",
4259
+ "ĔĔĔĔĔĕ"
4260
+ ],
4261
+ [
4262
+ "ć",
4263
+ "("
4264
+ ],
4265
+ [
4266
+ "Ĝ",
4267
+ "ď"
4268
+ ],
4269
+ [
4270
+ "Ĕĕ",
4271
+ "ēē"
4272
+ ],
4273
+ [
4274
+ "ĔĒ",
4275
+ "ĔĔĔē"
4276
+ ],
4277
+ [
4278
+ "ēĒ",
4279
+ "Ĕē"
4280
+ ],
4281
+ [
4282
+ "đĒ",
4283
+ "ď"
4284
+ ],
4285
+ [
4286
+ "Ā",
4287
+ "Ĉ"
4288
+ ],
4289
+ [
4290
+ "Ć",
4291
+ "("
4292
+ ],
4293
+ [
4294
+ "Ć",
4295
+ "ď"
4296
+ ],
4297
+ [
4298
+ "Ď",
4299
+ "Ă"
4300
+ ],
4301
+ [
4302
+ "Đ",
4303
+ "!"
4304
+ ],
4305
+ [
4306
+ "Ē",
4307
+ "(ē"
4308
+ ],
4309
+ [
4310
+ "Ė",
4311
+ "Ĕ"
4312
+ ],
4313
+ [
4314
+ "ĝ",
4315
+ "ď"
4316
+ ],
4317
+ [
4318
+ "đĒ",
4319
+ "ė"
4320
+ ],
4321
+ [
4322
+ "ēĔĔē",
4323
+ "Ĕē"
4324
+ ],
4325
+ [
4326
+ "Ā",
4327
+ "ğ"
4328
+ ],
4329
+ [
4330
+ "Ć",
4331
+ "ē"
4332
+ ],
4333
+ [
4334
+ "ć",
4335
+ "Ę"
4336
+ ],
4337
+ [
4338
+ "Ď",
4339
+ "Ĉ"
4340
+ ],
4341
+ [
4342
+ "ĕ",
4343
+ "ĔĐ"
4344
+ ],
4345
+ [
4346
+ "ĕ",
4347
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ"
4348
+ ],
4349
+ [
4350
+ "Ġ",
4351
+ "Ą"
4352
+ ],
4353
+ [
4354
+ "ĔĔĔĔ",
4355
+ "ĕĔĔĔĔĔĔĔĔ"
4356
+ ],
4357
+ [
4358
+ "ĔĔĔĔĔē",
4359
+ "Ĕĕ"
4360
+ ],
4361
+ [
4362
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
4363
+ "ĔĔĔĔĔĔĔĔĔĔĔ"
4364
+ ],
4365
+ [
4366
+ "ĕĔĔē",
4367
+ "ĔĔĕ"
4368
+ ],
4369
+ [
4370
+ "Ě",
4371
+ "Ĉ"
4372
+ ],
4373
+ [
4374
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
4375
+ "ĔĔĕ"
4376
+ ],
4377
+ [
4378
+ "đĒ",
4379
+ "Ę"
4380
+ ],
4381
+ [
4382
+ "Ć",
4383
+ "ę"
4384
+ ],
4385
+ [
4386
+ "Ď",
4387
+ "ē"
4388
+ ],
4389
+ [
4390
+ "Ď",
4391
+ "Ēĕ"
4392
+ ],
4393
+ [
4394
+ "Ė",
4395
+ "Ă"
4396
+ ],
4397
+ [
4398
+ "ę",
4399
+ "Ĉ"
4400
+ ],
4401
+ [
4402
+ "ēĒ",
4403
+ "ğ"
4404
+ ],
4405
+ [
4406
+ "đĒ",
4407
+ "ě"
4408
+ ],
4409
+ [
4410
+ "ĔĔĒ",
4411
+ "Ė"
4412
+ ],
4413
+ [
4414
+ "Ē",
4415
+ "%"
4416
+ ],
4417
+ [
4418
+ "ę",
4419
+ "Ę"
4420
+ ],
4421
+ [
4422
+ "ĔĒ",
4423
+ "Ĕđ"
4424
+ ],
4425
+ [
4426
+ "ĔĖ",
4427
+ "ĔĔĔĕ"
4428
+ ],
4429
+ [
4430
+ "ĕē",
4431
+ "ĔĔ"
4432
+ ],
4433
+ [
4434
+ "ĔēĔē",
4435
+ "ĔĔĔē"
4436
+ ],
4437
+ [
4438
+ "ēĔĔĔĔ",
4439
+ "ĔĔĔ"
4440
+ ],
4441
+ [
4442
+ "ĕĖ",
4443
+ "Ĕĕ"
4444
+ ],
4445
+ [
4446
+ "Ĕ",
4447
+ "\""
4448
+ ],
4449
+ [
4450
+ "Ĕ",
4451
+ "#"
4452
+ ],
4453
+ [
4454
+ "ė",
4455
+ "Ą"
4456
+ ],
4457
+ [
4458
+ "Ę",
4459
+ "Ĉ"
4460
+ ],
4461
+ [
4462
+ "Ę",
4463
+ "đ"
4464
+ ],
4465
+ [
4466
+ "Ě",
4467
+ "Đ"
4468
+ ],
4469
+ [
4470
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
4471
+ "ĔĔĔĔĔĔĔĔĔĔĔĕ"
4472
+ ],
4473
+ [
4474
+ "ĔĖ",
4475
+ "ĔĖ"
4476
+ ],
4477
+ [
4478
+ "ĕĕ",
4479
+ "ēĕ"
4480
+ ],
4481
+ [
4482
+ "ēĔē",
4483
+ "ĔĔē"
4484
+ ],
4485
+ [
4486
+ "%",
4487
+ "Ā"
4488
+ ],
4489
+ [
4490
+ "ė",
4491
+ "ć"
4492
+ ],
4493
+ [
4494
+ "Ĝ",
4495
+ "Ď"
4496
+ ],
4497
+ [
4498
+ "Ġ",
4499
+ "Đ"
4500
+ ],
4501
+ [
4502
+ "Ġ",
4503
+ "ė"
4504
+ ],
4505
+ [
4506
+ "ĔĔĔĔĔĔĔĔ",
4507
+ "ēē"
4508
+ ],
4509
+ [
4510
+ "ĔĔĖ",
4511
+ "Ĕē"
4512
+ ],
4513
+ [
4514
+ "ĒĀ",
4515
+ "ē"
4516
+ ],
4517
+ [
4518
+ "ę",
4519
+ "Ēĕ"
4520
+ ],
4521
+ [
4522
+ "Ğ",
4523
+ "ď"
4524
+ ],
4525
+ [
4526
+ "ĔĔĔĔ",
4527
+ "Ēĕ"
4528
+ ],
4529
+ [
4530
+ "Ĕĕ",
4531
+ "ĔĔĔĔĔĔĔĔ"
4532
+ ],
4533
+ [
4534
+ "ĔĔĔē",
4535
+ "ĔĔ"
4536
+ ],
4537
+ [
4538
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
4539
+ "ĔĔĔĔĔĔĔĔĔĔĔĔ"
4540
+ ],
4541
+ [
4542
+ "ĔĔĔĒ",
4543
+ "Ĕē"
4544
+ ],
4545
+ [
4546
+ "(",
4547
+ "ēĒ"
4548
+ ],
4549
+ [
4550
+ "Ā",
4551
+ "'"
4552
+ ],
4553
+ [
4554
+ "đ",
4555
+ "ĕđ"
4556
+ ],
4557
+ [
4558
+ "ė",
4559
+ "ēĕ"
4560
+ ],
4561
+ [
4562
+ "Ę",
4563
+ "ą"
4564
+ ],
4565
+ [
4566
+ "ě",
4567
+ "Ĉ"
4568
+ ],
4569
+ [
4570
+ "ě",
4571
+ "Ď"
4572
+ ],
4573
+ [
4574
+ "ĔĔĔĕ",
4575
+ "ĔĔĔ"
4576
+ ],
4577
+ [
4578
+ "đĒ",
4579
+ "Ě"
4580
+ ],
4581
+ [
4582
+ "ēĖ",
4583
+ "Ĕĕ"
4584
+ ],
4585
+ [
4586
+ "ĔĔĔēĔē",
4587
+ "Ĕ"
4588
+ ],
4589
+ [
4590
+ "Đ",
4591
+ "ĒĒ"
4592
+ ],
4593
+ [
4594
+ "Ė",
4595
+ "ć"
4596
+ ],
4597
+ [
4598
+ "ĔĔĔĕ",
4599
+ "ĔĒ"
4600
+ ],
4601
+ [
4602
+ "ĔĔĔĔĔē",
4603
+ "ĔĔĔĔĔĔĔĔ"
4604
+ ],
4605
+ [
4606
+ "ĕĔĔĔĔ",
4607
+ "ĔĔ"
4608
+ ],
4609
+ [
4610
+ "ēĔē",
4611
+ "ĔĔĕ"
4612
+ ],
4613
+ [
4614
+ "ĔĔĖ",
4615
+ "ĔĔē"
4616
+ ],
4617
+ [
4618
+ "ĔĔĔĔĔĔĔĕ",
4619
+ "ĔĔĔĕ"
4620
+ ],
4621
+ [
4622
+ "ĔĔĔēĔē",
4623
+ "ĔĔĔē"
4624
+ ],
4625
+ [
4626
+ "&",
4627
+ "Ā"
4628
+ ],
4629
+ [
4630
+ "ă",
4631
+ "Ē"
4632
+ ],
4633
+ [
4634
+ "ď",
4635
+ "ą"
4636
+ ],
4637
+ [
4638
+ "Ė",
4639
+ "Ě"
4640
+ ],
4641
+ [
4642
+ "Ė",
4643
+ "ĔĒ"
4644
+ ],
4645
+ [
4646
+ "Ę",
4647
+ "Ēĕ"
4648
+ ],
4649
+ [
4650
+ "ę",
4651
+ "Ą"
4652
+ ],
4653
+ [
4654
+ "ĔĔĔē",
4655
+ "ĔĖ"
4656
+ ],
4657
+ [
4658
+ "ēĒ",
4659
+ "Ĕ"
4660
+ ],
4661
+ [
4662
+ "ĔĔĖ",
4663
+ "Ĕĕ"
4664
+ ],
4665
+ [
4666
+ "'",
4667
+ "Ĉ"
4668
+ ],
4669
+ [
4670
+ "'",
4671
+ "Ď"
4672
+ ],
4673
+ [
4674
+ "Ą",
4675
+ "ē"
4676
+ ],
4677
+ [
4678
+ "Ď",
4679
+ "ā"
4680
+ ],
4681
+ [
4682
+ "Ē",
4683
+ "ĔĔē"
4684
+ ],
4685
+ [
4686
+ "ė",
4687
+ "ĝ"
4688
+ ],
4689
+ [
4690
+ "ę",
4691
+ "Đ"
4692
+ ],
4693
+ [
4694
+ "ě",
4695
+ "ć"
4696
+ ],
4697
+ [
4698
+ "ĔĔĔĔ",
4699
+ "ĕĔĔĕ"
4700
+ ],
4701
+ [
4702
+ "ĔĔĕ",
4703
+ "ĔĒ"
4704
+ ],
4705
+ [
4706
+ "ēĔĔē",
4707
+ "Ĕĕ"
4708
+ ],
4709
+ [
4710
+ "(",
4711
+ "Ĕĕ"
4712
+ ],
4713
+ [
4714
+ "Ė",
4715
+ "Ą"
4716
+ ],
4717
+ [
4718
+ "Ė",
4719
+ "ĔĖ"
4720
+ ],
4721
+ [
4722
+ "Ė",
4723
+ "ēē"
4724
+ ],
4725
+ [
4726
+ "Ę",
4727
+ "Ě"
4728
+ ],
4729
+ [
4730
+ "ĔĔĔĔ",
4731
+ "ēĔĔĔē"
4732
+ ],
4733
+ [
4734
+ "ēē",
4735
+ "ĔĔĔē"
4736
+ ],
4737
+ [
4738
+ "ĕē",
4739
+ "ēĕ"
4740
+ ],
4741
+ [
4742
+ "ĔĔĔĔĔĔĔĕ",
4743
+ "Ĕĕ"
4744
+ ],
4745
+ [
4746
+ "Ď",
4747
+ "Ğ"
4748
+ ],
4749
+ [
4750
+ "Ĕ",
4751
+ "%"
4752
+ ],
4753
+ [
4754
+ "Ĕ",
4755
+ "&"
4756
+ ],
4757
+ [
4758
+ "Ę",
4759
+ "Ĕĕ"
4760
+ ],
4761
+ [
4762
+ "Ě",
4763
+ "Ć"
4764
+ ],
4765
+ [
4766
+ "Ě",
4767
+ "Ēĕ"
4768
+ ],
4769
+ [
4770
+ "ĝ",
4771
+ "("
4772
+ ],
4773
+ [
4774
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
4775
+ "ĔĔĔĔĔĔ"
4776
+ ],
4777
+ [
4778
+ "ĕĔĔĔĔ",
4779
+ "ĔĖ"
4780
+ ],
4781
+ [
4782
+ "ĔēĔē",
4783
+ "Ĕ"
4784
+ ],
4785
+ [
4786
+ "ĕĒ",
4787
+ "Ē"
4788
+ ],
4789
+ [
4790
+ "ĕĔē",
4791
+ "Ĕĕ"
4792
+ ],
4793
+ [
4794
+ "ĔĔĔĔĔĔē",
4795
+ "ĔĔĔĔĔē"
4796
+ ],
4797
+ [
4798
+ "ĔĔĔĔĔĔĔĔĔē",
4799
+ "Ĕĕ"
4800
+ ],
4801
+ [
4802
+ "ĔĔĔĔĔĔĔĔĔĔē",
4803
+ "ĔĔĔĔĔē"
4804
+ ],
4805
+ [
4806
+ "Ā",
4807
+ "Ĝ"
4808
+ ],
4809
+ [
4810
+ "đ",
4811
+ "ēđ"
4812
+ ],
4813
+ [
4814
+ "Ė",
4815
+ "ē"
4816
+ ],
4817
+ [
4818
+ "Ę",
4819
+ "ă"
4820
+ ],
4821
+ [
4822
+ "Ĝ",
4823
+ "Ēĕ"
4824
+ ],
4825
+ [
4826
+ "ĝ",
4827
+ "Đ"
4828
+ ],
4829
+ [
4830
+ "ĔĔĔĔ",
4831
+ "ĕĔĔĔĕ"
4832
+ ],
4833
+ [
4834
+ "ēĕ",
4835
+ "ēĕ"
4836
+ ],
4837
+ [
4838
+ "ēē",
4839
+ "Đ"
4840
+ ],
4841
+ [
4842
+ "ēē",
4843
+ "Ĕ"
4844
+ ],
4845
+ [
4846
+ "ĕĕ",
4847
+ "Ĕ"
4848
+ ],
4849
+ [
4850
+ "đĒ",
4851
+ "Ĕē"
4852
+ ],
4853
+ [
4854
+ "Ĕđ",
4855
+ "ė"
4856
+ ],
4857
+ [
4858
+ "ĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔĔ",
4859
+ "ĔĔĔĔĔĔĔĔ"
4860
+ ]
4861
+ ]
4862
+ }
4863
+ }
tokenizer_config.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {},
3
+ "auto_map": {
4
+ "AutoProcessor": "processing_action_tokenizer.WaveletActionProcessor"
5
+ },
6
+ "clean_up_tokenization_spaces": false,
7
+ "extra_special_tokens": {},
8
+ "model_max_length": 1000000000000000019884624838656,
9
+ "processor_class": "WaveletActionProcessor",
10
+ "tokenizer_class": "PreTrainedTokenizerFast"
11
+ }