├── .gitattributes ├── LICENSE ├── README.md ├── data ├── 11_by_11_mult │ ├── test_bigbench.txt │ ├── train.txt │ └── valid.txt ├── 4_by_4_mult │ ├── test_bigbench.txt │ ├── train.txt │ └── valid.txt ├── 5_by_5_mult │ ├── test_bigbench.txt │ ├── train.txt │ └── valid.txt ├── 7_by_7_mult │ ├── test_bigbench.txt │ ├── train.txt │ └── valid.txt ├── 9_by_9_mult │ ├── test_bigbench.txt │ ├── train.txt │ └── valid.txt └── gsm8k │ ├── test.txt │ ├── train.txt │ └── valid.txt ├── imgs └── stepwise_internalization.png ├── logs ├── 11_by_11_mult_320_tokens_removed │ └── gpt2 │ │ └── log.generate ├── 4_by_4_mult │ └── gpt2 │ │ └── log.generate ├── 5_by_5_mult │ └── gpt2 │ │ └── log.generate ├── 7_by_7_mult │ └── gpt2 │ │ └── log.generate ├── 9_by_9_mult │ └── gpt2 │ │ └── log.generate └── gsm8k │ ├── gpt2-medium │ └── log.generate │ ├── gpt2 │ └── log.generate │ ├── mistral-7B │ └── log.generate │ └── phi3-3.8B │ └── log.generate └── src ├── configuration_model.py ├── data.py ├── generate.py ├── model.py ├── train.py └── utils.py /.gitattributes: -------------------------------------------------------------------------------- 1 | data/7_by_7_mult/train.txt filter=lfs diff=lfs merge=lfs -text 2 | data/4_by_4_mult/train.txt filter=lfs diff=lfs merge=lfs -text 3 | data/5_by_5_mult/train.txt filter=lfs diff=lfs merge=lfs -text 4 | data/9_by_9_mult/train.txt filter=lfs diff=lfs merge=lfs -text 5 | data/11_by_11_mult/train.txt filter=lfs diff=lfs merge=lfs -text 6 | data/gsm8k/train.txt filter=lfs diff=lfs merge=lfs -text 7 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2024 Yuntian Deng 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Internalize CoT Step by Step 2 | 3 | This repository contains code to reproduce the results from our paper [From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step](https://arxiv.org/pdf/2405.14838). 4 | 5 | ## Online Demos 6 | 7 | For multiplication, an online demo is available at [gpt2-multiplication](https://huggingface.co/spaces/yuntian-deng/gpt2-multiplication). The inference code and model behind this demo can be accessed in the [app.py](https://huggingface.co/spaces/yuntian-deng/gpt2-multiplication/blob/main/app.py) file. Please note that this online demo uses a slightly different data format than the one used in this repository. Specifically, it uses `=` instead of `<|endoftext|>` as the separator to ensure compatibility with standard Hugging Face transformer generation code, and the `####` symbols in the answer part are removed to provide a cleaner output. Despite these changes, the proposed approach still works effectively, demonstrating the generality of the method. Additionally, the online demo merges data with varying input digit lengths for training, allowing a single model to handle inputs of different digit counts. In contrast, the code in this repository trains one model for each number of digits for controlled experiments. 8 | 9 | For GSM8K, an online demo is available at [implicit-cot-math](https://huggingface.co/spaces/yuntian-deng/implicit-cot-math). Note that this online demo internalizes one `` token that separates the CoT from the answer (while keeping the `` token that separates the input from the CoT intact), ensuring compatibility with standard Hugging Face transformer generation code. The final accuracy remains at 52%, nearly the same as the number reported in the paper (51%). 10 | 11 | ## Prerequisites 12 | 13 | * [PyTorch](https://pytorch.org/get-started/locally/) 14 | * [transformers](https://github.com/huggingface/transformers) (`pip install transformers`) 15 | 16 | ## Data & Pretrained Models & Logs 17 | 18 | All dataset files and log files during inference are included in this repository, with the exception of large training files maintained under Git LFS. Model checkpoints are stored on Google Drive. The folder containing all model checkpoints and datasets can be found at [this link](https://drive.google.com/drive/folders/1_riWn76CiUWcc-fB6KL__PSBF5zstF1T?usp=sharing). 19 | 20 | * 4 X 4 Mult - GPT-2 (Acc: 1.00): [data](data/4_by_4_mult/) [model](https://drive.google.com/drive/folders/1cCqJmmwJA7wg0Q64f51WgASSnLVJ4ahO?usp=sharing) [log](logs/4_by_4_mult/gpt2/log.generate) 21 | * 5 X 5 Mult - GPT-2 (Acc: 1.00): [data](data/5_by_5_mult/) [model](https://drive.google.com/drive/folders/1r80h5rLgAa1NpAzIknuvHB92nDT2j0Hz?usp=sharing) [log](logs/5_by_5_mult/gpt2/log.generate) 22 | * 7 X 7 Mult - GPT-2 (Acc: 0.95): [data](data/7_by_7_mult/) [model](https://drive.google.com/drive/folders/1a8jbCV9d9o243qqsxKvgnwDVT27PfJry?usp=sharing) [log](logs/7_by_7_mult/gpt2/log.generate) 23 | * 9 X 9 Mult - GPT-2 (Acc: 0.99): [data](data/9_by_9_mult/) [model](https://drive.google.com/drive/folders/1WQn00xYt_fuFaw-hsl9u-QavmBn8NUaD?usp=sharing) [log](logs/9_by_9_mult/gpt2/log.generate) 24 | * 11 X 11 Mult - GPT-2 (Acc: 0.74): [data](data/11_by_11_mult/) [model](https://drive.google.com/drive/folders/1JuHal52yxN0oO0Q_FMhjp6Enr54wAVy6?usp=sharing) (partially internalized) [log](logs/11_by_11_mult_320_tokens_removed/gpt2/log.generate) 25 | * GSM8K - GPT-2 (Acc: 0.30): [data](data/gsm8k/) [model](https://drive.google.com/drive/folders/1IUQ26DNqDrX0mfTSm19gqG5k1FxLZsr2?usp=sharing) [log](logs/gsm8k/gpt2/log.generate) 26 | * GSM8K - GPT-2 Medium (Acc: 0.35): [data](data/gsm8k/) [model](https://drive.google.com/drive/folders/1-mJ8h9O8ztx0iWJxtgcP4LEJlxj6Cyln?usp=sharing) [log](logs/gsm8k/gpt2-medium/log.generate) 27 | * GSM8K - Phi-3 3.8B (Acc: 0.31): [data](data/gsm8k/) [model](https://drive.google.com/drive/folders/1Jm1sk62WhDX2exiQmRKI53aW5jKXAZE9?usp=sharing) [log](logs/gsm8k/phi3-3.8B/log.generate) 28 | * GSM8K - Mistral 7B (Acc: 0.51): [data](data/gsm8k/) [model](https://drive.google.com/drive/folders/1azfzWxf2jy1H7XAe-dAhtYFTPuh7tfmd?usp=sharing) [log](logs/gsm8k/mistral-7B/log.generate) 29 | 30 | ## Additional Datasets 31 | 32 | We have included more multiplication datasets than those used in the paper to encourage future research that might yield even better results. The folder containing all datasets can be found at [this link](https://drive.google.com/drive/folders/1dbQYoZNhu4h7aQzp6b6s3CUOd2pMX0sB?usp=sharing). 33 | 34 | * 6 X 6 Mult: [data](https://drive.google.com/drive/folders/1FkGl3r4nxJZfbmh_cfNIrdC6GVFqeE_N?usp=sharing) 35 | * 8 X 8 Mult: [data](https://drive.google.com/drive/folders/1F_k292AiCTSSHyLSejQYhApdnQzs57F7?usp=sharing) 36 | * 10 X 10 Mult: [data](https://drive.google.com/drive/folders/15CDOwZIHioEmgno8XlJ1xHqvAtyorBz_?usp=sharing) 37 | * 12 X 12 Mult: [data](https://drive.google.com/drive/folders/1WBwVezO4IdtQAsndebprjiBHq7qiCwFH?usp=sharing) 38 | * 13 X 13 Mult: [data](https://drive.google.com/drive/folders/1XLBOxh-wQZFXMZn5CDuHnj4fmhA0iV4M?usp=sharing) 39 | * 14 X 14 Mult: [data](https://drive.google.com/drive/folders/1mmZH03btFnUFg94rGs5OdUA6Usajb8rq?usp=sharing) 40 | * 15 X 15 Mult: [data](https://drive.google.com/drive/folders/1jw4lTvzoGhnFIec5QCsukKK14_sUWE9w?usp=sharing) 41 | * 16 X 16 Mult: [data](https://drive.google.com/drive/folders/1V8dl6mOfgsdTvraY7S7ypx8fQ76a4aAr?usp=sharing) 42 | * 17 X 17 Mult: [data](https://drive.google.com/drive/folders/1-tepTXJqjJcFbzPrpSI12_lhMTHOEn2T?usp=sharing) 43 | * 18 X 18 Mult: [data](https://drive.google.com/drive/folders/1vc3aCAz7ypv2G2RgpSjKQRVqew0kxe8Q?usp=sharing) 44 | * 19 X 19 Mult: [data](https://drive.google.com/drive/folders/1lL88kkGBI6umMVMs7LB0xw6CHvifcSFF?usp=sharing) 45 | * 20 X 20 Mult: [data](https://drive.google.com/drive/folders/1dRav5OysRX2L-nOpgYpi0fOpDEbgtU_f?usp=sharing) 46 | 47 | ## Usage 48 | 49 | We use 9 X 9 Mult with GPT-2 as an example. We assume that the working directory is `Internalize_CoT_Step_by_Step` throughout this document. 50 | 51 | ### Data Format 52 | 53 | The format of training, validation, and test files is as follows: 54 | 55 | ``` 56 | [input 1]||[chain-of-thought 1] #### [output 1] 57 | [input 2]||[chain-of-thought 2] #### [output 3] 58 | [input 3]||[chain-of-thought 2] #### [output 3] 59 | ... 60 | ``` 61 | 62 | For example, the first line from the 4 X 4 Mult test set in [data/4_by_4_mult/test_bigbench.txt](data/4_by_4_mult/test_bigbench.txt) is: 63 | 64 | ``` 65 | 9 1 7 3 * 9 4 3 3||1 7 4 3 3 + 0 6 7 8 4 1 ( 1 3 2 2 8 1 ) + 0 0 7 5 1 1 1 ( 1 3 9 7 9 2 1 ) + 0 0 0 7 5 1 1 1 #### 1 3 9 4 5 4 2 1 66 | ``` 67 | 68 | In this example, the input is `9 1 7 3 * 9 4 3 3` (corresponding to `3719*3349`, note that we reversed the digits), the chain-of-thought is `1 7 4 3 3 + 0 6 7 8 4 1 ( 1 3 2 2 8 1 ) + 0 0 7 5 1 1 1 ( 1 3 9 7 9 2 1 ) + 0 0 0 7 5 1 1 1`, and the output is `1 3 9 4 5 4 2 1` (corresponding to `12454931`). 69 | 70 | Note that the chain-of-thought steps are only used for training, not for generation. 71 | 72 | ### Training 73 | 74 | ![](imgs/stepwise_internalization.png) 75 | 76 | To train the model, run the following commands. The example uses 9 X 9 Mult with GPT-2: 77 | 78 | ``` 79 | export D=9 80 | export FOLDER=data/${D}_by_${D}_mult/ 81 | export MODEL=gpt2 82 | export EPOCHS=200 83 | export LR=5e-5 84 | export BSZ=32 85 | export ACCUMULATE=1 86 | export REMOVE_PER_EPOCH=8 87 | export REMOVE_ALL_WHEN_REMOVE_BEYOND=inf 88 | export REMOVAL_SMOOTHING_LAMBDA=4 89 | export REMOVAL_SIDE=left 90 | export PRETRAIN_EPOCHS=0 91 | export SEED=3456 92 | export SAVE=train_models/${D}_by_${D}_mult/gpt2 93 | mkdir -p $SAVE 94 | TOKENIZERS_PARALLELISM=false CUDA_VISIBLE_DEVICES=0 stdbuf -oL -eL python src/train.py \ 95 | --model ${MODEL} \ 96 | --train_path ${FOLDER}/train.txt \ 97 | --val_path ${FOLDER}/valid.txt \ 98 | --epochs ${EPOCHS} \ 99 | --lr ${LR} \ 100 | --batch_size ${BSZ} \ 101 | --accumulate ${ACCUMULATE} \ 102 | --remove_per_epoch ${REMOVE_PER_EPOCH} \ 103 | --remove_all_when_remove_beyond ${REMOVE_ALL_WHEN_REMOVE_BEYOND} \ 104 | --removal_smoothing_lambda ${REMOVAL_SMOOTHING_LAMBDA} \ 105 | --removal_side ${REMOVAL_SIDE} \ 106 | --pretrain_epochs ${PRETRAIN_EPOCHS} \ 107 | --seed ${SEED} \ 108 | --reset_optimizer \ 109 | --save_model ${SAVE} \ 110 | > ${SAVE}/log.train 2>&1 111 | ``` 112 | 113 | ### Generation & Evaluation 114 | 115 | Here we use a pretrained model as an example. Download the folder `models/9_by_9_mult/gpt2`, then the following command will run inference and evaluate both accuracy and throughput, logged in file `generation_logs/9_by_9_mult/log.generate`. 116 | 117 | ``` 118 | export D=9 119 | export FOLDER=data/${D}_by_${D}_mult/ 120 | export MODEL=models/${D}_by_${D}_mult/gpt2 121 | export BSZ=1 122 | export SAVE=generation_logs/${D}_by_${D}_mult/gpt2 123 | mkdir -p $SAVE 124 | TOKENIZERS_PARALLELISM=false CUDA_VISIBLE_DEVICES=0 stdbuf -oL -eL python src/generate.py \ 125 | --from_pretrained ${MODEL} \ 126 | --test_path ${FOLDER}/test_bigbench.txt \ 127 | --batch_size ${BSZ} \ 128 | > ${SAVE}/log.generate 2>&1& 129 | ``` 130 | 131 | ### Command for GSM8K 132 | 133 | ``` 134 | export FOLDER=data/gsm8k 135 | export MODEL=mistralai/Mistral-7B-v0.1 136 | export EPOCHS=80 137 | export LR=1e-5 138 | export BSZ=16 139 | export ACCUMULATE=2 140 | export REMOVE_PER_EPOCH=8 141 | export REMOVE_ALL_WHEN_REMOVE_BEYOND=39 142 | export MAX_LEN_TRAIN=150 143 | export REMOVAL_SMOOTHING_LAMBDA=4 144 | export REMOVAL_SIDE=left 145 | export PRETRAIN_EPOCHS=0 146 | export SEED=1234 147 | export SAVE=train_models/gsm8k 148 | mkdir -p $SAVE 149 | TOKENIZERS_PARALLELISM=false CUDA_VISIBLE_DEVICES=0 stdbuf -oL -eL python src/train.py \ 150 | --model ${MODEL} \ 151 | --train_path ${FOLDER}/train.txt \ 152 | --val_path ${FOLDER}/valid.txt \ 153 | --epochs ${EPOCHS} \ 154 | --lr ${LR} \ 155 | --batch_size ${BSZ} \ 156 | --accumulate ${ACCUMULATE} \ 157 | --remove_per_epoch ${REMOVE_PER_EPOCH} \ 158 | --remove_all_when_remove_beyond ${REMOVE_ALL_WHEN_REMOVE_BEYOND} \ 159 | --removal_smoothing_lambda ${REMOVAL_SMOOTHING_LAMBDA} \ 160 | --removal_side ${REMOVAL_SIDE} \ 161 | --pretrain_epochs ${PRETRAIN_EPOCHS} \ 162 | --seed ${SEED} \ 163 | --reset_optimizer \ 164 | --bf16 \ 165 | --max_len_train ${MAX_LEN_TRAIN} \ 166 | --save_model ${SAVE} \ 167 | > ${SAVE}/log.train 2>&1 168 | ``` 169 | -------------------------------------------------------------------------------- /data/11_by_11_mult/train.txt: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:20aa383caa7f576d0fe1bcb93e3f88ce5ead9886cd8a4075b3037e119680e66e 3 | size 672256000 4 | -------------------------------------------------------------------------------- /data/4_by_4_mult/train.txt: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:9857d1bba98bafb54da6977d98255656c8bddaa96dae69a4fe67a14eafdeb9fe 3 | size 106656000 4 | -------------------------------------------------------------------------------- /data/4_by_4_mult/valid.txt: -------------------------------------------------------------------------------- 1 | 5 6 3 2 * 7 4 3 4||5 5 5 6 1 + 0 0 6 4 9 0 ( 5 5 1 1 1 1 ) + 0 0 5 9 0 7 0 ( 5 5 6 0 2 8 0 ) + 0 0 0 0 6 4 9 0 #### 5 5 6 0 8 2 0 1 2 | 6 9 1 5 * 6 4 4 7||6 7 1 1 3 + 0 4 8 7 0 2 ( 6 1 0 9 3 2 ) + 0 0 4 8 7 0 2 ( 6 1 4 7 1 3 2 ) + 0 0 0 2 7 3 6 3 #### 6 1 4 9 8 6 8 3 3 | 6 7 3 9 * 8 9 1 7||8 0 0 5 7 + 0 4 8 3 4 8 ( 8 4 8 8 1 9 ) + 0 0 6 7 3 9 0 ( 8 4 4 6 5 8 1 ) + 0 0 0 2 3 6 5 6 #### 8 4 4 8 8 4 7 6 4 | 3 0 3 4 * 3 4 6 5||9 0 9 2 1 + 0 2 1 2 7 1 ( 9 2 0 5 8 1 ) + 0 0 8 1 8 5 2 ( 9 2 8 6 6 7 2 ) + 0 0 0 5 1 5 1 2 #### 9 2 8 1 8 2 4 2 5 | 0 3 3 7 * 8 5 6 5||0 4 6 8 5 + 0 0 5 6 6 3 ( 0 4 1 5 2 4 ) + 0 0 0 8 9 3 4 ( 0 4 1 3 2 8 4 ) + 0 0 0 0 5 6 6 3 #### 0 4 1 3 7 4 1 4 6 | 3 6 0 6 * 4 3 8 7||2 5 2 4 2 + 0 9 8 1 8 1 ( 2 4 1 6 0 2 ) + 0 0 4 0 5 8 4 ( 2 4 5 6 5 0 5 ) + 0 0 0 1 4 4 2 4 #### 2 4 5 7 9 4 7 4 7 | 4 7 8 4 * 2 9 1 6||8 4 7 9 0 + 0 6 6 8 3 4 ( 8 0 4 8 4 4 ) + 0 0 4 7 8 4 0 ( 8 0 8 5 3 9 0 ) + 0 0 0 4 4 2 9 2 #### 8 0 8 9 7 1 0 3 8 | 2 9 6 1 * 0 5 1 9||0 0 0 0 0 + 0 0 6 4 8 0 ( 0 0 6 4 8 0 ) + 0 0 2 9 6 1 0 ( 0 0 8 3 5 2 0 ) + 0 0 0 8 2 2 5 1 #### 0 0 8 1 8 4 5 1 9 | 1 1 5 4 * 5 6 0 5||5 5 5 2 2 + 0 6 6 0 7 2 ( 5 1 2 3 9 2 ) + 0 0 0 0 0 0 0 ( 5 1 2 3 9 2 0 ) + 0 0 0 5 5 5 2 2 #### 5 1 2 8 4 8 2 2 10 | 3 9 9 3 * 0 9 3 3||0 0 0 0 0 + 0 7 3 9 5 3 ( 0 7 3 9 5 3 ) + 0 0 9 7 9 1 1 ( 0 7 2 7 5 5 1 ) + 0 0 0 9 7 9 1 1 #### 0 7 2 6 3 5 3 1 11 | 5 6 8 3 * 1 4 9 7||5 6 8 3 0 + 0 0 6 4 5 1 ( 5 6 4 8 5 1 ) + 0 0 5 8 7 4 3 ( 5 6 9 6 3 6 3 ) + 0 0 0 5 5 0 7 2 #### 5 6 9 1 9 6 0 3 12 | 3 7 7 6 * 8 5 5 2||4 8 1 4 5 + 0 5 6 8 3 3 ( 4 3 8 2 9 3 ) + 0 0 5 6 8 3 3 ( 4 3 3 9 7 7 3 ) + 0 0 0 6 4 5 3 1 #### 4 3 3 5 2 3 7 1 13 | 1 6 4 2 * 4 9 8 2||4 4 8 9 0 + 0 9 4 1 2 2 ( 4 3 3 1 3 2 ) + 0 0 8 8 6 9 1 ( 4 3 1 0 0 2 2 ) + 0 0 0 2 2 9 4 0 #### 4 3 1 2 2 1 7 0 14 | 6 7 2 6 * 6 7 2 1||6 5 6 7 3 + 0 2 3 9 3 4 ( 6 7 9 6 7 4 ) + 0 0 2 5 5 2 1 ( 6 7 1 2 3 7 1 ) + 0 0 0 6 7 2 6 0 #### 6 7 1 8 0 0 8 0 15 | 0 6 6 5 * 2 5 6 2||0 2 3 1 1 + 0 0 0 3 8 2 ( 0 2 3 4 9 2 ) + 0 0 0 6 9 3 3 ( 0 2 3 0 9 6 3 ) + 0 0 0 0 2 3 1 1 #### 0 2 3 0 1 0 5 1 16 | 8 0 1 9 * 2 6 2 9||6 1 2 8 1 + 0 8 4 6 4 5 ( 6 9 6 4 6 5 ) + 0 0 6 1 2 8 1 ( 6 9 2 6 8 3 2 ) + 0 0 0 2 7 9 1 8 #### 6 9 2 8 5 3 4 8 17 | 8 2 5 7 * 2 1 3 8||6 5 0 5 1 + 0 8 2 5 7 0 ( 6 3 3 0 9 0 ) + 0 0 4 8 5 2 2 ( 6 3 7 8 4 3 2 ) + 0 0 0 4 2 2 0 6 #### 6 3 7 2 7 5 2 6 18 | 2 7 4 2 * 7 1 4 9||4 0 3 7 1 + 0 2 7 4 2 0 ( 4 2 0 2 4 0 ) + 0 0 8 8 8 9 0 ( 4 2 8 0 3 0 1 ) + 0 0 0 8 4 2 2 2 #### 4 2 8 8 7 2 3 2 19 | 2 1 2 1 * 7 3 1 2||4 8 4 8 0 + 0 6 3 6 3 0 ( 4 4 8 4 4 0 ) + 0 0 2 1 2 1 0 ( 4 4 0 6 6 1 0 ) + 0 0 0 4 2 4 2 0 #### 4 4 0 0 9 5 2 0 20 | 7 5 5 5 * 8 4 9 4||6 5 4 4 4 + 0 8 2 2 2 2 ( 6 3 7 6 6 2 ) + 0 0 3 1 0 0 5 ( 6 3 0 8 6 2 5 ) + 0 0 0 8 2 2 2 2 #### 6 3 0 6 9 4 7 2 21 | 0 3 8 7 * 8 2 5 9||0 4 6 2 6 + 0 0 6 6 5 1 ( 0 4 2 9 1 2 ) + 0 0 0 5 1 9 3 ( 0 4 2 4 3 1 4 ) + 0 0 0 0 7 4 0 7 #### 0 4 2 4 0 6 4 7 22 | 8 1 7 8 * 4 1 3 7||2 7 8 4 3 + 0 8 1 7 8 0 ( 2 5 0 2 2 1 ) + 0 0 4 5 1 6 2 ( 2 5 4 7 3 7 2 ) + 0 0 0 6 2 0 1 6 #### 2 5 4 3 6 7 3 6 23 | 8 1 0 2 * 0 1 7 9||0 0 0 0 0 + 0 8 1 0 2 0 ( 0 8 1 0 2 0 ) + 0 0 6 2 1 4 1 ( 0 8 7 2 3 4 1 ) + 0 0 0 2 6 1 8 1 #### 0 8 7 4 9 5 9 1 24 | 1 0 3 3 * 8 1 6 2||8 0 4 6 2 + 0 1 0 3 3 0 ( 8 1 4 9 5 0 ) + 0 0 6 0 8 9 1 ( 8 1 0 0 4 0 2 ) + 0 0 0 2 0 6 6 0 #### 8 1 0 2 4 6 8 0 25 | 3 7 3 7 * 5 9 1 1||5 6 8 6 3 + 0 7 5 3 6 6 ( 5 3 4 0 0 7 ) + 0 0 3 7 3 7 0 ( 5 3 7 7 3 4 1 ) + 0 0 0 3 7 3 7 0 #### 5 3 7 0 1 8 8 0 26 | 4 9 5 7 * 0 6 3 6||0 0 0 0 0 + 0 4 6 5 5 4 ( 0 4 6 5 5 4 ) + 0 0 2 8 7 2 2 ( 0 4 8 3 3 7 2 ) + 0 0 0 4 6 5 5 4 #### 0 4 8 7 9 2 8 4 27 | 7 0 1 9 * 4 8 4 1||8 2 4 6 3 + 0 6 5 8 2 7 ( 8 8 9 4 6 7 ) + 0 0 8 2 4 6 3 ( 8 8 7 7 0 4 4 ) + 0 0 0 7 0 1 9 0 #### 8 8 7 4 1 5 3 1 28 | 9 9 4 5 * 8 3 0 9||2 9 9 3 4 + 0 7 9 4 6 1 ( 2 6 9 8 0 2 ) + 0 0 0 0 0 0 0 ( 2 6 9 8 0 2 0 ) + 0 0 0 1 9 4 9 4 #### 2 6 9 9 9 6 9 4 29 | 2 5 0 7 * 3 0 0 1||6 5 1 1 2 + 0 0 0 0 0 0 ( 6 5 1 1 2 0 ) + 0 0 0 0 0 0 0 ( 6 5 1 1 2 0 0 ) + 0 0 0 2 5 0 7 0 #### 6 5 1 3 7 0 7 0 30 | 4 2 2 1 * 1 0 7 1||4 2 2 1 0 + 0 0 0 0 0 0 ( 4 2 2 1 0 0 ) + 0 0 8 6 5 8 0 ( 4 2 0 8 5 8 0 ) + 0 0 0 4 2 2 1 0 #### 4 2 0 2 8 0 2 0 31 | 2 4 9 6 * 0 8 3 4||0 0 0 0 0 + 0 6 3 5 5 5 ( 0 6 3 5 5 5 ) + 0 0 6 2 8 0 2 ( 0 6 9 7 3 6 2 ) + 0 0 0 8 6 7 7 2 #### 0 6 9 5 0 4 0 3 32 | 1 3 7 9 * 0 3 0 2||0 0 0 0 0 + 0 3 9 1 9 2 ( 0 3 9 1 9 2 ) + 0 0 0 0 0 0 0 ( 0 3 9 1 9 2 0 ) + 0 0 0 2 6 4 9 1 #### 0 3 9 3 5 7 9 1 33 | 1 5 6 5 * 9 6 4 1||9 5 8 0 5 + 0 6 0 9 3 3 ( 9 1 9 9 8 3 ) + 0 0 4 0 6 2 2 ( 9 1 3 0 5 6 2 ) + 0 0 0 1 5 6 5 0 #### 9 1 3 1 0 3 8 0 34 | 2 4 0 4 * 1 3 6 2||2 4 0 4 0 + 0 6 2 1 2 1 ( 2 0 3 5 2 1 ) + 0 0 2 5 2 4 2 ( 2 0 5 0 5 5 2 ) + 0 0 0 4 8 0 8 0 #### 2 0 5 4 3 6 0 1 35 | 0 8 1 9 * 2 0 9 6||0 6 3 8 1 + 0 0 0 0 0 0 ( 0 6 3 8 1 0 ) + 0 0 0 2 6 2 8 ( 0 6 3 0 8 2 8 ) + 0 0 0 0 8 0 5 5 #### 0 6 3 0 6 3 3 6 36 | 3 6 3 7 * 5 0 9 3||5 1 8 6 3 + 0 0 0 0 0 0 ( 5 1 8 6 3 0 ) + 0 0 7 6 2 6 6 ( 5 1 5 3 6 6 6 ) + 0 0 0 9 8 0 2 2 #### 5 1 5 2 5 7 8 2 37 | 4 0 2 3 * 0 0 7 5||0 0 0 0 0 + 0 0 0 0 0 0 ( 0 0 0 0 0 0 ) + 0 0 8 2 4 2 2 ( 0 0 8 2 4 2 2 ) + 0 0 0 0 2 0 6 1 #### 0 0 8 2 6 2 8 1 38 | 2 6 9 5 * 9 3 4 3||8 5 6 3 5 + 0 6 8 8 7 1 ( 8 1 5 2 3 2 ) + 0 0 8 4 8 3 2 ( 8 1 3 7 1 6 2 ) + 0 0 0 6 8 8 7 1 #### 8 1 3 3 0 5 0 2 39 | 9 1 8 2 * 8 8 3 8||2 5 5 2 2 + 0 2 5 5 2 2 ( 2 7 0 8 4 2 ) + 0 0 7 5 4 8 0 ( 2 7 7 3 9 0 1 ) + 0 0 0 2 5 5 2 2 #### 2 7 7 5 4 6 3 2 40 | 4 6 2 3 * 5 8 2 4||0 2 3 6 1 + 0 2 1 1 6 2 ( 0 4 4 7 7 2 ) + 0 0 8 2 5 6 0 ( 0 4 2 0 3 9 0 ) + 0 0 0 6 5 0 3 1 #### 0 4 2 6 8 9 3 1 41 | 4 1 9 4 * 3 7 4 8||2 4 7 4 1 + 0 8 9 3 4 3 ( 2 2 7 8 5 3 ) + 0 0 6 5 6 9 1 ( 2 2 3 4 2 3 2 ) + 0 0 0 2 1 3 9 3 #### 2 2 3 6 3 6 1 4 42 | 7 5 3 8 * 2 1 6 8||4 1 7 6 1 + 0 7 5 3 8 0 ( 4 8 2 0 0 1 ) + 0 0 2 4 1 0 5 ( 4 8 4 4 1 1 5 ) + 0 0 0 6 5 8 6 6 #### 4 8 4 0 7 9 1 7 43 | 9 9 1 2 * 9 0 1 7||1 9 7 9 1 + 0 0 0 0 0 0 ( 1 9 7 9 1 0 ) + 0 0 9 9 1 2 0 ( 1 9 6 9 3 2 0 ) + 0 0 0 3 9 3 5 1 #### 1 9 6 2 3 6 5 1 44 | 1 9 8 2 * 4 4 5 9||4 6 5 1 1 + 0 4 6 5 1 1 ( 4 0 2 7 2 1 ) + 0 0 5 5 4 4 1 ( 4 0 7 2 7 5 1 ) + 0 0 0 9 1 0 6 2 #### 4 0 7 1 9 5 7 2 45 | 0 5 8 8 * 8 0 9 6||0 0 8 0 7 + 0 0 0 0 0 0 ( 0 0 8 0 7 0 ) + 0 0 0 5 6 9 7 ( 0 0 8 5 3 0 8 ) + 0 0 0 0 0 1 3 5 #### 0 0 8 5 3 1 1 6 46 | 5 1 7 3 * 0 5 7 8||0 0 0 0 0 + 0 5 7 5 8 1 ( 0 5 7 5 8 1 ) + 0 0 5 0 0 6 2 ( 0 5 2 6 8 7 2 ) + 0 0 0 0 2 7 9 2 #### 0 5 2 6 0 5 2 3 47 | 8 1 2 7 * 4 8 1 2||2 7 8 8 2 + 0 4 4 7 7 5 ( 2 1 3 6 0 6 ) + 0 0 8 1 2 7 0 ( 2 1 1 8 2 3 1 ) + 0 0 0 6 3 4 4 1 #### 2 1 1 4 6 7 5 1 48 | 8 2 6 8 * 3 1 3 3||4 8 8 5 2 + 0 8 2 6 8 0 ( 4 6 1 2 1 1 ) + 0 0 4 8 8 5 2 ( 4 6 5 0 0 7 2 ) + 0 0 0 4 8 8 5 2 #### 4 6 5 4 8 5 8 2 49 | 3 8 2 9 * 8 2 1 6||4 6 2 4 7 + 0 6 6 5 8 1 ( 4 2 9 9 5 2 ) + 0 0 3 8 2 9 0 ( 4 2 2 8 8 1 1 ) + 0 0 0 8 9 6 5 5 #### 4 2 2 6 8 8 6 5 50 | 2 7 4 1 * 6 6 0 6||2 3 8 8 0 + 0 2 3 8 8 0 ( 2 5 1 7 9 0 ) + 0 0 0 0 0 0 0 ( 2 5 1 7 9 0 0 ) + 0 0 0 2 3 8 8 0 #### 2 5 1 9 2 9 8 0 51 | 5 8 2 5 * 3 7 8 2||5 5 8 5 1 + 0 5 9 9 6 3 ( 5 0 8 5 8 3 ) + 0 0 0 8 2 2 4 ( 5 0 8 3 1 6 4 ) + 0 0 0 0 7 5 0 1 #### 5 0 8 3 8 1 5 1 52 | 9 1 6 6 * 6 6 7 9||4 1 7 9 3 + 0 4 1 7 9 3 ( 4 5 8 6 3 4 ) + 0 0 3 3 3 6 4 ( 4 5 1 0 7 0 5 ) + 0 0 0 1 7 5 9 5 #### 4 5 1 1 4 6 4 6 53 | 8 7 6 2 * 9 9 3 9||2 0 1 4 2 + 0 2 0 1 4 2 ( 2 2 1 5 6 2 ) + 0 0 4 3 0 8 0 ( 2 2 5 8 6 0 1 ) + 0 0 0 2 0 1 4 2 #### 2 2 5 0 7 1 5 2 54 | 4 3 5 3 * 5 7 2 5||0 7 6 7 1 + 0 8 3 7 4 2 ( 0 5 0 5 6 2 ) + 0 0 8 6 0 7 0 ( 0 5 8 1 7 9 0 ) + 0 0 0 0 7 6 7 1 #### 0 5 8 1 4 6 8 1 55 | 8 6 5 4 * 6 5 8 9||8 0 4 7 2 + 0 0 4 8 2 2 ( 8 0 8 5 5 2 ) + 0 0 4 4 5 6 3 ( 8 0 2 0 1 9 3 ) + 0 0 0 2 1 1 1 4 #### 8 0 2 2 2 0 5 4 56 | 2 4 6 6 * 5 1 1 7||0 1 2 3 3 + 0 2 4 6 6 0 ( 0 3 6 9 9 0 ) + 0 0 2 4 6 6 0 ( 0 3 8 3 6 7 0 ) + 0 0 0 4 9 4 6 4 #### 0 3 8 7 5 2 7 4 57 | 6 3 2 2 * 6 3 9 4||6 1 4 3 1 + 0 8 0 7 6 0 ( 6 9 4 0 8 0 ) + 0 0 4 2 1 0 2 ( 6 9 8 2 9 0 2 ) + 0 0 0 4 4 9 8 0 #### 6 9 8 6 3 0 1 1 58 | 8 4 4 8 * 1 9 6 2||8 4 4 8 0 + 0 2 3 0 6 7 ( 8 6 7 8 6 7 ) + 0 0 8 8 6 0 5 ( 8 6 5 7 3 8 5 ) + 0 0 0 6 9 8 6 1 #### 8 6 5 3 3 7 2 2 59 | 5 1 9 8 * 9 7 9 7||5 3 2 0 8 + 0 5 0 4 2 6 ( 5 8 2 4 0 7 ) + 0 0 5 3 2 0 8 ( 5 8 7 7 2 7 8 ) + 0 0 0 5 0 4 2 6 #### 5 8 7 2 3 1 1 7 60 | 3 8 2 1 * 6 7 6 7||8 9 6 7 0 + 0 1 8 9 8 0 ( 8 0 5 7 9 0 ) + 0 0 8 9 6 7 0 ( 8 0 3 7 6 8 0 ) + 0 0 0 1 8 9 8 0 #### 8 0 3 8 4 8 9 0 61 | 8 4 4 1 * 1 0 0 5||8 4 4 1 0 + 0 0 0 0 0 0 ( 8 4 4 1 0 0 ) + 0 0 0 0 0 0 0 ( 8 4 4 1 0 0 0 ) + 0 0 0 0 4 2 7 0 #### 8 4 4 1 4 2 7 0 62 | 7 3 8 3 * 0 3 7 9||0 0 0 0 0 + 0 1 1 5 1 1 ( 0 1 1 5 1 1 ) + 0 0 9 5 8 6 2 ( 0 1 0 1 0 8 2 ) + 0 0 0 3 3 5 4 3 #### 0 1 0 4 3 3 7 3 63 | 4 5 7 9 * 0 7 6 7||0 0 0 0 0 + 0 8 7 2 8 6 ( 0 8 7 2 8 6 ) + 0 0 4 2 5 8 5 ( 0 8 1 5 3 5 6 ) + 0 0 0 8 7 2 8 6 #### 0 8 1 3 1 8 4 7 64 | 8 3 6 8 * 9 6 4 2||2 4 7 7 7 + 0 8 2 8 1 5 ( 2 2 0 6 9 5 ) + 0 0 2 5 5 4 3 ( 2 2 2 1 5 0 4 ) + 0 0 0 6 7 2 7 1 #### 2 2 2 7 2 3 1 2 65 | 8 5 4 1 * 3 9 6 6||4 7 3 4 0 + 0 2 2 1 3 1 ( 4 9 5 5 3 1 ) + 0 0 8 4 7 8 0 ( 4 9 3 0 1 0 1 ) + 0 0 0 8 4 7 8 0 #### 4 9 3 8 5 7 9 0 66 | 2 9 6 2 * 9 0 6 3||8 2 2 4 2 + 0 0 0 0 0 0 ( 8 2 2 4 2 0 ) + 0 0 2 5 1 6 1 ( 8 2 4 9 3 6 1 ) + 0 0 0 6 7 0 8 0 #### 8 2 4 5 1 7 9 0 67 | 7 3 7 1 * 7 6 4 3||9 5 1 2 1 + 0 2 2 4 0 1 ( 9 7 3 6 1 1 ) + 0 0 8 4 9 6 0 ( 9 7 1 1 1 8 0 ) + 0 0 0 1 1 2 5 0 #### 9 7 1 2 2 0 6 0 68 | 5 7 1 6 * 7 1 9 8||5 2 2 3 4 + 0 5 7 1 6 0 ( 5 7 9 4 0 1 ) + 0 0 5 7 5 5 5 ( 5 7 4 2 6 6 5 ) + 0 0 0 0 0 4 9 4 #### 5 7 4 2 6 0 5 5 69 | 2 0 0 6 * 8 3 0 3||6 1 0 8 4 + 0 6 0 0 8 1 ( 6 7 0 8 2 2 ) + 0 0 0 0 0 0 0 ( 6 7 0 8 2 2 0 ) + 0 0 0 6 0 0 8 1 #### 6 7 0 4 3 2 8 1 70 | 2 8 5 1 * 7 7 5 6||4 7 0 1 1 + 0 4 7 0 1 1 ( 4 1 8 1 2 1 ) + 0 0 0 1 9 7 0 ( 4 1 8 2 1 9 0 ) + 0 0 0 2 9 4 9 0 #### 4 1 8 4 0 4 0 1 71 | 8 6 8 7 * 5 3 5 7||0 4 3 9 3 + 0 4 0 6 3 2 ( 0 8 3 5 7 2 ) + 0 0 0 4 3 9 3 ( 0 8 3 9 0 2 4 ) + 0 0 0 6 7 0 5 5 #### 0 8 3 5 8 2 9 5 72 | 5 4 6 5 * 5 3 7 1||5 2 2 8 2 + 0 5 3 9 6 1 ( 5 7 5 7 9 1 ) + 0 0 5 1 5 9 3 ( 5 7 0 9 4 1 4 ) + 0 0 0 5 4 6 5 0 #### 5 7 0 4 9 7 9 0 73 | 8 3 1 6 * 8 6 7 6||4 0 1 9 4 + 0 8 2 8 6 3 ( 4 8 3 7 1 4 ) + 0 0 6 6 9 2 4 ( 4 8 9 3 1 7 4 ) + 0 0 0 8 2 8 6 3 #### 4 8 9 1 4 5 1 4 74 | 6 7 5 2 * 4 1 9 2||4 0 3 0 1 + 0 6 7 5 2 0 ( 4 6 0 6 3 0 ) + 0 0 4 8 1 3 2 ( 4 6 4 4 5 3 2 ) + 0 0 0 2 5 1 5 0 #### 4 6 4 6 0 5 7 0 75 | 2 2 6 3 * 1 4 4 9||2 2 6 3 0 + 0 8 8 4 4 1 ( 2 0 5 8 4 1 ) + 0 0 8 8 4 4 1 ( 2 0 3 7 9 5 1 ) + 0 0 0 8 9 5 2 3 #### 2 0 3 5 9 1 4 3 76 | 1 4 5 3 * 9 9 1 8||9 6 8 1 3 + 0 9 6 8 1 3 ( 9 5 5 0 5 3 ) + 0 0 1 4 5 3 0 ( 9 5 6 4 0 7 0 ) + 0 0 0 8 2 3 8 2 #### 9 5 6 2 3 0 9 2 77 | 7 6 9 2 * 0 7 8 2||0 0 0 0 0 + 0 9 6 7 0 2 ( 0 9 6 7 0 2 ) + 0 0 6 3 7 3 2 ( 0 9 2 1 8 5 2 ) + 0 0 0 4 3 9 5 0 #### 0 9 2 5 1 5 8 0 78 | 3 5 5 4 * 0 8 4 7||0 0 0 0 0 + 0 4 2 4 6 3 ( 0 4 2 4 6 3 ) + 0 0 2 1 2 8 1 ( 0 4 4 5 8 1 2 ) + 0 0 0 1 7 8 1 3 #### 0 4 4 6 5 0 4 3 79 | 5 2 2 8 * 4 6 7 1||0 0 9 2 3 + 0 0 5 3 9 4 ( 0 0 4 6 2 5 ) + 0 0 5 7 5 7 5 ( 0 0 9 3 8 2 6 ) + 0 0 0 5 2 2 8 0 #### 0 0 9 8 0 5 4 1 80 | 0 5 5 6 * 4 1 4 4||0 0 2 6 2 + 0 0 5 5 6 0 ( 0 0 7 1 9 0 ) + 0 0 0 0 2 6 2 ( 0 0 7 1 1 7 2 ) + 0 0 0 0 0 2 6 2 #### 0 0 7 1 1 9 8 2 81 | 3 9 9 5 * 6 0 0 6||8 5 9 5 3 + 0 0 0 0 0 0 ( 8 5 9 5 3 0 ) + 0 0 0 0 0 0 0 ( 8 5 9 5 3 0 0 ) + 0 0 0 8 5 9 5 3 #### 8 5 9 3 9 9 5 3 82 | 1 5 9 6 * 1 5 5 4||1 5 9 6 0 + 0 5 5 7 4 3 ( 1 0 5 4 5 3 ) + 0 0 5 5 7 4 3 ( 1 0 0 0 3 8 3 ) + 0 0 0 4 0 8 7 2 #### 1 0 0 4 3 6 1 3 83 | 6 3 9 9 * 6 5 6 8||6 1 6 9 5 + 0 0 8 6 9 4 ( 6 1 4 6 5 5 ) + 0 0 6 1 6 9 5 ( 6 1 0 8 1 5 6 ) + 0 0 0 8 8 4 9 7 #### 6 1 0 6 0 0 6 8 84 | 5 7 2 7 * 2 7 0 7||0 5 5 4 1 + 0 5 2 9 0 5 ( 0 0 8 3 2 5 ) + 0 0 0 0 0 0 0 ( 0 0 8 3 2 5 0 ) + 0 0 0 5 2 9 0 5 #### 0 0 8 8 4 4 1 5 85 | 4 5 8 3 * 1 9 0 7||4 5 8 3 0 + 0 6 8 6 4 3 ( 4 1 7 0 5 3 ) + 0 0 0 0 0 0 0 ( 4 1 7 0 5 3 0 ) + 0 0 0 8 7 9 6 2 #### 4 1 7 8 2 3 7 2 86 | 4 1 5 5 * 2 1 1 6||8 2 0 1 1 + 0 4 1 5 5 0 ( 8 6 1 6 6 0 ) + 0 0 4 1 5 5 0 ( 8 6 5 7 1 6 0 ) + 0 0 0 4 8 0 3 3 #### 8 6 5 1 0 7 3 3 87 | 1 1 9 8 * 5 7 7 1||5 5 5 4 4 + 0 7 7 3 2 6 ( 5 2 3 8 6 6 ) + 0 0 7 7 3 2 6 ( 5 2 0 6 0 9 6 ) + 0 0 0 1 1 9 8 0 #### 5 2 0 7 1 8 5 1 88 | 0 4 5 8 * 5 2 8 5||0 0 7 2 4 + 0 0 8 0 7 1 ( 0 0 5 3 1 2 ) + 0 0 0 2 3 8 6 ( 0 0 5 5 4 0 7 ) + 0 0 0 0 0 7 2 4 #### 0 0 5 5 4 7 9 4 89 | 1 8 4 8 * 3 5 4 9||3 4 4 5 2 + 0 5 0 4 2 4 ( 3 9 4 9 4 4 ) + 0 0 4 2 9 3 3 ( 3 9 8 1 4 8 3 ) + 0 0 0 9 2 3 6 7 #### 3 9 8 0 7 1 0 8 90 | 1 7 5 4 * 9 2 3 5||9 3 1 1 4 + 0 2 4 1 9 0 ( 9 5 5 2 3 1 ) + 0 0 3 1 7 3 1 ( 9 5 8 3 0 5 1 ) + 0 0 0 5 5 8 2 2 #### 9 5 8 8 5 3 4 2 91 | 0 1 5 8 * 0 7 4 3||0 0 0 0 0 + 0 0 7 5 9 5 ( 0 0 7 5 9 5 ) + 0 0 0 4 0 4 3 ( 0 0 7 9 9 9 3 ) + 0 0 0 0 3 5 5 2 #### 0 0 7 9 2 5 9 2 92 | 1 2 0 4 * 2 1 7 9||2 4 0 8 0 + 0 1 2 0 4 0 ( 2 5 2 8 4 0 ) + 0 0 7 4 1 8 2 ( 2 5 9 2 6 8 2 ) + 0 0 0 9 8 1 6 3 #### 2 5 9 1 5 0 9 3 93 | 7 9 7 7 * 4 0 7 4||8 8 1 1 3 + 0 0 0 0 0 0 ( 8 8 1 1 3 0 ) + 0 0 9 7 5 4 5 ( 8 8 0 9 8 4 5 ) + 0 0 0 8 8 1 1 3 #### 8 8 0 7 7 6 6 3 94 | 6 9 8 1 * 3 3 1 7||8 8 6 5 0 + 0 8 8 6 5 0 ( 8 6 5 2 6 0 ) + 0 0 6 9 8 1 0 ( 8 6 1 2 5 2 0 ) + 0 0 0 2 7 2 3 1 #### 8 6 1 4 2 5 3 1 95 | 2 4 9 4 * 8 7 4 8||6 3 5 9 3 + 0 4 9 5 4 3 ( 6 7 4 5 8 3 ) + 0 0 8 6 7 9 1 ( 6 7 2 2 6 3 2 ) + 0 0 0 6 3 5 9 3 #### 6 7 2 8 9 8 1 4 96 | 1 0 9 2 * 6 4 4 4||6 0 4 7 1 + 0 4 0 6 1 1 ( 6 4 4 3 3 1 ) + 0 0 4 0 6 1 1 ( 6 4 8 3 9 2 1 ) + 0 0 0 4 0 6 1 1 #### 6 4 8 7 9 8 2 1 97 | 3 0 6 5 * 7 1 2 5||1 2 2 9 3 + 0 3 0 6 5 0 ( 1 5 2 5 9 0 ) + 0 0 6 0 2 1 1 ( 1 5 8 5 1 2 1 ) + 0 0 0 5 1 0 8 2 #### 1 5 8 0 3 2 9 2 98 | 9 2 5 1 * 5 4 9 5||5 4 6 7 0 + 0 6 1 1 6 0 ( 5 0 8 8 6 0 ) + 0 0 1 6 7 3 1 ( 5 0 9 4 4 4 1 ) + 0 0 0 5 4 6 7 0 #### 5 0 9 9 8 0 9 0 99 | 9 8 5 9 * 5 8 4 8||5 4 9 7 4 + 0 2 1 7 6 7 ( 5 6 0 5 1 8 ) + 0 0 6 5 3 8 3 ( 5 6 6 0 5 6 4 ) + 0 0 0 2 1 7 6 7 #### 5 6 6 2 6 3 1 8 100 | 7 9 0 2 * 2 0 3 3||4 9 1 4 0 + 0 0 0 0 0 0 ( 4 9 1 4 0 0 ) + 0 0 1 9 2 6 0 ( 4 9 2 3 3 6 0 ) + 0 0 0 1 9 2 6 0 #### 4 9 2 4 2 9 6 0 101 | 4 2 6 6 * 5 6 7 4||0 2 1 3 3 + 0 4 4 7 9 3 ( 0 6 5 0 3 4 ) + 0 0 8 6 3 6 4 ( 0 6 3 7 6 0 5 ) + 0 0 0 6 9 4 6 2 #### 0 6 3 3 6 5 1 3 102 | 3 5 0 8 * 9 1 3 7||7 7 4 2 7 + 0 3 5 0 8 0 ( 7 0 0 3 5 1 ) + 0 0 9 5 1 4 2 ( 7 0 9 8 6 5 2 ) + 0 0 0 1 7 3 6 5 #### 7 0 9 9 3 9 8 5 103 | 4 8 5 8 * 9 3 0 1||6 5 2 7 7 + 0 2 5 7 5 2 ( 6 7 7 4 3 3 ) + 0 0 0 0 0 0 0 ( 6 7 7 4 3 3 0 ) + 0 0 0 4 8 5 8 0 #### 6 7 7 8 1 9 8 0 104 | 6 0 7 6 * 8 2 3 9||8 4 6 3 5 + 0 2 1 4 3 1 ( 8 6 7 7 8 1 ) + 0 0 8 1 1 0 2 ( 8 6 5 9 9 1 2 ) + 0 0 0 4 5 3 0 6 #### 8 6 5 3 5 5 2 6 105 | 2 8 9 8 * 8 8 2 3||6 5 8 1 7 + 0 6 5 8 1 7 ( 6 1 4 0 9 7 ) + 0 0 4 6 9 7 1 ( 6 1 8 6 8 5 2 ) + 0 0 0 6 4 9 6 2 #### 6 1 8 2 3 5 9 2 106 | 0 4 1 2 * 9 3 3 6||0 6 2 9 1 + 0 0 2 4 6 0 ( 0 6 4 3 8 0 ) + 0 0 0 2 4 6 0 ( 0 6 4 5 2 7 0 ) + 0 0 0 0 4 8 2 1 #### 0 6 4 5 6 5 3 1 107 | 4 0 3 2 * 4 5 0 4||6 1 2 9 0 + 0 0 2 5 1 1 ( 6 1 4 4 2 1 ) + 0 0 0 0 0 0 0 ( 6 1 4 4 2 1 0 ) + 0 0 0 6 1 2 9 0 #### 6 1 4 0 4 3 9 0 108 | 0 5 9 8 * 2 9 7 3||0 0 9 7 1 + 0 0 5 5 0 8 ( 0 0 4 3 2 8 ) + 0 0 0 5 6 2 6 ( 0 0 4 8 8 0 7 ) + 0 0 0 0 5 8 6 2 #### 0 0 4 8 3 9 3 3 109 | 8 3 7 7 * 5 8 7 1||0 9 6 8 3 + 0 4 0 9 1 6 ( 0 3 7 7 5 6 ) + 0 0 6 6 1 4 5 ( 0 3 3 4 7 0 6 ) + 0 0 0 8 3 7 7 0 #### 0 3 3 2 1 8 3 1 110 | 9 8 8 7 * 9 2 7 8||1 0 0 1 7 + 0 8 7 7 5 1 ( 1 8 7 8 2 2 ) + 0 0 3 2 2 5 5 ( 1 8 0 1 5 7 5 ) + 0 0 0 2 1 1 3 6 #### 1 8 0 3 6 8 8 6 111 | 3 4 1 7 * 8 5 5 1||4 4 1 7 5 + 0 5 1 7 5 3 ( 4 9 2 4 1 4 ) + 0 0 5 1 7 5 3 ( 4 9 7 5 8 9 3 ) + 0 0 0 3 4 1 7 0 #### 4 9 7 8 2 1 1 1 112 | 1 7 6 2 * 2 7 6 8||2 4 3 5 0 + 0 7 9 6 8 1 ( 2 1 3 2 9 1 ) + 0 0 6 2 0 6 1 ( 2 1 9 4 9 7 1 ) + 0 0 0 8 6 3 1 2 #### 2 1 9 2 6 1 3 2 113 | 9 4 4 9 * 5 6 1 7||5 4 2 7 4 + 0 4 9 6 6 5 ( 5 8 1 4 1 6 ) + 0 0 9 4 4 9 0 ( 5 8 0 9 5 5 1 ) + 0 0 0 3 4 1 6 6 #### 5 8 0 2 0 7 7 6 114 | 5 5 3 3 * 5 8 2 7||5 7 7 6 1 + 0 0 4 8 6 2 ( 5 7 1 5 8 2 ) + 0 0 0 1 7 6 0 ( 5 7 1 6 5 9 0 ) + 0 0 0 5 8 4 3 2 #### 5 7 1 1 4 4 4 2 115 | 5 6 2 7 * 5 4 0 7||5 2 3 6 3 + 0 0 6 0 9 2 ( 5 2 9 6 2 3 ) + 0 0 0 0 0 0 0 ( 5 2 9 6 2 3 0 ) + 0 0 0 5 5 8 0 5 #### 5 2 9 1 8 1 1 5 116 | 6 1 5 9 * 0 5 1 9||0 0 0 0 0 + 0 0 8 5 7 4 ( 0 0 8 5 7 4 ) + 0 0 6 1 5 9 0 ( 0 0 4 7 2 4 1 ) + 0 0 0 4 4 6 5 8 #### 0 0 4 1 7 0 7 8 117 | 9 2 6 7 * 2 6 8 4||8 5 2 5 1 + 0 4 7 7 5 4 ( 8 9 9 2 7 4 ) + 0 0 2 3 0 1 6 ( 8 9 1 6 7 5 6 ) + 0 0 0 6 1 5 0 3 #### 8 9 1 2 9 0 7 3 118 | 9 0 6 8 * 4 2 9 4||6 3 4 4 3 + 0 8 1 2 7 1 ( 6 1 6 6 0 2 ) + 0 0 1 8 4 7 7 ( 6 1 7 4 5 9 7 ) + 0 0 0 6 3 4 4 3 #### 6 1 7 0 9 3 2 4 119 | 0 5 7 9 * 7 4 2 7||0 5 2 8 6 + 0 0 0 0 9 3 ( 0 5 2 8 5 4 ) + 0 0 0 0 5 9 1 ( 0 5 2 8 0 4 2 ) + 0 0 0 0 5 2 8 6 #### 0 5 2 8 5 6 0 7 120 | 9 5 2 3 * 0 2 8 3||0 0 0 0 0 + 0 8 1 5 6 0 ( 0 8 1 5 6 0 ) + 0 0 2 7 0 6 2 ( 0 8 3 2 7 6 2 ) + 0 0 0 7 7 7 9 0 #### 0 8 3 9 4 4 2 1 121 | 2 9 2 6 * 8 8 1 6||6 3 3 0 5 + 0 6 3 3 0 5 ( 6 9 6 3 5 5 ) + 0 0 2 9 2 6 0 ( 6 9 8 2 8 1 1 ) + 0 0 0 2 5 7 7 3 #### 6 9 8 4 3 9 8 3 122 | 3 6 7 8 * 0 7 6 1||0 0 0 0 0 + 0 1 4 3 1 6 ( 0 1 4 3 1 6 ) + 0 0 8 7 5 2 5 ( 0 1 2 1 7 8 5 ) + 0 0 0 3 6 7 8 0 #### 0 1 2 4 3 6 4 1 123 | 9 2 7 2 * 7 2 1 4||3 0 1 9 1 + 0 8 5 4 5 0 ( 3 8 6 3 7 0 ) + 0 0 9 2 7 2 0 ( 3 8 5 6 4 3 0 ) + 0 0 0 6 1 9 0 1 #### 3 8 5 2 6 2 1 1 124 | 3 6 6 6 * 2 4 0 6||6 2 3 3 1 + 0 2 5 6 6 2 ( 6 4 8 9 7 2 ) + 0 0 0 0 0 0 0 ( 6 4 8 9 7 2 0 ) + 0 0 0 8 7 9 9 3 #### 6 4 8 7 5 2 0 4 125 | 1 1 6 6 * 9 9 0 2||9 9 4 9 5 + 0 9 9 4 9 5 ( 9 8 4 4 5 6 ) + 0 0 0 0 0 0 0 ( 9 8 4 4 5 6 0 ) + 0 0 0 2 2 2 3 1 #### 9 8 4 6 7 8 3 1 126 | 9 2 6 6 * 5 5 4 7||5 4 1 3 3 + 0 5 4 1 3 3 ( 5 9 5 4 6 3 ) + 0 0 6 1 5 6 2 ( 5 9 1 6 1 0 3 ) + 0 0 0 3 0 4 6 4 #### 5 9 1 9 1 4 9 4 127 | 4 4 2 2 * 5 5 6 9||0 2 2 1 1 + 0 0 2 2 1 1 ( 0 2 4 3 2 1 ) + 0 0 4 6 4 3 1 ( 0 2 8 9 6 4 1 ) + 0 0 0 6 9 1 0 2 #### 0 2 8 5 6 6 1 2 128 | 3 3 0 3 * 3 4 2 2||9 9 0 9 0 + 0 2 3 1 2 1 ( 9 1 4 0 3 1 ) + 0 0 6 6 0 6 0 ( 9 1 0 7 3 7 0 ) + 0 0 0 6 6 0 6 0 #### 9 1 0 3 0 8 6 0 129 | 3 5 0 3 * 6 6 9 2||8 1 3 8 1 + 0 8 1 3 8 1 ( 8 9 4 1 0 2 ) + 0 0 7 7 4 7 2 ( 8 9 1 9 4 9 2 ) + 0 0 0 6 0 1 6 0 #### 8 9 1 5 5 0 9 0 130 | 0 1 3 5 * 8 9 4 3||0 8 4 2 4 + 0 0 9 7 7 4 ( 0 8 3 0 2 5 ) + 0 0 0 4 2 1 2 ( 0 8 3 4 4 6 2 ) + 0 0 0 0 3 9 5 1 #### 0 8 3 4 7 5 8 1 131 | 3 4 1 8 * 4 3 5 4||2 7 5 2 3 + 0 9 2 4 4 2 ( 2 6 8 6 7 2 ) + 0 0 5 1 7 0 4 ( 2 6 3 8 4 3 4 ) + 0 0 0 2 7 5 2 3 #### 2 6 3 0 2 9 6 3 132 | 1 8 4 9 * 8 4 9 6||8 4 8 5 7 + 0 4 2 9 7 3 ( 8 8 0 5 5 4 ) + 0 0 9 2 3 5 8 ( 8 8 9 7 8 9 8 ) + 0 0 0 6 8 8 6 5 #### 8 8 9 3 7 8 5 6 133 | 8 7 0 9 * 6 1 6 7||8 6 4 4 5 + 0 8 7 0 9 0 ( 8 4 2 5 4 1 ) + 0 0 8 6 4 4 5 ( 8 4 0 2 9 5 5 ) + 0 0 0 6 4 5 3 6 #### 8 4 0 8 3 1 9 6 134 | 7 1 7 6 * 5 8 0 4||5 8 5 3 3 + 0 6 3 7 3 5 ( 5 4 9 0 7 5 ) + 0 0 0 0 0 0 0 ( 5 4 9 0 7 5 0 ) + 0 0 0 8 6 8 6 2 #### 5 4 9 8 3 4 7 2 135 | 0 4 9 8 * 5 0 0 1||0 0 7 4 4 + 0 0 0 0 0 0 ( 0 0 7 4 4 0 ) + 0 0 0 0 0 0 0 ( 0 0 7 4 4 0 0 ) + 0 0 0 0 4 9 8 0 #### 0 0 7 4 8 9 8 0 136 | 9 6 6 4 * 0 9 3 8||0 0 0 0 0 + 0 1 2 0 2 4 ( 0 1 2 0 2 4 ) + 0 0 7 0 0 4 1 ( 0 1 9 0 2 8 1 ) + 0 0 0 2 5 3 7 3 #### 0 1 9 2 7 1 9 3 137 | 2 1 0 3 * 2 3 2 3||4 2 0 6 0 + 0 6 3 0 9 0 ( 4 8 3 6 9 0 ) + 0 0 4 2 0 6 0 ( 4 8 7 8 9 6 0 ) + 0 0 0 6 3 0 9 0 #### 4 8 7 4 3 7 9 0 138 | 2 7 3 1 * 7 3 6 1||4 0 6 9 0 + 0 6 1 1 4 0 ( 4 6 7 0 5 0 ) + 0 0 2 3 2 8 0 ( 4 6 9 3 7 8 0 ) + 0 0 0 2 7 3 1 0 #### 4 6 9 5 4 2 2 0 139 | 9 7 0 7 * 1 6 6 5||9 7 0 7 0 + 0 4 7 4 2 4 ( 9 1 8 1 3 4 ) + 0 0 4 7 4 2 4 ( 9 1 2 9 7 6 4 ) + 0 0 0 5 9 3 5 3 #### 9 1 2 4 7 0 0 4 140 | 7 8 5 8 * 5 4 6 2||5 3 9 2 4 + 0 8 4 3 4 3 ( 5 1 4 6 8 3 ) + 0 0 2 2 5 1 5 ( 5 1 6 8 3 5 5 ) + 0 0 0 4 7 1 7 1 #### 5 1 6 2 1 7 2 2 141 | 7 8 2 8 * 5 0 2 7||5 3 4 1 4 + 0 0 0 0 0 0 ( 5 3 4 1 4 0 ) + 0 0 4 7 5 6 1 ( 5 3 8 8 9 6 1 ) + 0 0 0 9 0 0 8 5 #### 5 3 8 7 0 7 9 5 142 | 1 1 6 9 * 6 8 8 4||6 6 6 7 5 + 0 8 8 8 6 7 ( 6 4 5 6 2 8 ) + 0 0 8 8 8 6 7 ( 6 4 3 5 1 5 8 ) + 0 0 0 4 4 4 8 3 #### 6 4 3 9 5 9 6 4 143 | 1 5 2 6 * 5 4 3 7||5 5 2 1 3 + 0 4 0 0 5 2 ( 5 9 2 1 8 2 ) + 0 0 3 5 7 8 1 ( 5 9 5 6 5 1 2 ) + 0 0 0 7 5 7 3 4 #### 5 9 5 3 1 9 5 4 144 | 6 0 6 8 * 4 0 2 5||4 2 4 4 3 + 0 0 0 0 0 0 ( 4 2 4 4 3 0 ) + 0 0 2 1 2 7 1 ( 4 2 6 5 5 7 1 ) + 0 0 0 0 3 0 3 4 #### 4 2 6 5 8 7 4 4 145 | 3 9 1 9 * 6 4 8 6||8 5 1 5 5 + 0 2 7 7 6 3 ( 8 7 8 2 2 4 ) + 0 0 4 4 5 3 7 ( 8 7 2 7 7 7 7 ) + 0 0 0 8 5 1 5 5 #### 8 7 2 5 3 9 2 6 146 | 7 6 2 4 * 0 0 3 5||0 0 0 0 0 + 0 0 0 0 0 0 ( 0 0 0 0 0 0 ) + 0 0 1 0 8 2 1 ( 0 0 1 0 8 2 1 ) + 0 0 0 5 3 3 1 2 #### 0 0 1 5 1 6 2 2 147 | 6 2 2 6 * 6 2 3 6||6 5 3 7 3 + 0 2 5 4 2 1 ( 6 7 8 1 6 1 ) + 0 0 8 7 6 8 1 ( 6 7 6 9 2 0 2 ) + 0 0 0 6 5 3 7 3 #### 6 7 6 5 8 3 9 3 148 | 0 4 2 7 * 2 8 8 6||0 8 4 4 1 + 0 0 2 9 7 5 ( 0 8 6 3 9 5 ) + 0 0 0 2 9 7 5 ( 0 8 6 5 8 3 6 ) + 0 0 0 0 4 4 3 4 #### 0 8 6 5 2 8 9 4 149 | 0 0 7 4 * 2 1 5 8||0 0 4 9 0 + 0 0 0 7 4 0 ( 0 0 4 6 5 0 ) + 0 0 0 0 5 3 2 ( 0 0 4 6 0 4 2 ) + 0 0 0 0 0 6 7 3 #### 0 0 4 6 0 0 0 4 150 | 8 2 4 7 * 5 5 5 7||0 4 1 7 3 + 0 0 4 1 7 3 ( 0 4 5 8 0 4 ) + 0 0 0 4 1 7 3 ( 0 4 5 2 2 1 4 ) + 0 0 0 6 9 9 1 5 #### 0 4 5 8 1 1 6 5 151 | 8 0 1 7 * 8 3 6 9||4 6 8 6 5 + 0 4 2 3 1 2 ( 4 0 1 0 7 2 ) + 0 0 8 4 6 2 4 ( 4 0 9 4 3 5 4 ) + 0 0 0 2 7 9 3 6 #### 4 0 9 6 0 5 8 6 152 | 3 0 2 1 * 1 9 0 7||3 0 2 1 0 + 0 7 2 8 0 1 ( 3 7 4 9 0 1 ) + 0 0 0 0 0 0 0 ( 3 7 4 9 0 1 0 ) + 0 0 0 1 2 4 8 0 #### 3 7 4 0 3 5 8 0 153 | 3 3 0 3 * 3 7 5 9||9 9 0 9 0 + 0 1 3 2 1 2 ( 9 0 4 1 2 2 ) + 0 0 5 6 1 5 1 ( 9 0 9 7 3 7 1 ) + 0 0 0 7 9 2 7 2 #### 9 0 9 4 3 0 9 2 154 | 3 0 9 8 * 7 4 1 5||1 2 3 2 6 + 0 2 1 6 5 3 ( 1 4 4 8 1 4 ) + 0 0 3 0 9 8 0 ( 1 4 7 8 0 3 1 ) + 0 0 0 5 1 5 4 4 #### 1 4 7 3 2 8 5 4 155 | 8 5 0 3 * 0 7 0 1||0 0 0 0 0 + 0 6 0 4 1 2 ( 0 6 0 4 1 2 ) + 0 0 0 0 0 0 0 ( 0 6 0 4 1 2 0 ) + 0 0 0 8 5 0 3 0 #### 0 6 0 2 7 2 3 0 156 | 2 7 4 2 * 8 3 4 1||6 7 7 9 1 + 0 6 1 4 7 0 ( 6 3 9 3 9 0 ) + 0 0 8 8 8 9 0 ( 6 3 7 2 8 0 1 ) + 0 0 0 2 7 4 2 0 #### 6 3 7 4 5 5 3 0 157 | 0 8 6 7 * 2 8 4 4||0 6 3 5 1 + 0 0 4 4 1 6 ( 0 6 7 9 2 6 ) + 0 0 0 2 7 0 3 ( 0 6 7 1 0 7 3 ) + 0 0 0 0 2 7 0 3 #### 0 6 7 1 2 4 4 3 158 | 9 0 3 9 * 6 8 5 3||4 5 8 5 5 + 0 2 7 4 4 7 ( 4 7 5 0 0 8 ) + 0 0 5 4 5 6 4 ( 4 7 0 5 5 4 5 ) + 0 0 0 7 2 9 7 2 #### 4 7 0 2 8 3 3 3 159 | 5 3 5 2 * 6 2 2 4||0 1 2 5 1 + 0 0 7 0 5 0 ( 0 1 9 5 6 0 ) + 0 0 0 7 0 5 0 ( 0 1 9 2 7 5 0 ) + 0 0 0 0 4 1 0 1 #### 0 1 9 2 1 7 0 1 160 | 0 9 3 6 * 2 1 9 1||0 8 7 2 1 + 0 0 9 3 6 0 ( 0 8 6 6 7 0 ) + 0 0 0 1 5 7 5 ( 0 8 6 7 2 8 5 ) + 0 0 0 0 9 3 6 0 #### 0 8 6 7 1 2 2 1 161 | 4 8 2 2 * 0 0 5 4||0 0 0 0 0 + 0 0 0 0 0 0 ( 0 0 0 0 0 0 ) + 0 0 0 2 4 1 1 ( 0 0 0 2 4 1 1 ) + 0 0 0 6 3 1 9 0 #### 0 0 0 8 7 2 0 1 162 | 6 2 3 6 * 5 8 5 5||0 3 6 1 3 + 0 8 0 6 0 5 ( 0 1 7 7 3 5 ) + 0 0 0 3 6 1 3 ( 0 1 7 0 0 7 3 ) + 0 0 0 0 3 6 1 3 #### 0 1 7 0 3 3 5 3 163 | 9 5 4 3 * 2 8 6 7||8 1 9 6 0 + 0 2 7 6 7 2 ( 8 3 6 3 8 2 ) + 0 0 4 5 7 0 2 ( 8 3 0 9 5 3 2 ) + 0 0 0 3 1 2 4 2 #### 8 3 0 2 7 5 6 2 164 | 7 6 4 3 * 3 1 7 3||1 0 4 0 1 + 0 7 6 4 3 0 ( 1 7 0 5 4 0 ) + 0 0 9 6 2 4 2 ( 1 7 9 1 7 4 2 ) + 0 0 0 1 0 4 0 1 #### 1 7 9 2 7 8 2 1 165 | 3 7 7 3 * 9 8 3 5||7 5 9 3 3 + 0 4 8 1 0 3 ( 7 9 7 5 3 3 ) + 0 0 9 1 3 1 1 ( 7 9 6 7 6 4 1 ) + 0 0 0 5 6 8 8 1 #### 7 9 6 2 3 3 0 2 166 | 6 4 9 5 * 8 5 9 2||8 6 5 7 4 + 0 0 3 7 9 2 ( 8 6 8 4 4 3 ) + 0 0 4 1 5 3 5 ( 8 6 2 6 9 6 5 ) + 0 0 0 2 9 8 1 1 #### 8 6 2 8 8 5 7 1 167 | 8 0 6 7 * 8 5 0 2||4 6 8 0 6 + 0 0 4 0 8 3 ( 4 6 2 1 4 4 ) + 0 0 0 0 0 0 0 ( 4 6 2 1 4 4 0 ) + 0 0 0 6 1 2 5 1 #### 4 6 2 7 5 6 5 1 168 | 6 8 5 9 * 2 8 7 8||2 7 1 9 1 + 0 8 8 6 6 7 ( 2 5 0 6 8 7 ) + 0 0 2 0 1 7 6 ( 2 5 2 6 9 4 7 ) + 0 0 0 8 8 6 6 7 #### 2 5 2 4 8 1 4 8 169 | 1 3 1 7 * 5 6 2 6||5 5 6 5 3 + 0 6 8 7 2 4 ( 5 1 5 3 6 4 ) + 0 0 2 6 2 4 1 ( 5 1 7 9 8 8 1 ) + 0 0 0 6 8 7 2 4 #### 5 1 7 5 7 6 4 4 170 | 8 4 4 8 * 9 4 7 1||2 3 0 6 7 + 0 2 9 7 3 3 ( 2 5 9 3 1 4 ) + 0 0 6 3 1 9 5 ( 2 5 5 7 2 3 6 ) + 0 0 0 8 4 4 8 0 #### 2 5 5 5 7 7 4 1 171 | 2 6 0 6 * 4 4 0 8||8 4 2 4 2 + 0 8 4 2 4 2 ( 8 2 7 6 6 2 ) + 0 0 0 0 0 0 0 ( 8 2 7 6 6 2 0 ) + 0 0 0 6 9 4 8 4 #### 8 2 7 2 6 7 8 4 172 | 3 3 5 3 * 5 7 8 9||5 6 6 7 1 + 0 1 3 7 4 2 ( 5 7 9 4 6 2 ) + 0 0 4 6 2 8 2 ( 5 7 3 1 9 0 3 ) + 0 0 0 7 9 7 1 3 #### 5 7 3 8 8 8 4 3 173 | 8 4 5 7 * 8 3 7 1||4 8 3 0 6 + 0 4 4 6 2 2 ( 4 2 8 6 8 2 ) + 0 0 6 3 8 2 5 ( 4 2 4 0 7 5 5 ) + 0 0 0 8 4 5 7 0 #### 4 2 4 8 1 1 3 1 174 | 3 8 8 6 * 8 7 4 8||4 6 0 5 5 + 0 1 8 1 8 4 ( 4 7 8 6 3 5 ) + 0 0 2 3 5 7 2 ( 4 7 0 0 9 2 3 ) + 0 0 0 4 6 0 5 5 #### 4 7 0 4 5 3 8 5 175 | 8 8 1 5 * 8 0 7 4||4 0 5 1 4 + 0 0 0 0 0 0 ( 4 0 5 1 4 0 ) + 0 0 6 1 3 6 3 ( 4 0 1 3 7 6 3 ) + 0 0 0 2 5 7 0 2 #### 4 0 1 5 2 4 4 2 176 | 9 1 4 6 * 5 4 3 5||5 9 0 2 3 + 0 6 7 6 5 2 ( 5 5 8 8 8 2 ) + 0 0 7 5 2 9 1 ( 5 5 5 4 1 2 2 ) + 0 0 0 5 9 0 2 3 #### 5 5 5 9 0 3 4 3 177 | 0 6 5 5 * 9 2 7 4||0 4 0 0 5 + 0 0 2 1 1 1 ( 0 4 2 1 6 1 ) + 0 0 0 2 9 8 3 ( 0 4 2 3 5 0 4 ) + 0 0 0 0 4 2 2 2 #### 0 4 2 3 9 2 6 2 178 | 2 7 0 7 * 9 6 0 7||8 4 6 3 6 + 0 2 3 4 2 4 ( 8 6 9 7 8 4 ) + 0 0 0 0 0 0 0 ( 8 6 9 7 8 4 0 ) + 0 0 0 4 0 5 9 4 #### 8 6 9 1 9 9 9 4 179 | 8 8 8 6 * 0 7 2 3||0 0 0 0 0 + 0 6 1 2 8 4 ( 0 6 1 2 8 4 ) + 0 0 6 7 7 3 1 ( 0 6 7 9 5 8 1 ) + 0 0 0 4 6 6 0 2 #### 0 6 7 3 2 5 2 2 180 | 4 0 0 7 * 1 5 0 2||4 0 0 7 0 + 0 0 2 0 5 3 ( 4 0 2 7 5 3 ) + 0 0 0 0 0 0 0 ( 4 0 2 7 5 3 0 ) + 0 0 0 8 0 0 4 1 #### 4 0 2 5 6 3 4 1 181 | 3 3 6 3 * 6 3 8 3||8 9 7 1 2 + 0 9 9 8 0 1 ( 8 8 7 0 3 1 ) + 0 0 4 6 0 9 2 ( 8 8 1 7 3 0 3 ) + 0 0 0 9 9 8 0 1 #### 8 8 1 6 3 9 3 1 182 | 4 3 2 3 * 9 4 9 7||6 0 1 9 2 + 0 6 3 9 2 1 ( 6 6 4 8 5 1 ) + 0 0 6 0 1 9 2 ( 6 6 0 9 6 0 3 ) + 0 0 0 8 3 6 2 2 #### 6 6 0 7 0 7 5 2 183 | 7 4 4 6 * 0 3 0 2||0 0 0 0 0 + 0 1 4 3 9 1 ( 0 1 4 3 9 1 ) + 0 0 0 0 0 0 0 ( 0 1 4 3 9 1 0 ) + 0 0 0 4 9 8 2 1 #### 0 1 4 7 8 0 3 1 184 | 7 5 6 3 * 1 6 5 1||7 5 6 3 0 + 0 2 4 9 1 2 ( 7 7 0 3 2 2 ) + 0 0 5 8 2 8 1 ( 7 7 5 1 5 0 2 ) + 0 0 0 7 5 6 3 0 #### 7 7 5 8 0 7 5 0 185 | 8 0 2 8 * 8 4 5 7||4 6 6 5 6 + 0 2 3 8 2 3 ( 4 8 9 3 9 3 ) + 0 0 0 4 0 1 4 ( 4 8 9 7 9 4 4 ) + 0 0 0 6 5 4 7 5 #### 4 8 9 3 5 9 1 6 186 | 0 4 7 2 * 9 4 9 2||0 6 6 4 2 + 0 0 6 9 0 1 ( 0 6 2 4 3 1 ) + 0 0 0 6 6 4 2 ( 0 6 2 0 0 6 2 ) + 0 0 0 0 8 4 5 0 #### 0 6 2 0 8 0 8 0 187 | 1 8 0 7 * 1 1 6 1||1 8 0 7 0 + 0 1 8 0 7 0 ( 1 9 8 7 7 0 ) + 0 0 6 8 4 2 4 ( 1 9 4 6 2 3 4 ) + 0 0 0 1 8 0 7 0 #### 1 9 4 7 0 4 1 1 188 | 3 8 6 9 * 5 1 8 4||5 1 4 8 4 + 0 3 8 6 9 0 ( 5 4 2 5 4 1 ) + 0 0 4 6 4 7 7 ( 5 4 6 1 9 8 7 ) + 0 0 0 2 3 7 8 3 #### 5 4 6 3 2 6 6 4 189 | 8 6 4 9 * 3 3 5 8||4 0 4 8 2 + 0 4 0 4 8 2 ( 4 4 4 2 1 3 ) + 0 0 0 4 3 7 4 ( 4 4 4 6 4 0 5 ) + 0 0 0 4 4 7 5 7 #### 4 4 4 0 9 7 0 8 190 | 4 7 0 4 * 1 6 9 9||4 7 0 4 0 + 0 4 4 4 4 2 ( 4 1 5 8 4 2 ) + 0 0 6 6 6 6 3 ( 4 1 1 5 1 9 3 ) + 0 0 0 6 6 6 6 3 #### 4 1 1 1 8 5 0 4 191 | 2 1 4 8 * 8 8 4 4||6 9 2 7 6 + 0 6 9 2 7 6 ( 6 5 2 0 4 7 ) + 0 0 8 4 6 3 3 ( 6 5 0 5 0 1 4 ) + 0 0 0 8 4 6 3 3 #### 6 5 0 3 5 7 7 3 192 | 5 0 4 6 * 5 3 2 6||5 2 0 2 3 + 0 5 1 2 9 1 ( 5 7 1 4 2 2 ) + 0 0 0 1 8 2 1 ( 5 7 1 5 0 5 1 ) + 0 0 0 0 3 4 8 3 #### 5 7 1 5 3 9 9 3 193 | 0 8 0 3 * 6 0 4 8||0 8 4 8 1 + 0 0 0 0 0 0 ( 0 8 4 8 1 0 ) + 0 0 0 2 3 2 1 ( 0 8 4 0 5 2 1 ) + 0 0 0 0 4 6 4 2 #### 0 8 4 0 9 8 5 2 194 | 2 0 7 8 * 4 2 1 3||8 0 8 4 3 + 0 4 0 4 7 1 ( 8 4 8 8 0 2 ) + 0 0 2 0 7 8 0 ( 8 4 0 9 7 0 1 ) + 0 0 0 6 0 1 6 2 #### 8 4 0 5 8 1 7 2 195 | 5 8 6 8 * 8 2 8 1||0 8 4 9 6 + 0 0 7 3 7 1 ( 0 8 1 3 4 2 ) + 0 0 0 8 4 9 6 ( 0 8 1 1 9 1 7 ) + 0 0 0 5 8 6 8 0 #### 0 8 1 6 7 8 5 1 196 | 1 8 7 4 * 0 1 8 5||0 0 0 0 0 + 0 1 8 7 4 0 ( 0 1 8 7 4 0 ) + 0 0 8 4 2 8 3 ( 0 1 6 2 7 8 3 ) + 0 0 0 5 0 9 3 2 #### 0 1 6 7 7 7 7 2 197 | 8 7 1 2 * 3 9 7 4||4 3 5 6 0 + 0 2 0 6 9 1 ( 4 5 5 2 0 2 ) + 0 0 6 4 2 5 1 ( 4 5 1 7 2 7 1 ) + 0 0 0 2 1 7 8 0 #### 4 5 1 9 3 4 0 1 198 | 5 8 7 1 * 4 6 2 6||0 4 1 7 0 + 0 0 1 7 0 1 ( 0 4 2 4 1 1 ) + 0 0 0 7 5 3 0 ( 0 4 2 1 7 4 0 ) + 0 0 0 0 1 7 0 1 #### 0 4 2 1 8 1 1 1 199 | 1 6 4 4 * 4 5 4 1||4 4 8 7 1 + 0 5 0 3 2 2 ( 4 9 8 0 4 2 ) + 0 0 4 4 8 7 1 ( 4 9 2 5 2 0 2 ) + 0 0 0 1 6 4 4 0 #### 4 9 2 6 8 4 6 0 200 | 4 0 9 5 * 3 5 3 9||2 1 7 7 1 + 0 0 2 5 9 2 ( 2 1 9 2 1 3 ) + 0 0 2 1 7 7 1 ( 2 1 1 4 8 0 2 ) + 0 0 0 6 3 1 3 5 #### 2 1 1 0 2 2 5 5 201 | 6 4 0 9 * 2 7 7 1||2 9 0 8 1 + 0 2 2 3 3 6 ( 2 1 3 1 5 6 ) + 0 0 2 2 3 3 6 ( 2 1 5 3 8 9 6 ) + 0 0 0 6 4 0 9 0 #### 2 1 5 9 2 0 6 1 202 | 4 0 1 5 * 1 7 1 8||4 0 1 5 0 + 0 8 2 7 5 3 ( 4 8 3 2 6 3 ) + 0 0 4 0 1 5 0 ( 4 8 7 2 7 8 0 ) + 0 0 0 2 3 8 0 4 #### 4 8 7 4 0 7 1 4 203 | 3 6 6 5 * 3 4 3 4||9 8 9 6 1 + 0 2 5 6 2 2 ( 9 0 5 3 4 2 ) + 0 0 9 8 9 6 1 ( 9 0 4 2 4 9 1 ) + 0 0 0 2 5 6 2 2 #### 9 0 4 4 9 5 4 2 204 | 8 0 4 5 * 3 0 1 9||4 2 2 6 1 + 0 0 0 0 0 0 ( 4 2 2 6 1 0 ) + 0 0 8 0 4 5 0 ( 4 2 0 7 5 5 0 ) + 0 0 0 2 7 6 8 4 #### 4 2 0 9 2 2 9 4 205 | 1 7 1 7 * 5 5 9 7||5 5 8 5 3 + 0 5 5 8 5 3 ( 5 0 4 4 9 3 ) + 0 0 9 3 5 4 6 ( 5 0 3 8 4 8 6 ) + 0 0 0 7 9 1 0 5 #### 5 0 3 5 4 0 7 5 206 | 0 1 2 2 * 2 2 7 9||0 2 4 4 0 + 0 0 2 4 4 0 ( 0 2 6 8 4 0 ) + 0 0 0 7 4 5 1 ( 0 2 6 5 9 5 1 ) + 0 0 0 0 9 8 9 1 #### 0 2 6 5 8 4 1 2 207 | 1 0 5 3 * 2 4 6 9||2 0 0 7 0 + 0 4 0 0 4 1 ( 2 4 0 7 4 1 ) + 0 0 6 0 0 1 2 ( 2 4 6 7 4 2 2 ) + 0 0 0 9 0 5 1 3 #### 2 4 6 6 5 7 3 3 208 | 4 5 5 7 * 7 4 5 2||8 7 8 2 5 + 0 6 1 2 0 3 ( 8 3 0 5 5 3 ) + 0 0 0 7 7 7 3 ( 8 3 0 2 3 1 4 ) + 0 0 0 8 0 1 5 1 #### 8 3 0 0 4 2 9 1 209 | 9 5 5 7 * 5 7 1 3||5 9 7 7 3 + 0 3 1 9 2 5 ( 5 2 9 6 6 5 ) + 0 0 9 5 5 7 0 ( 5 2 8 2 2 3 1 ) + 0 0 0 7 7 6 2 2 #### 5 2 8 9 9 9 3 2 210 | 3 3 0 1 * 2 4 9 3||6 6 0 2 0 + 0 2 3 1 4 0 ( 6 8 3 3 4 0 ) + 0 0 7 9 2 9 0 ( 6 8 0 3 7 9 0 ) + 0 0 0 9 9 0 3 0 #### 6 8 0 2 7 0 4 0 211 | 2 9 9 6 * 5 7 0 9||0 6 9 4 3 + 0 4 4 9 8 4 ( 0 0 4 4 2 5 ) + 0 0 0 0 0 0 0 ( 0 0 4 4 2 5 0 ) + 0 0 0 8 2 9 2 6 #### 0 0 4 2 5 4 3 6 212 | 9 2 5 2 * 9 1 1 6||1 6 7 2 2 + 0 9 2 5 2 0 ( 1 5 0 8 4 0 ) + 0 0 9 2 5 2 0 ( 1 5 9 0 0 3 0 ) + 0 0 0 4 7 1 5 1 #### 1 5 9 4 7 4 5 1 213 | 1 9 7 7 * 4 8 0 8||4 6 1 1 3 + 0 8 2 3 2 6 ( 4 4 4 4 5 6 ) + 0 0 0 0 0 0 0 ( 4 4 4 4 5 6 0 ) + 0 0 0 8 2 3 2 6 #### 4 4 4 2 8 9 2 6 214 | 8 3 4 8 * 2 2 9 7||6 7 8 6 1 + 0 6 7 8 6 1 ( 6 3 6 5 8 1 ) + 0 0 2 4 9 5 7 ( 6 3 8 9 7 7 7 ) + 0 0 0 6 6 0 9 5 #### 6 3 8 5 4 8 6 6 215 | 0 2 6 6 * 8 7 6 9||0 6 9 2 5 + 0 0 4 3 6 4 ( 0 6 3 6 1 5 ) + 0 0 0 2 7 9 3 ( 0 6 3 8 8 4 4 ) + 0 0 0 0 8 5 9 5 #### 0 6 3 8 6 0 4 6 216 | 9 2 7 6 * 0 3 9 7||0 0 0 0 0 + 0 7 8 1 0 2 ( 0 7 8 1 0 2 ) + 0 0 1 6 5 0 6 ( 0 7 9 7 5 2 6 ) + 0 0 0 3 0 1 7 4 #### 0 7 9 0 6 3 3 5 217 | 8 5 6 5 * 1 4 5 9||8 5 6 5 0 + 0 2 3 6 2 2 ( 8 7 9 1 3 2 ) + 0 0 0 9 2 8 2 ( 8 7 9 0 6 0 3 ) + 0 0 0 2 2 9 0 5 #### 8 7 9 2 8 9 3 5 218 | 1 4 4 5 * 1 8 3 1||1 4 4 5 0 + 0 8 2 5 3 4 ( 1 2 7 0 4 4 ) + 0 0 3 2 3 6 1 ( 1 2 0 3 7 0 2 ) + 0 0 0 1 4 4 5 0 #### 1 2 0 4 1 5 7 0 219 | 0 2 7 8 * 3 6 3 4||0 6 1 6 2 + 0 0 2 3 2 5 ( 0 6 3 9 4 5 ) + 0 0 0 6 1 6 2 ( 0 6 3 5 6 1 3 ) + 0 0 0 0 8 8 4 3 #### 0 6 3 5 4 0 8 3 220 | 0 7 8 2 * 2 3 5 4||0 4 7 5 0 + 0 0 1 6 8 0 ( 0 4 8 1 9 0 ) + 0 0 0 5 3 4 1 ( 0 4 8 6 2 5 1 ) + 0 0 0 0 8 4 1 1 #### 0 4 8 6 0 0 3 1 221 | 7 9 5 1 * 2 4 0 1||4 9 1 3 0 + 0 8 8 3 6 0 ( 4 7 0 7 6 0 ) + 0 0 0 0 0 0 0 ( 4 7 0 7 6 0 0 ) + 0 0 0 7 9 5 1 0 #### 4 7 0 4 6 6 1 0 222 | 0 8 1 7 * 6 8 6 4||0 8 0 3 4 + 0 0 4 4 7 5 ( 0 8 4 7 1 6 ) + 0 0 0 8 0 3 4 ( 0 8 4 5 2 9 4 ) + 0 0 0 0 2 7 8 2 #### 0 8 4 5 4 6 3 3 223 | 1 3 9 1 * 5 0 7 1||5 5 6 9 0 + 0 0 0 0 0 0 ( 5 5 6 9 0 0 ) + 0 0 7 1 5 3 1 ( 5 5 3 1 6 3 1 ) + 0 0 0 1 3 9 1 0 #### 5 5 3 2 9 2 3 0 224 | 5 8 8 9 * 5 1 0 8||5 2 4 9 4 + 0 5 8 8 9 0 ( 5 7 2 8 4 1 ) + 0 0 0 0 0 0 0 ( 5 7 2 8 4 1 0 ) + 0 0 0 0 8 0 9 7 #### 5 7 2 8 2 2 9 7 225 | 0 9 9 5 * 3 7 7 5||0 7 9 7 1 + 0 0 3 9 1 4 ( 0 7 2 7 3 4 ) + 0 0 0 3 9 1 4 ( 0 7 2 0 3 6 4 ) + 0 0 0 0 5 9 9 2 #### 0 7 2 0 8 5 4 3 226 | 7 2 7 7 * 6 8 8 7||2 6 3 6 4 + 0 6 1 8 1 6 ( 2 2 5 4 6 6 ) + 0 0 6 1 8 1 6 ( 2 2 1 6 4 8 6 ) + 0 0 0 9 8 0 4 5 #### 2 2 1 5 3 9 0 6 227 | 5 0 9 7 * 5 8 4 4||5 2 5 9 3 + 0 0 4 2 3 6 ( 5 2 9 1 7 6 ) + 0 0 0 2 6 1 3 ( 5 2 9 3 3 8 3 ) + 0 0 0 0 2 6 1 3 #### 5 2 9 3 5 4 5 3 228 | 0 9 2 5 * 3 9 9 4||0 7 8 5 1 + 0 0 1 6 7 4 ( 0 7 9 1 9 4 ) + 0 0 0 1 6 7 4 ( 0 7 9 2 5 2 5 ) + 0 0 0 0 6 1 1 2 #### 0 7 9 2 1 4 6 2 229 | 2 7 0 1 * 8 1 0 7||6 7 5 8 0 + 0 2 7 0 1 0 ( 6 9 2 9 1 0 ) + 0 0 0 0 0 0 0 ( 6 9 2 9 1 0 0 ) + 0 0 0 4 0 5 7 0 #### 6 9 2 3 2 5 7 0 230 | 9 4 0 6 * 1 7 4 2||9 4 0 6 0 + 0 3 4 3 2 4 ( 9 7 4 9 2 4 ) + 0 0 6 9 1 4 2 ( 9 7 0 9 4 8 2 ) + 0 0 0 8 9 0 2 1 #### 9 7 0 7 4 9 4 1 231 | 9 2 6 3 * 8 8 0 2||2 3 0 9 2 + 0 2 3 0 9 2 ( 2 5 3 9 1 3 ) + 0 0 0 0 0 0 0 ( 2 5 3 9 1 3 0 ) + 0 0 0 8 5 2 7 0 #### 2 5 3 7 7 5 7 0 232 | 6 0 0 7 * 5 1 4 1||0 3 0 5 3 + 0 6 0 0 7 0 ( 0 9 0 5 0 1 ) + 0 0 4 2 0 8 2 ( 0 9 4 7 0 9 2 ) + 0 0 0 6 0 0 7 0 #### 0 9 4 3 1 9 9 0 233 | 1 5 9 8 * 9 6 2 1||9 5 5 0 8 + 0 6 0 7 3 5 ( 9 1 6 7 1 6 ) + 0 0 2 0 9 7 1 ( 9 1 8 7 0 4 2 ) + 0 0 0 1 5 9 8 0 #### 9 1 8 8 5 3 1 1 234 | 6 4 2 8 * 6 3 3 3||6 7 4 9 4 + 0 8 3 7 4 2 ( 6 5 8 6 9 2 ) + 0 0 8 3 7 4 2 ( 6 5 6 0 7 7 2 ) + 0 0 0 8 3 7 4 2 #### 6 5 6 8 0 5 7 2 235 | 9 2 9 2 * 1 6 1 2||9 2 9 2 0 + 0 4 7 5 7 1 ( 9 6 6 8 7 1 ) + 0 0 9 2 9 2 0 ( 9 6 5 1 7 4 0 ) + 0 0 0 8 5 8 5 0 #### 9 6 5 9 2 3 6 0 236 | 7 0 6 5 * 7 7 3 9||9 4 2 9 3 + 0 9 4 2 9 3 ( 9 3 7 1 3 4 ) + 0 0 1 2 8 6 1 ( 9 3 8 3 1 1 2 ) + 0 0 0 3 6 4 0 5 #### 9 3 8 6 7 5 2 5 237 | 7 2 3 2 * 3 6 1 7||1 8 9 6 0 + 0 2 6 9 3 1 ( 1 0 6 6 4 1 ) + 0 0 7 2 3 2 0 ( 1 0 3 9 7 3 0 ) + 0 0 0 9 8 2 6 1 #### 1 0 3 8 6 6 6 1 238 | 3 5 3 1 * 7 9 1 5||1 7 4 9 0 + 0 7 7 1 2 1 ( 1 4 2 1 3 1 ) + 0 0 3 5 3 1 0 ( 1 4 5 6 6 2 0 ) + 0 0 0 5 6 7 6 0 #### 1 4 5 1 3 0 7 0 239 | 0 9 3 3 * 9 5 8 7||0 1 5 0 3 + 0 0 5 9 6 1 ( 0 1 0 0 0 2 ) + 0 0 0 2 1 7 2 ( 0 1 0 2 1 9 2 ) + 0 0 0 0 3 7 3 2 #### 0 1 0 2 4 6 6 2 240 | 5 1 1 9 * 0 7 9 6||0 0 0 0 0 + 0 5 0 8 3 6 ( 0 5 0 8 3 6 ) + 0 0 5 3 0 2 8 ( 0 5 5 1 4 8 8 ) + 0 0 0 0 9 6 4 5 #### 0 5 5 1 3 5 3 6 241 | 4 6 3 9 * 3 4 8 1||2 9 0 8 2 + 0 6 5 4 7 3 ( 2 5 6 2 0 4 ) + 0 0 2 1 9 4 7 ( 2 5 8 3 9 8 7 ) + 0 0 0 4 6 3 9 0 #### 2 5 8 7 5 2 7 1 242 | 9 0 8 7 * 8 1 5 4||2 7 4 2 6 + 0 9 0 8 7 0 ( 2 6 5 0 4 1 ) + 0 0 5 4 0 9 3 ( 2 6 0 5 4 0 4 ) + 0 0 0 6 3 2 1 3 #### 2 6 0 1 8 2 5 3 243 | 0 5 6 3 * 6 0 6 5||0 0 9 1 2 + 0 0 0 0 0 0 ( 0 0 9 1 2 0 ) + 0 0 0 0 9 1 2 ( 0 0 9 1 1 2 2 ) + 0 0 0 0 5 2 8 1 #### 0 0 9 1 6 4 0 2 244 | 0 1 7 2 * 2 0 6 7||0 2 4 5 0 + 0 0 0 0 0 0 ( 0 2 4 5 0 0 ) + 0 0 0 6 2 6 1 ( 0 2 4 1 3 6 1 ) + 0 0 0 0 7 9 8 1 #### 0 2 4 1 0 6 0 2 245 | 9 7 4 9 * 9 5 4 2||1 1 3 5 8 + 0 5 9 3 7 4 ( 1 6 2 9 5 5 ) + 0 0 6 1 9 7 3 ( 1 6 8 0 5 3 4 ) + 0 0 0 8 5 9 8 1 #### 1 6 8 8 0 3 3 2 246 | 9 3 5 8 * 5 1 0 1||5 9 6 2 4 + 0 9 3 5 8 0 ( 5 8 0 8 2 1 ) + 0 0 0 0 0 0 0 ( 5 8 0 8 2 1 0 ) + 0 0 0 9 3 5 8 0 #### 5 8 0 7 6 6 8 0 247 | 9 8 3 6 * 1 2 8 5||9 8 3 6 0 + 0 8 7 7 2 1 ( 9 6 1 4 3 1 ) + 0 0 2 1 1 1 5 ( 9 6 3 5 4 2 5 ) + 0 0 0 5 4 9 1 3 #### 9 6 3 0 9 1 7 3 248 | 3 0 3 2 * 1 3 7 8||3 0 3 2 0 + 0 9 0 9 6 0 ( 3 9 3 1 7 0 ) + 0 0 1 2 1 6 1 ( 3 9 4 3 8 6 1 ) + 0 0 0 4 2 4 8 1 #### 3 9 4 7 0 1 0 2 249 | 3 6 1 6 * 1 4 6 2||3 6 1 6 0 + 0 2 5 6 4 2 ( 3 8 6 2 5 2 ) + 0 0 8 7 9 6 3 ( 3 8 4 0 5 9 3 ) + 0 0 0 6 2 3 2 1 #### 3 8 4 6 7 2 6 1 250 | 5 2 7 8 * 1 8 7 3||5 2 7 8 0 + 0 0 0 8 9 6 ( 5 2 7 6 0 7 ) + 0 0 5 7 0 1 6 ( 5 2 2 4 1 8 6 ) + 0 0 0 5 7 1 6 2 #### 5 2 2 9 8 9 2 3 251 | 3 4 0 1 * 2 3 0 9||6 8 0 2 0 + 0 9 2 1 3 0 ( 6 7 3 3 3 0 ) + 0 0 0 0 0 0 0 ( 6 7 3 3 3 0 0 ) + 0 0 0 7 8 3 9 0 #### 6 7 3 0 2 4 9 0 252 | 6 4 9 3 * 5 1 4 7||0 3 7 9 1 + 0 6 4 9 3 0 ( 0 9 1 9 5 0 ) + 0 0 4 8 7 5 1 ( 0 9 5 7 3 6 1 ) + 0 0 0 2 2 6 7 2 #### 0 9 5 9 5 2 9 2 253 | 3 8 5 5 * 3 4 1 4||9 4 7 6 1 + 0 2 3 3 2 2 ( 9 6 0 0 4 2 ) + 0 0 3 8 5 5 0 ( 9 6 3 8 9 7 0 ) + 0 0 0 2 3 3 2 2 #### 9 6 3 0 3 1 3 2 254 | 5 5 1 6 * 5 6 2 2||5 7 7 0 3 + 0 0 3 9 6 3 ( 5 7 0 0 0 4 ) + 0 0 0 1 3 2 1 ( 5 7 0 1 3 6 1 ) + 0 0 0 0 1 3 2 1 #### 5 7 0 1 4 9 3 1 255 | 2 8 3 6 * 5 8 7 4||0 1 9 1 3 + 0 6 5 0 1 5 ( 0 7 4 2 4 5 ) + 0 0 4 7 6 4 4 ( 0 7 8 9 0 0 5 ) + 0 0 0 8 2 5 5 2 #### 0 7 8 7 3 5 0 3 256 | 2 9 9 2 * 9 7 8 2||8 2 9 6 2 + 0 4 4 9 0 2 ( 8 6 3 6 3 2 ) + 0 0 6 3 9 3 2 ( 8 6 9 9 2 6 2 ) + 0 0 0 4 8 9 5 0 #### 8 6 9 3 1 6 8 0 257 | 2 3 7 9 * 4 5 1 9||8 2 9 8 3 + 0 0 6 6 8 4 ( 8 2 5 5 2 5 ) + 0 0 2 3 7 9 0 ( 8 2 7 8 9 4 1 ) + 0 0 0 8 8 5 7 8 #### 8 2 7 6 8 0 9 8 258 | 2 3 9 8 * 3 0 0 2||6 9 7 6 2 + 0 0 0 0 0 0 ( 6 9 7 6 2 0 ) + 0 0 0 0 0 0 0 ( 6 9 7 6 2 0 0 ) + 0 0 0 4 6 8 7 1 #### 6 9 7 0 9 8 7 1 259 | 0 1 4 1 * 3 2 0 1||0 3 2 4 0 + 0 0 2 8 2 0 ( 0 3 4 2 3 0 ) + 0 0 0 0 0 0 0 ( 0 3 4 2 3 0 0 ) + 0 0 0 0 1 4 1 0 #### 0 3 4 2 4 4 1 0 260 | 4 7 4 7 * 8 8 7 4||2 9 7 9 5 + 0 2 9 7 9 5 ( 2 1 7 7 5 6 ) + 0 0 8 1 3 2 5 ( 2 1 5 9 8 8 5 ) + 0 0 0 6 9 8 9 2 #### 2 1 5 5 8 7 5 3 261 | 3 0 8 3 * 5 0 8 9||5 1 0 9 1 + 0 0 0 0 0 0 ( 5 1 0 9 1 0 ) + 0 0 4 2 4 0 3 ( 5 1 4 1 6 0 3 ) + 0 0 0 7 2 2 4 3 #### 5 1 4 8 8 2 7 3 262 | 5 4 7 3 * 5 9 2 1||5 2 7 8 1 + 0 5 0 7 3 3 ( 5 7 7 5 5 3 ) + 0 0 0 9 4 7 0 ( 5 7 7 4 0 1 1 ) + 0 0 0 5 4 7 3 0 #### 5 7 7 9 4 8 4 0 263 | 1 3 9 7 * 3 6 2 5||3 9 7 3 2 + 0 6 8 5 7 4 ( 3 5 6 9 9 4 ) + 0 0 2 6 8 5 1 ( 3 5 8 5 8 0 2 ) + 0 0 0 5 5 6 9 3 #### 3 5 8 0 4 7 1 4 264 | 6 0 0 9 * 8 5 4 4||8 4 0 2 7 + 0 0 3 0 5 4 ( 8 4 3 2 2 5 ) + 0 0 4 2 0 6 3 ( 8 4 7 4 2 1 4 ) + 0 0 0 4 2 0 6 3 #### 8 4 7 8 4 1 0 4 265 | 9 4 0 8 * 1 5 3 6||9 4 0 8 0 + 0 5 4 2 0 4 ( 9 9 4 0 1 4 ) + 0 0 7 4 1 4 2 ( 9 9 1 5 2 8 2 ) + 0 0 0 4 9 2 8 4 #### 9 9 1 9 1 1 1 5 266 | 2 3 2 9 * 4 6 2 6||8 2 9 6 3 + 0 2 9 3 5 5 ( 8 4 8 0 9 5 ) + 0 0 4 6 4 8 1 ( 8 4 2 7 3 4 2 ) + 0 0 0 2 9 3 5 5 #### 8 4 2 9 2 8 7 5 267 | 1 3 9 6 * 4 7 2 1||4 2 7 7 2 + 0 7 1 5 8 4 ( 4 9 8 2 1 5 ) + 0 0 2 6 8 3 1 ( 4 9 0 9 9 8 1 ) + 0 0 0 1 3 9 6 0 #### 4 9 0 0 3 8 8 0 268 | 1 7 7 9 * 2 1 0 5||2 4 5 9 1 + 0 1 7 7 9 0 ( 2 5 2 7 1 1 ) + 0 0 0 0 0 0 0 ( 2 5 2 7 1 1 0 ) + 0 0 0 5 5 8 8 4 #### 2 5 2 2 7 9 8 4 269 | 7 2 5 6 * 7 7 0 5||9 8 6 5 4 + 0 9 8 6 5 4 ( 9 7 5 2 0 5 ) + 0 0 0 0 0 0 0 ( 9 7 5 2 0 5 0 ) + 0 0 0 5 3 6 2 3 #### 9 7 5 7 3 1 3 3 270 | 5 6 9 2 * 8 4 9 3||0 2 7 3 2 + 0 0 6 8 1 1 ( 0 2 3 2 4 1 ) + 0 0 5 8 6 6 2 ( 0 2 8 0 1 8 2 ) + 0 0 0 5 9 8 8 0 #### 0 2 8 5 0 7 1 1 271 | 0 9 6 2 * 7 2 4 8||0 3 8 8 1 + 0 0 8 3 5 0 ( 0 3 6 2 7 0 ) + 0 0 0 6 7 0 1 ( 0 3 6 8 4 1 1 ) + 0 0 0 0 2 5 1 2 #### 0 3 6 8 6 6 2 2 272 | 5 0 0 6 * 4 8 2 9||0 2 0 4 2 + 0 0 4 0 8 4 ( 0 2 4 4 0 5 ) + 0 0 0 1 0 2 1 ( 0 2 4 5 0 7 1 ) + 0 0 0 5 4 0 4 5 #### 0 2 4 0 5 7 5 5 273 | 2 8 1 7 * 0 8 5 9||0 0 0 0 0 + 0 6 5 4 7 5 ( 0 6 5 4 7 5 ) + 0 0 0 1 9 5 3 ( 0 6 5 5 6 1 4 ) + 0 0 0 8 3 6 4 6 #### 0 6 5 3 0 8 8 6 274 | 9 7 8 7 * 8 3 3 7||2 3 0 3 6 + 0 7 3 6 3 2 ( 2 0 4 9 9 2 ) + 0 0 7 3 6 3 2 ( 2 0 1 3 6 6 2 ) + 0 0 0 3 5 1 5 5 #### 2 0 1 6 1 8 7 5 275 | 8 7 1 4 * 0 7 7 8||0 0 0 0 0 + 0 6 4 2 9 2 ( 0 6 4 2 9 2 ) + 0 0 6 4 2 9 2 ( 0 6 0 7 1 2 3 ) + 0 0 0 4 2 4 3 3 #### 0 6 0 1 4 6 6 3 276 | 0 1 9 7 * 8 2 0 3||0 8 2 3 6 + 0 0 2 8 5 1 ( 0 8 4 1 2 2 ) + 0 0 0 0 0 0 0 ( 0 8 4 1 2 2 0 ) + 0 0 0 0 3 7 3 2 #### 0 8 4 1 5 9 3 2 277 | 2 1 9 1 * 4 6 9 7||8 4 6 7 0 + 0 2 7 4 1 1 ( 8 6 3 2 2 1 ) + 0 0 8 0 2 7 1 ( 8 6 1 3 4 8 1 ) + 0 0 0 4 8 3 3 1 #### 8 6 1 7 2 2 5 1 278 | 7 5 2 5 * 6 9 4 7||2 4 5 1 3 + 0 3 1 3 7 4 ( 2 7 6 4 0 5 ) + 0 0 8 2 0 1 2 ( 2 7 4 7 0 6 2 ) + 0 0 0 9 9 7 6 3 #### 2 7 4 6 0 4 9 3 279 | 5 9 6 9 * 5 3 6 9||5 7 4 8 4 + 0 5 8 0 9 2 ( 5 2 3 9 3 3 ) + 0 0 0 7 1 8 5 ( 5 2 3 6 5 1 6 ) + 0 0 0 5 5 2 7 8 #### 5 2 3 1 1 4 3 9 280 | 9 4 5 4 * 6 7 1 9||4 9 2 7 2 + 0 3 4 8 1 3 ( 4 2 7 5 4 3 ) + 0 0 9 4 5 4 0 ( 4 2 6 0 0 8 0 ) + 0 0 0 1 4 9 0 4 #### 4 2 6 1 4 7 1 4 281 | 5 8 7 6 * 1 6 1 7||5 8 7 6 0 + 0 0 1 7 0 4 ( 5 8 8 3 1 4 ) + 0 0 5 8 7 6 0 ( 5 8 3 2 9 0 1 ) + 0 0 0 5 9 4 7 4 #### 5 8 3 7 8 5 8 4 282 | 7 7 7 2 * 3 5 6 5||1 3 3 8 0 + 0 5 8 8 3 1 ( 1 8 1 7 4 1 ) + 0 0 2 6 6 6 1 ( 1 8 3 3 1 8 1 ) + 0 0 0 5 8 8 3 1 #### 1 8 3 8 9 6 5 1 283 | 2 7 9 3 * 9 8 3 3||8 4 7 5 3 + 0 6 7 7 1 3 ( 8 0 5 3 5 3 ) + 0 0 6 1 9 1 1 ( 8 0 1 5 4 5 1 ) + 0 0 0 6 1 9 1 1 #### 8 0 1 1 6 4 3 1 284 | 3 7 6 5 * 3 5 5 3||9 1 0 7 1 + 0 5 6 3 8 2 ( 9 6 6 0 0 3 ) + 0 0 5 6 3 8 2 ( 9 6 1 7 3 1 3 ) + 0 0 0 9 1 0 7 1 #### 9 6 1 6 5 1 0 2 285 | 3 0 5 5 * 8 9 8 9||4 2 0 4 4 + 0 7 2 5 9 4 ( 4 9 2 9 3 5 ) + 0 0 4 2 0 4 4 ( 4 9 6 1 4 9 4 ) + 0 0 0 7 2 5 9 4 #### 4 9 6 8 6 4 4 5 286 | 3 7 1 3 * 4 6 5 4||2 9 6 2 1 + 0 8 3 0 9 1 ( 2 7 0 3 0 2 ) + 0 0 5 6 8 5 1 ( 2 7 5 9 8 7 1 ) + 0 0 0 2 9 6 2 1 #### 2 7 5 1 8 4 4 1 287 | 0 9 8 9 * 5 1 1 2||0 5 4 9 4 + 0 0 9 8 9 0 ( 0 5 3 8 4 1 ) + 0 0 0 9 8 9 0 ( 0 5 3 7 3 1 1 ) + 0 0 0 0 8 7 9 1 #### 0 5 3 7 1 9 0 2 288 | 7 5 1 8 * 4 9 7 2||8 2 6 2 3 + 0 3 1 4 3 7 ( 8 5 7 6 6 7 ) + 0 0 9 9 0 7 5 ( 8 5 6 6 7 4 6 ) + 0 0 0 4 1 3 6 1 #### 8 5 6 0 9 7 2 2 289 | 9 3 8 8 * 2 3 7 7||8 7 6 7 1 + 0 7 1 5 6 2 ( 8 4 8 2 8 2 ) + 0 0 3 7 8 1 6 ( 8 4 1 0 7 4 6 ) + 0 0 0 3 7 8 1 6 #### 8 4 1 3 4 3 8 6 290 | 9 4 5 1 * 0 8 8 2||0 0 0 0 0 + 0 2 9 3 2 1 ( 0 2 9 3 2 1 ) + 0 0 2 9 3 2 1 ( 0 2 1 3 6 3 1 ) + 0 0 0 8 9 0 3 0 #### 0 2 1 1 6 4 4 0 291 | 8 2 3 1 * 3 6 5 1||4 8 9 3 0 + 0 8 6 9 7 0 ( 4 6 6 3 8 0 ) + 0 0 0 4 6 6 0 ( 4 6 6 7 4 7 0 ) + 0 0 0 8 2 3 1 0 #### 4 6 6 5 7 0 2 0 292 | 1 6 5 8 * 5 3 5 6||5 0 8 2 4 + 0 3 8 6 5 2 ( 5 3 6 9 9 2 ) + 0 0 5 0 8 2 4 ( 5 3 1 0 8 5 4 ) + 0 0 0 6 6 3 1 5 #### 5 3 1 6 4 9 5 5 293 | 0 4 0 8 * 8 1 1 8||0 2 3 4 6 + 0 0 4 0 8 0 ( 0 2 7 4 4 1 ) + 0 0 0 4 0 8 0 ( 0 2 7 8 4 9 0 ) + 0 0 0 0 2 3 4 6 #### 0 2 7 8 6 2 5 6 294 | 7 1 0 8 * 8 4 8 2||6 3 1 4 6 + 0 8 6 0 2 3 ( 6 1 8 4 8 3 ) + 0 0 6 3 1 4 6 ( 6 1 4 8 9 7 6 ) + 0 0 0 4 3 0 6 1 #### 6 1 4 2 3 8 2 2 295 | 7 9 1 8 * 9 9 3 6||3 7 7 3 7 + 0 3 7 7 3 7 ( 3 0 5 1 1 8 ) + 0 0 1 9 5 4 2 ( 3 0 6 0 7 2 3 ) + 0 0 0 2 8 1 9 4 #### 3 0 6 2 5 4 2 5 296 | 7 0 9 4 * 2 0 9 1||4 1 8 9 0 + 0 0 0 0 0 0 ( 4 1 8 9 0 0 ) + 0 0 3 6 1 4 4 ( 4 1 1 6 2 4 4 ) + 0 0 0 7 0 9 4 0 #### 4 1 1 3 3 3 9 0 297 | 2 8 2 4 * 6 8 2 5||2 9 6 5 2 + 0 6 5 2 4 3 ( 2 5 2 8 6 3 ) + 0 0 4 6 5 8 0 ( 2 5 6 4 2 2 1 ) + 0 0 0 0 1 4 1 2 #### 2 5 6 4 3 6 2 2 298 | 4 0 9 7 * 8 3 0 1||2 3 2 3 6 + 0 2 1 7 3 2 ( 2 5 3 0 0 3 ) + 0 0 0 0 0 0 0 ( 2 5 3 0 0 3 0 ) + 0 0 0 4 0 9 7 0 #### 2 5 3 4 0 2 8 0 299 | 9 5 5 6 * 8 2 6 8||2 7 4 2 5 + 0 8 1 1 3 1 ( 2 5 6 3 8 1 ) + 0 0 4 5 3 9 3 ( 2 5 0 9 1 1 4 ) + 0 0 0 2 7 4 2 5 #### 2 5 0 1 9 5 6 5 300 | 6 0 9 5 * 4 1 9 7||4 2 6 3 2 + 0 6 0 9 5 0 ( 4 8 6 2 8 0 ) + 0 0 4 5 1 3 5 ( 4 8 0 8 9 3 5 ) + 0 0 0 2 4 3 1 4 #### 4 8 0 0 4 7 6 4 301 | 1 7 3 7 * 7 0 7 7||7 9 5 1 5 + 0 0 0 0 0 0 ( 7 9 5 1 5 0 ) + 0 0 7 9 5 1 5 ( 7 9 2 1 1 2 5 ) + 0 0 0 7 9 5 1 5 #### 7 9 2 8 0 8 6 5 302 | 7 6 0 6 * 6 3 6 6||2 0 4 6 3 + 0 1 0 2 8 1 ( 2 1 4 8 1 2 ) + 0 0 2 0 4 6 3 ( 2 1 6 8 5 8 3 ) + 0 0 0 2 0 4 6 3 #### 2 1 6 0 6 2 0 4 303 | 9 5 0 5 * 0 5 5 8||0 0 0 0 0 + 0 5 9 2 5 2 ( 0 5 9 2 5 2 ) + 0 0 5 9 2 5 2 ( 0 5 4 2 8 7 2 ) + 0 0 0 2 7 4 0 4 #### 0 5 4 4 5 2 3 4 304 | 7 3 7 9 * 4 6 6 3||8 4 9 8 3 + 0 2 2 4 8 5 ( 8 6 1 3 2 6 ) + 0 0 2 2 4 8 5 ( 8 6 3 5 6 4 6 ) + 0 0 0 1 1 2 9 2 #### 8 6 3 6 7 6 5 3 305 | 7 7 6 4 * 3 7 1 2||1 3 0 4 1 + 0 9 3 7 2 3 ( 1 2 4 1 4 3 ) + 0 0 7 7 6 4 0 ( 1 2 1 9 0 8 0 ) + 0 0 0 4 5 3 9 0 #### 1 2 1 3 6 1 0 1 306 | 3 1 8 2 * 8 7 4 8||4 0 5 2 2 + 0 1 9 6 9 1 ( 4 1 4 9 1 2 ) + 0 0 2 5 2 1 1 ( 4 1 6 4 4 3 1 ) + 0 0 0 4 0 5 2 2 #### 4 1 6 8 4 8 3 2 307 | 6 3 6 9 * 5 5 1 5||0 8 1 8 4 + 0 0 8 1 8 4 ( 0 8 9 9 2 5 ) + 0 0 6 3 6 9 0 ( 0 8 5 3 9 4 1 ) + 0 0 0 0 8 1 8 4 #### 0 8 5 3 7 6 9 4 308 | 5 8 5 9 * 2 1 6 7||0 7 1 9 1 + 0 5 8 5 9 0 ( 0 2 0 5 1 1 ) + 0 0 0 1 5 7 5 ( 0 2 0 6 6 8 5 ) + 0 0 0 5 9 0 7 6 #### 0 2 0 1 6 9 2 7 309 | 0 9 5 3 * 4 9 3 9||0 6 3 4 1 + 0 0 1 3 2 3 ( 0 6 4 7 3 3 ) + 0 0 0 7 7 0 1 ( 0 6 4 4 1 4 1 ) + 0 0 0 0 1 3 2 3 #### 0 6 4 4 2 7 3 3 310 | 5 1 6 8 * 7 0 3 9||5 0 3 0 6 + 0 0 0 0 0 0 ( 5 0 3 0 6 0 ) + 0 0 5 4 8 5 2 ( 5 0 8 4 4 6 2 ) + 0 0 0 5 3 5 7 7 #### 5 0 8 9 7 1 0 8 311 | 0 1 8 1 * 8 9 4 4||0 8 4 4 1 + 0 0 9 2 6 1 ( 0 8 3 7 7 1 ) + 0 0 0 4 2 7 0 ( 0 8 3 1 0 9 0 ) + 0 0 0 0 4 2 7 0 #### 0 8 3 1 4 1 8 0 312 | 5 6 1 2 * 4 2 9 7||0 6 6 8 0 + 0 0 3 3 4 0 ( 0 6 9 1 5 0 ) + 0 0 5 8 4 9 1 ( 0 6 4 0 0 0 2 ) + 0 0 0 5 5 1 5 1 #### 0 6 4 5 5 1 7 1 313 | 5 6 5 7 * 6 2 8 2||0 9 3 5 4 + 0 0 3 1 5 1 ( 0 9 6 6 9 1 ) + 0 0 0 2 5 0 6 ( 0 9 6 8 4 2 6 ) + 0 0 0 0 3 1 5 1 #### 0 9 6 8 7 3 1 2 314 | 8 2 6 1 * 6 3 6 7||8 6 7 9 0 + 0 4 8 8 4 0 ( 8 0 6 8 5 0 ) + 0 0 8 6 7 9 0 ( 8 0 4 5 3 0 1 ) + 0 0 0 6 9 3 1 1 #### 8 0 4 1 3 4 2 1 315 | 0 2 4 6 * 0 4 9 2||0 0 0 0 0 + 0 0 8 6 5 2 ( 0 0 8 6 5 2 ) + 0 0 0 8 7 7 5 ( 0 0 8 4 3 0 6 ) + 0 0 0 0 4 8 2 1 #### 0 0 8 4 7 8 8 1 316 | 9 3 4 4 * 0 2 7 2||0 0 0 0 0 + 0 8 7 8 8 0 ( 0 8 7 8 8 0 ) + 0 0 3 7 0 1 3 ( 0 8 0 6 9 1 3 ) + 0 0 0 8 7 8 8 0 #### 0 8 0 4 7 0 2 1 317 | 6 0 2 4 * 8 7 4 9||8 4 6 3 3 + 0 2 4 4 9 2 ( 8 6 0 8 2 3 ) + 0 0 4 2 8 6 1 ( 8 6 4 0 1 0 2 ) + 0 0 0 4 5 8 7 3 #### 8 6 4 4 6 8 9 3 318 | 3 3 8 3 * 0 7 9 1||0 0 0 0 0 + 0 1 3 8 6 2 ( 0 1 3 8 6 2 ) + 0 0 7 9 4 4 3 ( 0 1 0 8 1 7 3 ) + 0 0 0 3 3 8 3 0 #### 0 1 0 1 5 5 7 0 319 | 3 9 5 9 * 3 2 8 5||9 7 7 8 2 + 0 6 8 1 9 1 ( 9 3 6 0 2 2 ) + 0 0 4 4 7 6 7 ( 9 3 0 5 9 8 7 ) + 0 0 0 5 6 9 7 4 #### 9 3 0 0 6 8 5 5 320 | 6 8 5 5 * 0 7 7 3||0 0 0 0 0 + 0 2 0 1 9 3 ( 0 2 0 1 9 3 ) + 0 0 2 0 1 9 3 ( 0 2 2 1 0 3 4 ) + 0 0 0 8 5 7 6 1 #### 0 2 2 9 5 0 1 2 321 | 5 5 3 1 * 8 4 6 1||0 4 8 0 1 + 0 0 2 4 5 0 ( 0 4 0 5 6 0 ) + 0 0 0 3 1 8 0 ( 0 4 0 8 7 8 0 ) + 0 0 0 5 5 3 1 0 #### 0 4 0 3 3 2 2 0 322 | 0 9 1 7 * 2 4 0 2||0 8 3 4 1 + 0 0 6 7 8 2 ( 0 8 9 1 0 3 ) + 0 0 0 0 0 0 0 ( 0 8 9 1 0 3 0 ) + 0 0 0 0 8 3 4 1 #### 0 8 9 1 8 6 4 1 323 | 9 1 4 3 * 2 3 6 4||8 3 8 6 0 + 0 7 5 2 0 1 ( 8 0 4 9 0 1 ) + 0 0 4 1 5 0 2 ( 8 0 8 0 6 1 2 ) + 0 0 0 6 7 6 3 1 #### 8 0 8 6 3 8 5 1 324 | 0 1 6 9 * 2 6 1 6||0 2 2 9 1 + 0 0 6 6 7 5 ( 0 2 8 5 9 5 ) + 0 0 0 1 6 9 0 ( 0 2 8 6 5 5 1 ) + 0 0 0 0 6 6 7 5 #### 0 2 8 6 1 2 9 5 325 | 7 7 2 4 * 9 8 1 4||3 9 4 8 3 + 0 6 1 2 4 3 ( 3 5 6 0 8 3 ) + 0 0 7 7 2 4 0 ( 3 5 3 8 0 8 0 ) + 0 0 0 8 0 1 7 1 #### 3 5 3 6 1 9 7 1 326 | 7 7 6 2 * 8 1 1 3||6 1 4 1 2 + 0 7 7 6 2 0 ( 6 8 1 8 4 0 ) + 0 0 7 7 6 2 0 ( 6 8 8 5 1 3 0 ) + 0 0 0 1 3 0 8 0 #### 6 8 8 6 4 3 8 0 327 | 0 2 8 3 * 3 2 7 8||0 6 4 1 1 + 0 0 4 6 7 0 ( 0 6 8 7 8 0 ) + 0 0 0 4 7 6 2 ( 0 6 8 1 6 7 2 ) + 0 0 0 0 6 5 0 3 #### 0 6 8 1 2 3 3 3 328 | 0 7 8 8 * 9 9 0 2||0 3 8 9 7 + 0 0 3 8 9 7 ( 0 3 1 8 7 8 ) + 0 0 0 0 0 0 0 ( 0 3 1 8 7 8 0 ) + 0 0 0 0 4 7 7 1 #### 0 3 1 8 1 6 8 1 329 | 8 2 1 1 * 6 6 6 2||8 6 7 6 0 + 0 8 6 7 6 0 ( 8 4 4 4 7 0 ) + 0 0 8 6 7 6 0 ( 8 4 2 1 5 7 0 ) + 0 0 0 6 5 2 2 0 #### 8 4 2 7 0 0 3 0 330 | 4 6 1 8 * 7 5 4 4||8 4 1 7 5 + 0 0 2 8 0 4 ( 8 4 3 5 6 4 ) + 0 0 6 5 6 2 3 ( 8 4 9 0 3 7 3 ) + 0 0 0 6 5 6 2 3 #### 8 4 9 6 8 3 6 3 331 | 9 8 1 3 * 5 3 9 9||5 4 9 5 1 + 0 7 6 5 9 0 ( 5 1 6 1 1 1 ) + 0 0 1 0 7 8 2 ( 5 1 7 1 8 9 2 ) + 0 0 0 1 0 7 8 2 #### 5 1 7 2 8 6 1 3 332 | 7 7 1 6 * 9 8 7 8||3 9 5 5 5 + 0 6 1 4 9 4 ( 3 5 7 9 4 5 ) + 0 0 9 3 2 3 4 ( 3 5 6 3 7 8 4 ) + 0 0 0 6 1 4 9 4 #### 3 5 6 9 8 2 4 5 333 | 9 3 0 4 * 4 6 7 9||6 5 1 6 1 + 0 4 3 2 4 2 ( 6 9 4 8 5 2 ) + 0 0 3 7 2 8 2 ( 6 9 7 5 8 0 3 ) + 0 0 0 1 5 3 6 3 #### 6 9 7 6 3 4 9 3 334 | 9 6 9 9 * 0 4 7 7||0 0 0 0 0 + 0 6 7 8 9 3 ( 0 6 7 8 9 3 ) + 0 0 3 8 7 9 6 ( 0 6 0 7 7 3 7 ) + 0 0 0 3 8 7 9 6 #### 0 6 0 0 6 1 7 7 335 | 3 8 6 8 * 4 2 1 9||2 3 7 4 3 + 0 6 6 3 7 1 ( 2 9 3 8 0 2 ) + 0 0 3 8 6 8 0 ( 2 9 6 6 7 0 1 ) + 0 0 0 7 4 1 8 7 #### 2 9 6 3 2 2 9 7 336 | 3 9 2 3 * 4 3 4 9||2 7 1 3 1 + 0 9 7 8 9 0 ( 2 6 9 1 1 1 ) + 0 0 2 7 1 3 1 ( 2 6 1 9 2 4 1 ) + 0 0 0 7 3 6 9 2 #### 2 6 1 6 6 0 1 3 337 | 8 7 8 4 * 9 3 5 4||2 0 9 3 4 + 0 4 3 6 4 1 ( 2 4 2 0 9 1 ) + 0 0 0 9 3 4 2 ( 2 4 2 9 2 6 2 ) + 0 0 0 2 1 5 9 1 #### 2 4 2 1 4 1 2 2 338 | 5 2 0 3 * 7 8 5 9||5 7 1 1 2 + 0 0 0 2 4 2 ( 5 7 1 3 6 2 ) + 0 0 5 2 1 5 1 ( 5 7 6 5 7 7 1 ) + 0 0 0 5 2 2 7 2 #### 5 7 6 0 0 0 9 2 339 | 8 3 0 6 * 9 0 1 9||2 4 3 4 5 + 0 0 0 0 0 0 ( 2 4 3 4 5 0 ) + 0 0 8 3 0 6 0 ( 2 4 1 8 5 6 0 ) + 0 0 0 2 4 3 4 5 #### 2 4 1 0 0 0 5 5 340 | 6 9 5 8 * 3 6 8 7||8 8 7 5 2 + 0 6 7 5 1 5 ( 8 4 5 1 4 5 ) + 0 0 8 6 7 8 6 ( 8 4 3 8 1 4 7 ) + 0 0 0 2 7 1 0 6 #### 8 4 3 0 9 5 7 6 341 | 8 1 7 2 * 1 4 8 4||8 1 7 2 0 + 0 2 7 8 0 1 ( 8 3 4 1 1 1 ) + 0 0 4 4 7 1 2 ( 8 3 8 5 8 2 2 ) + 0 0 0 2 7 8 0 1 #### 8 3 8 7 5 1 3 1 342 | 4 6 8 8 * 6 8 9 9||4 8 1 3 5 + 0 2 1 9 0 7 ( 4 0 3 2 6 7 ) + 0 0 6 7 7 9 7 ( 4 0 9 9 3 7 8 ) + 0 0 0 6 7 7 9 7 #### 4 0 9 5 1 5 8 8 343 | 0 3 0 5 * 1 6 1 2||0 3 0 5 0 + 0 0 8 1 0 3 ( 0 3 8 6 0 3 ) + 0 0 0 3 0 5 0 ( 0 3 8 9 0 8 0 ) + 0 0 0 0 6 0 0 1 #### 0 3 8 9 6 8 0 1 344 | 7 4 8 9 * 6 4 3 9||2 8 0 9 5 + 0 8 8 3 9 3 ( 2 6 9 2 5 4 ) + 0 0 1 4 5 9 2 ( 2 6 0 7 0 4 3 ) + 0 0 0 3 2 6 8 8 #### 2 6 0 0 3 0 2 9 345 | 7 2 6 4 * 9 9 8 2||3 4 6 1 4 + 0 3 4 6 1 4 ( 3 7 0 8 5 4 ) + 0 0 6 1 0 7 3 ( 3 7 6 9 5 1 4 ) + 0 0 0 4 5 2 9 0 #### 3 7 6 3 1 4 3 1 346 | 1 8 9 8 * 3 9 8 6||3 4 9 6 2 + 0 9 2 8 0 8 ( 3 3 2 5 3 8 ) + 0 0 8 4 8 1 7 ( 3 3 0 0 2 0 8 ) + 0 0 0 6 8 8 3 5 #### 3 3 0 6 0 9 1 6 347 | 1 8 0 5 * 4 8 0 6||4 2 3 0 2 + 0 8 4 6 0 4 ( 4 0 8 6 2 4 ) + 0 0 0 0 0 0 0 ( 4 0 8 6 2 4 0 ) + 0 0 0 6 8 4 0 3 #### 4 0 8 2 1 9 0 3 348 | 8 2 3 9 * 2 3 9 2||6 5 6 8 1 + 0 4 8 9 7 2 ( 6 9 4 8 9 2 ) + 0 0 2 5 9 3 8 ( 6 9 6 3 9 6 8 ) + 0 0 0 6 5 6 8 1 #### 6 9 6 9 4 3 7 2 349 | 4 6 7 3 * 7 5 6 1||8 4 3 6 2 + 0 0 2 8 8 1 ( 8 4 5 4 1 2 ) + 0 0 4 8 5 2 2 ( 8 4 9 2 7 4 2 ) + 0 0 0 4 6 7 3 0 #### 8 4 9 6 3 2 6 0 350 | 1 6 5 1 * 0 7 8 8||0 0 0 0 0 + 0 7 2 9 0 1 ( 0 7 2 9 0 1 ) + 0 0 8 8 4 2 1 ( 0 7 0 8 5 3 1 ) + 0 0 0 8 8 4 2 1 #### 0 7 0 6 4 8 3 1 351 | 6 8 2 4 * 4 4 2 1||4 4 1 7 1 + 0 4 4 1 7 1 ( 4 8 5 8 8 1 ) + 0 0 2 7 5 8 0 ( 4 8 7 5 4 0 1 ) + 0 0 0 6 8 2 4 0 #### 4 8 7 1 3 3 5 0 352 | 9 2 4 8 * 1 9 2 2||9 2 4 8 0 + 0 1 6 8 5 7 ( 9 3 0 7 6 7 ) + 0 0 8 5 8 6 1 ( 9 3 8 2 5 4 2 ) + 0 0 0 8 5 8 6 1 #### 9 3 8 0 1 3 9 1 353 | 3 1 5 2 * 6 8 7 5||8 7 0 5 1 + 0 4 0 1 0 2 ( 8 1 1 6 1 2 ) + 0 0 1 9 5 7 1 ( 8 1 2 5 7 9 1 ) + 0 0 0 5 6 5 2 1 #### 8 1 2 0 4 5 4 1 354 | 1 3 9 5 * 0 4 3 4||0 0 0 0 0 + 0 4 2 7 3 2 ( 0 4 2 7 3 2 ) + 0 0 3 9 7 7 1 ( 0 4 5 6 1 0 2 ) + 0 0 0 4 2 7 3 2 #### 0 4 5 0 4 7 5 2 355 | 5 9 6 9 * 7 8 8 5||5 6 8 7 6 + 0 0 6 5 7 7 ( 5 6 4 3 4 8 ) + 0 0 0 6 5 7 7 ( 5 6 4 9 9 5 8 ) + 0 0 0 5 7 4 8 4 #### 5 6 4 4 7 0 7 5 356 | 0 5 1 1 * 9 2 6 6||0 5 3 0 1 + 0 0 0 3 2 0 ( 0 5 3 3 3 0 ) + 0 0 0 0 9 6 0 ( 0 5 3 3 2 7 0 ) + 0 0 0 0 0 9 6 0 #### 0 5 3 3 2 6 7 0 357 | 8 5 5 7 * 7 3 8 6||6 0 9 2 5 + 0 4 7 6 2 2 ( 6 4 6 9 7 2 ) + 0 0 4 6 4 0 6 ( 6 4 0 6 2 3 6 ) + 0 0 0 8 4 3 5 4 #### 6 4 0 4 7 6 1 5 358 | 5 0 1 9 * 9 4 6 7||5 4 9 1 8 + 0 0 2 4 6 3 ( 5 4 1 6 4 4 ) + 0 0 0 3 6 4 5 ( 5 4 1 9 0 9 5 ) + 0 0 0 5 3 7 3 6 #### 5 4 1 4 4 6 9 6 359 | 9 6 6 4 * 5 5 7 8||5 4 3 3 2 + 0 5 4 3 3 2 ( 5 9 7 6 5 2 ) + 0 0 3 8 6 2 3 ( 5 9 0 5 2 5 3 ) + 0 0 0 2 5 3 7 3 #### 5 9 0 7 7 8 0 4 360 | 2 5 5 1 * 4 1 8 7||8 0 2 6 0 + 0 2 5 5 1 0 ( 8 2 7 1 2 0 ) + 0 0 6 1 4 2 1 ( 8 2 3 3 6 2 1 ) + 0 0 0 4 6 8 0 1 #### 8 2 3 7 2 1 2 1 361 | 4 1 6 9 * 6 7 9 2||4 8 6 7 5 + 0 8 9 2 7 6 ( 4 6 6 0 3 7 ) + 0 0 6 2 5 6 8 ( 4 6 2 3 8 3 9 ) + 0 0 0 8 2 2 9 1 #### 4 6 2 1 1 6 8 2 362 | 4 1 5 3 * 2 4 1 1||8 2 0 7 0 + 0 6 5 0 4 1 ( 8 8 5 7 4 1 ) + 0 0 4 1 5 3 0 ( 8 8 9 8 9 4 0 ) + 0 0 0 4 1 5 3 0 #### 8 8 9 2 1 0 4 0 363 | 9 5 3 8 * 0 9 0 4||0 0 0 0 0 + 0 1 3 2 5 7 ( 0 1 3 2 5 7 ) + 0 0 0 0 0 0 0 ( 0 1 3 2 5 7 0 ) + 0 0 0 6 3 4 3 3 #### 0 1 3 8 8 1 4 3 364 | 0 4 0 5 * 8 8 8 2||0 2 3 0 4 + 0 0 2 3 0 4 ( 0 2 5 3 4 4 ) + 0 0 0 2 3 0 4 ( 0 2 5 5 7 4 4 ) + 0 0 0 0 8 0 0 1 #### 0 2 5 5 5 5 4 1 365 | 5 7 2 7 * 0 0 5 2||0 0 0 0 0 + 0 0 0 0 0 0 ( 0 0 0 0 0 0 ) + 0 0 5 7 3 6 3 ( 0 0 5 7 3 6 3 ) + 0 0 0 0 5 5 4 1 #### 0 0 5 7 8 1 8 1 366 | 5 5 4 8 * 9 0 7 6||5 9 0 6 7 + 0 0 0 0 0 0 ( 5 9 0 6 7 0 ) + 0 0 5 8 1 9 5 ( 5 9 5 4 9 9 5 ) + 0 0 0 0 3 7 0 5 #### 5 9 5 4 2 7 6 5 367 | 8 6 2 5 * 8 1 5 8||4 4 1 2 4 + 0 8 6 2 5 0 ( 4 2 8 4 9 0 ) + 0 0 0 4 3 6 2 ( 4 2 8 8 2 7 2 ) + 0 0 0 4 4 1 2 4 #### 4 2 8 2 7 8 4 4 368 | 6 1 4 9 * 3 5 8 2||8 4 2 8 2 + 0 0 8 0 7 4 ( 8 4 0 9 9 4 ) + 0 0 8 2 3 5 7 ( 8 4 8 1 3 0 8 ) + 0 0 0 2 3 8 8 1 #### 8 4 8 3 6 8 6 2 369 | 8 3 9 7 * 9 9 4 2||2 4 4 1 7 + 0 2 4 4 1 7 ( 2 6 8 5 8 7 ) + 0 0 2 5 7 1 3 ( 2 6 0 1 6 9 3 ) + 0 0 0 6 7 8 5 1 #### 2 6 0 7 3 8 9 1 370 | 2 1 3 2 * 8 8 9 5||6 9 4 8 1 + 0 6 9 4 8 1 ( 6 5 4 3 0 2 ) + 0 0 8 0 8 0 2 ( 6 5 2 4 8 2 2 ) + 0 0 0 0 6 5 1 1 #### 6 5 2 4 4 8 3 1 371 | 6 3 4 9 * 4 1 4 3||4 4 7 7 3 + 0 6 3 4 9 0 ( 4 0 1 2 3 1 ) + 0 0 4 4 7 7 3 ( 4 0 5 6 0 9 3 ) + 0 0 0 8 0 3 8 2 #### 4 0 5 4 1 2 2 3 372 | 4 5 4 9 * 0 0 3 3||0 0 0 0 0 + 0 0 0 0 0 0 ( 0 0 0 0 0 0 ) + 0 0 2 6 3 8 2 ( 0 0 2 6 3 8 2 ) + 0 0 0 2 6 3 8 2 #### 0 0 2 8 9 1 1 3 373 | 5 1 2 7 * 0 5 3 4||0 0 0 0 0 + 0 5 7 0 6 3 ( 0 5 7 0 6 3 ) + 0 0 5 4 6 1 2 ( 0 5 2 5 2 5 2 ) + 0 0 0 0 6 8 8 2 #### 0 5 2 5 8 3 1 3 374 | 3 1 1 5 * 1 7 3 1||3 1 1 5 0 + 0 1 9 7 5 3 ( 3 2 0 3 6 3 ) + 0 0 9 3 3 5 1 ( 3 2 9 6 9 8 1 ) + 0 0 0 3 1 1 5 0 #### 3 2 9 9 0 0 7 0 375 | 4 7 0 1 * 3 4 4 2||2 2 2 3 0 + 0 6 9 2 4 0 ( 2 8 1 6 4 0 ) + 0 0 6 9 2 4 0 ( 2 8 7 5 7 4 0 ) + 0 0 0 8 4 1 2 0 #### 2 8 7 3 2 6 2 0 376 | 4 4 4 8 * 6 3 2 9||4 6 6 0 5 + 0 2 3 3 5 2 ( 4 8 9 3 0 3 ) + 0 0 8 8 8 6 1 ( 4 8 7 2 9 9 1 ) + 0 0 0 6 9 9 5 7 #### 4 8 7 8 8 9 7 7 377 | 6 0 9 9 * 8 9 1 1||8 4 2 9 7 + 0 4 5 1 9 8 ( 8 8 7 0 7 9 ) + 0 0 6 0 9 9 0 ( 8 8 3 1 6 9 1 ) + 0 0 0 6 0 9 9 0 #### 8 8 3 7 6 8 1 1 378 | 1 8 8 1 * 9 2 3 2||9 2 9 6 1 + 0 2 6 7 3 0 ( 9 4 5 4 5 0 ) + 0 0 3 4 6 5 0 ( 9 4 8 8 1 6 0 ) + 0 0 0 2 6 7 3 0 #### 9 4 8 0 8 3 4 0 379 | 7 3 5 9 * 0 4 8 5||0 0 0 0 0 + 0 8 4 1 8 3 ( 0 8 4 1 8 3 ) + 0 0 6 9 2 6 7 ( 0 8 0 1 1 0 8 ) + 0 0 0 5 8 6 7 4 #### 0 8 0 6 9 6 5 5 380 | 5 9 7 2 * 9 5 5 3||5 5 1 5 2 + 0 5 7 9 3 1 ( 5 0 9 4 6 1 ) + 0 0 5 7 9 3 1 ( 5 0 4 2 6 5 1 ) + 0 0 0 5 8 3 8 0 #### 5 0 4 7 4 9 9 0 381 | 7 6 5 8 * 6 7 6 7||2 0 4 1 5 + 0 9 6 9 9 5 ( 2 9 0 1 5 6 ) + 0 0 2 0 4 1 5 ( 2 9 2 1 9 7 5 ) + 0 0 0 9 6 9 9 5 #### 2 9 2 0 6 7 5 6 382 | 9 1 1 3 * 3 0 6 2||7 5 3 9 0 + 0 0 0 0 0 0 ( 7 5 3 9 0 0 ) + 0 0 4 1 7 8 1 ( 7 5 7 0 8 8 1 ) + 0 0 0 8 3 2 6 0 #### 7 5 7 8 1 1 8 0 383 | 7 2 1 4 * 5 0 0 1||5 3 6 0 2 + 0 0 0 0 0 0 ( 5 3 6 0 2 0 ) + 0 0 0 0 0 0 0 ( 5 3 6 0 2 0 0 ) + 0 0 0 7 2 1 4 0 #### 5 3 6 7 4 1 4 0 384 | 0 1 2 3 * 5 9 0 5||0 5 0 6 1 + 0 0 9 8 8 2 ( 0 5 9 4 0 3 ) + 0 0 0 0 0 0 0 ( 0 5 9 4 0 3 0 ) + 0 0 0 0 5 0 6 1 #### 0 5 9 4 5 3 6 1 385 | 0 7 7 2 * 0 4 8 8||0 0 0 0 0 + 0 0 8 0 1 1 ( 0 0 8 0 1 1 ) + 0 0 0 6 1 2 2 ( 0 0 8 6 2 3 2 ) + 0 0 0 0 6 1 2 2 #### 0 0 8 6 8 4 4 2 386 | 4 9 3 4 * 3 9 6 3||2 8 1 3 1 + 0 6 4 5 9 3 ( 2 4 6 8 0 4 ) + 0 0 4 6 3 6 2 ( 2 4 0 5 4 0 3 ) + 0 0 0 2 8 1 3 1 #### 2 4 0 7 2 2 6 1 387 | 7 9 9 9 * 5 9 3 1||5 8 9 9 4 + 0 3 7 9 9 8 ( 5 1 7 9 4 9 ) + 0 0 1 9 9 9 2 ( 5 1 8 8 4 9 3 ) + 0 0 0 7 9 9 9 0 #### 5 1 8 5 4 9 3 1 388 | 8 0 2 8 * 5 4 1 5||0 4 0 1 4 + 0 2 3 8 2 3 ( 0 6 3 9 6 3 ) + 0 0 8 0 2 8 0 ( 0 6 1 0 9 1 1 ) + 0 0 0 0 4 0 1 4 #### 0 6 1 0 3 2 2 4 389 | 9 7 8 2 * 7 9 9 1||3 5 1 0 2 + 0 1 1 9 5 2 ( 3 6 2 9 7 2 ) + 0 0 1 1 9 5 2 ( 3 6 3 0 7 8 2 ) + 0 0 0 9 7 8 2 0 #### 3 6 3 9 4 7 5 0 390 | 4 6 9 5 * 6 1 1 1||4 8 7 5 3 + 0 4 6 9 5 0 ( 4 2 4 5 9 0 ) + 0 0 4 6 9 5 0 ( 4 2 8 1 9 6 0 ) + 0 0 0 4 6 9 5 0 #### 4 2 8 5 5 6 6 0 391 | 3 8 0 6 * 9 8 1 8||7 4 7 4 5 + 0 4 6 6 8 4 ( 7 8 3 1 4 5 ) + 0 0 3 8 0 6 0 ( 7 8 6 9 4 1 1 ) + 0 0 0 4 6 6 8 4 #### 7 8 6 3 1 8 9 4 392 | 6 5 1 6 * 2 1 7 6||2 1 3 2 1 + 0 6 5 1 6 0 ( 2 7 8 3 7 0 ) + 0 0 2 9 0 3 4 ( 2 7 0 3 8 3 4 ) + 0 0 0 6 3 9 6 3 #### 2 7 0 9 1 3 1 4 393 | 1 6 5 1 * 7 9 4 5||7 2 9 0 1 + 0 9 4 0 4 1 ( 7 1 4 1 5 1 ) + 0 0 4 4 2 6 0 ( 7 1 8 5 7 7 0 ) + 0 0 0 5 0 8 7 0 #### 7 1 8 0 8 5 8 0 394 | 1 4 8 6 * 7 9 2 1||7 8 8 7 4 + 0 9 6 5 1 6 ( 7 7 5 3 6 6 ) + 0 0 2 8 6 3 1 ( 7 7 7 1 3 0 2 ) + 0 0 0 1 4 8 6 0 #### 7 7 7 2 7 8 8 0 395 | 3 5 4 2 * 9 1 8 7||7 7 0 2 2 + 0 3 5 4 2 0 ( 7 0 6 6 4 0 ) + 0 0 4 2 6 9 1 ( 7 0 0 9 0 0 2 ) + 0 0 0 1 7 1 7 1 #### 7 0 0 0 8 1 9 1 396 | 4 0 6 2 * 4 9 2 2||6 1 4 0 1 + 0 6 3 4 3 2 ( 6 7 7 4 4 2 ) + 0 0 8 0 2 5 0 ( 6 7 5 5 6 7 0 ) + 0 0 0 8 0 2 5 0 #### 6 7 5 3 7 9 5 0 397 | 5 3 8 9 * 7 1 3 2||5 4 8 8 6 + 0 5 3 8 9 0 ( 5 9 1 7 6 1 ) + 0 0 5 0 5 9 2 ( 5 9 6 7 1 1 3 ) + 0 0 0 0 7 6 9 1 #### 5 9 6 7 8 7 2 2 398 | 1 2 4 5 * 0 7 6 2||0 0 0 0 0 + 0 7 4 9 7 3 ( 0 7 4 9 7 3 ) + 0 0 6 2 5 2 3 ( 0 7 0 2 3 6 3 ) + 0 0 0 2 4 8 0 1 #### 0 7 0 4 7 4 4 1 399 | 0 6 0 8 * 6 8 8 4||0 6 3 8 4 + 0 0 8 4 4 6 ( 0 6 1 3 9 6 ) + 0 0 0 8 4 4 6 ( 0 6 1 1 4 1 7 ) + 0 0 0 0 4 2 2 3 #### 0 6 1 1 8 3 9 3 400 | 5 2 4 1 * 7 4 9 4||5 7 9 9 0 + 0 0 0 7 5 0 ( 5 7 9 6 6 0 ) + 0 0 5 2 8 2 1 ( 5 7 4 9 4 3 1 ) + 0 0 0 0 0 7 5 0 #### 5 7 4 9 4 0 7 0 401 | 3 6 3 4 * 4 4 7 2||2 5 4 7 1 + 0 2 5 4 7 1 ( 2 7 9 1 9 1 ) + 0 0 1 4 5 0 3 ( 2 7 0 6 4 2 3 ) + 0 0 0 6 2 7 8 0 #### 2 7 0 2 7 9 1 1 402 | 4 0 4 7 * 8 3 2 1||2 3 2 9 5 + 0 2 1 2 2 2 ( 2 5 3 1 8 2 ) + 0 0 8 0 8 4 1 ( 2 5 1 2 6 7 1 ) + 0 0 0 4 0 4 7 0 #### 2 5 1 6 6 1 9 0 403 | 4 4 0 5 * 8 1 6 5||2 5 3 0 4 + 0 4 4 0 5 0 ( 2 9 7 0 9 0 ) + 0 0 4 6 2 0 3 ( 2 9 1 7 1 1 3 ) + 0 0 0 0 2 2 5 2 #### 2 9 1 7 3 3 8 2 404 | 6 5 4 3 * 0 1 4 9||0 0 0 0 0 + 0 6 5 4 3 0 ( 0 6 5 4 3 0 ) + 0 0 4 2 8 3 1 ( 0 6 9 6 1 4 1 ) + 0 0 0 4 0 1 1 3 #### 0 6 9 0 2 5 2 3 405 | 7 9 7 2 * 3 6 2 4||1 9 3 8 0 + 0 2 8 7 6 1 ( 1 1 2 6 7 1 ) + 0 0 4 9 5 5 0 ( 1 1 6 5 3 7 0 ) + 0 0 0 8 8 1 1 1 #### 1 1 6 3 2 9 1 1 406 | 5 4 3 2 * 8 3 9 8||0 6 7 8 1 + 0 5 3 0 7 0 ( 0 1 1 9 8 0 ) + 0 0 5 0 1 1 2 ( 0 1 6 9 9 1 2 ) + 0 0 0 0 6 7 8 1 #### 0 1 6 9 5 9 0 2 407 | 2 8 2 4 * 3 9 0 4||6 4 8 2 1 + 0 8 3 5 8 3 ( 6 2 2 8 9 3 ) + 0 0 0 0 0 0 0 ( 6 2 2 8 9 3 0 ) + 0 0 0 8 2 1 7 1 #### 6 2 2 6 2 5 7 1 408 | 2 0 7 7 * 8 2 3 8||6 1 6 1 6 + 0 4 0 4 5 1 ( 6 5 6 5 1 2 ) + 0 0 6 0 1 3 2 ( 6 5 2 6 2 5 2 ) + 0 0 0 6 1 6 1 6 #### 6 5 2 2 4 1 4 6 409 | 1 2 1 2 * 2 0 8 7||2 4 2 4 0 + 0 0 0 0 0 0 ( 2 4 2 4 0 0 ) + 0 0 8 6 9 6 1 ( 2 4 0 1 0 7 1 ) + 0 0 0 7 4 8 4 1 #### 2 4 0 8 4 5 6 1 410 | 1 5 9 3 * 8 1 4 4||8 0 6 1 3 + 0 1 5 9 3 0 ( 8 1 1 1 7 0 ) + 0 0 4 0 8 5 1 ( 8 1 5 1 5 6 1 ) + 0 0 0 4 0 8 5 1 #### 8 1 5 5 5 4 7 1 411 | 0 0 7 9 * 4 5 6 6||0 0 8 8 3 + 0 0 0 5 8 4 ( 0 0 8 3 2 5 ) + 0 0 0 0 2 8 5 ( 0 0 8 3 4 3 6 ) + 0 0 0 0 0 2 8 5 #### 0 0 8 3 4 5 4 6 412 | 5 5 4 3 * 8 9 6 1||0 4 6 7 2 + 0 5 9 0 1 3 ( 0 9 5 8 3 3 ) + 0 0 0 3 7 0 2 ( 0 9 5 1 1 4 2 ) + 0 0 0 5 5 4 3 0 #### 0 9 5 6 6 8 5 0 413 | 1 2 0 7 * 3 0 1 6||3 6 0 1 2 + 0 0 0 0 0 0 ( 3 6 0 1 2 0 ) + 0 0 1 2 0 7 0 ( 3 6 1 3 2 7 0 ) + 0 0 0 6 2 1 2 4 #### 3 6 1 9 4 8 2 4 414 | 0 1 6 9 * 6 4 3 2||0 6 6 7 5 + 0 0 4 4 8 3 ( 0 6 0 2 4 4 ) + 0 0 0 3 8 8 2 ( 0 6 0 5 2 3 3 ) + 0 0 0 0 2 2 9 1 #### 0 6 0 5 4 5 2 2 415 | 2 8 5 8 * 4 1 2 2||8 2 3 4 3 + 0 2 8 5 8 0 ( 8 4 1 0 2 1 ) + 0 0 4 6 1 7 1 ( 8 4 5 6 3 8 1 ) + 0 0 0 4 6 1 7 1 #### 8 4 5 0 0 0 9 1 416 | 6 8 5 9 * 5 0 1 4||0 3 9 7 4 + 0 0 0 0 0 0 ( 0 3 9 7 4 0 ) + 0 0 6 8 5 9 0 ( 0 3 5 6 0 0 1 ) + 0 0 0 4 4 3 8 3 #### 0 3 5 0 5 3 9 3 417 | 5 2 0 2 * 7 3 9 3||5 7 1 4 1 + 0 5 7 0 6 0 ( 5 2 9 4 7 0 ) + 0 0 5 2 2 8 1 ( 5 2 4 7 9 8 1 ) + 0 0 0 5 7 0 6 0 #### 5 2 4 2 7 9 7 0 418 | 3 7 1 8 * 5 7 4 1||5 6 8 0 4 + 0 1 1 2 7 5 ( 5 7 9 2 1 6 ) + 0 0 2 9 6 2 3 ( 5 7 1 2 8 8 3 ) + 0 0 0 3 7 1 8 0 #### 5 7 1 5 5 0 2 1 419 | 8 9 9 1 * 6 9 1 1||8 8 9 1 1 + 0 2 8 9 7 1 ( 8 0 8 1 9 1 ) + 0 0 8 9 9 1 0 ( 8 0 6 1 9 3 0 ) + 0 0 0 8 9 9 1 0 #### 8 0 6 9 8 3 2 0 420 | 1 4 0 9 * 9 1 1 5||9 6 3 1 8 + 0 1 4 0 9 0 ( 9 7 7 1 7 1 ) + 0 0 1 4 0 9 0 ( 9 7 8 5 7 0 1 ) + 0 0 0 5 0 2 5 4 #### 9 7 8 0 8 2 6 4 421 | 0 0 7 5 * 6 9 5 4||0 0 2 4 3 + 0 0 0 3 1 5 ( 0 0 2 7 4 5 ) + 0 0 0 0 5 8 2 ( 0 0 2 7 9 3 3 ) + 0 0 0 0 0 8 2 2 #### 0 0 2 7 9 1 6 2 422 | 6 7 0 8 * 7 8 4 8||2 3 5 6 5 + 0 8 0 6 4 6 ( 2 1 6 2 0 7 ) + 0 0 4 0 3 2 3 ( 2 1 0 3 3 9 3 ) + 0 0 0 8 0 6 4 6 #### 2 1 0 1 4 5 8 6 423 | 9 4 1 3 * 1 8 3 9||9 4 1 3 0 + 0 2 9 1 5 2 ( 9 6 0 5 5 2 ) + 0 0 7 4 4 9 0 ( 9 6 7 9 9 1 1 ) + 0 0 0 1 4 3 8 2 #### 9 6 7 0 4 5 9 2 424 | 1 4 1 5 * 2 3 8 6||2 8 2 0 1 + 0 3 2 4 5 1 ( 2 1 5 4 6 1 ) + 0 0 8 2 1 1 4 ( 2 1 3 7 7 2 4 ) + 0 0 0 6 4 8 0 3 #### 2 1 3 3 2 1 5 3 425 | 4 2 4 4 * 0 3 7 7||0 0 0 0 0 + 0 2 7 2 3 1 ( 0 2 7 2 3 1 ) + 0 0 8 6 9 0 3 ( 0 2 5 9 2 2 3 ) + 0 0 0 8 6 9 0 3 #### 0 2 5 7 9 1 4 3 426 | 3 9 1 8 * 8 5 2 1||4 4 5 5 6 + 0 5 6 9 0 4 ( 4 9 1 5 7 4 ) + 0 0 6 8 3 6 1 ( 4 9 7 3 1 1 2 ) + 0 0 0 3 9 1 8 0 #### 4 9 7 6 0 3 0 1 427 | 0 3 1 9 * 4 7 7 5||0 2 5 6 3 + 0 0 1 9 3 6 ( 0 2 6 5 7 6 ) + 0 0 0 1 9 3 6 ( 0 2 6 6 6 0 7 ) + 0 0 0 0 5 6 5 4 #### 0 2 6 6 1 7 2 5 428 | 0 1 5 5 * 9 8 7 6||0 9 5 9 4 + 0 0 8 0 4 4 ( 0 9 3 0 9 4 ) + 0 0 0 7 5 8 3 ( 0 9 3 7 4 3 4 ) + 0 0 0 0 6 0 3 3 #### 0 9 3 7 0 4 7 3 429 | 6 4 0 3 * 2 2 4 7||2 9 0 6 0 + 0 2 9 0 6 0 ( 2 1 0 7 6 0 ) + 0 0 4 8 1 2 1 ( 2 1 4 5 8 2 1 ) + 0 0 0 2 2 3 1 2 #### 2 1 4 7 0 6 2 2 430 | 9 4 0 8 * 4 3 9 7||6 9 1 2 3 + 0 7 4 1 4 2 ( 6 6 6 3 7 2 ) + 0 0 1 4 4 2 7 ( 6 6 7 7 1 5 7 ) + 0 0 0 3 4 3 6 5 #### 6 6 7 0 6 8 3 6 431 | 4 5 0 5 * 4 9 3 3||6 1 2 0 2 + 0 6 8 4 5 4 ( 6 7 0 5 7 4 ) + 0 0 2 6 1 5 1 ( 6 7 2 1 9 9 1 ) + 0 0 0 2 6 1 5 1 #### 6 7 2 3 5 1 7 1 432 | 1 3 2 8 * 4 9 6 6||4 2 9 2 3 + 0 9 7 0 4 7 ( 4 1 7 3 7 7 ) + 0 0 6 8 3 9 4 ( 4 1 3 2 1 7 5 ) + 0 0 0 6 8 3 9 4 #### 4 1 3 8 9 0 5 5 433 | 4 1 9 6 * 0 6 9 2||0 0 0 0 0 + 0 4 8 4 1 4 ( 0 4 8 4 1 4 ) + 0 0 6 2 2 2 6 ( 0 4 4 7 3 6 6 ) + 0 0 0 8 2 8 3 1 #### 0 4 4 5 6 4 0 2 434 | 0 1 5 9 * 8 1 6 4||0 8 0 6 7 + 0 0 1 5 9 0 ( 0 8 1 1 7 1 ) + 0 0 0 6 0 7 5 ( 0 8 1 7 7 8 5 ) + 0 0 0 0 4 0 8 3 #### 0 8 1 7 1 9 3 4 435 | 6 3 0 8 * 6 2 5 9||6 1 2 8 4 + 0 2 7 0 6 1 ( 6 3 9 8 0 2 ) + 0 0 0 8 1 0 4 ( 6 3 9 6 2 2 4 ) + 0 0 0 4 2 3 2 7 #### 6 3 9 0 5 5 6 7 436 | 5 7 7 8 * 3 5 2 9||5 2 3 6 2 + 0 5 7 8 3 4 ( 5 7 0 5 6 4 ) + 0 0 0 5 5 7 1 ( 5 7 0 0 2 2 2 ) + 0 0 0 5 7 9 8 7 #### 5 7 0 5 9 1 1 8 437 | 7 3 3 1 * 6 7 1 2||2 2 0 8 0 + 0 9 5 3 9 0 ( 2 1 6 1 0 1 ) + 0 0 7 3 3 1 0 ( 2 1 3 5 3 2 0 ) + 0 0 0 4 7 6 2 0 #### 2 1 3 9 0 9 2 0 438 | 9 4 4 4 * 5 3 5 1||5 4 2 2 2 + 0 7 4 3 3 1 ( 5 1 7 5 5 1 ) + 0 0 5 4 2 2 2 ( 5 1 2 0 8 3 2 ) + 0 0 0 9 4 4 4 0 #### 5 1 2 9 2 8 6 0 439 | 8 8 5 5 * 4 1 3 8||2 5 3 2 2 + 0 8 8 5 5 0 ( 2 3 2 8 7 0 ) + 0 0 4 6 7 6 1 ( 2 3 6 4 5 7 1 ) + 0 0 0 4 0 7 4 4 #### 2 3 6 8 5 4 6 4 440 | 1 1 3 1 * 7 9 9 2||7 7 1 9 0 + 0 9 9 7 1 1 ( 7 6 1 7 2 1 ) + 0 0 9 9 7 1 1 ( 7 6 0 7 0 3 1 ) + 0 0 0 2 2 6 2 0 #### 7 6 0 9 2 9 3 0 441 | 2 8 5 7 * 6 1 6 3||2 9 4 5 4 + 0 2 8 5 7 0 ( 2 1 3 1 2 1 ) + 0 0 2 9 4 5 4 ( 2 1 5 0 7 6 4 ) + 0 0 0 6 4 7 2 2 #### 2 1 5 6 1 4 7 2 442 | 0 8 2 6 * 0 3 7 2||0 0 0 0 0 + 0 0 4 8 8 1 ( 0 0 4 8 8 1 ) + 0 0 0 6 9 3 4 ( 0 0 4 4 8 5 4 ) + 0 0 0 0 6 5 2 1 #### 0 0 4 4 4 1 7 1 443 | 0 6 5 7 * 8 2 3 4||0 8 4 0 6 + 0 0 2 1 5 1 ( 0 8 6 1 1 2 ) + 0 0 0 8 6 2 2 ( 0 8 6 9 7 4 2 ) + 0 0 0 0 4 2 0 3 #### 0 8 6 9 1 7 2 3 444 | 8 7 9 8 * 7 4 3 7||6 4 8 2 6 + 0 2 1 9 5 3 ( 6 6 9 1 2 4 ) + 0 0 4 3 9 6 2 ( 6 6 3 5 1 1 3 ) + 0 0 0 6 4 8 2 6 #### 6 6 3 1 6 9 5 6 445 | 9 9 1 8 * 7 1 3 2||3 9 3 7 5 + 0 9 9 1 8 0 ( 3 8 3 9 3 1 ) + 0 0 7 9 5 4 2 ( 3 8 0 9 9 5 2 ) + 0 0 0 8 9 3 6 1 #### 3 8 0 7 9 9 8 1 446 | 2 7 8 8 * 0 8 1 8||0 0 0 0 0 + 0 6 7 9 0 7 ( 0 6 7 9 0 7 ) + 0 0 2 7 8 8 0 ( 0 6 9 6 9 5 1 ) + 0 0 0 6 7 9 0 7 #### 0 6 9 2 7 5 2 7 447 | 9 9 6 9 * 4 7 8 9||6 9 7 8 3 + 0 3 9 8 7 6 ( 6 2 7 7 1 7 ) + 0 0 2 9 5 7 7 ( 6 2 9 6 7 4 8 ) + 0 0 0 1 9 2 7 8 #### 6 2 9 7 6 7 5 9 448 | 4 6 4 8 * 4 6 1 5||6 5 8 3 3 + 0 4 8 7 0 5 ( 6 9 6 1 4 5 ) + 0 0 4 6 4 8 0 ( 6 9 0 8 8 3 1 ) + 0 0 0 0 2 3 2 4 #### 6 9 0 8 0 7 3 4 449 | 2 0 5 9 * 6 1 0 4||2 1 0 7 5 + 0 2 0 5 9 0 ( 2 3 0 2 5 1 ) + 0 0 0 0 0 0 0 ( 2 3 0 2 5 1 0 ) + 0 0 0 8 0 0 8 3 #### 2 3 0 0 6 1 8 3 450 | 8 3 6 7 * 2 8 1 5||6 7 2 5 1 + 0 4 0 1 1 6 ( 6 1 3 6 2 6 ) + 0 0 8 3 6 7 0 ( 6 1 1 0 9 3 1 ) + 0 0 0 0 9 1 8 3 #### 6 1 1 0 8 5 9 3 451 | 4 2 6 4 * 2 7 7 5||8 4 2 9 0 + 0 8 6 3 2 3 ( 8 2 9 2 3 3 ) + 0 0 8 6 3 2 3 ( 8 2 7 9 6 5 3 ) + 0 0 0 0 2 1 3 2 #### 8 2 7 9 8 6 6 2 452 | 3 3 9 1 * 0 9 7 7||0 0 0 0 0 + 0 7 9 3 7 1 ( 0 7 9 3 7 1 ) + 0 0 1 3 5 3 1 ( 0 7 0 7 2 5 1 ) + 0 0 0 1 3 5 3 1 #### 0 7 0 8 5 0 5 1 453 | 5 7 1 6 * 1 5 6 3||5 7 1 6 0 + 0 5 7 8 0 3 ( 5 2 9 4 1 3 ) + 0 0 0 5 0 7 3 ( 5 2 9 9 1 0 4 ) + 0 0 0 5 2 5 8 1 #### 5 2 9 4 4 5 2 2 454 | 3 2 6 9 * 6 8 6 2||8 3 7 7 5 + 0 4 8 9 6 7 ( 8 7 5 7 2 8 ) + 0 0 8 3 7 7 5 ( 8 7 3 1 0 6 6 ) + 0 0 0 6 4 2 9 1 #### 8 7 3 7 4 8 5 2 455 | 1 0 4 9 * 6 7 9 7||6 0 4 6 5 + 0 7 0 8 5 6 ( 6 7 4 4 1 7 ) + 0 0 9 0 6 4 8 ( 6 7 3 5 7 1 9 ) + 0 0 0 7 0 8 5 6 #### 6 7 3 2 8 9 4 7 456 | 1 3 9 7 * 1 4 3 2||1 3 9 7 0 + 0 4 2 7 1 3 ( 1 7 1 5 2 3 ) + 0 0 3 9 7 3 2 ( 1 7 4 4 0 7 2 ) + 0 0 0 2 6 8 5 1 #### 1 7 4 6 6 5 8 1 457 | 7 8 5 3 * 3 0 0 4||1 6 7 0 1 + 0 0 0 0 0 0 ( 1 6 7 0 1 0 ) + 0 0 0 0 0 0 0 ( 1 6 7 0 1 0 0 ) + 0 0 0 8 4 3 4 1 #### 1 6 7 8 5 3 4 1 458 | 0 7 0 2 * 6 3 7 1||0 2 4 2 1 + 0 0 1 2 6 0 ( 0 2 5 4 7 0 ) + 0 0 0 9 4 4 1 ( 0 2 5 3 2 5 1 ) + 0 0 0 0 7 0 2 0 #### 0 2 5 3 9 5 3 0 459 | 3 5 7 1 * 2 7 1 2||6 0 5 3 0 + 0 1 7 2 2 1 ( 6 1 2 6 2 1 ) + 0 0 3 5 7 1 0 ( 6 1 5 1 0 3 0 ) + 0 0 0 6 0 5 3 0 #### 6 1 5 7 0 8 3 0 460 | 1 3 9 6 * 3 0 8 3||3 9 7 0 2 + 0 0 0 0 0 0 ( 3 9 7 0 2 0 ) + 0 0 8 4 4 5 5 ( 3 9 5 5 6 5 5 ) + 0 0 0 3 9 7 0 2 #### 3 9 5 8 5 3 6 2 461 | 4 3 9 6 * 5 1 9 1||0 7 6 4 3 + 0 4 3 9 6 0 ( 0 1 0 4 0 1 ) + 0 0 6 0 4 2 6 ( 0 1 6 4 4 3 6 ) + 0 0 0 4 3 9 6 0 #### 0 1 6 8 7 2 3 1 462 | 7 1 0 9 * 4 9 4 1||8 6 0 6 3 + 0 3 5 1 1 8 ( 8 9 5 7 4 8 ) + 0 0 8 6 0 6 3 ( 8 9 3 4 5 4 4 ) + 0 0 0 7 1 0 9 0 #### 8 9 3 1 7 4 3 1 463 | 6 0 1 4 * 4 4 0 2||4 2 4 6 1 + 0 4 2 4 6 1 ( 4 6 6 0 8 1 ) + 0 0 0 0 0 0 0 ( 4 6 6 0 8 1 0 ) + 0 0 0 2 1 2 8 0 #### 4 6 6 2 9 3 8 0 464 | 1 6 2 3 * 7 6 6 7||7 2 8 2 2 + 0 6 6 5 9 1 ( 7 8 4 8 1 2 ) + 0 0 6 6 5 9 1 ( 7 8 0 5 7 1 2 ) + 0 0 0 7 2 8 2 2 #### 7 8 0 2 0 0 5 2 465 | 9 9 2 6 * 7 5 2 9||3 9 0 4 4 + 0 5 9 4 1 3 ( 3 4 0 9 5 3 ) + 0 0 8 9 5 2 1 ( 3 4 8 8 1 6 1 ) + 0 0 0 1 9 6 6 5 #### 3 4 8 9 0 3 8 5 466 | 3 3 6 9 * 6 5 9 3||8 9 7 7 5 + 0 5 6 1 8 4 ( 8 4 4 9 3 5 ) + 0 0 7 9 6 6 8 ( 8 4 1 9 0 2 9 ) + 0 0 0 9 9 8 8 2 #### 8 4 1 8 0 1 8 3 467 | 6 9 5 3 * 5 1 6 7||0 8 9 7 1 + 0 6 9 5 3 0 ( 0 4 9 3 5 0 ) + 0 0 6 7 5 1 2 ( 0 4 5 1 1 2 2 ) + 0 0 0 2 7 1 5 2 #### 0 4 5 3 8 3 7 2 468 | 2 5 4 9 * 6 4 8 5||2 1 7 6 5 + 0 8 0 8 7 3 ( 2 9 7 4 3 4 ) + 0 0 6 1 6 5 7 ( 2 9 3 6 9 9 7 ) + 0 0 0 0 6 2 7 4 #### 2 9 3 6 5 2 5 5 469 | 6 6 0 8 * 4 7 7 9||4 6 2 2 3 + 0 2 6 4 6 5 ( 4 8 8 6 9 5 ) + 0 0 2 6 4 6 5 ( 4 8 0 3 4 2 6 ) + 0 0 0 4 9 5 2 7 #### 4 8 0 7 3 8 8 7 470 | 5 3 7 6 * 7 3 8 1||5 4 1 7 4 + 0 5 0 2 0 2 ( 5 9 1 9 4 2 ) + 0 0 0 8 8 3 5 ( 5 9 1 7 3 6 5 ) + 0 0 0 5 3 7 6 0 #### 5 9 1 2 7 3 2 1 471 | 5 3 1 6 * 6 2 8 3||0 1 8 6 3 + 0 0 7 2 2 1 ( 0 1 5 9 5 1 ) + 0 0 0 8 0 9 4 ( 0 1 5 7 6 0 5 ) + 0 0 0 5 0 4 8 1 #### 0 1 5 2 7 4 3 2 472 | 8 4 1 1 * 5 2 0 3||0 4 7 5 0 + 0 6 9 2 2 0 ( 0 0 7 8 2 0 ) + 0 0 0 0 0 0 0 ( 0 0 7 8 2 0 0 ) + 0 0 0 4 4 4 3 0 #### 0 0 7 2 7 4 3 0 473 | 8 4 6 3 * 1 3 0 5||8 4 6 3 0 + 0 4 4 9 0 1 ( 8 8 0 3 1 1 ) + 0 0 0 0 0 0 0 ( 8 8 0 3 1 1 0 ) + 0 0 0 0 4 2 8 1 #### 8 8 0 3 5 3 8 1 474 | 4 3 6 7 * 1 4 1 5||4 3 6 7 0 + 0 6 3 5 0 3 ( 4 9 9 2 1 3 ) + 0 0 4 3 6 7 0 ( 4 9 3 6 7 0 1 ) + 0 0 0 0 7 1 8 3 #### 4 9 3 6 4 2 9 3 475 | 6 6 8 8 * 3 0 8 2||8 9 5 6 2 + 0 0 0 0 0 0 ( 8 9 5 6 2 0 ) + 0 0 8 2 9 0 7 ( 8 9 3 9 1 1 7 ) + 0 0 0 2 3 7 7 1 #### 8 9 3 1 5 8 4 2 476 | 0 6 9 9 * 8 7 8 7||0 8 6 9 7 + 0 0 2 7 9 6 ( 0 8 8 6 7 7 ) + 0 0 0 8 6 9 7 ( 0 8 8 4 4 7 8 ) + 0 0 0 0 2 7 9 6 #### 0 8 8 4 6 4 8 7 477 | 8 5 8 7 * 5 4 9 5||0 9 2 9 3 + 0 2 3 4 1 3 ( 0 1 6 3 5 3 ) + 0 0 2 2 7 0 7 ( 0 1 8 5 2 4 7 ) + 0 0 0 0 9 2 9 3 #### 0 1 8 5 1 7 6 4 478 | 2 8 6 6 * 7 3 4 8||4 7 7 6 4 + 0 6 4 0 0 2 ( 4 3 2 7 4 2 ) + 0 0 8 2 7 6 2 ( 4 3 0 0 2 9 2 ) + 0 0 0 6 5 4 3 5 #### 4 3 0 6 7 3 6 5 479 | 9 2 9 7 * 9 6 4 8||1 6 3 1 7 + 0 4 7 5 7 4 ( 1 0 1 7 4 5 ) + 0 0 6 1 7 1 3 ( 1 0 7 8 1 7 3 ) + 0 0 0 2 3 4 3 6 #### 1 0 7 0 5 1 7 6 480 | 6 0 8 4 * 7 2 4 9||2 4 6 3 3 + 0 2 1 6 9 0 ( 2 6 7 9 2 1 ) + 0 0 4 2 2 9 1 ( 2 6 1 2 5 0 2 ) + 0 0 0 4 5 2 3 4 #### 2 6 1 6 0 3 5 4 481 | 0 8 6 1 * 0 9 5 6||0 0 0 0 0 + 0 0 2 1 5 1 ( 0 0 2 1 5 1 ) + 0 0 0 0 4 8 0 ( 0 0 2 1 9 9 0 ) + 0 0 0 0 8 0 0 1 #### 0 0 2 1 7 0 1 1 482 | 9 0 1 1 * 0 3 6 1||0 0 0 0 0 + 0 7 2 3 3 0 ( 0 7 2 3 3 0 ) + 0 0 4 5 6 6 0 ( 0 7 6 8 9 6 0 ) + 0 0 0 9 0 1 1 0 #### 0 7 6 7 0 8 1 0 483 | 0 7 5 8 * 8 7 4 7||0 6 5 8 6 + 0 0 9 9 9 5 ( 0 6 4 8 6 6 ) + 0 0 0 8 2 4 3 ( 0 6 4 6 9 0 4 ) + 0 0 0 0 9 9 9 5 #### 0 6 4 6 8 0 4 6 484 | 6 3 4 4 * 7 2 0 4||2 5 0 1 3 + 0 2 7 8 8 0 ( 2 7 7 9 1 1 ) + 0 0 0 0 0 0 0 ( 2 7 7 9 1 1 0 ) + 0 0 0 4 4 7 7 1 #### 2 7 7 3 6 8 7 1 485 | 6 9 7 1 * 4 4 6 8||4 8 1 7 0 + 0 4 8 1 7 0 ( 4 2 0 9 7 0 ) + 0 0 6 7 7 0 1 ( 4 2 6 6 5 1 1 ) + 0 0 0 8 6 3 4 1 #### 4 2 6 4 2 5 5 1 486 | 8 2 4 7 * 4 0 4 4||2 1 7 9 2 + 0 0 0 0 0 0 ( 2 1 7 9 2 0 ) + 0 0 2 1 7 9 2 ( 2 1 9 0 0 0 3 ) + 0 0 0 2 1 7 9 2 #### 2 1 9 2 1 7 2 3 487 | 3 1 2 6 * 3 9 5 3||9 3 6 8 1 + 0 7 1 9 5 5 ( 9 0 8 7 7 5 ) + 0 0 5 6 0 1 3 ( 9 0 3 4 8 6 3 ) + 0 0 0 9 3 6 8 1 #### 9 0 3 3 2 3 2 2 488 | 3 4 2 8 * 9 9 4 1||7 8 1 4 7 + 0 7 8 1 4 7 ( 7 5 0 6 1 8 ) + 0 0 2 7 9 2 3 ( 7 5 2 3 1 1 4 ) + 0 0 0 3 4 2 8 0 #### 7 5 2 6 5 3 2 1 489 | 0 0 7 9 * 7 6 4 5||0 0 9 7 6 + 0 0 0 2 8 5 ( 0 0 9 9 4 6 ) + 0 0 0 0 8 8 3 ( 0 0 9 9 2 5 4 ) + 0 0 0 0 0 5 8 4 #### 0 0 9 9 2 0 3 5 490 | 0 7 1 5 * 7 5 5 7||0 9 1 6 3 + 0 0 5 8 5 2 ( 0 9 6 4 9 2 ) + 0 0 0 5 8 5 2 ( 0 9 6 9 7 8 2 ) + 0 0 0 0 9 1 6 3 #### 0 9 6 9 6 0 9 3 491 | 4 2 5 3 * 3 4 7 2||2 7 5 0 1 + 0 6 9 0 4 1 ( 2 3 5 1 5 1 ) + 0 0 8 6 6 4 2 ( 2 3 3 8 1 6 2 ) + 0 0 0 8 4 0 7 0 #### 2 3 3 6 6 6 9 0 492 | 4 5 9 8 * 2 6 7 5||8 0 9 7 1 + 0 4 2 7 3 5 ( 8 4 1 5 5 5 ) + 0 0 8 7 6 2 6 ( 8 4 9 2 2 8 6 ) + 0 0 0 0 7 7 4 4 #### 8 4 9 2 9 5 1 5 493 | 8 0 3 8 * 0 6 5 2||0 0 0 0 0 + 0 8 4 8 9 4 ( 0 8 4 8 9 4 ) + 0 0 0 4 5 1 4 ( 0 8 4 2 5 6 4 ) + 0 0 0 6 1 6 6 1 #### 0 8 4 8 6 2 1 2 494 | 4 6 0 6 * 0 5 2 9||0 0 0 0 0 + 0 0 2 3 0 3 ( 0 0 2 3 0 3 ) + 0 0 8 2 1 2 1 ( 0 0 0 6 1 5 1 ) + 0 0 0 6 7 5 4 5 #### 0 0 0 2 9 0 6 5 495 | 8 9 3 3 * 5 0 0 6||0 9 9 6 1 + 0 0 0 0 0 0 ( 0 9 9 6 1 0 ) + 0 0 0 0 0 0 0 ( 0 9 9 6 1 0 0 ) + 0 0 0 8 8 3 0 2 #### 0 9 9 4 0 4 0 2 496 | 7 8 5 9 * 9 8 7 2||3 8 2 6 8 + 0 6 9 6 6 7 ( 3 4 2 3 5 8 ) + 0 0 9 0 1 7 6 ( 3 4 1 4 6 5 7 ) + 0 0 0 4 7 1 9 1 #### 3 4 1 8 3 7 6 2 497 | 1 9 7 4 * 3 6 2 9||3 7 3 4 1 + 0 6 4 7 8 2 ( 3 3 8 1 0 3 ) + 0 0 2 8 5 9 0 ( 3 3 0 0 6 2 1 ) + 0 0 0 9 1 1 3 4 #### 3 3 0 9 7 3 4 4 498 | 6 0 1 5 * 4 8 6 9||4 2 4 0 2 + 0 8 4 8 0 4 ( 4 0 9 8 2 4 ) + 0 0 6 3 6 0 3 ( 4 0 5 2 9 4 3 ) + 0 0 0 4 5 9 5 4 #### 4 0 5 6 4 4 9 4 499 | 7 8 2 7 * 4 7 2 7||8 4 1 9 2 + 0 9 0 0 1 5 ( 8 3 2 9 3 5 ) + 0 0 4 7 5 4 1 ( 8 3 6 6 9 9 1 ) + 0 0 0 9 0 0 1 5 #### 8 3 6 5 0 0 3 5 500 | 7 8 6 6 * 7 9 2 4||9 0 8 6 4 + 0 3 8 1 0 6 ( 9 3 6 8 4 6 ) + 0 0 4 7 3 3 1 ( 9 3 0 6 8 9 1 ) + 0 0 0 8 4 7 6 2 #### 9 3 0 4 3 7 8 2 501 | 6 0 6 3 * 6 8 5 6||6 3 6 1 2 + 0 8 4 8 8 2 ( 6 1 1 0 1 3 ) + 0 0 0 3 0 8 1 ( 6 1 1 3 1 1 2 ) + 0 0 0 6 3 6 1 2 #### 6 1 1 9 4 7 3 2 502 | 2 3 4 1 * 8 5 9 5||6 5 4 1 1 + 0 0 6 1 7 0 ( 6 5 0 3 8 0 ) + 0 0 8 8 8 2 1 ( 6 5 8 1 7 3 1 ) + 0 0 0 0 6 1 7 0 #### 6 5 8 1 3 5 8 0 503 | 5 2 2 6 * 6 8 0 5||0 5 3 7 3 + 0 0 0 8 9 4 ( 0 5 3 5 3 5 ) + 0 0 0 0 0 0 0 ( 0 5 3 5 3 5 0 ) + 0 0 0 5 2 1 1 3 #### 0 5 3 0 6 6 1 3 504 | 7 3 0 8 * 5 8 5 2||5 8 1 0 4 + 0 6 9 2 4 6 ( 5 4 1 3 8 6 ) + 0 0 5 8 1 0 4 ( 5 4 6 1 0 7 4 ) + 0 0 0 4 7 0 6 1 #### 5 4 6 5 7 7 0 2 505 | 9 5 9 2 * 9 8 1 5||1 3 6 6 2 + 0 2 7 6 3 2 ( 1 5 3 3 6 2 ) + 0 0 9 5 9 2 0 ( 1 5 2 9 5 5 0 ) + 0 0 0 5 9 7 4 1 #### 1 5 2 4 5 3 5 1 506 | 6 8 2 1 * 5 4 5 5||0 3 4 6 0 + 0 4 4 1 5 0 ( 0 7 8 7 5 0 ) + 0 0 0 3 4 6 0 ( 0 7 8 0 0 7 0 ) + 0 0 0 0 3 4 6 0 #### 0 7 8 0 3 1 7 0 507 | 3 1 7 3 * 4 2 0 5||2 5 8 4 1 + 0 6 2 4 7 0 ( 2 1 1 9 8 0 ) + 0 0 0 0 0 0 0 ( 2 1 1 9 8 0 0 ) + 0 0 0 5 6 5 8 1 #### 2 1 1 4 5 6 8 1 508 | 5 7 1 7 * 6 9 4 2||0 5 0 3 4 + 0 5 7 5 4 6 ( 0 0 8 8 8 6 ) + 0 0 0 0 7 8 2 ( 0 0 8 8 5 5 3 ) + 0 0 0 0 5 3 4 1 #### 0 0 8 8 0 9 7 1 509 | 7 5 8 6 * 2 3 5 6||4 1 7 3 1 + 0 1 7 5 0 2 ( 4 2 4 9 1 2 ) + 0 0 5 8 2 4 3 ( 4 2 9 7 4 6 3 ) + 0 0 0 2 4 1 1 4 #### 4 2 9 9 8 7 4 4 510 | 5 4 1 8 * 8 2 5 4||0 6 1 5 6 + 0 0 9 2 6 1 ( 0 6 0 8 2 2 ) + 0 0 5 2 7 0 4 ( 0 6 5 0 0 3 4 ) + 0 0 0 0 8 5 2 3 #### 0 6 5 0 8 8 6 3 511 | 7 5 7 9 * 9 7 7 2||3 1 8 7 8 + 0 9 9 2 8 6 ( 3 0 8 0 7 7 ) + 0 0 9 9 2 8 6 ( 3 0 7 0 0 6 7 ) + 0 0 0 4 1 5 9 1 #### 3 0 7 4 1 1 7 2 512 | 2 7 4 6 * 0 6 5 6||0 0 0 0 0 + 0 2 3 8 8 3 ( 0 2 3 8 8 3 ) + 0 0 0 6 3 2 3 ( 0 2 3 4 2 6 3 ) + 0 0 0 2 3 8 8 3 #### 0 2 3 6 5 4 2 4 513 | 8 5 4 1 * 7 8 3 1||6 0 2 0 1 + 0 4 6 6 1 1 ( 6 4 8 6 2 1 ) + 0 0 4 7 3 4 0 ( 6 4 2 4 6 5 0 ) + 0 0 0 8 5 4 1 0 #### 6 4 2 2 2 0 2 0 514 | 3 8 6 1 * 7 9 7 6||1 8 7 1 1 + 0 7 4 1 5 1 ( 1 5 2 3 6 1 ) + 0 0 1 8 7 1 1 ( 1 5 3 1 4 3 1 ) + 0 0 0 8 9 0 0 1 #### 1 5 3 9 3 4 1 1 515 | 4 3 1 9 * 1 1 0 7||4 3 1 9 0 + 0 4 3 1 9 0 ( 4 7 4 0 0 1 ) + 0 0 0 0 0 0 0 ( 4 7 4 0 0 1 0 ) + 0 0 0 8 3 9 3 6 #### 4 7 4 8 3 0 4 6 516 | 1 5 8 9 * 2 3 3 8||2 0 7 9 1 + 0 3 5 5 9 2 ( 2 3 2 5 1 3 ) + 0 0 3 5 5 9 2 ( 2 3 5 0 7 2 3 ) + 0 0 0 8 0 8 8 7 #### 2 3 5 8 7 0 2 8 517 | 3 1 3 1 * 7 5 6 6||1 9 1 9 0 + 0 5 6 5 6 0 ( 1 4 8 4 7 0 ) + 0 0 8 7 8 7 0 ( 1 4 6 2 6 8 0 ) + 0 0 0 8 7 8 7 0 #### 1 4 6 0 4 7 8 0 518 | 1 1 8 2 * 9 1 6 7||9 9 2 5 2 + 0 1 1 8 2 0 ( 9 0 4 3 5 0 ) + 0 0 6 6 8 6 1 ( 9 0 0 0 4 7 1 ) + 0 0 0 7 7 6 9 1 #### 9 0 0 7 1 4 1 2 519 | 2 0 8 6 * 6 3 5 8||2 1 8 0 4 + 0 6 0 4 0 2 ( 2 7 8 4 4 2 ) + 0 0 0 1 0 4 3 ( 2 7 8 5 4 6 3 ) + 0 0 0 6 1 4 4 5 #### 2 7 8 1 6 0 8 5 520 | 6 9 0 7 * 7 2 0 2||2 7 6 9 4 + 0 2 9 1 4 1 ( 2 9 5 1 9 1 ) + 0 0 0 0 0 0 0 ( 2 9 5 1 9 1 0 ) + 0 0 0 2 9 1 4 1 #### 2 9 5 3 8 3 4 1 521 | 4 0 6 6 * 2 8 7 5||8 0 2 3 1 + 0 2 3 8 2 5 ( 8 2 5 1 4 5 ) + 0 0 8 2 2 6 4 ( 8 2 3 4 6 1 5 ) + 0 0 0 0 2 0 3 3 #### 8 2 3 4 8 1 8 3 522 | 8 5 5 9 * 7 3 8 3||6 0 9 6 6 + 0 4 7 6 8 2 ( 6 4 6 3 5 3 ) + 0 0 4 6 4 6 7 ( 6 4 0 0 0 0 8 ) + 0 0 0 4 7 6 8 2 #### 6 4 0 4 7 6 6 3 523 | 8 4 1 8 * 1 9 0 8||8 4 1 8 0 + 0 2 3 3 3 7 ( 8 6 4 1 4 7 ) + 0 0 0 0 0 0 0 ( 8 6 4 1 4 7 0 ) + 0 0 0 4 8 1 5 6 #### 8 6 4 5 2 9 5 6 524 | 6 9 4 5 * 6 2 7 7||6 7 9 2 3 + 0 2 9 9 0 1 ( 6 9 8 2 4 1 ) + 0 0 2 7 4 8 3 ( 6 9 0 0 9 9 3 ) + 0 0 0 2 7 4 8 3 #### 6 9 0 2 6 4 2 4 525 | 3 5 1 6 * 9 9 9 1||7 7 3 5 5 + 0 7 7 3 5 5 ( 7 4 1 9 0 6 ) + 0 0 7 7 3 5 5 ( 7 4 8 6 4 1 6 ) + 0 0 0 3 5 1 6 0 #### 7 4 8 9 9 2 2 1 526 | 1 2 0 6 * 6 4 4 8||6 2 1 6 3 + 0 4 8 0 4 2 ( 6 6 9 6 7 2 ) + 0 0 4 8 0 4 2 ( 6 6 3 5 8 6 2 ) + 0 0 0 8 6 1 8 4 #### 6 6 3 3 5 8 0 5 527 | 9 6 6 5 * 5 5 3 3||5 4 3 8 2 + 0 5 4 3 8 2 ( 5 9 7 1 1 3 ) + 0 0 7 0 0 7 1 ( 5 9 4 2 1 0 2 ) + 0 0 0 7 0 0 7 1 #### 5 9 4 9 1 0 9 1 528 | 2 7 9 3 * 3 3 5 9||6 1 9 1 1 + 0 6 1 9 1 1 ( 6 7 0 1 3 1 ) + 0 0 0 6 8 9 1 ( 6 7 0 7 1 1 2 ) + 0 0 0 8 4 7 5 3 #### 6 7 0 5 6 8 7 3 529 | 4 9 4 2 * 0 7 7 7||0 0 0 0 0 + 0 8 5 4 7 1 ( 0 8 5 4 7 1 ) + 0 0 8 5 4 7 1 ( 0 8 3 0 2 9 1 ) + 0 0 0 8 5 4 7 1 #### 0 8 3 8 7 3 9 1 530 | 3 1 2 4 * 9 3 5 2||7 1 9 7 3 + 0 9 3 6 2 1 ( 7 0 3 4 6 1 ) + 0 0 5 6 0 1 2 ( 7 0 8 0 7 2 2 ) + 0 0 0 6 2 4 8 0 #### 7 0 8 6 9 6 0 1 531 | 6 4 9 6 * 1 9 4 6||6 4 9 6 0 + 0 4 1 5 2 6 ( 6 8 0 2 3 6 ) + 0 0 4 8 7 7 2 ( 6 8 4 0 1 4 3 ) + 0 0 0 6 7 6 1 4 #### 6 8 4 6 8 0 5 4 532 | 2 3 0 8 * 2 0 3 5||4 6 0 6 1 + 0 0 0 0 0 0 ( 4 6 0 6 1 0 ) + 0 0 6 9 0 4 2 ( 4 6 6 5 2 4 2 ) + 0 0 0 0 6 1 0 4 #### 4 6 6 5 8 5 2 4 533 | 2 1 1 8 * 5 1 1 4||0 6 5 0 4 + 0 2 1 1 8 0 ( 0 8 6 1 2 1 ) + 0 0 2 1 1 8 0 ( 0 8 8 2 3 9 0 ) + 0 0 0 8 4 4 2 3 #### 0 8 8 0 8 3 3 3 534 | 5 8 2 1 * 3 9 3 7||5 5 8 3 0 + 0 5 6 5 1 1 ( 5 0 5 9 1 1 ) + 0 0 5 5 8 3 0 ( 5 0 0 5 0 5 0 ) + 0 0 0 5 9 9 8 0 #### 5 0 0 0 0 5 9 0 535 | 8 3 9 8 * 0 4 8 1||0 0 0 0 0 + 0 2 5 7 5 3 ( 0 2 5 7 5 3 ) + 0 0 4 0 5 1 7 ( 0 2 9 7 0 5 7 ) + 0 0 0 8 3 9 8 0 #### 0 2 9 5 4 4 6 1 536 | 5 7 9 5 * 3 2 2 8||5 2 9 7 1 + 0 0 5 9 1 1 ( 5 2 4 7 3 1 ) + 0 0 0 5 9 1 1 ( 5 2 4 2 3 3 1 ) + 0 0 0 0 0 8 7 4 #### 5 2 4 2 3 1 9 4 537 | 8 3 2 2 * 2 0 8 6||6 7 4 4 0 + 0 0 0 0 0 0 ( 6 7 4 4 0 0 ) + 0 0 4 0 9 7 1 ( 6 7 8 4 9 7 1 ) + 0 0 0 8 2 4 3 1 #### 6 7 8 2 2 2 5 1 538 | 0 3 6 5 * 4 9 7 5||0 2 5 2 2 + 0 0 7 6 0 5 ( 0 2 2 9 2 5 ) + 0 0 0 1 4 9 3 ( 0 2 2 0 7 4 4 ) + 0 0 0 0 5 1 8 2 #### 0 2 2 0 2 6 2 3 539 | 1 0 6 6 * 4 2 7 3||4 0 4 6 2 + 0 2 0 2 3 1 ( 4 2 4 8 5 1 ) + 0 0 7 0 2 6 4 ( 4 2 1 9 7 7 4 ) + 0 0 0 3 0 8 9 1 #### 4 2 1 2 8 5 4 2 540 | 7 4 9 9 * 4 7 7 7||8 8 7 9 3 + 0 9 2 6 9 6 ( 8 7 0 6 3 7 ) + 0 0 9 2 6 9 6 ( 8 7 9 8 9 6 7 ) + 0 0 0 9 2 6 9 6 #### 8 7 9 7 2 3 7 7 541 | 9 9 2 5 * 2 2 0 8||8 9 5 0 1 + 0 8 9 5 0 1 ( 8 7 5 6 1 1 ) + 0 0 0 0 0 0 0 ( 8 7 5 6 1 1 0 ) + 0 0 0 2 9 3 2 4 #### 8 7 5 8 0 5 2 4 542 | 0 4 6 8 * 4 6 4 4||0 6 5 4 3 + 0 0 4 8 1 5 ( 0 6 9 2 5 5 ) + 0 0 0 6 5 4 3 ( 0 6 9 8 0 0 4 ) + 0 0 0 0 6 5 4 3 #### 0 6 9 8 6 5 8 3 543 | 8 3 1 6 * 3 2 9 8||4 1 4 8 1 + 0 6 7 2 2 1 ( 4 7 1 1 4 1 ) + 0 0 2 4 2 5 5 ( 4 7 3 5 6 6 5 ) + 0 0 0 4 0 1 9 4 #### 4 7 3 9 6 7 4 5 544 | 5 1 1 2 * 6 4 6 1||0 9 6 2 1 + 0 0 6 4 8 0 ( 0 9 2 7 9 0 ) + 0 0 0 9 6 2 1 ( 0 9 2 6 6 3 1 ) + 0 0 0 5 1 1 2 0 #### 0 9 2 1 8 4 3 0 545 | 3 4 2 7 * 4 8 7 2||2 7 9 8 2 + 0 4 4 9 7 5 ( 2 1 4 8 0 6 ) + 0 0 1 0 7 0 5 ( 2 1 5 8 7 6 5 ) + 0 0 0 6 8 4 4 1 #### 2 1 5 4 6 1 0 2 546 | 2 2 2 8 * 7 3 2 6||4 5 5 7 5 + 0 6 6 6 4 2 ( 4 1 2 4 0 3 ) + 0 0 4 4 4 6 1 ( 4 1 6 8 4 9 1 ) + 0 0 0 2 3 3 9 4 #### 4 1 6 0 8 2 1 5 547 | 2 2 9 4 * 9 8 2 4||8 9 2 4 4 + 0 6 7 3 9 3 ( 8 5 0 8 3 4 ) + 0 0 4 4 8 9 0 ( 8 5 4 2 2 4 1 ) + 0 0 0 8 8 6 9 1 #### 8 5 4 0 1 1 1 2 548 | 3 7 6 5 * 0 0 3 4||0 0 0 0 0 + 0 0 0 0 0 0 ( 0 0 0 0 0 0 ) + 0 0 9 1 0 7 1 ( 0 0 9 1 0 7 1 ) + 0 0 0 2 9 6 2 2 #### 0 0 9 3 9 3 4 2 549 | 9 9 5 2 * 6 6 2 3||4 9 5 5 1 + 0 4 9 5 5 1 ( 4 3 5 1 7 1 ) + 0 0 8 9 1 5 0 ( 4 3 3 1 9 6 0 ) + 0 0 0 7 9 7 7 0 #### 4 3 3 8 8 4 8 0 550 | 9 4 1 9 * 9 6 7 3||1 4 3 2 8 + 0 4 9 8 4 5 ( 1 8 2 1 3 6 ) + 0 0 3 4 0 4 6 ( 1 8 5 5 3 0 7 ) + 0 0 0 7 4 4 7 2 #### 1 8 5 2 8 4 4 3 551 | 8 0 0 3 * 8 3 0 5||4 6 0 4 2 + 0 4 2 0 9 0 ( 4 0 3 4 1 1 ) + 0 0 0 0 0 0 0 ( 4 0 3 4 1 1 0 ) + 0 0 0 0 4 0 5 1 #### 4 0 3 4 5 1 5 1 552 | 4 6 7 6 * 6 9 7 7||4 8 5 0 4 + 0 6 7 8 0 6 ( 4 4 3 9 4 6 ) + 0 0 8 4 3 7 4 ( 4 4 1 4 8 3 5 ) + 0 0 0 8 4 3 7 4 #### 4 4 1 2 3 7 2 5 553 | 3 5 0 8 * 1 2 0 4||3 5 0 8 0 + 0 6 0 1 6 1 ( 3 1 1 9 6 1 ) + 0 0 0 0 0 0 0 ( 3 1 1 9 6 1 0 ) + 0 0 0 2 1 2 2 3 #### 3 1 1 1 8 3 2 3 554 | 9 9 3 1 * 1 6 3 3||9 9 3 1 0 + 0 4 9 3 8 0 ( 9 3 3 5 8 0 ) + 0 0 7 9 1 4 0 ( 9 3 0 5 0 5 0 ) + 0 0 0 7 9 1 4 0 #### 9 3 0 2 0 7 4 0 555 | 0 6 4 6 * 7 2 2 8||0 2 2 5 4 + 0 0 2 9 2 1 ( 0 2 4 4 7 1 ) + 0 0 0 2 9 2 1 ( 0 2 4 6 6 4 1 ) + 0 0 0 0 8 6 1 5 #### 0 2 4 6 4 1 3 5 556 | 1 2 4 9 * 3 7 1 3||3 6 2 8 2 + 0 7 4 9 5 6 ( 3 3 7 7 8 6 ) + 0 0 1 2 4 9 0 ( 3 3 8 9 2 6 1 ) + 0 0 0 3 6 2 8 2 #### 3 3 8 2 9 8 9 2 557 | 0 9 7 7 * 3 9 2 1||0 7 3 3 2 + 0 0 1 1 0 7 ( 0 7 4 4 2 7 ) + 0 0 0 8 5 5 1 ( 0 7 4 2 8 2 2 ) + 0 0 0 0 9 7 7 0 #### 0 7 4 2 7 0 0 1 558 | 6 3 5 8 * 3 2 4 2||8 0 6 5 2 + 0 2 7 0 7 1 ( 8 2 3 6 9 1 ) + 0 0 4 4 1 4 3 ( 8 2 7 0 1 6 3 ) + 0 0 0 2 7 0 7 1 #### 8 2 7 2 8 6 0 2 559 | 0 2 7 8 * 7 2 4 2||0 4 0 1 6 + 0 0 4 4 7 1 ( 0 4 4 5 3 2 ) + 0 0 0 8 8 4 3 ( 0 4 4 3 2 7 3 ) + 0 0 0 0 4 4 7 1 #### 0 4 4 3 6 1 1 2 560 | 5 8 7 5 * 3 7 3 6||5 5 3 7 1 + 0 5 9 4 0 4 ( 5 0 3 2 2 4 ) + 0 0 5 5 3 7 1 ( 5 0 8 7 5 1 2 ) + 0 0 0 0 1 7 4 3 #### 5 0 8 7 6 8 6 3 561 | 7 9 2 3 * 3 0 1 6||1 9 8 9 0 + 0 0 0 0 0 0 ( 1 9 8 9 0 0 ) + 0 0 7 9 2 3 0 ( 1 9 5 9 3 3 0 ) + 0 0 0 2 8 7 9 1 #### 1 9 5 1 2 1 0 2 562 | 3 4 8 7 * 6 8 3 5||8 5 0 7 4 + 0 4 4 7 2 6 ( 8 9 4 4 7 6 ) + 0 0 9 2 5 3 2 ( 8 9 3 7 2 0 3 ) + 0 0 0 5 1 2 9 3 #### 8 9 3 2 4 2 2 4 563 | 4 6 2 9 * 5 6 6 9||0 2 3 6 4 + 0 4 8 5 5 5 ( 0 6 1 2 0 6 ) + 0 0 4 8 5 5 5 ( 0 6 5 0 6 1 6 ) + 0 0 0 6 7 3 3 8 #### 0 6 5 6 3 5 9 8 564 | 5 8 6 3 * 9 2 8 5||5 6 1 3 3 + 0 0 7 3 7 0 ( 5 6 8 6 0 1 ) + 0 0 0 8 4 9 2 ( 5 6 8 4 5 0 3 ) + 0 0 0 5 2 4 8 1 #### 5 6 8 9 7 4 1 2 565 | 3 8 2 2 * 1 6 1 5||3 8 2 2 0 + 0 8 9 6 3 1 ( 3 6 2 9 3 1 ) + 0 0 3 8 2 2 0 ( 3 6 5 7 6 3 0 ) + 0 0 0 5 1 4 1 1 #### 3 6 5 2 8 7 1 1 566 | 8 7 8 5 * 9 3 5 1||2 0 9 2 5 + 0 4 3 6 7 1 ( 2 4 2 9 2 2 ) + 0 0 0 9 3 9 2 ( 2 4 2 8 6 1 3 ) + 0 0 0 8 7 8 5 0 #### 2 4 2 6 4 0 9 0 567 | 1 1 0 4 * 8 6 7 9||8 8 0 2 3 + 0 6 6 0 4 2 ( 8 4 7 2 7 2 ) + 0 0 7 7 0 8 2 ( 8 4 4 0 8 0 3 ) + 0 0 0 9 9 0 6 3 #### 8 4 4 9 7 1 9 3 568 | 9 4 6 1 * 7 7 1 9||3 4 5 1 1 + 0 3 4 5 1 1 ( 3 7 9 6 2 1 ) + 0 0 9 4 6 1 0 ( 3 7 8 1 9 2 0 ) + 0 0 0 1 4 8 4 1 #### 3 7 8 2 3 1 5 1 569 | 6 2 7 8 * 0 3 3 9||0 0 0 0 0 + 0 8 7 1 6 2 ( 0 8 7 1 6 2 ) + 0 0 8 7 1 6 2 ( 0 8 5 9 7 8 2 ) + 0 0 0 4 3 5 8 7 #### 0 8 5 3 1 4 1 8 570 | 2 1 0 1 * 4 7 2 8||8 4 0 4 0 + 0 4 8 0 7 0 ( 8 8 8 4 7 0 ) + 0 0 4 2 0 2 0 ( 8 8 2 7 7 2 0 ) + 0 0 0 6 9 0 8 0 #### 8 8 2 3 7 3 8 0 571 | 4 5 3 5 * 7 6 3 1||8 7 4 7 3 + 0 4 2 1 2 3 ( 8 1 7 8 5 3 ) + 0 0 2 6 0 6 1 ( 8 1 9 4 6 9 1 ) + 0 0 0 4 5 3 5 0 #### 8 1 9 8 1 3 7 0 572 | 3 8 7 4 * 2 6 2 8||6 6 5 9 0 + 0 8 9 6 8 2 ( 6 4 5 6 9 2 ) + 0 0 6 6 5 9 0 ( 6 4 1 3 5 2 1 ) + 0 0 0 4 6 2 8 3 #### 6 4 1 7 1 5 9 3 573 | 1 1 1 8 * 1 7 5 7||1 1 1 8 0 + 0 7 7 7 6 5 ( 1 8 8 5 7 5 ) + 0 0 5 5 5 0 4 ( 1 8 3 1 3 6 4 ) + 0 0 0 7 7 7 6 5 #### 1 8 3 8 0 4 1 6 574 | 6 9 5 2 * 3 6 8 1||8 8 7 7 0 + 0 6 7 5 5 1 ( 8 4 5 3 6 1 ) + 0 0 8 6 7 0 2 ( 8 4 3 0 4 2 2 ) + 0 0 0 6 9 5 2 0 #### 8 4 3 6 3 8 4 0 575 | 9 8 2 1 * 1 3 5 2||9 8 2 1 0 + 0 7 6 8 3 0 ( 9 5 9 9 3 0 ) + 0 0 5 4 4 6 0 ( 9 5 4 4 8 6 0 ) + 0 0 0 8 7 5 2 0 #### 9 5 4 2 6 2 3 0 576 | 7 8 9 8 * 3 0 6 4||1 6 9 6 2 + 0 0 0 0 0 0 ( 1 6 9 6 2 0 ) + 0 0 2 2 9 3 5 ( 1 6 1 9 1 4 5 ) + 0 0 0 8 4 9 5 3 #### 1 6 1 7 6 3 1 4 577 | 1 5 4 3 * 2 2 0 8||2 0 9 6 0 + 0 2 0 9 6 0 ( 2 2 9 5 7 0 ) + 0 0 0 0 0 0 0 ( 2 2 9 5 7 0 0 ) + 0 0 0 8 0 6 7 2 #### 2 2 9 3 8 6 7 2 578 | 2 8 1 9 * 5 9 6 4||0 1 9 5 4 + 0 8 3 6 2 8 ( 0 9 2 2 7 8 ) + 0 0 2 9 0 5 5 ( 0 9 4 1 8 3 6 ) + 0 0 0 8 2 7 6 3 #### 0 9 4 9 0 1 3 4 579 | 7 4 9 7 * 8 1 4 1||6 7 5 3 6 + 0 7 4 9 7 0 ( 6 4 0 3 4 1 ) + 0 0 8 8 7 1 3 ( 6 4 8 1 2 3 3 ) + 0 0 0 7 4 9 7 0 #### 6 4 8 8 6 2 1 1 580 | 0 1 0 2 * 9 6 9 4||0 9 0 8 1 + 0 0 6 0 2 1 ( 0 9 6 8 3 1 ) + 0 0 0 9 0 8 1 ( 0 9 6 7 4 9 1 ) + 0 0 0 0 4 0 8 0 #### 0 9 6 7 8 9 9 0 581 | 0 8 7 2 * 0 8 2 8||0 0 0 0 0 + 0 0 4 2 2 2 ( 0 0 4 2 2 2 ) + 0 0 0 6 5 5 0 ( 0 0 4 8 7 7 0 ) + 0 0 0 0 4 2 2 2 #### 0 0 4 8 1 0 3 2 582 | 6 8 4 9 * 6 0 0 8||6 1 9 6 5 + 0 0 0 0 0 0 ( 6 1 9 6 5 0 ) + 0 0 0 0 0 0 0 ( 6 1 9 6 5 0 0 ) + 0 0 0 8 8 8 5 7 #### 6 1 9 4 4 9 5 7 583 | 2 6 6 9 * 6 6 1 9||2 7 9 7 5 + 0 2 7 9 7 5 ( 2 9 6 7 3 6 ) + 0 0 2 6 6 9 0 ( 2 9 8 3 0 6 1 ) + 0 0 0 8 5 9 6 8 #### 2 9 8 1 6 5 8 8 584 | 1 9 6 8 * 2 9 6 7||2 8 3 7 1 + 0 9 1 2 8 7 ( 2 7 5 9 9 7 ) + 0 0 6 4 1 2 5 ( 2 7 1 4 1 0 6 ) + 0 0 0 7 3 8 0 6 #### 2 7 1 1 5 8 6 6 585 | 5 9 5 5 * 7 2 7 2||5 6 1 9 3 + 0 0 9 1 1 1 ( 5 6 0 1 5 1 ) + 0 0 5 6 1 9 3 ( 5 6 5 7 6 0 4 ) + 0 0 0 0 9 1 1 1 #### 5 6 5 7 5 2 5 1 586 | 7 3 1 5 * 1 3 7 4||7 3 1 5 0 + 0 1 1 4 5 1 ( 7 4 2 9 5 1 ) + 0 0 9 5 9 5 3 ( 7 4 1 5 5 7 3 ) + 0 0 0 8 4 5 0 2 #### 7 4 1 3 0 3 4 2 587 | 7 5 0 5 * 6 1 0 9||2 4 3 0 3 + 0 7 5 0 5 0 ( 2 1 9 0 8 0 ) + 0 0 0 0 0 0 0 ( 2 1 9 0 8 0 0 ) + 0 0 0 3 1 5 5 4 #### 2 1 9 3 9 5 5 4 588 | 2 8 8 4 * 2 4 5 2||4 6 7 9 0 + 0 8 2 5 9 1 ( 4 4 0 5 0 2 ) + 0 0 0 1 4 4 2 ( 4 4 0 6 4 6 2 ) + 0 0 0 4 6 7 9 0 #### 4 4 0 0 1 4 2 1 589 | 6 7 1 8 * 0 7 1 8||0 0 0 0 0 + 0 2 3 2 7 5 ( 0 2 3 2 7 5 ) + 0 0 6 7 1 8 0 ( 0 2 9 9 8 3 1 ) + 0 0 0 8 0 4 5 6 #### 0 2 9 7 9 7 6 6 590 | 1 0 3 9 * 8 3 4 1||8 0 4 4 7 + 0 3 0 9 7 2 ( 8 3 4 3 5 3 ) + 0 0 4 0 2 7 3 ( 8 3 8 3 7 0 4 ) + 0 0 0 1 0 3 9 0 #### 8 3 8 4 7 3 3 1 591 | 1 1 6 2 * 4 7 3 4||4 4 4 0 1 + 0 7 7 2 8 1 ( 4 1 2 3 9 1 ) + 0 0 3 3 8 7 0 ( 4 1 5 6 7 9 0 ) + 0 0 0 4 4 4 0 1 #### 4 1 5 0 2 4 1 1 592 | 1 8 6 3 * 6 8 0 2||6 8 0 2 2 + 0 8 4 4 9 2 ( 6 6 5 6 1 3 ) + 0 0 0 0 0 0 0 ( 6 6 5 6 1 3 0 ) + 0 0 0 2 6 3 7 0 #### 6 6 5 8 7 6 7 0 593 | 8 8 1 2 * 4 8 4 8||2 5 7 8 0 + 0 4 0 5 7 1 ( 2 9 7 3 8 1 ) + 0 0 2 5 7 8 0 ( 2 9 9 8 5 0 1 ) + 0 0 0 4 0 5 7 1 #### 2 9 9 2 6 5 8 1 594 | 1 5 1 9 * 7 5 8 2||7 5 0 4 6 + 0 5 5 7 5 4 ( 7 0 6 1 2 5 ) + 0 0 8 0 2 3 7 ( 7 0 4 2 4 8 7 ) + 0 0 0 2 0 3 8 1 #### 7 0 4 4 4 1 6 2 595 | 5 8 9 4 * 3 7 7 3||5 5 9 4 1 + 0 5 9 8 4 3 ( 5 0 9 3 6 3 ) + 0 0 5 9 8 4 3 ( 5 0 4 3 5 8 3 ) + 0 0 0 5 5 9 4 1 #### 5 0 4 8 0 8 8 1 596 | 0 3 2 7 * 8 4 2 6||0 4 8 7 5 + 0 0 2 9 8 2 ( 0 4 0 7 4 3 ) + 0 0 0 6 4 4 1 ( 0 4 0 3 9 7 1 ) + 0 0 0 0 8 3 3 4 #### 0 4 0 3 7 1 5 4 597 | 4 1 0 9 * 8 7 6 5||2 1 1 2 7 + 0 8 9 0 3 6 ( 2 9 0 3 0 7 ) + 0 0 4 8 0 4 5 ( 2 9 4 1 1 1 6 ) + 0 0 0 0 7 0 5 4 #### 2 9 4 1 8 1 1 5 598 | 1 9 3 9 * 7 3 1 6||7 3 7 5 6 + 0 3 7 1 8 2 ( 7 6 4 7 4 3 ) + 0 0 1 9 3 9 0 ( 7 6 5 6 8 2 1 ) + 0 0 0 6 4 3 6 5 #### 7 6 5 2 3 6 7 5 599 | 8 9 7 2 * 4 6 3 6||2 9 1 1 1 + 0 8 8 7 6 1 ( 2 7 0 9 7 1 ) + 0 0 4 9 3 8 0 ( 2 7 4 8 1 0 1 ) + 0 0 0 8 8 7 6 1 #### 2 7 4 6 0 8 7 1 600 | 9 6 5 1 * 3 4 2 1||7 0 7 4 0 + 0 6 7 2 6 0 ( 7 6 4 7 6 0 ) + 0 0 8 3 1 3 0 ( 7 6 2 1 8 3 0 ) + 0 0 0 9 6 5 1 0 #### 7 6 2 0 5 9 1 0 601 | 4 0 3 6 * 2 9 1 9||8 0 6 2 1 + 0 6 3 7 6 5 ( 8 6 9 9 7 5 ) + 0 0 4 0 3 6 0 ( 8 6 3 0 1 2 1 ) + 0 0 0 6 3 7 6 5 #### 8 6 3 6 4 9 7 5 602 | 6 8 5 7 * 4 6 3 9||4 4 3 0 3 + 0 6 1 5 5 4 ( 4 0 5 5 8 4 ) + 0 0 8 5 7 2 2 ( 4 0 3 1 6 7 2 ) + 0 0 0 4 7 2 8 6 #### 4 0 3 5 3 0 1 7 603 | 5 3 0 3 * 7 8 4 9||5 4 2 1 2 + 0 0 8 2 4 2 ( 5 4 0 4 6 2 ) + 0 0 0 4 1 2 1 ( 5 4 0 8 7 4 1 ) + 0 0 0 5 1 3 7 2 #### 5 4 0 3 9 7 8 2 604 | 9 9 6 1 * 8 0 9 9||2 9 5 3 1 + 0 0 0 0 0 0 ( 2 9 5 3 1 0 ) + 0 0 1 9 2 5 1 ( 2 9 6 2 4 5 1 ) + 0 0 0 1 9 2 5 1 #### 2 9 6 3 3 8 6 1 605 | 4 2 9 5 * 5 2 4 7||0 2 6 9 2 + 0 8 4 8 1 1 ( 0 0 1 8 4 1 ) + 0 0 6 9 6 3 2 ( 0 0 7 7 1 5 2 ) + 0 0 0 8 6 4 1 4 #### 0 0 7 5 8 9 3 4 606 | 2 0 5 2 * 0 2 0 7||0 0 0 0 0 + 0 4 0 0 5 0 ( 0 4 0 0 5 0 ) + 0 0 0 0 0 0 0 ( 0 4 0 0 5 0 0 ) + 0 0 0 4 1 5 7 1 #### 0 4 0 4 6 5 7 1 607 | 1 9 2 3 * 9 4 9 5||9 1 6 9 2 + 0 4 6 1 3 1 ( 9 5 2 1 6 1 ) + 0 0 9 1 6 9 2 ( 9 5 1 3 2 1 3 ) + 0 0 0 5 5 4 6 1 #### 9 5 1 8 7 5 9 1 608 | 9 8 3 8 * 9 5 8 8||1 0 5 5 7 + 0 5 4 9 1 4 ( 1 5 9 4 9 4 ) + 0 0 2 1 1 7 6 ( 1 5 1 6 0 2 7 ) + 0 0 0 2 1 1 7 6 #### 1 5 1 8 1 3 4 7 609 | 9 9 7 3 * 5 2 1 1||5 9 9 8 1 + 0 8 9 5 7 0 ( 5 7 9 4 9 0 ) + 0 0 9 9 7 3 0 ( 5 7 8 4 7 4 0 ) + 0 0 0 9 9 7 3 0 #### 5 7 8 3 7 2 4 0 610 | 2 6 3 7 * 8 7 9 8||6 9 8 8 5 + 0 4 3 5 1 5 ( 6 3 2 4 7 5 ) + 0 0 8 5 2 6 6 ( 6 3 0 0 0 2 7 ) + 0 0 0 6 9 8 8 5 #### 6 3 0 6 9 0 6 6 611 | 6 3 0 2 * 0 2 1 6||0 0 0 0 0 + 0 2 7 0 4 0 ( 0 2 7 0 4 0 ) + 0 0 6 3 0 2 0 ( 0 2 3 4 4 2 0 ) + 0 0 0 6 1 2 2 1 #### 0 2 3 0 6 4 2 1 612 | 1 7 5 2 * 8 6 4 3||8 6 5 0 2 + 0 6 2 4 5 1 ( 8 2 8 4 7 1 ) + 0 0 4 8 2 0 1 ( 8 2 2 3 0 2 1 ) + 0 0 0 3 1 7 7 0 #### 8 2 2 6 1 9 8 0 613 | 0 4 8 5 * 1 6 1 3||0 4 8 5 0 + 0 0 4 0 5 3 ( 0 4 2 6 5 3 ) + 0 0 0 4 8 5 0 ( 0 4 2 0 4 9 0 ) + 0 0 0 0 2 5 7 1 #### 0 4 2 0 6 4 8 1 614 | 0 0 5 8 * 8 8 5 7||0 0 0 8 6 + 0 0 0 0 8 6 ( 0 0 0 8 4 7 ) + 0 0 0 0 5 2 4 ( 0 0 0 8 9 9 4 ) + 0 0 0 0 0 5 9 5 #### 0 0 0 8 9 4 4 6 615 | 5 5 6 3 * 4 8 4 1||0 2 6 4 1 + 0 0 4 2 9 2 ( 0 2 0 7 0 3 ) + 0 0 0 2 6 4 1 ( 0 2 0 9 6 7 1 ) + 0 0 0 5 5 6 3 0 #### 0 2 0 4 2 4 5 0 616 | 8 5 9 8 * 5 0 2 2||0 9 7 4 4 + 0 0 0 0 0 0 ( 0 9 7 4 4 0 ) + 0 0 6 1 9 7 1 ( 0 9 3 6 3 8 1 ) + 0 0 0 6 1 9 7 1 #### 0 9 3 2 5 7 9 1 617 | 5 6 5 1 * 9 9 0 9||5 8 0 4 1 + 0 5 8 0 4 1 ( 5 3 9 4 5 1 ) + 0 0 0 0 0 0 0 ( 5 3 9 4 5 1 0 ) + 0 0 0 5 8 0 4 1 #### 5 3 9 9 3 2 4 1 618 | 6 1 6 7 * 1 1 1 8||6 1 6 7 0 + 0 6 1 6 7 0 ( 6 7 7 3 8 0 ) + 0 0 6 1 6 7 0 ( 6 7 3 5 4 8 0 ) + 0 0 0 8 2 9 0 6 #### 6 7 3 3 7 7 1 6 619 | 3 2 4 2 * 9 6 9 5||7 0 8 1 2 + 0 8 3 5 4 1 ( 7 8 1 7 6 1 ) + 0 0 7 0 8 1 2 ( 7 8 8 7 4 3 2 ) + 0 0 0 5 1 1 2 1 #### 7 8 8 2 6 4 4 1 620 | 0 5 0 4 * 2 2 0 9||0 0 1 8 0 + 0 0 0 1 8 0 ( 0 0 1 9 8 0 ) + 0 0 0 0 0 0 0 ( 0 0 1 9 8 0 0 ) + 0 0 0 0 5 4 6 3 #### 0 0 1 9 3 5 6 3 621 | 8 1 2 1 * 9 2 2 2||2 6 9 0 1 + 0 6 3 4 2 0 ( 2 2 3 5 3 0 ) + 0 0 6 3 4 2 0 ( 2 2 9 8 7 2 0 ) + 0 0 0 6 3 4 2 0 #### 2 2 9 4 1 7 2 0 622 | 6 2 2 6 * 4 4 8 8||4 0 9 4 2 + 0 4 0 9 4 2 ( 4 4 9 3 7 2 ) + 0 0 8 0 8 9 4 ( 4 4 7 4 5 2 5 ) + 0 0 0 8 0 8 9 4 #### 4 4 7 2 6 0 5 5 623 | 6 1 1 9 * 6 5 8 8||6 9 6 4 5 + 0 0 8 5 5 4 ( 6 9 4 0 1 5 ) + 0 0 8 2 9 2 7 ( 6 9 2 3 0 8 7 ) + 0 0 0 8 2 9 2 7 #### 6 9 2 1 3 7 0 8 624 | 8 2 7 9 * 1 7 9 1||8 2 7 9 0 + 0 6 9 0 8 6 ( 8 8 6 0 9 6 ) + 0 0 2 5 5 7 8 ( 8 8 8 5 4 4 9 ) + 0 0 0 8 2 7 9 0 #### 8 8 8 3 7 1 9 1 625 | 1 5 4 4 * 5 7 3 1||5 5 2 2 2 + 0 7 5 1 1 3 ( 5 2 8 3 3 3 ) + 0 0 3 5 3 3 1 ( 5 2 1 9 6 6 1 ) + 0 0 0 1 5 4 4 0 #### 5 2 1 0 2 1 6 0 626 | 1 9 6 2 * 1 6 2 8||1 9 6 2 0 + 0 6 4 1 6 1 ( 1 5 1 4 6 1 ) + 0 0 2 8 3 5 0 ( 1 5 3 2 0 7 0 ) + 0 0 0 8 2 5 1 2 #### 1 5 3 0 3 2 2 2 627 | 9 6 0 6 * 0 9 4 6||0 0 0 0 0 + 0 1 2 6 4 5 ( 0 1 2 6 4 5 ) + 0 0 6 7 2 4 2 ( 0 1 8 3 7 9 2 ) + 0 0 0 4 1 4 6 3 #### 0 1 8 7 8 3 9 3 628 | 3 1 4 4 * 7 3 3 1||1 9 8 0 3 + 0 9 3 2 3 1 ( 1 8 2 3 6 1 ) + 0 0 9 3 2 3 1 ( 1 8 1 7 8 4 1 ) + 0 0 0 3 1 4 4 0 #### 1 8 1 0 0 9 5 0 629 | 0 7 8 3 * 2 0 0 8||0 4 7 7 0 + 0 0 0 0 0 0 ( 0 4 7 7 0 0 ) + 0 0 0 0 0 0 0 ( 0 4 7 7 0 0 0 ) + 0 0 0 0 6 9 0 3 #### 0 4 7 7 6 9 0 3 630 | 3 0 1 2 * 7 0 7 8||1 2 7 4 1 + 0 0 0 0 0 0 ( 1 2 7 4 1 0 ) + 0 0 1 2 7 4 1 ( 1 2 8 6 8 4 1 ) + 0 0 0 4 2 8 6 1 #### 1 2 8 0 1 3 8 1 631 | 9 5 4 6 * 5 8 4 5||5 9 2 2 3 + 0 2 7 6 1 5 ( 5 1 0 9 4 5 ) + 0 0 6 3 8 5 2 ( 5 1 6 2 3 1 3 ) + 0 0 0 5 9 2 2 3 #### 5 1 6 7 2 4 5 3 632 | 7 7 3 4 * 8 3 7 4||6 1 0 5 3 + 0 1 3 1 3 1 ( 6 2 3 6 6 1 ) + 0 0 9 3 6 0 3 ( 6 2 2 0 3 2 3 ) + 0 0 0 8 0 5 7 1 #### 6 2 2 8 3 7 0 2 633 | 5 2 6 1 * 7 7 5 9||5 7 3 1 1 + 0 5 7 3 1 1 ( 5 2 1 5 2 1 ) + 0 0 5 2 1 8 0 ( 5 2 6 7 3 9 0 ) + 0 0 0 5 2 6 4 1 #### 5 2 6 2 6 5 5 1 634 | 7 6 6 6 * 0 2 2 7||0 0 0 0 0 + 0 4 3 3 3 1 ( 0 4 3 3 3 1 ) + 0 0 4 3 3 3 1 ( 0 4 7 6 6 4 1 ) + 0 0 0 9 6 6 6 4 #### 0 4 7 5 3 1 8 4 635 | 9 1 8 9 * 4 7 6 6||6 7 2 9 3 + 0 3 3 7 8 6 ( 6 0 6 6 2 7 ) + 0 0 4 1 9 8 5 ( 6 0 0 8 1 6 6 ) + 0 0 0 4 1 9 8 5 #### 6 0 0 2 3 5 5 6 636 | 8 9 4 9 * 0 9 9 9||0 0 0 0 0 + 0 2 8 4 5 8 ( 0 2 8 4 5 8 ) + 0 0 2 8 4 5 8 ( 0 2 0 3 0 4 9 ) + 0 0 0 2 8 4 5 8 #### 0 2 0 5 8 8 4 9 637 | 0 0 6 1 * 2 0 2 6||0 0 2 3 0 + 0 0 0 0 0 0 ( 0 0 2 3 0 0 ) + 0 0 0 0 2 3 0 ( 0 0 2 3 2 3 0 ) + 0 0 0 0 0 6 9 0 #### 0 0 2 3 2 9 9 0 638 | 7 0 8 3 * 6 2 6 3||2 4 8 2 2 + 0 4 1 6 7 0 ( 2 8 9 8 9 0 ) + 0 0 2 4 8 2 2 ( 2 8 1 3 8 3 2 ) + 0 0 0 1 2 4 1 1 #### 2 8 1 4 0 8 3 1 639 | 6 0 6 2 * 6 7 2 9||6 3 6 5 1 + 0 2 4 2 8 1 ( 6 5 0 8 9 1 ) + 0 0 2 1 2 5 0 ( 6 5 2 9 1 7 0 ) + 0 0 0 4 5 4 3 2 #### 6 5 2 3 7 1 4 2 640 | 5 9 3 9 * 2 5 9 9||0 9 7 8 1 + 0 5 7 9 6 4 ( 0 4 5 8 8 4 ) + 0 0 5 5 5 4 8 ( 0 4 0 4 4 9 8 ) + 0 0 0 5 5 5 4 8 #### 0 4 0 9 9 4 3 9 641 | 7 1 1 8 * 3 3 2 3||1 5 3 4 2 + 0 1 5 3 4 2 ( 1 6 8 7 6 2 ) + 0 0 4 3 2 6 1 ( 1 6 2 1 9 8 1 ) + 0 0 0 1 5 3 4 2 #### 1 6 2 2 4 2 6 2 642 | 3 6 1 9 * 9 8 7 5||7 6 4 2 8 + 0 4 0 3 3 7 ( 7 0 5 5 1 8 ) + 0 0 1 4 1 4 6 ( 7 0 6 9 2 2 7 ) + 0 0 0 5 1 8 5 4 #### 7 0 6 4 4 0 3 5 643 | 6 6 8 5 * 1 7 6 8||6 6 8 5 0 + 0 2 6 0 1 4 ( 6 8 4 6 1 4 ) + 0 0 6 9 1 5 3 ( 6 8 0 6 3 9 3 ) + 0 0 0 8 2 9 6 4 #### 6 8 0 4 6 8 0 5 644 | 4 8 2 5 * 3 0 0 8||2 5 8 5 1 + 0 0 0 0 0 0 ( 2 5 8 5 1 0 ) + 0 0 0 0 0 0 0 ( 2 5 8 5 1 0 0 ) + 0 0 0 2 7 2 2 4 #### 2 5 8 7 8 2 2 4 645 | 3 9 3 4 * 6 0 3 5||8 5 3 6 2 + 0 0 0 0 0 0 ( 8 5 3 6 2 0 ) + 0 0 9 7 1 3 1 ( 8 5 2 4 4 3 1 ) + 0 0 0 5 6 9 1 2 #### 8 5 2 9 0 3 3 2 646 | 9 3 4 7 * 8 2 2 1||2 1 5 9 5 + 0 8 7 8 4 1 ( 2 9 2 8 0 2 ) + 0 0 8 7 8 4 1 ( 2 9 0 6 9 6 1 ) + 0 0 0 9 3 4 7 0 #### 2 9 0 5 3 1 9 0 647 | 5 5 4 6 * 0 2 0 7||0 0 0 0 0 + 0 0 1 9 2 1 ( 0 0 1 9 2 1 ) + 0 0 0 0 0 0 0 ( 0 0 1 9 2 1 0 ) + 0 0 0 5 8 1 5 4 #### 0 0 1 4 1 3 5 4 648 | 1 2 1 5 * 7 8 5 3||7 4 8 5 3 + 0 8 6 9 0 4 ( 7 2 5 5 4 4 ) + 0 0 5 0 6 5 2 ( 7 2 0 6 0 0 3 ) + 0 0 0 3 6 3 5 1 #### 7 2 0 9 6 3 8 1 649 | 7 3 4 3 * 8 9 3 5||6 9 4 7 2 + 0 3 3 9 0 3 ( 6 2 8 6 3 3 ) + 0 0 1 1 3 0 1 ( 6 2 9 7 6 3 1 ) + 0 0 0 5 8 1 7 1 #### 6 2 9 2 5 5 8 1 650 | 0 5 9 6 * 7 9 1 9||0 5 6 8 4 + 0 0 5 5 2 6 ( 0 5 1 4 7 6 ) + 0 0 0 5 9 6 0 ( 0 5 1 9 6 3 1 ) + 0 0 0 0 5 5 2 6 #### 0 5 1 9 1 9 3 6 651 | 0 0 5 5 * 1 6 8 4||0 0 5 5 0 + 0 0 0 0 3 3 ( 0 0 5 5 3 3 ) + 0 0 0 0 0 4 4 ( 0 0 5 5 3 7 4 ) + 0 0 0 0 0 0 2 2 #### 0 0 5 5 3 7 6 2 652 | 7 7 2 1 * 5 3 5 2||5 8 3 6 0 + 0 1 3 8 3 0 ( 5 9 6 4 4 0 ) + 0 0 5 8 3 6 0 ( 5 9 1 3 8 6 0 ) + 0 0 0 4 5 5 2 0 #### 5 9 1 7 3 2 3 0 653 | 5 7 8 4 * 2 0 6 4||0 5 7 9 0 + 0 0 0 0 0 0 ( 0 5 7 9 0 0 ) + 0 0 0 5 2 9 2 ( 0 5 7 4 3 9 2 ) + 0 0 0 0 0 5 9 1 #### 0 5 7 4 3 4 2 2 654 | 9 5 4 8 * 5 2 6 5||5 9 2 2 4 + 0 8 1 9 6 1 ( 5 7 4 1 1 2 ) + 0 0 4 5 7 0 5 ( 5 7 8 6 8 2 5 ) + 0 0 0 5 9 2 2 4 #### 5 7 8 1 8 5 7 4 655 | 0 6 2 1 * 5 9 5 8||0 0 3 6 0 + 0 0 4 3 1 1 ( 0 0 7 9 1 1 ) + 0 0 0 0 3 6 0 ( 0 0 7 9 4 7 0 ) + 0 0 0 0 8 0 0 1 #### 0 0 7 9 2 8 0 1 656 | 7 6 8 8 * 6 2 3 4||2 0 2 3 5 + 0 4 3 7 7 1 ( 2 4 5 0 3 2 ) + 0 0 1 0 6 6 2 ( 2 4 6 0 9 8 2 ) + 0 0 0 8 6 4 5 3 #### 2 4 6 8 5 3 8 3 657 | 5 4 7 8 * 0 2 2 1||0 0 0 0 0 + 0 0 9 4 7 1 ( 0 0 9 4 7 1 ) + 0 0 0 9 4 7 1 ( 0 0 9 3 2 9 1 ) + 0 0 0 5 4 7 8 0 #### 0 0 9 8 6 6 0 1 658 | 5 9 2 2 * 0 8 0 6||0 0 0 0 0 + 0 0 6 3 8 1 ( 0 0 6 3 8 1 ) + 0 0 0 0 0 0 0 ( 0 0 6 3 8 1 0 ) + 0 0 0 0 7 7 3 1 #### 0 0 6 3 5 9 3 1 659 | 9 5 1 5 * 3 8 8 1||7 7 4 5 1 + 0 2 7 2 1 4 ( 7 9 1 8 2 4 ) + 0 0 2 7 2 1 4 ( 7 9 3 5 5 5 4 ) + 0 0 0 9 5 1 5 0 #### 7 9 3 4 1 7 9 0 660 | 6 2 6 8 * 6 0 1 2||6 5 7 1 5 + 0 0 0 0 0 0 ( 6 5 7 1 5 0 ) + 0 0 6 2 6 8 0 ( 6 5 3 4 1 9 0 ) + 0 0 0 2 5 2 7 1 #### 6 5 3 6 6 1 8 1 661 | 5 7 6 3 * 5 6 9 5||5 7 3 8 1 + 0 0 5 0 2 2 ( 5 7 8 8 3 2 ) + 0 0 5 7 0 3 3 ( 5 7 3 6 4 5 3 ) + 0 0 0 5 7 3 8 1 #### 5 7 3 1 2 9 1 2 662 | 3 2 5 4 * 5 7 0 5||5 1 6 2 2 + 0 1 6 6 1 3 ( 5 2 2 9 3 3 ) + 0 0 0 0 0 0 0 ( 5 2 2 9 3 3 0 ) + 0 0 0 5 1 6 2 2 #### 5 2 2 4 5 9 2 2 663 | 9 8 0 7 * 9 3 2 1||1 0 8 3 6 + 0 7 6 2 1 2 ( 1 7 4 6 7 2 ) + 0 0 8 7 1 4 1 ( 1 7 2 4 9 6 1 ) + 0 0 0 9 8 0 7 0 #### 1 7 2 3 8 7 8 0 664 | 3 4 6 6 * 3 6 1 1||9 2 9 9 1 + 0 8 5 8 9 3 ( 9 0 5 8 1 4 ) + 0 0 3 4 6 6 0 ( 9 0 8 2 8 0 1 ) + 0 0 0 3 4 6 6 0 #### 9 0 8 5 2 7 7 0 665 | 7 3 2 9 * 0 9 7 2||0 0 0 0 0 + 0 3 3 1 3 8 ( 0 3 3 1 3 8 ) + 0 0 9 5 6 4 6 ( 0 3 2 7 9 2 7 ) + 0 0 0 4 7 4 8 1 #### 0 3 2 1 7 7 5 2 666 | 7 7 5 7 * 5 2 8 3||5 8 8 7 3 + 0 4 5 1 5 1 ( 5 2 4 9 8 1 ) + 0 0 6 1 6 0 6 ( 5 2 0 1 5 2 6 ) + 0 0 0 1 3 7 2 2 #### 5 2 0 2 8 9 8 2 667 | 4 9 7 5 * 5 9 6 3||0 7 9 8 2 + 0 6 4 1 2 5 ( 0 3 4 0 5 5 ) + 0 0 4 6 7 4 3 ( 0 3 8 6 2 0 4 ) + 0 0 0 2 8 3 7 1 #### 0 3 8 8 0 4 1 2 668 | 8 4 7 2 * 4 2 6 3||2 9 9 0 1 + 0 6 9 4 5 0 ( 2 5 9 5 6 0 ) + 0 0 8 8 4 6 1 ( 2 5 7 4 1 7 1 ) + 0 0 0 4 4 2 8 0 #### 2 5 7 8 5 9 9 0 669 | 0 9 8 6 * 8 8 0 4||0 2 1 5 5 + 0 0 2 1 5 5 ( 0 2 3 6 0 6 ) + 0 0 0 0 0 0 0 ( 0 2 3 6 0 6 0 ) + 0 0 0 0 6 5 7 2 #### 0 2 3 6 6 1 8 2 670 | 8 2 6 1 * 0 2 2 2||0 0 0 0 0 + 0 6 5 2 3 0 ( 0 6 5 2 3 0 ) + 0 0 6 5 2 3 0 ( 0 6 1 8 5 3 0 ) + 0 0 0 6 5 2 3 0 #### 0 6 1 4 1 6 3 0 671 | 1 3 3 7 * 8 7 2 1||8 4 6 8 5 + 0 7 1 3 1 5 ( 8 1 8 1 7 5 ) + 0 0 2 6 6 4 1 ( 8 1 0 8 3 0 2 ) + 0 0 0 1 3 3 7 0 #### 8 1 0 9 6 3 9 0 672 | 3 2 8 5 * 8 9 2 5||4 8 5 6 4 + 0 7 0 4 2 5 ( 4 5 6 0 7 5 ) + 0 0 6 4 6 1 1 ( 4 5 2 5 3 7 1 ) + 0 0 0 5 1 1 9 2 #### 4 5 2 0 5 8 0 3 673 | 6 6 3 1 * 4 7 8 3||4 6 4 5 0 + 0 2 6 5 9 0 ( 4 8 0 1 0 1 ) + 0 0 8 2 9 0 1 ( 4 8 8 3 9 1 1 ) + 0 0 0 8 9 0 4 0 #### 4 8 8 1 9 2 5 0 674 | 0 2 4 1 * 0 6 6 8||0 0 0 0 0 + 0 0 2 5 8 0 ( 0 0 2 5 8 0 ) + 0 0 0 2 5 8 0 ( 0 0 2 7 3 9 0 ) + 0 0 0 0 6 3 1 1 #### 0 0 2 7 9 2 2 1 675 | 2 5 6 8 * 0 6 5 3||0 0 0 0 0 + 0 2 1 9 1 5 ( 0 2 1 9 1 5 ) + 0 0 0 6 2 3 4 ( 0 2 1 5 4 8 4 ) + 0 0 0 6 5 9 5 2 #### 0 2 1 1 0 8 0 3 676 | 3 3 2 7 * 5 6 1 4||5 6 1 6 3 + 0 8 9 3 3 4 ( 5 4 1 0 7 4 ) + 0 0 3 3 2 7 0 ( 5 4 4 3 9 1 1 ) + 0 0 0 2 3 9 8 2 #### 5 4 4 5 2 1 0 3 677 | 6 2 2 9 * 4 1 8 8||4 0 9 6 3 + 0 6 2 2 9 0 ( 4 6 1 9 2 1 ) + 0 0 8 0 8 3 7 ( 4 6 9 9 0 5 7 ) + 0 0 0 8 0 8 3 7 #### 4 6 9 7 1 3 1 8 678 | 4 8 3 9 * 4 4 6 7||6 3 5 7 3 + 0 6 3 5 7 3 ( 6 9 8 2 1 4 ) + 0 0 4 0 3 6 5 ( 6 9 2 3 4 0 6 ) + 0 0 0 8 8 6 5 6 #### 6 9 2 1 3 7 1 7 679 | 7 9 0 6 * 1 5 9 5||7 9 0 6 0 + 0 5 8 4 0 3 ( 7 4 9 0 1 3 ) + 0 0 3 7 8 4 5 ( 7 4 2 8 9 7 5 ) + 0 0 0 5 8 4 0 3 #### 7 4 2 3 8 2 6 3 680 | 5 7 3 7 * 2 3 4 7||0 5 7 4 1 + 0 5 2 1 2 2 ( 0 0 0 6 3 2 ) + 0 0 0 0 5 9 2 ( 0 0 0 6 8 1 3 ) + 0 0 0 5 2 6 1 5 #### 0 0 0 1 1 8 4 5 681 | 1 0 4 5 * 3 8 2 4||3 0 2 6 1 + 0 8 0 2 3 4 ( 3 8 2 8 4 4 ) + 0 0 2 0 8 0 1 ( 3 8 4 8 2 5 1 ) + 0 0 0 4 0 6 1 2 #### 3 8 4 2 3 1 3 2 682 | 7 5 8 9 * 4 2 9 1||8 2 4 9 3 + 0 4 1 7 9 1 ( 8 6 5 6 3 2 ) + 0 0 3 1 7 8 8 ( 8 6 8 7 0 1 9 ) + 0 0 0 7 5 8 9 0 #### 8 6 8 4 6 9 8 1 683 | 8 3 0 4 * 2 0 9 1||6 7 0 8 0 + 0 0 0 0 0 0 ( 6 7 0 8 0 0 ) + 0 0 2 4 3 6 3 ( 6 7 2 2 4 6 3 ) + 0 0 0 8 3 0 4 0 #### 6 7 2 0 8 6 7 0 684 | 0 8 6 9 * 9 6 5 5||0 2 1 7 8 + 0 0 8 0 8 5 ( 0 2 9 7 6 6 ) + 0 0 0 0 4 8 4 ( 0 2 9 7 0 5 5 ) + 0 0 0 0 0 4 8 4 #### 0 2 9 7 0 9 3 5 685 | 5 3 4 9 * 4 1 1 4||0 4 7 7 3 + 0 5 3 4 9 0 ( 0 9 0 2 3 1 ) + 0 0 5 3 4 9 0 ( 0 9 5 5 7 0 1 ) + 0 0 0 0 4 7 7 3 #### 0 9 5 5 1 8 8 3 686 | 6 0 3 3 * 0 1 2 6||0 0 0 0 0 + 0 6 0 3 3 0 ( 0 6 0 3 3 0 ) + 0 0 2 1 6 6 0 ( 0 6 2 4 9 6 0 ) + 0 0 0 6 3 8 9 1 #### 0 6 2 0 3 5 0 2 687 | 4 6 0 3 * 9 7 5 6||6 7 5 7 2 + 0 8 4 4 1 2 ( 6 5 0 2 4 2 ) + 0 0 0 2 3 5 1 ( 6 5 0 4 7 7 1 ) + 0 0 0 4 8 3 8 1 #### 6 5 0 8 5 1 0 2 688 | 2 4 3 5 * 0 3 1 2||0 0 0 0 0 + 0 6 2 0 6 1 ( 0 6 2 0 6 1 ) + 0 0 2 4 3 5 0 ( 0 6 4 4 9 6 0 ) + 0 0 0 4 8 6 0 1 #### 0 6 4 8 7 3 1 1 689 | 4 4 5 1 * 1 0 9 1||4 4 5 1 0 + 0 0 0 0 0 0 ( 4 4 5 1 0 0 ) + 0 0 6 9 8 3 1 ( 4 4 1 1 9 3 1 ) + 0 0 0 4 4 5 1 0 #### 4 4 1 5 3 9 2 0 690 | 9 4 9 1 * 2 8 2 3||8 9 8 3 0 + 0 2 9 5 5 1 ( 8 1 8 9 5 1 ) + 0 0 8 9 8 3 0 ( 8 1 6 9 4 5 0 ) + 0 0 0 7 4 8 5 0 #### 8 1 6 6 9 3 6 0 691 | 8 5 9 6 * 7 1 2 2||6 0 7 8 4 + 0 8 5 9 6 0 ( 6 8 2 8 1 1 ) + 0 0 6 1 9 3 1 ( 6 8 8 9 0 5 1 ) + 0 0 0 6 1 9 3 1 #### 6 8 8 5 2 4 5 1 692 | 3 5 3 1 * 4 3 6 9||2 1 4 5 0 + 0 9 5 0 4 0 ( 2 0 0 6 4 0 ) + 0 0 8 1 1 8 0 ( 2 0 8 7 5 8 0 ) + 0 0 0 7 7 1 2 1 #### 2 0 8 4 3 0 3 1 693 | 8 6 2 1 * 4 2 5 2||2 7 0 5 0 + 0 6 3 5 2 0 ( 2 3 4 0 3 0 ) + 0 0 0 4 3 6 0 ( 2 3 4 4 6 6 0 ) + 0 0 0 6 3 5 2 0 #### 2 3 4 0 0 2 3 0 694 | 7 7 5 7 * 2 3 3 8||4 5 1 5 1 + 0 1 3 7 2 2 ( 4 6 4 2 4 2 ) + 0 0 1 3 7 2 2 ( 4 6 5 5 1 5 2 ) + 0 0 0 6 1 6 0 6 #### 4 6 5 1 3 1 3 6 695 | 7 1 8 8 * 8 5 6 9||6 3 5 0 7 + 0 5 8 0 4 4 ( 6 8 3 1 1 5 ) + 0 0 2 0 9 2 5 ( 6 8 5 1 0 8 5 ) + 0 0 0 3 5 3 9 7 #### 6 8 5 4 5 1 5 8 696 | 2 8 8 9 * 1 2 7 2||2 8 8 9 0 + 0 4 6 7 9 1 ( 2 2 5 7 0 2 ) + 0 0 4 7 1 9 6 ( 2 2 9 4 2 1 7 ) + 0 0 0 4 6 7 9 1 #### 2 2 9 8 8 8 6 2 697 | 9 5 6 1 * 2 4 5 6||8 1 3 3 0 + 0 6 3 6 6 0 ( 8 7 6 9 6 0 ) + 0 0 5 9 2 8 0 ( 8 7 1 9 9 8 0 ) + 0 0 0 4 5 9 9 0 #### 8 7 1 3 5 8 0 1 698 | 2 3 1 3 * 6 3 6 8||2 9 7 8 1 + 0 6 9 3 9 0 ( 2 5 7 2 1 1 ) + 0 0 2 9 7 8 1 ( 2 5 9 1 9 9 1 ) + 0 0 0 6 5 0 5 2 #### 2 5 9 7 4 0 7 2 699 | 2 6 0 6 * 2 6 8 7||4 2 1 2 1 + 0 2 7 3 6 3 ( 4 4 8 5 7 3 ) + 0 0 6 9 4 8 4 ( 4 4 4 5 2 2 5 ) + 0 0 0 4 3 4 2 4 #### 4 4 4 9 5 6 7 4 700 | 5 7 7 4 * 4 4 8 4||0 0 1 9 1 + 0 0 0 1 9 1 ( 0 0 1 0 1 2 ) + 0 0 0 0 2 8 3 ( 0 0 1 0 3 0 4 ) + 0 0 0 0 0 1 9 1 #### 0 0 1 0 3 1 3 2 701 | 2 3 4 1 * 6 1 1 5||2 9 5 8 0 + 0 2 3 4 1 0 ( 2 1 9 2 2 0 ) + 0 0 2 3 4 1 0 ( 2 1 1 6 6 1 0 ) + 0 0 0 0 6 1 7 0 #### 2 1 1 6 2 3 7 0 702 | 0 1 3 4 * 6 6 4 9||0 6 8 5 2 + 0 0 6 8 5 2 ( 0 6 4 4 8 2 ) + 0 0 0 4 2 7 1 ( 0 6 4 8 0 0 2 ) + 0 0 0 0 9 7 8 3 #### 0 6 4 8 9 7 0 4 703 | 9 0 0 3 * 8 5 5 6||2 7 0 4 2 + 0 5 4 0 5 1 ( 2 2 5 4 7 1 ) + 0 0 5 4 0 5 1 ( 2 2 0 9 7 6 1 ) + 0 0 0 4 5 0 8 1 #### 2 2 0 3 3 7 9 1 704 | 3 6 0 1 * 1 5 2 7||3 6 0 1 0 + 0 5 1 3 5 0 ( 3 1 2 4 5 0 ) + 0 0 6 2 1 2 0 ( 3 1 8 6 6 2 0 ) + 0 0 0 1 4 4 7 0 #### 3 1 8 7 0 7 7 0 705 | 5 4 6 2 * 0 4 7 7||0 0 0 0 0 + 0 0 8 5 0 1 ( 0 0 8 5 0 1 ) + 0 0 5 1 5 8 1 ( 0 0 3 7 5 9 1 ) + 0 0 0 5 1 5 8 1 #### 0 0 3 2 7 4 0 2 706 | 1 8 0 7 * 9 4 3 3||9 2 7 3 6 + 0 4 2 3 8 2 ( 9 6 9 6 4 3 ) + 0 0 3 4 2 1 2 ( 9 6 2 1 7 4 2 ) + 0 0 0 3 4 2 1 2 #### 9 6 2 4 1 7 3 2 707 | 0 9 0 5 * 2 8 8 7||0 8 1 0 1 + 0 0 2 7 0 4 ( 0 8 3 7 1 4 ) + 0 0 0 2 7 0 4 ( 0 8 3 9 8 4 4 ) + 0 0 0 0 3 6 5 3 #### 0 8 3 9 1 1 0 4 708 | 4 0 6 6 * 5 0 0 9||0 2 0 3 3 + 0 0 0 0 0 0 ( 0 2 0 3 3 0 ) + 0 0 0 0 0 0 0 ( 0 2 0 3 3 0 0 ) + 0 0 0 6 3 4 9 5 #### 0 2 0 9 6 4 9 5 709 | 5 4 0 1 * 8 5 2 2||0 6 3 8 0 + 0 5 2 2 5 0 ( 0 1 6 0 6 0 ) + 0 0 0 9 0 2 0 ( 0 1 6 9 6 2 0 ) + 0 0 0 0 9 0 2 0 #### 0 1 6 9 5 3 2 0 710 | 2 3 1 3 * 8 8 5 6||6 5 0 5 2 + 0 6 5 0 5 2 ( 6 1 6 5 7 2 ) + 0 0 0 6 6 5 1 ( 6 1 6 1 4 8 1 ) + 0 0 0 2 9 7 8 1 #### 6 1 6 3 3 6 0 2 711 | 2 5 2 2 * 4 7 7 1||8 0 0 9 0 + 0 4 6 7 5 1 ( 8 4 6 6 6 1 ) + 0 0 4 6 7 5 1 ( 8 4 0 3 4 7 1 ) + 0 0 0 2 5 2 2 0 #### 8 4 0 5 9 9 3 0 712 | 0 6 3 5 * 1 5 7 9||0 6 3 5 0 + 0 0 0 8 6 2 ( 0 6 3 3 7 2 ) + 0 0 0 2 5 7 3 ( 0 6 3 5 2 0 4 ) + 0 0 0 0 4 2 8 4 #### 0 6 3 5 6 2 2 5 713 | 9 3 3 3 * 8 2 3 4||2 1 7 6 2 + 0 8 7 6 6 0 ( 2 9 4 3 9 0 ) + 0 0 7 1 0 0 1 ( 2 9 1 5 9 0 1 ) + 0 0 0 6 5 3 3 1 #### 2 9 1 1 5 4 4 1 714 | 2 6 1 8 * 0 1 5 4||0 0 0 0 0 + 0 2 6 1 8 0 ( 0 2 6 1 8 0 ) + 0 0 0 1 8 0 4 ( 0 2 6 2 6 1 4 ) + 0 0 0 8 4 6 2 3 #### 0 2 6 0 1 8 6 3 715 | 7 9 5 3 * 5 9 5 6||5 8 9 7 1 + 0 3 7 3 2 3 ( 5 1 7 1 4 3 ) + 0 0 5 8 9 7 1 ( 5 1 2 0 4 1 2 ) + 0 0 0 2 8 5 1 2 #### 5 1 2 2 2 7 3 2 716 | 4 7 9 8 * 0 5 3 6||0 0 0 0 0 + 0 0 7 8 4 4 ( 0 0 7 8 4 4 ) + 0 0 2 2 9 6 2 ( 0 0 9 0 4 1 3 ) + 0 0 0 4 4 8 3 5 #### 0 0 9 4 8 9 6 5 717 | 6 4 6 5 * 8 0 0 9||8 6 1 5 4 + 0 0 0 0 0 0 ( 8 6 1 5 4 0 ) + 0 0 0 0 0 0 0 ( 8 6 1 5 4 0 0 ) + 0 0 0 4 1 8 0 5 #### 8 6 1 9 5 8 0 5 718 | 1 3 2 9 * 2 2 9 3||2 6 4 8 1 + 0 2 6 4 8 1 ( 2 8 0 3 0 2 ) + 0 0 9 7 0 3 8 ( 2 8 9 0 1 5 8 ) + 0 0 0 3 9 6 7 2 #### 2 8 9 3 0 2 6 3 719 | 2 5 5 2 * 1 5 7 6||2 5 5 2 0 + 0 0 6 7 2 1 ( 2 5 1 0 3 1 ) + 0 0 4 6 8 7 1 ( 2 5 5 6 1 9 1 ) + 0 0 0 2 1 3 5 1 #### 2 5 5 8 2 2 7 1 720 | 3 7 2 9 * 8 0 9 7||4 8 1 4 7 + 0 0 0 0 0 0 ( 4 8 1 4 7 0 ) + 0 0 7 5 4 3 8 ( 4 8 8 9 1 4 8 ) + 0 0 0 1 1 9 4 6 #### 4 8 8 0 3 3 3 7 721 | 0 9 1 8 * 8 0 2 9||0 2 5 5 6 + 0 0 0 0 0 0 ( 0 2 5 5 6 0 ) + 0 0 0 8 3 6 1 ( 0 2 5 3 0 7 1 ) + 0 0 0 0 1 7 3 7 #### 0 2 5 3 1 4 5 7 722 | 6 9 1 2 * 4 8 6 1||4 8 7 8 0 + 0 8 6 5 7 1 ( 4 6 4 4 8 1 ) + 0 0 6 7 1 3 1 ( 4 6 0 2 0 5 1 ) + 0 0 0 6 9 1 2 0 #### 4 6 0 8 9 6 3 0 723 | 5 9 7 7 * 2 7 6 2||0 9 5 5 1 + 0 5 6 5 4 5 ( 0 4 2 1 6 5 ) + 0 0 0 7 7 6 4 ( 0 4 2 8 3 2 5 ) + 0 0 0 0 9 5 5 1 #### 0 4 2 8 2 8 0 2 724 | 9 9 5 1 * 3 6 4 8||7 9 7 4 0 + 0 4 9 5 9 0 ( 7 3 7 0 0 1 ) + 0 0 6 9 3 6 0 ( 7 3 3 0 4 7 0 ) + 0 0 0 2 9 7 2 1 #### 7 3 3 2 3 5 3 1 725 | 3 5 6 3 * 8 8 7 9||4 2 2 9 2 + 0 4 2 2 9 2 ( 4 6 4 1 2 3 ) + 0 0 1 7 5 5 2 ( 4 6 5 8 7 8 2 ) + 0 0 0 7 7 8 2 3 #### 4 6 5 5 5 7 5 3 726 | 5 8 4 7 * 4 4 5 1||0 4 9 9 2 + 0 0 4 9 9 2 ( 0 4 3 9 2 3 ) + 0 0 5 2 4 7 3 ( 0 4 8 1 7 0 4 ) + 0 0 0 5 8 4 7 0 #### 0 4 8 6 5 5 1 1 727 | 3 8 4 6 * 6 6 4 7||8 9 8 8 3 + 0 8 9 8 8 3 ( 8 7 8 7 2 4 ) + 0 0 2 3 9 5 2 ( 8 7 0 1 2 0 3 ) + 0 0 0 1 8 3 5 4 #### 8 7 0 2 0 4 8 4 728 | 7 5 0 5 * 2 8 9 6||4 1 1 0 1 + 0 6 5 4 0 4 ( 4 7 6 4 1 4 ) + 0 0 3 1 5 5 4 ( 4 7 9 5 6 9 4 ) + 0 0 0 2 4 3 0 3 #### 4 7 9 7 0 3 5 3 729 | 0 1 1 6 * 7 7 7 1||0 7 7 2 4 + 0 0 7 7 2 4 ( 0 7 4 0 7 4 ) + 0 0 0 7 7 2 4 ( 0 7 4 7 4 7 4 ) + 0 0 0 0 1 1 6 0 #### 0 7 4 7 5 8 0 1 730 | 4 9 2 1 * 1 8 7 7||4 9 2 1 0 + 0 2 5 3 0 1 ( 4 1 8 4 0 1 ) + 0 0 8 5 0 9 0 ( 4 1 6 0 1 0 1 ) + 0 0 0 8 5 0 9 0 #### 4 1 6 8 6 0 0 1 731 | 7 5 9 6 * 0 0 3 4||0 0 0 0 0 + 0 0 0 0 0 0 ( 0 0 0 0 0 0 ) + 0 0 1 7 8 0 2 ( 0 0 1 7 8 0 2 ) + 0 0 0 8 2 8 7 2 #### 0 0 1 5 1 9 9 2 732 | 0 3 3 8 * 6 8 1 2||0 8 9 9 4 + 0 0 4 6 6 6 ( 0 8 3 6 1 7 ) + 0 0 0 3 3 8 0 ( 0 8 3 9 4 5 1 ) + 0 0 0 0 6 6 6 1 #### 0 8 3 9 0 2 8 1 733 | 5 0 3 1 * 4 0 8 2||0 2 2 5 0 + 0 0 0 0 0 0 ( 0 2 2 5 0 0 ) + 0 0 0 4 4 0 1 ( 0 2 2 9 4 0 1 ) + 0 0 0 0 1 6 2 0 #### 0 2 2 9 5 6 3 0 734 | 8 3 4 5 * 5 7 4 1||0 9 1 7 2 + 0 6 6 0 8 3 ( 0 5 8 7 0 4 ) + 0 0 2 5 7 1 2 ( 0 5 0 3 8 5 2 ) + 0 0 0 8 3 4 5 0 #### 0 5 0 1 2 0 8 0 735 | 6 7 0 4 * 2 1 1 4||2 5 1 8 0 + 0 6 7 0 4 0 ( 2 1 9 8 4 0 ) + 0 0 6 7 0 4 0 ( 2 1 5 6 5 4 0 ) + 0 0 0 4 0 3 6 1 #### 2 1 5 0 6 7 6 1 736 | 3 4 5 9 * 6 0 1 7||8 5 2 7 5 + 0 0 0 0 0 0 ( 8 5 2 7 5 0 ) + 0 0 3 4 5 9 0 ( 8 5 5 1 1 0 1 ) + 0 0 0 1 0 8 6 6 #### 8 5 5 2 1 8 7 6 737 | 0 9 6 2 * 7 0 6 8||0 3 8 8 1 + 0 0 0 0 0 0 ( 0 3 8 8 1 0 ) + 0 0 0 4 1 6 1 ( 0 3 8 2 3 6 1 ) + 0 0 0 0 2 5 1 2 #### 0 3 8 2 5 1 3 2 738 | 6 1 0 4 * 3 4 7 3||8 4 0 2 1 + 0 4 6 0 6 1 ( 8 8 6 2 7 1 ) + 0 0 2 1 1 8 2 ( 8 8 8 3 8 9 2 ) + 0 0 0 8 4 0 2 1 #### 8 8 8 1 3 0 5 1 739 | 4 6 5 3 * 7 7 7 8||8 4 9 4 2 + 0 8 4 9 4 2 ( 8 2 4 4 7 2 ) + 0 0 8 4 9 4 2 ( 8 2 2 9 6 7 2 ) + 0 0 0 2 1 5 8 2 #### 8 2 2 1 8 2 1 3 740 | 1 8 7 4 * 7 5 5 8||7 6 4 3 3 + 0 5 0 9 3 2 ( 7 1 5 2 7 2 ) + 0 0 5 0 9 3 2 ( 7 1 0 3 6 6 2 ) + 0 0 0 8 4 2 8 3 #### 7 1 0 1 1 9 0 4 741 | 9 9 8 8 * 1 8 0 7||9 9 8 8 0 + 0 2 9 1 1 7 ( 9 1 8 0 2 7 ) + 0 0 0 0 0 0 0 ( 9 1 8 0 2 7 0 ) + 0 0 0 3 9 2 2 6 #### 9 1 8 3 1 0 3 6 742 | 5 1 8 8 * 5 2 1 9||5 7 0 4 4 + 0 0 3 6 7 1 ( 5 7 3 0 2 2 ) + 0 0 5 1 8 8 0 ( 5 7 8 1 0 1 1 ) + 0 0 0 5 3 3 9 7 #### 5 7 8 6 3 4 0 8 743 | 6 4 9 3 * 7 0 4 8||2 2 6 7 2 + 0 0 0 0 0 0 ( 2 2 6 7 2 0 ) + 0 0 4 8 7 5 1 ( 2 2 0 6 0 6 1 ) + 0 0 0 8 6 5 1 3 #### 2 2 0 4 7 1 3 3 744 | 7 0 9 1 * 4 3 7 2||8 2 6 7 0 + 0 1 2 7 5 0 ( 8 3 8 4 6 0 ) + 0 0 9 4 3 3 1 ( 8 3 7 9 9 3 1 ) + 0 0 0 4 1 8 3 0 #### 8 3 7 3 1 2 5 0 745 | 6 8 8 8 * 7 4 8 8||2 0 2 2 6 + 0 4 4 5 5 3 ( 2 4 6 7 1 4 ) + 0 0 8 8 0 1 7 ( 2 4 4 6 2 5 7 ) + 0 0 0 8 8 0 1 7 #### 2 4 4 4 1 6 8 7 746 | 7 9 9 8 * 3 0 8 2||1 9 9 6 2 + 0 0 0 0 0 0 ( 1 9 9 6 2 0 ) + 0 0 6 7 9 1 7 ( 1 9 5 4 2 2 7 ) + 0 0 0 4 9 9 7 1 #### 1 9 5 8 1 2 5 2 747 | 0 0 7 2 * 7 4 1 1||0 0 9 8 1 + 0 0 0 8 0 1 ( 0 0 9 6 2 1 ) + 0 0 0 0 7 2 0 ( 0 0 9 6 9 3 0 ) + 0 0 0 0 0 7 2 0 #### 0 0 9 6 9 0 3 0 748 | 7 3 6 7 * 4 7 7 4||8 4 5 0 3 + 0 9 5 4 3 5 ( 8 3 1 5 6 5 ) + 0 0 9 5 4 3 5 ( 8 3 0 1 1 9 5 ) + 0 0 0 8 4 5 0 3 #### 8 3 0 9 5 4 6 3 749 | 2 4 1 5 * 6 1 6 1||2 5 8 0 3 + 0 2 4 1 5 0 ( 2 7 2 2 8 0 ) + 0 0 2 5 8 0 3 ( 2 7 4 7 6 1 3 ) + 0 0 0 2 4 1 5 0 #### 2 7 4 9 0 3 8 0 750 | 8 7 6 4 * 0 2 1 8||0 0 0 0 0 + 0 6 5 3 9 0 ( 0 6 5 3 9 0 ) + 0 0 8 7 6 4 0 ( 0 6 3 1 6 5 0 ) + 0 0 0 4 2 4 7 3 #### 0 6 3 5 8 9 7 3 751 | 9 4 4 8 * 7 1 4 8||3 4 1 9 5 + 0 9 4 4 8 0 ( 3 3 6 3 4 1 ) + 0 0 6 9 7 3 3 ( 3 3 2 3 2 5 3 ) + 0 0 0 2 9 5 7 6 #### 3 3 2 5 1 1 1 7 752 | 0 2 6 5 * 8 8 8 3||0 6 9 4 4 + 0 0 6 9 4 4 ( 0 6 5 4 9 4 ) + 0 0 0 6 9 4 4 ( 0 6 5 0 9 9 4 ) + 0 0 0 0 6 8 6 1 #### 0 6 5 0 5 8 1 2 753 | 2 3 9 7 * 6 2 3 8||2 9 5 7 4 + 0 4 6 8 5 1 ( 2 3 2 6 0 2 ) + 0 0 6 9 7 3 2 ( 2 3 8 5 8 5 2 ) + 0 0 0 6 5 4 3 6 #### 2 3 8 1 4 0 6 6 754 | 5 7 9 8 * 4 8 2 3||0 0 9 5 3 + 0 0 0 8 1 7 ( 0 0 9 3 5 7 ) + 0 0 0 5 9 7 1 ( 0 0 9 8 4 5 2 ) + 0 0 0 5 2 9 6 2 #### 0 0 9 3 7 4 9 2 755 | 6 6 5 1 * 7 3 9 2||2 6 9 0 1 + 0 8 9 6 4 0 ( 2 4 9 7 5 0 ) + 0 0 4 9 0 4 1 ( 2 4 3 7 6 4 1 ) + 0 0 0 2 3 1 3 0 #### 2 4 3 9 9 5 4 0 756 | 3 3 2 4 * 2 8 8 5||6 6 4 8 0 + 0 4 6 8 3 3 ( 6 0 1 7 4 3 ) + 0 0 4 6 8 3 3 ( 6 0 5 3 3 7 3 ) + 0 0 0 5 6 1 1 2 #### 6 0 5 8 9 8 4 2 757 | 3 4 2 9 * 0 8 5 5||0 0 0 0 0 + 0 4 4 9 3 7 ( 0 4 4 9 3 7 ) + 0 0 5 1 2 6 4 ( 0 4 9 0 6 3 5 ) + 0 0 0 5 1 2 6 4 #### 0 4 9 5 7 5 1 5 758 | 9 9 9 3 * 4 1 2 8||6 9 9 5 1 + 0 9 9 9 3 0 ( 6 8 9 5 5 0 ) + 0 0 8 9 9 7 0 ( 6 8 7 5 5 8 0 ) + 0 0 0 2 9 9 1 3 #### 6 8 7 7 4 8 2 3 759 | 3 4 4 2 * 9 0 9 5||7 8 9 1 2 + 0 0 0 0 0 0 ( 7 8 9 1 2 0 ) + 0 0 7 8 9 1 2 ( 7 8 6 0 2 2 2 ) + 0 0 0 5 1 2 2 1 #### 7 8 6 5 3 4 4 1 760 | 5 3 0 4 * 0 6 8 6||0 0 0 0 0 + 0 0 1 2 4 2 ( 0 0 1 2 4 2 ) + 0 0 0 8 2 2 3 ( 0 0 1 0 7 4 3 ) + 0 0 0 0 1 2 4 2 #### 0 0 1 0 8 6 7 2 761 | 4 3 2 5 * 0 5 5 6||0 0 0 0 0 + 0 0 7 1 6 2 ( 0 0 7 1 6 2 ) + 0 0 0 7 1 6 2 ( 0 0 7 8 7 8 2 ) + 0 0 0 4 0 4 1 3 #### 0 0 7 2 8 2 4 3 762 | 5 7 0 8 * 6 4 3 8||0 5 4 8 4 + 0 0 0 3 2 3 ( 0 5 4 1 7 3 ) + 0 0 5 2 2 4 2 ( 0 5 9 3 9 7 2 ) + 0 0 0 0 0 6 4 6 #### 0 5 9 3 9 3 7 6 763 | 9 0 0 1 * 9 6 2 4||1 8 0 9 0 + 0 4 5 0 6 0 ( 1 2 6 9 6 0 ) + 0 0 8 1 0 2 0 ( 1 2 4 1 7 2 0 ) + 0 0 0 6 3 0 4 0 #### 1 2 4 7 0 3 4 0 764 | 4 5 2 7 * 4 8 6 6||6 1 0 9 2 + 0 2 3 0 8 5 ( 6 3 3 9 0 6 ) + 0 0 4 2 5 3 4 ( 6 3 7 1 6 9 4 ) + 0 0 0 4 2 5 3 4 #### 6 3 7 5 8 4 8 4 765 | 6 4 8 1 * 5 4 0 4||0 3 2 9 0 + 0 4 8 3 7 0 ( 0 7 0 3 8 0 ) + 0 0 0 0 0 0 0 ( 0 7 0 3 8 0 0 ) + 0 0 0 4 8 3 7 0 #### 0 7 0 7 6 4 7 0 766 | 7 6 7 5 * 5 2 1 9||5 3 8 8 2 + 0 4 3 5 1 1 ( 5 7 1 4 4 1 ) + 0 0 7 6 7 5 0 ( 5 7 8 0 2 7 0 ) + 0 0 0 3 0 9 1 5 #### 5 7 8 3 2 6 2 5 767 | 4 1 9 4 * 5 8 5 6||0 7 5 4 2 + 0 2 1 3 9 3 ( 0 9 6 7 1 4 ) + 0 0 0 7 5 4 2 ( 0 9 6 4 7 8 2 ) + 0 0 0 4 8 4 9 2 #### 0 9 6 8 5 3 2 3 768 | 0 4 5 7 * 1 3 4 8||0 4 5 7 0 + 0 0 2 6 2 2 ( 0 4 7 3 3 2 ) + 0 0 0 6 1 0 3 ( 0 4 7 9 4 2 3 ) + 0 0 0 0 2 3 0 6 #### 0 4 7 9 6 5 3 6 769 | 6 7 1 4 * 0 9 1 5||0 0 0 0 0 + 0 4 8 5 7 3 ( 0 4 8 5 7 3 ) + 0 0 6 7 1 4 0 ( 0 4 4 3 9 7 0 ) + 0 0 0 0 8 8 0 2 #### 0 4 4 3 7 6 1 2 770 | 1 9 8 3 * 2 3 5 9||2 8 7 7 0 + 0 3 7 6 1 1 ( 2 1 5 4 2 1 ) + 0 0 5 5 4 9 1 ( 2 1 0 0 7 0 2 ) + 0 0 0 9 1 0 5 3 #### 2 1 0 9 8 0 7 3 771 | 3 9 6 4 * 4 7 1 9||2 7 7 8 1 + 0 1 5 8 2 3 ( 2 8 2 7 4 3 ) + 0 0 3 9 6 4 0 ( 2 8 5 6 1 8 0 ) + 0 0 0 7 3 2 2 4 #### 2 8 5 3 5 0 3 4 772 | 1 0 7 8 * 2 0 8 2||2 0 4 7 1 + 0 0 0 0 0 0 ( 2 0 4 7 1 0 ) + 0 0 8 0 6 9 6 ( 2 0 2 8 7 9 6 ) + 0 0 0 2 0 4 7 1 #### 2 0 2 0 8 3 4 2 773 | 9 0 3 8 * 7 0 5 8||3 6 1 8 5 + 0 0 0 0 0 0 ( 3 6 1 8 5 0 ) + 0 0 5 4 5 1 4 ( 3 6 6 2 1 2 4 ) + 0 0 0 2 7 4 6 6 #### 3 6 6 4 8 6 0 7 774 | 0 6 9 4 * 2 9 0 7||0 2 9 9 0 + 0 0 4 6 4 4 ( 0 2 3 6 5 4 ) + 0 0 0 0 0 0 0 ( 0 2 3 6 5 4 0 ) + 0 0 0 0 2 7 4 3 #### 0 2 3 6 7 1 5 3 775 | 0 1 6 1 * 6 0 4 2||0 6 6 9 0 + 0 0 0 0 0 0 ( 0 6 6 9 0 0 ) + 0 0 0 4 4 6 0 ( 0 6 6 3 5 6 0 ) + 0 0 0 0 2 2 3 0 #### 0 6 6 3 7 8 3 0 776 | 6 1 8 4 * 2 9 1 2||2 3 6 9 0 + 0 4 4 3 3 4 ( 2 7 0 3 4 4 ) + 0 0 6 1 8 4 0 ( 2 7 6 4 2 9 0 ) + 0 0 0 2 3 6 9 0 #### 2 7 6 6 5 5 0 1 777 | 1 0 1 3 * 6 3 5 3||6 0 6 8 1 + 0 3 0 3 9 0 ( 6 3 6 1 1 1 ) + 0 0 5 0 5 5 1 ( 6 3 1 2 6 6 1 ) + 0 0 0 3 0 3 9 0 #### 6 3 1 5 6 9 0 1 778 | 8 0 6 6 * 2 9 2 9||6 1 2 3 1 + 0 2 7 4 9 5 ( 6 3 9 7 0 6 ) + 0 0 6 1 2 3 1 ( 6 3 5 9 2 9 1 ) + 0 0 0 2 7 4 9 5 #### 6 3 5 1 0 4 1 6 779 | 6 5 8 5 * 6 6 4 1||6 3 1 5 3 + 0 6 3 1 5 3 ( 6 9 4 6 8 3 ) + 0 0 4 2 4 3 2 ( 6 9 8 8 2 7 2 ) + 0 0 0 6 5 8 5 0 #### 6 9 8 4 8 5 8 0 780 | 1 2 7 1 * 4 1 3 9||4 8 8 6 0 + 0 1 2 7 1 0 ( 4 9 0 4 2 0 ) + 0 0 3 6 1 5 0 ( 4 9 3 0 4 5 0 ) + 0 0 0 9 8 4 5 1 #### 4 9 3 9 2 0 6 1 781 | 4 3 4 3 * 8 2 5 6||2 7 4 7 2 + 0 8 6 8 6 0 ( 2 5 1 6 9 0 ) + 0 0 0 7 1 7 1 ( 2 5 1 3 1 8 1 ) + 0 0 0 4 0 6 0 2 #### 2 5 1 7 1 4 2 2 782 | 7 7 4 2 * 6 5 4 9||2 6 8 4 1 + 0 5 8 3 2 1 ( 2 1 7 8 3 1 ) + 0 0 8 0 9 9 0 ( 2 1 5 9 2 1 1 ) + 0 0 0 3 9 2 2 2 #### 2 1 5 2 2 4 3 2 783 | 2 6 2 4 * 6 3 3 1||2 7 5 5 2 + 0 6 8 7 2 1 ( 2 3 4 3 5 1 ) + 0 0 6 8 7 2 1 ( 2 3 0 2 3 4 1 ) + 0 0 0 2 6 2 4 0 #### 2 3 0 4 9 6 5 0 784 | 2 2 3 7 * 8 3 5 6||6 7 5 8 5 + 0 6 6 9 1 2 ( 6 3 2 8 7 2 ) + 0 0 0 1 6 6 3 ( 6 3 2 9 3 9 3 ) + 0 0 0 2 3 9 3 4 #### 6 3 2 1 7 8 7 4 785 | 2 9 9 6 * 5 8 1 4||0 6 9 4 3 + 0 6 3 9 5 5 ( 0 2 3 4 9 5 ) + 0 0 2 9 9 6 0 ( 0 2 5 3 9 2 1 ) + 0 0 0 8 6 9 7 2 #### 0 2 5 1 6 2 9 2 786 | 3 2 6 8 * 6 0 5 8||8 3 7 1 5 + 0 0 0 0 0 0 ( 8 3 7 1 5 0 ) + 0 0 5 1 1 3 4 ( 8 3 2 3 6 3 4 ) + 0 0 0 4 8 9 8 6 #### 8 3 2 7 4 3 3 7 787 | 2 8 5 2 * 2 7 8 7||4 6 1 5 0 + 0 4 7 0 8 1 ( 4 0 9 5 8 1 ) + 0 0 6 5 6 0 2 ( 4 0 5 1 5 2 2 ) + 0 0 0 4 7 0 8 1 #### 4 0 5 5 2 3 0 2 788 | 2 8 4 5 * 0 8 0 7||0 0 0 0 0 + 0 6 5 8 3 4 ( 0 6 5 8 3 4 ) + 0 0 0 0 0 0 0 ( 0 6 5 8 3 4 0 ) + 0 0 0 4 7 3 8 3 #### 0 6 5 2 1 8 8 3 789 | 1 3 1 4 * 3 0 2 3||3 9 3 2 1 + 0 0 0 0 0 0 ( 3 9 3 2 1 0 ) + 0 0 2 6 2 8 0 ( 3 9 5 8 3 8 0 ) + 0 0 0 3 9 3 2 1 #### 3 9 5 1 3 2 3 1 790 | 6 1 9 3 * 1 4 2 2||6 1 9 3 0 + 0 4 6 6 5 1 ( 6 5 5 0 6 1 ) + 0 0 2 3 8 7 0 ( 6 5 7 3 4 9 0 ) + 0 0 0 2 3 8 7 0 #### 6 5 7 5 7 7 8 0 791 | 7 1 4 4 * 8 4 6 5||6 3 3 5 3 + 0 8 6 6 7 1 ( 6 1 0 2 1 2 ) + 0 0 2 0 5 6 2 ( 6 1 2 2 6 8 2 ) + 0 0 0 5 8 0 2 2 #### 6 1 2 7 4 9 4 2 792 | 5 3 8 8 * 3 7 6 8||5 0 5 6 2 + 0 5 4 8 1 6 ( 5 5 9 4 4 6 ) + 0 0 0 1 0 3 5 ( 5 5 9 5 4 9 5 ) + 0 0 0 0 8 6 0 7 #### 5 5 9 5 2 6 6 7 793 | 9 4 5 9 * 0 8 3 8||0 0 0 0 0 + 0 2 9 3 6 7 ( 0 2 9 3 6 7 ) + 0 0 7 4 6 8 2 ( 0 2 6 8 2 6 3 ) + 0 0 0 2 9 3 6 7 #### 0 2 6 0 2 0 0 8 794 | 0 0 3 6 * 9 8 6 2||0 0 7 6 5 + 0 0 0 4 0 5 ( 0 0 7 0 6 5 ) + 0 0 0 0 8 7 3 ( 0 0 7 0 4 3 4 ) + 0 0 0 0 0 6 2 1 #### 0 0 7 0 4 9 6 1 795 | 7 2 8 1 * 3 7 8 6||1 8 4 5 0 + 0 9 8 7 2 1 ( 1 7 3 3 3 1 ) + 0 0 6 1 6 4 1 ( 1 7 9 4 9 5 1 ) + 0 0 0 2 6 9 0 1 #### 1 7 9 6 5 5 2 1 796 | 8 7 1 1 * 3 6 8 9||4 3 5 3 0 + 0 8 6 0 7 0 ( 4 1 2 4 7 0 ) + 0 0 4 2 4 9 0 ( 4 1 6 6 1 0 1 ) + 0 0 0 2 0 6 0 1 #### 4 1 6 8 1 6 1 1 797 | 4 4 1 4 * 6 6 4 4||4 6 8 4 2 + 0 4 6 8 4 2 ( 4 0 5 3 7 2 ) + 0 0 6 7 5 6 1 ( 4 0 1 1 3 9 1 ) + 0 0 0 6 7 5 6 1 #### 4 0 1 7 0 5 8 1 798 | 4 8 5 3 * 7 7 1 8||8 8 0 5 2 + 0 8 8 0 5 2 ( 8 6 9 5 7 2 ) + 0 0 4 8 5 3 0 ( 8 6 3 4 3 6 0 ) + 0 0 0 2 7 6 8 2 #### 8 6 3 6 0 3 9 2 799 | 5 6 3 7 * 8 1 0 4||0 2 9 8 5 + 0 5 6 3 7 0 ( 0 7 5 2 3 1 ) + 0 0 0 0 0 0 0 ( 0 7 5 2 3 1 0 ) + 0 0 0 0 6 4 9 2 #### 0 7 5 2 9 5 9 2 800 | 2 2 4 8 * 1 2 6 7||2 2 4 8 0 + 0 4 4 8 6 1 ( 2 6 8 6 7 1 ) + 0 0 2 3 5 0 5 ( 2 6 0 0 3 2 5 ) + 0 0 0 4 5 9 8 5 #### 2 6 0 4 8 1 4 6 801 | 7 3 0 1 * 1 0 1 4||7 3 0 1 0 + 0 0 0 0 0 0 ( 7 3 0 1 0 0 ) + 0 0 7 3 0 1 0 ( 7 3 7 4 0 1 0 ) + 0 0 0 8 4 1 4 0 #### 7 3 7 2 5 2 4 0 802 | 4 6 5 3 * 4 5 9 9||6 5 2 4 1 + 0 0 2 8 7 1 ( 6 5 4 2 9 1 ) + 0 0 6 7 0 2 3 ( 6 5 0 0 0 4 3 ) + 0 0 0 6 7 0 2 3 #### 6 5 0 6 7 4 5 3 803 | 7 9 7 3 * 5 9 3 6||5 8 9 8 1 + 0 3 7 1 4 3 ( 5 1 7 0 6 3 ) + 0 0 1 9 3 1 1 ( 5 1 8 9 9 4 1 ) + 0 0 0 2 8 7 2 2 #### 5 1 8 1 8 2 4 2 804 | 2 9 2 8 * 1 2 3 3||2 9 2 8 0 + 0 4 8 5 6 1 ( 2 3 1 4 7 1 ) + 0 0 6 7 8 4 2 ( 2 3 7 1 6 6 2 ) + 0 0 0 6 7 8 4 2 #### 2 3 7 7 3 5 7 2 805 | 7 3 2 2 * 3 3 5 7||1 1 7 6 0 + 0 1 1 7 6 0 ( 1 2 8 3 7 0 ) + 0 0 5 8 1 1 1 ( 1 2 3 2 9 1 1 ) + 0 0 0 9 5 6 5 1 #### 1 2 3 1 5 8 6 1 806 | 5 6 9 4 * 0 7 8 5||0 0 0 0 0 + 0 5 5 7 4 3 ( 0 5 5 7 4 3 ) + 0 0 0 2 7 9 3 ( 0 5 5 9 1 3 4 ) + 0 0 0 5 2 8 4 2 #### 0 5 5 4 4 1 9 2 807 | 6 1 0 2 * 3 2 0 2||8 4 0 6 0 + 0 2 3 0 4 0 ( 8 6 3 6 4 0 ) + 0 0 0 0 0 0 0 ( 8 6 3 6 4 0 0 ) + 0 0 0 2 3 0 4 0 #### 8 6 3 8 7 0 4 0 808 | 7 3 6 1 * 9 9 4 3||3 3 7 4 1 + 0 3 3 7 4 1 ( 3 6 0 2 6 1 ) + 0 0 8 4 5 6 0 ( 3 6 8 6 1 8 0 ) + 0 0 0 1 1 9 4 0 #### 3 6 8 7 2 7 5 0 809 | 1 1 8 2 * 4 6 2 2||4 4 2 1 1 + 0 6 6 8 6 1 ( 4 0 9 9 7 1 ) + 0 0 2 2 6 5 0 ( 4 0 1 2 4 7 0 ) + 0 0 0 2 2 6 5 0 #### 4 0 1 4 6 3 6 0 810 | 0 1 2 1 * 4 3 6 3||0 4 8 4 0 + 0 0 3 6 3 0 ( 0 4 1 1 4 0 ) + 0 0 0 6 2 7 0 ( 0 4 1 7 6 7 0 ) + 0 0 0 0 3 6 3 0 #### 0 4 1 7 9 3 4 0 811 | 7 0 3 4 * 5 6 6 9||5 3 5 1 2 + 0 2 4 8 5 2 ( 5 5 9 9 7 2 ) + 0 0 2 4 8 5 2 ( 5 5 1 4 6 8 2 ) + 0 0 0 3 6 7 8 3 #### 5 5 1 7 2 6 1 4 812 | 8 9 7 7 * 8 7 1 4||4 8 3 2 6 + 0 6 8 5 4 5 ( 4 4 2 8 0 6 ) + 0 0 8 9 7 7 0 ( 4 4 0 8 8 3 1 ) + 0 0 0 2 9 1 1 3 #### 4 4 0 0 8 5 2 3 813 | 3 2 8 8 * 6 4 2 3||8 3 9 2 5 + 0 2 9 2 5 3 ( 8 5 8 5 0 4 ) + 0 0 6 4 6 7 1 ( 8 5 4 0 7 1 2 ) + 0 0 0 9 6 4 6 2 #### 8 5 4 9 3 6 8 2 814 | 0 4 8 4 * 4 0 1 8||0 6 3 9 1 + 0 0 0 0 0 0 ( 0 6 3 9 1 0 ) + 0 0 0 4 8 4 0 ( 0 6 3 3 0 5 0 ) + 0 0 0 0 2 7 8 3 #### 0 6 3 3 2 2 9 3 815 | 7 4 6 8 * 5 2 4 8||5 3 2 3 4 + 0 4 9 2 7 1 ( 5 7 1 6 1 2 ) + 0 0 8 8 5 4 3 ( 5 7 9 4 7 6 3 ) + 0 0 0 6 7 1 9 6 #### 5 7 9 0 5 8 2 7 816 | 3 3 0 5 * 6 2 0 1||8 9 1 0 3 + 0 6 6 0 0 1 ( 8 5 8 0 3 1 ) + 0 0 0 0 0 0 0 ( 8 5 8 0 3 1 0 ) + 0 0 0 3 3 0 5 0 #### 8 5 8 3 6 1 5 0 817 | 5 9 2 4 * 4 4 0 6||0 8 1 7 1 + 0 0 8 1 7 1 ( 0 8 9 8 8 1 ) + 0 0 0 0 0 0 0 ( 0 8 9 8 8 1 0 ) + 0 0 0 0 7 7 5 2 #### 0 8 9 8 5 9 5 2 818 | 3 2 7 9 * 4 6 1 3||2 9 8 8 3 + 0 8 3 3 8 5 ( 2 7 2 2 2 6 ) + 0 0 3 2 7 9 0 ( 2 7 5 4 9 5 1 ) + 0 0 0 9 6 1 9 2 #### 2 7 5 3 6 7 0 3 819 | 3 5 5 9 * 3 0 4 5||9 5 6 8 2 + 0 0 0 0 0 0 ( 9 5 6 8 2 0 ) + 0 0 2 1 2 8 3 ( 9 5 8 9 4 8 3 ) + 0 0 0 5 6 7 7 4 #### 9 5 8 4 1 6 1 5 820 | 0 0 6 8 * 6 5 9 9||0 0 6 1 5 + 0 0 0 0 3 4 ( 0 0 6 1 8 4 ) + 0 0 0 0 4 7 7 ( 0 0 6 1 2 2 8 ) + 0 0 0 0 0 4 7 7 #### 0 0 6 1 2 6 5 8 821 | 3 7 4 8 * 1 4 0 5||3 7 4 8 0 + 0 2 9 8 3 3 ( 3 9 3 7 4 3 ) + 0 0 0 0 0 0 0 ( 3 9 3 7 4 3 0 ) + 0 0 0 5 6 3 2 4 #### 3 9 3 2 1 7 2 4 822 | 7 6 6 1 * 4 6 4 7||8 6 6 6 0 + 0 2 0 0 0 1 ( 8 8 6 6 0 1 ) + 0 0 8 6 6 6 0 ( 8 8 4 3 7 7 0 ) + 0 0 0 9 6 6 1 1 #### 8 8 4 2 4 4 2 1 823 | 2 1 9 1 * 7 4 9 1||4 8 3 3 1 + 0 8 4 6 7 0 ( 4 6 8 9 8 0 ) + 0 0 8 0 2 7 1 ( 4 6 6 0 1 8 1 ) + 0 0 0 2 1 9 1 0 #### 4 6 6 2 2 7 3 0 824 | 7 4 5 7 * 4 1 4 8||8 8 1 0 3 + 0 7 4 5 7 0 ( 8 5 6 5 0 1 ) + 0 0 8 8 1 0 3 ( 8 5 4 4 2 1 3 ) + 0 0 0 6 7 3 0 6 #### 8 5 4 0 0 5 3 6 825 | 7 8 0 8 * 9 4 4 5||3 8 7 2 7 + 0 8 4 3 2 3 ( 3 6 2 6 9 3 ) + 0 0 8 4 3 2 3 ( 3 6 0 1 3 6 3 ) + 0 0 0 5 3 4 0 4 #### 3 6 0 6 6 0 4 4 826 | 9 9 1 7 * 6 7 3 7||4 9 1 3 4 + 0 3 9 3 0 5 ( 4 2 1 7 4 5 ) + 0 0 7 9 5 1 2 ( 4 2 8 6 0 7 2 ) + 0 0 0 3 9 3 0 5 #### 4 2 8 9 9 0 3 5 827 | 7 7 5 9 * 2 6 0 2||4 5 1 9 1 + 0 2 6 4 7 5 ( 4 7 7 3 9 5 ) + 0 0 0 0 0 0 0 ( 4 7 7 3 9 5 0 ) + 0 0 0 4 5 1 9 1 #### 4 7 7 7 4 7 9 1 828 | 2 0 0 1 * 9 1 8 6||8 1 0 9 0 + 0 2 0 0 1 0 ( 8 3 0 9 1 0 ) + 0 0 6 1 0 8 0 ( 8 3 6 0 2 8 0 ) + 0 0 0 2 1 0 6 0 #### 8 3 6 2 3 8 6 0 829 | 5 3 8 5 * 8 4 7 7||0 8 6 6 4 + 0 0 4 3 3 2 ( 0 8 0 0 8 2 ) + 0 0 5 4 8 0 4 ( 0 8 5 4 6 3 4 ) + 0 0 0 5 4 8 0 4 #### 0 8 5 9 0 2 5 4 830 | 8 7 2 4 * 3 3 4 1||4 3 8 2 1 + 0 4 3 8 2 1 ( 4 7 1 1 4 1 ) + 0 0 2 1 1 7 1 ( 4 7 3 2 5 8 1 ) + 0 0 0 8 7 2 4 0 #### 4 7 3 0 3 1 6 0 831 | 1 9 8 7 * 6 3 7 1||6 4 3 7 4 + 0 3 7 6 3 2 ( 6 7 0 4 8 2 ) + 0 0 7 3 2 5 5 ( 6 7 7 7 0 8 5 ) + 0 0 0 1 9 8 7 0 #### 6 7 7 8 9 6 3 1 832 | 9 8 1 9 * 6 1 8 7||4 3 1 5 5 + 0 9 8 1 9 0 ( 4 2 0 7 4 1 ) + 0 0 2 1 5 3 7 ( 4 2 2 8 9 4 7 ) + 0 0 0 3 2 3 4 6 #### 4 2 2 1 2 8 1 7 833 | 8 6 9 1 * 4 5 3 3||2 7 8 7 0 + 0 0 4 8 9 0 ( 2 7 2 6 0 1 ) + 0 0 4 0 9 5 0 ( 2 7 6 6 9 6 0 ) + 0 0 0 4 0 9 5 0 #### 2 7 6 0 0 6 6 0 834 | 2 4 0 2 * 7 7 7 4||4 9 2 4 1 + 0 4 9 2 4 1 ( 4 3 2 7 5 1 ) + 0 0 4 9 2 4 1 ( 4 3 6 6 8 5 1 ) + 0 0 0 8 6 1 8 0 #### 4 3 6 4 5 7 9 0 835 | 0 3 8 1 * 9 3 7 8||0 7 4 6 1 + 0 0 9 4 5 0 ( 0 7 3 1 7 0 ) + 0 0 0 1 8 2 1 ( 0 7 3 2 5 3 1 ) + 0 0 0 0 4 6 4 1 #### 0 7 3 2 9 9 5 1 836 | 6 4 7 2 * 6 3 4 4||6 7 4 6 1 + 0 8 3 2 8 0 ( 6 5 8 8 9 0 ) + 0 0 4 8 9 0 1 ( 6 5 2 7 9 1 1 ) + 0 0 0 4 8 9 0 1 #### 6 5 2 1 8 1 2 1 837 | 3 2 1 7 * 5 7 5 3||5 1 6 5 3 + 0 1 6 8 9 4 ( 5 2 2 4 3 5 ) + 0 0 5 1 6 5 3 ( 5 2 7 5 9 0 4 ) + 0 0 0 9 6 3 1 2 #### 5 2 7 4 6 4 5 2 838 | 4 5 9 9 * 5 9 5 9||0 7 7 9 4 + 0 6 8 5 9 8 ( 0 3 6 5 4 9 ) + 0 0 0 7 7 9 4 ( 0 3 6 2 2 9 5 ) + 0 0 0 6 8 5 9 8 #### 0 3 6 8 0 5 5 9 839 | 8 3 7 1 * 0 2 3 6||0 0 0 0 0 + 0 6 7 4 3 0 ( 0 6 7 4 3 0 ) + 0 0 4 1 2 5 0 ( 0 6 1 6 5 5 0 ) + 0 0 0 8 2 4 0 1 #### 0 6 1 4 8 9 0 1 840 | 5 0 2 2 * 3 2 0 7||5 1 6 6 0 + 0 0 1 4 4 0 ( 5 1 7 0 5 0 ) + 0 0 0 0 0 0 0 ( 5 1 7 0 5 0 0 ) + 0 0 0 5 3 4 5 1 #### 5 1 7 5 8 4 5 1 841 | 5 4 3 1 * 3 7 1 1||5 3 0 4 0 + 0 5 1 4 9 0 ( 5 8 1 8 9 0 ) + 0 0 5 4 3 1 0 ( 5 8 6 2 3 2 0 ) + 0 0 0 5 4 3 1 0 #### 5 8 6 7 7 5 1 0 842 | 1 2 8 5 * 0 9 8 7||0 0 0 0 0 + 0 9 8 3 2 5 ( 0 9 8 3 2 5 ) + 0 0 8 6 5 6 4 ( 0 9 6 0 8 1 5 ) + 0 0 0 7 4 7 0 4 #### 0 9 6 7 2 9 5 4 843 | 3 9 5 8 * 1 7 0 7||3 9 5 8 0 + 0 1 5 1 0 6 ( 3 0 1 0 1 6 ) + 0 0 0 0 0 0 0 ( 3 0 1 0 1 6 0 ) + 0 0 0 1 5 1 0 6 #### 3 0 1 1 6 7 0 6 844 | 9 1 3 4 * 9 2 8 9||1 7 8 8 3 + 0 8 3 6 8 0 ( 1 5 2 5 2 1 ) + 0 0 2 5 5 4 3 ( 1 5 4 0 8 5 3 ) + 0 0 0 1 7 8 8 3 #### 1 5 4 1 5 4 2 4 845 | 8 1 7 8 * 5 5 5 3||0 9 5 3 4 + 0 0 9 5 3 4 ( 0 9 4 9 7 4 ) + 0 0 0 9 5 3 4 ( 0 9 4 8 3 8 4 ) + 0 0 0 4 5 1 6 2 #### 0 9 4 2 9 9 0 3 846 | 8 9 2 5 * 9 6 6 7||2 8 6 7 4 + 0 8 8 7 1 3 ( 2 6 5 5 6 3 ) + 0 0 8 8 7 1 3 ( 2 6 3 4 4 5 3 ) + 0 0 0 6 8 0 7 3 #### 2 6 3 0 3 6 0 4 847 | 6 1 6 6 * 2 8 7 7||2 3 2 3 1 + 0 8 2 9 2 5 ( 2 1 5 2 4 5 ) + 0 0 2 1 3 6 4 ( 2 1 7 3 7 1 5 ) + 0 0 0 2 1 3 6 4 #### 2 1 7 5 8 4 1 5 848 | 5 5 6 9 * 9 2 9 6||5 9 8 6 8 + 0 0 1 3 9 1 ( 5 9 9 9 7 2 ) + 0 0 5 9 8 6 8 ( 5 9 4 9 6 9 8 ) + 0 0 0 0 3 9 7 5 #### 5 9 4 9 9 8 6 6 849 | 6 4 2 7 * 4 4 1 1||4 8 9 8 2 + 0 4 8 9 8 2 ( 4 2 8 8 1 3 ) + 0 0 6 4 2 7 0 ( 4 2 4 3 4 0 1 ) + 0 0 0 6 4 2 7 0 #### 4 2 4 9 8 2 8 0 850 | 5 4 1 9 * 0 1 2 2||0 0 0 0 0 + 0 5 4 1 9 0 ( 0 5 4 1 9 0 ) + 0 0 0 9 2 8 1 ( 0 5 4 0 2 9 1 ) + 0 0 0 0 9 2 8 1 #### 0 5 4 0 1 2 0 2 851 | 0 1 7 3 * 0 3 3 9||0 0 0 0 0 + 0 0 3 1 1 1 ( 0 0 3 1 1 1 ) + 0 0 0 3 1 1 1 ( 0 0 3 4 2 2 1 ) + 0 0 0 0 9 3 3 3 #### 0 0 3 4 1 6 4 3 852 | 0 9 7 9 * 2 3 7 5||0 8 5 9 1 + 0 0 7 3 9 2 ( 0 8 2 3 1 3 ) + 0 0 0 3 5 8 6 ( 0 8 2 6 6 1 7 ) + 0 0 0 0 5 9 8 4 #### 0 8 2 6 1 1 6 5 853 | 4 7 4 6 * 4 3 8 1||6 9 8 5 2 + 0 2 2 4 9 1 ( 6 1 1 0 2 2 ) + 0 0 2 9 7 1 5 ( 6 1 3 9 9 3 5 ) + 0 0 0 4 7 4 6 0 #### 6 1 3 3 7 8 1 1 854 | 4 5 1 3 * 5 2 5 3||0 7 7 5 1 + 0 8 0 3 6 0 ( 0 5 8 8 7 0 ) + 0 0 0 7 7 5 1 ( 0 5 8 5 5 6 1 ) + 0 0 0 2 6 4 9 0 #### 0 5 8 7 1 1 1 1 855 | 8 8 6 8 * 9 5 9 9||2 9 1 8 7 + 0 0 4 4 3 4 ( 2 9 5 2 1 5 ) + 0 0 2 9 1 8 7 ( 2 9 7 1 3 3 8 ) + 0 0 0 2 9 1 8 7 #### 2 9 7 3 2 5 6 8 856 | 4 1 5 8 * 3 0 1 5||2 4 5 5 2 + 0 0 0 0 0 0 ( 2 4 5 5 2 0 ) + 0 0 4 1 5 8 0 ( 2 4 9 6 7 8 0 ) + 0 0 0 0 7 5 2 4 #### 2 4 9 6 4 4 3 4 857 | 8 8 1 3 * 9 3 6 9||2 9 6 8 2 + 0 4 6 5 9 0 ( 2 3 3 4 2 1 ) + 0 0 8 2 1 9 1 ( 2 3 1 7 3 0 2 ) + 0 0 0 2 9 6 8 2 #### 2 3 1 9 2 7 0 3 858 | 5 6 5 9 * 5 9 2 1||5 2 8 7 4 + 0 5 8 0 6 8 ( 5 7 6 8 0 9 ) + 0 0 0 3 1 9 1 ( 5 7 6 1 2 8 2 ) + 0 0 0 5 6 5 9 0 #### 5 7 6 6 8 3 2 1 859 | 9 6 7 6 * 5 4 7 1||5 4 8 3 3 + 0 6 7 0 7 2 ( 5 0 6 4 0 3 ) + 0 0 3 8 3 7 4 ( 5 0 9 2 4 0 5 ) + 0 0 0 9 6 7 6 0 #### 5 0 9 1 1 8 1 1 860 | 7 0 5 3 * 7 1 0 5||9 4 5 4 2 + 0 7 0 5 3 0 ( 9 1 6 9 5 0 ) + 0 0 0 0 0 0 0 ( 9 1 6 9 5 0 0 ) + 0 0 0 5 3 5 7 1 #### 9 1 6 4 9 5 7 1 861 | 3 0 3 5 * 7 8 3 6||1 2 1 7 3 + 0 4 2 4 2 4 ( 1 6 3 1 6 4 ) + 0 0 9 0 9 5 1 ( 1 6 2 2 5 0 2 ) + 0 0 0 8 1 8 1 3 #### 1 6 2 0 7 8 3 3 862 | 5 4 2 7 * 6 7 3 6||0 7 4 3 4 + 0 5 1 7 0 5 ( 0 2 6 0 5 5 ) + 0 0 5 3 7 1 2 ( 0 2 1 4 2 7 2 ) + 0 0 0 0 7 4 3 4 #### 0 2 1 4 9 1 6 4 863 | 4 0 7 2 * 8 1 0 6||2 3 6 1 2 + 0 4 0 7 2 0 ( 2 7 6 8 4 0 ) + 0 0 0 0 0 0 0 ( 2 7 6 8 4 0 0 ) + 0 0 0 4 2 2 6 1 #### 2 7 6 2 7 2 6 1 864 | 2 4 1 3 * 6 1 5 3||2 5 8 8 1 + 0 2 4 1 3 0 ( 2 7 2 0 5 0 ) + 0 0 0 1 7 5 1 ( 2 7 2 1 2 6 1 ) + 0 0 0 6 2 4 9 0 #### 2 7 2 7 4 0 1 1 865 | 2 4 6 3 * 4 6 3 6||8 6 5 4 1 + 0 2 5 8 1 2 ( 8 8 0 3 3 2 ) + 0 0 6 2 9 0 1 ( 8 8 6 5 2 3 1 ) + 0 0 0 2 5 8 1 2 #### 8 8 6 7 7 1 3 2 866 | 8 5 4 6 * 6 5 9 9||8 4 7 8 3 + 0 0 9 2 2 3 ( 8 4 6 1 6 3 ) + 0 0 2 2 1 8 5 ( 8 4 8 3 7 1 6 ) + 0 0 0 2 2 1 8 5 #### 8 4 8 5 9 2 4 6 867 | 4 4 1 4 * 2 9 4 5||8 8 2 8 0 + 0 6 9 2 7 3 ( 8 4 2 1 8 3 ) + 0 0 6 7 5 6 1 ( 8 4 8 8 3 0 2 ) + 0 0 0 0 2 7 0 2 #### 8 4 8 8 5 7 2 2 868 | 9 8 0 7 * 3 8 5 2||7 6 2 1 2 + 0 2 1 7 6 5 ( 7 8 3 8 8 5 ) + 0 0 5 4 4 5 3 ( 7 8 8 2 3 1 4 ) + 0 0 0 8 7 1 4 1 #### 7 8 8 0 1 3 8 1 869 | 8 5 1 3 * 5 4 0 8||0 9 7 5 1 + 0 2 3 6 2 1 ( 0 1 1 2 4 1 ) + 0 0 0 0 0 0 0 ( 0 1 1 2 4 1 0 ) + 0 0 0 4 6 2 5 2 #### 0 1 1 6 0 4 5 2 870 | 9 6 3 3 * 5 0 6 5||5 4 8 6 1 + 0 0 0 0 0 0 ( 5 4 8 6 1 0 ) + 0 0 4 1 2 0 2 ( 5 4 2 8 3 0 2 ) + 0 0 0 5 4 8 6 1 #### 5 4 2 3 8 8 8 1 871 | 7 6 2 4 * 3 1 3 6||1 0 8 2 1 + 0 7 6 2 4 0 ( 1 7 4 5 5 0 ) + 0 0 1 0 8 2 1 ( 1 7 5 5 3 3 1 ) + 0 0 0 2 0 6 5 2 #### 1 7 5 7 3 9 6 2 872 | 4 1 0 6 * 7 3 2 3||8 9 0 2 4 + 0 2 4 0 8 1 ( 8 1 5 2 2 2 ) + 0 0 8 2 0 2 1 ( 8 1 3 5 2 4 1 ) + 0 0 0 2 4 0 8 1 #### 8 1 3 7 6 4 9 1 873 | 0 6 6 6 * 7 3 7 3||0 2 6 6 4 + 0 0 8 9 9 1 ( 0 2 4 6 4 2 ) + 0 0 0 2 6 6 4 ( 0 2 4 8 0 9 4 ) + 0 0 0 0 8 9 9 1 #### 0 2 4 8 8 8 4 2 874 | 0 8 1 6 * 3 7 6 7||0 4 5 8 1 + 0 0 6 2 3 4 ( 0 4 1 1 5 4 ) + 0 0 0 8 0 7 3 ( 0 4 1 9 5 1 4 ) + 0 0 0 0 6 2 3 4 #### 0 4 1 9 1 4 7 4 875 | 6 1 9 1 * 7 8 9 2||2 1 4 3 1 + 0 8 2 3 5 1 ( 2 9 6 6 6 1 ) + 0 0 4 4 2 7 1 ( 2 9 0 1 9 8 1 ) + 0 0 0 2 3 8 3 0 #### 2 9 0 3 2 7 5 0 876 | 3 6 7 1 * 8 1 9 7||4 0 1 4 1 + 0 3 6 7 1 0 ( 4 3 7 1 3 0 ) + 0 0 7 6 8 5 1 ( 4 3 4 8 1 6 1 ) + 0 0 0 1 4 3 2 1 #### 4 3 4 9 5 9 3 1 877 | 4 2 8 6 * 6 5 3 1||4 4 9 0 4 + 0 0 2 1 4 3 ( 4 4 1 2 8 3 ) + 0 0 2 7 4 0 2 ( 4 4 3 9 2 4 2 ) + 0 0 0 4 2 8 6 0 #### 4 4 3 3 5 2 9 0 878 | 0 8 1 3 * 4 4 7 1||0 2 7 2 1 + 0 0 2 7 2 1 ( 0 2 9 9 3 1 ) + 0 0 0 6 2 2 2 ( 0 2 9 5 6 3 2 ) + 0 0 0 0 8 1 3 0 #### 0 2 9 5 4 5 5 0 879 | 6 4 5 2 * 2 3 0 2||2 9 0 5 0 + 0 8 3 6 7 0 ( 2 7 4 1 8 0 ) + 0 0 0 0 0 0 0 ( 2 7 4 1 8 0 0 ) + 0 0 0 2 9 0 5 0 #### 2 7 4 3 7 1 5 0 880 | 2 3 0 9 * 2 5 4 7||4 6 0 8 1 + 0 0 6 1 5 4 ( 4 6 6 9 6 4 ) + 0 0 8 2 1 6 3 ( 4 6 4 2 8 0 4 ) + 0 0 0 4 2 2 3 6 #### 4 6 4 6 0 3 7 6 881 | 7 4 9 4 * 5 3 4 7||5 3 7 4 2 + 0 1 4 8 4 1 ( 5 4 1 3 7 1 ) + 0 0 8 8 7 9 1 ( 5 4 9 1 5 1 2 ) + 0 0 0 9 2 6 4 3 #### 5 4 9 0 8 7 6 3 882 | 1 9 4 8 * 3 7 9 6||3 7 4 5 2 + 0 7 3 4 9 5 ( 3 4 8 9 1 6 ) + 0 0 9 1 4 6 7 ( 3 4 7 1 6 2 8 ) + 0 0 0 6 4 9 0 5 #### 3 4 7 7 0 2 9 5 883 | 0 4 9 7 * 4 9 6 1||0 6 7 1 3 + 0 0 6 4 1 7 ( 0 6 3 6 4 7 ) + 0 0 0 4 6 7 4 ( 0 6 3 0 1 5 5 ) + 0 0 0 0 4 9 7 0 #### 0 6 3 0 5 4 3 1 884 | 6 8 3 6 * 5 1 0 8||0 3 9 1 3 + 0 6 8 3 6 0 ( 0 9 7 5 9 0 ) + 0 0 0 0 0 0 0 ( 0 9 7 5 9 0 0 ) + 0 0 0 8 8 0 1 5 #### 0 9 7 3 8 1 1 5 885 | 9 7 2 8 * 5 9 6 5||5 9 3 1 4 + 0 1 1 5 4 7 ( 5 0 5 6 8 7 ) + 0 0 4 7 6 9 4 ( 5 0 9 3 5 7 5 ) + 0 0 0 5 9 3 1 4 #### 5 0 9 8 4 1 7 4 886 | 9 7 5 4 * 6 2 7 2||4 7 4 7 2 + 0 8 5 1 9 0 ( 4 5 0 9 1 1 ) + 0 0 3 5 0 2 3 ( 4 5 3 4 2 3 3 ) + 0 0 0 8 5 1 9 0 #### 4 5 3 2 8 4 2 1 887 | 0 6 3 3 * 8 6 9 1||0 8 8 6 2 + 0 0 6 1 0 2 ( 0 8 4 8 2 2 ) + 0 0 0 4 2 0 3 ( 0 8 4 2 5 2 3 ) + 0 0 0 0 6 3 3 0 #### 0 8 4 2 1 6 6 0 888 | 4 6 9 2 * 5 9 8 1||0 2 8 4 1 + 0 6 7 6 6 2 ( 0 8 5 1 8 2 ) + 0 0 2 1 7 3 2 ( 0 8 7 2 5 6 2 ) + 0 0 0 4 6 9 2 0 #### 0 8 7 6 1 6 5 0 889 | 9 3 1 1 * 4 9 5 8||6 5 5 4 0 + 0 1 5 2 0 1 ( 6 6 0 7 0 1 ) + 0 0 5 9 6 5 0 ( 6 6 5 6 7 6 0 ) + 0 0 0 2 1 1 9 0 #### 6 6 5 8 8 7 9 0 890 | 3 0 9 6 * 9 4 4 3||7 2 1 2 6 + 0 2 1 6 7 2 ( 7 4 2 8 3 3 ) + 0 0 2 1 6 7 2 ( 7 4 4 9 9 0 3 ) + 0 0 0 9 0 7 0 2 #### 7 4 4 8 0 8 3 2 891 | 5 8 5 2 * 9 1 8 8||5 6 2 3 2 + 0 5 8 5 2 0 ( 5 1 1 9 4 0 ) + 0 0 0 8 6 0 2 ( 5 1 1 7 1 1 2 ) + 0 0 0 0 8 6 0 2 #### 5 1 1 7 9 7 2 2 892 | 1 6 3 1 * 5 5 6 3||5 0 8 6 0 + 0 5 0 8 6 0 ( 5 5 8 4 7 0 ) + 0 0 6 6 1 8 0 ( 5 5 4 1 9 8 0 ) + 0 0 0 3 8 0 4 0 #### 5 5 4 4 7 9 4 0 893 | 7 1 4 8 * 2 1 7 6||4 3 8 6 1 + 0 7 1 4 8 0 ( 4 0 0 1 0 1 ) + 0 0 9 1 9 8 5 ( 4 0 9 2 9 9 5 ) + 0 0 0 2 0 5 0 5 #### 4 0 9 4 9 4 6 5 894 | 5 7 9 6 * 1 5 0 1||5 7 9 6 0 + 0 5 7 8 4 3 ( 5 2 7 5 5 3 ) + 0 0 0 0 0 0 0 ( 5 2 7 5 5 3 0 ) + 0 0 0 5 7 9 6 0 #### 5 2 7 0 3 3 7 0 895 | 3 4 5 2 * 9 1 5 1||7 8 8 2 2 + 0 3 4 5 2 0 ( 7 1 3 8 4 0 ) + 0 0 5 1 7 2 1 ( 7 1 8 9 1 3 1 ) + 0 0 0 3 4 5 2 0 #### 7 1 8 2 6 8 3 0 896 | 8 3 0 3 * 4 4 3 4||2 5 1 2 1 + 0 2 5 1 2 1 ( 2 7 6 3 3 1 ) + 0 0 4 1 1 9 0 ( 2 7 0 5 4 0 1 ) + 0 0 0 2 5 1 2 1 #### 2 7 0 7 9 1 3 1 897 | 4 3 2 6 * 8 9 2 4||2 7 8 9 4 + 0 6 0 1 6 5 ( 2 3 9 0 1 6 ) + 0 0 8 6 4 2 1 ( 2 3 7 7 5 8 1 ) + 0 0 0 6 3 9 4 2 #### 2 3 7 3 9 7 6 2 898 | 9 0 3 2 * 9 5 5 3||1 8 7 0 2 + 0 5 4 5 1 1 ( 1 3 2 6 3 1 ) + 0 0 5 4 5 1 1 ( 1 3 7 0 9 2 1 ) + 0 0 0 7 2 9 6 0 #### 1 3 7 7 1 2 8 0 899 | 9 0 1 9 * 9 6 0 6||1 8 9 1 8 + 0 4 5 6 4 5 ( 1 2 5 8 2 6 ) + 0 0 0 0 0 0 0 ( 1 2 5 8 2 6 0 ) + 0 0 0 4 5 6 4 5 #### 1 2 5 2 8 2 5 5 900 | 7 3 8 3 * 6 5 8 9||2 2 0 3 2 + 0 5 8 1 9 1 ( 2 7 8 4 1 2 ) + 0 0 6 9 6 0 3 ( 2 7 4 4 8 2 3 ) + 0 0 0 3 3 5 4 3 #### 2 7 4 7 1 8 7 3 901 | 3 3 7 3 * 5 8 2 9||5 6 6 8 1 + 0 4 6 8 9 2 ( 5 0 3 7 1 3 ) + 0 0 6 6 4 7 0 ( 5 0 9 3 6 0 1 ) + 0 0 0 7 9 5 3 3 #### 5 0 9 0 6 6 4 3 902 | 0 5 5 8 * 5 6 8 1||0 5 7 2 4 + 0 0 0 3 1 5 ( 0 5 7 5 5 5 ) + 0 0 0 0 4 8 6 ( 0 5 7 5 9 3 7 ) + 0 0 0 0 5 5 8 0 #### 0 5 7 5 4 9 5 1 903 | 0 2 6 4 * 6 6 9 6||0 2 7 7 2 + 0 0 2 7 7 2 ( 0 2 9 4 0 3 ) + 0 0 0 8 5 1 4 ( 0 2 9 2 6 4 4 ) + 0 0 0 0 2 7 7 2 #### 0 2 9 2 8 1 2 3 904 | 3 2 6 9 * 1 6 3 7||3 2 6 9 0 + 0 8 3 7 7 5 ( 3 0 0 7 8 5 ) + 0 0 9 6 8 8 2 ( 3 0 9 3 7 4 3 ) + 0 0 0 1 6 3 7 6 #### 3 0 9 4 3 8 0 7 905 | 2 2 0 6 * 0 5 8 8||0 0 0 0 0 + 0 0 1 1 0 3 ( 0 0 1 1 0 3 ) + 0 0 6 7 1 8 4 ( 0 0 7 8 1 1 5 ) + 0 0 0 6 7 1 8 4 #### 0 0 7 4 9 2 3 5 906 | 4 6 7 6 * 3 8 3 2||2 9 2 0 2 + 0 2 1 1 4 5 ( 2 1 4 1 6 5 ) + 0 0 2 9 2 0 2 ( 2 1 6 0 9 5 2 ) + 0 0 0 8 2 5 3 1 #### 2 1 6 8 1 1 6 1 907 | 8 3 2 3 * 3 9 0 8||4 1 7 9 0 + 0 2 4 1 9 2 ( 4 3 1 1 0 3 ) + 0 0 0 0 0 0 0 ( 4 3 1 1 0 3 0 ) + 0 0 0 4 0 9 5 2 #### 4 3 1 5 0 2 6 2 908 | 0 1 4 2 * 6 4 4 7||0 6 4 4 1 + 0 0 4 6 9 0 ( 0 6 8 0 1 1 ) + 0 0 0 4 6 9 0 ( 0 6 8 4 7 0 1 ) + 0 0 0 0 7 8 6 1 #### 0 6 8 4 4 9 7 1 909 | 0 0 1 6 * 8 9 0 7||0 0 8 8 4 + 0 0 0 9 4 5 ( 0 0 8 7 9 5 ) + 0 0 0 0 0 0 0 ( 0 0 8 7 9 5 0 ) + 0 0 0 0 0 7 2 4 #### 0 0 8 7 9 2 3 4 910 | 5 9 4 1 * 1 2 7 5||5 9 4 1 0 + 0 0 9 9 2 0 ( 5 9 3 1 3 0 ) + 0 0 5 6 4 0 1 ( 5 9 8 7 7 0 1 ) + 0 0 0 5 7 4 7 0 #### 5 9 8 2 5 5 8 0 911 | 2 6 5 6 * 0 5 4 6||0 0 0 0 0 + 0 0 1 8 2 3 ( 0 0 1 8 2 3 ) + 0 0 8 4 2 6 2 ( 0 0 9 2 5 9 2 ) + 0 0 0 2 7 3 9 3 #### 0 0 9 4 2 3 2 4 912 | 2 6 6 5 * 5 2 1 2||0 1 3 8 2 + 0 4 2 3 1 1 ( 0 5 5 1 4 1 ) + 0 0 2 6 6 5 0 ( 0 5 7 7 0 7 0 ) + 0 0 0 4 2 3 1 1 #### 0 5 7 1 3 0 2 1 913 | 4 6 1 4 * 7 1 6 4||8 4 1 9 2 + 0 4 6 1 4 0 ( 8 8 7 0 7 0 ) + 0 0 4 8 9 4 2 ( 8 8 1 9 6 5 2 ) + 0 0 0 6 5 6 6 1 #### 8 8 1 5 2 2 9 1 914 | 7 8 6 8 * 1 9 1 9||7 8 6 8 0 + 0 3 8 1 8 7 ( 7 1 5 0 9 7 ) + 0 0 7 8 6 8 0 ( 7 1 2 9 5 6 1 ) + 0 0 0 3 8 1 8 7 #### 7 1 2 2 4 8 9 7 915 | 4 4 0 3 * 5 0 9 9||0 2 2 5 1 + 0 0 0 0 0 0 ( 0 2 2 5 1 0 ) + 0 0 6 9 3 7 2 ( 0 2 8 4 5 7 2 ) + 0 0 0 6 9 3 7 2 #### 0 2 8 0 5 1 0 3 916 | 6 4 3 4 * 0 2 8 7||0 0 0 0 0 + 0 2 9 6 8 0 ( 0 2 9 6 8 0 ) + 0 0 8 6 7 4 3 ( 0 2 7 3 6 5 3 ) + 0 0 0 2 2 4 0 3 #### 0 2 7 5 8 9 3 3 917 | 1 7 1 6 * 7 5 3 2||7 9 1 3 4 + 0 5 5 8 0 3 ( 7 4 7 1 5 3 ) + 0 0 3 1 5 8 1 ( 7 4 0 3 0 2 2 ) + 0 0 0 2 4 3 2 1 #### 7 4 0 5 4 5 4 1 918 | 9 6 2 9 * 1 8 3 7||9 6 2 9 0 + 0 2 5 1 4 7 ( 9 8 7 0 5 7 ) + 0 0 7 0 8 7 2 ( 9 8 4 1 3 5 3 ) + 0 0 0 3 8 8 4 6 #### 9 8 4 4 1 4 8 6 919 | 2 2 7 2 * 9 8 5 2||8 9 4 4 2 + 0 6 7 7 1 2 ( 8 5 2 2 4 2 ) + 0 0 0 1 6 3 1 ( 8 5 2 3 0 6 1 ) + 0 0 0 4 4 4 5 0 #### 8 5 2 7 4 0 7 0 920 | 0 8 8 9 * 8 8 5 5||0 4 0 9 7 + 0 0 4 0 9 7 ( 0 4 4 9 6 8 ) + 0 0 0 0 4 9 4 ( 0 4 4 9 0 8 5 ) + 0 0 0 0 0 4 9 4 #### 0 4 4 9 0 2 5 5 921 | 6 2 8 1 * 7 9 0 7||2 8 7 2 1 + 0 4 3 4 6 1 ( 2 2 1 7 7 1 ) + 0 0 0 0 0 0 0 ( 2 2 1 7 7 1 0 ) + 0 0 0 2 8 7 2 1 #### 2 2 1 9 5 9 2 1 922 | 2 8 2 3 * 6 0 3 8||2 9 6 9 1 + 0 0 0 0 0 0 ( 2 9 6 9 1 0 ) + 0 0 6 4 8 9 0 ( 2 9 2 4 0 0 1 ) + 0 0 0 6 5 2 6 2 #### 2 9 2 0 6 2 7 2 923 | 9 2 5 7 * 1 4 5 9||9 2 5 7 0 + 0 6 1 1 0 3 ( 9 8 6 8 0 3 ) + 0 0 5 4 6 7 3 ( 9 8 1 3 7 0 4 ) + 0 0 0 1 6 7 7 6 #### 9 8 1 4 3 8 1 7 924 | 5 9 1 5 * 0 1 8 1||0 0 0 0 0 + 0 5 9 1 5 0 ( 0 5 9 1 5 0 ) + 0 0 0 6 5 1 4 ( 0 5 9 7 0 2 4 ) + 0 0 0 5 9 1 5 0 #### 0 5 9 2 0 4 9 0 925 | 3 1 7 8 * 3 4 7 8||9 3 1 6 2 + 0 2 5 8 4 3 ( 9 5 6 4 7 3 ) + 0 0 1 9 9 0 6 ( 9 5 7 3 7 4 6 ) + 0 0 0 4 0 7 9 6 #### 9 5 7 7 7 1 6 7 926 | 0 6 6 1 * 8 2 7 2||0 8 2 3 1 + 0 0 2 3 3 0 ( 0 8 4 6 4 0 ) + 0 0 0 2 6 1 1 ( 0 8 4 8 0 2 1 ) + 0 0 0 0 2 3 3 0 #### 0 8 4 8 2 5 4 0 927 | 3 2 7 1 * 2 4 2 9||6 4 4 3 0 + 0 2 9 8 6 0 ( 6 6 3 2 7 0 ) + 0 0 6 4 4 3 0 ( 6 6 9 6 1 4 0 ) + 0 0 0 7 0 5 5 1 #### 6 6 9 3 2 9 5 1 928 | 1 8 6 8 * 5 2 2 6||5 0 4 3 4 + 0 2 6 3 7 1 ( 5 2 0 7 1 2 ) + 0 0 2 6 3 7 1 ( 5 2 2 3 5 9 1 ) + 0 0 0 6 8 0 2 5 #### 5 2 2 9 3 0 4 5 929 | 8 8 4 7 * 1 9 2 3||8 8 4 7 0 + 0 2 9 3 7 6 ( 8 0 4 1 8 6 ) + 0 0 6 7 9 4 1 ( 8 0 0 9 7 1 2 ) + 0 0 0 4 6 4 2 2 #### 8 0 0 3 4 6 4 2 930 | 0 6 4 5 * 6 6 0 2||0 6 7 2 3 + 0 0 6 7 2 3 ( 0 6 3 0 6 3 ) + 0 0 0 0 0 0 0 ( 0 6 3 0 6 3 0 ) + 0 0 0 0 2 9 0 1 #### 0 6 3 0 8 2 1 1 931 | 3 2 2 4 * 7 3 3 5||1 6 5 9 2 + 0 9 6 6 2 1 ( 1 5 2 6 5 1 ) + 0 0 9 6 6 2 1 ( 1 5 1 3 2 4 1 ) + 0 0 0 5 1 1 1 2 #### 1 5 1 8 3 5 2 2 932 | 1 2 2 4 * 9 9 9 1||9 8 9 7 3 + 0 9 8 9 7 3 ( 9 7 8 7 1 4 ) + 0 0 9 8 9 7 3 ( 9 7 7 6 1 2 4 ) + 0 0 0 1 2 2 4 0 #### 9 7 7 7 3 4 8 0 933 | 9 7 1 3 * 0 1 9 4||0 0 0 0 0 + 0 9 7 1 3 0 ( 0 9 7 1 3 0 ) + 0 0 1 1 6 8 2 ( 0 9 8 2 9 8 2 ) + 0 0 0 6 1 7 2 1 #### 0 9 8 8 0 6 5 1 934 | 0 0 5 5 * 5 3 9 3||0 0 5 7 2 + 0 0 0 5 6 1 ( 0 0 5 2 9 1 ) + 0 0 0 0 5 9 4 ( 0 0 5 2 4 1 5 ) + 0 0 0 0 0 5 6 1 #### 0 0 5 2 4 6 1 2 935 | 5 4 2 6 * 8 1 6 8||0 6 9 9 4 + 0 5 4 2 6 0 ( 0 1 4 2 1 1 ) + 0 0 0 7 4 7 3 ( 0 1 4 9 5 8 3 ) + 0 0 0 0 6 9 9 4 #### 0 1 4 9 1 8 3 5 936 | 9 0 4 7 * 2 7 9 6||8 1 8 4 1 + 0 3 6 8 1 5 ( 8 4 4 3 3 5 ) + 0 0 1 8 6 6 6 ( 8 4 5 1 0 2 7 ) + 0 0 0 4 5 4 4 4 #### 8 4 5 5 5 6 1 5 937 | 9 6 3 7 * 7 1 1 6||3 8 5 1 5 + 0 9 6 3 7 0 ( 3 7 2 5 2 1 ) + 0 0 9 6 3 7 0 ( 3 7 1 2 6 8 0 ) + 0 0 0 4 1 2 4 4 #### 3 7 1 6 7 0 5 4 938 | 9 6 1 1 * 8 4 5 3||2 5 3 9 0 + 0 6 7 6 4 0 ( 2 1 1 6 5 0 ) + 0 0 5 4 8 5 0 ( 2 1 6 0 4 6 0 ) + 0 0 0 7 0 5 3 0 #### 2 1 6 7 4 1 4 0 939 | 8 4 6 6 * 9 2 2 7||2 3 8 9 5 + 0 6 9 2 3 1 ( 2 9 7 2 9 1 ) + 0 0 6 9 2 3 1 ( 2 9 3 2 2 5 1 ) + 0 0 0 6 3 5 6 4 #### 2 9 3 8 5 0 8 4 940 | 1 3 6 1 * 9 1 5 5||9 7 6 4 1 + 0 1 3 6 1 0 ( 9 8 9 0 3 0 ) + 0 0 5 5 1 8 0 ( 9 8 4 6 4 8 0 ) + 0 0 0 5 5 1 8 0 #### 9 8 4 1 0 0 9 0 941 | 3 1 7 3 * 8 2 0 1||4 0 7 9 2 + 0 6 2 4 7 0 ( 4 6 9 3 0 1 ) + 0 0 0 0 0 0 0 ( 4 6 9 3 0 1 0 ) + 0 0 0 3 1 7 3 0 #### 4 6 9 6 1 8 3 0 942 | 0 2 0 3 * 3 6 0 7||0 6 0 9 0 + 0 0 2 1 8 1 ( 0 6 2 0 9 1 ) + 0 0 0 0 0 0 0 ( 0 6 2 0 9 1 0 ) + 0 0 0 0 4 1 1 2 #### 0 6 2 0 3 3 1 2 943 | 6 8 7 2 * 7 8 2 5||2 0 5 9 1 + 0 8 8 2 2 2 ( 2 8 3 2 4 2 ) + 0 0 2 7 5 5 0 ( 2 8 5 9 9 7 0 ) + 0 0 0 0 3 9 3 1 #### 2 8 5 9 2 7 4 1 944 | 1 4 3 6 * 8 6 4 2||8 2 7 0 5 + 0 6 4 0 8 3 ( 8 8 1 1 3 4 ) + 0 0 4 6 3 5 2 ( 8 8 5 7 6 9 2 ) + 0 0 0 2 8 6 2 1 #### 8 8 5 9 4 6 5 1 945 | 0 4 8 4 * 8 0 4 5||0 2 7 8 3 + 0 0 0 0 0 0 ( 0 2 7 8 3 0 ) + 0 0 0 6 3 9 1 ( 0 2 7 4 7 9 1 ) + 0 0 0 0 0 2 4 2 #### 0 2 7 4 7 1 6 2 946 | 5 7 2 1 * 7 5 2 8||5 2 9 8 0 + 0 5 7 3 6 0 ( 5 7 6 2 7 0 ) + 0 0 0 5 5 2 0 ( 5 7 6 7 2 3 0 ) + 0 0 0 0 0 2 0 1 #### 5 7 6 7 2 5 0 1 947 | 0 7 9 9 * 1 5 6 1||0 7 9 9 0 + 0 0 5 8 9 4 ( 0 7 4 8 0 5 ) + 0 0 0 2 8 9 5 ( 0 7 4 0 9 4 6 ) + 0 0 0 0 7 9 9 0 #### 0 7 4 0 6 4 6 1 948 | 3 6 0 7 * 4 2 9 6||2 5 2 8 2 + 0 6 2 1 4 1 ( 2 1 5 9 6 1 ) + 0 0 7 6 5 3 6 ( 2 1 2 6 2 5 6 ) + 0 0 0 8 7 3 2 4 #### 2 1 2 4 0 9 8 4 949 | 0 7 7 3 * 4 6 6 9||0 8 0 5 1 + 0 0 2 6 2 2 ( 0 8 2 1 4 2 ) + 0 0 0 2 6 2 2 ( 0 8 2 3 0 5 2 ) + 0 0 0 0 3 9 3 3 #### 0 8 2 3 3 4 6 3 950 | 2 5 4 8 * 5 3 8 1||0 6 2 2 4 + 0 6 5 3 5 2 ( 0 2 8 5 9 2 ) + 0 0 6 1 6 7 6 ( 0 2 4 7 5 0 7 ) + 0 0 0 2 5 4 8 0 #### 0 2 4 9 0 5 5 1 951 | 9 9 7 1 * 4 1 6 4||6 9 1 7 0 + 0 9 9 7 1 0 ( 6 8 1 5 2 0 ) + 0 0 4 9 7 0 1 ( 6 8 5 4 0 1 1 ) + 0 0 0 6 9 1 7 0 #### 6 8 5 0 0 3 8 0 952 | 7 8 4 1 * 0 3 6 9||0 0 0 0 0 + 0 1 6 4 4 0 ( 0 1 6 4 4 0 ) + 0 0 2 2 9 8 0 ( 0 1 8 6 3 9 0 ) + 0 0 0 3 8 3 3 1 #### 0 1 8 9 1 3 4 1 953 | 9 6 7 6 * 1 2 9 8||9 6 7 6 0 + 0 8 3 5 3 1 ( 9 4 1 2 4 1 ) + 0 0 1 2 9 0 6 ( 9 4 2 4 3 2 6 ) + 0 0 0 2 5 1 4 5 #### 9 4 2 6 8 3 0 6 954 | 8 9 0 5 * 3 2 1 1||4 9 2 5 1 + 0 6 9 1 0 1 ( 4 5 2 7 1 1 ) + 0 0 8 9 0 5 0 ( 4 5 0 7 2 6 0 ) + 0 0 0 8 9 0 5 0 #### 4 5 0 5 2 7 5 0 955 | 7 3 0 6 * 5 3 6 7||5 8 1 0 3 + 0 1 1 1 8 1 ( 5 9 2 1 1 2 ) + 0 0 2 2 2 6 3 ( 5 9 4 3 3 8 3 ) + 0 0 0 9 5 2 2 4 #### 5 9 4 2 9 0 6 4 956 | 7 5 6 7 * 7 2 8 7||9 9 5 3 5 + 0 4 1 3 5 1 ( 9 3 7 6 0 2 ) + 0 0 6 5 2 1 6 ( 9 3 3 2 3 3 6 ) + 0 0 0 9 9 5 3 5 #### 9 3 3 1 3 9 9 5 957 | 8 1 8 4 * 7 8 2 9||6 2 7 3 3 + 0 4 4 5 8 3 ( 6 6 1 9 1 4 ) + 0 0 6 3 6 9 0 ( 6 6 7 2 8 3 1 ) + 0 0 0 2 6 3 3 4 #### 6 6 7 4 4 7 4 4 958 | 1 6 2 7 * 3 2 6 3||3 8 7 1 2 + 0 2 2 5 4 1 ( 3 0 0 7 6 1 ) + 0 0 6 6 5 3 4 ( 3 0 6 3 2 5 4 ) + 0 0 0 3 8 7 1 2 #### 3 0 6 6 0 3 6 2 959 | 8 0 8 2 * 8 4 7 1||4 6 4 2 2 + 0 2 3 2 1 1 ( 4 8 7 4 3 1 ) + 0 0 6 5 6 9 1 ( 4 8 3 0 0 1 2 ) + 0 0 0 8 0 8 2 0 #### 4 8 3 8 0 9 4 0 960 | 3 7 9 7 * 2 9 3 2||6 4 9 5 1 + 0 7 5 7 1 7 ( 6 1 5 3 3 7 ) + 0 0 9 1 9 3 2 ( 6 1 4 5 2 1 3 ) + 0 0 0 6 4 9 5 1 #### 6 1 4 1 7 0 9 1 961 | 0 8 3 6 * 0 0 3 1||0 0 0 0 0 + 0 0 0 0 0 0 ( 0 0 0 0 0 0 ) + 0 0 0 4 1 9 1 ( 0 0 0 4 1 9 1 ) + 0 0 0 0 8 3 6 0 #### 0 0 0 4 9 2 8 0 962 | 8 2 8 2 * 6 1 3 3||8 6 9 6 1 + 0 8 2 8 2 0 ( 8 4 2 5 4 0 ) + 0 0 4 8 4 8 0 ( 8 4 6 3 9 8 0 ) + 0 0 0 4 8 4 8 0 #### 8 4 6 7 7 3 9 0 963 | 3 8 3 8 * 1 8 3 3||3 8 3 8 0 + 0 4 6 0 7 6 ( 3 2 0 9 7 6 ) + 0 0 9 4 1 5 2 ( 3 2 9 3 9 1 3 ) + 0 0 0 9 4 1 5 2 #### 3 2 9 2 4 3 8 2 964 | 1 1 6 4 * 0 3 5 9||0 0 0 0 0 + 0 3 3 8 3 1 ( 0 3 3 8 3 1 ) + 0 0 5 5 0 3 2 ( 0 3 8 3 4 4 2 ) + 0 0 0 9 9 4 1 4 #### 0 3 8 2 4 9 3 4 965 | 6 3 9 1 * 8 5 3 2||8 8 4 5 1 + 0 0 8 6 9 0 ( 8 8 2 2 1 1 ) + 0 0 8 0 8 5 0 ( 8 8 0 3 9 6 0 ) + 0 0 0 2 7 8 3 0 #### 8 8 0 5 6 5 4 0 966 | 6 2 1 7 * 5 1 7 3||0 3 6 5 3 + 0 6 2 1 7 0 ( 0 9 8 6 0 1 ) + 0 0 2 8 8 9 4 ( 0 9 0 5 9 0 5 ) + 0 0 0 8 7 3 1 2 #### 0 9 0 3 7 4 6 2 967 | 4 2 0 4 * 9 8 1 6||6 1 2 6 3 + 0 2 9 1 2 3 ( 6 3 1 8 5 3 ) + 0 0 4 2 0 4 0 ( 6 3 5 0 6 7 0 ) + 0 0 0 4 4 1 4 2 #### 6 3 5 4 0 9 4 2 968 | 0 0 0 6 * 1 1 0 5||0 0 0 6 0 + 0 0 0 0 6 0 ( 0 0 0 6 6 0 ) + 0 0 0 0 0 0 0 ( 0 0 0 6 6 0 0 ) + 0 0 0 0 0 0 0 3 #### 0 0 0 6 6 0 0 3 969 | 6 9 9 3 * 4 6 1 3||4 8 9 5 1 + 0 6 7 9 3 2 ( 4 4 7 5 5 2 ) + 0 0 6 9 9 3 0 ( 4 4 3 5 5 6 0 ) + 0 0 0 8 8 9 1 1 #### 4 4 3 3 4 6 2 1 970 | 1 0 9 9 * 0 4 8 4||0 0 0 0 0 + 0 4 0 6 9 3 ( 0 4 0 6 9 3 ) + 0 0 8 0 2 9 7 ( 0 4 8 6 1 3 8 ) + 0 0 0 4 0 6 9 3 #### 0 4 8 0 2 9 7 4 971 | 1 1 9 5 * 6 3 4 3||6 6 4 5 3 + 0 3 3 7 7 1 ( 6 9 7 2 1 2 ) + 0 0 4 4 6 3 2 ( 6 9 1 7 7 5 2 ) + 0 0 0 3 3 7 7 1 #### 6 9 1 0 1 3 0 2 972 | 6 6 2 7 * 0 8 8 8||0 0 0 0 0 + 0 8 2 1 8 5 ( 0 8 2 1 8 5 ) + 0 0 8 2 1 8 5 ( 0 8 0 4 9 3 6 ) + 0 0 0 8 2 1 8 5 #### 0 8 0 2 2 5 4 6 973 | 0 1 7 6 * 8 2 9 2||0 8 6 3 5 + 0 0 2 4 3 1 ( 0 8 8 7 8 1 ) + 0 0 0 9 3 0 6 ( 0 8 8 6 2 2 6 ) + 0 0 0 0 2 4 3 1 #### 0 8 8 6 4 6 9 1 974 | 6 0 1 9 * 7 6 7 9||2 4 7 3 6 + 0 6 3 6 4 5 ( 2 0 1 0 1 6 ) + 0 0 2 4 7 3 6 ( 2 0 3 4 8 9 6 ) + 0 0 0 4 5 9 1 8 #### 2 0 3 8 3 9 8 8 975 | 8 9 0 3 * 7 2 7 7||6 8 6 1 2 + 0 6 9 1 6 0 ( 6 4 6 3 8 0 ) + 0 0 6 8 6 1 2 ( 6 4 2 2 5 2 2 ) + 0 0 0 6 8 6 1 2 #### 6 4 2 8 3 9 3 2 976 | 4 9 0 3 * 2 4 4 4||8 8 1 6 0 + 0 6 7 3 2 1 ( 8 4 9 9 2 1 ) + 0 0 6 7 3 2 1 ( 8 4 5 7 6 3 1 ) + 0 0 0 6 7 3 2 1 #### 8 4 5 3 4 7 3 1 977 | 7 2 3 3 * 6 2 9 6||2 6 9 9 1 + 0 4 5 6 6 0 ( 2 0 5 6 8 0 ) + 0 0 3 4 9 9 2 ( 2 0 8 0 8 0 3 ) + 0 0 0 2 6 9 9 1 #### 2 0 8 2 4 0 3 2 978 | 6 8 6 5 * 6 2 8 4||6 1 1 4 3 + 0 2 7 3 1 1 ( 6 3 8 7 4 1 ) + 0 0 8 8 4 5 4 ( 6 3 6 6 9 6 4 ) + 0 0 0 4 4 7 2 2 #### 6 3 6 0 4 4 7 2 979 | 0 5 1 5 * 3 2 6 5||0 5 4 5 1 + 0 0 0 3 0 1 ( 0 5 4 8 1 1 ) + 0 0 0 0 9 0 3 ( 0 5 4 8 0 2 3 ) + 0 0 0 0 5 7 5 2 #### 0 5 4 8 5 9 8 2 980 | 6 5 8 5 * 9 3 6 4||4 0 7 2 5 + 0 8 6 5 7 1 ( 4 8 3 8 2 2 ) + 0 0 6 3 1 5 3 ( 4 8 9 1 4 7 3 ) + 0 0 0 4 2 4 3 2 #### 4 8 9 5 6 1 7 2 981 | 9 0 8 6 * 7 8 8 3||3 6 6 7 4 + 0 2 7 4 4 5 ( 3 8 3 2 9 5 ) + 0 0 2 7 4 4 5 ( 3 8 5 9 3 0 6 ) + 0 0 0 7 2 4 0 2 #### 3 8 5 6 6 4 6 2 982 | 7 2 8 1 * 0 4 8 9||0 0 0 0 0 + 0 8 0 3 7 0 ( 0 8 0 3 7 0 ) + 0 0 6 1 6 4 1 ( 0 8 6 4 3 5 1 ) + 0 0 0 3 4 4 6 1 #### 0 8 6 7 7 9 7 1 983 | 3 2 8 4 * 0 9 3 4||0 0 0 0 0 + 0 7 0 4 3 4 ( 0 7 0 4 3 4 ) + 0 0 9 6 4 4 1 ( 0 7 9 0 8 8 1 ) + 0 0 0 2 9 2 9 1 #### 0 7 9 2 7 1 1 2 984 | 6 3 9 8 * 4 3 9 4||4 4 7 5 3 + 0 8 0 8 6 2 ( 4 2 8 3 0 3 ) + 0 0 4 2 4 0 8 ( 4 2 2 6 4 3 8 ) + 0 0 0 4 4 7 5 3 #### 4 2 2 0 9 0 4 4 985 | 8 6 2 7 * 1 9 5 7||8 6 2 7 0 + 0 2 1 4 5 6 ( 8 8 3 1 6 6 ) + 0 0 0 4 3 6 3 ( 8 8 3 5 9 2 4 ) + 0 0 0 6 7 8 0 5 #### 8 8 3 1 7 1 5 5 986 | 6 8 7 7 * 3 6 1 1||8 5 3 3 2 + 0 6 1 7 6 4 ( 8 1 5 0 9 4 ) + 0 0 6 8 7 7 0 ( 8 1 1 9 6 2 1 ) + 0 0 0 6 8 7 7 0 #### 8 1 1 5 5 0 9 0 987 | 0 6 3 5 * 5 5 4 5||0 0 8 6 2 + 0 0 0 8 6 2 ( 0 0 8 4 9 2 ) + 0 0 0 4 4 1 2 ( 0 0 8 8 3 4 2 ) + 0 0 0 0 0 8 6 2 #### 0 0 8 8 3 2 9 2 988 | 8 3 8 6 * 7 5 7 6||6 6 8 7 4 + 0 0 9 1 4 3 ( 6 6 7 9 8 3 ) + 0 0 6 6 8 7 4 ( 6 6 3 6 7 1 5 ) + 0 0 0 8 2 0 1 4 #### 6 6 3 4 0 2 6 4 989 | 9 1 0 4 * 2 2 1 3||8 3 0 8 0 + 0 8 3 0 8 0 ( 8 1 4 8 8 0 ) + 0 0 9 1 0 4 0 ( 8 1 3 0 9 4 0 ) + 0 0 0 7 5 0 2 1 #### 8 1 3 7 4 5 2 1 990 | 2 6 4 1 * 5 1 1 9||0 1 3 7 0 + 0 2 6 4 1 0 ( 0 3 9 1 2 0 ) + 0 0 2 6 4 1 0 ( 0 3 1 8 6 1 0 ) + 0 0 0 8 5 1 3 1 #### 0 3 1 6 2 3 3 1 991 | 0 2 1 6 * 5 3 8 8||0 0 6 0 3 + 0 0 6 3 8 1 ( 0 0 2 4 1 2 ) + 0 0 0 6 9 8 4 ( 0 0 2 0 1 1 5 ) + 0 0 0 0 6 9 8 4 #### 0 0 2 0 7 0 4 5 992 | 9 3 5 2 * 5 5 6 2||5 9 6 2 1 + 0 5 9 6 2 1 ( 5 4 6 9 3 1 ) + 0 0 4 3 2 5 1 ( 5 4 0 3 6 6 1 ) + 0 0 0 8 7 0 5 0 #### 5 4 0 1 4 7 6 0 993 | 5 7 5 2 * 2 2 7 3||0 5 1 5 0 + 0 0 5 1 5 0 ( 0 5 6 6 5 0 ) + 0 0 5 2 0 8 1 ( 0 5 1 9 5 8 1 ) + 0 0 0 5 2 7 7 0 #### 0 5 1 4 8 5 9 0 994 | 0 3 4 3 * 0 0 0 7||0 0 0 0 0 + 0 0 0 0 0 0 ( 0 0 0 0 0 0 ) + 0 0 0 0 0 0 0 ( 0 0 0 0 0 0 0 ) + 0 0 0 0 1 0 4 2 #### 0 0 0 0 1 0 4 2 995 | 1 9 5 2 * 9 6 0 7||9 1 3 3 2 + 0 6 4 5 5 1 ( 9 7 7 8 7 1 ) + 0 0 0 0 0 0 0 ( 9 7 7 8 7 1 0 ) + 0 0 0 7 3 1 8 1 #### 9 7 7 5 1 3 8 1 996 | 1 4 9 8 * 5 2 3 3||5 0 7 4 4 + 0 2 8 8 7 1 ( 5 2 5 3 2 2 ) + 0 0 3 2 8 6 2 ( 5 2 8 5 0 9 2 ) + 0 0 0 3 2 8 6 2 #### 5 2 8 8 2 7 9 2 997 | 3 5 3 2 * 8 2 5 7||4 2 8 8 1 + 0 6 0 7 4 0 ( 4 8 8 5 6 0 ) + 0 0 5 6 7 1 1 ( 4 8 3 2 4 2 1 ) + 0 0 0 1 7 4 6 1 #### 4 8 3 3 1 7 7 1 998 | 3 4 8 3 * 9 3 5 6||7 8 5 4 3 + 0 9 2 5 1 1 ( 7 7 8 9 4 1 ) + 0 0 5 1 2 9 1 ( 7 7 3 1 7 0 2 ) + 0 0 0 8 5 0 3 2 #### 7 7 3 9 2 1 5 2 999 | 1 6 1 3 * 4 4 5 5||4 4 6 2 1 + 0 4 4 6 2 1 ( 4 8 0 9 3 1 ) + 0 0 5 0 8 5 1 ( 4 8 5 9 1 7 1 ) + 0 0 0 5 0 8 5 1 #### 4 8 5 4 2 5 7 1 1000 | 9 4 3 5 * 9 7 8 6||1 4 1 8 4 + 0 3 4 4 7 3 ( 1 7 5 2 2 4 ) + 0 0 2 9 7 2 4 ( 1 7 7 1 0 7 4 ) + 0 0 0 4 9 0 2 3 #### 1 7 7 5 9 7 6 3 1001 | -------------------------------------------------------------------------------- /data/5_by_5_mult/train.txt: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:e41642536746292598fb5fa53bf8ebb01358a161a6ba78892d0579ccc1489253 3 | size 158368000 4 | -------------------------------------------------------------------------------- /data/7_by_7_mult/train.txt: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:4ad4a0051dc3d65ac722423f3d6d89fa528d77faa4198d2dc0930f136068c53e 3 | size 290880000 4 | -------------------------------------------------------------------------------- /data/9_by_9_mult/train.txt: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:b800bf6ace48e0ea32fbf399cfe30a4857d3b4701e3dcd6d94c19240c6dd60f9 3 | size 462176000 4 | -------------------------------------------------------------------------------- /data/gsm8k/train.txt: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:0a3909a9e7d8d2f7ad6b8c7b5608aa744988d835f9bf874d4cf06ca77df6bf8c 3 | size 87805358 4 | -------------------------------------------------------------------------------- /imgs/stepwise_internalization.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/da03/Internalize_CoT_Step_by_Step/c2e3891d8d577beeaff03fa3b076d1e4db96cfe8/imgs/stepwise_internalization.png -------------------------------------------------------------------------------- /src/configuration_model.py: -------------------------------------------------------------------------------- 1 | from transformers import PretrainedConfig 2 | 3 | class ImplicitModelConfig(PretrainedConfig): 4 | def __init__( 5 | self, 6 | base_model='gpt2', 7 | **kwargs, 8 | ): 9 | self.base_model = base_model 10 | self.tokenizer_name = base_model 11 | super().__init__(**kwargs) 12 | 13 | -------------------------------------------------------------------------------- /src/data.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass 2 | import os 3 | import copy 4 | import torch 5 | from torch.utils.data import Dataset 6 | from torch.nn.utils.rnn import pad_sequence 7 | 8 | def extract_answer(text): 9 | split_pattern = '####' 10 | if split_pattern not in text: 11 | return text.strip().replace(',', '') 12 | else: 13 | _, ans = text.strip().split('####', 1) 14 | ans = '####' + ans 15 | ans = ans.strip().replace(',', '') 16 | return ans 17 | 18 | def extract_cot(text): 19 | split_pattern = '####' 20 | if split_pattern not in text: 21 | #import pdb; pdb.set_trace() 22 | return None 23 | else: 24 | cot, _ = text.strip().split('####', 1) 25 | cot = cot.strip() 26 | return cot 27 | 28 | class CoTDataset(Dataset): 29 | def __init__(self, tokenizer, file_path, max_length=-1, max_size=-1): 30 | assert os.path.isfile(file_path), f"Input file path {file_path} not found" 31 | print (f'Creating features from dataset file at {file_path}') 32 | eos_tok = tokenizer.eos_token 33 | eos_tok = tokenizer.eos_token 34 | 35 | with open(file_path, encoding="utf-8") as f: 36 | #lines = [line.split('||') for line in f.read().splitlines() if (len(line) > 0 and not line.isspace() 37 | # and len(line.split('||')) ==2 )] 38 | lines = [line.strip().split('||') for line in f.readlines() if (len(line.strip()) > 0 and not line.strip().isspace() 39 | and len(line.strip().split('||')) ==2 )] 40 | if max_size > 0: 41 | print (f'truncated to {max_size}') 42 | lines = lines[:max_size] 43 | src_lines, tgt_lines = list(zip(*lines)) 44 | src_lines = list(src_lines) 45 | tgt_lines = list(tgt_lines) 46 | 47 | #edited_sents_cot = [] 48 | #edited_sents_only = [] 49 | edited_sents_all = [] 50 | #edited_sents_nocot = [] 51 | self.examples_all = [] 52 | for src, tgt in zip(src_lines, tgt_lines): 53 | #import pdb; pdb.set_trace() 54 | ans = extract_answer(tgt) 55 | cot = extract_cot(tgt) 56 | #sent = ' {} {} '.format(src, eos_tok) + cot + ' {}'.format(eos_tok) 57 | #edited_sents_cot.append(sent) 58 | #sent = ' {} {} '.format(src, eos_tok) 59 | #edited_sents_only.append(sent) 60 | sent = ' {} {} '.format(src, eos_tok) + cot + ' {} '.format(eos_tok) + ans + ' {}'.format(eos_tok) 61 | #edited_sents_all.append(sent) 62 | #sent = ' {} {} '.format(src, eos_tok) + ans + ' {}'.format(eos_tok) 63 | #edited_sents_nocot.append(sent) 64 | if max_length > 0: 65 | batch_encoding_all = tokenizer([sent], add_special_tokens=True, truncation=True, max_length=max_length) 66 | else: 67 | batch_encoding_all = tokenizer([sent], add_special_tokens=True) 68 | self.examples_all.append(batch_encoding_all["input_ids"][0]) 69 | if len(self.examples_all) % 1000 == 0: 70 | print (len(self.examples_all)) 71 | 72 | separator = tokenizer.eos_token_id #tokenizer(eos_tok, add_special_tokens=False)['input_ids'][0] 73 | self.separator = separator 74 | 75 | def __len__(self): 76 | return len(self.examples_all) 77 | 78 | # def __getitem__(self, i) -> torch.Tensor: 79 | def __getitem__(self, i): 80 | input_ids = self.examples_all[i] 81 | labels = copy.deepcopy(input_ids) 82 | sep_idx = labels.index(self.separator) + 1 83 | labels[:sep_idx] = [-100] * sep_idx 84 | return ( 85 | torch.tensor(input_ids, dtype=torch.long), 86 | torch.tensor(labels, dtype=torch.long), 87 | ) 88 | @dataclass 89 | class CoTDataCollator: 90 | """ 91 | VAEData collator used for language modeling. 92 | - collates batches of tensors, honoring their tokenizer's pad_token 93 | - preprocesses batches for masked language modeling 94 | """ 95 | def __init__(self, tokenizer): 96 | self.tokenizer = tokenizer 97 | 98 | def __call__(self, examples): 99 | #import pdb; pdb.set_trace() 100 | input_ids_all, labels_all = zip(*examples) 101 | #input_ids_cot = self._tensorize_batch(input_ids_cot) 102 | #input_ids_cot[input_ids_cot.lt(0)] = self.tokenizer.eos_token_id 103 | #input_ids_only = self._tensorize_batch(input_ids_only) 104 | #input_ids_only[input_ids_only.lt(0)] = self.tokenizer.eos_token_id 105 | input_ids_all = self._tensorize_batch(input_ids_all) 106 | input_ids_all[input_ids_all.lt(0)] = self.tokenizer.eos_token_id 107 | #input_ids_nocot = self._tensorize_batch(input_ids_nocot) 108 | #input_ids_nocot[input_ids_nocot.lt(0)] = self.tokenizer.eos_token_id 109 | #labels_cot = self._tensorize_batch(labels_cot) 110 | labels_all = self._tensorize_batch(labels_all) 111 | #labels_cot_shift = self._tensorize_batch(labels_cot_shift) 112 | #labels_nocot = self._tensorize_batch(labels_nocot) 113 | #return {"input_ids_cot": input_ids_cot, "input_ids_nocot": input_ids_nocot, "labels_cot": labels_cot, "labels_cot_shift": labels_cot_shift, "labels_nocot": labels_nocot, 'input_ids_only': input_ids_only, 'input_ids_all': input_ids_all, 'labels_all': labels_all} 114 | return {'input_ids_all': input_ids_all, 'labels_all': labels_all} 115 | 116 | def _tensorize_batch(self, examples): 117 | # In order to accept both lists of lists and lists of Tensors 118 | if isinstance(examples[0], (list, tuple)): 119 | examples = [torch.tensor(e, dtype=torch.long) for e in examples] 120 | length_of_first = examples[0].size(0) 121 | are_tensors_same_length = all(x.size(0) == length_of_first for x in examples) 122 | if are_tensors_same_length: 123 | return torch.stack(examples, dim=0) 124 | else: 125 | return pad_sequence(examples, batch_first=True, padding_value=-100) 126 | -------------------------------------------------------------------------------- /src/generate.py: -------------------------------------------------------------------------------- 1 | import math 2 | import time 3 | import torch 4 | from torch.utils.data import DataLoader 5 | from transformers import AdamW 6 | import argparse 7 | import os 8 | import sys 9 | import tqdm 10 | import inspect 11 | import logging 12 | import random 13 | from model import ImplicitModel 14 | from data import CoTDataset, CoTDataCollator, extract_answer 15 | 16 | from utils import get_sep_position 17 | 18 | torch.backends.cuda.matmul.allow_tf32 = True 19 | torch.backends.cudnn.allow_tf32 = True 20 | logging.disable(logging.WARNING) 21 | 22 | 23 | @torch.no_grad() 24 | def evaluate(dataloader, tokenizer, device, ctx, model, max_new_tokens): 25 | model.eval() 26 | total_instances = 0 27 | total_correct = 0 28 | total_time = 0 29 | for batch in tqdm.tqdm(dataloader): 30 | input_ids_all = batch['input_ids_all'].to(device) 31 | labels = batch['labels_all'].to(device) 32 | # Remove answer part 33 | sep_positions = get_sep_position(input_ids_all, tokenizer.eos_token_id) 34 | input_ids = input_ids_all[:, :sep_positions.max()+1] 35 | batch_size = input_ids.shape[0] 36 | total_instances += batch_size 37 | 38 | # Generate 39 | stop_on_two_eos = True 40 | start_time = time.time() 41 | beam_output = model.generate( 42 | input_ids=input_ids, 43 | max_new_tokens=max_new_tokens, 44 | stop_on_two_eos=stop_on_two_eos, 45 | ) 46 | end_time = time.time() 47 | total_time += end_time - start_time 48 | # Evaluate 49 | for i, (input_ids_all_i, beam_output_i) in enumerate(zip(input_ids_all, beam_output)): 50 | sep_position = sep_positions[i].item() 51 | tgt = input_ids_all_i[sep_position+1:] 52 | tgt_text = tokenizer.decode(tgt, skip_special_tokens=True) 53 | ans = extract_answer(tgt_text) 54 | pred_text = tokenizer.decode(beam_output_i[0][sep_position+1:], skip_special_tokens=True) 55 | pred_ans = extract_answer(pred_text) 56 | if ans == pred_ans: 57 | total_correct += 1 58 | print (f'Input: {tokenizer.decode(input_ids_all_i[:sep_position], skip_special_tokens=True)}') 59 | print (f'Target: {tgt_text}') 60 | print (f'Predicted: {pred_text}') 61 | print ('') 62 | accuracy = total_correct / total_instances 63 | throughput = total_instances / total_time 64 | return accuracy, throughput 65 | 66 | 67 | def main(): 68 | parser = argparse.ArgumentParser() 69 | parser.add_argument('--from_pretrained', type=str, default=None) 70 | parser.add_argument('--test_path', type=str, required=True) 71 | parser.add_argument('--max_new_tokens', type=int, default=800) 72 | parser.add_argument('--batch_size', type=int, default=1) 73 | parser.add_argument('--truncation', type=int, default=-1) 74 | parser.add_argument('--bf16', action='store_true') 75 | parser.set_defaults(bf16=False) 76 | args = parser.parse_args() 77 | 78 | print (args) 79 | 80 | if args.bf16: 81 | dtype = 'bfloat16' 82 | else: 83 | dtype = 'float32' 84 | ptdtype = {'float32': torch.float32, 'bfloat16': torch.bfloat16, 'float16': torch.float16}[dtype] 85 | device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') 86 | ctx = torch.amp.autocast(device_type='cuda', dtype=ptdtype) 87 | print (ptdtype, dtype, device) 88 | 89 | # Load model 90 | print (f'Loading from {args.from_pretrained}') 91 | model = ImplicitModel.from_pretrained(args.from_pretrained).to(device).to(ptdtype) 92 | model = model.to(device).to(ptdtype) 93 | model.eval() 94 | tokenizer = model.tokenizer 95 | 96 | # Load data 97 | collate_fn = CoTDataCollator(tokenizer) 98 | test_dataset = CoTDataset(tokenizer, args.test_path, args.truncation) 99 | test_dataloader = DataLoader(test_dataset, batch_size=args.batch_size, collate_fn=collate_fn, shuffle=False) 100 | 101 | accuracy, throughput = evaluate(test_dataloader, tokenizer, device, ctx, model, args.max_new_tokens) 102 | print (f"Test Accuracy: {accuracy}. Throughput: {throughput}") 103 | 104 | if __name__ == "__main__": 105 | main() 106 | -------------------------------------------------------------------------------- /src/model.py: -------------------------------------------------------------------------------- 1 | import os 2 | import torch 3 | import torch.nn as nn 4 | 5 | from torch.nn import CrossEntropyLoss 6 | from transformers import AutoModelForCausalLM, AutoTokenizer, StoppingCriteriaList, GenerationConfig, LogitsProcessorList 7 | import sys 8 | 9 | from configuration_model import ImplicitModelConfig 10 | from utils import get_sep_position, DoubleEOSStoppingCriteria, DoubleEOSLogitsProcessor 11 | 12 | 13 | class ImplicitModel(nn.Module): 14 | def __init__(self, config, reinitialize_weights=False): 15 | super().__init__() 16 | self.config = config 17 | self.base_model = AutoModelForCausalLM.from_pretrained(config.base_model, trust_remote_code=True) 18 | if reinitialize_weights: 19 | print ('Reinitializing model weights!') 20 | self.base_model.apply(self.base_model._init_weights) 21 | self.tokenizer = AutoTokenizer.from_pretrained(config.tokenizer_name) 22 | 23 | def forward(self, input_ids, position_ids=None, output_attentions=False): 24 | if position_ids is not None: 25 | outputs = self.base_model.forward(input_ids=input_ids, output_attentions=output_attentions, position_ids=position_ids) 26 | else: 27 | outputs = self.base_model.forward(input_ids=input_ids, output_attentions=output_attentions) 28 | return outputs 29 | 30 | def compute_loss(self, input_ids, labels, position_ids=None, output_attentions=False): 31 | outputs = self.forward(input_ids=input_ids, position_ids=position_ids, output_attentions=output_attentions) 32 | logits = outputs.logits 33 | 34 | labels_pred = logits.argmax(-1) 35 | mask = labels[...,1:].ge(0) 36 | correct_tokens = ((labels_pred[...,:-1] == labels[...,1:]) * mask).sum() 37 | total_tokens = mask.sum() 38 | token_accuracy = correct_tokens / total_tokens 39 | 40 | shift_logits = logits[..., :-1, :].contiguous() 41 | shift_labels = labels[..., 1:].contiguous() 42 | loss_fct = CrossEntropyLoss() 43 | loss = loss_fct(shift_logits.view(-1, shift_logits.size(-1)), shift_labels.view(-1)) 44 | 45 | outputs.loss = loss 46 | outputs.token_accuracy = token_accuracy 47 | outputs.total_correct = correct_tokens 48 | outputs.total_loss = loss * total_tokens 49 | outputs.total_tokens = total_tokens 50 | return outputs 51 | 52 | def generate(self, input_ids, max_new_tokens=512, num_beams=1, stop_on_two_eos=True, position_ids=None): 53 | sep_positions = get_sep_position(input_ids, self.tokenizer.eos_token_id) 54 | batch_size = input_ids.shape[0] 55 | 56 | # Since there's one eos after CoT and another after final answer, we need to wait for two eos 57 | generation_config = GenerationConfig.from_model_config(self.base_model.config) 58 | if hasattr(generation_config, 'pad_token_id'): 59 | #generation_config.pad_token_id = -1 #TODO: this might not be necessary 60 | generation_config.pad_token_id = None #TODO: this might not be necessary 61 | if stop_on_two_eos: 62 | generation_config.eos_token_id = -1 63 | logits_processor = LogitsProcessorList([DoubleEOSLogitsProcessor(self.tokenizer.eos_token_id)]) 64 | stopping_criteria = StoppingCriteriaList([DoubleEOSStoppingCriteria(self.tokenizer.eos_token_id)]) 65 | else: 66 | logits_processor = None 67 | stopping_criteria = None 68 | 69 | beam_output = [] 70 | input_ids_all = [] 71 | for i in range(batch_size): 72 | if stop_on_two_eos: 73 | generation_config.eos_token_id = -1 74 | logits_processor = LogitsProcessorList([DoubleEOSLogitsProcessor(self.tokenizer.eos_token_id)]) 75 | stopping_criteria = StoppingCriteriaList([DoubleEOSStoppingCriteria(self.tokenizer.eos_token_id)]) 76 | 77 | input_ids_i = input_ids[i] 78 | #sep_positions_i = sep_positions[i:i+1] 79 | #end_idx = len(input_ids_i)-1 80 | #while input_ids_i[end_idx] == self.tokenizer.eos_token_id: 81 | # end_idx -= 1 82 | #input_ids_i = input_ids_i[:end_idx+2] 83 | #import pdb; pdb.set_trace() 84 | #sep_positions_i = [ii for ii, n in enumerate(input_ids_i.view(-1)) if n == self.tokenizer.eos_token_id][-3] 85 | sep_positions_i = [ii for ii, n in enumerate(input_ids_i.view(-1)) if n == self.tokenizer.eos_token_id][0] 86 | input_ids_i = input_ids_i.view(1, -1)[:, :sep_positions_i+1] 87 | input_ids_all.append(input_ids_i) 88 | max_seq_len = max([ele.shape[-1] for ele in input_ids_all]) 89 | input_ids_tensor = torch.zeros(batch_size,max_seq_len).long().to(input_ids.device) 90 | attention_mask_tensor = input_ids_tensor.data.clone() 91 | input_ids_tensor.fill_(self.tokenizer.eos_token_id) 92 | for i in range(batch_size): 93 | pad_len = max_seq_len - input_ids_all[i].shape[-1] 94 | input_ids_tensor[i, pad_len:] = torch.Tensor(input_ids_all[i]).view(-1).to(input_ids.device) 95 | attention_mask_tensor[i, pad_len:] = 1 96 | 97 | #import pdb; pdb.set_trace() 98 | beam_output = self.base_model.generate( 99 | input_ids=input_ids_tensor, 100 | attention_mask=attention_mask_tensor, 101 | generation_config=generation_config, 102 | max_new_tokens=max_new_tokens, 103 | num_beams=num_beams, 104 | early_stopping=True, 105 | num_return_sequences=1, 106 | logits_processor=logits_processor, 107 | stopping_criteria=stopping_criteria, 108 | do_sample=True, 109 | ) 110 | beam_output = beam_output.view(batch_size,1,-1) 111 | beam_output_list = [] 112 | for i in range(batch_size): 113 | pad_len = max_seq_len - input_ids_all[i].shape[-1] 114 | beam_output_list.append(beam_output[i,:,pad_len:]) 115 | return beam_output_list 116 | 117 | @classmethod 118 | def from_pretrained(self, pretrained_path): 119 | config = ImplicitModelConfig.from_pretrained(pretrained_path) 120 | model = ImplicitModel(config) 121 | state_dict = torch.load(os.path.join(pretrained_path, 'state_dict.bin')) 122 | model.load_state_dict(state_dict, strict=True) 123 | return model 124 | 125 | def save_pretrained(self, save_directory): 126 | print (f'Saving to {save_directory}') 127 | self.config.save_pretrained(save_directory) 128 | state_dict = self.state_dict() 129 | torch.save(state_dict, os.path.join(save_directory, 'state_dict.bin')) 130 | -------------------------------------------------------------------------------- /src/train.py: -------------------------------------------------------------------------------- 1 | import math 2 | import argparse 3 | import os 4 | import sys 5 | import tqdm 6 | import inspect 7 | import logging 8 | import random 9 | import torch 10 | 11 | from torch.utils.data import DataLoader 12 | from transformers import AdamW 13 | 14 | from model import ImplicitModel 15 | from configuration_model import ImplicitModelConfig 16 | from data import CoTDataset, CoTDataCollator, extract_answer 17 | from utils import get_sep_position, batch_ids, save_model 18 | 19 | 20 | torch.backends.cuda.matmul.allow_tf32 = True 21 | torch.backends.cudnn.allow_tf32 = True 22 | logging.disable(logging.WARNING) 23 | 24 | 25 | def compute_lambda_distribution(removal_smoothing_lambda, truncate_length=100): 26 | if removal_smoothing_lambda == float('inf'): 27 | lambda_distribution = torch.zeros(truncate_length) 28 | lambda_distribution[0] = 1 29 | else: 30 | positions = torch.arange(truncate_length) 31 | lambda_distribution = (1 - math.exp(-removal_smoothing_lambda)) * positions.mul(-removal_smoothing_lambda).exp() 32 | cum_prob = lambda_distribution.sum() 33 | assert cum_prob <= 1 34 | lambda_distribution[-1] = lambda_distribution[-1] + (1-cum_prob) 35 | return lambda_distribution 36 | 37 | 38 | @torch.no_grad() 39 | def evaluate(dataloader, tokenizer, device, ctx, model, max_new_tokens, scheduled_to_remove, removal_side, removal_smoothing_lambda, lambda_distribution, keep_position=False, disable_random_removal_offset=False): 40 | model.eval() 41 | total_instances = 0 42 | total_tokens = 0 43 | total_correct = 0 44 | total_correct_tokens = 0 45 | total_loss = 0 46 | position_ids_all = None 47 | position_ids = None 48 | for batch in tqdm.tqdm(dataloader): 49 | input_ids_all = batch['input_ids_all'].to(device) 50 | labels = batch['labels_all'].to(device) 51 | # Remove answer part 52 | sep_positions = get_sep_position(input_ids_all, tokenizer.eos_token_id) 53 | input_ids = input_ids_all[:, :sep_positions.max()+1] 54 | batch_size = input_ids.shape[0] 55 | first_sep_positions = get_sep_position(input_ids_all, tokenizer.eos_token_id) 56 | second_sep_positions = get_sep_position(input_ids_all, tokenizer.eos_token_id, skip=1) 57 | eos_positions = get_sep_position(input_ids_all, tokenizer.eos_token_id, skip=2) 58 | 59 | if scheduled_to_remove > 0 or removal_smoothing_lambda != float('inf'): 60 | if keep_position: 61 | position_ids_all = torch.arange(0, input_ids_all.shape[-1], dtype=torch.long, device=device).unsqueeze(0).repeat(batch_size, 1) 62 | input_ids_all_tmp = [] 63 | labels_tmp = [] 64 | random_removal_offset = torch.multinomial(lambda_distribution, batch_size, replacement=True).to(device) 65 | if disable_random_removal_offset: 66 | random_removal_offset.fill_(0) 67 | to_remove = scheduled_to_remove + random_removal_offset 68 | if removal_side == 'left': 69 | removal_from_positions = first_sep_positions + 1 # remove from, including 70 | removal_to_positions = first_sep_positions + 1 + to_remove # remove to, not including 71 | else: # removal_side == 'right' 72 | removal_to_positions = second_sep_positions 73 | removal_from_positions = second_sep_positions - to_remove 74 | 75 | for batch_id in range(input_ids_all.shape[0]): 76 | eos_position = eos_positions[batch_id] 77 | removal_from_position = removal_from_positions[batch_id] 78 | removal_to_position = removal_to_positions[batch_id] 79 | removal_from_position = max(removal_from_position, first_sep_positions[batch_id]+1) 80 | removal_to_position = min(removal_to_position, second_sep_positions[batch_id]) 81 | if keep_position: 82 | position_ids_all[batch_id, removal_from_position-1:] += removal_to_position-removal_from_position 83 | input_ids_all_tmp.append(torch.cat((input_ids_all[batch_id, :removal_from_position], input_ids_all[batch_id, removal_to_position:eos_position+1]), dim=-1)) 84 | labels_tmp.append(torch.cat((labels[batch_id, :removal_from_position], labels[batch_id, removal_to_position:eos_position+1]), dim=-1)) 85 | input_ids_all = batch_ids(input_ids_all_tmp, tokenizer.eos_token_id, device, input_ids_all.dtype) 86 | labels = batch_ids(labels_tmp, -100, device, input_ids.dtype) 87 | 88 | with ctx: 89 | if keep_position: 90 | position_ids_all = position_ids_all[:, :input_ids_all.shape[-1]] 91 | outputs = model.compute_loss(input_ids=input_ids_all, labels=labels, position_ids=position_ids_all) 92 | 93 | total_loss += outputs.total_loss.item() 94 | total_correct_tokens += outputs.total_correct.item() 95 | total_tokens += outputs.total_tokens 96 | total_instances += batch_size 97 | 98 | # Generate 99 | stop_on_two_eos = True 100 | if keep_position: 101 | position_ids = position_ids_all[:, :input_ids.shape[-1]] 102 | beam_output = model.generate( 103 | input_ids=input_ids, 104 | position_ids=position_ids, 105 | max_new_tokens=max_new_tokens, 106 | stop_on_two_eos=stop_on_two_eos, 107 | ) 108 | 109 | # Evaluate 110 | for i, (input_ids_all_i, beam_output_i) in enumerate(zip(input_ids_all, beam_output)): 111 | sep_position = sep_positions[i].item() 112 | tgt = input_ids_all_i[sep_position+1:] 113 | tgt_text = tokenizer.decode(tgt, skip_special_tokens=True) 114 | ans = extract_answer(tgt_text) 115 | pred_text = tokenizer.decode(beam_output_i[0][sep_position+1:], skip_special_tokens=True) 116 | pred_ans = extract_answer(pred_text) 117 | if ans == pred_ans: 118 | total_correct += 1 119 | print (f'Input: {tokenizer.decode(input_ids_all_i[:sep_position], skip_special_tokens=True)}') 120 | print (f'Target: {tgt_text}') 121 | print (f'Predicted: {pred_text}') 122 | print ('') 123 | accuracy = total_correct / total_instances 124 | token_accuracy = total_correct_tokens / total_tokens 125 | loss = total_loss / total_tokens 126 | ppl = math.exp(loss) 127 | return accuracy, token_accuracy, ppl 128 | 129 | 130 | def main(): 131 | parser = argparse.ArgumentParser() 132 | parser.add_argument('--model', type=str, default='gpt2') 133 | parser.add_argument('--train_path', type=str, required=True) 134 | parser.add_argument('--val_path', type=str, required=True) 135 | parser.add_argument('--test_path', type=str, default=None) 136 | parser.add_argument('--epochs', type=int, default=1) 137 | parser.add_argument('--lr', type=float, default=5e-5) 138 | parser.add_argument('--batch_size', type=int, default=32) 139 | parser.add_argument('--accumulate', type=int, default=1) 140 | parser.add_argument('--remove_per_epoch', type=float, default=8) 141 | parser.add_argument('--remove_all_when_remove_beyond', type=str, default='inf') 142 | parser.add_argument('--removal_smoothing_lambda', type=float, default=float('inf')) 143 | parser.add_argument('--removal_side', type=str, choices=['left', 'right'], default='left') 144 | parser.add_argument('--pretrain_epochs', type=int, default=0) 145 | parser.add_argument('--truncation', type=int, default=-1) 146 | parser.add_argument('--max_len_train', type=int, default=-1) 147 | parser.add_argument('--max_new_tokens', type=int, default=800) 148 | parser.add_argument('--max_size', type=int, default=-1) 149 | parser.add_argument('--save_model', type=str, required=True) 150 | parser.add_argument('--from_pretrained', type=str, default=None) 151 | parser.add_argument('--remove_start_from', type=int, default=0) 152 | parser.add_argument('--seed', type=int, default=1234) 153 | parser.add_argument('--max_grad_norm', type=float, default=1.0) 154 | parser.add_argument('--bf16', action='store_true') 155 | parser.set_defaults(bf16=False) 156 | parser.add_argument('--reset_optimizer', action='store_true') 157 | parser.set_defaults(reset_optimizer=False) 158 | parser.add_argument('--keep_position', action='store_true') 159 | parser.set_defaults(keep_position=False) 160 | parser.add_argument('--reinitialize_weights', action='store_true') 161 | parser.set_defaults(reinitialize_weights=False) 162 | args = parser.parse_args() 163 | 164 | if args.remove_all_when_remove_beyond == 'inf': 165 | args.remove_all_when_remove_beyond = float('inf') 166 | else: 167 | args.remove_all_when_remove_beyond = int(args.remove_all_when_remove_beyond) 168 | print (args) 169 | random.seed(args.seed) 170 | torch.manual_seed(args.seed) 171 | lambda_distribution = compute_lambda_distribution(args.removal_smoothing_lambda) 172 | print (lambda_distribution.tolist()[:10]) 173 | 174 | dtype = 'float32' 175 | if args.bf16: 176 | dtype = 'bfloat16' 177 | ptdtype = {'float32': torch.float32, 'bfloat16': torch.bfloat16, 'float16': torch.float16}[dtype] 178 | device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') 179 | ctx = torch.amp.autocast(device_type='cuda', dtype=ptdtype) 180 | print (ptdtype, dtype, device) 181 | 182 | # Create model 183 | if args.from_pretrained is None: 184 | config = ImplicitModelConfig(base_model=args.model) 185 | model = ImplicitModel(config).to(device).to(ptdtype) 186 | else: 187 | print (f'Loading from {args.from_pretrained}') 188 | model = ImplicitModel.from_pretrained(args.from_pretrained).to(device).to(ptdtype) 189 | if 'gpt2' in args.model: 190 | old_length = model.base_model.transformer.wpe.weight.shape[0] 191 | if args.truncation > old_length and args.from_pretrained is None: 192 | #import pdb; pdb.set_trace() 193 | print ('EXPANDING POSITIONs') 194 | new_wpe = torch.nn.Embedding(args.truncation, model.base_model.transformer.wpe.weight.shape[-1]) 195 | new_wpe.weight.data[:old_length] = model.base_model.transformer.wpe.weight 196 | new_wpe.weight.data[old_length:] = model.base_model.transformer.wpe.weight[-1].view(1, -1).expand(args.truncation-old_length, -1) 197 | model.base_model.transformer.wpe = new_wpe 198 | 199 | for block in model.base_model.transformer.h: 200 | block.attn.register_buffer( 201 | "bias", 202 | torch.tril(torch.ones((args.truncation, args.truncation), dtype=torch.bool)).view( 203 | 1, 1, args.truncation, args.truncation 204 | ), 205 | persistent=False, 206 | ) 207 | model = model.to(device).to(ptdtype) 208 | tokenizer = model.tokenizer 209 | 210 | if args.reinitialize_weights: 211 | print ('reinitializing weights') 212 | model.base_model.apply(model.base_model._init_weights) 213 | 214 | if args.keep_position: 215 | assert 'gpt2' in args.model # only implemented for gpt2 generate TODO: the code for this is not checked in yet 216 | 217 | # Load data 218 | collate_fn = CoTDataCollator(tokenizer) 219 | train_dataset = CoTDataset(tokenizer, args.train_path, args.truncation, max_size=args.max_size) 220 | train_dataloader = DataLoader(train_dataset, batch_size=args.batch_size, collate_fn=collate_fn, shuffle=True) 221 | val_dataset = CoTDataset(tokenizer, args.val_path, args.truncation) 222 | val_dataloader = DataLoader(val_dataset, batch_size=args.batch_size, collate_fn=collate_fn, shuffle=False) 223 | if args.test_path: 224 | test_dataset = CoTDataset(tokenizer, args.test_path, args.truncation) 225 | test_dataloader = DataLoader(test_dataset, batch_size=args.batch_size, collate_fn=collate_fn, shuffle=False) 226 | 227 | # Create Optimizer 228 | trainable_params = list(model.parameters()) 229 | use_fused = 'fused' in inspect.signature(torch.optim.AdamW).parameters 230 | extra_args = dict(fused=True) if use_fused else dict() 231 | optimizer = torch.optim.AdamW(trainable_params, lr=args.lr, **extra_args) 232 | 233 | # Train 234 | step = 0 235 | scheduled_to_remove = 0 236 | if args.remove_start_from > 0: 237 | print (f'the number of removed CoT tokens starts from {args.remove_start_from}') 238 | scheduled_to_remove = args.remove_start_from 239 | 240 | position_ids = None 241 | 242 | steps_per_epoch = len(train_dataloader) 243 | steps_per_removed_token = int(round(steps_per_epoch / args.remove_per_epoch)) 244 | remove_step_counter = 0 245 | best_val_accuracy = float('-inf') 246 | 247 | all_cot_removed_in_prev_batch = False 248 | for epoch in range(args.epochs): 249 | if scheduled_to_remove < float('inf'): 250 | scheduled_to_remove = int(round(scheduled_to_remove)) 251 | if scheduled_to_remove >= args.remove_all_when_remove_beyond: 252 | scheduled_to_remove = float('inf') # remove all 253 | print(f"Epoch {epoch}. Scheduled to remove: {scheduled_to_remove}") 254 | model.train() 255 | for batch in tqdm.tqdm(train_dataloader): 256 | prev_scheduled_to_remove = scheduled_to_remove 257 | if remove_step_counter == steps_per_removed_token or steps_per_removed_token == 0: 258 | scheduled_to_remove += 1 259 | remove_step_counter = 0 260 | if epoch >= args.pretrain_epochs: 261 | remove_step_counter += 1 262 | if scheduled_to_remove > prev_scheduled_to_remove: 263 | print(f" -epoch {epoch}. step {step}. removing: {scheduled_to_remove}") 264 | if args.reset_optimizer and (not all_cot_removed_in_prev_batch): 265 | print ('RESETTING OPTIMIZER') 266 | optimizer.zero_grad(set_to_none=True) 267 | del optimizer 268 | optimizer = torch.optim.AdamW(trainable_params, lr=args.lr, **extra_args) 269 | if scheduled_to_remove >= args.remove_all_when_remove_beyond: 270 | scheduled_to_remove = float('inf') # remove all 271 | input_ids = batch['input_ids_all'].to(device) 272 | labels = batch['labels_all'].to(device) 273 | batch_size = input_ids.shape[0] 274 | 275 | first_sep_positions = get_sep_position(input_ids, tokenizer.eos_token_id) 276 | second_sep_positions = get_sep_position(input_ids, tokenizer.eos_token_id, skip=1) 277 | eos_positions = get_sep_position(input_ids, tokenizer.eos_token_id, skip=2) 278 | 279 | all_cot_removed_in_batch = False 280 | if scheduled_to_remove > 0 or args.removal_smoothing_lambda != float('inf'): 281 | input_ids_tmp = [] 282 | labels_tmp = [] 283 | random_removal_offset = torch.multinomial(lambda_distribution, batch_size, replacement=True).to(device) 284 | to_remove = scheduled_to_remove + random_removal_offset 285 | if epoch < args.pretrain_epochs: 286 | to_remove.fill_(args.remove_start_from) 287 | if args.keep_position: 288 | position_ids = torch.arange(0, input_ids.shape[-1], dtype=torch.long, device=device).unsqueeze(0).repeat(batch_size, 1) 289 | if args.removal_side == 'left': 290 | removal_from_positions = first_sep_positions + 1 # remove from, including 291 | removal_to_positions = first_sep_positions + 1 + to_remove # remove to, not including 292 | else: # removal_side == 'right' 293 | removal_to_positions = second_sep_positions 294 | removal_from_positions = second_sep_positions - to_remove 295 | 296 | all_cot_removed_in_batch = True 297 | for batch_id in range(input_ids.shape[0]): 298 | eos_position = eos_positions[batch_id] 299 | removal_from_position = removal_from_positions[batch_id] 300 | removal_to_position = removal_to_positions[batch_id] 301 | removal_from_position = max(removal_from_position, first_sep_positions[batch_id]+1) 302 | if removal_to_position < second_sep_positions[batch_id]: 303 | all_cot_removed_in_batch = False 304 | removal_to_position = min(removal_to_position, second_sep_positions[batch_id]) 305 | if args.keep_position: 306 | position_ids[batch_id, removal_from_position-1:] += removal_to_position-removal_from_position 307 | input_ids_tmp.append(torch.cat((input_ids[batch_id, :removal_from_position], input_ids[batch_id, removal_to_position:eos_position+1]), dim=-1)) 308 | labels_tmp.append(torch.cat((labels[batch_id, :removal_from_position], labels[batch_id, removal_to_position:eos_position+1]), dim=-1)) 309 | input_ids = batch_ids(input_ids_tmp, tokenizer.eos_token_id, device, input_ids.dtype) 310 | labels = batch_ids(labels_tmp, -100, device, input_ids.dtype) 311 | if not all_cot_removed_in_batch: 312 | best_val_accuracy = float('-inf') 313 | #print (input_ids.shape) 314 | all_cot_removed_in_prev_batch = all_cot_removed_in_batch 315 | if args.max_len_train > 0 and input_ids.shape[-1] > args.max_len_train: 316 | print ('skipped') 317 | continue 318 | 319 | with ctx: 320 | if args.keep_position: 321 | position_ids = position_ids[:, :input_ids.shape[-1]] 322 | outputs = model.compute_loss(input_ids=input_ids, labels=labels, position_ids=position_ids) 323 | loss = outputs.loss 324 | loss.div(args.accumulate).backward() 325 | if step % args.accumulate == 0: 326 | torch.nn.utils.clip_grad_norm_(trainable_params, args.max_grad_norm) 327 | optimizer.step() 328 | optimizer.zero_grad(set_to_none=True) 329 | 330 | if step % 100 == 0: 331 | token_accuracy = outputs.token_accuracy.item() 332 | ppl = loss.exp().item() 333 | print (f"Step: {step}. PPL: {ppl}. Token Accuracy: {token_accuracy}") 334 | step += 1 335 | print (f'Scheduled to remove: {scheduled_to_remove}') 336 | accuracy, token_accuracy, ppl = evaluate(val_dataloader, tokenizer, device, ctx, model, args.max_new_tokens, scheduled_to_remove, args.removal_side, args.removal_smoothing_lambda, lambda_distribution, keep_position=args.keep_position, disable_random_removal_offset=True) 337 | print (f'Disable Offset Val. PPL: {ppl}; Accuracy: {accuracy}; Token Accuracy: {token_accuracy}.') 338 | if accuracy > best_val_accuracy: 339 | print ('***best so far or removed more CoT tokens***') 340 | best_val_accuracy = accuracy 341 | if args.test_path: 342 | accuracy, token_accuracy, ppl = evaluate(test_dataloader, tokenizer, device, ctx, model, args.max_new_tokens, scheduled_to_remove, args.removal_side, args.removal_smoothing_lambda, lambda_distribution, keep_position=args.keep_position, disable_random_removal_offset=True) 343 | print (f'Test. PPL: {ppl}; Accuracy: {accuracy}; Token Accuracy: {token_accuracy}.') 344 | model.save_pretrained(os.path.join(args.save_model, f'checkpoint_{epoch}')) 345 | 346 | if __name__ == "__main__": 347 | main() 348 | -------------------------------------------------------------------------------- /src/utils.py: -------------------------------------------------------------------------------- 1 | import torch 2 | from transformers import StoppingCriteria, LogitsProcessor 3 | 4 | 5 | def save_model(model, tokenizer, model_dir): 6 | print ('saving', model_dir) 7 | os.makedirs(model_dir, exist_ok=True) 8 | model.save_pretrained(model_dir) 9 | tokenizer.save_pretrained(model_dir) 10 | 11 | 12 | def batch_ids(input_ids_list, pad_token_id, device, dtype): 13 | max_seq_len = max([len(item) for item in input_ids_list]) 14 | batch_size = len(input_ids_list) 15 | input_ids = torch.Tensor(batch_size, max_seq_len).to(dtype).to(device) 16 | input_ids.fill_(pad_token_id) 17 | for batch_id in range(batch_size): 18 | input_ids[batch_id, :len(input_ids_list[batch_id])] = input_ids_list[batch_id] 19 | return input_ids 20 | 21 | 22 | def get_sep_position(input_ids, sep_id, skip=0): 23 | batch_size = input_ids.shape[0] 24 | sep_positions = input_ids.new_zeros(batch_size).long() 25 | for batch_id in range(batch_size): 26 | mask = input_ids[batch_id].eq(sep_id) 27 | sep_position = mask.nonzero()[0, -1].item() 28 | for _ in range(skip): 29 | mask[sep_position] = False 30 | sep_position = mask.nonzero()[0, -1].item() 31 | sep_positions[batch_id] = sep_position 32 | return sep_positions 33 | 34 | 35 | # Stop generation only after generating two EOSs, such as z y 36 | class DoubleEOSStoppingCriteria(StoppingCriteria): 37 | def __init__(self, eos_token_id): 38 | super().__init__() 39 | self.eos_token_id_ = eos_token_id 40 | self.init = False 41 | 42 | def __call__(self, input_ids: torch.LongTensor, scores: torch.FloatTensor): 43 | eos_count = (input_ids == self.eos_token_id_).sum(dim=-1) 44 | if not self.init: 45 | self.init = True 46 | self.eos_count_init = eos_count 47 | done = (eos_count - self.eos_count_init) >= 2 48 | return done.all() 49 | 50 | class DoubleEOSLogitsProcessor(LogitsProcessor): 51 | def __init__(self, eos_token_id): 52 | super().__init__() 53 | self.eos_token_id_ = eos_token_id 54 | self.init = False 55 | 56 | def __call__(self, input_ids, scores): 57 | eos_count = (input_ids == self.eos_token_id_).sum(dim=-1) 58 | if not self.init: 59 | self.init = True 60 | self.eos_count_init = eos_count 61 | done = (eos_count - self.eos_count_init) >= 2 62 | if done.any(): 63 | scores[done, :] = float('-inf') 64 | scores[done, self.eos_token_id_] = 0 65 | return scores 66 | --------------------------------------------------------------------------------