diff --git a/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/config.json b/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/config.json deleted file mode 100644 index 424c56db43fd50dd677a438fbcc7fe52824159a7..0000000000000000000000000000000000000000 --- a/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/config.json +++ /dev/null @@ -1,66 +0,0 @@ -{ - "architectures": [ - "Qwen3NextForCausalLM" - ], - "attention_bias": true, - "attention_dropout": 0.0, - "attn_output_gate": false, - "auto_map": { - "AutoConfig": "configuration_qwen3_next.Qwen3NextConfig", - "AutoModel": "modeling_qwen3_next.Qwen3NextForCausalLM", - "AutoModelForCausalLM": "modeling_qwen3_next.Qwen3NextForCausalLM" - }, - "bos_token_id": 1, - "decoder_sparse_step": 1, - "dtype": "float32", - "enable_qk_norm": false, - "eos_token_id": 2, - "full_attention_interval": 0, - "head_dim": 64, - "hidden_act": "silu", - "hidden_size": 1920, - "initializer_range": 0.02, - "intermediate_size": 4800, - "layer_types": ["linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "full_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "full_attention", "full_attention", "linear_attention", "full_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "full_attention", "linear_attention", "full_attention", "full_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention", "linear_attention"], - "linear_conv_kernel_dim": 4, - "linear_key_head_dim": 64, - "linear_num_key_heads": 8, - "linear_num_value_heads": 32, - "linear_value_head_dim": 64, - "max_position_embeddings": 32768, - "mlp_only_layers": [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55], - "num_experts_per_tok": 2, - "num_experts": 0, - "model_type": "qwen3_next", - "moe_intermediate_size": 0, - "norm_topk_prob": true, - "num_attention_heads": 30, - "num_hidden_layers": 56, - "num_key_value_heads": 6, - "output_router_logits": false, - "partial_rotary_factor": 1.0, - "rms_norm_eps": 1e-06, - "rope_scaling": null, - "rope_theta": 490000, - "router_aux_loss_coef": 0.001, - "router_bias": false, - "moe_router_score_function": "softmax", - "shared_expert_intermediate_size": 0, - "use_shared_expert_gate": true, - "tie_word_embeddings": false, - "transformers_version": "4.57.1", - "use_cache": true, - "use_sliding_window": false, - "ffn_token_shift": null, - "ffn_intermediate_token_shift": null, - "attn_token_shift": null, - "attn_q_token_shift": null, - "attn_k_token_shift": null, - "attn_v_token_shift": null, - "token_shift_conv_size": 4, - "token_shift_conv_init": "default", - "attn_position_embedding_type": "rope", - "rnn_position_embedding_type": "nope", - "attn_logits_scaling": null, - "vocab_size": 99000 -} \ No newline at end of file diff --git a/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/configuration_qwen3_next.py b/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/configuration_qwen3_next.py deleted file mode 100644 index 7f41fdfa8d7f284394825ebb29537c2b902a5304..0000000000000000000000000000000000000000 --- a/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/configuration_qwen3_next.py +++ /dev/null @@ -1,329 +0,0 @@ -# coding=utf-8 -# Copyright 2025 The Qwen team, Alibaba Group and the HuggingFace Inc. team. All rights reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -"""Qwen3-Next model configuration""" - -from transformers.configuration_utils import PretrainedConfig, layer_type_validation -from transformers.modeling_rope_utils import rope_config_validation -from transformers.utils import logging - - -logger = logging.get_logger(__name__) - - -class Qwen3NextConfig(PretrainedConfig): - r""" - This is the configuration class to store the configuration of a [`Qwen3NextModel`]. It is used to instantiate a - Qwen3-Next model according to the specified arguments, defining the model architecture. - Instantiating a configuration with the defaults will yield a similar configuration to that of - Qwen3-Next-80B-A3B-Instruct [Qwen/Qwen3-Next-80B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct). - - Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the - documentation from [`PretrainedConfig`] for more information. - - - Args: - vocab_size (`int`, *optional*, defaults to 151936): - Vocabulary size of the model. Defines the number of different tokens that can be represented by the - `inputs_ids`. - hidden_size (`int`, *optional*, defaults to 2048): - Dimension of the hidden representations. - intermediate_size (`int`, *optional*, defaults to 5632): - Dimension of the MLP representations. - num_hidden_layers (`int`, *optional*, defaults to 48): - Number of hidden layers in the Transformer encoder. - num_attention_heads (`int`, *optional*, defaults to 16): - Number of attention heads for each attention layer in the Transformer encoder. - num_key_value_heads (`int`, *optional*, defaults to 2): - This is the number of key_value heads that should be used to implement Grouped Query Attention. If - `num_key_value_heads=num_attention_heads`, the model will use Multi Head Attention (MHA), if - `num_key_value_heads=1` the model will use Multi Query Attention (MQA) otherwise GQA is used. When - converting a multi-head checkpoint to a GQA checkpoint, each group key and value head should be constructed - by meanpooling all the original heads within that group. For more details checkout [this - paper](https://arxiv.org/pdf/2305.13245.pdf). If it is not specified, will default to `32`. - hidden_act (`str`, *optional*, defaults to `"silu"`): - The non-linear activation function in the decoder. - max_position_embeddings (`int`, *optional*, defaults to 32768): - The maximum sequence length that this model might ever be used with. - initializer_range (`float`, *optional*, defaults to 0.02): - The standard deviation of the truncated_normal_initializer for initializing all weight matrices. - rms_norm_eps (`float`, *optional*, defaults to 1e-06): - The epsilon used by the rms normalization layers. - use_cache (`bool`, *optional*, defaults to `True`): - Whether or not the model should return the last key/values attentions (not used by all models). Only - relevant if `config.is_decoder=True`. - tie_word_embeddings (`bool`, *optional*, defaults to `False`): - Whether the model's input and output word embeddings should be tied. - rope_theta (`float`, *optional*, defaults to 10000.0): - The base period of the RoPE embeddings. - rope_scaling (`Dict`, *optional*): - Dictionary containing the scaling configuration for the RoPE embeddings. NOTE: if you apply new rope type - and you expect the model to work on longer `max_position_embeddings`, we recommend you to update this value - accordingly. - Expected contents: - `rope_type` (`str`): - The sub-variant of RoPE to use. Can be one of ['default', 'linear', 'dynamic', 'yarn', 'longrope', - 'llama3'], with 'default' being the original RoPE implementation. - `factor` (`float`, *optional*): - Used with all rope types except 'default'. The scaling factor to apply to the RoPE embeddings. In - most scaling types, a `factor` of x will enable the model to handle sequences of length x * - original maximum pre-trained length. - `original_max_position_embeddings` (`int`, *optional*): - Used with 'dynamic', 'longrope' and 'llama3'. The original max position embeddings used during - pretraining. - `attention_factor` (`float`, *optional*): - Used with 'yarn' and 'longrope'. The scaling factor to be applied on the attention - computation. If unspecified, it defaults to value recommended by the implementation, using the - `factor` field to infer the suggested value. - `beta_fast` (`float`, *optional*): - Only used with 'yarn'. Parameter to set the boundary for extrapolation (only) in the linear - ramp function. If unspecified, it defaults to 32. - `beta_slow` (`float`, *optional*): - Only used with 'yarn'. Parameter to set the boundary for interpolation (only) in the linear - ramp function. If unspecified, it defaults to 1. - `short_factor` (`List[float]`, *optional*): - Only used with 'longrope'. The scaling factor to be applied to short contexts (< - `original_max_position_embeddings`). Must be a list of numbers with the same length as the hidden - size divided by the number of attention heads divided by 2 - `long_factor` (`List[float]`, *optional*): - Only used with 'longrope'. The scaling factor to be applied to long contexts (< - `original_max_position_embeddings`). Must be a list of numbers with the same length as the hidden - size divided by the number of attention heads divided by 2 - `low_freq_factor` (`float`, *optional*): - Only used with 'llama3'. Scaling factor applied to low frequency components of the RoPE - `high_freq_factor` (`float`, *optional*): - Only used with 'llama3'. Scaling factor applied to high frequency components of the RoPE - partial_rotary_factor (`float`, *optional*, defaults to 0.25): - Percentage of the query and keys which will have rotary embedding. - attention_bias (`bool`, *optional*, defaults to `False`): - Whether to use a bias in the query, key, value and output projection layers during self-attention. - attention_dropout (`float`, *optional*, defaults to 0.0): - The dropout ratio for the attention probabilities. - head_dim (`int`, *optional*, defaults to 256): - Projection weights dimension in multi-head attention. - linear_conv_kernel_dim (`int`, *optional*, defaults to 4): - Kernel size of the convolution used in linear attention layers. - linear_key_head_dim (`int`, *optional*, defaults to 128): - Dimension of each key head in linear attention. - linear_value_head_dim (`int`, *optional*, defaults to 128): - Dimension of each value head in linear attention. - linear_num_key_heads (`int`, *optional*, defaults to 16): - Number of key heads used in linear attention layers. - linear_num_value_heads (`int`, *optional*, defaults to 32): - Number of value heads used in linear attention layers. - decoder_sparse_step (`int`, *optional*, defaults to 1): - The frequency of the MoE layer. - moe_intermediate_size (`int`, *optional*, defaults to 512): - Intermediate size of the routed expert. - shared_expert_intermediate_size (`int`, *optional*, defaults to 512): - Intermediate size of the shared expert. - num_experts_per_tok (`int`, *optional*, defaults to 10): - Number of selected experts. - num_experts (`int`, *optional*, defaults to 512): - Number of routed experts. - norm_topk_prob (`bool`, *optional*, defaults to `True`): - Whether to normalize the topk probabilities. - output_router_logits (`bool`, *optional*, defaults to `False`): - Whether or not the router logits should be returned by the model. Enabling this will also - allow the model to output the auxiliary loss, including load balancing loss and router z-loss. - router_aux_loss_coef (`float`, *optional*, defaults to 0.001): - The aux loss factor for the total loss. - mlp_only_layers (`list[int]`, *optional*, defaults to `[]`): - Indicate which layers use Qwen3NextMLP rather than Qwen3NextSparseMoeBlock - The list contains layer index, from 0 to num_layers-1 if we have num_layers layers - If `mlp_only_layers` is empty, `decoder_sparse_step` is used to determine the sparsity. - layer_types (`list[str]`, *optional*): - Types of each layer (attention or linear). - enable_qk_norm (`bool`, *optional*, defaults to `False`): - Whether to apply L2 normalization to the query and key embeddings. - router_bias (`bool`, *optional*, defaults to `False`): - Whether to use a bias in the router logits. - moe_router_score_function (`str`, *optional*, defaults to `"softmax"`): - The score function used in the MoE router. - ffn_token_shift (`str`, *optional*): Token shift before FFN/MoE. `None`, `"cat"`, or `"conv"`. - ffn_intermediate_token_shift (`str`, *optional*): Token shift in MLP before down_proj. `None`, `"cat"`, or `"conv"`. - attn_token_shift (`str`, *optional*): Token shift before attention. `None`, `"cat"`, or `"conv"`. - attn_q_token_shift (`str`, *optional*): Token shift on query after projection. `None`, `"cat"`, or `"conv"`. - attn_k_token_shift (`str`, *optional*): Token shift on key after projection. `None`, `"cat"`, or `"conv"`. - attn_v_token_shift (`str`, *optional*): Token shift on value after projection. `None`, `"cat"`, or `"conv"`. - token_shift_conv_size (`int`, *optional*, defaults to 4): Kernel size for token-shift Conv1d. - token_shift_conv_init (`str`, *optional*, defaults to `"default"`): Init for token-shift Conv1d; `"identity"` for causal identity. - ```python - >>> from transformers import Qwen3NextModel, Qwen3NextConfig - - >>> # Initializing a Qwen3Next style configuration - >>> configuration = Qwen3NextConfig() - - >>> # Initializing a model from the Qwen3-Next-80B-A3B style configuration - >>> model = Qwen3NextModel(configuration) - - >>> # Accessing the model configuration - >>> configuration = model.config - ``` - """ - - model_type = "qwen3_next" - keys_to_ignore_at_inference = ["past_key_values"] - - base_model_tp_plan = { - "layers.*.self_attn.q_proj": "colwise", - "layers.*.self_attn.k_proj": "colwise", - "layers.*.self_attn.v_proj": "colwise", - "layers.*.self_attn.o_proj": "rowwise", - "layers.*.mlp.experts.*.gate_proj": "colwise", - "layers.*.mlp.experts.*.up_proj": "colwise", - "layers.*.mlp.experts.*.down_proj": "rowwise", - "layers.*.mlp.shared_experts.gate_proj": "colwise", - "layers.*.mlp.shared_experts.up_proj": "colwise", - "layers.*.mlp.shared_experts.down_proj": "rowwise", - "layers.*.mlp.gate_proj": "colwise", - "layers.*.mlp.up_proj": "colwise", - "layers.*.mlp.down_proj": "rowwise", - } - base_model_pp_plan = { - "embed_tokens": (["input_ids"], ["inputs_embeds"]), - "layers": (["hidden_states", "attention_mask"], ["hidden_states"]), - "norm": (["hidden_states"], ["hidden_states"]), - } - - def __init__( - self, - vocab_size=151936, - hidden_size=2048, - intermediate_size=5632, - num_hidden_layers=48, - num_attention_heads=16, - num_key_value_heads=2, - hidden_act="silu", - max_position_embeddings=32768, - initializer_range=0.02, - rms_norm_eps=1e-6, - use_cache=True, - tie_word_embeddings=False, - rope_theta=10000.0, - rope_scaling=None, - partial_rotary_factor=0.25, - attention_bias=False, - attention_dropout=0.0, - head_dim=256, - linear_conv_kernel_dim=4, - linear_key_head_dim=128, - linear_value_head_dim=128, - linear_num_key_heads=16, - linear_num_value_heads=32, - decoder_sparse_step=1, - moe_intermediate_size=512, - shared_expert_intermediate_size=512, - num_experts_per_tok=10, - num_experts=512, - norm_topk_prob=True, - output_router_logits=False, - router_aux_loss_coef=0.001, - mlp_only_layers=[], - layer_types=None, - enable_qk_norm=False, # @o2iginal - router_bias=False, # @o2iginal - attn_output_gate=False, # @o2iginal - moe_router_score_function="softmax", # @xcx - # Cannon layer / token shifting (align with Megatron) @o2iginal - ffn_token_shift=None, - ffn_intermediate_token_shift=None, - attn_token_shift=None, - attn_q_token_shift=None, - attn_k_token_shift=None, - attn_v_token_shift=None, - token_shift_conv_size=4, - token_shift_conv_init="default", - # Separate RoPE for attention vs linear/RNN (GDN): "rope" or "nope" - attn_position_embedding_type="rope", - rnn_position_embedding_type="nope", - # Optional logits scaling for length extrapolation (attention only): None, float, or "log" / "log " - attn_logits_scaling=None, - **kwargs, - ): - super().__init__(tie_word_embeddings=tie_word_embeddings, **kwargs) - assert attn_position_embedding_type in ("rope", "nope"), ( - f"attn_position_embedding_type must be 'rope' or 'nope', got {attn_position_embedding_type}" - ) - assert rnn_position_embedding_type in ("rope", "nope"), ( - f"rnn_position_embedding_type must be 'rope' or 'nope', got {rnn_position_embedding_type}" - ) - self.attn_position_embedding_type = attn_position_embedding_type - self.rnn_position_embedding_type = rnn_position_embedding_type - self.attn_logits_scaling = attn_logits_scaling - self.vocab_size = vocab_size - self.max_position_embeddings = max_position_embeddings - self.hidden_size = hidden_size - self.intermediate_size = intermediate_size - self.num_hidden_layers = num_hidden_layers - self.num_attention_heads = num_attention_heads - self.num_key_value_heads = num_key_value_heads - self.hidden_act = hidden_act - self.initializer_range = initializer_range - self.rms_norm_eps = rms_norm_eps - self.use_cache = use_cache - self.rope_theta = rope_theta - self.rope_scaling = rope_scaling - self.partial_rotary_factor = partial_rotary_factor - self.attention_bias = attention_bias - self.attention_dropout = attention_dropout - self.head_dim = head_dim - rope_config_validation(self) - - self.layer_types = layer_types - if self.layer_types is None: - interval_pattern = kwargs.get("full_attention_interval", 4) - self.layer_types = [ - "linear_attention" if bool((i + 1) % interval_pattern) else "full_attention" - for i in range(self.num_hidden_layers) - ] - layer_type_validation(self.layer_types) - - # linear attention part - self.linear_conv_kernel_dim = linear_conv_kernel_dim - self.linear_key_head_dim = linear_key_head_dim - self.linear_value_head_dim = linear_value_head_dim - self.linear_num_key_heads = linear_num_key_heads - self.linear_num_value_heads = linear_num_value_heads - - # MoE arguments - self.decoder_sparse_step = decoder_sparse_step - self.moe_intermediate_size = moe_intermediate_size - self.shared_expert_intermediate_size = shared_expert_intermediate_size - self.num_experts_per_tok = num_experts_per_tok - self.num_experts = num_experts - self.norm_topk_prob = norm_topk_prob - self.output_router_logits = output_router_logits - self.router_aux_loss_coef = router_aux_loss_coef - self.mlp_only_layers = mlp_only_layers - self.enable_qk_norm = enable_qk_norm - self.router_bias = router_bias - self.attn_output_gate = attn_output_gate - self.moe_router_score_function = moe_router_score_function - self.enable_qk_norm = enable_qk_norm - self.router_bias = router_bias - self.attn_output_gate = attn_output_gate - self.moe_router_score_function = moe_router_score_function - - # Token shifting (cannon layer): None | "cat" | "conv" - self.ffn_token_shift = ffn_token_shift - self.ffn_intermediate_token_shift = ffn_intermediate_token_shift - self.attn_token_shift = attn_token_shift - self.attn_q_token_shift = attn_q_token_shift - self.attn_k_token_shift = attn_k_token_shift - self.attn_v_token_shift = attn_v_token_shift - self.token_shift_conv_size = token_shift_conv_size - self.token_shift_conv_init = token_shift_conv_init - -__all__ = ["Qwen3NextConfig"] diff --git a/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/hf2mcore.log b/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/hf2mcore.log deleted file mode 100644 index ade7dec2973025c61bf98e7d153e30cd368c88e1..0000000000000000000000000000000000000000 --- a/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/hf2mcore.log +++ /dev/null @@ -1,1277 +0,0 @@ -torchrun --nproc_per_node 1 --nnodes 1 --node_rank 0 --master_addr localhost --master_port 42639 /mnt/ssd/lvzhihao/PostTrain/YuLan-Pretrain/scripts/distributed_checkpoints_convertor/impl/convert.py --tokenizer-type HuggingFaceTokenizer --tokenizer-model /mnt/ssd/cache_tmp/tmp/tmp.9kVbw0fz8t --hf-dir /mnt/ssd/cache_tmp/tmp/tmp.9kVbw0fz8t --mcore2hf --use-gpu --bf16 --normalization RMSNorm --swiglu --disable-bias-linear --seq-length 1 --max-position-embeddings 490000 --attention-backend auto --position-embedding-type rope --kv-channels 64 --group-query-attention --add-qkv-bias --num-layers 56 --hidden-size 1920 --ffn-hidden-size 4800 --num-attention-heads 30 --untie-embeddings-and-output-weights --rotary-base 490000 --rotary-percent 1.00 --num-query-groups 6 --normalization RMSNorm --norm-epsilon 1e-6 --linear-attention-type gated_delta_net --linear-attention-freq [1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,0,0,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,0,0,1,1,1,1,1,1] --linear-conv-kernel-dim 4 --linear-key-head-dim 64 --linear-value-head-dim 64 --linear-num-key-heads 8 --linear-num-value-heads 32 --micro-batch-size 1 --global-batch-size 1024 --train-iters 500000 --weight-decay 0.1 --adam-beta1 0.9 --adam-beta2 0.95 --init-method-std 0.006 --clip-grad 1.0 --lr 2.0e-5 --lr-decay-style cosine --min-lr 6.0e-6 --lr-warmup-fraction .001 --lr-decay-iters 430000 --bf16 --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --expert-tensor-parallel-size 1 --expert-model-parallel-size 1 --log-interval 100 --save-interval 10000 --eval-interval 1000 --eval-iters 10 --model-type GPT --load-dir /mnt/hdd/lvzhihao/mcore_models/grid_search_0318/checkpoint/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50 --save-dir /mnt/hdd/lvzhihao/mcore_models/grid_search_0318/checkpoint/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/iter_953-hf --dist-ckpt-optim-fully-reshardable --skip-train --use-cpu-initialization --padded-vocab-size 99000 --no-load-optim --no-load-rng --logging-level 1 --attention-backend auto --synchronizer mcore_gdn_moe --pretrain-script mcore_gdn_moe.model_provider --debug --max-shard-size 20GB -W0320 09:19:34.443000 3250 .venv/lib/python3.10/site-packages/torch/utils/cpp_extension.py:2425] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation. -W0320 09:19:34.443000 3250 .venv/lib/python3.10/site-packages/torch/utils/cpp_extension.py:2425] If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'] to specific architectures. -fused_indices_to_multihot has reached end of life. Please migrate to a non-experimental function. -Current Python version 3.10 is below the recommended 3.11 version. It is recommended to upgrade to Python 3.11 or higher for the best experience. -Warning: Pai-Megatron-Patch arguments not available, some arguments may not be recognized -using world size: 1, data-parallel size: 1, context-parallel size: 1, hierarchical context-parallel sizes: None, tensor-model-parallel size: 1, pipeline-model-parallel size: 1 -Number of virtual stages per pipeline stage: None -accumulate and all-reduce gradients in fp32 for bfloat16 data type. -using torch.bfloat16 for parameters ... ------------------------- arguments ------------------------ - account_for_embedding_in_pipeline_split ......... False - account_for_loss_in_pipeline_split .............. False - accumulate_allreduce_grads_in_fp32 .............. True - activation_func_clamp_value ..................... None - adam_beta1 ...................................... 0.9 - adam_beta2 ...................................... 0.95 - adam_eps ........................................ 1e-08 - adamw_lr_mup_scaler ............................. False - add_bias_linear ................................. False - add_position_embedding .......................... True - add_qkv_bias .................................... True - adlr_autoresume ................................. False - adlr_autoresume_interval ........................ 1000 - align_grad_reduce ............................... True - align_param_gather .............................. False - allow_ambiguous_pad_tokens ...................... False - app_tag_run_name ................................ None - app_tag_run_version ............................. 0.0.0 - apply_layernorm_1p .............................. False - apply_query_key_layer_scaling ................... False - apply_residual_connection_post_layernorm ........ False - apply_rope_fusion ............................... True - async_save ...................................... None - async_tensor_model_parallel_allreduce ........... True - attention_backend ............................... AttnBackend.auto - attention_dropout ............................... 0.1 - attention_output_gate ........................... False - attention_softmax_in_fp32 ....................... False - attn_k_token_shift .............................. None - attn_output_gate ................................ None - attn_output_gate_rand_init ...................... False - attn_q_token_shift .............................. None - attn_token_shift ................................ None - attn_v_token_shift .............................. None - auto_detect_ckpt_format ......................... False - auto_generate_cu_seqlens ........................ False - auto_model ...................................... AutoModelForCausalLM - barrier_with_L1_time ............................ True - benchmark_eval .................................. False - benchmark_global_batch .......................... None - benchmark_interval .............................. None - benchmark_micro_batch ........................... None - benchmark_sequence_length ....................... None - benchmark_tasks ................................. None - bert_binary_head ................................ True - bert_embedder_type .............................. megatron - bert_load ....................................... None - bf16 ............................................ True - bias_dropout_fusion ............................. True - bias_gelu_fusion ................................ False - bias_swiglu_fusion .............................. True - biencoder_projection_dim ........................ 0 - biencoder_shared_query_context_model ............ False - block_data_path ................................. None - cache_mla_latents ............................... False - calc_ft_timeouts ................................ False - calculate_per_token_loss ........................ False - check_for_large_grads ........................... False - check_for_nan_in_loss_and_grad .................. True - check_for_spiky_loss ............................ False - check_weight_hash_across_dp_replicas_interval ... None - ckpt_assume_constant_structure .................. False - ckpt_convert_format ............................. None - ckpt_convert_save ............................... None - ckpt_convert_update_legacy_dist_opt_format ...... False - ckpt_format ..................................... torch_dist - ckpt_fully_parallel_load ........................ False - ckpt_fully_parallel_save ........................ True - ckpt_fully_parallel_save_deprecated ............. False - ckpt_step ....................................... None - classes_fraction ................................ 1.0 - clip_grad ....................................... 1.0 - clone_scatter_output_in_embedding ............... True - config_logger_dir ............................... - consumed_train_samples .......................... 0 - consumed_valid_samples .......................... 0 - context_parallel_size ........................... 1 - cp_comm_type .................................... ['p2p'] - create_attention_mask_in_dataloader ............. True - cross_entropy_fusion_impl ....................... native - cross_entropy_loss_fusion ....................... False - cuda_graph_impl ................................. none - cuda_graph_scope ................................ [] - cuda_graph_warmup_steps ......................... 3 - data_args_path .................................. None - data_cache_path ................................. None - data_parallel_random_init ....................... False - data_parallel_sharding_strategy ................. no_shard - data_parallel_size .............................. 1 - data_path ....................................... None - data_per_class_fraction ......................... 1.0 - data_sharding ................................... True - dataloader_type ................................. single - ddp_average_in_collective ....................... False - ddp_bucket_size ................................. None - ddp_num_buckets ................................. None - ddp_pad_buckets_for_high_nccl_busbw ............. False - debug ........................................... True - decode_only_cuda_graphs ......................... False - decoder_first_pipeline_num_layers ............... None - decoder_last_pipeline_num_layers ................ None - decoder_num_layers .............................. None - decoder_seq_length .............................. None - decoupled_lr .................................... None - decoupled_min_lr ................................ None - decrease_batch_size_if_needed ................... False - defer_embedding_wgrad_compute ................... False - delay_wgrad_compute ............................. False - deprecated_use_mcore_models ..................... False - deterministic_mode .............................. False - dino_bottleneck_size ............................ 256 - dino_freeze_last_layer .......................... 1 - dino_head_hidden_size ........................... 2048 - dino_local_crops_number ......................... 10 - dino_local_img_size ............................. 96 - dino_norm_last_layer ............................ False - dino_teacher_temp ............................... 0.07 - dino_warmup_teacher_temp ........................ 0.04 - dino_warmup_teacher_temp_epochs ................. 30 - disable_attn_output_gate ........................ False - disable_bf16_reduced_precision_matmul ........... False - disable_chunked_prefill ......................... False - disable_explicit_attention_mask ................. False - disable_mamba_mem_eff_path ...................... False - disable_straggler_on_startup .................... False - disable_symmetric_registration .................. False - dist_ckpt_format_deprecated ..................... None - dist_ckpt_optim_fully_reshardable ............... True - dist_ckpt_save_pre_mcore_014 .................... False - dist_ckpt_strictness ............................ assume_ok_unexpected - distrib_optim_fully_reshardable_mem_efficient ... False - distribute_saved_activations .................... False - distributed_backend ............................. nccl - distributed_timeout_minutes ..................... 10 - distributed_timeout_seconds_after_init .......... None - document_packing_algorithm ...................... random - dryrun .......................................... False - dump_param_to_param_group_map ................... None - emb_deviation_loss_coeff ........................ 0 - emb_deviation_type .............................. None - embedding_init_method_std ....................... None - embedding_path .................................. None - empty_unused_memory_level ....................... 0 - enable_cuda_graph ............................... False - enable_debug_logging ............................ False - enable_experimental ............................. False - enable_ft_package ............................... False - enable_full_sharding_in_hsdp .................... False - enable_gloo_process_groups ...................... True - enable_msc ...................................... True - enable_one_logger ............................... True - encoder_num_layers .............................. 56 - encoder_seq_length .............................. 1 - end_weight_decay ................................ 0.1 - eod_mask_loss ................................... False - error_injection_rate ............................ 0 - error_injection_type ............................ transient_error - eval_interval ................................... 1000 - eval_iters ...................................... 10 - evidence_data_path .............................. None - exit_duration_in_mins ........................... None - exit_interval ................................... None - exit_on_missing_checkpoint ...................... False - exit_signal_handler ............................. False - exp_avg_dtype ................................... torch.float32 - exp_avg_sq_dtype ................................ torch.float32 - expert_model_parallel_size ...................... 1 - expert_tensor_parallel_size ..................... 1 - external_cuda_graph ............................. False - ffn_hidden_size ................................. 4800 - ffn_intermediate_token_shift .................... None - ffn_token_shift ................................. None - fine_grained_activation_offloading .............. False - finetune ........................................ False - first_last_layers_bf16 .......................... False - flash_decode .................................... False - fp16 ............................................ False - fp16_lm_cross_entropy ........................... False - fp32_residual_connection ........................ False - fp4 ............................................. None - fp4_param ....................................... False - fp4_recipe ...................................... nvfp4 - fp8 ............................................. None - fp8_amax_compute_algo ........................... most_recent - fp8_amax_history_len ............................ 1 - fp8_interval .................................... 1 - fp8_margin ...................................... 0 - fp8_param_gather ................................ False - fp8_recipe ...................................... delayed - fp8_wgrad ....................................... True - freeze_layernorm_weight ......................... False - freeze_non_mamba ................................ False - fsdp_double_buffer .............................. False - full_validation ................................. False - gdn_cp_impl ..................................... cp2hp - geglu ........................................... False - global_batch_size ............................... 1024 - glu_linear_offset ............................... 0.0 - grad_reduce_in_bf16 ............................. False - gradient_accumulation_fusion .................... True - gradient_reduce_div_fusion ...................... True - group_query_attention ........................... True - grpo_clamp_eps_lower ............................ 0.01 - grpo_clamp_eps_upper ............................ 0.01 - grpo_default_temperature ........................ 1.0 - grpo_default_top_p .............................. 0 - grpo_entropy_term_weight ........................ 0.0 - grpo_filter_groups_with_same_reward ............. False - grpo_group_size ................................. 2 - grpo_iterations ................................. 2 - grpo_kl_beta .................................... 0.001 - grpo_prompts_per_step ........................... 32 - head_lr_mult .................................... 1.0 - heterogeneous_layers_config_encoded_json ........ None - heterogeneous_layers_config_path ................ None - hf_dir .......................................... /mnt/ssd/cache_tmp/tmp/tmp.9kVbw0fz8t - hidden_dropout .................................. 0.1 - hidden_size ..................................... 1920 - hierarchical_context_parallel_sizes ............. None - high_priority_stream_groups ..................... [] - hybrid_attention_ratio .......................... 0.0 - hybrid_context_parallel ......................... False - hybrid_mlp_ratio ................................ 0.0 - hybrid_override_pattern ......................... None - hysteresis ...................................... 2 - ict_head_size ................................... None - ict_load ........................................ None - img_h ........................................... 224 - img_w ........................................... 224 - increase_log_level_interval ..................... 1000 - increase_log_level_iters ........................ 5 - indexer_batch_size .............................. 128 - indexer_log_interval ............................ 1000 - inference_batch_times_seqlen_threshold .......... -1 - inference_dynamic_batching ...................... False - inference_dynamic_batching_block_size ........... 256 - inference_dynamic_batching_buffer_guaranteed_fraction 0.2 - inference_dynamic_batching_buffer_overflow_factor None - inference_dynamic_batching_buffer_size_gb ....... 40.0 - inference_dynamic_batching_max_requests_override None - inference_dynamic_batching_max_tokens_override .. None - inference_dynamic_batching_num_cuda_graphs ...... 16 - inference_dynamic_batching_track_paused_request_events False - inference_dynamic_batching_unified_memory_level . 0 - inference_max_batch_size ........................ 8 - inference_max_seq_length ........................ 2560 - inference_rng_tracker ........................... False - init_method_std ................................. 0.006 - init_method_xavier_uniform ...................... False - init_model_with_meta_device ..................... False - initial_loss_scale .............................. 4294967296 - inprocess_active_world_size ..................... 1 - inprocess_barrier_timeout ....................... 120 - inprocess_completion_timeout .................... 120 - inprocess_empty_cuda_cache ...................... False - inprocess_granularity ........................... node - inprocess_hard_timeout .......................... 90 - inprocess_heartbeat_interval .................... 30 - inprocess_heartbeat_timeout ..................... 60 - inprocess_last_call_wait ........................ 1 - inprocess_max_iterations ........................ None - inprocess_monitor_process_interval .............. 1.0 - inprocess_monitor_thread_interval ............... 1.0 - inprocess_progress_watchdog_interval ............ 1.0 - inprocess_restart ............................... False - inprocess_soft_timeout .......................... 60 - inprocess_termination_grace_time ................ 1 - is_hybrid_model ................................. False - iter_per_epoch .................................. 1250 - iterations_to_skip .............................. [] - keep_fp8_transpose_cache ........................ False - kitchen_config_file ............................. None - kitchen_recipe_number ........................... None - kv_channels ..................................... 64 - kv_lora_rank .................................... 32 - langrl_env_config ............................... None - langrl_external_server .......................... False - langrl_inference_server_conversation_template ... None - langrl_inference_server_type .................... inplace_megatron - lazy_mpu_init ................................... None - legacy_tokenizer ................................ False - linear_attention_freq ........................... [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1] - linear_attention_type ........................... gated_delta_net - linear_conv_kernel_dim .......................... 4 - linear_key_head_dim ............................. 64 - linear_num_key_heads ............................ 8 - linear_num_value_heads .......................... 32 - linear_value_head_dim ........................... 64 - load ............................................ None - load_complemental_dataset ....................... None - load_dir ........................................ /mnt/hdd/lvzhihao/mcore_models/grid_search_0318/checkpoint/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50 - load_main_params_from_ckpt ...................... None - local_rank ...................................... 0 - log_energy ...................................... False - log_hidden_states ............................... [] - log_interval .................................... 100 - log_loss_scale_to_tensorboard ................... True - log_memory_to_tensorboard ....................... False - log_num_zeros_in_grad ........................... False - log_params ...................................... [] - log_params_norm ................................. False - log_per_module_grad_rms ......................... False - log_per_module_update_rms ....................... False - log_progress .................................... False - log_straggler ................................... False - log_throughput .................................. False - log_timers_to_tensorboard ....................... False - log_validation_ppl_to_tensorboard ............... False - log_world_size_to_tensorboard ................... False - logging_level ................................... 1 - loss_scale ...................................... None - loss_scale_window ............................... 1000 - lr .............................................. 2e-05 - lr_decay_iters .................................. 430000 - lr_decay_samples ................................ None - lr_decay_style .................................. cosine - lr_warmup_fraction .............................. 0.001 - lr_warmup_init .................................. 0.0 - lr_warmup_iters ................................. 0 - lr_warmup_samples ............................... 0 - lr_wsd_decay_iters .............................. None - lr_wsd_decay_samples ............................ None - lr_wsd_decay_style .............................. exponential - main_grads_dtype ................................ torch.float32 - main_params_dtype ............................... torch.float32 - make_vocab_size_divisible_by .................... 128 - mamba_disable_cp ................................ False - mamba_expand .................................... 2 - mamba_head_dim .................................. 64 - mamba_num_groups ................................ 8 - mamba_num_heads ................................. None - mamba_state_dim ................................. 128 - manual_gc ....................................... False - manual_gc_eval .................................. True - manual_gc_interval .............................. 0 - mask_factor ..................................... 1.0 - mask_prob ....................................... 0.15 - mask_type ....................................... random - masked_softmax_fusion ........................... True - max_position_embeddings ......................... 490000 - max_seqlen_per_cp_rank .......................... None - max_shard_size .................................. 20GB - max_tokens_to_oom ............................... 12000 - mcore2hf ........................................ True - memory_snapshot_path ............................ None - merge_file ...................................... None - micro_batch_size ................................ 1 - microbatch_group_size_per_vp_stage .............. None - mid_level_dataset_surplus ....................... 0.005 - min_loss_scale .................................. 1.0 - min_lr .......................................... 6e-06 - min_offloaded_tensor_size ....................... 1048576 - mlp_chunks_for_prefill .......................... 1 - mmap_bin_files .................................. True - mock_data ....................................... False - model_type ...................................... GPT - moe_apply_probs_on_input ........................ False - moe_aux_loss_coeff .............................. 0.0 - moe_deepep_num_sms .............................. 20 - moe_enable_deepep ............................... False - moe_expert_capacity_factor ...................... None - moe_extended_tp ................................. False - moe_ffn_hidden_size ............................. None - moe_flex_dispatcher_backend ..................... deepep - moe_grouped_gemm ................................ False - moe_hybridep_num_sms ............................ 16 - moe_input_jitter_eps ............................ None - moe_layer_freq .................................. 1 - moe_layer_recompute ............................. False - moe_pad_expert_input_to_capacity ................ False - moe_pad_experts_for_cuda_graph_inference ........ False - moe_per_layer_logging ........................... False - moe_permute_fusion .............................. False - moe_router_bias_update_method ................... sign - moe_router_bias_update_rate ..................... 0.001 - moe_router_dtype ................................ None - moe_router_enable_expert_bias ................... False - moe_router_force_load_balancing ................. False - moe_router_fusion ............................... False - moe_router_group_topk ........................... None - moe_router_load_balancing_type .................. aux_loss - moe_router_num_groups ........................... None - moe_router_padding_for_fp8 ...................... False - moe_router_padding_for_quantization ............. False - moe_router_pre_softmax .......................... False - moe_router_score_function ....................... softmax - moe_router_topk ................................. 2 - moe_router_topk_scaling_factor .................. None - moe_shared_expert_gate .......................... False - moe_shared_expert_intermediate_size ............. None - moe_shared_expert_overlap ....................... False - moe_token_dispatcher_type ....................... allgather - moe_token_drop_policy ........................... probs - moe_upcycling_granularity ....................... 1 - moe_use_legacy_grouped_gemm ..................... False - moe_use_upcycling ............................... False - moe_z_loss_coeff ................................ None - mrope_section ................................... None - mscale .......................................... 1.0 - mscale_all_dim .................................. 0.0 - mtp_linear_attention_type ....................... None - mtp_loss_scaling_factor ......................... 0.1 - mtp_num_layers .................................. None - multi_latent_attention .......................... False - multiple_validation_sets ........................ False - muon_ball_momentum .............................. 0.9 - muon_ball_msign_steps ........................... 5 - muon_ball_power_iteration_steps ................. 10 - muon_ball_qkv_split_mode ........................ component - muon_ball_radius_mode ........................... spectral_mup - muon_ball_retract_alpha ......................... 0.05 - muon_ball_retract_mode .......................... hard - muon_ball_scale_mode ............................ spectral_mup - muon_ball_split_fc1 ............................. True - muon_ball_split_moe_experts ..................... True - muon_ball_split_qkv ............................. True - muon_ball_use_nesterov .......................... True - muon_extra_scale_factor ......................... 1.0 - muon_fp32_matmul_prec ........................... medium - muon_momentum ................................... 0.9 - muon_num_ns_steps ............................... 5 - muon_qkv_split_mode ............................. component - muon_scale_mode ................................. spectral_mup - muon_scale_vectorized_mode ...................... full - muon_split_fc1 .................................. True - muon_split_moe_experts .......................... True - muon_split_qkv .................................. True - muon_tp_mode .................................... blockwise - muon_use_nesterov ............................... False - muon_vectorize .................................. [] - muon_vectorize_attn_dim ......................... hidden_size - nccl_all_reduce_for_prefill ..................... False - nccl_communicator_config_path ................... None - nccl_ub ......................................... False - no_load_optim ................................... True - no_load_rng ..................................... True - no_load_scheduler ............................... None - no_persist_layer_norm ........................... False - no_rope_freq .................................... None - no_save_optim ................................... None - no_save_rng ..................................... None - no_save_step_one ................................ None - no_weight_decay_cond_type ....................... None - non_persistent_ckpt_type ........................ None - non_persistent_global_ckpt_dir .................. None - non_persistent_local_ckpt_algo .................. fully_parallel - non_persistent_local_ckpt_dir ................... None - non_persistent_save_interval .................... None - norm_epsilon .................................... 1e-06 - normalization ................................... RMSNorm - num_attention_heads ............................. 30 - num_channels .................................... 3 - num_classes ..................................... 1000 - num_dataset_builder_threads ..................... 1 - num_distributed_optimizer_instances ............. 1 - num_experts ..................................... None - num_hf_saver .................................... None - num_layers ...................................... 56 - num_layers_at_end_in_bf16 ....................... 1 - num_layers_at_start_in_bf16 ..................... 1 - num_layers_per_virtual_pipeline_stage ........... None - num_query_groups ................................ 6 - num_virtual_stages_per_pipeline_rank ............ None - num_workers ..................................... 2 - object_storage_cache_path ....................... None - offload_modules ................................. [] - one_logger_async ................................ False - one_logger_project .............................. megatron-lm - one_logger_run_name ............................. None - onnx_safe ....................................... None - openai_gelu ..................................... False - optimizer ....................................... adam - optimizer_cpu_offload ........................... False - optimizer_offload_fraction ...................... 1.0 - output_bert_embeddings .......................... False - overlap_cpu_optimizer_d2h_h2d ................... False - overlap_grad_reduce ............................. False - overlap_moe_expert_parallel_comm ................ False - overlap_p2p_comm ................................ False - overlap_p2p_comm_warmup_flush ................... False - overlap_param_gather ............................ False - overlap_param_gather_with_optimizer_step ........ False - override_hf_eod_token_id ........................ None - override_opt_param_scheduler .................... False - padded_vocab_size ............................... 99000 - params_dtype .................................... torch.bfloat16 - patch_dim ....................................... 16 - per_split_data_args_path ........................ None - perform_initialization .......................... True - perform_rl_step ................................. False - pin_cpu_grads ................................... True - pin_cpu_params .................................. True - pipeline_model_parallel_comm_backend ............ None - pipeline_model_parallel_layout .................. None - pipeline_model_parallel_size .................... 1 - position_embedding_type ......................... rope - pretrain_script ................................. mcore_gdn_moe.model_provider - pretrained_checkpoint ........................... None - profile ......................................... False - profile_ranks ................................... [0] - profile_step_end ................................ 12 - profile_step_start .............................. 10 - q_lora_rank ..................................... None - qk_head_dim ..................................... 128 - qk_l2_norm ...................................... False - qk_layernorm .................................... False - qk_pos_emb_head_dim ............................. 64 - query_in_block_prob ............................. 0.1 - quick_geglu ..................................... False - rampup_batch_size ............................... None - rank ............................................ 0 - recompute_granularity ........................... None - recompute_method ................................ None - recompute_modules ............................... None - recompute_num_layers ............................ None - record_memory_history ........................... False - relative_attention_max_distance ................. 128 - relative_attention_num_buckets .................. 32 - reparam_checkpoint .............................. None - reparam_fallback_value .......................... None - reparam_keys .................................... None - replication ..................................... False - replication_factor .............................. 2 - replication_jump ................................ None - rerun_mode ...................................... validate_results - reset_attention_mask ............................ False - reset_iteration_one_to_zero ..................... False - reset_position_ids .............................. False - result_rejected_tracker_filename ................ None - retriever_report_topk_accuracies ................ [] - retriever_score_scaling ......................... False - retriever_seq_length ............................ 256 - retro_add_retriever ............................. False - retro_attention_gate ............................ 1 - retro_cyclic_train_iters ........................ None - retro_encoder_attention_dropout ................. 0.1 - retro_encoder_hidden_dropout .................... 0.1 - retro_encoder_layers ............................ 2 - retro_num_neighbors ............................. 2 - retro_num_retrieved_chunks ...................... 2 - retro_project_dir ............................... None - retro_verify_neighbor_count ..................... True - reuse_grad_buf_for_mxfp8_param_ag ............... False - rl_calculate_intra_group_similarity ............. False - rl_importance_sampling_truncation_coef .......... None - rl_inference_logprobs_is_correction ............. False - rl_offload_kv_cache_during_training ............. False - rl_offload_optimizer_during_inference ........... False - rl_partial_rollouts ............................. False - rl_prompts_per_eval ............................. 32 - rl_remove_kv_cache_during_training .............. False - rl_reset_cuda_graphs ............................ False - rl_sequence_packing_algo ........................ fifo - rl_sequence_packing_bin_size .................... 8192 - rl_use_sequence_packing ......................... False - rope_scaling_factor ............................. 8.0 - rope_type ....................................... None - rotary_base ..................................... 490000 - rotary_interleaved .............................. False - rotary_percent .................................. 1.0 - rotary_scaling_factor ........................... 1.0 - rotary_seq_len_interpolation_factor ............. None - run_workload_inspector_server ................... False - sample_rate ..................................... 1.0 - save ............................................ None - save_after_load ................................. False - save_dir ........................................ /mnt/hdd/lvzhihao/mcore_models/grid_search_0318/checkpoint/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/iter_953-hf - save_interval ................................... 10000 - save_retain_interval ............................ None - scatter_gather_tensors_in_pipeline .............. True - seed ............................................ 1234 - seq_length ...................................... 1 - sequence_parallel ............................... False - sft ............................................. False - sft_tokenizer_prompt_format ..................... nemotron-h-aligned - sgd_momentum .................................... 0.9 - sharp_enabled_group ............................. None - short_seq_prob .................................. 0.1 - skip_train ...................................... True - skipped_train_samples ........................... 0 - softmax_type .................................... vanilla - spec ............................................ None - spectral_ball_momentum .......................... 0.9 - spectral_ball_msign_steps ....................... 8 - spectral_ball_power_iteration_steps ............. 20 - spectral_ball_qkv_split_mode .................... component - spectral_ball_radius_mode ....................... spectral_mup - spectral_ball_retract_alpha ..................... 0.05 - spectral_ball_retract_mode ...................... hard - spectral_ball_scale_mode ........................ spectral_mup - spectral_ball_solver ............................ bisection - spectral_ball_solver_max_iterations ............. 20 - spectral_ball_solver_tolerance_f ................ 1e-08 - spectral_ball_split_fc1 ......................... True - spectral_ball_split_moe_experts ................. True - spectral_ball_split_qkv ......................... True - spectral_ball_use_nesterov ...................... True - spectral_mup_init ............................... False - split ........................................... None - split_expert_init ............................... True - split_fc1_init .................................. True - split_qkv_init .................................. True - split_qkv_init_mode ............................. group - sqreglu ......................................... False - squared_relu .................................... False - start_samples ................................... None - start_weight_decay .............................. 0.1 - straggler_ctrlr_port ............................ 65535 - straggler_minmax_count .......................... 1 - strict_fsdp_dtensor_load ........................ True - suggested_communication_unit_size ............... None - swanlab_exp_name ................................ - swanlab_project ................................. - swanlab_save_dir ................................ - swanlab_workspace ............................... - swiglu .......................................... True - swin_backbone_type .............................. tiny - symmetric_ar_type ............................... None - synchronizer .................................... mcore_gdn_moe - target_ckpt_format .............................. torch_dist - te_rng_tracker .................................. False - tensor_model_parallel_size ...................... 1 - tensorboard_dir ................................. None - tensorboard_log_interval ........................ 1 - tensorboard_queue_size .......................... 1000 - test_data_path .................................. None - test_mode ....................................... False - tiktoken_num_special_tokens ..................... 1000 - tiktoken_pattern ................................ None - tiktoken_special_tokens ......................... None - timing_log_level ................................ 0 - timing_log_option ............................... minmax - titles_data_path ................................ None - token_shift_conv_init ........................... default - token_shift_conv_size ........................... 4 - tokenizer_metadata .............................. None - tokenizer_model ................................. /mnt/ssd/cache_tmp/tmp/tmp.9kVbw0fz8t - tokenizer_type .................................. HuggingFaceTokenizer - torch_fsdp2_reshard_after_forward ............... True - tp_comm_bootstrap_backend ....................... nccl - tp_comm_bulk_dgrad .............................. True - tp_comm_bulk_wgrad .............................. True - tp_comm_overlap ................................. False - tp_comm_overlap_ag .............................. True - tp_comm_overlap_cfg ............................. None - tp_comm_overlap_rs .............................. True - tp_comm_overlap_rs_dgrad ........................ False - tp_comm_split_ag ................................ True - tp_comm_split_rs ................................ True - train_data_path ................................. None - train_iters ..................................... 500000 - train_samples ................................... None - train_sync_interval ............................. None - transformer_impl ................................ transformer_engine - transformer_pipeline_model_parallel_size ........ 1 - trust_remote_code ............................... False - untie_embeddings_and_output_weights ............. True - use_checkpoint_args ............................. False - use_checkpoint_opt_param_scheduler .............. False - use_cpu_initialization .......................... True - use_dist_ckpt ................................... True - use_dist_ckpt_deprecated ........................ False - use_distributed_optimizer ....................... False - use_flash_attn .................................. False - use_fused_weighted_squared_relu ................. False - use_gpu ......................................... True - use_legacy_models ............................... False - use_megatron_fsdp ............................... False - use_mp_args_from_checkpoint_args ................ False - use_one_sent_docs ............................... False - use_persistent_ckpt_worker ...................... False - use_precision_aware_optimizer ................... False - use_pytorch_profiler ............................ False - use_ring_exchange_p2p ........................... False - use_rope_scaling ................................ False - use_rotary_position_embeddings .................. False - use_sharp ....................................... False - use_te_activation_func .......................... False - use_tokenizer_model_from_checkpoint_args ........ True - use_torch_fsdp2 ................................. False - use_torch_optimizer_for_cpu_offload ............. False - use_tp_pp_dp_mapping ............................ False - v_head_dim ...................................... 128 - valid_data_path ................................. None - variable_seq_lengths ............................ False - virtual_pipeline_model_parallel_size ............ None - vision_backbone_type ............................ vit - vision_pretraining .............................. False - vision_pretraining_type ......................... classify - vocab_extra_ids ................................. 0 - vocab_file ...................................... None - vocab_size ...................................... None - wandb_entity .................................... - wandb_exp_name .................................. - wandb_project ................................... - wandb_save_dir .................................. - weight_decay .................................... 0.1 - weight_decay_incr_style ......................... constant - wgrad_deferral_limit ............................ 0 - window_attn_skip_freq ........................... None - window_size ..................................... None - word_embedding_dropout_prob ..................... 0.0 - world_size ...................................... 1 - yaml_cfg ........................................ None --------------------- end of arguments --------------------- -INFO:megatron.core.num_microbatches_calculator:setting number of microbatches to constant 1024 -> building HuggingFaceTokenizer tokenizer ... -You are using the default legacy behaviour of the . This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565 - if you loaded a llama tokenizer from a GGUF file you can ignore this message. -WARNING: one_logger package is required to enable e2e metrics tracking. please go to https://confluence.nvidia.com/display/MLWFO/Package+Repositories for details to install it -INFO:megatron.training.initialize:Setting logging level to 1 -WARNING:megatron.core.rerun_state_machine:RerunStateMachine initialized in mode validate_results -> initializing torch distributed ... -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -> initialized tensor model parallel with size 1 -> initialized pipeline model parallel with size 1 -> setting random seeds to 1234 ... -> compiling dataset index builder ... -make: Entering directory '/mnt/ssd/lvzhihao/PostTrain/YuLan-Pretrain/megatron/core/datasets' -make: Nothing to be done for 'default'. -make: Leaving directory '/mnt/ssd/lvzhihao/PostTrain/YuLan-Pretrain/megatron/core/datasets' ->>> done with dataset index builder. Compilation time: 0.106 seconds -WARNING: constraints for invoking optimized fused softmax kernel are not met. We default back to unfused kernel invocations. -> compiling and loading fused kernels ... -/mnt/ssd/lvzhihao/PostTrain/YuLan-Pretrain/.venv/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. - warnings.warn( # warn only once -[rank0]:[W320 09:19:59.967589007 ProcessGroupNCCL.cpp:5023] [PG ID 0 PG GUID 0 Rank 0] using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can specify device_id in init_process_group() to force use of a particular device. ->>> done with compiling and loading fused kernels. Compilation time: 0.404 seconds -WORLD_SIZE: 1, RANK: 0, LOCAL_RANK: 0 -building GPT model ... -`torch_dtype` is deprecated! Use `dtype` instead! -`torch_dtype` is deprecated! Use `dtype` instead! -INFO:transformers_modules.tmp_dot_9kVbw0fz8t.modeling_qwen3_next:[Qwen3Next custom] attn_position_embedding_type=rope, rnn_position_embedding_type=nope, attn_logits_scaling=None -Qwen3NextForCausalLM( - (model): Qwen3NextModel( - (embed_tokens): Embedding(99000, 1920) - (layers): ModuleList( - (0-11): 12 x Qwen3NextDecoderLayer( - (linear_attn): Qwen3NextGatedDeltaNet( - (act): SiLUActivation() - (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072, bias=False) - (in_proj_qkvz): Linear(in_features=1920, out_features=5120, bias=False) - (in_proj_ba): Linear(in_features=1920, out_features=64, bias=False) - (norm): FusedRMSNormGated(64, eps=1e-06, activation=silu) - (out_proj): Linear(in_features=2048, out_features=1920, bias=False) - ) - (mlp): Qwen3NextMLP( - (gate_proj): Linear(in_features=1920, out_features=4800, bias=False) - (up_proj): Linear(in_features=1920, out_features=4800, bias=False) - (down_proj): Linear(in_features=4800, out_features=1920, bias=False) - (act_fn): SiLUActivation() - ) - (input_layernorm): LlamaRMSNorm() - (post_attention_layernorm): LlamaRMSNorm() - ) - (12): Qwen3NextDecoderLayer( - (self_attn): Qwen3NextAttention( - (q_proj): Linear(in_features=1920, out_features=1920, bias=True) - (k_proj): Linear(in_features=1920, out_features=384, bias=True) - (v_proj): Linear(in_features=1920, out_features=384, bias=True) - (o_proj): Linear(in_features=1920, out_features=1920, bias=False) - ) - (mlp): Qwen3NextMLP( - (gate_proj): Linear(in_features=1920, out_features=4800, bias=False) - (up_proj): Linear(in_features=1920, out_features=4800, bias=False) - (down_proj): Linear(in_features=4800, out_features=1920, bias=False) - (act_fn): SiLUActivation() - ) - (input_layernorm): LlamaRMSNorm() - (post_attention_layernorm): LlamaRMSNorm() - ) - (13-19): 7 x Qwen3NextDecoderLayer( - (linear_attn): Qwen3NextGatedDeltaNet( - (act): SiLUActivation() - (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072, bias=False) - (in_proj_qkvz): Linear(in_features=1920, out_features=5120, bias=False) - (in_proj_ba): Linear(in_features=1920, out_features=64, bias=False) - (norm): FusedRMSNormGated(64, eps=1e-06, activation=silu) - (out_proj): Linear(in_features=2048, out_features=1920, bias=False) - ) - (mlp): Qwen3NextMLP( - (gate_proj): Linear(in_features=1920, out_features=4800, bias=False) - (up_proj): Linear(in_features=1920, out_features=4800, bias=False) - (down_proj): Linear(in_features=4800, out_features=1920, bias=False) - (act_fn): SiLUActivation() - ) - (input_layernorm): LlamaRMSNorm() - (post_attention_layernorm): LlamaRMSNorm() - ) - (20-21): 2 x Qwen3NextDecoderLayer( - (self_attn): Qwen3NextAttention( - (q_proj): Linear(in_features=1920, out_features=1920, bias=True) - (k_proj): Linear(in_features=1920, out_features=384, bias=True) - (v_proj): Linear(in_features=1920, out_features=384, bias=True) - (o_proj): Linear(in_features=1920, out_features=1920, bias=False) - ) - (mlp): Qwen3NextMLP( - (gate_proj): Linear(in_features=1920, out_features=4800, bias=False) - (up_proj): Linear(in_features=1920, out_features=4800, bias=False) - (down_proj): Linear(in_features=4800, out_features=1920, bias=False) - (act_fn): SiLUActivation() - ) - (input_layernorm): LlamaRMSNorm() - (post_attention_layernorm): LlamaRMSNorm() - ) - (22): Qwen3NextDecoderLayer( - (linear_attn): Qwen3NextGatedDeltaNet( - (act): SiLUActivation() - (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072, bias=False) - (in_proj_qkvz): Linear(in_features=1920, out_features=5120, bias=False) - (in_proj_ba): Linear(in_features=1920, out_features=64, bias=False) - (norm): FusedRMSNormGated(64, eps=1e-06, activation=silu) - (out_proj): Linear(in_features=2048, out_features=1920, bias=False) - ) - (mlp): Qwen3NextMLP( - (gate_proj): Linear(in_features=1920, out_features=4800, bias=False) - (up_proj): Linear(in_features=1920, out_features=4800, bias=False) - (down_proj): Linear(in_features=4800, out_features=1920, bias=False) - (act_fn): SiLUActivation() - ) - (input_layernorm): LlamaRMSNorm() - (post_attention_layernorm): LlamaRMSNorm() - ) - (23): Qwen3NextDecoderLayer( - (self_attn): Qwen3NextAttention( - (q_proj): Linear(in_features=1920, out_features=1920, bias=True) - (k_proj): Linear(in_features=1920, out_features=384, bias=True) - (v_proj): Linear(in_features=1920, out_features=384, bias=True) - (o_proj): Linear(in_features=1920, out_features=1920, bias=False) - ) - (mlp): Qwen3NextMLP( - (gate_proj): Linear(in_features=1920, out_features=4800, bias=False) - (up_proj): Linear(in_features=1920, out_features=4800, bias=False) - (down_proj): Linear(in_features=4800, out_features=1920, bias=False) - (act_fn): SiLUActivation() - ) - (input_layernorm): LlamaRMSNorm() - (post_attention_layernorm): LlamaRMSNorm() - ) - (24-45): 22 x Qwen3NextDecoderLayer( - (linear_attn): Qwen3NextGatedDeltaNet( - (act): SiLUActivation() - (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072, bias=False) - (in_proj_qkvz): Linear(in_features=1920, out_features=5120, bias=False) - (in_proj_ba): Linear(in_features=1920, out_features=64, bias=False) - (norm): FusedRMSNormGated(64, eps=1e-06, activation=silu) - (out_proj): Linear(in_features=2048, out_features=1920, bias=False) - ) - (mlp): Qwen3NextMLP( - (gate_proj): Linear(in_features=1920, out_features=4800, bias=False) - (up_proj): Linear(in_features=1920, out_features=4800, bias=False) - (down_proj): Linear(in_features=4800, out_features=1920, bias=False) - (act_fn): SiLUActivation() - ) - (input_layernorm): LlamaRMSNorm() - (post_attention_layernorm): LlamaRMSNorm() - ) - (46): Qwen3NextDecoderLayer( - (self_attn): Qwen3NextAttention( - (q_proj): Linear(in_features=1920, out_features=1920, bias=True) - (k_proj): Linear(in_features=1920, out_features=384, bias=True) - (v_proj): Linear(in_features=1920, out_features=384, bias=True) - (o_proj): Linear(in_features=1920, out_features=1920, bias=False) - ) - (mlp): Qwen3NextMLP( - (gate_proj): Linear(in_features=1920, out_features=4800, bias=False) - (up_proj): Linear(in_features=1920, out_features=4800, bias=False) - (down_proj): Linear(in_features=4800, out_features=1920, bias=False) - (act_fn): SiLUActivation() - ) - (input_layernorm): LlamaRMSNorm() - (post_attention_layernorm): LlamaRMSNorm() - ) - (47): Qwen3NextDecoderLayer( - (linear_attn): Qwen3NextGatedDeltaNet( - (act): SiLUActivation() - (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072, bias=False) - (in_proj_qkvz): Linear(in_features=1920, out_features=5120, bias=False) - (in_proj_ba): Linear(in_features=1920, out_features=64, bias=False) - (norm): FusedRMSNormGated(64, eps=1e-06, activation=silu) - (out_proj): Linear(in_features=2048, out_features=1920, bias=False) - ) - (mlp): Qwen3NextMLP( - (gate_proj): Linear(in_features=1920, out_features=4800, bias=False) - (up_proj): Linear(in_features=1920, out_features=4800, bias=False) - (down_proj): Linear(in_features=4800, out_features=1920, bias=False) - (act_fn): SiLUActivation() - ) - (input_layernorm): LlamaRMSNorm() - (post_attention_layernorm): LlamaRMSNorm() - ) - (48-49): 2 x Qwen3NextDecoderLayer( - (self_attn): Qwen3NextAttention( - (q_proj): Linear(in_features=1920, out_features=1920, bias=True) - (k_proj): Linear(in_features=1920, out_features=384, bias=True) - (v_proj): Linear(in_features=1920, out_features=384, bias=True) - (o_proj): Linear(in_features=1920, out_features=1920, bias=False) - ) - (mlp): Qwen3NextMLP( - (gate_proj): Linear(in_features=1920, out_features=4800, bias=False) - (up_proj): Linear(in_features=1920, out_features=4800, bias=False) - (down_proj): Linear(in_features=4800, out_features=1920, bias=False) - (act_fn): SiLUActivation() - ) - (input_layernorm): LlamaRMSNorm() - (post_attention_layernorm): LlamaRMSNorm() - ) - (50-55): 6 x Qwen3NextDecoderLayer( - (linear_attn): Qwen3NextGatedDeltaNet( - (act): SiLUActivation() - (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072, bias=False) - (in_proj_qkvz): Linear(in_features=1920, out_features=5120, bias=False) - (in_proj_ba): Linear(in_features=1920, out_features=64, bias=False) - (norm): FusedRMSNormGated(64, eps=1e-06, activation=silu) - (out_proj): Linear(in_features=2048, out_features=1920, bias=False) - ) - (mlp): Qwen3NextMLP( - (gate_proj): Linear(in_features=1920, out_features=4800, bias=False) - (up_proj): Linear(in_features=1920, out_features=4800, bias=False) - (down_proj): Linear(in_features=4800, out_features=1920, bias=False) - (act_fn): SiLUActivation() - ) - (input_layernorm): LlamaRMSNorm() - (post_attention_layernorm): LlamaRMSNorm() - ) - ) - (norm): LlamaRMSNorm() - (rotary_emb): Qwen3NextRotaryEmbedding() - ) - (lm_head): Linear(in_features=1920, out_features=99000, bias=False) -) -GPTModel( - (embedding): LanguageModelEmbedding( - (word_embeddings): VocabParallelEmbedding() - (embedding_dropout): Dropout(p=0.1, inplace=False) - ) - (rotary_pos_emb): RotaryEmbedding() - (decoder): TransformerBlock( - (layers): ModuleList( - (0-11): 12 x TransformerLayer( - (input_layernorm): IdentityOp() - (self_attention): GatedDeltaNet( - (in_proj): TELayerNormColumnParallelLinear(in_features=1920, out_features=5184, bias=False, TP=1) - (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072, bias=False) - (out_norm): RMSNorm() - (out_proj): TERowParallelLinear(in_features=2048, out_features=1920, bias=False, TP=1) - ) - (pre_cross_attn_layernorm): IdentityOp() - (cross_attention): IdentityOp() - (cross_attn_bda): IdentityFuncOp() - (pre_mlp_layernorm): IdentityOp() - (mlp): MLP( - (linear_fc1): TELayerNormColumnParallelLinear(in_features=1920, out_features=9600, bias=False, TP=1) - (linear_fc2): TERowParallelLinear(in_features=4800, out_features=1920, bias=False, TP=1) - ) - ) - (12): TransformerLayer( - (input_layernorm): IdentityOp() - (self_attention): SelfAttention( - (core_attention): TEDotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0.1, inplace=False) - ) - ) - (linear_proj): TERowParallelLinear(in_features=1920, out_features=1920, bias=False, TP=1) - (linear_qkv): TELayerNormColumnParallelLinear(in_features=1920, out_features=2688, bias=True, TP=1) - (q_layernorm): IdentityOp() - (k_layernorm): IdentityOp() - ) - (pre_cross_attn_layernorm): IdentityOp() - (cross_attention): IdentityOp() - (cross_attn_bda): IdentityFuncOp() - (pre_mlp_layernorm): IdentityOp() - (mlp): MLP( - (linear_fc1): TELayerNormColumnParallelLinear(in_features=1920, out_features=9600, bias=False, TP=1) - (linear_fc2): TERowParallelLinear(in_features=4800, out_features=1920, bias=False, TP=1) - ) - ) - (13-19): 7 x TransformerLayer( - (input_layernorm): IdentityOp() - (self_attention): GatedDeltaNet( - (in_proj): TELayerNormColumnParallelLinear(in_features=1920, out_features=5184, bias=False, TP=1) - (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072, bias=False) - (out_norm): RMSNorm() - (out_proj): TERowParallelLinear(in_features=2048, out_features=1920, bias=False, TP=1) - ) - (pre_cross_attn_layernorm): IdentityOp() - (cross_attention): IdentityOp() - (cross_attn_bda): IdentityFuncOp() - (pre_mlp_layernorm): IdentityOp() - (mlp): MLP( - (linear_fc1): TELayerNormColumnParallelLinear(in_features=1920, out_features=9600, bias=False, TP=1) - (linear_fc2): TERowParallelLinear(in_features=4800, out_features=1920, bias=False, TP=1) - ) - ) - (20-21): 2 x TransformerLayer( - (input_layernorm): IdentityOp() - (self_attention): SelfAttention( - (core_attention): TEDotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0.1, inplace=False) - ) - ) - (linear_proj): TERowParallelLinear(in_features=1920, out_features=1920, bias=False, TP=1) - (linear_qkv): TELayerNormColumnParallelLinear(in_features=1920, out_features=2688, bias=True, TP=1) - (q_layernorm): IdentityOp() - (k_layernorm): IdentityOp() - ) - (pre_cross_attn_layernorm): IdentityOp() - (cross_attention): IdentityOp() - (cross_attn_bda): IdentityFuncOp() - (pre_mlp_layernorm): IdentityOp() - (mlp): MLP( - (linear_fc1): TELayerNormColumnParallelLinear(in_features=1920, out_features=9600, bias=False, TP=1) - (linear_fc2): TERowParallelLinear(in_features=4800, out_features=1920, bias=False, TP=1) - ) - ) - (22): TransformerLayer( - (input_layernorm): IdentityOp() - (self_attention): GatedDeltaNet( - (in_proj): TELayerNormColumnParallelLinear(in_features=1920, out_features=5184, bias=False, TP=1) - (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072, bias=False) - (out_norm): RMSNorm() - (out_proj): TERowParallelLinear(in_features=2048, out_features=1920, bias=False, TP=1) - ) - (pre_cross_attn_layernorm): IdentityOp() - (cross_attention): IdentityOp() - (cross_attn_bda): IdentityFuncOp() - (pre_mlp_layernorm): IdentityOp() - (mlp): MLP( - (linear_fc1): TELayerNormColumnParallelLinear(in_features=1920, out_features=9600, bias=False, TP=1) - (linear_fc2): TERowParallelLinear(in_features=4800, out_features=1920, bias=False, TP=1) - ) - ) - (23): TransformerLayer( - (input_layernorm): IdentityOp() - (self_attention): SelfAttention( - (core_attention): TEDotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0.1, inplace=False) - ) - ) - (linear_proj): TERowParallelLinear(in_features=1920, out_features=1920, bias=False, TP=1) - (linear_qkv): TELayerNormColumnParallelLinear(in_features=1920, out_features=2688, bias=True, TP=1) - (q_layernorm): IdentityOp() - (k_layernorm): IdentityOp() - ) - (pre_cross_attn_layernorm): IdentityOp() - (cross_attention): IdentityOp() - (cross_attn_bda): IdentityFuncOp() - (pre_mlp_layernorm): IdentityOp() - (mlp): MLP( - (linear_fc1): TELayerNormColumnParallelLinear(in_features=1920, out_features=9600, bias=False, TP=1) - (linear_fc2): TERowParallelLinear(in_features=4800, out_features=1920, bias=False, TP=1) - ) - ) - (24-45): 22 x TransformerLayer( - (input_layernorm): IdentityOp() - (self_attention): GatedDeltaNet( - (in_proj): TELayerNormColumnParallelLinear(in_features=1920, out_features=5184, bias=False, TP=1) - (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072, bias=False) - (out_norm): RMSNorm() - (out_proj): TERowParallelLinear(in_features=2048, out_features=1920, bias=False, TP=1) - ) - (pre_cross_attn_layernorm): IdentityOp() - (cross_attention): IdentityOp() - (cross_attn_bda): IdentityFuncOp() - (pre_mlp_layernorm): IdentityOp() - (mlp): MLP( - (linear_fc1): TELayerNormColumnParallelLinear(in_features=1920, out_features=9600, bias=False, TP=1) - (linear_fc2): TERowParallelLinear(in_features=4800, out_features=1920, bias=False, TP=1) - ) - ) - (46): TransformerLayer( - (input_layernorm): IdentityOp() - (self_attention): SelfAttention( - (core_attention): TEDotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0.1, inplace=False) - ) - ) - (linear_proj): TERowParallelLinear(in_features=1920, out_features=1920, bias=False, TP=1) - (linear_qkv): TELayerNormColumnParallelLinear(in_features=1920, out_features=2688, bias=True, TP=1) - (q_layernorm): IdentityOp() - (k_layernorm): IdentityOp() - ) - (pre_cross_attn_layernorm): IdentityOp() - (cross_attention): IdentityOp() - (cross_attn_bda): IdentityFuncOp() - (pre_mlp_layernorm): IdentityOp() - (mlp): MLP( - (linear_fc1): TELayerNormColumnParallelLinear(in_features=1920, out_features=9600, bias=False, TP=1) - (linear_fc2): TERowParallelLinear(in_features=4800, out_features=1920, bias=False, TP=1) - ) - ) - (47): TransformerLayer( - (input_layernorm): IdentityOp() - (self_attention): GatedDeltaNet( - (in_proj): TELayerNormColumnParallelLinear(in_features=1920, out_features=5184, bias=False, TP=1) - (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072, bias=False) - (out_norm): RMSNorm() - (out_proj): TERowParallelLinear(in_features=2048, out_features=1920, bias=False, TP=1) - ) - (pre_cross_attn_layernorm): IdentityOp() - (cross_attention): IdentityOp() - (cross_attn_bda): IdentityFuncOp() - (pre_mlp_layernorm): IdentityOp() - (mlp): MLP( - (linear_fc1): TELayerNormColumnParallelLinear(in_features=1920, out_features=9600, bias=False, TP=1) - (linear_fc2): TERowParallelLinear(in_features=4800, out_features=1920, bias=False, TP=1) - ) - ) - (48-49): 2 x TransformerLayer( - (input_layernorm): IdentityOp() - (self_attention): SelfAttention( - (core_attention): TEDotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0.1, inplace=False) - ) - ) - (linear_proj): TERowParallelLinear(in_features=1920, out_features=1920, bias=False, TP=1) - (linear_qkv): TELayerNormColumnParallelLinear(in_features=1920, out_features=2688, bias=True, TP=1) - (q_layernorm): IdentityOp() - (k_layernorm): IdentityOp() - ) - (pre_cross_attn_layernorm): IdentityOp() - (cross_attention): IdentityOp() - (cross_attn_bda): IdentityFuncOp() - (pre_mlp_layernorm): IdentityOp() - (mlp): MLP( - (linear_fc1): TELayerNormColumnParallelLinear(in_features=1920, out_features=9600, bias=False, TP=1) - (linear_fc2): TERowParallelLinear(in_features=4800, out_features=1920, bias=False, TP=1) - ) - ) - (50-55): 6 x TransformerLayer( - (input_layernorm): IdentityOp() - (self_attention): GatedDeltaNet( - (in_proj): TELayerNormColumnParallelLinear(in_features=1920, out_features=5184, bias=False, TP=1) - (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072, bias=False) - (out_norm): RMSNorm() - (out_proj): TERowParallelLinear(in_features=2048, out_features=1920, bias=False, TP=1) - ) - (pre_cross_attn_layernorm): IdentityOp() - (cross_attention): IdentityOp() - (cross_attn_bda): IdentityFuncOp() - (pre_mlp_layernorm): IdentityOp() - (mlp): MLP( - (linear_fc1): TELayerNormColumnParallelLinear(in_features=1920, out_features=9600, bias=False, TP=1) - (linear_fc2): TERowParallelLinear(in_features=4800, out_features=1920, bias=False, TP=1) - ) - ) - ) - (final_layernorm): RMSNorm() - ) - (output_layer): ColumnParallelLinear(in_features=1920, out_features=99000, bias=False, TP=1) -) -/mnt/ssd/lvzhihao/PostTrain/YuLan-Pretrain/megatron/core/dist_checkpointing/strategies/common.py:89: UserWarning: Environment variable TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD detected, since the`weights_only` argument was not explicitly passed to `torch.load`, forcing weights_only=False. - return torch.load(load_path, map_location='cpu') -(TP, PP) mismatch after resume ((1, 1) vs (2, 1) from checkpoint): RNG state will be ignored -sharded_state_dict metadata loaded from the checkpoint: {'singleton_local_shards': True, 'distrib_optim_sharding_type': 'fully_reshardable', 'distrib_optim_fully_reshardable_mem_efficient': False, 'chained_optim_avoid_prefix': True} -Job sharding has changed: Rerun state will be ignored - loading distributed checkpoint from /mnt/hdd/lvzhihao/mcore_models/grid_search_0318/checkpoint/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50 at iteration 953 -/mnt/ssd/lvzhihao/PostTrain/YuLan-Pretrain/megatron/core/dist_checkpointing/strategies/torch.py:956: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead. - checkpoint.load_state_dict( - checkpoint version 3.0 - successfully loaded checkpoint from /mnt/hdd/lvzhihao/mcore_models/grid_search_0318/checkpoint/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50 [ t 1/1, p 1/1 ] at iteration 953 -INFO:root:Converting layer 0 is_gdn=True is_not_moe=True -INFO:root:Converting layer 1 is_gdn=True is_not_moe=True -INFO:root:Converting layer 2 is_gdn=True is_not_moe=True -INFO:root:Converting layer 3 is_gdn=True is_not_moe=True -INFO:root:Converting layer 4 is_gdn=True is_not_moe=True -INFO:root:Converting layer 5 is_gdn=True is_not_moe=True -INFO:root:Converting layer 6 is_gdn=True is_not_moe=True -INFO:root:Converting layer 7 is_gdn=True is_not_moe=True -INFO:root:Converting layer 8 is_gdn=True is_not_moe=True -INFO:root:Converting layer 9 is_gdn=True is_not_moe=True -INFO:root:Converting layer 10 is_gdn=True is_not_moe=True -INFO:root:Converting layer 11 is_gdn=True is_not_moe=True -INFO:root:Converting layer 12 is_gdn=False is_not_moe=True -INFO:root:[DEBUG] Layer 12: args.attention_output_gate=False -INFO:root:[DEBUG] set_gated_selfattn_state: args.attention_output_gate=False -INFO:root:[DEBUG] set_gated_selfattn_state: attention_output_gate=False, linear_layer=TELayerNormColumnParallelLinear -INFO:root:Converting layer 13 is_gdn=True is_not_moe=True -INFO:root:Converting layer 14 is_gdn=True is_not_moe=True -INFO:root:Converting layer 15 is_gdn=True is_not_moe=True -INFO:root:Converting layer 16 is_gdn=True is_not_moe=True -INFO:root:Converting layer 17 is_gdn=True is_not_moe=True -INFO:root:Converting layer 18 is_gdn=True is_not_moe=True -INFO:root:Converting layer 19 is_gdn=True is_not_moe=True -INFO:root:Converting layer 20 is_gdn=False is_not_moe=True -INFO:root:[DEBUG] Layer 20: args.attention_output_gate=False -INFO:root:[DEBUG] set_gated_selfattn_state: args.attention_output_gate=False -INFO:root:[DEBUG] set_gated_selfattn_state: attention_output_gate=False, linear_layer=TELayerNormColumnParallelLinear -INFO:root:Converting layer 21 is_gdn=False is_not_moe=True -INFO:root:[DEBUG] Layer 21: args.attention_output_gate=False -INFO:root:[DEBUG] set_gated_selfattn_state: args.attention_output_gate=False -INFO:root:[DEBUG] set_gated_selfattn_state: attention_output_gate=False, linear_layer=TELayerNormColumnParallelLinear -INFO:root:Converting layer 22 is_gdn=True is_not_moe=True -INFO:root:Converting layer 23 is_gdn=False is_not_moe=True -INFO:root:[DEBUG] Layer 23: args.attention_output_gate=False -INFO:root:[DEBUG] set_gated_selfattn_state: args.attention_output_gate=False -INFO:root:[DEBUG] set_gated_selfattn_state: attention_output_gate=False, linear_layer=TELayerNormColumnParallelLinear -INFO:root:Converting layer 24 is_gdn=True is_not_moe=True -INFO:root:Converting layer 25 is_gdn=True is_not_moe=True -INFO:root:Converting layer 26 is_gdn=True is_not_moe=True -INFO:root:Converting layer 27 is_gdn=True is_not_moe=True -INFO:root:Converting layer 28 is_gdn=True is_not_moe=True -INFO:root:Converting layer 29 is_gdn=True is_not_moe=True -INFO:root:Converting layer 30 is_gdn=True is_not_moe=True -INFO:root:Converting layer 31 is_gdn=True is_not_moe=True -INFO:root:Converting layer 32 is_gdn=True is_not_moe=True -INFO:root:Converting layer 33 is_gdn=True is_not_moe=True -INFO:root:Converting layer 34 is_gdn=True is_not_moe=True -INFO:root:Converting layer 35 is_gdn=True is_not_moe=True -INFO:root:Converting layer 36 is_gdn=True is_not_moe=True -INFO:root:Converting layer 37 is_gdn=True is_not_moe=True -INFO:root:Converting layer 38 is_gdn=True is_not_moe=True -INFO:root:Converting layer 39 is_gdn=True is_not_moe=True -INFO:root:Converting layer 40 is_gdn=True is_not_moe=True -INFO:root:Converting layer 41 is_gdn=True is_not_moe=True -INFO:root:Converting layer 42 is_gdn=True is_not_moe=True -INFO:root:Converting layer 43 is_gdn=True is_not_moe=True -INFO:root:Converting layer 44 is_gdn=True is_not_moe=True -INFO:root:Converting layer 45 is_gdn=True is_not_moe=True -INFO:root:Converting layer 46 is_gdn=False is_not_moe=True -INFO:root:[DEBUG] Layer 46: args.attention_output_gate=False -INFO:root:[DEBUG] set_gated_selfattn_state: args.attention_output_gate=False -INFO:root:[DEBUG] set_gated_selfattn_state: attention_output_gate=False, linear_layer=TELayerNormColumnParallelLinear -INFO:root:Converting layer 47 is_gdn=True is_not_moe=True -INFO:root:Converting layer 48 is_gdn=False is_not_moe=True -INFO:root:[DEBUG] Layer 48: args.attention_output_gate=False -INFO:root:[DEBUG] set_gated_selfattn_state: args.attention_output_gate=False -INFO:root:[DEBUG] set_gated_selfattn_state: attention_output_gate=False, linear_layer=TELayerNormColumnParallelLinear -INFO:root:Converting layer 49 is_gdn=False is_not_moe=True -INFO:root:[DEBUG] Layer 49: args.attention_output_gate=False -INFO:root:[DEBUG] set_gated_selfattn_state: args.attention_output_gate=False -INFO:root:[DEBUG] set_gated_selfattn_state: attention_output_gate=False, linear_layer=TELayerNormColumnParallelLinear -INFO:root:Converting layer 50 is_gdn=True is_not_moe=True -INFO:root:Converting layer 51 is_gdn=True is_not_moe=True -INFO:root:Converting layer 52 is_gdn=True is_not_moe=True -INFO:root:Converting layer 53 is_gdn=True is_not_moe=True -INFO:root:Converting layer 54 is_gdn=True is_not_moe=True -INFO:root:Converting layer 55 is_gdn=True is_not_moe=True -DEBUG:root:[RANK 0] 0 send op & 0 recv op. -INFO:root:[Iters 0 RANK 0] starts synchronizing parameters with other ranks... -INFO:root:[Iters 0 RANK 0] finishes synchronizing -[Iters 0 RANK 0] model.safetensors is saved. -DEBUG:root:[Iters 0 RANK 0] joined -Conversion finished in 66.89246106147766 seconds. -[rank0]:[W320 09:21:08.114512752 ProcessGroupNCCL.cpp:1538] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) diff --git a/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/model.safetensors b/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/model.safetensors deleted file mode 100644 index d574a59fb0a2d3f8c846c07c7e64e3c745f64ef4..0000000000000000000000000000000000000000 --- a/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/model.safetensors +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:ce63dadb1999cb096274acde86635b06e3a6c5a3cfc27496c466c053a05b5cb6 -size 5343303296 diff --git a/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/modeling_qwen3_next.py b/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/modeling_qwen3_next.py deleted file mode 100644 index 813867f769e658e98cebe33439254c35d9489913..0000000000000000000000000000000000000000 --- a/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/modeling_qwen3_next.py +++ /dev/null @@ -1,1561 +0,0 @@ -# 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨 -# This file was automatically generated from src/transformers/models/qwen3_next/modular_qwen3_next.py. -# Do NOT edit this file manually as any edits will be overwritten by the generation of -# the file from the modular. If any change should be done, please apply the change to the -# modular_qwen3_next.py file directly. One of our CI enforces this. -# 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨 -# coding=utf-8 -# Copyright 2025 The Qwen team, Alibaba Group and the HuggingFace Inc. team. All rights reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import math -from typing import Any, Callable, Optional, Union - -import torch -import torch.nn.functional as F -from torch import nn - -from transformers.activations import ACT2FN -from transformers.cache_utils import Cache -from transformers.generation import GenerationMixin -from transformers.masking_utils import create_causal_mask -from transformers.modeling_flash_attention_utils import FlashAttentionKwargs -from transformers.modeling_layers import ( - GradientCheckpointingLayer, -) -from transformers.modeling_outputs import MoeCausalLMOutputWithPast, MoeModelOutputWithPast -from transformers.modeling_rope_utils import ROPE_INIT_FUNCTIONS, dynamic_rope_update -from transformers.modeling_utils import ALL_ATTENTION_FUNCTIONS, PreTrainedModel -from transformers.processing_utils import Unpack -from transformers.utils import TransformersKwargs, auto_docstring, can_return_tuple, logging -from transformers.utils.deprecation import deprecate_kwarg -from transformers.utils.generic import OutputRecorder, check_model_inputs -from transformers.utils.import_utils import ( - is_causal_conv1d_available, - is_flash_linear_attention_available, -) -try: - from configuration_qwen3_next import Qwen3NextConfig -except ImportError: - from .configuration_qwen3_next import Qwen3NextConfig - -if is_causal_conv1d_available(): - from causal_conv1d import causal_conv1d_fn, causal_conv1d_update -else: - causal_conv1d_update, causal_conv1d_fn = None, None - -if is_flash_linear_attention_available(): - from fla.modules import FusedRMSNormGated - from fla.ops.gated_delta_rule import chunk_gated_delta_rule, fused_recurrent_gated_delta_rule -else: - chunk_gated_delta_rule, fused_recurrent_gated_delta_rule = None, None - FusedRMSNormGated = None - -logger = logging.get_logger(__name__) - -# ANSI colors for console (custom features log) -_CG = "\033[92m" # green -_CY = "\033[93m" # yellow -_CC = "\033[96m" # cyan -_CR = "\033[0m" # reset - - -def _log_custom_features(config: Qwen3NextConfig) -> None: - """Log attn/rnn RoPE and attn_logits_scaling settings (once per model load).""" - attn_pe = getattr(config, "attn_position_embedding_type", "rope") - rnn_pe = getattr(config, "rnn_position_embedding_type", "nope") - logits_scaling = getattr(config, "attn_logits_scaling", None) - msg = ( - f"{_CG}[Qwen3Next custom]{_CR} " - f"{_CC}attn_position_embedding_type{_CR}={_CY}{attn_pe}{_CR}, " - f"{_CC}rnn_position_embedding_type{_CR}={_CY}{rnn_pe}{_CR}, " - f"{_CC}attn_logits_scaling{_CR}={_CY}{logits_scaling}{_CR}" - ) - logger.info(msg) - - -class Qwen3NextRMSNormGated(nn.Module): - def __init__(self, hidden_size, eps=1e-6, **kwargs): - super().__init__() - self.weight = nn.Parameter(torch.ones(hidden_size)) - self.variance_epsilon = eps - - def forward(self, hidden_states, gate=None): - input_dtype = hidden_states.dtype - hidden_states = hidden_states.to(torch.float32) - variance = hidden_states.pow(2).mean(-1, keepdim=True) - # Norm before gate - hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon) - hidden_states = self.weight * hidden_states.to(input_dtype) - hidden_states = hidden_states * F.silu(gate.to(torch.float32)) - - return hidden_states.to(input_dtype) - - -class Qwen3NextDynamicCache: - """ - A dynamic cache that can handle both the attention cache (which has a seq_len dimension) and the linear attention - cache (which has a constant shape regardless of seq_len). - - This cache has two sets of lists of tensors: `key_cache` and `value_cache` for attention cache and `conv_states` - and `ssm_states` for gated deltanet cache. Each of these lists has `num_layers` tensors. The expected shape for each tensor - For attention layers, `key_cache` and `value_cache` have a shape of `(batch_size, num_heads, seq_len, head_dim)`, - while `conv_states` and `ssm_states` have a shape of `(batch_size, 0)` (empty tensors). - For linear attention layers, `key_cache` and `value_cache` have a shape of `(batch_size, 0)` (empty tensors), - while `conv_states` represents the convolution state and has a shape of `(batch_size, d_inner, d_conv)`, - and `recurrent_states` represents the recurrent state and has a shape of `(batch_size, d_inner, d_state)`. - """ - - is_compileable = False - - def __init__(self, config: Qwen3NextConfig): - super().__init__() - self.layer_types = config.layer_types - self.transformer_layers = [ - i for i in range(config.num_hidden_layers) if self.layer_types[i] == "full_attention" - ] - self.last_linear_layer = len(self.layer_types) - 1 - self.layer_types[::-1].index("linear_attention") - - # Initialize everything to None -> will be lazy initialized to allow multi-gpu (device_map) inference - self.conv_states = [None for _ in range(config.num_hidden_layers)] - self.recurrent_states = [None for _ in range(config.num_hidden_layers)] - self.key_cache = [None for _ in range(config.num_hidden_layers)] - self.value_cache = [None for _ in range(config.num_hidden_layers)] - - def __len__(self): - return len(self.layer_types) - - def __getitem__(self, layer_idx: int) -> tuple[torch.Tensor, torch.Tensor]: - return self.key_cache[layer_idx], self.value_cache[layer_idx] - - def update( - self, - key_states: torch.Tensor, - value_states: torch.Tensor, - layer_idx: int, - cache_kwargs: Optional[dict[str, Any]] = None, - ) -> tuple[torch.Tensor, torch.Tensor]: - if self.key_cache[layer_idx] is None: - self.key_cache[layer_idx] = key_states - self.value_cache[layer_idx] = value_states - else: - self.key_cache[layer_idx] = torch.cat([self.key_cache[layer_idx], key_states], dim=2) - self.value_cache[layer_idx] = torch.cat([self.value_cache[layer_idx], value_states], dim=2) - - return self.key_cache[layer_idx], self.value_cache[layer_idx] - - def reorder_cache(self, beam_idx: torch.LongTensor): - """Reorders the cache for beam search, given the selected beam indices.""" - for layer_idx in range(len(self.key_cache)): - if self.key_cache[layer_idx] is not None: - device = self.key_cache[layer_idx].device - beam_idx = beam_idx.to(device) - self.key_cache[layer_idx] = self.key_cache[layer_idx].index_select(0, beam_idx) - self.value_cache[layer_idx] = self.value_cache[layer_idx].index_select(0, beam_idx) - - if self.conv_states[layer_idx] is not None: - device = self.conv_states[layer_idx].device - beam_idx = beam_idx.to(device) - self.conv_states[layer_idx] = self.conv_states[layer_idx].index_select(0, beam_idx) - self.recurrent_states[layer_idx] = self.recurrent_states[layer_idx].index_select(0, beam_idx) - - def get_seq_length(self, layer_idx: Optional[int] = 0) -> int: - """Returns the sequence length of the cached states. A layer index can be optionally passed.""" - # take any layer that contains cache and not empty tensor - layer_idx = self.transformer_layers[0] if layer_idx not in self.transformer_layers else layer_idx - if len(self.key_cache) <= layer_idx or self.key_cache[layer_idx] is None: - return 0 - return self.key_cache[layer_idx].shape[-2] - - def get_mask_sizes(self, cache_position: torch.Tensor, layer_idx: int) -> tuple[int, int]: - """ - Return a tuple (kv_length, kv_offset) corresponding to the length and offset that will be returned for - the given layer at `layer_idx`. - The masks are then prepared according to the given lengths (kv_length, kv_offset) and patterns for each layer. - """ - kv_offset = 0 - query_length = cache_position.shape[0] - past_seen_tokens = self.get_seq_length(layer_idx) - kv_length = query_length + past_seen_tokens - return kv_length, kv_offset - - @property - def has_previous_state(self): - """We have a previous state if the last linear (conv) layer was already updated.""" - return self.conv_states[self.last_linear_layer] is not None - - -class Qwen3NextRotaryEmbedding(nn.Module): - inv_freq: torch.Tensor # fix linting for `register_buffer` - - def __init__(self, config: Qwen3NextConfig, device=None): - super().__init__() - # BC: "rope_type" was originally "type" - if hasattr(config, "rope_scaling") and isinstance(config.rope_scaling, dict): - self.rope_type = config.rope_scaling.get("rope_type", config.rope_scaling.get("type")) - else: - self.rope_type = "default" - self.max_seq_len_cached = config.max_position_embeddings - self.original_max_seq_len = config.max_position_embeddings - - self.config = config - self.rope_init_fn = ROPE_INIT_FUNCTIONS[self.rope_type] - - inv_freq, self.attention_scaling = self.rope_init_fn(self.config, device) - self.register_buffer("inv_freq", inv_freq, persistent=False) - self.original_inv_freq = self.inv_freq - - @torch.no_grad() - @dynamic_rope_update # power user: used with advanced RoPE types (e.g. dynamic rope) - def forward(self, x, position_ids): - inv_freq_expanded = self.inv_freq[None, :, None].float().expand(position_ids.shape[0], -1, 1).to(x.device) - position_ids_expanded = position_ids[:, None, :].float() - - device_type = x.device.type if isinstance(x.device.type, str) and x.device.type != "mps" else "cpu" - with torch.autocast(device_type=device_type, enabled=False): # Force float32 - freqs = (inv_freq_expanded.float() @ position_ids_expanded.float()).transpose(1, 2) - emb = torch.cat((freqs, freqs), dim=-1) - cos = emb.cos() * self.attention_scaling - sin = emb.sin() * self.attention_scaling - - return cos.to(dtype=x.dtype), sin.to(dtype=x.dtype) - - -class Qwen3NextRMSNorm(nn.Module): - def __init__(self, dim: int, eps: float = 1e-6): - super().__init__() - self.eps = eps - self.weight = nn.Parameter(torch.zeros(dim)) - - def _norm(self, x): - return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps) - - def forward(self, x): - output = self._norm(x.float()) - # Llama does x.to(float16) * w whilst Qwen3Next is (x * w).to(float16) - # See https://github.com/huggingface/transformers/pull/29402 - output = output * (1.0 + self.weight.float()) - return output.type_as(x) - - def extra_repr(self): - return f"{tuple(self.weight.shape)}, eps={self.eps}" - - -class LlamaRMSNorm(nn.Module): # Copy from Llama - def __init__(self, hidden_size, eps=1e-6): - super().__init__() - self.weight = nn.Parameter(torch.ones(hidden_size)) - self.variance_epsilon = eps - - def forward(self, hidden_states): - input_dtype = hidden_states.dtype - hidden_states = hidden_states.to(torch.float32) - variance = hidden_states.pow(2).mean(-1, keepdim=True) - hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon) - return self.weight * hidden_states.to(input_dtype) - - -def rotate_half(x): - """Rotates half the hidden dims of the input.""" - x1 = x[..., : x.shape[-1] // 2] - x2 = x[..., x.shape[-1] // 2 :] - return torch.cat((-x2, x1), dim=-1) - - -# Adapted from transformers.models.glm.modular_glm.apply_rotary_pos_emb -def apply_rotary_pos_emb(q, k, cos, sin, position_ids=None, unsqueeze_dim=1): - """Applies Rotary Position Embedding to the query and key tensors. - - Removes the interleaving of cos and sin from GLM - - Args: - q (`torch.Tensor`): The query tensor. - k (`torch.Tensor`): The key tensor. - cos (`torch.Tensor`): The cosine part of the rotary embedding. - sin (`torch.Tensor`): The sine part of the rotary embedding. - position_ids (`torch.Tensor`, *optional*): - Deprecated and unused. - unsqueeze_dim (`int`, *optional*, defaults to 1): - The 'unsqueeze_dim' argument specifies the dimension along which to unsqueeze cos[position_ids] and - sin[position_ids] so that they can be properly broadcasted to the dimensions of q and k. For example, note - that cos[position_ids] and sin[position_ids] have the shape [batch_size, seq_len, head_dim]. Then, if q and - k have the shape [batch_size, heads, seq_len, head_dim], then setting unsqueeze_dim=1 makes - cos[position_ids] and sin[position_ids] broadcastable to the shapes of q and k. Similarly, if q and k have - the shape [batch_size, seq_len, heads, head_dim], then set unsqueeze_dim=2. - Returns: - `tuple(torch.Tensor)` comprising of the query and key tensors rotated using the Rotary Position Embedding. - """ - cos = cos.unsqueeze(unsqueeze_dim) - sin = sin.unsqueeze(unsqueeze_dim) - - # Keep half or full tensor for later concatenation - rotary_dim = cos.shape[-1] - q_rot, q_pass = q[..., :rotary_dim], q[..., rotary_dim:] - k_rot, k_pass = k[..., :rotary_dim], k[..., rotary_dim:] - - # Apply rotary embeddings on the first half or full tensor - q_embed = (q_rot * cos) + (rotate_half(q_rot) * sin) - k_embed = (k_rot * cos) + (rotate_half(k_rot) * sin) - - # Concatenate back to full shape - q_embed = torch.cat([q_embed, q_pass], dim=-1) - k_embed = torch.cat([k_embed, k_pass], dim=-1) - return q_embed, k_embed - - -def repeat_kv(hidden_states: torch.Tensor, n_rep: int) -> torch.Tensor: - """ - This is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). The hidden states go from (batch, - num_key_value_heads, seqlen, head_dim) to (batch, num_attention_heads, seqlen, head_dim) - """ - batch, num_key_value_heads, slen, head_dim = hidden_states.shape - if n_rep == 1: - return hidden_states - hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim) - return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim) - - -def eager_attention_forward( - module: nn.Module, - query: torch.Tensor, - key: torch.Tensor, - value: torch.Tensor, - attention_mask: Optional[torch.Tensor], - scaling: float, - dropout: float = 0.0, - **kwargs: Unpack[TransformersKwargs], -): - key_states = repeat_kv(key, module.num_key_value_groups) - value_states = repeat_kv(value, module.num_key_value_groups) - - attn_weights = torch.matmul(query, key_states.transpose(2, 3)) * scaling - if attention_mask is not None: - causal_mask = attention_mask[:, :, :, : key_states.shape[-2]] - attn_weights = attn_weights + causal_mask - - attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query.dtype) - attn_weights = nn.functional.dropout(attn_weights, p=dropout, training=module.training) - attn_output = torch.matmul(attn_weights, value_states) - attn_output = attn_output.transpose(1, 2).contiguous() - - return attn_output, attn_weights - - -class Qwen3NextAttention(nn.Module): - """Multi-headed attention from 'Attention Is All You Need' paper""" - - def __init__(self, config: Qwen3NextConfig, layer_idx: int): - super().__init__() - self.config = config - self.layer_idx = layer_idx - self.head_dim = getattr(config, "head_dim", config.hidden_size // config.num_attention_heads) - self.num_key_value_groups = config.num_attention_heads // config.num_key_value_heads - self.scaling = self.head_dim**-0.5 - self.attention_dropout = config.attention_dropout - self.is_causal = True - self.attn_output_gate = config.attn_output_gate - self.q_proj = nn.Linear( - config.hidden_size, config.num_attention_heads * self.head_dim * (1 + self.attn_output_gate), bias=config.attention_bias - ) - self.k_proj = nn.Linear( - config.hidden_size, config.num_key_value_heads * self.head_dim, bias=config.attention_bias - ) - self.v_proj = nn.Linear( - config.hidden_size, config.num_key_value_heads * self.head_dim, bias=config.attention_bias - ) - self.o_proj = nn.Linear( - config.num_attention_heads * self.head_dim, config.hidden_size, bias=False - ) - self.enable_qk_norm = config.enable_qk_norm - if self.enable_qk_norm: - self.q_norm = Qwen3NextRMSNorm(self.head_dim, eps=config.rms_norm_eps) # unlike olmo, only on the head dim! - self.k_norm = Qwen3NextRMSNorm(self.head_dim, eps=config.rms_norm_eps) # thus post q_norm does not need reshape - else: - self.q_norm = None - self.k_norm = None - - # Separate RoPE for attention: "rope" or "nope" (no RoPE) - self.attn_position_embedding_type = getattr(config, "attn_position_embedding_type", "rope") - # Optional logits scaling for length extrapolation: None, float, or "log" / "log " - self.attn_logits_scaling = getattr(config, "attn_logits_scaling", None) - - # Token shift on Q/K/V after projection (cannon layer, conv mode); per-head conv (head_dim, 1, kernel_size) - kernel_size = getattr(config, "token_shift_conv_size", 4) - self.attn_q_token_shift = getattr(config, "attn_q_token_shift", None) - self.attn_k_token_shift = getattr(config, "attn_k_token_shift", None) - self.attn_v_token_shift = getattr(config, "attn_v_token_shift", None) - if self.attn_q_token_shift == "conv": - self.q_token_shift_conv = nn.Conv1d( - self.head_dim, - self.head_dim, - kernel_size=kernel_size, - padding=0, - groups=self.head_dim, - bias=False, - ) - else: - self.q_token_shift_conv = None - if self.attn_k_token_shift == "conv": - self.k_token_shift_conv = nn.Conv1d( - self.head_dim, - self.head_dim, - kernel_size=kernel_size, - padding=0, - groups=self.head_dim, - bias=False, - ) - else: - self.k_token_shift_conv = None - if self.attn_v_token_shift == "conv": - self.v_token_shift_conv = nn.Conv1d( - self.head_dim, - self.head_dim, - kernel_size=kernel_size, - padding=0, - groups=self.head_dim, - bias=False, - ) - else: - self.v_token_shift_conv = None - - @deprecate_kwarg("past_key_value", new_name="past_key_values", version="4.58") - def forward( - self, - hidden_states: torch.Tensor, - position_embeddings: tuple[torch.Tensor, torch.Tensor], - attention_mask: Optional[torch.Tensor], - past_key_values: Optional[Cache] = None, - cache_position: Optional[torch.LongTensor] = None, - **kwargs: Unpack[FlashAttentionKwargs], - ) -> tuple[torch.Tensor, Optional[torch.Tensor]]: - input_shape = hidden_states.shape[:-1] - hidden_shape = (*input_shape, -1, self.head_dim) - - if self.attn_output_gate: - query_states, gate = torch.chunk( - self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim * 2), 2, dim=-1 - ) - gate = gate.reshape(*input_shape, -1) - else: - query_states = self.q_proj(hidden_states).view(*input_shape, -1, self.head_dim) - gate = None - - if self.enable_qk_norm: - query_states = self.q_norm(query_states.view(hidden_shape)).transpose(1, 2) - key_states = self.k_norm(self.k_proj(hidden_states).view(hidden_shape)).transpose(1, 2) - else: - query_states = query_states.view(hidden_shape).transpose(1, 2) - key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2) - - value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2) - - # Token shift on Q/K/V (cannon layer, conv mode): [batch, heads, seq, head_dim] -> [batch*heads, head_dim, seq] - if self.attn_q_token_shift == "conv" and self.q_token_shift_conv is not None: - b, nh, sq, hn = query_states.shape - q_bcl = query_states.reshape(b * nh, hn, sq) - q_bcl = apply_causal_depthwise_conv1d_bcl(q_bcl, self.q_token_shift_conv.weight) - query_states = q_bcl.reshape(b, nh, hn, sq).permute(0, 1, 3, 2).contiguous() - if self.attn_k_token_shift == "conv" and self.k_token_shift_conv is not None: - b, ng, sq, hn = key_states.shape - k_bcl = key_states.reshape(b * ng, hn, sq) - k_bcl = apply_causal_depthwise_conv1d_bcl(k_bcl, self.k_token_shift_conv.weight) - key_states = k_bcl.reshape(b, ng, hn, sq).permute(0, 1, 3, 2).contiguous() - if self.attn_v_token_shift == "conv" and self.v_token_shift_conv is not None: - b, ng, sq, hn = value_states.shape - v_bcl = value_states.reshape(b * ng, hn, sq) - v_bcl = apply_causal_depthwise_conv1d_bcl(v_bcl, self.v_token_shift_conv.weight) - value_states = v_bcl.reshape(b, ng, hn, sq).permute(0, 1, 3, 2).contiguous() - - cos, sin = position_embeddings - if self.attn_position_embedding_type == "rope": - query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin) - # when "nope", do not apply RoPE - - if past_key_values is not None: - # sin and cos are specific to RoPE models; cache_position needed for the static cache - cache_kwargs = {"sin": sin, "cos": cos, "cache_position": cache_position} - key_states, value_states = past_key_values.update(key_states, value_states, self.layer_idx, cache_kwargs) - - # Optional logits scaling for length extrapolation (before attention, same as FLA) - if self.attn_logits_scaling is not None: - if isinstance(self.attn_logits_scaling, (int, float)): - query_states = query_states * float(self.attn_logits_scaling) - elif isinstance(self.attn_logits_scaling, str): - position_ids = kwargs.get("position_ids") - if position_ids is None: - batch_size, num_heads, seq_len, _ = query_states.shape - position_ids = torch.arange( - seq_len, device=query_states.device, dtype=torch.long - ).unsqueeze(0).expand(batch_size, -1) - logger.warning_once( - "attn_logits_scaling uses position-dependent scaling but position_ids was not passed; " - "using arange(0, seq_len). Pass position_ids for correct behavior with padding." - ) - parts = self.attn_logits_scaling.split() - a = float(parts[1]) if len(parts) > 1 else 362.0 - position_ids_f = position_ids.to(device=query_states.device, dtype=torch.float32) - scale = (torch.log(position_ids_f + a) / math.log(a)).to(query_states.dtype) - # query_states: (B, H, T, D); scale: (B, T) -> broadcast - query_states = query_states * scale.unsqueeze(1).unsqueeze(-1) - else: - raise TypeError( - f"attn_logits_scaling must be float, str or None, got {type(self.attn_logits_scaling)}" - ) - - attention_interface: Callable = eager_attention_forward - if self.config._attn_implementation != "eager": - attention_interface = ALL_ATTENTION_FUNCTIONS[self.config._attn_implementation] - - attn_output, attn_weights = attention_interface( - self, - query_states, - key_states, - value_states, - attention_mask, - dropout=0.0 if not self.training else self.attention_dropout, - scaling=self.scaling, - **kwargs, - ) - - if self.attn_output_gate: - attn_output = attn_output.reshape(*input_shape, -1).contiguous() - attn_output = attn_output * torch.sigmoid(gate) - else: - attn_output = attn_output.reshape(*input_shape, -1).contiguous() - - attn_output = self.o_proj(attn_output) - return attn_output, attn_weights - - -def apply_mask_to_padding_states(hidden_states, attention_mask): - """ - Tunes out the hidden states for padding tokens, see https://github.com/state-spaces/mamba/issues/66 - """ - if attention_mask is not None and attention_mask.shape[1] > 1 and attention_mask.shape[0] > 1: - dtype = hidden_states.dtype - hidden_states = (hidden_states * attention_mask[:, :, None]).to(dtype) - - return hidden_states - - -is_fast_path_available = all( - (causal_conv1d_fn, causal_conv1d_update, chunk_gated_delta_rule, fused_recurrent_gated_delta_rule) -) - - -def torch_causal_conv1d_update( - hidden_states, - conv_state, - weight, - bias=None, - activation=None, -): - _, hidden_size, seq_len = hidden_states.shape - state_len = conv_state.shape[-1] - - hidden_states_new = torch.cat([conv_state, hidden_states], dim=-1).to(weight.dtype) - conv_state.copy_(hidden_states_new[:, :, -state_len:]) - out = F.conv1d(hidden_states_new, weight.unsqueeze(1), bias, padding=0, groups=hidden_size) - out = F.silu(out[:, :, -seq_len:]) - out = out.to(hidden_states.dtype) - return out - - -def apply_causal_depthwise_conv1d_bcl( - x_bcl: torch.Tensor, - weight_c1w: torch.Tensor, -) -> torch.Tensor: - """Apply causal depthwise Conv1d for token shifting. Aligns with Megatron cannon layer. - - x_bcl: [B, C, L], weight_c1w: [C, 1, W]. Output: [B, C, L]. - """ - if causal_conv1d_fn is not None: - return causal_conv1d_fn( - x=x_bcl, - weight=weight_c1w.squeeze(1), - bias=None, - activation=None, - ) - w = weight_c1w.shape[-1] - x_pad = F.pad(x_bcl, (w - 1, 0)) - y = F.conv1d( - x_pad, - weight_c1w, - bias=None, - stride=1, - padding=0, - groups=weight_c1w.shape[0], - ) - return y[..., : x_bcl.shape[-1]] - - -def l2norm(x: torch.FloatTensor, dim: int = -1, eps: float = 1e-6): - """This function is intended to align with the l2norm implementation in the FLA library.""" - inv_norm = 1 / torch.sqrt((x * x).sum(dim=dim, keepdim=True) + eps) - return x * inv_norm - - -def torch_chunk_gated_delta_rule( - query, - key, - value, - g, - beta, - chunk_size=64, - initial_state=None, - output_final_state=False, - use_qk_l2norm_in_kernel=False, -): - initial_dtype = query.dtype - if use_qk_l2norm_in_kernel: - query = l2norm(query, dim=-1, eps=1e-6) - key = l2norm(key, dim=-1, eps=1e-6) - query, key, value, beta, g = [ - x.transpose(1, 2).contiguous().to(torch.float32) for x in (query, key, value, beta, g) - ] - - batch_size, sequence_length, num_heads, k_head_dim = key.shape - v_head_dim = value.shape[-1] - pad_size = (chunk_size - num_heads % chunk_size) % chunk_size - query = F.pad(query, (0, 0, 0, pad_size)) - key = F.pad(key, (0, 0, 0, pad_size)) - value = F.pad(value, (0, 0, 0, pad_size)) - beta = F.pad(beta, (0, pad_size)) - g = F.pad(g, (0, pad_size)) - tot_heads = num_heads + pad_size - scale = 1 / (query.shape[-1] ** 0.5) - query = query * scale - - v_beta = value * beta.unsqueeze(-1) - k_beta = key * beta.unsqueeze(-1) - # reshape to chunks - query, key, value, k_beta, v_beta = [ - x.reshape(x.shape[0], x.shape[1], -1, chunk_size, x.shape[-1]) for x in (query, key, value, k_beta, v_beta) - ] - g = g.reshape(g.shape[0], g.shape[1], -1, chunk_size) - mask = torch.triu(torch.ones(chunk_size, chunk_size, dtype=torch.bool, device=query.device), diagonal=0) - - # chunk decay - g = g.cumsum(dim=-1) - decay_mask = ((g.unsqueeze(-1) - g.unsqueeze(-2)).tril().exp().float()).tril() - attn = -((k_beta @ key.transpose(-1, -2)) * decay_mask).masked_fill(mask, 0) - for i in range(1, chunk_size): - row = attn[..., i, :i].clone() - sub = attn[..., :i, :i].clone() - attn[..., i, :i] = row + (row.unsqueeze(-1) * sub).sum(-2) - attn = attn + torch.eye(chunk_size, dtype=attn.dtype, device=attn.device) - value = attn @ v_beta - k_cumdecay = attn @ (k_beta * g.exp().unsqueeze(-1)) - last_recurrent_state = ( - torch.zeros(batch_size, sequence_length, k_head_dim, v_head_dim).to(value) - if initial_state is None - else initial_state.to(value) - ) - core_attn_out = torch.zeros_like(value) - mask = torch.triu(torch.ones(chunk_size, chunk_size, dtype=torch.bool, device=query.device), diagonal=1) - - # for each chunk - for i in range(0, tot_heads // chunk_size): - q_i, k_i, v_i = query[:, :, i], key[:, :, i], value[:, :, i] - attn = (q_i @ k_i.transpose(-1, -2) * decay_mask[:, :, i]).masked_fill_(mask, 0) - v_prime = (k_cumdecay[:, :, i]) @ last_recurrent_state - v_new = v_i - v_prime - attn_inter = (q_i * g[:, :, i, :, None].exp()) @ last_recurrent_state - core_attn_out[:, :, i] = attn_inter + attn @ v_new - last_recurrent_state = ( - last_recurrent_state * g[:, :, i, -1, None, None].exp() - + (k_i * (g[:, :, i, -1, None] - g[:, :, i]).exp()[..., None]).transpose(-1, -2) @ v_new - ) - - if not output_final_state: - last_recurrent_state = None - core_attn_out = core_attn_out.reshape(core_attn_out.shape[0], core_attn_out.shape[1], -1, core_attn_out.shape[-1]) - core_attn_out = core_attn_out[:, :, :num_heads] - core_attn_out = core_attn_out.transpose(1, 2).contiguous().to(initial_dtype) - return core_attn_out, last_recurrent_state - - -def torch_recurrent_gated_delta_rule( - query, key, value, g, beta, initial_state, output_final_state, use_qk_l2norm_in_kernel=False -): - initial_dtype = query.dtype - if use_qk_l2norm_in_kernel: - query = l2norm(query, dim=-1, eps=1e-6) - key = l2norm(key, dim=-1, eps=1e-6) - query, key, value, beta, g = [ - x.transpose(1, 2).contiguous().to(torch.float32) for x in (query, key, value, beta, g) - ] - - batch_size, sequence_length, num_heads, k_head_dim = key.shape - v_head_dim = value.shape[-1] - scale = 1 / (query.shape[-1] ** 0.5) - query = query * scale - - core_attn_out = torch.zeros(batch_size, sequence_length, num_heads, v_head_dim).to(value) - last_recurrent_state = ( - torch.zeros(batch_size, sequence_length, k_head_dim, v_head_dim).to(value) - if initial_state is None - else initial_state.to(value) - ) - - for i in range(num_heads): - q_t = query[:, :, i] - k_t = key[:, :, i] - v_t = value[:, :, i] - g_t = g[:, :, i].exp().unsqueeze(-1).unsqueeze(-1) - beta_t = beta[:, :, i].unsqueeze(-1) - - last_recurrent_state = last_recurrent_state * g_t - kv_mem = (last_recurrent_state * k_t.unsqueeze(-1)).sum(dim=-2) - delta = (v_t - kv_mem) * beta_t - last_recurrent_state = last_recurrent_state + k_t.unsqueeze(-1) * delta.unsqueeze(-2) - core_attn_out[:, :, i] = (last_recurrent_state * q_t.unsqueeze(-1)).sum(dim=-2) - - if not output_final_state: - last_recurrent_state = None - core_attn_out = core_attn_out.transpose(1, 2).contiguous().to(initial_dtype) - return core_attn_out, last_recurrent_state - - -class Qwen3NextGatedDeltaNet(nn.Module): - def __init__(self, config: Qwen3NextConfig, layer_idx: int): - super().__init__() - self.hidden_size = config.hidden_size - self.num_v_heads = config.linear_num_value_heads - self.num_k_heads = config.linear_num_key_heads - self.head_k_dim = config.linear_key_head_dim - self.head_v_dim = config.linear_value_head_dim - self.key_dim = self.head_k_dim * self.num_k_heads - self.value_dim = self.head_v_dim * self.num_v_heads - - self.conv_kernel_size = config.linear_conv_kernel_dim - self.layer_idx = layer_idx - - # Optional RoPE for linear/RNN path: "rope" or "nope" (same as FLA rnn_position_embedding_type) - self.rnn_position_embedding_type = getattr(config, "rnn_position_embedding_type", "nope") - rope_theta = getattr(config, "rope_theta", 10000.0) - if self.rnn_position_embedding_type == "rope": - inv_freq = 1.0 / ( - rope_theta ** (torch.arange(0, self.head_k_dim, 2, dtype=torch.float32) / self.head_k_dim) - ) - self.register_buffer("_inv_freq", inv_freq, persistent=False) - else: - self._inv_freq = None - self.activation = config.hidden_act - self.act = ACT2FN[config.hidden_act] - self.layer_norm_epsilon = config.rms_norm_eps - - # QKV - self.conv_dim = self.key_dim * 2 + self.value_dim - self.conv1d = nn.Conv1d( - in_channels=self.conv_dim, - out_channels=self.conv_dim, - bias=False, - kernel_size=self.conv_kernel_size, - groups=self.conv_dim, - padding=self.conv_kernel_size - 1, - ) - - # projection of the input hidden states - projection_size_qkvz = self.key_dim * 2 + self.value_dim * 2 - projection_size_ba = self.num_v_heads * 2 - self.in_proj_qkvz = nn.Linear(self.hidden_size, projection_size_qkvz, bias=False) - self.in_proj_ba = nn.Linear(self.hidden_size, projection_size_ba, bias=False) - - # time step projection (discretization) - # instantiate once and copy inv_dt in init_weights of PretrainedModel - self.dt_bias = nn.Parameter(torch.ones(self.num_v_heads)) - - A = torch.empty(self.num_v_heads).uniform_(0, 16) - self.A_log = nn.Parameter(torch.log(A)) - - # self.norm = FusedRMSNormGated(self.head_v_dim, eps=self.layer_norm_epsilon) - self.norm = ( - Qwen3NextRMSNormGated(self.head_v_dim, eps=self.layer_norm_epsilon) - if FusedRMSNormGated is None - else FusedRMSNormGated( - self.head_v_dim, - eps=self.layer_norm_epsilon, - activation=self.activation, - device=torch.cuda.current_device(), - dtype=config.dtype if config.dtype is not None else torch.get_current_dtype(), - ) - ) - - self.out_proj = nn.Linear(self.value_dim, self.hidden_size, bias=False) - - self.causal_conv1d_fn = causal_conv1d_fn - self.causal_conv1d_update = causal_conv1d_update or torch_causal_conv1d_update - self.chunk_gated_delta_rule = chunk_gated_delta_rule or torch_chunk_gated_delta_rule - self.recurrent_gated_delta_rule = fused_recurrent_gated_delta_rule or torch_recurrent_gated_delta_rule - - if not is_fast_path_available: - logger.warning_once( - "The fast path is not available because one of the required library is not installed. Falling back to " - "torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and" - " https://github.com/Dao-AILab/causal-conv1d" - ) - - def fix_query_key_value_ordering(self, mixed_qkvz, mixed_ba): - """ - Derives `query`, `key` and `value` tensors from `mixed_qkvz` and `mixed_ba`. - """ - # (b, s, d_model) -> (b, s, num_k_heads, 2 * head_k_dim + 2 * head_v_dim * num_v_heads // num_k_heads) - new_tensor_shape_qkvz = mixed_qkvz.size()[:-1] + ( - self.num_k_heads, - 2 * self.head_k_dim + 2 * self.head_v_dim * self.num_v_heads // self.num_k_heads, - ) - new_tensor_shape_ba = mixed_ba.size()[:-1] + (self.num_k_heads, 2 * self.num_v_heads // self.num_k_heads) - - mixed_qkvz = mixed_qkvz.view(*new_tensor_shape_qkvz) - mixed_ba = mixed_ba.view(*new_tensor_shape_ba) - split_arg_list_qkvz = [ - self.head_k_dim, - self.head_k_dim, - (self.num_v_heads // self.num_k_heads * self.head_v_dim), - (self.num_v_heads // self.num_k_heads * self.head_v_dim), - ] - split_arg_list_ba = [self.num_v_heads // self.num_k_heads, self.num_v_heads // self.num_k_heads] - query, key, value, z = torch.split(mixed_qkvz, split_arg_list_qkvz, dim=3) - b, a = torch.split(mixed_ba, split_arg_list_ba, dim=3) - # [b, sq, ng, np/ng * hn] -> [b, sq, np, hn] - value = value.reshape(value.size(0), value.size(1), -1, self.head_v_dim) - z = z.reshape(z.size(0), z.size(1), -1, self.head_v_dim) - b = b.reshape(b.size(0), b.size(1), self.num_v_heads) - a = a.reshape(a.size(0), a.size(1), self.num_v_heads) - return query, key, value, z, b, a - - def forward( - self, - hidden_states: torch.Tensor, - cache_params: Optional[Qwen3NextDynamicCache] = None, - cache_position: Optional[torch.LongTensor] = None, - attention_mask: Optional[torch.Tensor] = None, - position_ids: Optional[torch.LongTensor] = None, - ): - hidden_states = apply_mask_to_padding_states(hidden_states, attention_mask) - - # Set up dimensions for reshapes later - batch_size, seq_len, _ = hidden_states.shape - - use_precomputed_states = ( - cache_params is not None - and cache_params.has_previous_state - and seq_len == 1 - and cache_position is not None - ) - - # getting projected states from cache if it exists - if cache_params is not None: - conv_state = cache_params.conv_states[self.layer_idx] - recurrent_state = cache_params.recurrent_states[self.layer_idx] - - projected_states_qkvz = self.in_proj_qkvz(hidden_states) - projected_states_ba = self.in_proj_ba(hidden_states) - query, key, value, z, b, a = self.fix_query_key_value_ordering(projected_states_qkvz, projected_states_ba) - query, key, value = (x.reshape(x.shape[0], x.shape[1], -1) for x in (query, key, value)) - - mixed_qkv = torch.cat((query, key, value), dim=-1) - mixed_qkv = mixed_qkv.transpose(1, 2) - - if use_precomputed_states: - # 2. Convolution sequence transformation - # NOTE: the conv state is updated in `causal_conv1d_update` - mixed_qkv = self.causal_conv1d_update( - mixed_qkv, - conv_state, - self.conv1d.weight.squeeze(1), - self.conv1d.bias, - self.activation, - ) - else: - if cache_params is not None: - conv_state = F.pad(mixed_qkv, (self.conv_kernel_size - mixed_qkv.shape[-1], 0)) - cache_params.conv_states[self.layer_idx] = conv_state - if self.causal_conv1d_fn is not None: - mixed_qkv = self.causal_conv1d_fn( - x=mixed_qkv, - weight=self.conv1d.weight.squeeze(1), - bias=self.conv1d.bias, - activation=self.activation, - seq_idx=None, - ) - else: - mixed_qkv = F.silu(self.conv1d(mixed_qkv)[:, :, :seq_len]) - - mixed_qkv = mixed_qkv.transpose(1, 2) - query, key, value = torch.split( - mixed_qkv, - [ - self.key_dim, - self.key_dim, - self.value_dim, - ], - dim=-1, - ) - query = query.reshape(query.shape[0], query.shape[1], -1, self.head_k_dim) - key = key.reshape(key.shape[0], key.shape[1], -1, self.head_k_dim) - value = value.reshape(value.shape[0], value.shape[1], -1, self.head_v_dim) - - # Optional RoPE for linear/RNN (same as FLA GatedDeltaNet when rnn_position_embedding_type=="rope") - if self._inv_freq is not None and position_ids is not None: - # query, key: (batch, seq, num_k_heads, head_k_dim); need cos, sin (batch, seq, head_k_dim) - inv_freq = self._inv_freq.to(query.device) - freqs = position_ids[:, :, None].float() * inv_freq[None, None, :] - emb = torch.cat([freqs, freqs], dim=-1) - cos = emb.cos().to(query.dtype) - sin = emb.sin().to(query.dtype) - query, key = apply_rotary_pos_emb(query, key, cos, sin, unsqueeze_dim=2) - - beta = b.sigmoid() - # If the model is loaded in fp16, without the .float() here, A might be -inf - g = -self.A_log.float().exp() * F.softplus(a.float() + self.dt_bias) - if self.num_v_heads // self.num_k_heads > 1: - query = query.repeat_interleave(self.num_v_heads // self.num_k_heads, dim=2) - key = key.repeat_interleave(self.num_v_heads // self.num_k_heads, dim=2) - - if not use_precomputed_states: - core_attn_out, last_recurrent_state = self.chunk_gated_delta_rule( - query, - key, - value, - g=g, - beta=beta, - initial_state=None, - output_final_state=cache_params is not None, - use_qk_l2norm_in_kernel=True, - ) - - else: - core_attn_out, last_recurrent_state = self.recurrent_gated_delta_rule( - query, - key, - value, - g=g, - beta=beta, - initial_state=recurrent_state, - output_final_state=cache_params is not None, - use_qk_l2norm_in_kernel=True, - ) - # Update cache - if cache_params is not None: - cache_params.recurrent_states[self.layer_idx] = last_recurrent_state - - z_shape_og = z.shape - # reshape input data into 2D tensor - # core_attn_out = core_attn_out.reshape(-1, core_attn_out.shape[-1]) - # z = z.reshape(-1, z.shape[-1]) - core_attn_out = core_attn_out - z = z - core_attn_out = self.norm(core_attn_out, z) - - core_attn_out = core_attn_out.reshape(z_shape_og) - core_attn_out = core_attn_out.reshape(core_attn_out.shape[0], core_attn_out.shape[1], -1) - - output = self.out_proj(core_attn_out) - return output - - -class Qwen3NextMLP(nn.Module): - def __init__(self, config, intermediate_size=None): - super().__init__() - self.config = config - self.hidden_size = config.hidden_size - self.intermediate_size = intermediate_size if intermediate_size is not None else config.intermediate_size - self.gate_proj = nn.Linear(self.hidden_size, self.intermediate_size, bias=False) - self.up_proj = nn.Linear(self.hidden_size, self.intermediate_size, bias=False) - self.down_proj = nn.Linear(self.intermediate_size, self.hidden_size, bias=False) - self.act_fn = ACT2FN[config.hidden_act] - - # Token shifting (cannon layer): conv mode adds depthwise Conv1d - self.ffn_token_shift = getattr(config, "ffn_token_shift", None) - self.ffn_intermediate_token_shift = getattr(config, "ffn_intermediate_token_shift", None) - kernel_size = getattr(config, "token_shift_conv_size", 4) - if self.ffn_token_shift == "conv": - self.token_shift_conv = nn.Conv1d( - self.hidden_size, - self.hidden_size, - kernel_size=kernel_size, - padding=0, - groups=self.hidden_size, - bias=False, - ) - else: - self.token_shift_conv = None - if self.ffn_intermediate_token_shift == "conv": - self.intermediate_token_shift_conv = nn.Conv1d( - self.intermediate_size, - self.intermediate_size, - kernel_size=kernel_size, - padding=0, - groups=self.intermediate_size, - bias=False, - ) - else: - self.intermediate_token_shift_conv = None - - def forward(self, x, per_token_scale=None): - # Token shift at MLP entry (conv mode; cat mode is stateless, not implemented here for loading conv checkpoints) - if self.ffn_token_shift == "conv" and self.token_shift_conv is not None: - # x: [batch, seq, hidden] -> [batch, hidden, seq] - x_bcl = x.transpose(1, 2).contiguous() - x_bcl = apply_causal_depthwise_conv1d_bcl(x_bcl, self.token_shift_conv.weight) - x = x_bcl.transpose(1, 2).contiguous() - - # Compute gate and up projections - gate = self.gate_proj(x) - up = self.up_proj(x) - # Apply activation: act_fn(gate) * up - intermediate = self.act_fn(gate) * up - # Apply per_token_scale if provided (to align with Megatron's behavior) - if per_token_scale is not None: - intermediate = intermediate * per_token_scale.unsqueeze(-1) - - # Intermediate token shift before down_proj (conv mode) - if self.ffn_intermediate_token_shift == "conv" and self.intermediate_token_shift_conv is not None: - inter_bcl = intermediate.transpose(1, 2).contiguous() - inter_bcl = apply_causal_depthwise_conv1d_bcl(inter_bcl, self.intermediate_token_shift_conv.weight) - intermediate = inter_bcl.transpose(1, 2).contiguous() - - # Apply down projection - down_proj = self.down_proj(intermediate) - return down_proj - - -class Qwen3NextSparseMoeBlock(nn.Module): - def __init__(self, config): - super().__init__() - self.num_experts = config.num_experts - self.top_k = config.num_experts_per_tok - self.norm_topk_prob = config.norm_topk_prob - self.score_func = config.moe_router_score_function - - # Token shift at MoE entry (cannon layer, reuses ffn_token_shift) - self.ffn_token_shift = getattr(config, "ffn_token_shift", None) - kernel_size = getattr(config, "token_shift_conv_size", 4) - if self.ffn_token_shift == "conv": - self.token_shift_conv = nn.Conv1d( - config.hidden_size, - config.hidden_size, - kernel_size=kernel_size, - padding=0, - groups=config.hidden_size, - bias=False, - ) - else: - self.token_shift_conv = None - - # gating - self.gate = nn.Linear(config.hidden_size, config.num_experts, bias=config.router_bias) - self.experts = nn.ModuleList( - [Qwen3NextMLP(config, intermediate_size=config.moe_intermediate_size) for _ in range(self.num_experts)] - ) - - if config.shared_expert_intermediate_size > 0: - self.shared_expert = Qwen3NextMLP(config, intermediate_size=config.shared_expert_intermediate_size) - self.shared_expert_gate = torch.nn.Linear(config.hidden_size, 1, bias=False) - else: - self.shared_expert = None - self.shared_expert_gate = None - - def forward(self, hidden_states: torch.Tensor) -> torch.Tensor: - """ """ - batch_size, sequence_length, hidden_dim = hidden_states.shape - - # Token shift at MoE entry (cannon layer, conv mode) - if self.ffn_token_shift == "conv" and self.token_shift_conv is not None: - h_bcl = hidden_states.transpose(1, 2).contiguous() - h_bcl = apply_causal_depthwise_conv1d_bcl(h_bcl, self.token_shift_conv.weight) - hidden_states = h_bcl.transpose(1, 2).contiguous() - - hidden_states = hidden_states.view(-1, hidden_dim) - # router_logits: (batch * sequence_length, n_experts) - router_logits = self.gate(hidden_states) - - if self.score_func == "sigmoid": - routing_weights = torch.sigmoid(router_logits.to(torch.float32)) - elif self.score_func == "softmax": - routing_weights = F.softmax(router_logits.to(torch.float32), dim=-1) - else: - raise NotImplementedError(f"Unknown score function {self.score_func}") - routing_weights, selected_experts = torch.topk(routing_weights, self.top_k, dim=-1) - if self.norm_topk_prob: - routing_weights /= routing_weights.sum(dim=-1, keepdim=True) - # we cast back to the input dtype - routing_weights = routing_weights.to(hidden_states.dtype) - - final_hidden_states = torch.zeros( - (batch_size * sequence_length, hidden_dim), dtype=hidden_states.dtype, device=hidden_states.device - ) - - # One hot encode the selected experts to create an expert mask - # this will be used to easily index which expert is going to be sollicitated - expert_mask = torch.nn.functional.one_hot(selected_experts, num_classes=self.num_experts).permute(2, 1, 0) - - # Loop over all available experts in the model and perform the computation on each expert - expert_hit = torch.greater(expert_mask.sum(dim=(-1, -2)), 0).nonzero() - for expert_idx in expert_hit: - expert_layer = self.experts[expert_idx] - idx, top_x = torch.where(expert_mask[expert_idx].squeeze(0)) - - # Index the correct hidden states and compute the expert hidden state for - # the current expert. - # To align with Megatron: apply routing_weights after activation, before down_proj - # (instead of after the full expert output) - current_state = hidden_states[None, top_x].reshape(-1, hidden_dim) - current_routing_weights = routing_weights[top_x, idx] # [M] where M is num tokens for this expert - # Pass routing_weights as per_token_scale to apply it after activation, before down_proj - current_hidden_states = expert_layer(current_state, per_token_scale=current_routing_weights) - - # However `index_add_` only support torch tensors for indexing so we'll use - # the `top_x` tensor here. - final_hidden_states.index_add_(0, top_x, current_hidden_states.to(hidden_states.dtype)) - - if self.shared_expert is not None: - shared_expert_output = self.shared_expert(hidden_states) - if self.shared_expert_gate is not None: - shared_expert_output = F.sigmoid(self.shared_expert_gate(hidden_states)) * shared_expert_output - - final_hidden_states = final_hidden_states + shared_expert_output - - final_hidden_states = final_hidden_states.reshape(batch_size, sequence_length, hidden_dim) - return final_hidden_states, router_logits - - -class Qwen3NextDecoderLayer(GradientCheckpointingLayer): - def __init__(self, config: Qwen3NextConfig, layer_idx: int): - super().__init__() - self.hidden_size = config.hidden_size - - # token mixer - self.layer_type = config.layer_types[layer_idx] - if self.layer_type == "linear_attention": - self.linear_attn = Qwen3NextGatedDeltaNet(config, layer_idx) - elif self.layer_type == "full_attention": - self.self_attn = Qwen3NextAttention(config, layer_idx) - - if (layer_idx not in config.mlp_only_layers) and ( - config.num_experts > 0 and (layer_idx + 1) % config.decoder_sparse_step == 0 - ): - self.mlp = Qwen3NextSparseMoeBlock(config) - else: - self.mlp = Qwen3NextMLP(config, intermediate_size=config.intermediate_size) - - self.input_layernorm = LlamaRMSNorm(config.hidden_size, eps=config.rms_norm_eps) - self.post_attention_layernorm = LlamaRMSNorm(config.hidden_size, eps=config.rms_norm_eps) - - # Token shift before attention (cannon layer, conv mode) - self.attn_token_shift = getattr(config, "attn_token_shift", None) - kernel_size = getattr(config, "token_shift_conv_size", 4) - if self.attn_token_shift == "conv": - self.attn_token_shift_conv = nn.Conv1d( - config.hidden_size, - config.hidden_size, - kernel_size=kernel_size, - padding=0, - groups=config.hidden_size, - bias=False, - ) - else: - self.attn_token_shift_conv = None - - @deprecate_kwarg("past_key_value", new_name="past_key_values", version="4.58") - def forward( - self, - hidden_states: torch.Tensor, - position_embeddings: tuple[torch.Tensor, torch.Tensor], - attention_mask: Optional[torch.Tensor] = None, - position_ids: Optional[torch.LongTensor] = None, - past_key_values: Optional[tuple[torch.Tensor]] = None, - cache_position: Optional[torch.LongTensor] = None, - **kwargs: Unpack[FlashAttentionKwargs], - ) -> torch.FloatTensor: - """ - Args: - hidden_states (`torch.FloatTensor`): input to the layer of shape `(batch, seq_len, embed_dim)` - attention_mask (`torch.FloatTensor`, *optional*): attention mask of size - `(batch, sequence_length)` where padding elements are indicated by 0. - output_attentions (`bool`, *optional*): - Whether or not to return the attentions tensors of all attention layers. See `attentions` under - returned tensors for more detail. - output_router_logits (`bool`, *optional*): - Whether or not to return the logits of all the routers. They are useful for computing the router loss, - and should not be returned during inference. - use_cache (`bool`, *optional*): - If set to `True`, `past_key_values` key value states are returned and can be used to speed up decoding - (see `past_key_values`). - past_key_values (`Tuple(torch.FloatTensor)`, *optional*): cached past key and value projection states - cache_position (`torch.LongTensor` of shape `(sequence_length)`, *optional*): - Indices depicting the position of the input sequence tokens in the sequence. - position_embeddings (`tuple[torch.FloatTensor, torch.FloatTensor]`, *optional*): - Tuple containing the cosine and sine positional embeddings of shape `(batch_size, seq_len, head_dim)`, - with `head_dim` being the embedding dimension of each attention head. - kwargs (`dict`, *optional*): - Arbitrary kwargs to be ignored, used for FSDP and other methods that injects code - into the model - """ - residual = hidden_states - - hidden_states = self.input_layernorm(hidden_states) - - # Token shift before attention (cannon layer, conv mode) - if self.attn_token_shift == "conv" and self.attn_token_shift_conv is not None: - # [batch, seq, hidden] -> [batch, hidden, seq] - h_bcl = hidden_states.transpose(1, 2).contiguous() - h_bcl = apply_causal_depthwise_conv1d_bcl(h_bcl, self.attn_token_shift_conv.weight) - hidden_states = h_bcl.transpose(1, 2).contiguous() - - # Token Mixer - if self.layer_type == "linear_attention": - hidden_states = self.linear_attn( - hidden_states=hidden_states, - cache_params=past_key_values, - cache_position=cache_position, - attention_mask=attention_mask, - position_ids=position_ids, - ) - elif self.layer_type == "full_attention": - # Self Attention - hidden_states, _ = self.self_attn( - hidden_states=hidden_states, - attention_mask=attention_mask, - position_ids=position_ids, - past_key_values=past_key_values, - cache_position=cache_position, - position_embeddings=position_embeddings, - **kwargs, - ) - - hidden_states = residual + hidden_states - - # Fully Connected - residual = hidden_states - hidden_states = self.post_attention_layernorm(hidden_states) - hidden_states = self.mlp(hidden_states) - # For the MoE layers, we need to unpack - if isinstance(hidden_states, tuple): - hidden_states, _ = hidden_states - hidden_states = residual + hidden_states - - return hidden_states - - -class Qwen3NextPreTrainedModel(PreTrainedModel): - config: Qwen3NextConfig - base_model_prefix = "model" - supports_gradient_checkpointing = True - _no_split_modules = ["Qwen3NextDecoderLayer"] - _skip_keys_device_placement = "past_key_values" - _supports_flash_attn_2 = True - _supports_sdpa = True - _keys_to_ignore_on_load_unexpected = [r"^mtp.*"] - _can_record_outputs = { - "router_logits": OutputRecorder(Qwen3NextSparseMoeBlock, index=1), - "hidden_states": Qwen3NextDecoderLayer, - "attentions": Qwen3NextAttention, - } - _is_stateful = True - - def _init_weights(self, module): - super()._init_weights(module) - if isinstance(module, Qwen3NextGatedDeltaNet): - module.dt_bias.data.fill_(1.0) - module.A_log.data.uniform_(0, 16).log_() - - -class Qwen3NextModel(Qwen3NextPreTrainedModel): - def __init__(self, config: Qwen3NextConfig): - super().__init__(config) - self.embed_tokens = nn.Embedding(config.vocab_size, config.hidden_size, config.pad_token_id) - self.layers = nn.ModuleList( - [Qwen3NextDecoderLayer(config, layer_idx) for layer_idx in range(config.num_hidden_layers)] - ) - self.norm = LlamaRMSNorm(config.hidden_size, eps=config.rms_norm_eps) - self.rotary_emb = Qwen3NextRotaryEmbedding(config=config) - self.gradient_checkpointing = False - # Initialize weights and apply final processing - self.post_init() - _log_custom_features(config) - - # @check_model_inputs - @auto_docstring - def forward( - self, - input_ids: Optional[torch.LongTensor] = None, - attention_mask: Optional[torch.Tensor] = None, - position_ids: Optional[torch.LongTensor] = None, - past_key_values: Optional[Cache] = None, - inputs_embeds: Optional[torch.FloatTensor] = None, - use_cache: Optional[bool] = None, - cache_position: Optional[torch.LongTensor] = None, - **kwargs: Unpack[TransformersKwargs], - ) -> MoeModelOutputWithPast: - if (input_ids is None) ^ (inputs_embeds is not None): - raise ValueError("You must specify exactly one of input_ids or inputs_embeds") - - if inputs_embeds is None: - inputs_embeds = self.embed_tokens(input_ids) - - if use_cache and past_key_values is None: - past_key_values = Qwen3NextDynamicCache(config=self.config) - - if cache_position is None: - past_seen_tokens = past_key_values.get_seq_length() if past_key_values is not None else 0 - cache_position = torch.arange( - past_seen_tokens, past_seen_tokens + inputs_embeds.shape[1], device=inputs_embeds.device - ) - if position_ids is None: - position_ids = cache_position.unsqueeze(0) - - causal_mask = create_causal_mask( - config=self.config, - input_embeds=inputs_embeds, - attention_mask=attention_mask, - cache_position=cache_position, - past_key_values=past_key_values, - position_ids=position_ids, - ) - linear_attn_mask = self._update_linear_attn_mask(attention_mask, cache_position) - - hidden_states = inputs_embeds - - # create position embeddings to be shared across the decoder layers - position_embeddings = self.rotary_emb(hidden_states, position_ids) - - for decoder_layer in self.layers[: self.config.num_hidden_layers]: - layer_mask = linear_attn_mask if decoder_layer.layer_type == "linear_attention" else causal_mask - - hidden_states = decoder_layer( - hidden_states, - position_embeddings=position_embeddings, - attention_mask=layer_mask, - position_ids=position_ids, - past_key_values=past_key_values, - use_cache=use_cache, - cache_position=cache_position, - **kwargs, - ) - - hidden_states = self.norm(hidden_states) - - return MoeModelOutputWithPast( - last_hidden_state=hidden_states, - past_key_values=past_key_values, - ) - - def _update_linear_attn_mask(self, attention_mask, cache_position): - """ - NOTE: Left-padding is used for linear attention mask. - No need for zeroing states when - 1. Cached forward - 2. Attending to all inputs - """ - linear_attn_mask = attention_mask - if cache_position[0] > 0 or (attention_mask is not None and torch.all(attention_mask == 1)): - linear_attn_mask = None - return linear_attn_mask - - -def load_balancing_loss_func( - gate_logits: Union[torch.Tensor, tuple[torch.Tensor], None], - num_experts: Optional[int] = None, - top_k=2, - attention_mask: Optional[torch.Tensor] = None, -) -> Union[torch.Tensor, int]: - r""" - Computes auxiliary load balancing loss as in Switch Transformer - implemented in Pytorch. - - See Switch Transformer (https://huggingface.co/papers/2101.03961) for more details. This function implements the loss - function presented in equations (4) - (6) of the paper. It aims at penalizing cases where the routing between - experts is too unbalanced. - - Args: - gate_logits: - Logits from the `gate`, should be a tuple of model.config.num_hidden_layers tensors of - shape [batch_size X sequence_length, num_experts]. - num_experts: - Number of experts - top_k: - The number of experts to route per-token, can be also interpreted as the `top-k` routing - parameter. - attention_mask (`torch.Tensor`, *optional*): - The attention_mask used in forward function - shape [batch_size X sequence_length] if not None. - - Returns: - The auxiliary loss. - """ - if gate_logits is None or not isinstance(gate_logits, tuple): - return 0 - - if isinstance(gate_logits, tuple): - compute_device = gate_logits[0].device - concatenated_gate_logits = torch.cat([layer_gate.to(compute_device) for layer_gate in gate_logits], dim=0) - - routing_weights = torch.nn.functional.softmax(concatenated_gate_logits, dim=-1) - - _, selected_experts = torch.topk(routing_weights, top_k, dim=-1) - - expert_mask = torch.nn.functional.one_hot(selected_experts, num_experts) - - if attention_mask is None: - # Compute the percentage of tokens routed to each experts - tokens_per_expert = torch.mean(expert_mask.float(), dim=0) - - # Compute the average probability of routing to these experts - router_prob_per_expert = torch.mean(routing_weights, dim=0) - else: - batch_size, sequence_length = attention_mask.shape - num_hidden_layers = concatenated_gate_logits.shape[0] // (batch_size * sequence_length) - - # Compute the mask that masks all padding tokens as 0 with the same shape of expert_mask - expert_attention_mask = ( - attention_mask[None, :, :, None, None] - .expand((num_hidden_layers, batch_size, sequence_length, top_k, num_experts)) - .reshape(-1, top_k, num_experts) - .to(compute_device) - ) - - # Compute the percentage of tokens routed to each experts - tokens_per_expert = torch.sum(expert_mask.float() * expert_attention_mask, dim=0) / torch.sum( - expert_attention_mask, dim=0 - ) - - # Compute the mask that masks all padding tokens as 0 with the same shape of tokens_per_expert - router_per_expert_attention_mask = ( - attention_mask[None, :, :, None] - .expand((num_hidden_layers, batch_size, sequence_length, num_experts)) - .reshape(-1, num_experts) - .to(compute_device) - ) - - # Compute the average probability of routing to these experts - router_prob_per_expert = torch.sum(routing_weights * router_per_expert_attention_mask, dim=0) / torch.sum( - router_per_expert_attention_mask, dim=0 - ) - - overall_loss = torch.sum(tokens_per_expert * router_prob_per_expert.unsqueeze(0)) - return overall_loss * num_experts - - -@auto_docstring -class Qwen3NextForCausalLM(Qwen3NextPreTrainedModel, GenerationMixin): - _tied_weights_keys = ["lm_head.weight"] - _tp_plan = {"lm_head": "colwise_rep"} - _pp_plan = {"lm_head": (["hidden_states"], ["logits"])} - - def __init__(self, config): - super().__init__(config) - self.model = Qwen3NextModel(config) - self.vocab_size = config.vocab_size - self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False) - self.router_aux_loss_coef = config.router_aux_loss_coef - self.num_experts = config.num_experts - self.num_experts_per_tok = config.num_experts_per_tok - - # Initialize weights and apply final processing - self.post_init() - - @can_return_tuple - @auto_docstring - def forward( - self, - input_ids: Optional[torch.LongTensor] = None, - attention_mask: Optional[torch.Tensor] = None, - position_ids: Optional[torch.LongTensor] = None, - past_key_values: Optional[Qwen3NextDynamicCache] = None, - inputs_embeds: Optional[torch.FloatTensor] = None, - labels: Optional[torch.LongTensor] = None, - use_cache: Optional[bool] = None, - output_router_logits: Optional[bool] = None, - cache_position: Optional[torch.LongTensor] = None, - logits_to_keep: Union[int, torch.Tensor] = 0, - **kwargs: Unpack[TransformersKwargs], - ) -> MoeCausalLMOutputWithPast: - r""" - labels (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): - Labels for computing the masked language modeling loss. Indices should either be in `[0, ..., - config.vocab_size]` or -100 (see `input_ids` docstring). Tokens with indices set to `-100` are ignored - (masked), the loss is only computed for the tokens with labels in `[0, ..., config.vocab_size]`. - - Example: - - ```python - >>> from transformers import AutoTokenizer, Qwen3NextForCausalLM - - >>> model = Qwen3NextForCausalLM.from_pretrained("Qwen/Qwen3-Next-80B-A3B-Instruct") - >>> tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-Next-80B-A3B-Instruct") - - >>> prompt = "Hey, are you conscious? Can you talk to me?" - >>> inputs = tokenizer(prompt, return_tensors="pt") - - >>> # Generate - >>> generate_ids = model.generate(inputs.input_ids, max_length=30) - >>> tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0] - "Hey, are you conscious? Can you talk to me?\nI'm not conscious, but I can talk to you." - ```""" - - output_router_logits = ( - output_router_logits if output_router_logits is not None else self.config.output_router_logits - ) - - # decoder outputs consists of (dec_features, layer_state, dec_hidden, dec_attn) - outputs: MoeModelOutputWithPast = self.model( - input_ids=input_ids, - attention_mask=attention_mask, - position_ids=position_ids, - past_key_values=past_key_values, - inputs_embeds=inputs_embeds, - use_cache=use_cache, - output_router_logits=output_router_logits, - cache_position=cache_position, - **kwargs, - ) - - hidden_states = outputs.last_hidden_state - # Only compute necessary logits, and do not upcast them to float if we are not computing the loss - slice_indices = slice(-logits_to_keep, None) if isinstance(logits_to_keep, int) else logits_to_keep - logits = self.lm_head(hidden_states[:, slice_indices, :]) - - loss = None - if labels is not None: - loss = self.loss_function(logits, labels, self.vocab_size, **kwargs) - - aux_loss = None - if output_router_logits: - aux_loss = load_balancing_loss_func( - outputs.router_logits, - self.num_experts, - self.num_experts_per_tok, - attention_mask, - ) - if labels is not None: - loss += self.router_aux_loss_coef * aux_loss.to(loss.device) # make sure to reside in the same device - - return MoeCausalLMOutputWithPast( - loss=loss, - aux_loss=aux_loss, - logits=logits, - past_key_values=outputs.past_key_values, - hidden_states=outputs.hidden_states, - attentions=outputs.attentions, - router_logits=outputs.router_logits, - ) - - -__all__ = [ - "Qwen3NextForCausalLM", - "Qwen3NextModel", - "Qwen3NextPreTrainedModel", -] diff --git a/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/special_tokens_map.json b/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/special_tokens_map.json deleted file mode 100644 index a782b2f1cdab4d0bacb2dc0f85d02c4b1e31f0bd..0000000000000000000000000000000000000000 --- a/grid_search_0318/yulan-gdn-sft-1b-sl65536-lr5e-6-gbs16-mb1-tp2-pp1-cp4-fresh-2026.03.19-18.56.50/special_tokens_map.json +++ /dev/null @@ -1,30 +0,0 @@ -{ - 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"超市": 14176, - "▁antigen": 14177, - "▁Radio": 14178, - "▁privacy": 14179, - "▁handling": 14180, - "▁stimulation": 14181, - "▁peace": 14182, - "▁Georgia": 14183, - "把握": 14184, - "PORT": 14185, - "▁arrang": 14186, - "氛围": 14187, - "nfortunately": 14188, - "▁platforms": 14189, - "呼吸": 14190, - "NC": 14191, - "▁ours": 14192, - "▁Jo": 14193, - "▁Kh": 14194, - "▁quantitative": 14195, - "▁Maybe": 14196, - "的中": 14197, - "▁occasion": 14198, - "HL": 14199, - "▁concerned": 14200, - "▁tracking": 14201, - "国务院": 14202, - "释放": 14203, - "\"#": 14204, - "▁reactions": 14205, - "CharField": 14206, - "HC": 14207, - "nQu": 14208, - "▁polymer": 14209, - "▁risks": 14210, - "很少": 14211, - "张某": 14212, - "bash": 14213, - "fetch": 14214, - "你会": 14215, - "姐姐": 14216, - "▁parking": 14217, - "小米": 14218, - "▁Micro": 14219, - "eting": 14220, - "resolve": 14221, - "▁Store": 14222, - "verter": 14223, - "▁reviewed": 14224, - "▁Saint": 14225, - "▁guarantee": 14226, - "取值": 14227, - "iest": 14228, - "▁implications": 14229, - 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"bytes": 15453, - "Active": 15454, - "emp": 15455, - "▁ham": 15456, - "领先": 15457, - "初中": 15458, - "ambig": 15459, - "▁alongside": 15460, - "ucid": 15461, - "▁submitted": 15462, - "▁Express": 15463, - "▁Bern": 15464, - "▁styl": 15465, - "进去": 15466, - "▁Obama": 15467, - "自信": 15468, - "▁conversation": 15469, - "则是": 15470, - "政协": 15471, - "▁mask": 15472, - "反而": 15473, - "显得": 15474, - "gypt": 15475, - "▁periods": 15476, - "cred": 15477, - "amount": 15478, - "加盟": 15479, - "三日": 15480, - "▁Title": 15481, - "▁honor": 15482, - "▁hosted": 15483, - "他是": 15484, - "▁tech": 15485, - "赢得": 15486, - "▁weekly": 15487, - "]$": 15488, - "▁sitting": 15489, - "▁trace": 15490, - "分辨": 15491, - "▁remark": 15492, - "全村": 15493, - "▁stopped": 15494, - "directory": 15495, - "▁reward": 15496, - "▁dysfunction": 15497, - "▁addresses": 15498, - "▁gon": 15499, - "▁Region": 15500, - "▁EV": 15501, - "▁Stan": 15502, - "requency": 15503, - "原式": 15504, - "寿命": 15505, - "▁Ba": 15506, - "books": 15507, - "▁meetings": 15508, - "▁Sir": 15509, - "▁Rights": 15510, - "听到": 15511, - "敏感": 15512, - "▁Republican": 15513, - "▁explanation": 15514, - "nPop": 15515, - "Ed": 15516, - "inline": 15517, - "三条": 15518, - "若干问题的规定": 15519, - "owner": 15520, - "▁myst": 15521, - "OH": 15522, - "产生的": 15523, - "▁Sus": 15524, - "odynam": 15525, - "▁Eth": 15526, - "▁throm": 15527, - "▁马": 15528, - "▁skill": 15529, - "缺点": 15530, - "metic": 15531, - "违约": 15532, - "▁belief": 15533, - "▁biology": 15534, - "▁knock": 15535, - "wrap": 15536, - "acking": 15537, - "adel": 15538, - "族自治区": 15539, - "▁Spr": 15540, - "▁placeholder": 15541, - "}^{\\\\": 15542, - "▁Tree": 15543, - "了本案": 15544, - "▁Cas": 15545, - "▁satisfaction": 15546, - "▁screens": 15547, - "rine": 15548, - "rho": 15549, - "wing": 15550, - "▁chlor": 15551, - "▁duplic": 15552, - "GT": 15553, - "atomic": 15554, - "高端": 15555, - "boolean": 15556, - "onomy": 15557, - "\\'],\\": 15558, - "▁Chair": 15559, - "▁combine": 15560, - "▁carefully": 15561, - "liter": 15562, - "ruption": 15563, - "argo": 15564, - "▁peripheral": 15565, - "ois": 15566, - "▁rotation": 15567, - "▁Der": 15568, - "▁caught": 15569, - "▁mild": 15570, - "▁FITNESS": 15571, - "▁suscept": 15572, - "的那": 15573, - "Dr": 15574, - "大力": 15575, - "鼠标": 15576, - "ierarch": 15577, - "才会": 15578, - "Const": 15579, - "planation": 15580, - "的过程": 15581, - "cler": 15582, - "▁von": 15583, - "▁physics": 15584, - "hs": 15585, - "▁lights": 15586, - "ipse": 15587, - "▁consecutive": 15588, - "让他": 15589, - "延长": 15590, - "不敢": 15591, - "▁PD": 15592, - "仪器": 15593, - "fish": 15594, - "nesota": 15595, - "▁{@": 15596, - "规定的": 15597, - "▁吴": 15598, - "遭遇": 15599, - "▁Bad": 15600, - "地震": 15601, - "▁Creek": 15602, - "正是": 15603, - "▁Additionally": 15604, - "▁premium": 15605, - "orer": 15606, - "不懂": 15607, - "nGet": 15608, - "宇宙": 15609, - "无正当理由拒不到庭": 15610, - "▁pars": 15611, - "人力资源": 15612, - "▁Watch": 15613, - "▁Rub": 15614, - "▁decom": 15615, - "转变": 15616, - "BUG": 15617, - "member": 15618, - "的数": 15619, - "zo": 15620, - "指定的期间": 15621, - "▁synthes": 15622, - "▁employment": 15623, - "▁ancient": 15624, - "表扬": 15625, - "▁permit": 15626, - "正确答案": 15627, - "ologically": 15628, - "yard": 15629, - "▁Massachusetts": 15630, - "星期": 15631, - "很容易": 15632, - "▁activated": 15633, - "▁elevated": 15634, - "的企业": 15635, - "▁docker": 15636, - "dart": 15637, - "一只": 15638, - "起点网": 15639, - "▁nm": 15640, - "rule": 15641, - "太平": 15642, - "▁authent": 15643, - "▁printed": 15644, - "更为": 15645, - "▁expanded": 15646, - "发病": 15647, - "validate": 15648, - "▁SQL": 15649, - "▁interactive": 15650, - "iva": 15651, - "és": 15652, - "���": 15653, - "▁yesterday": 15654, - "继承": 15655, - "▁promise": 15656, - "的结果": 15657, - "▁cardiovascular": 15658, - "usher": 15659, - "▁Round": 15660, - "lot": 15661, - "▁Plus": 15662, - "ogeneous": 15663, - "iem": 15664, - "直径": 15665, - "巨大": 15666, - "classes": 15667, - "▁Jackson": 15668, - "▁fifth": 15669, - "▁Kong": 15670, - "▁Korean": 15671, - "havior": 15672, - "▁worse": 15673, - "百姓": 15674, - "▁airport": 15675, - "犯盗窃罪": 15676, - "▁precision": 15677, - "▁birthday": 15678, - "▁Brook": 15679, - "nyou": 15680, - "▁quantity": 15681, - "收获": 15682, - "▁Emer": 15683, - "▁Instead": 15684, - "企业信用": 15685, - "面上": 15686, - "舞蹈": 15687, - "要求被告": 15688, - "▁territ": 15689, - "▁restaurants": 15690, - "▁Mill": 15691, - "天地": 15692, - "部的": 15693, - "▁inverse": 15694, - "传说": 15695, - "radius": 15696, - "分析了": 15697, - "telse": 15698, - "▁je": 15699, - "前往": 15700, - "Argument": 15701, - "amps": 15702, - "发育": 15703, - "▁Sat": 15704, - "razy": 15705, - "▁planet": 15706, - "▁loaded": 15707, - "Anal": 15708, - "写出": 15709, - "olecular": 15710, - "▁discipl": 15711, - "效应": 15712, - "▁cricket": 15713, - "直接向": 15714, - "变形": 15715, - "镜头": 15716, - "斯特": 15717, - "▁tack": 15718, - "这位": 15719, - "▁readonly": 15720, - "若干问题的": 15721, - "▁Prime": 15722, - "▁Professor": 15723, - "著作": 15724, - "次数": 15725, - "电商": 15726, - "▁specify": 15727, - "onomic": 15728, - "▁investigators": 15729, - "▁parser": 15730, - 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"讲解": 15787, - "▁gained": 15788, - "沒有": 15789, - "▁implant": 15790, - "请您": 15791, - "vy": 15792, - "nYear": 15793, - "▁hyd": 15794, - "▁lovely": 15795, - "豆瓣读书": 15796, - "心情": 15797, - "▁dialog": 15798, - "对被执行人": 15799, - "▁supplies": 15800, - "▁Place": 15801, - "environment": 15802, - "管道": 15803, - "Profile": 15804, - "▁Cancer": 15805, - "▁sle": 15806, - "仓库": 15807, - "▁principle": 15808, - "Loader": 15809, - "adv": 15810, - "alo": 15811, - "▁requested": 15812, - "▁Right": 15813, - "▁Steve": 15814, - "▁criminal": 15815, - "▁Ball": 15816, - "▁knowing": 15817, - "Debug": 15818, - "▁Less": 15819, - "一片": 15820, - "Microsoft": 15821, - "暴力": 15822, - "共产党": 15823, - "热情": 15824, - "VS": 15825, - "▁lic": 15826, - "▁desire": 15827, - "heel": 15828, - "ydney": 15829, - "Big": 15830, - "测定": 15831, - "取值范围": 15832, - "▁libraries": 15833, - "ção": 15834, - "▁childhood": 15835, - "Rest": 15836, - "本裁定书送达后": 15837, - "▁closest": 15838, - "第一百四十四": 15839, - "igue": 15840, - "ieving": 15841, - 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"小孩": 16010, - "▁Ash": 16011, - "三角形的": 16012, - "▁Small": 16013, - "▁Columbia": 16014, - "名词": 16015, - "Tool": 16016, - "▁Element": 16017, - "对应的": 16018, - "▁hydrogen": 16019, - "▁Turn": 16020, - "▁Bed": 16021, - "amilton": 16022, - "▁lie": 16023, - "长时间": 16024, - "新建": 16025, - "▁determination": 16026, - "新鲜": 16027, - "高兴": 16028, - "allenge": 16029, - "▁Fox": 16030, - "▁speaking": 16031, - "激光": 16032, - "nAm": 16033, - "apore": 16034, - "▁HTTP": 16035, - "thal": 16036, - "▁Queen": 16037, - "▁trig": 16038, - "hematic": 16039, - "出席": 16040, - "球员": 16041, - "Av": 16042, - "condition": 16043, - "questions": 16044, - "打击": 16045, - "▁spectro": 16046, - "rase": 16047, - "▁statements": 16048, - "itus": 16049, - "▁WARRANTY": 16050, - "美容": 16051, - "▁kernel": 16052, - "eties": 16053, - "nClick": 16054, - "▁tube": 16055, - "▁entertainment": 16056, - "▁expectations": 16057, - "▁SOFTWARE": 16058, - "pton": 16059, - "哥哥": 16060, - "▁zip": 16061, - "印刷": 16062, - "hm": 16063, - "之日起计算": 16064, - "▁Daniel": 16065, - "speed": 16066, - "无论是": 16067, - "▁impossible": 16068, - "socket": 16069, - "拓展": 16070, - "▁filed": 16071, - "▁paying": 16072, - "▁ty": 16073, - "又有": 16074, - "▁respiratory": 16075, - "atom": 16076, - "Stud": 16077, - "cue": 16078, - "▁Ut": 16079, - "amond": 16080, - "将文章": 16081, - "▁hole": 16082, - "国庆": 16083, - "电子商务": 16084, - "前后": 16085, - "messages": 16086, - "生日": 16087, - "▁contest": 16088, - "profit": 16089, - "▁affects": 16090, - "Left": 16091, - "▁sorry": 16092, - "ilst": 16093, - "冲击": 16094, - "单纯": 16095, - "▁Block": 16096, - "onda": 16097, - "fmt": 16098, - "▁meal": 16099, - "▁moments": 16100, - "kes": 16101, - "athan": 16102, - "▁Hop": 16103, - "▁coronary": 16104, - "少数": 16105, - "照顾": 16106, - "\\\\\\": 16107, - "生效法律文书确定的义务": 16108, - "腾讯": 16109, - "审理了本案": 16110, - "OUT": 16111, - "nPre": 16112, - "财产保全": 16113, - "▁banks": 16114, - "▁determining": 16115, - "团结": 16116, - "addr": 16117, - "的就是": 16118, - "▁diagram": 16119, - "▁judge": 16120, - "eph": 16121, - "▁routes": 16122, - "▁Ok": 16123, - "机器人": 16124, - "的有": 16125, - "▁solved": 16126, - "之路": 16127, - "了吧": 16128, - "Any": 16129, - "Mem": 16130, - "▁IC": 16131, - "所需": 16132, - "将文章分享到朋友圈": 16133, - "▁Latin": 16134, - "arters": 16135, - "BB": 16136, - "stable": 16137, - "半径": 16138, - "多元": 16139, - "collection": 16140, - "▁nerv": 16141, - "▁ip": 16142, - "▁Print": 16143, - "的效果": 16144, - "▁简介": 16145, - "otyp": 16146, - "▁cov": 16147, - "inx": 16148, - "▁Ly": 16149, - "hh": 16150, - "并非": 16151, - "acon": 16152, - "switch": 16153, - "粮食": 16154, - "▁stuck": 16155, - "匹配": 16156, - "第三节": 16157, - "▁claimed": 16158, - "合金": 16159, - "▁Rod": 16160, - "psi": 16161, - "▁suggestions": 16162, - "江南": 16163, - "legate": 16164, - "▁recognize": 16165, - "arios": 16166, - "windows": 16167, - "▁repeat": 16168, - "Auto": 16169, - "男女": 16170, - "▁debug": 16171, - "哈尔滨": 16172, - "abeth": 16173, - "orous": 16174, - "▁coal": 16175, - "▁breaking": 16176, - "seud": 16177, - "▁Know": 16178, - "▁Training": 16179, - "▁leaf": 16180, - "和其他": 16181, - "六个月": 16182, - "▁province": 16183, - "▁alert": 16184, - "姑娘": 16185, - "▁Enc": 16186, - "▁dealing": 16187, - "tip": 16188, - "保修": 16189, - "未按本判决": 16190, - "▁``": 16191, - "adder": 16192, - "▁keeps": 16193, - "昨天": 16194, - "要是": 16195, - "what": 16196, - "信息公示": 16197, - "同类": 16198, - "▁sudden": 16199, - "生意": 16200, - "的解": 16201, - "下了": 16202, - "公斤": 16203, - "贫困": 16204, - "Step": 16205, - "aret": 16206, - "履行给付金钱义务": 16207, - "▁moderate": 16208, - "acher": 16209, - "regon": 16210, - "刑罚": 16211, - "直角": 16212, - "▁lunch": 16213, - "zech": 16214, - "失去": 16215, - "忘记": 16216, - "成人": 16217, - "当天": 16218, - "▁Pakistan": 16219, - "▁Harr": 16220, - "▁inhibitor": 16221, - "▁Eastern": 16222, - "scill": 16223, - "ulp": 16224, - "▁hormone": 16225, - "▁Justice": 16226, - "']\\": 16227, - "二日": 16228, - "▁wireless": 16229, - "▁estimation": 16230, - "▁Donald": 16231, - "▁flash": 16232, - "▁picking": 16233, - "所在地": 16234, - "▁stead": 16235, - "这两个": 16236, - "▁modification": 16237, - "▁bacterial": 16238, - "▁ourselves": 16239, - "batch": 16240, - "种子": 16241, - "ecl": 16242, - "▁maintaining": 16243, - "上有": 16244, - "Err": 16245, - "▁HO": 16246, - "▁Sa": 16247, - "到期": 16248, - "发表于": 16249, - "的一部": 16250, - "▁crew": 16251, - "▁arts": 16252, - "▁lipid": 16253, - "充电": 16254, - "bean": 16255, - "▁wrap": 16256, - "▁Gi": 16257, - "\");": 16258, - "▁Stock": 16259, - "gz": 16260, - "▁Dutch": 16261, - "nCONCLUS": 16262, - "医药": 16263, - "▁logo": 16264, - "▁covering": 16265, - "▁Winter": 16266, - "▁joining": 16267, - "▁constraints": 16268, - "integr": 16269, - "olester": 16270, - "including": 16271, - "主编": 16272, - "▁prefix": 16273, - "四月": 16274, - "fi": 16275, - "▁Select": 16276, - "诚信": 16277, - "IME": 16278, - "▁Jr": 16279, - "Common": 16280, - "▁politics": 16281, - "hidden": 16282, - "vi": 16283, - "vue": 16284, - "语文": 16285, - "周长": 16286, - "▁atmosphere": 16287, - "GC": 16288, - "ENRON": 16289, - "道理": 16290, - "▁Os": 16291, - 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"其行为": 16349, - "▁lens": 16350, - "键盘": 16351, - "NOT": 16352, - "▁[[": 16353, - "keep": 16354, - "▁Kr": 16355, - "README": 16356, - "ifi": 16357, - "Job": 16358, - "复制": 16359, - "ogram": 16360, - "Reference": 16361, - "地质": 16362, - "成立于": 16363, - "esity": 16364, - "▁identifying": 16365, - "twitter": 16366, - "▁tro": 16367, - "xad": 16368, - "olid": 16369, - "小游戏": 16370, - "▁strip": 16371, - "eek": 16372, - "▁membership": 16373, - "tconst": 16374, - "一生": 16375, - "活性": 16376, - "地理位置": 16377, - "▁visited": 16378, - "Rule": 16379, - "一款": 16380, - "prom": 16381, - "景区": 16382, - "患者的": 16383, - "厉害": 16384, - "资讯": 16385, - "主人": 16386, - "▁Ext": 16387, - "▁entreprene": 16388, - "▁shel": 16389, - "Close": 16390, - "所示": 16391, - "公平": 16392, - "▁à": 16393, - "▁iOS": 16394, - "pload": 16395, - "changed": 16396, - "二级": 16397, - "▁colle": 16398, - "Many": 16399, - "▁wealth": 16400, - "epage": 16401, - "parameters": 16402, - "asset": 16403, - "究竟": 16404, - "▁fuck": 16405, - "▁possess": 16406, - "▁econom": 16407, - "国有": 16408, - "出庭": 16409, - "男孩": 16410, - "AMP": 16411, - "▁tall": 16412, - "局部": 16413, - "▁randomized": 16414, - "Press": 16415, - "创作的网络小说": 16416, - "Required": 16417, - "的两": 16418, - "妇女": 16419, - "uda": 16420, - "▁faces": 16421, - "▁Computer": 16422, - "山县": 16423, - "ashed": 16424, - "▁reliability": 16425, - "路线": 16426, - "马克": 16427, - "专用": 16428, - "▁dropped": 16429, - "▁Boy": 16430, - "▁assistant": 16431, - "▁Pract": 16432, - "through": 16433, - "cost": 16434, - "营造": 16435, - "截至": 16436, - "inator": 16437, - "▁Country": 16438, - "▁Down": 16439, - "你说": 16440, - "▁calculation": 16441, - "▁Valid": 16442, - "▁lifestyle": 16443, - "projects": 16444, - "SN": 16445, - "▁molecule": 16446, - "holders": 16447, - "信息公示系统": 16448, - "nOver": 16449, - "▁millions": 16450, - "▁urg": 16451, - "▁affil": 16452, - "▁isinstance": 16453, - "▁reply": 16454, - "▁Content": 16455, - "▁LED": 16456, - "each": 16457, - "▁shooting": 16458, - "对我": 16459, - "UST": 16460, - "周年": 16461, - "有利于": 16462, - "▁seats": 16463, - "飞行": 16464, - "▁产品": 16465, - "▁horse": 16466, - "nWhich": 16467, - "▁Ontario": 16468, - "▁gallery": 16469, - "▁sql": 16470, - "的条件": 16471, - "使命": 16472, - "加油": 16473, - "▁muc": 16474, - "▁engagement": 16475, - "▁complexes": 16476, - "▁preferred": 16477, - "这段": 16478, - "atile": 16479, - "seq": 16480, - "aternal": 16481, - "gment": 16482, - "是要": 16483, - "研究院": 16484, - "加热": 16485, - "▁choosing": 16486, - "▁Conf": 16487, - "▁Toronto": 16488, - "▁controvers": 16489, - "考验": 16490, - "▁tank": 16491, - "沈阳": 16492, - "企业信用信息公示系统": 16493, - "▁waves": 16494, - "级的": 16495, - "yield": 16496, - "▁Nic": 16497, - "宁夏": 16498, - "▁shouldn": 16499, - "家居": 16500, - "绿化": 16501, - "▁cytok": 16502, - "ante": 16503, - "对该": 16504, - "▁Self": 16505, - "BE": 16506, - "▁parad": 16507, - "▁golf": 16508, - "negative": 16509, - "欠条": 16510, - "▁emerging": 16511, - "▁adopted": 16512, - "nDef": 16513, - "▁bike": 16514, - "转让": 16515, - "▁Arg": 16516, - "▁fairly": 16517, - "的选择": 16518, - "▁nonlinear": 16519, - "apply": 16520, - "▁平装": 16521, - ",$": 16522, - "▁fitness": 16523, - "教练": 16524, - "取得了": 16525, - "elihood": 16526, - "▁YouTube": 16527, - "商家": 16528, - "给大家": 16529, - "你就": 16530, - "▁____": 16531, - "▁pred": 16532, - "聊天": 16533, - "▁Rs": 16534, - "▁addressed": 16535, - "▁precise": 16536, - "▁和": 16537, - "传承": 16538, - "▁rounded": 16539, - "请仔细": 16540, - "▁sustainable": 16541, - "OLD": 16542, - "ibration": 16543, - "文物": 16544, - "loom": 16545, - "也可": 16546, - "rait": 16547, - "强大": 16548, - "immun": 16549, - "▁witness": 16550, - "opl": 16551, - "Details": 16552, - "▁Collection": 16553, - "▁Has": 16554, - "TestCase": 16555, - "kind": 16556, - "▁chicken": 16557, - "Parameters": 16558, - "▁sulf": 16559, - "▁forum": 16560, - "▁drinking": 16561, - "▁bread": 16562, - "▁minister": 16563, - "▁horizontal": 16564, - "▁]\\": 16565, - "capt": 16566, - "业绩": 16567, - "开了": 16568, - "独任": 16569, - "▁guard": 16570, - "的变化": 16571, - "▁YOU": 16572, - "▁\"\\": 16573, - "▁losing": 16574, - "百万": 16575, - "邮政": 16576, - "▁bear": 16577, - "▁delicious": 16578, - "▁prof": 16579, - "▁quiet": 16580, - "显卡": 16581, - "厂家": 16582, - "Ag": 16583, - "mk": 16584, - "▁fetch": 16585, - "▁ranging": 16586, - "之下": 16587, - "▁los": 16588, - "招生": 16589, - "大家都": 16590, - "Cons": 16591, - "领域的": 16592, - "并将": 16593, - "Cell": 16594, - "proxy": 16595, - "oose": 16596, - "Vert": 16597, - "enda": 16598, - "expression": 16599, - "▁festival": 16600, - "法师": 16601, - "节奏": 16602, - "city": 16603, - "ldots": 16604, - "硬盘": 16605, - "强大的": 16606, - "eneration": 16607, - "Prot": 16608, - "▁appreciated": 16609, - "▁cable": 16610, - "▁代码": 16611, - "▁titles": 16612, - "▁queue": 16613, - "▁μ": 16614, - "nWell": 16615, - "norm": 16616, - "▁firms": 16617, - "国家企业信用信息公示系统": 16618, - "▁crash": 16619, - "nLe": 16620, - "Gen": 16621, - "▁adverse": 16622, - "\":[": 16623, - "▁marks": 16624, - "▁Material": 16625, - "地上": 16626, - "▁ampl": 16627, - "▁returning": 16628, - "provider": 16629, - "社会的": 16630, - "bing": 16631, - "ilibrium": 16632, - "rizona": 16633, - "fail": 16634, - "yz": 16635, - "▁Posted": 16636, - "▁hint": 16637, - "正本": 16638, - "MIT": 16639, - "▁\"%": 16640, - "Sync": 16641, - "▁grass": 16642, - "本裁定送达后立即生效": 16643, - "▁identical": 16644, - "abling": 16645, - "sn": 16646, - "建筑面积": 16647, - "exception": 16648, - "起诉书": 16649, - "gage": 16650, - "▁Lead": 16651, - "anti": 16652, - "▁separated": 16653, - "▁methodology": 16654, - "▁图书": 16655, - "lov": 16656, - "▁acquisition": 16657, - "▁Minnesota": 16658, - "▁extreme": 16659, - "▁consideration": 16660, - "▁Chapter": 16661, - "发送": 16662, - "▁whenever": 16663, - "Dep": 16664, - "▁physiological": 16665, - "毕业于": 16666, - "▁everyday": 16667, - "called": 16668, - "▁genome": 16669, - "aren": 16670, - "▁nursing": 16671, - "▁OTHER": 16672, - "▁peptide": 16673, - "自觉": 16674, - "▁Lew": 16675, - "此题": 16676, - "rin": 16677, - "Network": 16678, - "默认": 16679, - "▁Mountain": 16680, - "叫做": 16681, - "▁propag": 16682, - 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"▁lawyer": 16852, - "▁variations": 16853, - "uer": 16854, - "就行": 16855, - "nOut": 16856, - "▁continuing": 16857, - "大厦": 16858, - "明明": 16859, - "▁variant": 16860, - "aron": 16861, - "▁socket": 16862, - "权的": 16863, - "nre": 16864, - "起到": 16865, - "肌肉": 16866, - "overflow": 16867, - "▁correction": 16868, - "sky": 16869, - "招聘": 16870, - "妻子": 16871, - "▁gall": 16872, - "▁dil": 16873, - "▁attractive": 16874, - "▁cub": 16875, - "甘肃省": 16876, - "ushing": 16877, - "bg": 16878, - "多样": 16879, - "Only": 16880, - "ectors": 16881, - "agonal": 16882, - "World": 16883, - "技术的": 16884, - "▁exhibit": 16885, - "▁hosting": 16886, - "▁consisting": 16887, - "▁ignore": 16888, - "▁decline": 16889, - "部件": 16890, - "positive": 16891, - "▁徐": 16892, - "你在": 16893, - "▁adhes": 16894, - "▁Princ": 16895, - "HERE": 16896, - "▁turb": 16897, - "law": 16898, - "neum": 16899, - "▁tomorrow": 16900, - "▁bab": 16901, - "经济发展": 16902, - "▁Subject": 16903, - "公众号": 16904, - "nUse": 16905, - "some": 16906, - "▁subsequently": 16907, - 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"气温": 16965, - "▁foods": 16966, - "▁apoptosis": 16967, - "扮演": 16968, - "imit": 16969, - "icer": 16970, - "▁finds": 16971, - "县人民检察院": 16972, - "footer": 16973, - "▁Created": 16974, - "▁Avenue": 16975, - "aug": 16976, - "EV": 16977, - "$)": 16978, - "▁regardless": 16979, - "▁−": 16980, - "Wrapper": 16981, - "living": 16982, - "imental": 16983, - "没什么": 16984, - "equiv": 16985, - "▁synthetic": 16986, - "▁Civil": 16987, - "▁Sydney": 16988, - "我院": 16989, - "Sk": 16990, - "▁Clinical": 16991, - "▁severity": 16992, - "▁beer": 16993, - "binding": 16994, - "astro": 16995, - "▁administered": 16996, - "吃的": 16997, - "实现了": 16998, - "ashes": 16999, - "▁healing": 17000, - "oviet": 17001, - "outube": 17002, - "给他": 17003, - "打算": 17004, - "naire": 17005, - "▁Daily": 17006, - "▁nervous": 17007, - "耕地": 17008, - "▁glad": 17009, - "职业技术": 17010, - "魅力": 17011, - "unique": 17012, - "itled": 17013, - "igm": 17014, - "▁Forest": 17015, - "本院经审查": 17016, - "psy": 17017, - "▁elucid": 17018, - "▁momentum": 17019, - "▁dependencies": 17020, - "▁Les": 17021, - "条例": 17022, - "慢性": 17023, - "lean": 17024, - "nAlthough": 17025, - "▁wondering": 17026, - "常务": 17027, - "gal": 17028, - "urls": 17029, - "being": 17030, - "bow": 17031, - "▁generator": 17032, - "▁intelligence": 17033, - "是多少": 17034, - "▁recall": 17035, - "ETHODS": 17036, - "tau": 17037, - "▁cord": 17038, - "compile": 17039, - "国土资源": 17040, - "我和": 17041, - "但在": 17042, - "odd": 17043, - "热度": 17044, - "season": 17045, - "nOnce": 17046, - "▁Secretary": 17047, - "毫无": 17048, - "两组": 17049, - "icide": 17050, - "各级": 17051, - "选择的": 17052, - "▁myocard": 17053, - "▁substrate": 17054, - "对话": 17055, - "Rightarrow": 17056, - "ometer": 17057, - "▁/*": 17058, - "的历史": 17059, - "价比": 17060, - "▁soci": 17061, - "▁compatible": 17062, - "▁finger": 17063, - "iary": 17064, - "罪名": 17065, - "▁wel": 17066, - "earing": 17067, - "▁beneficial": 17068, - "▁Bridge": 17069, - "专注": 17070, - "暂无": 17071, - "之日止": 17072, - "▁hypertension": 17073, - "▁ell": 17074, - "%(": 17075, - "▁Guide": 17076, - "▁promotion": 17077, - "▁arms": 17078, - "nOff": 17079, - "jet": 17080, - "要么": 17081, - "批发": 17082, - "▁luck": 17083, - "较高": 17084, - "arse": 17085, - "▁expat": 17086, - "(\"\\\\": 17087, - "▁Beaut": 17088, - "农村信用合作": 17089, - "bial": 17090, - "▁passes": 17091, - "present": 17092, - "▁Major": 17093, - "糖尿": 17094, - "一线": 17095, - "朝鲜": 17096, - "▁comparing": 17097, - "▁Dam": 17098, - "▁dop": 17099, - "▁generic": 17100, - "老婆": 17101, - "▁adjacent": 17102, - "marks": 17103, - "▁opens": 17104, - "pected": 17105, - "▁phosphory": 17106, - "▁incredible": 17107, - "▁worst": 17108, - "了很多": 17109, - "cursor": 17110, - "注射": 17111, - "一开始": 17112, - "▁Argent": 17113, - "极速": 17114, - "▁texture": 17115, - "全新": 17116, - "wrapper": 17117, - "宗旨": 17118, - "子里": 17119, - "亿美元": 17120, - "orts": 17121, - "的使用": 17122, - "▁Similar": 17123, - "Mac": 17124, - "▁Imp": 17125, - "They": 17126, - "师范大学": 17127, - "圆形": 17128, - "不大": 17129, - "ships": 17130, - "nMost": 17131, - "imet": 17132, - "▁Oxford": 17133, - "ritis": 17134, - "▁Output": 17135, - "▁©": 17136, - "▁Ther": 17137, - "的取值范围": 17138, - "股权": 17139, - "▁tiny": 17140, - "▁assumed": 17141, - "toBe": 17142, - "▁Premier": 17143, - "▁Hence": 17144, - "▁generating": 17145, - "进展": 17146, - "▁simulations": 17147, - "号民事判决": 17148, - "常见的": 17149, - "▁mutation": 17150, - "▁communications": 17151, - "▁till": 17152, - "simple": 17153, - "▁shower": 17154, - "▁acceler": 17155, - "边形": 17156, - "▁attorney": 17157, - "▁prospective": 17158, - "心中": 17159, - "电流": 17160, - "精度": 17161, - "\\'),": 17162, - "蛋白质": 17163, - "▁asc": 17164, - "tein": 17165, - "PUT": 17166, - "▁spokes": 17167, - "基础上": 17168, - "▁correspond": 17169, - "▁macro": 17170, - "▁GitHub": 17171, - "unsigned": 17172, - "前期": 17173, - "pal": 17174, - "▁sculpt": 17175, - "Success": 17176, - "实体": 17177, - "dm": 17178, - "reader": 17179, - "▁cancel": 17180, - "demo": 17181, - "后续": 17182, - "▁approval": 17183, - "我们可以": 17184, - "enable": 17185, - "▁carrying": 17186, - "otton": 17187, - "的人生": 17188, - "▁cum": 17189, - "redit": 17190, - "诉至": 17191, - "▁kit": 17192, - "overset": 17193, - "▁Those": 17194, - "▁virt": 17195, - "应当依照": 17196, - "采访": 17197, - "Play": 17198, - "oker": 17199, - "积分": 17200, - "大幅": 17201, - "▁computational": 17202, - "纺织": 17203, - "而在": 17204, - "位的": 17205, - "▁Heart": 17206, - "门口": 17207, - "分支": 17208, - "▁toxic": 17209, - "aha": 17210, - "▁emphas": 17211, - "发现被执行人有可供执行财产": 17212, - "detail": 17213, - "▁altered": 17214, - "”）": 17215, - "vex": 17216, - "▁Keep": 17217, - "heng": 17218, - "▁Berlin": 17219, - "二是": 17220, - "▁ul": 17221, - "某个": 17222, - "ERT": 17223, - "▁talks": 17224, - "▁dangerous": 17225, - "▁reproduce": 17226, - "▁counsel": 17227, - "会长": 17228, - "▁blow": 17229, - "▁prominent": 17230, - "收录": 17231, - "▁crystal": 17232, - "▁circumstances": 17233, - "▁Turkey": 17234, - "opher": 17235, - "icking": 17236, - "▁Total": 17237, - "▁performances": 17238, - "▁cooking": 17239, - "▁*/": 17240, - "▁USB": 17241, - "▁Double": 17242, - "长江": 17243, - "省级": 17244, - "构造": 17245, - "出血": 17246, - "▁AI": 17247, - "tech": 17248, - "的位置": 17249, - "▁Official": 17250, - "nAnother": 17251, - "buf": 17252, - "▁rend": 17253, - "▁soph": 17254, - "精品": 17255, - "的最大": 17256, - "nMany": 17257, - "▁dish": 17258, - "▁unexpected": 17259, - "▁instances": 17260, - "▁systemic": 17261, - "▁microscopy": 17262, - "支出": 17263, - "▁winners": 17264, - "如何评价": 17265, - "▁hers": 17266, - "▁dot": 17267, - "▁apartment": 17268, - "▁concert": 17269, - "四日": 17270, - "▁Site": 17271, - "▁debate": 17272, - "缺席": 17273, - "▁Player": 17274, - "orient": 17275, - "▁Ni": 17276, - "气的": 17277, - "course": 17278, - "▁integrate": 17279, - "股东": 17280, - "making": 17281, - "▁MERCHANTABILITY": 17282, - "一人": 17283, - "▁solo": 17284, - "▁tf": 17285, - "orne": 17286, - "威胁": 17287, - "▁Indones": 17288, - "林业": 17289, - "会的": 17290, - "卫星": 17291, - "▁bands": 17292, - "Socket": 17293, - "▁Publish": 17294, - "▁justice": 17295, - "angel": 17296, - "▁scenario": 17297, - "▁defects": 17298, - "这时": 17299, - "并发": 17300, - "▁hire": 17301, - "▁manufacturer": 17302, - "▁hits": 17303, - "exper": 17304, - "ntyped": 17305, - "传票传唤": 17306, - "▁impressive": 17307, - "温馨": 17308, - "▁infants": 17309, - "灵魂": 17310, - "简直": 17311, - "▁apparently": 17312, - "不喜欢": 17313, - "们的": 17314, - "▁escape": 17315, - "总裁": 17316, - "日向本院提起": 17317, - "指定的期间履行给付金钱义务": 17318, - "Qt": 17319, - "Matrix": 17320, - "▁disappe": 17321, - "丛书": 17322, - "▁constantly": 17323, - "▁BY": 17324, - "暂时": 17325, - "第二百五十三条之规定": 17326, - "▁volunteers": 17327, - "肌肤": 17328, - "▁votes": 17329, - "urname": 17330, - "分米": 17331, - "▁admitted": 17332, - "礼物": 17333, - "equals": 17334, - "▁三": 17335, - "▁intra": 17336, - "oline": 17337, - "ambiguation": 17338, - "冰箱": 17339, - "▁drag": 17340, - "dependencies": 17341, - "▁potent": 17342, - "▁Son": 17343, - "tvoid": 17344, - "板块": 17345, - "扶贫": 17346, - "▁pd": 17347, - "CB": 17348, - "▁Bell": 17349, - "▁sick": 17350, - "不明": 17351, - "▁Fix": 17352, - "正文": 17353, - "dots": 17354, - "第二百五十七条第": 17355, - "▁Oregon": 17356, - "助于": 17357, - "ternational": 17358, - "▁anyway": 17359, - "MIN": 17360, - "igo": 17361, - "▁出生地": 17362, - "终端": 17363, - "▁hosts": 17364, - "itter": 17365, - "排列": 17366, - "独任审判": 17367, - "化简": 17368, - "▁Pa": 17369, - "毕业生": 17370, - "全力": 17371, - "▁narr": 17372, - "Screen": 17373, - "水利": 17374, - "▁fert": 17375, - "死了": 17376, - "▁onset": 17377, - "▁handler": 17378, - "▁Administration": 17379, - "日向本院申请": 17380, - "▁variance": 17381, - "▁newspaper": 17382, - "▁IMP": 17383, - "▁impair": 17384, - "riends": 17385, - "▁manually": 17386, - "财产保险": 17387, - "Tim": 17388, - "nEarly": 17389, - "▁computed": 17390, - "▁transferred": 17391, - "Iter": 17392, - "园林": 17393, - "民一": 17394, - "akh": 17395, - "▁talent": 17396, - "日的": 17397, - "里面的": 17398, - "\\\\()\\\\)": 17399, - "ophys": 17400, - "便是": 17401, - "yml": 17402, - "▁tur": 17403, - ")](": 17404, - "有趣": 17405, - "减肥": 17406, - "季节": 17407, - "减刑建议书": 17408, - "提交上诉状": 17409, - "triangle": 17410, - "温柔": 17411, - "清华": 17412, - "行业的": 17413, - "▁posit": 17414, - "ORK": 17415, - "▁PS": 17416, - "apol": 17417, - "▁Houston": 17418, - "▁gradient": 17419, - "绝对值": 17420, - "overline": 17421, - "▁graphics": 17422, - "摩托": 17423, - "▁engage": 17424, - "Directory": 17425, - "features": 17426, - "标题": 17427, - "nst": 17428, - "chant": 17429, - "Simple": 17430, - "asets": 17431, - "ateur": 17432, - "不符合": 17433, - "▁hur": 17434, - "▁stabil": 17435, - "检察员": 17436, - "▁Rose": 17437, - "▁targeting": 17438, - "正本一份": 17439, - "▁merged": 17440, - "字母": 17441, - "pid": 17442, - "alities": 17443, - "defined": 17444, - "но": 17445, - "千元": 17446, - "abetic": 17447, - "islative": 17448, - "▁luxury": 17449, - "▁Senior": 17450, - "▁viewed": 17451, - "ée": 17452, - "▁Si": 17453, - "英寸": 17454, - "ritish": 17455, - "能否": 17456, - "▁surprise": 17457, - "▁reset": 17458, - "etherlands": 17459, - "序列": 17460, - "▁workshop": 17461, - "体会": 17462, - "ceptor": 17463, - "内置": 17464, - "统计学": 17465, - "▁grab": 17466, - "nDr": 17467, - "了一下": 17468, - "TEST": 17469, - "▁overview": 17470, - "从此": 17471, - "Cal": 17472, - "▁hospitals": 17473, - "▁temporary": 17474, - "▁Ros": 17475, - "▁founder": 17476, - "▁jun": 17477, - "IGN": 17478, - "IAL": 17479, - "篮球": 17480, - "▁Did": 17481, - "ogs": 17482, - "▁目录": 17483, - "original": 17484, - "Framework": 17485, - "runtime": 17486, - "常常": 17487, - "timeout": 17488, - "nDescription": 17489, - "引擎": 17490, - "较好": 17491, - "▁Square": 17492, - "yll": 17493, - "Invalid": 17494, - "nAssociation": 17495, - "糖尿病": 17496, - "早上": 17497, - "家庄": 17498, - "牛奶": 17499, - "rock": 17500, - "nTrans": 17501, - "▁hip": 17502, - "刘某": 17503, - "预期": 17504, - "▁lake": 17505, - "农村信用合作联社": 17506, - "是为了": 17507, - "书面上诉的": 17508, - "izabeth": 17509, - "▁incorrect": 17510, - "▁portfolio": 17511, - "仅仅": 17512, - "司机": 17513, - "mc": 17514, - "刑诉": 17515, - "▁accomplish": 17516, - "WI": 17517, - "helper": 17518, - "▁Machine": 17519, - "▁sodium": 17520, - "counter": 17521, - "▁spac": 17522, - "▁slope": 17523, - "olving": 17524, - "also": 17525, - "ntypedef": 17526, - "▁biochemical": 17527, - "西部": 17528, - "年轻人": 17529, - "▁haz": 17530, - "▁append": 17531, - "VR": 17532, - "▁McC": 17533, - "▁powder": 17534, - "habilit": 17535, - "ро": 17536, - "anny": 17537, - "权限": 17538, - "▁Sab": 17539, - "密切": 17540, - "▁Rog": 17541, - "ittest": 17542, - "islation": 17543, - "nso": 17544, - "▁essay": 17545, - "Pool": 17546, - "uuid": 17547, - "动的": 17548, - "房价": 17549, - "▁mile": 17550, - "sens": 17551, - "请问": 17552, - "▁\\'__": 17553, - "\\\\}": 17554, - "▁Olympic": 17555, - "更高": 17556, - "MAT": 17557, - "Services": 17558, - "▁eligible": 17559, - "▁Theatre": 17560, - "▁municipality": 17561, - "例子": 17562, - "Media": 17563, - "▁jew": 17564, - "一流": 17565, - "未来的": 17566, - "▁cyst": 17567, - "Meta": 17568, - "▁chose": 17569, - "接收": 17570, - "nStep": 17571, - "▁surge": 17572, - "▁gel": 17573, - "▁}{": 17574, - "一辆": 17575, - "stdout": 17576, - "▁nomin": 17577, - "可在接到": 17578, - "受伤": 17579, - "▁Scottish": 17580, - ">\"": 17581, - "颗粒": 17582, - "▁ischem": 17583, - "▁stake": 17584, - "▁selective": 17585, - "活动的": 17586, - "怎样的": 17587, - "斗争": 17588, - "perm": 17589, - "aded": 17590, - "idine": 17591, - "▁Tok": 17592, - "▁capac": 17593, - "updated": 17594, - "▁variants": 17595, - "参观": 17596, - "响应": 17597, - "我很": 17598, - "▁counts": 17599, - "▁essentially": 17600, - "▁sad": 17601, - "}[": 17602, - "▁Never": 17603, - "县委": 17604, - "临时": 17605, - "▁Wi": 17606, - "日起十日内": 17607, - "▁fn": 17608, - "形状": 17609, - "▁第二": 17610, - "▁Ven": 17611, - "容器": 17612, - "▁separation": 17613, - "raq": 17614, - "▁dust": 17615, - "▁Policy": 17616, - "实时": 17617, - "频道": 17618, - "▁marker": 17619, - "Vol": 17620, - "lectric": 17621, - "▁GO": 17622, - "▁Ol": 17623, - "决赛": 17624, - "车型": 17625, - "':\\": 17626, - "▁ub": 17627, - "Parse": 17628, - "ikes": 17629, - "监察": 17630, - "抛物": 17631, - "宁市": 17632, - "▁doses": 17633, - "▁性别": 17634, - "但被执行人": 17635, - "▁undert": 17636, - "▁shoes": 17637, - "▁ultimate": 17638, - "▁sought": 17639, - "apps": 17640, - "▁invalid": 17641, - "加拿": 17642, - "▁Ford": 17643, - "签约": 17644, - "经济学": 17645, - "agnetic": 17646, - "Copyright": 17647, - "▁ME": 17648, - "▁vice": 17649, - "lined": 17650, - "nOlymp": 17651, - "▁suffering": 17652, - "▁Jean": 17653, - "斯坦": 17654, - "phia": 17655, - "ders": 17656, - "▁Gro": 17657, - "▁temporal": 17658, - "均为": 17659, - "ctic": 17660, - "▁resonance": 17661, - "通过对": 17662, - "▁interpretation": 17663, - "▁NA": 17664, - "Del": 17665, - "和计划生育": 17666, - "▁inches": 17667, - "Py": 17668, - "▁Instagram": 17669, - "▁breakfast": 17670, - "▁overl": 17671, - "睡觉": 17672, - "ados": 17673, - "▁Matt": 17674, - "▁naturally": 17675, - "ENV": 17676, - "夏天": 17677, - "stylesheet": 17678, - "的需求": 17679, - "▁fragment": 17680, - "▁magic": 17681, - "nEvery": 17682, - "Support": 17683, - "▁celebrate": 17684, - "UG": 17685, - "扫描": 17686, - "▁twenty": 17687, - "oprotein": 17688, - "▁epithelial": 17689, - "独特的": 17690, - "pend": 17691, - "了我": 17692, - "itudes": 17693, - "真的很": 17694, - "▁clone": 17695, - "▁gam": 17696, - "巨大的": 17697, - "▁Ident": 17698, - "▁lifetime": 17699, - "派出": 17700, - "bolic": 17701, - "closure": 17702, - "keywords": 17703, - "▁flav": 17704, - "▁cir": 17705, - "▁angles": 17706, - "▁Prom": 17707, - "阿里": 17708, - "imp": 17709, - "▁elderly": 17710, - ",'": 17711, - "jan": 17712, - "▁strengthen": 17713, - "▁injured": 17714, - "走进": 17715, - "标签": 17716, - "无效": 17717, - "在家": 17718, - "verbose": 17719, - "处置": 17720, - "结算": 17721, - "ocom": 17722, - "▁[];\\": 17723, - ":/": 17724, - "ership": 17725, - "VP": 17726, - "dispatch": 17727, - "▁arbitrary": 17728, - "nAp": 17729, - "fox": 17730, - "怀疑": 17731, - "拿到": 17732, - "▁heating": 17733, - "Boolean": 17734, - "lon": 17735, - "处理器": 17736, - "晋江文学网": 17737, - "▁printing": 17738, - "▁obviously": 17739, - "Router": 17740, - "slug": 17741, - "由题意": 17742, - "▁Executive": 17743, - "▁chocolate": 17744, - "▁Capt": 17745, - "建材": 17746, - "hello": 17747, - "▁Phase": 17748, - "▁Muslim": 17749, - "今后": 17750, - "Serializer": 17751, - "书画": 17752, - "报警": 17753, - "辈子": 17754, - "▁acknow": 17755, - "▁Fish": 17756, - "idays": 17757, - "▁birds": 17758, - "号起诉书": 17759, - "className": 17760, - "▁js": 17761, - "级别": 17762, - "itable": 17763, - "▁sorted": 17764, - "荣获": 17765, - "▁coupled": 17766, - "▁heads": 17767, - "现代化": 17768, - "不当": 17769, - "▁Rom": 17770, - "足以认定": 17771, - "监护": 17772, - "▁situated": 17773, - "arring": 17774, - "国家的": 17775, - "▁efficiently": 17776, - "▁absorption": 17777, - "▁headers": 17778, - "irk": 17779, - "▁Pers": 17780, - "的大小": 17781, - "Op": 17782, - "信心": 17783, - "待遇": 17784, - "decode": 17785, - "dataset": 17786, - "▁filters": 17787, - "olesterol": 17788, - "▁Resource": 17789, - "▁schema": 17790, - "cluster": 17791, - "▁ending": 17792, - "▁LLC": 17793, - "▁oscill": 17794, - "▁Lie": 17795, - "agma": 17796, - "mask": 17797, - "▁и": 17798, - "generate": 17799, - "enabled": 17800, - "传感": 17801, - "▁THIS": 17802, - "电信": 17803, - "皇帝": 17804, - "Expression": 17805, - ")**": 17806, - "▁rely": 17807, - "透明": 17808, - "▁Cambridge": 17809, - "▁bounded": 17810, - "▁asympt": 17811, - "party": 17812, - "CN": 17813, - "\"@": 17814, - "的定义": 17815, - "▁Tele": 17816, - "中华人民共和国行政诉讼法": 17817, - "留学": 17818, - "▁tom": 17819, - "story": 17820, - "Timeout": 17821, - "▁Singapore": 17822, - "▁Quant": 17823, - "▁recombin": 17824, - "这也是": 17825, - "abases": 17826, - "的学生": 17827, - "▁hat": 17828, - "本院予以支持": 17829, - "▁relief": 17830, - "讲话": 17831, - "figure": 17832, - "urrence": 17833, - "▁\"__": 17834, - "▁发": 17835, - "▁enthus": 17836, - "▁classified": 17837, - "Ret": 17838, - "adelphia": 17839, - "已发生法律效力": 17840, - "▁Supreme": 17841, - "npub": 17842, - "▁cond": 17843, - "▁decreasing": 17844, - "▁Property": 17845, - "▁WITH": 17846, - "要注意": 17847, - "coll": 17848, - "笔记本": 17849, - "性价比": 17850, - "▁Ale": 17851, - "相当于": 17852, - "江湖": 17853, - "▁delta": 17854, - "▁intermediate": 17855, - "▁Silver": 17856, - "▁illust": 17857, - "▁expressions": 17858, - "明显的": 17859, - "▁lessons": 17860, - "Tab": 17861, - "一块": 17862, - "▁officially": 17863, - "▁param": 17864, - "城县": 17865, - "inos": 17866, - "内涵": 17867, - "▁si": 17868, - "ulatory": 17869, - "iments": 17870, - "▁fusion": 17871, - "▁Hamilton": 17872, - "▁regulations": 17873, - "browser": 17874, - "▁hal": 17875, - "TM": 17876, - "ABC": 17877, - "▁nur": 17878, - "ORY": 17879, - "ixin": 17880, - "▁reaching": 17881, - "▁Consider": 17882, - "清理": 17883, - "▁explains": 17884, - "还不": 17885, - "BASE": 17886, - "usal": 17887, - "▁Soc": 17888, - "ensis": 17889, - "商场": 17890, - "的过程中": 17891, - "notation": 17892, - "▁artificial": 17893, - "ige": 17894, - "▁Arizona": 17895, - "Arr": 17896, - "viously": 17897, - "▁therapies": 17898, - "▁conclude": 17899, - "▁delight": 17900, - "Policy": 17901, - "耳机": 17902, - "▁▁▁▁▁▁▁▁▁": 17903, - "▁telling": 17904, - "▁manufacturers": 17905, - "Med": 17906, - "疫苗": 17907, - "Transform": 17908, - "▁savings": 17909, - "邮件": 17910, - "▁calendar": 17911, - "STRA": 17912, - "High": 17913, - "▁derivatives": 17914, - "▁vertex": 17915, - "▁instruments": 17916, - "不但": 17917, - "▁Multi": 17918, - "▁Ocean": 17919, - "▁giant": 17920, - "Now": 17921, - "nWork": 17922, - "auge": 17923, - "nJohn": 17924, - "▁Jewish": 17925, - "失信": 17926, - "▁Indiana": 17927, - "archive": 17928, - "avelength": 17929, - "组成员": 17930, - "▁endothelial": 17931, - "纪律": 17932, - "▁engaged": 17933, - "开关": 17934, - "associated": 17935, - "年在": 17936, - "▁Anton": 17937, - "十二条第二款": 17938, - "成交": 17939, - "*;\\": 17940, - "SELECT": 17941, - "QUE": 17942, - "VI": 17943, - "ía": 17944, - "cfg": 17945, - "头发": 17946, - "angers": 17947, - "▁respective": 17948, - "▁frag": 17949, - "Android": 17950, - "线性": 17951, - "三个月": 17952, - "ritical": 17953, - "▁CF": 17954, - "▁modes": 17955, - "销量": 17956, - "nz": 17957, - "密封": 17958, - "estab": 17959, - "validation": 17960, - "oustic": 17961, - "▁implies": 17962, - "▁champion": 17963, - "▁Transport": 17964, - "▁Smart": 17965, - "PAR": 17966, - "▁Questions": 17967, - "物资": 17968, - "nHis": 17969, - "▁Students": 17970, - "已有": 17971, - "\\'):\\": 17972, - "▁athletes": 17973, - "▁HR": 17974, - "▁mature": 17975, - "standard": 17976, - "终审": 17977, - "etary": 17978, - "pk": 17979, - "▁accompan": 17980, - "cv": 17981, - "回顾": 17982, - "▁arth": 17983, - "▁Final": 17984, - "Package": 17985, - "hythm": 17986, - "rieve": 17987, - "别名": 17988, - "health": 17989, - "square": 17990, - "这篇": 17991, - "▁pic": 17992, - "▁industries": 17993, - "终结执行": 17994, - "南方": 17995, - "▁photography": 17996, - "下一": 17997, - "Serv": 17998, - "ellect": 17999, - "fly": 18000, - "▁gang": 18001, - "▁stronger": 18002, - "圆柱": 18003, - "nMed": 18004, - "并从": 18005, - "▁wins": 18006, - "▁intracellular": 18007, - "中国人": 18008, - "cribed": 18009, - "▁apt": 18010, - "▁ownership": 18011, - "杭州市": 18012, - "disambiguation": 18013, - "Day": 18014, - "地区的": 18015, - "朝阳": 18016, - "向上": 18017, - "▁arrive": 18018, - "perature": 18019, - "▁支持": 18020, - "▁cheese": 18021, - "动脉": 18022, - "元及利息": 18023, - "▁Cop": 18024, - "江市": 18025, - "Domain": 18026, - "生理": 18027, - "treated": 18028, - "声明": 18029, - "▁Wat": 18030, - "在一个": 18031, - "▁Hash": 18032, - "概述": 18033, - "▁Boolean": 18034, - "eros": 18035, - "▁Farm": 18036, - "▁Could": 18037, - "iors": 18038, - "Bytes": 18039, - "rivial": 18040, - "问题和": 18041, - "▁gest": 18042, - "设计师": 18043, - "▁Database": 18044, - "过于": 18045, - "▁flows": 18046, - "民众": 18047, - "补贴": 18048, - "enz": 18049, - "nNational": 18050, - "实例": 18051, - "Editor": 18052, - "▁Natural": 18053, - "unes": 18054, - "▁concluded": 18055, - "Bean": 18056, - "▁resistant": 18057, - "Obj": 18058, - "▁docs": 18059, - "▁('": 18060, - "▁promoting": 18061, - "works": 18062, - "▁EN": 18063, - "▁embedded": 18064, - "▁discrete": 18065, - "网页": 18066, - "logical": 18067, - "▁displays": 18068, - "etr": 18069, - "▁LA": 18070, - "columns": 18071, - "Sort": 18072, - "辐射": 18073, - "porters": 18074, - "的世界": 18075, - "排除": 18076, - "________________": 18077, - "▁randomly": 18078, - "乘法": 18079, - "▁sky": 18080, - "SW": 18081, - "Operation": 18082, - "▁finance": 18083, - "▁degradation": 18084, - "参考文献": 18085, - "'],\\": 18086, - "▁anten": 18087, - "海南": 18088, - "▁wrt": 18089, - "inking": 18090, - "configuration": 18091, - "Definition": 18092, - "▁inequality": 18093, - "linked": 18094, - "▁google": 18095, - "▁partially": 18096, - "▁img": 18097, - "的知识": 18098, - "▁eggs": 18099, - "isations": 18100, - "orption": 18101, - "Depend": 18102, - "▁worker": 18103, - "izza": 18104, - "creat": 18105, - "nSent": 18106, - "害怕": 18107, - "plify": 18108, - "▁specificity": 18109, - "asive": 18110, - "oen": 18111, - "市长": 18112, - "▁hoping": 18113, - "▁peer": 18114, - "▁unusual": 18115, - "▁intervals": 18116, - "▁cancell": 18117, - "日上午": 18118, - "nArt": 18119, - "nEn": 18120, - "▁о": 18121, - "▁carb": 18122, - "▁swimming": 18123, - "peat": 18124, - "秩序": 18125, - "important": 18126, - "▁孙": 18127, - "作物": 18128, - "无锡": 18129, - "▁refresh": 18130, - "unter": 18131, - "▁disabled": 18132, - "▁developmental": 18133, - "工作中": 18134, - "ivariate": 18135, - "▁Writ": 18136, - "▁orientation": 18137, - "*)": 18138, - "▁egg": 18139, - "appa": 18140, - "▁methyl": 18141, - "▁favourite": 18142, - "新冠": 18143, - "▁verbose": 18144, - "Di": 18145, - "▁reputation": 18146, - "证言": 18147, - "提高了": 18148, - "彩票": 18149, - "attributes": 18150, - "Omega": 18151, - "副局长": 18152, - "撤回上诉": 18153, - "音频": 18154, - "▁antagon": 18155, - "attribute": 18156, - "equence": 18157, - "reation": 18158, - "ichael": 18159, - "nOlympic": 18160, - "▁adventure": 18161, - "拘役": 18162, - "国产": 18163, - "幸运": 18164, - "aba": 18165, - "▁empir": 18166, - "odge": 18167, - "▁rh": 18168, - "诈骗": 18169, - "▁Cub": 18170, - "见过": 18171, - "判决书的第二": 18172, - "第一百七": 18173, - "单独": 18174, - "因被执行人": 18175, - "▁reform": 18176, - "gres": 18177, - "百度百科": 18178, - "▁Brand": 18179, - "Handle": 18180, - "Google": 18181, - "别人的": 18182, - "▁出处": 18183, - "coord": 18184, - "spective": 18185, - "▁processed": 18186, - "优良": 18187, - "它是": 18188, - "各大": 18189, - ">;\\": 18190, - "▁systematic": 18191, - "能不能": 18192, - "将军": 18193, - "nUsing": 18194, - "Total": 18195, - "一系列": 18196, - "IMIT": 18197, - "▁Viet": 18198, - "construct": 18199, - "▁chemotherapy": 18200, - "ighth": 18201, - "▁seriously": 18202, - "编写": 18203, - "patient": 18204, - "▁RO": 18205, - "收购": 18206, - "▁prostate": 18207, - "适用法律": 18208, - "riculum": 18209, - "看的": 18210, - "美女": 18211, - "的专业": 18212, - "iversary": 18213, - "▁nob": 18214, - "监督管理局": 18215, - "wikipedia": 18216, - "▁Edward": 18217, - "Don": 18218, - "激励": 18219, - "我知道": 18220, - "看法": 18221, - "▁certified": 18222, - "necho": 18223, - "▁authority": 18224, - "▁Look": 18225, - "住安徽省": 18226, - "▁obesity": 18227, - "▁tens": 18228, - "背后": 18229, - "▁assays": 18230, - "复习": 18231, - "判令被告": 18232, - "本院经审查认为": 18233, - "锈钢": 18234, - "不久": 18235, - "履行义务": 18236, - "口味": 18237, - "清偿": 18238, - "built": 18239, - "nGiven": 18240, - "订单": 18241, - "Example": 18242, - "▁confident": 18243, - "▁listening": 18244, - "▁uptake": 18245, - "要素": 18246, - "direction": 18247, - "nAb": 18248, - "loss": 18249, - "是非常": 18250, - "▁Tag": 18251, - "▁Hung": 18252, - "▁Write": 18253, - "dh": 18254, - "睡眠": 18255, - "▁confused": 18256, - "YPE": 18257, - "▁nums": 18258, - "riority": 18259, - "细菌": 18260, - "▁medication": 18261, - "USE": 18262, - "▁\\'@": 18263, - "uclear": 18264, - "▁\\\\\"": 18265, - "▁rose": 18266, - "▁Sound": 18267, - "高质量": 18268, - "▁riv": 18269, - "'),": 18270, - "公开开庭审理了本案": 18271, - "▁Davis": 18272, - "gly": 18273, - "ocyt": 18274, - "▁promoted": 18275, - "erd": 18276, - "▁CPU": 18277, - "洗衣": 18278, - "▁occas": 18279, - "wal": 18280, - "▁spectral": 18281, - "▁公司类型": 18282, - "▁span": 18283, - "▁Cy": 18284, - "癫痫": 18285, - "plotlib": 18286, - "新增": 18287, - "anga": 18288, - "▁SA": 18289, - "▁Athlet": 18290, - "disc": 18291, - 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"月二十四日": 25639, - "ONG": 25640, - "单价": 25641, - "号刑事裁定": 25642, - "ozilla": 25643, - "▁Mind": 25644, - "▁temple": 25645, - "内在": 25646, - "中毒": 25647, - "▁mutual": 25648, - "▁metals": 25649, - "▁nanoparticles": 25650, - "▁Experience": 25651, - "▁configured": 25652, - "先锋": 25653, - "教研": 25654, - "otypic": 25655, - "▁secrets": 25656, - "就读": 25657, - "exceptions": 25658, - "▁Vent": 25659, - "About": 25660, - "内地": 25661, - "herent": 25662, - "▁coastal": 25663, - "膨胀": 25664, - "offee": 25665, - "encer": 25666, - "toEqual": 25667, - "▁skeletal": 25668, - "户型": 25669, - "▁#{": 25670, - "olia": 25671, - "qa": 25672, - "▁leukemia": 25673, - "▁Pod": 25674, - "▁Bart": 25675, - "tier": 25676, - "▁lean": 25677, - "encil": 25678, - "▁Memory": 25679, - "▁Transform": 25680, - "我对": 25681, - "redux": 25682, - "真空": 25683, - "TL": 25684, - "▁dur": 25685, - "▁Attorney": 25686, - "感的": 25687, - "Flag": 25688, - "▁supplier": 25689, - "十一条": 25690, - "yer": 25691, - ">}": 25692, - "与此": 25693, - "▁customized": 25694, - 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"▁Tar": 29081, - "▁guns": 29082, - "reduce": 29083, - "▁escort": 29084, - "▁Ric": 29085, - "▁cis": 29086, - "carbon": 29087, - "▁DIS": 29088, - "投放": 29089, - "pract": 29090, - "战场": 29091, - "和分析思路": 29092, - "invasive": 29093, - "自杀": 29094, - "Life": 29095, - "▁polymerase": 29096, - "找个": 29097, - "▁Rat": 29098, - "▁lazy": 29099, - "Redirect": 29100, - "塞尔": 29101, - "有关规定": 29102, - "理论与": 29103, - "一般来说": 29104, - "▁YOUR": 29105, - "跨越": 29106, - "personal": 29107, - "Asp": 29108, - "的风险": 29109, - "pective": 29110, - "▁daughters": 29111, - "不堪": 29112, - "减半收取计": 29113, - "▁Alpha": 29114, - "▁affiliate": 29115, - "aligned": 29116, - "澳洲": 29117, - "▁Ghana": 29118, - "我真的": 29119, - "年毕业于": 29120, - "瑞士": 29121, - "让学生": 29122, - "如图": 29123, - "▁cous": 29124, - "▁bless": 29125, - "arded": 29126, - "ictional": 29127, - "钥匙": 29128, - "udes": 29129, - "▁&&\\": 29130, - "比如说": 29131, - "rition": 29132, - "▁Jonathan": 29133, - "▁Stars": 29134, - "管制": 29135, - "仅供参考": 29136, - "▁castle": 29137, - "分裂": 29138, - "atomy": 29139, - "▁Statement": 29140, - "▁pine": 29141, - "Perm": 29142, - "acting": 29143, - "起步": 29144, - "]))": 29145, - "shine": 29146, - "▁harmonic": 29147, - "中外": 29148, - "紧紧": 29149, - "fed": 29150, - "tot": 29151, - "出生于": 29152, - "深深": 29153, - "技术人员": 29154, - "▁hemorrh": 29155, - "▁deficits": 29156, - "▁commune": 29157, - "的原": 29158, - "▁prescribed": 29159, - "浸泡": 29160, - "▁sized": 29161, - "▁joints": 29162, - "江山": 29163, - "luence": 29164, - "知识和": 29165, - "vision": 29166, - "较强的": 29167, - "▁$\\\\{": 29168, - "▁Icon": 29169, - "▁intrac": 29170, - "心动": 29171, - "▁({\\": 29172, - "twhile": 29173, - "炎症": 29174, - "jun": 29175, - "▁costly": 29176, - "they": 29177, - "这道选择题": 29178, - "PEG": 29179, - "permalink": 29180, - "OTE": 29181, - "laration": 29182, - "adapter": 29183, - "nItalian": 29184, - "endant": 29185, - "▁adherence": 29186, - "▁dend": 29187, - "ICATION": 29188, - "▁Tan": 29189, - "▁Warren": 29190, - "▁ambit": 29191, - "不受申请执行": 29192, - "feedback": 29193, - "independent": 29194, - "准予原告": 29195, - "▁Problems": 29196, - "度过": 29197, - "▁progen": 29198, - "▁permits": 29199, - "▁uter": 29200, - "due": 29201, - "nMaybe": 29202, - "▁milit": 29203, - "leaf": 29204, - "▁TGF": 29205, - "Share": 29206, - "▁Palace": 29207, - "亏损": 29208, - "▁注音": 29209, - "▁Fried": 29210, - "有益": 29211, - "LEASE": 29212, - "okers": 29213, - "▁assured": 29214, - "制片": 29215, - "灰色": 29216, - "对自己的": 29217, - "▁Improve": 29218, - "adays": 29219, - "▁homeost": 29220, - "▁Sent": 29221, - "Dynamic": 29222, - "▁spectrometry": 29223, - "▁relaxing": 29224, - "仔细阅读": 29225, - "▁Kle": 29226, - "▁Portuguese": 29227, - "/\\'": 29228, - "hooks": 29229, - "着的": 29230, - "▁irrit": 29231, - "若是": 29232, - "▁dopamine": 29233, - "nax": 29234, - "▁Campbell": 29235, - "flush": 29236, - "▁penet": 29237, - "nJan": 29238, - "▁LC": 29239, - "▁nested": 29240, - "Expected": 29241, - "Management": 29242, - "▁ventilation": 29243, - "▁ug": 29244, - "▁bout": 29245, - "supported": 29246, - "▁energies": 29247, - "建军": 29248, - "▁aqueous": 29249, - "亲子": 29250, - "越高": 29251, - "ORE": 29252, - "postgres": 29253, - "MY": 29254, - "核实": 29255, - "失去了": 29256, - "▁naked": 29257, - "]['": 29258, - "行包含": 29259, - "haviour": 29260, - "▁Ce": 29261, - "的交": 29262, - "arct": 29263, - "matched": 29264, - "▁crystals": 29265, - "}}(": 29266, - "unknown": 29267, - "▁Weight": 29268, - "这对": 29269, - "Warning": 29270, - "▁rejection": 29271, - "createElement": 29272, - "▁resil": 29273, - "▁blogs": 29274, - "▁shelf": 29275, - "nST": 29276, - "缓慢": 29277, - "ximity": 29278, - "▁ranged": 29279, - "佩戴": 29280, - "opol": 29281, - "enes": 29282, - "▁gaining": 29283, - "▁pics": 29284, - "▁predictors": 29285, - "uropean": 29286, - "滨海": 29287, - "银川": 29288, - "独自": 29289, - "▁Ku": 29290, - "▁ou": 29291, - "▁STE": 29292, - "▁Salt": 29293, - "arians": 29294, - "Cluster": 29295, - "assy": 29296, - "摆脱": 29297, - "rain": 29298, - "▁shipped": 29299, - "总量": 29300, - "mall": 29301, - "▁imports": 29302, - "▁anchor": 29303, - "▁Homework": 29304, - "opedia": 29305, - "▁homogeneous": 29306, - "走的": 29307, - "yler": 29308, - "achers": 29309, - "花的": 29310, - "clipse": 29311, - "▁Domain": 29312, - "JP": 29313, - "本裁定书送达后立即生效": 29314, - "▁accompanying": 29315, - "die": 29316, - "判决执行以前先行羁押的": 29317, - "负面": 29318, - "▁Fal": 29319, - "▁Entry": 29320, - "▁freely": 29321, - "∈[": 29322, - "递减": 29323, - "Arrays": 29324, - "imgur": 29325, - "前锋": 29326, - "▁expend": 29327, - "推行": 29328, - "Exists": 29329, - "改造积极分子": 29330, - "的销售": 29331, - "分母": 29332, - "若干问题的意见": 29333, - "▁expectation": 29334, - "▁existed": 29335, - "▁scientist": 29336, - "▁Documentation": 29337, - "延迟": 29338, - "中秋": 29339, - "▁keywords": 29340, - "nSer": 29341, - "智商": 29342, - "▁satisfies": 29343, - "reliminary": 29344, - "▁silicon": 29345, - "战胜": 29346, - "amate": 29347, - "authent": 29348, - "▁cooked": 29349, - "typed": 29350, - "▁Carbon": 29351, - "▁Voivodeship": 29352, - "她在": 29353, - "▁SEC": 29354, - "▁Fant": 29355, - "▁isolate": 29356, - "各有": 29357, - "艺人": 29358, - "企业家": 29359, - "▁Rud": 29360, - "缓刑考验": 29361, - "wire": 29362, - "fen": 29363, - "电站": 29364, - "▁connects": 29365, - "▁%(": 29366, - "的一项": 29367, - "▁Dav": 29368, - "▁Ts": 29369, - "功能的": 29370, - "▁Squ": 29371, - "attach": 29372, - "▁tuberculosis": 29373, - "蝴蝶": 29374, - "TextField": 29375, - "▁intersect": 29376, - "进行了审查": 29377, - "借款合同纠纷一案中": 29378, - "avitational": 29379, - "得多": 29380, - "Authorization": 29381, - "刊物": 29382, - "所作": 29383, - "iffs": 29384, - "奖惩": 29385, - "专注于": 29386, - "▁symptom": 29387, - "radio": 29388, - "肠道": 29389, - "备考": 29390, - "tat": 29391, - "sever": 29392, - "罪犯评审鉴定表": 29393, - "▁heterogeneous": 29394, - "▁disrupt": 29395, - "DH": 29396, - "cells": 29397, - "▁Dynamic": 29398, - "▁vibrant": 29399, - "Errors": 29400, - ">#": 29401, - "沉默": 29402, - "▁shore": 29403, - "astics": 29404, - "ENS": 29405, - "bay": 29406, - "drive": 29407, - "▁Woman": 29408, - "▁Commons": 29409, - "是为": 29410, - "▁Ster": 29411, - 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"▁cs": 29467, - "cuts": 29468, - "▁Athletics": 29469, - "暑假": 29470, - "▁NASA": 29471, - "▁LE": 29472, - "▁dashboard": 29473, - "支援": 29474, - "alph": 29475, - "abulary": 29476, - "全面的": 29477, - "▁receipt": 29478, - "▁Transfer": 29479, - "▁elimination": 29480, - "jl": 29481, - "aptist": 29482, - "fm": 29483, - "口语": 29484, - "和高": 29485, - "▁beautifully": 29486, - "UX": 29487, - "icensing": 29488, - "▁logistic": 29489, - "计生": 29490, - "各部门": 29491, - "我不知道": 29492, - "▁ram": 29493, - "CAS": 29494, - "EMENT": 29495, - "木材": 29496, - "▁清": 29497, - "▁unve": 29498, - "▁whit": 29499, - "白菜": 29500, - "mong": 29501, - "▁trucks": 29502, - "第一百三十三条": 29503, - "所长": 29504, - "辨认": 29505, - "▁{},\\": 29506, - "▁loops": 29507, - "Primary": 29508, - "在意": 29509, - "REQUEST": 29510, - "▁relaxed": 29511, - "▁inclusive": 29512, - "纳入失信被执行人名单": 29513, - "赌博": 29514, - "▁demanding": 29515, - "到期后": 29516, - "▁Gene": 29517, - "▁spacious": 29518, - "等的": 29519, - "▁Ele": 29520, - "可爱的": 29521, - "Pointer": 29522, - "线程": 29523, - "▁ore": 29524, - "你还": 29525, - "婆婆": 29526, - "PRE": 29527, - "如实供述自己的": 29528, - "的方程": 29529, - "支付原告": 29530, - "castle": 29531, - "门店": 29532, - "一点点": 29533, - "▁界": 29534, - "黑白": 29535, - "▁${{": 29536, - "▁MAP": 29537, - "长沙市": 29538, - "Ignore": 29539, - "▁irradiation": 29540, - "uclide": 29541, - "cook": 29542, - "▁bankrupt": 29543, - "unge": 29544, - "开学": 29545, - "POS": 29546, - "hips": 29547, - "▁priz": 29548, - "seen": 29549, - "▁blo": 29550, - "咨询服务": 29551, - "heap": 29552, - "▁governance": 29553, - "华夏": 29554, - "formatics": 29555, - "▁Thai": 29556, - "assembly": 29557, - "▁样例": 29558, - "章节": 29559, - "uron": 29560, - "▁Cox": 29561, - "hero": 29562, - "▁WordPress": 29563, - "弥补": 29564, - "▁accred": 29565, - "▁implants": 29566, - "每一位": 29567, - "▁delays": 29568, - "nName": 29569, - "▁determinants": 29570, - "▁announc": 29571, - "inda": 29572, - "倒是": 29573, - "▁needle": 29574, - "▁throwing": 29575, - "iq": 29576, - "发光": 29577, - "的时代": 29578, - "▁neat": 29579, - 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"▁prevalent": 29855, - "▁mathematic": 29856, - "▁dub": 29857, - "▁Nevertheless": 29858, - "婚前": 29859, - "尔夫": 29860, - "▁Draft": 29861, - "的食物": 29862, - "joys": 29863, - "curl": 29864, - "经纪人": 29865, - "自定义": 29866, - "汉语词语": 29867, - "之日": 29868, - "较小": 29869, - "贩卖毒品罪": 29870, - "终止": 29871, - "xyz": 29872, - "appropriate": 29873, - "侧面": 29874, - "建模": 29875, - "▁mapped": 29876, - "▁Lanc": 29877, - "idy": 29878, - "▁synth": 29879, - "放射": 29880, - "线条": 29881, - "nWould": 29882, - "harm": 29883, - "ulsion": 29884, - "SUCCESS": 29885, - "杆菌": 29886, - "MN": 29887, - "士兵": 29888, - "esium": 29889, - "机身": 29890, - "不爱": 29891, - "或打车": 29892, - "我没有": 29893, - "玩法": 29894, - "Photo": 29895, - "Mut": 29896, - "▁扮演角色": 29897, - "▁cruise": 29898, - "必需": 29899, - "无所": 29900, - "长为": 29901, - "期满": 29902, - "甲醛": 29903, - "菜品": 29904, - "▁Surface": 29905, - "classmethod": 29906, - "tset": 29907, - "港市": 29908, - "▁lemon": 29909, - "▁melanoma": 29910, - "十章": 29911, - "▁ech": 29912, - "Machine": 29913, - "Today": 29914, - "▁dirt": 29915, - "下滑": 29916, - "priority": 29917, - "absolute": 29918, - "年被": 29919, - "底部": 29920, - "路段": 29921, - "▁pussy": 29922, - "opus": 29923, - "▁当": 29924, - "bage": 29925, - "Since": 29926, - "▁Synt": 29927, - "▁Distribution": 29928, - "显示屏": 29929, - "achi": 29930, - "▁nicely": 29931, - "▁你": 29932, - "十万": 29933, - "▁psychology": 29934, - "▁instability": 29935, - "bread": 29936, - "资源的": 29937, - "▁formally": 29938, - "▁instrumental": 29939, - "mailto": 29940, - "犯故意伤害罪": 29941, - "正弦": 29942, - "▁outs": 29943, - "▁transformations": 29944, - "▁ash": 29945, - "▁trails": 29946, - "▁tuned": 29947, - "▁comed": 29948, - "▁pleasant": 29949, - "授课": 29950, - "漏洞": 29951, - "这块": 29952, - "途中": 29953, - "inet": 29954, - "忽然": 29955, - "密集": 29956, - "umi": 29957, - "没错": 29958, - "退房": 29959, - "▁dtype": 29960, - "繁华": 29961, - "';": 29962, - "▁'<": 29963, - "▁contacted": 29964, - "temperature": 29965, - "nTime": 29966, - "▁sparse": 29967, - 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"NAL": 30025, - "▁Lisa": 30026, - "▁籍贯": 30027, - "ETHER": 30028, - "▁susceptible": 30029, - "开工": 30030, - "▁homeless": 30031, - "peror": 30032, - "average": 30033, - "五条": 30034, - "抽象": 30035, - "本案中": 30036, - "理工大学": 30037, - "▁reopen": 30038, - "▁warned": 30039, - "关爱": 30040, - "Tom": 30041, - "perial": 30042, - "think": 30043, - "▁原": 30044, - "着重": 30045, - "▁intravenous": 30046, - "▁Therapy": 30047, - "网红": 30048, - "▁lingu": 30049, - "▁maintains": 30050, - "mother": 30051, - "▁leverage": 30052, - "万物": 30053, - "时期的": 30054, - "三等奖": 30055, - "女的": 30056, - "nget": 30057, - "央视": 30058, - "▁sentences": 30059, - "贝壳": 30060, - "▁eager": 30061, - "fact": 30062, - "Organ": 30063, - "套装": 30064, - "▁uma": 30065, - "不利": 30066, - "▁Evans": 30067, - "▁Samuel": 30068, - "▁Sad": 30069, - "Plot": 30070, - "▁Fresh": 30071, - "▁boats": 30072, - "▁curvature": 30073, - "背景下": 30074, - "▁EXPRESS": 30075, - "习题": 30076, - "▁Agent": 30077, - "开水": 30078, - "STRING": 30079, - "在我国": 30080, - 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"▁catheter": 30138, - "▁sequential": 30139, - "得好": 30140, - "secondary": 30141, - "进取": 30142, - "女孩子": 30143, - "Month": 30144, - "integration": 30145, - "我们会": 30146, - "▁Generated": 30147, - "▁immunos": 30148, - "▁unittest": 30149, - "见的": 30150, - "kubernetes": 30151, - "▁zu": 30152, - "bag": 30153, - "▁EM": 30154, - "Nodes": 30155, - "elian": 30156, - "▁vulnerability": 30157, - "▁),": 30158, - "kdir": 30159, - "ín": 30160, - "指向": 30161, - "▁安装": 30162, - "在该": 30163, - "最有": 30164, - "▁单": 30165, - "▁Joint": 30166, - "码头": 30167, - "fare": 30168, - "▁Bond": 30169, - "Push": 30170, - "arus": 30171, - "仲裁委员会": 30172, - "插槽": 30173, - "球场": 30174, - "▁Om": 30175, - "▁notify": 30176, - "Intel": 30177, - "ophageal": 30178, - "刚才": 30179, - "干嘛": 30180, - "Len": 30181, - "iline": 30182, - "论述": 30183, - "buy": 30184, - "现羁押": 30185, - "巴巴": 30186, - "ributors": 30187, - "Adv": 30188, - "▁newspapers": 30189, - "▁entertaining": 30190, - "vid": 30191, - "坚守": 30192, - "▁Dragon": 30193, - "成型": 30194, - "▁Scholar": 30195, - "生肖": 30196, - "▁Programming": 30197, - "▁horn": 30198, - "▁stationary": 30199, - "}_{\\\\": 30200, - "▁obs": 30201, - "▁pulling": 30202, - "号民事判决书的本次执行程序": 30203, - "▁projected": 30204, - "丧失": 30205, - "与被告离婚": 30206, - "▁Murray": 30207, - "的无": 30208, - "不属于": 30209, - "adequ": 30210, - "小镇": 30211, - "▁twist": 30212, - "▁trunc": 30213, - "▁Amsterdam": 30214, - "▁Door": 30215, - "技术服务": 30216, - "▁proximal": 30217, - "▁许": 30218, - "▁sensit": 30219, - "▁foam": 30220, - "mbed": 30221, - "preter": 30222, - "▁responding": 30223, - "定量": 30224, - "▁conclusions": 30225, - ")}\\\\": 30226, - "▁Brew": 30227, - "▁cylind": 30228, - "loyd": 30229, - "▁inherited": 30230, - "行政处罚决定": 30231, - "servlet": 30232, - "▁谢": 30233, - "▁killer": 30234, - "次韵": 30235, - "足够的": 30236, - "中的应用": 30237, - "▁Lith": 30238, - "responsive": 30239, - "▁relatives": 30240, - "资深": 30241, - "▁NR": 30242, - "▁deposits": 30243, - "▁Mumbai": 30244, - "▁Commerce": 30245, - "▁serialize": 30246, - 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"Condition": 31081, - "样式": 31082, - "▁Always": 31083, - "▁barely": 31084, - "▁sporting": 31085, - "▁stub": 31086, - "▁beans": 31087, - "▁dairy": 31088, - "▁Define": 31089, - "▁cooper": 31090, - "uta": 31091, - "▁pants": 31092, - "▁divisions": 31093, - "▁enjoyable": 31094, - "QUI": 31095, - "counts": 31096, - "▁incorporating": 31097, - "遵守监规": 31098, - "▁Oracle": 31099, - "是否准许": 31100, - "compatible": 31101, - "logout": 31102, - "transl": 31103, - "并承担": 31104, - "▁Ru": 31105, - "未果": 31106, - "▁Champion": 31107, - "经本院传票传唤": 31108, - "▁mt": 31109, - "▁harmon": 31110, - "▁Billboard": 31111, - "nSte": 31112, - "湖区": 31113, - "ospel": 31114, - "viewer": 31115, - "▁ensemble": 31116, - "范畴": 31117, - "lest": 31118, - "普通程序": 31119, - "▁priced": 31120, - "忠诚": 31121, - "▁jaw": 31122, - "ricane": 31123, - "将自己": 31124, - "club": 31125, - "▁atmospheric": 31126, - "ostat": 31127, - "grams": 31128, - "started": 31129, - "▁都市": 31130, - "▁stolen": 31131, - "绝缘": 31132, - "也比较": 31133, - "▁Face": 31134, - 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"ril": 31475, - "olysis": 31476, - "▁dozens": 31477, - "▁markedly": 31478, - "DN": 31479, - "▁Medicare": 31480, - "opacity": 31481, - "ERN": 31482, - "▁rolled": 31483, - "会让": 31484, - "党史": 31485, - "▁alphabet": 31486, - "▁transparency": 31487, - "简便": 31488, - "▁occupational": 31489, - "▁\"*": 31490, - "▁printf": 31491, - "签订的": 31492, - "elo": 31493, - "obar": 31494, - "shirt": 31495, - "勇士": 31496, - "口号": 31497, - "▁ARISING": 31498, - "妙的": 31499, - "▁tran": 31500, - "▁uuid": 31501, - "▁entrepreneurs": 31502, - "连云": 31503, - "nnpm": 31504, - "▁surgeon": 31505, - "▁notebook": 31506, - "died": 31507, - "▁dying": 31508, - "▁advocate": 31509, - "关税": 31510, - "风情": 31511, - "▁GPU": 31512, - "宁夏回族自治区": 31513, - "workspace": 31514, - "▁invitation": 31515, - "▁龙": 31516, - "之人": 31517, - "▁IGF": 31518, - "▁tremendous": 31519, - "Scan": 31520, - "iplinary": 31521, - "众人": 31522, - "▁SPE": 31523, - "骄傲": 31524, - "▁CLA": 31525, - "▁Fig": 31526, - "curr": 31527, - "▁其四": 31528, - "日受理后": 31529, - "Owner": 31530, - "▁tablets": 31531, - "▁elliptic": 31532, - "▁endorse": 31533, - "看书": 31534, - "lst": 31535, - "伤心": 31536, - "袖添香": 31537, - "middle": 31538, - "增速": 31539, - "ativ": 31540, - "ulators": 31541, - "▁memorable": 31542, - "烹饪": 31543, - "有多种": 31544, - "▁inert": 31545, - "ocs": 31546, - "▁材料": 31547, - "latex": 31548, - "实训": 31549, - "quisite": 31550, - "▁tumour": 31551, - "本届": 31552, - "翻炒": 31553, - "nCould": 31554, - "腐败": 31555, - "具体情况": 31556, - "光伏": 31557, - "媳妇": 31558, - "manifest": 31559, - "院士": 31560, - "Children": 31561, - "etheless": 31562, - "▁forwards": 31563, - "▁cleaned": 31564, - "▁stupid": 31565, - "▁activists": 31566, - "▁concentrated": 31567, - "国民党": 31568, - "演奏": 31569, - "oping": 31570, - "airo": 31571, - "▁nomine": 31572, - "银河": 31573, - "controllers": 31574, - "▁counseling": 31575, - "三千": 31576, - "syntax": 31577, - "Student": 31578, - "中关村": 31579, - "的取值范围是": 31580, - "▁endless": 31581, - "款式": 31582, - "logen": 31583, - "CU": 31584, - "kb": 31585, - "▁retreat": 31586, - "坚强": 31587, - "德市": 31588, - "辅料": 31589, - "前沿": 31590, - "▁Horn": 31591, - "ceedings": 31592, - "▁attorneys": 31593, - "我能": 31594, - "下属": 31595, - "廉政": 31596, - "对称轴": 31597, - "查明被执行人": 31598, - "▁grammar": 31599, - "Effects": 31600, - "nparser": 31601, - "▁celebrating": 31602, - "科大学": 31603, - "fh": 31604, - "百家": 31605, - "▁cu": 31606, - "▁Collins": 31607, - "▁allegations": 31608, - "Monitor": 31609, - "nResearch": 31610, - "五大": 31611, - "沿海": 31612, - "法和": 31613, - "▁Applied": 31614, - "▁portrait": 31615, - "▁allocated": 31616, - "各方面": 31617, - "▁farming": 31618, - "太子": 31619, - "把你": 31620, - "Bool": 31621, - "nYeah": 31622, - "▁IEEE": 31623, - "当作": 31624, - "花卉": 31625, - "▁Vermont": 31626, - "采信": 31627, - "ensitive": 31628, - "illation": 31629, - "▁VI": 31630, - "▁Header": 31631, - "联动": 31632, - "▁petition": 31633, - "的成绩": 31634, - "香蕉": 31635, - "'];\\": 31636, - "pyplot": 31637, - "▁Cricket": 31638, - "▁excitement": 31639, - "吸烟": 31640, - 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"ermark": 33684, - "▁positioned": 33685, - "绝大多数": 33686, - "▁timed": 33687, - "feld": 33688, - "raham": 33689, - "每一次": 33690, - "dv": 33691, - "洗衣机": 33692, - "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁": 33693, - "▁cele": 33694, - "众所周知": 33695, - "listener": 33696, - "▁WHO": 33697, - "▁appreciation": 33698, - "▁GHz": 33699, - "▁transduction": 33700, - "充分利用": 33701, - "将成为": 33702, - "▁Roberts": 33703, - "▁Emeritus": 33704, - "▁gravitational": 33705, - "很喜欢": 33706, - "▁Enh": 33707, - "▁Rather": 33708, - "▁purely": 33709, - "▁mailing": 33710, - "开封": 33711, - "必定": 33712, - "▁Chain": 33713, - "成立了": 33714, - "强烈的": 33715, - "秋风": 33716, - "▁obstacles": 33717, - "yc": 33718, - "奥斯": 33719, - "▁appet": 33720, - "▁%>": 33721, - "engu": 33722, - "马来西亚": 33723, - "▁Tigers": 33724, - "大海": 33725, - "清代": 33726, - "arently": 33727, - "digital": 33728, - "▁Luck": 33729, - "opoietic": 33730, - "▁dressed": 33731, - "老大": 33732, - "打卡": 33733, - "空军": 33734, - "老鼠": 33735, - "itary": 33736, - "▁honour": 33737, - "acterial": 33738, - "Typ": 33739, - "总书记": 33740, - "对该犯": 33741, - "▁practicing": 33742, - "far": 33743, - "ocular": 33744, - "▁Rivers": 33745, - "男的": 33746, - "writers": 33747, - "manage": 33748, - "▁bean": 33749, - "fixture": 33750, - "▁Kirk": 33751, - "▁supplements": 33752, - "nPS": 33753, - "elles": 33754, - "pressed": 33755, - "年第": 33756, - "▁accessing": 33757, - "街头": 33758, - "了被执行人": 33759, - "▁PB": 33760, - "▁Democrat": 33761, - "<\\": 33762, - "卖出": 33763, - "Commands": 33764, - "nVery": 33765, - "▁flowing": 33766, - "▁friendship": 33767, - "IPS": 33768, - "}}^{": 33769, - "▁rgb": 33770, - "▁Buddh": 33771, - "研究生院": 33772, - "touch": 33773, - "▁Extract": 33774, - "▁Iceland": 33775, - "时长": 33776, - "论证": 33777, - "CLASS": 33778, - "▁initiate": 33779, - "tub": 33780, - "▁cooperative": 33781, - "FilePath": 33782, - "老虎": 33783, - "给出了": 33784, - "▁Chelsea": 33785, - "▁HOLDERS": 33786, - "▁fundament": 33787, - "市中": 33788, - "监理": 33789, - "Sound": 33790, - "本院依法适用简易程序": 33791, - "ecom": 33792, - "▁throughput": 33793, - "emade": 33794, - "gateway": 33795, - "瓷砖": 33796, - "faster": 33797, - "▁honored": 33798, - "▁Expected": 33799, - "▁):\\": 33800, - "硕士学位": 33801, - "▁拉丁": 33802, - "azole": 33803, - "eclipse": 33804, - "科室": 33805, - "一律": 33806, - "想说": 33807, - "AVA": 33808, - "医科大学": 33809, - "可以根据": 33810, - "乘以": 33811, - "igating": 33812, - "erget": 33813, - "差点": 33814, - "贯穿": 33815, - "KO": 33816, - "▁spat": 33817, - "看你": 33818, - "的比例": 33819, - "cedure": 33820, - "▁Fisher": 33821, - "▁whites": 33822, - "中途": 33823, - "我也是": 33824, - "▁Notice": 33825, - "怪物": 33826, - "▁Stay": 33827, - "coverage": 33828, - "South": 33829, - "▁absorb": 33830, - "games": 33831, - "Low": 33832, - "洋葱": 33833, - "▁Until": 33834, - "▁Bernard": 33835, - "▁adventures": 33836, - "叔叔": 33837, - "报表": 33838, - "essa": 33839, - "农村经济": 33840, - "Desktop": 33841, - "大米": 33842, - "duino": 33843, - "区人民检察院以": 33844, - "▁Various": 33845, - "▁appropriately": 33846, - "生殖": 33847, - "想的": 33848, - "imm": 33849, - "refs": 33850, - "▁REST": 33851, - "wi": 33852, - "▁Prep": 33853, - "▁Github": 33854, - "▁Picture": 33855, - "DateTimeField": 33856, - "nPaul": 33857, - "不来": 33858, - "人为本": 33859, - "▁Ran": 33860, - "▁athletic": 33861, - "价款": 33862, - "已经在": 33863, - "phantom": 33864, - "▁Baptist": 33865, - "▁ids": 33866, - "handlers": 33867, - "▁Regular": 33868, - "▁Extra": 33869, - "Ma": 33870, - "天上": 33871, - "▁Equation": 33872, - "退货": 33873, - "NUM": 33874, - "▁caf": 33875, - "管理员": 33876, - "quantity": 33877, - "已经有": 33878, - "的实现": 33879, - "▁Austrian": 33880, - "哪种": 33881, - "所求": 33882, - "用到的": 33883, - "viewport": 33884, - "▁hypoxia": 33885, - "▁guarantees": 33886, - "eward": 33887, - "signature": 33888, - "▁Pil": 33889, - "还是比较": 33890, - "icked": 33891, - "WP": 33892, - "▁冯": 33893, - "Lines": 33894, - "▁Agriculture": 33895, - "我最": 33896, - "缺失": 33897, - "以色列": 33898, - "xit": 33899, - "结晶": 33900, - "副总经理": 33901, - "▁storing": 33902, - "▁NM": 33903, - "Running": 33904, - "▁tx": 33905, - "▁\\\\(\\\\": 33906, - "海岸": 33907, - "▁trainer": 33908, - "渲染": 33909, - "文案": 33910, - "这些都是": 33911, - "ussels": 33912, - "他用": 33913, - "robe": 33914, - "cad": 33915, - "再见": 33916, - "▁burg": 33917, - "▁Differential": 33918, - "▁surprisingly": 33919, - "▁unprecedented": 33920, - "Small": 33921, - "外资": 33922, - "方法和": 33923, - "▁Harm": 33924, - "▁evolving": 33925, - "usted": 33926, - "▁Points": 33927, - "Sil": 33928, - "▁qualification": 33929, - "外地": 33930, - "失眠": 33931, - "▁Updated": 33932, - "上映": 33933, - "NODE": 33934, - "▁Nar": 33935, - "accounts": 33936, - "▁drawings": 33937, - "]>": 33938, - "CONF": 33939, - "的艺术": 33940, - "执行条件": 33941, - "%~": 33942, - "%%%%": 33943, - "Then": 33944, - "staff": 33945, - "轮回": 33946, - "uvant": 33947, - "▁Plot": 33948, - "ци": 33949, - "nJapanese": 33950, - "二个月": 33951, - "▁pressed": 33952, - "号案": 33953, - "venile": 33954, - "督导": 33955, - "注意力": 33956, - "▁Political": 33957, - "▁specimen": 33958, - "亚马": 33959, - "的一般": 33960, - "表示为": 33961, - "iji": 33962, - "Fast": 33963, - "▁buses": 33964, - "▁alloy": 33965, - "▁examinations": 33966, - "▁referral": 33967, - "▁Handle": 33968, - "诊疗": 33969, - "儿女": 33970, - "▁Consumer": 33971, - "▁excitation": 33972, - "不愿": 33973, - "SUV": 33974, - "termin": 33975, - "ISS": 33976, - "arrass": 33977, - "▁Surgery": 33978, - "零点": 33979, - "▁medals": 33980, - "▁protests": 33981, - "脑袋": 33982, - "elp": 33983, - "选项错误": 33984, - "本院于同": 33985, - "▁fibroblasts": 33986, - "▁Holiday": 33987, - "▁coil": 33988, - "▁lungs": 33989, - "autiful": 33990, - "科员": 33991, - "ramid": 33992, - "▁Schedule": 33993, - "的意见": 33994, - "▁temporarily": 33995, - "nWatch": 33996, - "积极性": 33997, - "等因素": 33998, - "onucle": 33999, - "▁Observable": 34000, - "nAv": 34001, - "▁dots": 34002, - "条第一款之规定": 34003, - "visor": 34004, - "ulmonary": 34005, - "▁proceeds": 34006, - "▁annotation": 34007, - "七八": 34008, - "▁Gate": 34009, - "▁notified": 34010, - "▁Competition": 34011, - "离家": 34012, - "办公厅": 34013, - "▁theft": 34014, - "yu": 34015, - "事先": 34016, - "简化": 34017, - "▁perc": 34018, - "定向": 34019, - "▁aberr": 34020, - "▁cores": 34021, - "▁TA": 34022, - "▁synerg": 34023, - "篇小说": 34024, - "▁obsc": 34025, - "establish": 34026, - "verts": 34027, - "nSchool": 34028, - "▁soundtrack": 34029, - "的体积": 34030, - "的理论": 34031, - "研究方向": 34032, - "艰苦": 34033, - "▁√": 34034, - "idding": 34035, - "和一个": 34036, - "▁Orlando": 34037, - "长久": 34038, - "▁Solid": 34039, - "整天": 34040, - "十九章": 34041, - "下游": 34042, - "味的": 34043, - "将继续": 34044, - "posure": 34045, - "▁candy": 34046, - "Describe": 34047, - "freq": 34048, - "▁spotted": 34049, - "orum": 34050, - "▁Haz": 34051, - "desktop": 34052, - "信用卡中心": 34053, - "prising": 34054, - "▁hierarchy": 34055, - "射线": 34056, - "hall": 34057, - "共同生活": 34058, - "ievable": 34059, - "分明": 34060, - "▁directories": 34061, - "使用了": 34062, - "nMichael": 34063, - "▁overflow": 34064, - "▁clouds": 34065, - "▁worlds": 34066, - "▁Turner": 34067, - "▁Generate": 34068, - "bib": 34069, - "很高的": 34070, - "的用户": 34071, - "Country": 34072, - "rieved": 34073, - "买到": 34074, - "enton": 34075, - "itten": 34076, - "SULT": 34077, - "▁punch": 34078, - "▁enlarg": 34079, - "▁Academic": 34080, - "Mg": 34081, - "▁Steam": 34082, - "高低": 34083, - "处在": 34084, - "getValue": 34085, - "可以将": 34086, - "▁Certified": 34087, - "所得税": 34088, - "▁xen": 34089, - "报告财产": 34090, - "重要参数": 34091, - "▁reflecting": 34092, - "埃及": 34093, - "OFF": 34094, - "检公诉刑诉": 34095, - "imi": 34096, - "▁barg": 34097, - "▁Hack": 34098, - "▁corporations": 34099, - "okia": 34100, - "}}\\\\)": 34101, - "UTE": 34102, - "的可能性": 34103, - "icketer": 34104, - "▁Collabor": 34105, - "辩护人": 34106, - "Updated": 34107, - "▁rm": 34108, - "▁minerals": 34109, - "为本": 34110, - "测评": 34111, - "筹码": 34112, - "cedes": 34113, - "▁sweat": 34114, - "尔德": 34115, - "徐州": 34116, - "▁energet": 34117, - "溶解": 34118, - "行走": 34119, - "这座": 34120, - "mine": 34121, - "▁Hab": 34122, - "正方形的": 34123, - "lishes": 34124, - "▁informal": 34125, - "夸张": 34126, - 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"MX": 37480, - "公社": 37481, - "口的": 37482, - "▁spiral": 37483, - "▁inappropriate": 37484, - "▁Tot": 37485, - "readme": 37486, - "▁stair": 37487, - "▁Associates": 37488, - "iasm": 37489, - "成为一个": 37490, - "▁Maximum": 37491, - "▁amyloid": 37492, - "▁BS": 37493, - "angelog": 37494, - "▁Frances": 37495, - "▁unified": 37496, - "▁Veterans": 37497, - "▁晋江文学网": 37498, - "图中": 37499, - "处理的": 37500, - "▁{},": 37501, - "骨头": 37502, - "特色服务": 37503, - "▁ImportError": 37504, - "敬业": 37505, - "▁Direction": 37506, - "▁specializes": 37507, - "thumb": 37508, - "▁volt": 37509, - "法定代表人张": 37510, - "切片": 37511, - "逃离": 37512, - "▁\"(": 37513, - "▁pestic": 37514, - "字数": 37515, - "前三": 37516, - "▁styling": 37517, - "▁Healthcare": 37518, - "bis": 37519, - "stdin": 37520, - "主场": 37521, - "▁cues": 37522, - "Cursor": 37523, - "▁backyard": 37524, - "▁Parameters": 37525, - "utm": 37526, - "horizontal": 37527, - "书证": 37528, - "nEX": 37529, - "▁Guild": 37530, - "formatter": 37531, - "▁'__": 37532, - "paces": 37533, - "▁deserves": 37534, - "▁disturbance": 37535, - "剧中": 37536, - "))*": 37537, - "有两种": 37538, - "日经": 37539, - "▁CBD": 37540, - "这些问题": 37541, - "▁assure": 37542, - "▁Midd": 37543, - "▁outpatient": 37544, - "就看": 37545, - "指纹": 37546, - "anya": 37547, - "ré": 37548, - "▁sug": 37549, - "▁mate": 37550, - "▁Saskat": 37551, - "MMMMMMMM": 37552, - "要做": 37553, - "nse": 37554, - "按月利率": 37555, - "acional": 37556, - "▁acknowledge": 37557, - "▁practically": 37558, - "畅销": 37559, - "Src": 37560, - "说着": 37561, - "jsx": 37562, - "INCLUDE": 37563, - "执着": 37564, - "排行榜": 37565, - "cool": 37566, - "izens": 37567, - "▁adul": 37568, - "▁galleries": 37569, - "▁hammer": 37570, - "▁defective": 37571, - "rp": 37572, - "火山": 37573, - "baz": 37574, - "亲爱的": 37575, - "▁pear": 37576, - "▁bundles": 37577, - "▁seminar": 37578, - "marker": 37579, - "▁rankings": 37580, - "Guid": 37581, - "价值的财产": 37582, - "是将": 37583, - "些什么": 37584, - "'$": 37585, - "诊治": 37586, - "nCustom": 37587, - "▁formatted": 37588, - "对上述": 37589, - "atics": 37590, - "理想的": 37591, - "毁灭": 37592, - "Care": 37593, - "FFFF": 37594, - "vectors": 37595, - "▁Workers": 37596, - "倒数": 37597, - "agi": 37598, - "找房": 37599, - "会议室": 37600, - "网站的": 37601, - "奖惩审批表": 37602, - "在审理过程中": 37603, - "网络科技有限公司": 37604, - "现将": 37605, - "理智": 37606, - "手术治疗": 37607, - "年平均": 37608, - "easy": 37609, - "▁Vac": 37610, - "ippets": 37611, - "于本判决生效之日起十日内": 37612, - "▁潘": 37613, - "所选": 37614, - "二期": 37615, - "新产品": 37616, - ";&#": 37617, - "▁Launch": 37618, - "不胜": 37619, - "总线": 37620, - "增值税": 37621, - "▁Teacher": 37622, - "保湿": 37623, - "June": 37624, - "▁strom": 37625, - "astically": 37626, - "南宁市": 37627, - "日常生活中": 37628, - "▁remot": 37629, - "硫酸": 37630, - "第一条": 37631, - "▁Aur": 37632, - "应有": 37633, - "oux": 37634, - "国科大": 37635, - "扬子": 37636, - "nod": 37637, - "cale": 37638, - "▁flies": 37639, - "这三个": 37640, - "▁caregivers": 37641, - "与社会": 37642, - "▁inoc": 37643, - "nRight": 37644, - "roduce": 37645, - "▁additions": 37646, - "▁coherent": 37647, - "一来": 37648, - "故人": 37649, - "▁Imaging": 37650, - "发表于晋江文学网": 37651, - "奢侈": 37652, - "生导师": 37653, - "知道了": 37654, - "下标": 37655, - "lord": 37656, - "nWin": 37657, - "▁wanna": 37658, - "▁Anyone": 37659, - "聚餐": 37660, - "▁sine": 37661, - "执导": 37662, - "膳食": 37663, - "▁autumn": 37664, - "▁polymorphisms": 37665, - "匆匆": 37666, - "我爸": 37667, - "jdk": 37668, - "Seconds": 37669, - "▁Peninsula": 37670, - "滋味": 37671, - "▁重要参数": 37672, - "▁immunosup": 37673, - "志强": 37674, - "axes": 37675, - "ANGUAGE": 37676, - "▁Adelaide": 37677, - "vb": 37678, - "邮寄": 37679, - "玩游戏": 37680, - "opor": 37681, - "▁drill": 37682, - "Confirm": 37683, - "▁bicycle": 37684, - "▁Recovery": 37685, - "复旦": 37686, - "CLO": 37687, - "中档题": 37688, - "Modules": 37689, - "iversal": 37690, - "溶剂": 37691, - "▁fist": 37692, - "houses": 37693, - "无人机": 37694, - "igon": 37695, - "Begin": 37696, - "万事": 37697, - "财产调查": 37698, - "getClass": 37699, - "惊讶": 37700, - "▁wore": 37701, - "▁Actor": 37702, - "▁backward": 37703, - "▁aure": 37704, - "▁stems": 37705, - "▁spanning": 37706, - "发型": 37707, - "▁Newcastle": 37708, - "方差": 37709, - "明细": 37710, - "Missing": 37711, - "极具": 37712, - "海峡": 37713, - "▁CYP": 37714, - "effects": 37715, - "▁albumin": 37716, - "endum": 37717, - "▁behave": 37718, - "▁dw": 37719, - "▁bootstrap": 37720, - "▁competence": 37721, - "URN": 37722, - "降温": 37723, - "先进个人": 37724, - "▁quart": 37725, - "变异": 37726, - "FAIL": 37727, - "▁illustrations": 37728, - "nCong": 37729, - "▁farmer": 37730, - "▁recruiting": 37731, - "时针": 37732, - "至关": 37733, - "conditions": 37734, - "溪市": 37735, - "▁drying": 37736, - "▁魏": 37737, - "躺在": 37738, - "▁theat": 37739, - "nDesign": 37740, - "▁twisted": 37741, - "区内": 37742, - "很强": 37743, - "▁Jobs": 37744, - "▁酒店地址": 37745, - "▁verbal": 37746, - "▁depressed": 37747, - "力争": 37748, - "能力强": 37749, - "Drive": 37750, - "名师": 37751, - "them": 37752, - "▁Lloyd": 37753, - "▁deadly": 37754, - "▁patience": 37755, - "eterm": 37756, - "开辟": 37757, - "先用": 37758, - "天猫": 37759, - "ocarcinoma": 37760, - 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"hw": 37817, - "▁plasticity": 37818, - "▁fundraising": 37819, - "bugs": 37820, - "nimpl": 37821, - "▁pork": 37822, - "▁insulation": 37823, - "edo": 37824, - "nok": 37825, - "必须在": 37826, - "▁rhyth": 37827, - "式子": 37828, - "guid": 37829, - "Preview": 37830, - "号民事判决书已发生法律效力": 37831, - "(\"<": 37832, - "▁PF": 37833, - "nWest": 37834, - "ullivan": 37835, - "教科": 37836, - "Land": 37837, - "门外": 37838, - "Cross": 37839, - "▁Nintendo": 37840, - "did": 37841, - "enery": 37842, - "▁smokers": 37843, - "▁tasty": 37844, - "帖子": 37845, - "Docs": 37846, - "umen": 37847, - "可以缺席判决": 37848, - "这几个": 37849, - "SESSION": 37850, - "到你": 37851, - "一般情况下": 37852, - "})(": 37853, - "uded": 37854, - "astruct": 37855, - "凸显": 37856, - "录制": 37857, - "▁Nigerian": 37858, - "▁prolifer": 37859, - "不给": 37860, - "团购": 37861, - "▁anx": 37862, - "细胞的": 37863, - "▁编剧": 37864, - "▁planted": 37865, - "▁Election": 37866, - "▁古": 37867, - "ARM": 37868, - "ixon": 37869, - "oseph": 37870, - "▁Heavy": 37871, - "▁salmon": 37872, - 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"油田": 37987, - "▁主要成就": 37988, - "最重要的是": 37989, - "▁carotid": 37990, - "二元": 37991, - "▁contour": 37992, - "▁underway": 37993, - "选中": 37994, - "中型": 37995, - "当做": 37996, - "海水": 37997, - "可行性": 37998, - "独资": 37999, - "纪录片": 38000, - "▁Reports": 38001, - "▁prosper": 38002, - "▁tensorflow": 38003, - "废物": 38004, - "▁healthier": 38005, - "▁伟": 38006, - "▁cp": 38007, - "▁sqlalchemy": 38008, - "HK": 38009, - "不懈": 38010, - "Hom": 38011, - "▁cherry": 38012, - "▁profitable": 38013, - "习俗": 38014, - "▁适宜": 38015, - "▁grave": 38016, - "▁nicotine": 38017, - "▁程": 38018, - "财政部": 38019, - "身上的": 38020, - "▁Ana": 38021, - "▁Lok": 38022, - "▁BT": 38023, - "Books": 38024, - "▁unsure": 38025, - "▁compares": 38026, - "▁Jefferson": 38027, - "受众": 38028, - "▁Laser": 38029, - "▁executable": 38030, - "▁Born": 38031, - "vr": 38032, - "在全球": 38033, - "urbs": 38034, - "Called": 38035, - "机箱": 38036, - "过往": 38037, - "gomery": 38038, - "隔壁": 38039, - "▁normalize": 38040, - "nLook": 38041, - "▁orchestr": 38042, - "同意终结本次执行程序": 38043, - "得解": 38044, - "▁anatomy": 38045, - "成熟的": 38046, - "icky": 38047, - "▁spouse": 38048, - "▁Shipping": 38049, - "▁volatile": 38050, - "▁Birthday": 38051, - "周一": 38052, - "才华": 38053, - "水位": 38054, - "PCI": 38055, - "▁房间": 38056, - "▁depletion": 38057, - "ouis": 38058, - "ellows": 38059, - "▁touched": 38060, - "收款": 38061, - "教职工": 38062, - "bies": 38063, - "credit": 38064, - "又会": 38065, - "挣扎": 38066, - "敢于": 38067, - "Gs": 38068, - "cord": 38069, - "ettes": 38070, - "uator": 38071, - "平民": 38072, - "▁Sustain": 38073, - "▁biomass": 38074, - "取名": 38075, - "可以是": 38076, - "▁sentenced": 38077, - "的法律": 38078, - "raper": 38079, - "阴影": 38080, - "第七十八": 38081, - "Dataset": 38082, - "比为": 38083, - "\\\\*": 38084, - "日被刑事拘留": 38085, - "technology": 38086, - "我所": 38087, - "可用于": 38088, - "是国内": 38089, - "▁railroad": 38090, - "▁GOP": 38091, - "EXPECT": 38092, - "UserId": 38093, - "▁densities": 38094, - "格尔": 38095, - "natural": 38096, - "Constant": 38097, - "▁threading": 38098, - "彩礼": 38099, - "▁TEST": 38100, - "跳舞": 38101, - "tpl": 38102, - "中国经济": 38103, - "▁alloc": 38104, - "▁Salmon": 38105, - "流感": 38106, - "rossover": 38107, - "▁cfg": 38108, - "▁cation": 38109, - "ViewById": 38110, - "ди": 38111, - "fasterxml": 38112, - "▁Nas": 38113, - "的白": 38114, - "奖学金": 38115, - "管理中心": 38116, - "▁commemor": 38117, - "nUnincorporated": 38118, - "▁Guardian": 38119, - "▁userId": 38120, - "殖民": 38121, - "▁CAP": 38122, - "▁Reader": 38123, - "▁reactor": 38124, - "自古": 38125, - "▁Career": 38126, - "▁anatomical": 38127, - "国道": 38128, - "而且还": 38129, - "公诉机关指控的": 38130, - "dirs": 38131, - "二代": 38132, - "▁stap": 38133, - "▁Athens": 38134, - "comfortable": 38135, - "nOct": 38136, - "verb": 38137, - "抗菌": 38138, - "aspberry": 38139, - "清朝": 38140, - "nTest": 38141, - "▁harness": 38142, - "偏差": 38143, - "印发": 38144, - "并为": 38145, - "▁founders": 38146, - "▁understands": 38147, - "▁deline": 38148, - "government": 38149, - "▁Ny": 38150, - "▁generalization": 38151, - "海域": 38152, - "IGH": 38153, - "▁Cluster": 38154, - "▁Hour": 38155, - "第一百零三": 38156, - "▁resear": 38157, - "Multiple": 38158, - "两家": 38159, - "▁Gam": 38160, - "mania": 38161, - "准予强制执行": 38162, - "采样": 38163, - "sessions": 38164, - "▁Nursing": 38165, - "nid": 38166, - "oya": 38167, - "▁mas": 38168, - "的了": 38169, - "逃避": 38170, - "的主题": 38171, - "的症状": 38172, - "nSur": 38173, - "▁Often": 38174, - "▁drunk": 38175, - "▁explosion": 38176, - "光线": 38177, - "threat": 38178, - "▁seizures": 38179, - "▁deprecated": 38180, - "▁rebuild": 38181, - "一副": 38182, - "限期": 38183, - "▁bos": 38184, - "cerpt": 38185, - "▁Defence": 38186, - "二〇一五年十二月": 38187, - "胆固醇": 38188, - "erie": 38189, - "'''": 38190, - "nBen": 38191, - "▁Paulo": 38192, - "和工作": 38193, - "▁collaborate": 38194, - "人之": 38195, - "要使": 38196, - "npro": 38197, - "暴雨": 38198, - "▁rope": 38199, - "离婚纠纷一案中": 38200, - "Solution": 38201, - "代书": 38202, - "蒸发": 38203, - "▁Lis": 38204, - "户籍所在地": 38205, - "ctuary": 38206, - "▁Brother": 38207, - "Her": 38208, - "gang": 38209, - "iphone": 38210, - "rogate": 38211, - "▁fibrin": 38212, - "世界各地": 38213, - "不同类型的": 38214, - "不和": 38215, - "估算": 38216, - "时时彩": 38217, - "▁Byte": 38218, - "▁unused": 38219, - ":<": 38220, - "冠状": 38221, - "联系方式": 38222, - "▁Hillary": 38223, - "可以把": 38224, - "影响的": 38225, - "▁capturing": 38226, - "▁dismissed": 38227, - "这事": 38228, - "限定": 38229, - "iggs": 38230, - "▁pituitary": 38231, - "下辖": 38232, - "生产经营": 38233, - "▁pharmacy": 38234, - "▁successive": 38235, - "抱歉": 38236, - "电线": 38237, - "麒麟": 38238, - "批准后": 38239, - "Deep": 38240, - "▁Lac": 38241, - "▁extern": 38242, - "▁modifying": 38243, - "ın": 38244, - "尺度": 38245, - "督查": 38246, - "自愿认罪": 38247, - "捐款": 38248, - "合唱": 38249, - "▁型号": 38250, - "体现在": 38251, - "ursors": 38252, - "被盗": 38253, - "日依法": 38254, - "▁Cru": 38255, - "一点的": 38256, - "fram": 38257, - "oxic": 38258, - "中国科学院大学": 38259, - "analytics": 38260, - "▁Developer": 38261, - "▁HV": 38262, - "▁Tesla": 38263, - "曲线的": 38264, - "▁monster": 38265, - "菏泽": 38266, - "▁affiliates": 38267, - "华盛": 38268, - "任何人": 38269, - "特别的": 38270, - "▁innings": 38271, - "故宫": 38272, - "▁ssh": 38273, - "roleum": 38274, - "万的": 38275, - "获利": 38276, - "衰竭": 38277, - "LET": 38278, - "▁Sak": 38279, - "partner": 38280, - "nDefunct": 38281, - "就得": 38282, - "华北": 38283, - "▁Static": 38284, - "idas": 38285, - "▁inaugural": 38286, - "市新": 38287, - "犹如": 38288, - "▁spy": 38289, - "▁seniors": 38290, - "派遣": 38291, - "MODEL": 38292, - "▁wast": 38293, - "▁Neural": 38294, - "学子": 38295, - "都会有": 38296, - "经人介绍": 38297, - "▁青": 38298, - "该项目": 38299, - "macro": 38300, - "产的": 38301, - "nId": 38302, - "amboo": 38303, - "handed": 38304, - "▁rises": 38305, - "▁sepsis": 38306, - "▁realm": 38307, - "▁lipids": 38308, - "粉末": 38309, - "▁DOI": 38310, - "brities": 38311, - "▁spokesperson": 38312, - "村里": 38313, - "lesh": 38314, - "▁mounting": 38315, - "面子": 38316, - "npmjs": 38317, - "smith": 38318, - "率的": 38319, - "理论和": 38320, - "中和": 38321, - "就医": 38322, - "▁Municipal": 38323, - "高新": 38324, - "▁Fit": 38325, - "fabric": 38326, - "▁Asset": 38327, - "博弈": 38328, - "▁modulus": 38329, - "很可能": 38330, - "的职业": 38331, - "钢结构": 38332, - "nDiv": 38333, - "▁perimeter": 38334, - "开采": 38335, - "▁sper": 38336, - "堪称": 38337, - "yze": 38338, - "与你": 38339, - "前途": 38340, - "数目": 38341, - "角是": 38342, - "itas": 38343, - "▁flush": 38344, - "应为": 38345, - "行政执法": 38346, - "▁chaos": 38347, - "▁Programs": 38348, - "前列腺": 38349, - "支付令": 38350, - "otides": 38351, - "ccc": 38352, - "inj": 38353, - "nLocal": 38354, - "▁Pseud": 38355, - "▁recombination": 38356, - "▁Mong": 38357, - "eredReader": 38358, - "特意": 38359, - "太多的": 38360, - "▁headache": 38361, - "诉至本院": 38362, - "食品有限公司": 38363, - "▁merger": 38364, - "出品": 38365, - "应聘": 38366, - "时有": 38367, - "▁Videos": 38368, - "▁approve": 38369, - "▁starred": 38370, - "名额": 38371, - "如实供述自己的罪行": 38372, - "底下": 38373, - "▁flap": 38374, - "▁晋江文学城": 38375, - "植株": 38376, - "osphere": 38377, - "velocity": 38378, - "的神": 38379, - "él": 38380, - "觉醒": 38381, - "▁Debug": 38382, - "ān": 38383, - "交通肇事罪": 38384, - "▁alerts": 38385, - "▁pygame": 38386, - "nDemographics": 38387, - "产业化": 38388, - "ulsive": 38389, - "法定代表人李": 38390, - "徐州市": 38391, - "的对象": 38392, - "azor": 38393, - "▁vet": 38394, - "Human": 38395, - "ensure": 38396, - "\\\\\\\\\\": 38397, - "▁snake": 38398, - "▁Motors": 38399, - "▁congreg": 38400, - "▁已知": 38401, - "heads": 38402, - "磷酸": 38403, - "▁rainfall": 38404, - "的自": 38405, - "ées": 38406, - "的文章": 38407, - "▁lept": 38408, - "▁loader": 38409, - "▁atherosclerosis": 38410, - "整洁": 38411, - "ilio": 38412, - "▁boil": 38413, - "▁Latino": 38414, - "ushi": 38415, - "inski": 38416, - "和水": 38417, - "杀死": 38418, - "▁Outdoor": 38419, - "真理": 38420, - "色素": 38421, - "停车位": 38422, - "▁enforce": 38423, - "NL": 38424, - "asta": 38425, - "nell": 38426, - "datas": 38427, - "交点": 38428, - "BIT": 38429, - "▁WiFi": 38430, - "▁fabrics": 38431, - "▁Phillips": 38432, - "哪儿": 38433, - "驳回起诉": 38434, - "▁carbox": 38435, - "▁blessed": 38436, - "▁filmed": 38437, - "好用": 38438, - "就是这样": 38439, - "▁Colors": 38440, - "ndefined": 38441, - "iba": 38442, - "▁pins": 38443, - "▁renewed": 38444, - "月光": 38445, - "你需要": 38446, - "马路": 38447, - "他人的": 38448, - "共青团": 38449, - "的角色": 38450, - "共同举办": 38451, - "▁Parameter": 38452, - "▁Fro": 38453, - "reload": 38454, - "一审被告": 38455, - "裁定适用于": 38456, - "labeled": 38457, - "sel": 38458, - "年月": 38459, - "起义": 38460, - "modern": 38461, - "的个数": 38462, - "▁scala": 38463, - "的重要组成部分": 38464, - "Products": 38465, - "anni": 38466, - "happy": 38467, - "▁lasted": 38468, - "▁indications": 38469, - "▁accessory": 38470, - "▁debuted": 38471, - "▁observational": 38472, - ":'": 38473, - "议员": 38474, - "▁Mik": 38475, - "在向": 38476, - "的内": 38477, - "▁Butter": 38478, - "会儿": 38479, - "ictions": 38480, - "House": 38481, - "在水": 38482, - "性疾病": 38483, - "LowerCase": 38484, - "近年": 38485, - "▁crashes": 38486, - "▁apparatus": 38487, - "但如果": 38488, - "官方网站": 38489, - "狭窄": 38490, - "的成功": 38491, - "ação": 38492, - 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"开盘": 41782, - "请参阅": 41783, - "alia": 41784, - "▁Inventory": 41785, - "▁dissertation": 41786, - "三门": 41787, - "两面": 41788, - "严厉": 41789, - "全球化": 41790, - "▁Bach": 41791, - "ycin": 41792, - "Quick": 41793, - "笔记本电脑": 41794, - "Expect": 41795, - "▁Haven": 41796, - "▁illnesses": 41797, - "▁asymptomatic": 41798, - "头条": 41799, - "看成": 41800, - "orde": 41801, - "东县": 41802, - "▁ideally": 41803, - "他不": 41804, - "▁exceeds": 41805, - "延安": 41806, - "Inner": 41807, - "reports": 41808, - "项目建设": 41809, - "▁Units": 41810, - "readline": 41811, - "▁promotions": 41812, - "以后的": 41813, - "nRet": 41814, - "石家庄市": 41815, - "▁showc": 41816, - "▁polymers": 41817, - "听过": 41818, - "▁ie": 41819, - "▁mammary": 41820, - "zd": 41821, - "室的": 41822, - "捞出": 41823, - "▁revolutionary": 41824, - "各种各样的": 41825, - "ARG": 41826, - "\\'},\\": 41827, - "photos": 41828, - "LIBR": 41829, - "ombie": 41830, - "Tracker": 41831, - "Dispatcher": 41832, - "}）": 41833, - ";": 41894, - "ecal": 41895, - "gf": 41896, - "山河": 41897, - "电解": 41898, - "▁Ye": 41899, - "的安装": 41900, - "类似的": 41901, - "Lang": 41902, - "VELOPM": 41903, - "▁phenotypic": 41904, - "管教": 41905, - "▁sie": 41906, - "▁范": 41907, - "▁lav": 41908, - "▁Bears": 41909, - "提起行政诉讼": 41910, - "October": 41911, - "▁px": 41912, - "污染物": 41913, - "▁slim": 41914, - "▁historians": 41915, - "小事": 41916, - "rug": 41917, - "▁TD": 41918, - "elin": 41919, - "▁Pir": 41920, - "▁Hein": 41921, - "比较高": 41922, - "端点": 41923, - "正方体": 41924, - "被申请执行人": 41925, - "求值": 41926, - "阶层": 41927, - "iente": 41928, - "onne": 41929, - "变态": 41930, - "帝王": 41931, - "真菌": 41932, - "ftp": 41933, - "nstd": 41934, - "▁Firm": 41935, - "OUTPUT": 41936, - "▁litter": 41937, - "▁passport": 41938, - "北京时间": 41939, - "finally": 41940, - "水产": 41941, - "原裁定": 41942, - "icidal": 41943, - "▁guards": 41944, - "loo": 41945, - "inventory": 41946, - "▁Monitoring": 41947, - "预备": 41948, - "▁Rams": 41949, - "以下有期徒刑": 41950, - "▁Territory": 41951, - "年了": 41952, - "aques": 41953, - "条形": 41954, - "为广大": 41955, - "表面的": 41956, - "造就": 41957, - "▁erupt": 41958, - "无处": 41959, - "洁净": 41960, - "tet": 41961, - "▁beside": 41962, - "▁Approved": 41963, - "RB": 41964, - "告知书": 41965, - "▁Wyoming": 41966, - "straction": 41967, - "地利": 41968, - "证号": 41969, - "mapsto": 41970, - "randint": 41971, - "头疼": 41972, - "CTV": 41973, - "InstanceOf": 41974, - "守法": 41975, - "寄生": 41976, - "nMet": 41977, - "计分考核": 41978, - "▁pickup": 41979, - "不一": 41980, - "出轨": 41981, - "▁invoice": 41982, - "nBur": 41983, - "▁prere": 41984, - "ancellation": 41985, - "上手": 41986, - "▁Cand": 41987, - "▁copying": 41988, - "▁Aviation": 41989, - "▁Pressure": 41990, - "▁cher": 41991, - "为民": 41992, - "pac": 41993, - "▁eu": 41994, - "开始执行": 41995, - "▁Cork": 41996, - "tracker": 41997, - "▁irreducible": 41998, - "效力于": 41999, - "▁Rib": 42000, - "valueOf": 42001, - "datasets": 42002, - "▁irrigation": 42003, - "背叛": 42004, - "das": 42005, - "▁EB": 42006, - "旗下的": 42007, - "降临": 42008, - "该公司员工": 42009, - "上半": 42010, - "的女儿": 42011, - "好玩": 42012, - "退款": 42013, - "泉州市": 42014, - "进入到": 42015, - "布尔": 42016, - "▁Pul": 42017, - "▁Bryan": 42018, - "ortheastern": 42019, - "hev": 42020, - "他们是": 42021, - "▁功能": 42022, - "单调递减": 42023, - "▁Shen": 42024, - "更重要的是": 42025, - "▁Located": 42026, - "▁imprison": 42027, - "万家": 42028, - "▁strap": 42029, - "又一": 42030, - "发烧": 42031, - "然后把": 42032, - "专业技术": 42033, - "景色": 42034, - "课时": 42035, - "▁contrace": 42036, - "▁abolished": 42037, - "三项": 42038, - "丰收": 42039, - "富汗": 42040, - "iably": 42041, - "ARCHAR": 42042, - "\"[": 42043, - "翅膀": 42044, - "pkgs": 42045, - "中华人民共和国行政强制法": 42046, - "背光": 42047, - "上海科技大学": 42048, - "▁Adventure": 42049, - "共鸣": 42050, - "▁Plaza": 42051, - "▁Amateur": 42052, - "▁probable": 42053, - "严格的": 42054, - "lion": 42055, - "▁Orthodox": 42056, - "▁Measurement": 42057, - "▁celebrities": 42058, - "▁Assume": 42059, - "▁stretching": 42060, - "▁packets": 42061, - "Bin": 42062, - "▁Attempt": 42063, - "▁Notification": 42064, - "尽力": 42065, - "着他": 42066, - "▁Loop": 42067, - "▁Overview": 42068, - "▁communicating": 42069, - "▁Cav": 42070, - "▁polype": 42071, - "oso": 42072, - "新西兰": 42073, - "recomm": 42074, - "Balance": 42075, - "▁以": 42076, - "彼得": 42077, - "大多数人": 42078, - "▁Critical": 42079, - "复古": 42080, - "征求": 42081, - "了下来": 42082, - "需要在": 42083, - "▁Hod": 42084, - "▁concise": 42085, - "等财产": 42086, - "▁tray": 42087, - "Without": 42088, - "superv": 42089, - "▁culmin": 42090, - "から": 42091, - "统计局": 42092, - "anca": 42093, - "美术学院": 42094, - "▁invoke": 42095, - "▁drilling": 42096, - "就算是": 42097, - "PART": 42098, - "副秘书长": 42099, - "装有": 42100, - "▁baked": 42101, - "▁laying": 42102, - "▁terrace": 42103, - "▁recommends": 42104, - "ansible": 42105, - "▁roofing": 42106, - "也曾": 42107, - "恒大": 42108, - "这首歌": 42109, - "▁Sox": 42110, - "phrase": 42111, - "▁arthro": 42112, - "▁spleen": 42113, - "▁acetate": 42114, - "▁advancement": 42115, - "Learning": 42116, - "▁vitamins": 42117, - "▁therapist": 42118, - "哪家": 42119, - "商量": 42120, - "arettes": 42121, - "ceptors": 42122, - "Ha": 42123, - "红枣": 42124, - "authorization": 42125, - "▁POS": 42126, - "▁neckl": 42127, - "▁eigenvalue": 42128, - "南开": 42129, - "出色的": 42130, - "▁indef": 42131, - "则有": 42132, - "nAD": 42133, - "▁misc": 42134, - "▁Zimbabwe": 42135, - "▁blockade": 42136, - "励志": 42137, - "核准": 42138, - "invoice": 42139, - "▁platelets": 42140, - "杨某某": 42141, - "ancement": 42142, - "▁陆": 42143, - "导出": 42144, - "饰品": 42145, - "▁Prague": 42146, - "▁immunodef": 42147, - "▁divergence": 42148, - "ør": 42149, - "车子": 42150, - "ROW": 42151, - "▁VC": 42152, - "一次方程": 42153, - "三角函数": 42154, - "▁Missing": 42155, - "▁epidemiology": 42156, - "毛巾": 42157, - "▁lipoprotein": 42158, - "▁Designs": 42159, - "▁Operator": 42160, - "▁treasure": 42161, - "ographically": 42162, - "编曲": 42163, - "MES": 42164, - "兼任": 42165, - "awt": 42166, - "申请书": 42167, - "进行比较": 42168, - "▁Amer": 42169, - "并不会": 42170, - "▁Bomb": 42171, - "▁crisp": 42172, - "阳市中级人民法院": 42173, - "早点": 42174, - "\"}}": 42175, - "▁annot": 42176, - "▁closes": 42177, - "fax": 42178, - "▁inconsistent": 42179, - "履行能力": 42180, - "第五十三条": 42181, - "astolic": 42182, - "能耗": 42183, - "年龄的": 42184, - "了呢": 42185, - "宽松": 42186, - "dic": 42187, - "solve": 42188, - "▁discovering": 42189, - "山上": 42190, - "鼓楼": 42191, - "detect": 42192, - "二〇一六年十二月": 42193, - "在那里": 42194, - "Ship": 42195, - "telif": 42196, - "运会": 42197, - "nee": 42198, - "▁GPL": 42199, - "Twitter": 42200, - "EW": 42201, - "首位": 42202, - "基本信息": 42203, - "Foo": 42204, - "▁nurt": 42205, - "▁urge": 42206, - "▁worries": 42207, - "快餐": 42208, - "谈到": 42209, - "Logo": 42210, - "issan": 42211, - "▁robustness": 42212, - "imus": 42213, - "▁tribe": 42214, - "▁nominee": 42215, - "属于自己的": 42216, - "▁lending": 42217, - "nOper": 42218, - "符合法律规定的": 42219, - "▁ListNode": 42220, - "转入": 42221, - "udi": 42222, - "INPUT": 42223, - "▁Ruth": 42224, - "海滩": 42225, - "pmod": 42226, - "把自己的": 42227, - "中东": 42228, - "PLICATION": 42229, - "必将": 42230, - "站的": 42231, - "illar": 42232, - "▁Graphics": 42233, - "置于": 42234, - "议会": 42235, - "▁Jenkins": 42236, - "plicative": 42237, - "▁steroids": 42238, - "TOR": 42239, - "jay": 42240, - "绝句": 42241, - "中国科学院研究生院": 42242, - "环比": 42243, - "▁Julie": 42244, - "▁chord": 42245, - "▁phosphatase": 42246, - "▁Gmina": 42247, - "Forward": 42248, - "凭什么": 42249, - "ENTER": 42250, - "tfunction": 42251, - "REAM": 42252, - "alion": 42253, - "otent": 42254, - "他自己": 42255, - "oxin": 42256, - "▁raid": 42257, - "归属": 42258, - "钱包": 42259, - "assis": 42260, - "表白": 42261, - "代表作": 42262, - "omycin": 42263, - "dictionary": 42264, - "本题的关键": 42265, - "▁bride": 42266, - "▁glands": 42267, - "最高人民法院关于审理": 42268, - "我发现": 42269, - "▁Productions": 42270, - "xz": 42271, - "▁OnInit": 42272, - "▁resolutions": 42273, - "再现": 42274, - "▁你的": 42275, - "▁veins": 42276, - "▁kinases": 42277, - "▁hooks": 42278, - "▁allies": 42279, - "金银": 42280, - "生产力": 42281, - "▁rug": 42282, - "恰恰": 42283, - "有能力": 42284, - "▁Winn": 42285, - "▁Gly": 42286, - "seeing": 42287, - ")_{": 42288, - "shi": 42289, - "idin": 42290, - "▁bending": 42291, - "▁alveolar": 42292, - "进士": 42293, - "})^": 42294, - "enry": 42295, - "▁Adjust": 42296, - "jour": 42297, - "▁brightness": 42298, - "▁questioned": 42299, - "|>": 42300, - "标志着": 42301, - "\":\"\",\"": 42302, - "▁retire": 42303, - "显现": 42304, - "sembling": 42305, - "▁_\\": 42306, - "使之": 42307, - "烟花": 42308, - "了一份": 42309, - "胰岛素": 42310, - "▁Jeffrey": 42311, - "▁isomorphic": 42312, - "▁七": 42313, - "徐某": 42314, - "红尘": 42315, - "绽放": 42316, - "▁pant": 42317, - "▁radicals": 42318, - "▁Southwest": 42319, - "Serialization": 42320, - "这本": 42321, - "Vel": 42322, - "▁calibr": 42323, - "problems": 42324, - "第三个": 42325, - "▁Leo": 42326, - "精通": 42327, - "ovic": 42328, - "▁Dipl": 42329, - "ACCESS": 42330, - "▁dealers": 42331, - "哺乳": 42332, - "阿富汗": 42333, - "minor": 42334, - "▁intestine": 42335, - "▁formations": 42336, - "技法": 42337, - "白发": 42338, - "是怎样的": 42339, - "Apply": 42340, - "usable": 42341, - "学长": 42342, - "—\\": 42343, - "红柿": 42344, - "的可能": 42345, - "运动队": 42346, - "tout": 42347, - "▁Twin": 42348, - "▁Certain": 42349, - "MIC": 42350, - "Bill": 42351, - "▁nap": 42352, - "▁lasts": 42353, - "▁webpage": 42354, - "▁partnered": 42355, - "克隆": 42356, - "拌匀": 42357, - "油腻": 42358, - "GPU": 42359, - "nlogger": 42360, - "创新创业": 42361, - "ighthouse": 42362, - "哭了": 42363, - "▁lub": 42364, - "▁yii": 42365, - "抓获经过": 42366, - "cause": 42367, - "▁lightly": 42368, - "仅为": 42369, - "▁perfor": 42370, - "▁cess": 42371, - "▁Canon": 42372, - "▁endors": 42373, - "▁Investig": 42374, - "管理者": 42375, - "经营的": 42376, - "两份": 42377, - "父母的": 42378, - "▁endocrine": 42379, - "年夜": 42380, - "搬迁": 42381, - "Fun": 42382, - "▁Contr": 42383, - "国学": 42384, - "▁nails": 42385, - "▁initialization": 42386, - "$:": 42387, - "GNU": 42388, - "nProperty": 42389, - "▁DEALINGS": 42390, - "尾巴": 42391, - "宣告缓刑": 42392, - "▁horiz": 42393, - "问答": 42394, - "School": 42395, - "Singleton": 42396, - "不佳": 42397, - "壁纸": 42398, - "外来": 42399, - "acetyl": 42400, - "Currency": 42401, - "及照片": 42402, - "▁wit": 42403, - "opensource": 42404, - "应注意": 42405, - "Alias": 42406, - "▁但是": 42407, - "▁Manit": 42408, - "▁thrive": 42409, - "▁pathophysiology": 42410, - "星辰": 42411, - "触犯": 42412, - "华盛顿": 42413, - "VELOPMENT": 42414, - "合并同类项": 42415, - "ninput": 42416, - "油烟": 42417, - "不限": 42418, - "微型": 42419, - "量大": 42420, - "在面对": 42421, - "▁推荐菜": 42422, - "wat": 42423, - "短视频": 42424, - "董事会": 42425, - "Hyper": 42426, - "并提出": 42427, - "avia": 42428, - "▁oun": 42429, - "▁eukary": 42430, - "▁agonists": 42431, - "▁standings": 42432, - "殴打": 42433, - "流动性": 42434, - "民事权利和": 42435, - "▁Compl": 42436, - "焦作": 42437, - "老师们": 42438, - "射手": 42439, - "即可解答": 42440, - "班长": 42441, - "科教": 42442, - "酸奶": 42443, - "▁melting": 42444, - "▁Romanian": 42445, - "ellites": 42446, - "▁guiding": 42447, - "维尔": 42448, - "悬挂": 42449, - "similar": 42450, - "▁trajectories": 42451, - "▁unsuccessful": 42452, - "桌子": 42453, - "访谈": 42454, - "因原告": 42455, - "开始的": 42456, - "身份信息": 42457, - "▁stairs": 42458, - 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"工程的": 43929, - "▁Discord": 43930, - "传染病": 43931, - "内分泌": 43932, - "广泛应用于": 43933, - "▁Topic": 43934, - "分娩": 43935, - "ncl": 43936, - "nCRE": 43937, - "▁marry": 43938, - "openapi": 43939, - "neapolis": 43940, - "funded": 43941, - "gitcommit": 43942, - "▁ра": 43943, - "▁adjuvant": 43944, - "▁translocation": 43945, - "Friday": 43946, - "▁cakes": 43947, - "▁helm": 43948, - "▁sqlite": 43949, - "▁squamous": 43950, - "angled": 43951, - "▁Vladimir": 43952, - "▁qualifications": 43953, - "量和": 43954, - "olan": 43955, - "▁Apps": 43956, - "南非": 43957, - "▁浙江": 43958, - "入党": 43959, - "听见": 43960, - "等信息": 43961, - "羽毛球": 43962, - "warf": 43963, - "Processing": 43964, - "台词": 43965, - "不低于": 43966, - "对我们": 43967, - "▁Dent": 43968, - "Filters": 43969, - "监区": 43970, - "土地承包": 43971, - "城县人民法院": 43972, - "######\\": 43973, - "▁Traffic": 43974, - "▁chromosomal": 43975, - "▁Rush": 43976, - "▁Million": 43977, - "▁prenatal": 43978, - "杨柳": 43979, - "▁acclaimed": 43980, - "高一": 43981, - "从一个": 43982, - 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"▁chor": 44036, - "pretty": 44037, - "▁knees": 44038, - "▁versa": 44039, - "nEarlier": 44040, - "TRIBUTORS": 44041, - "nWeek": 44042, - "▁angiography": 44043, - "▁\">": 44044, - "有自己的": 44045, - "法律依据": 44046, - "资格考试": 44047, - "软件开发": 44048, - "▁Sheet": 44049, - "▁fungi": 44050, - "verages": 44051, - "▁detectors": 44052, - "欢喜": 44053, - "潇湘": 44054, - "hee": 44055, - "驾驶的": 44056, - "自然科学基金": 44057, - "谈谈": 44058, - "非凡": 44059, - "▁TLR": 44060, - "▁Kiss": 44061, - "▁Pearl": 44062, - "nstring": 44063, - "▁unsafe": 44064, - "cobacter": 44065, - "▁Philippine": 44066, - "▁grandmother": 44067, - "疲惫": 44068, - "这里是": 44069, - "igroup": 44070, - "施行": 44071, - "越是": 44072, - "不断提升": 44073, - "▁ceil": 44074, - "otives": 44075, - "pq": 44076, - "引人": 44077, - "STER": 44078, - "tails": 44079, - "uliar": 44080, - "▁bitter": 44081, - "▁Syndrome": 44082, - "统战": 44083, - "▁SUV": 44084, - "ntrans": 44085, - "▁Tommy": 44086, - "onuclear": 44087, - "下行": 44088, - "多月": 44089, - "收纳": 44090, - "木兰": 44091, - 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"▁贾": 44147, - "克的": 44148, - "秦皇": 44149, - "▁LT": 44150, - "生产和": 44151, - "国际贸易": 44152, - "你这": 44153, - "/((": 44154, - "留下了": 44155, - "市场需求": 44156, - "groupId": 44157, - "平淡": 44158, - "uples": 44159, - "▁bins": 44160, - "▁cath": 44161, - "▁scrub": 44162, - "单纯的": 44163, - "bands": 44164, - "▁Maced": 44165, - "改正": 44166, - "植入": 44167, - "▁demanded": 44168, - "▁Wend": 44169, - "Utility": 44170, - "▁interchange": 44171, - "Comb": 44172, - "ONLINE": 44173, - "alamic": 44174, - "selenium": 44175, - "▁horrible": 44176, - "好听": 44177, - "经纬": 44178, - "冲刺": 44179, - "发达国家": 44180, - "▁chunks": 44181, - "restrial": 44182, - "▁escaped": 44183, - "Talk": 44184, - "ptime": 44185, - "nWater": 44186, - "▁Ticket": 44187, - "▁DOM": 44188, - "说自己": 44189, - "nOkay": 44190, - "台式": 44191, - "建构": 44192, - "▁内容": 44193, - "▁Cars": 44194, - "▁Manuel": 44195, - "▁Previously": 44196, - "尿酸": 44197, - "LIN": 44198, - "▁cli": 44199, - "▁angiotensin": 44200, - "血样": 44201, - "atos": 44202, - "▁Serbian": 44203, - "航母": 44204, - "pem": 44205, - "确定了": 44206, - "▁Nazi": 44207, - "ergarten": 44208, - "▁transporter": 44209, - "细心": 44210, - "Received": 44211, - "▁presently": 44212, - "▁ambassador": 44213, - "再加": 44214, - "▁macOS": 44215, - "▁fasting": 44216, - "协定": 44217, - "嵌入式": 44218, - "▁aboard": 44219, - "CreateModel": 44220, - "▁德": 44221, - "斯塔": 44222, - "突出的": 44223, - "Cannot": 44224, - "▁abbrev": 44225, - "released": 44226, - "▁Correct": 44227, - "▁Failure": 44228, - "▁carcinomas": 44229, - "▁wt": 44230, - "imits": 44231, - "指甲": 44232, - "MSG": 44233, - "快速的": 44234, - "外出务工": 44235, - "▁varchar": 44236, - "函数的单调性": 44237, - "▁Decision": 44238, - "▁citizenship": 44239, - "IFY": 44240, - "pix": 44241, - "▁DD": 44242, - "整体的": 44243, - "要从": 44244, - "nEND": 44245, - "plastic": 44246, - "▁wardrobe": 44247, - "过来的": 44248, - "shall": 44249, - "colour": 44250, - "申请执行人可以": 44251, - "instances": 44252, - "QS": 44253, - "之情": 44254, - "商是": 44255, - "将被": 44256, - "▁Cod": 44257, - "管理制度": 44258, - 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"精湛": 45642, - "维奇": 45643, - "▁mont": 45644, - "▁钟": 45645, - "抵制": 45646, - "zzle": 45647, - "▁Detailed": 45648, - "深厚": 45649, - "▁ADHD": 45650, - "▁Pair": 45651, - "olecule": 45652, - "▁exempt": 45653, - "砂糖": 45654, - "没那么": 45655, - "tfrac": 45656, - "▁overlooking": 45657, - "万像素": 45658, - "excel": 45659, - "aterials": 45660, - "▁SSH": 45661, - "()){\\": 45662, - "▁expr": 45663, - "▁Strip": 45664, - "Digital": 45665, - "▁countryside": 45666, - "NONE": 45667, - "▁Whats": 45668, - "LDL": 45669, - "精彩的": 45670, - "行政村": 45671, - "中日": 45672, - "cia": 45673, - "▁Liv": 45674, - "▁shooter": 45675, - "▁interrupt": 45676, - "右下": 45677, - "AME": 45678, - "看不见": 45679, - "yers": 45680, - "▁Robot": 45681, - "▁recovering": 45682, - "▁把": 45683, - "你是否": 45684, - "tti": 45685, - "nCharles": 45686, - "▁convinc": 45687, - "nObjective": 45688, - "▁关于": 45689, - "不成立": 45690, - "的网络小说": 45691, - "noutput": 45692, - "▁trache": 45693, - "成正": 45694, - "▁Fest": 45695, - "Checked": 45696, - "▁arrhythm": 45697, - 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"Polygon": 48472, - "eteenth": 48473, - "日向本院提出申请": 48474, - "赶到": 48475, - "节点的": 48476, - "▁UAE": 48477, - "▁messy": 48478, - "厨师": 48479, - "同仁": 48480, - "学院的": 48481, - "工商局": 48482, - "软硬件": 48483, - "安全管理": 48484, - "▁immunoglobulin": 48485, - "单品": 48486, - "arde": 48487, - "▁heel": 48488, - "nAsian": 48489, - "▁tributary": 48490, - "▁BUS": 48491, - "nTags": 48492, - "▁dumb": 48493, - "自诉": 48494, - "精神和": 48495, - "个体工商户": 48496, - "▁hourly": 48497, - "Utilities": 48498, - "看我": 48499, - "Cop": 48500, - "就算了": 48501, - "金华市": 48502, - "skill": 48503, - "Pressed": 48504, - "▁layered": 48505, - "▁accumulate": 48506, - "的超": 48507, - "纠错": 48508, - "nAnal": 48509, - "▁flesh": 48510, - "▁Speech": 48511, - "主料": 48512, - "efe": 48513, - "hg": 48514, - "民字第": 48515, - "▁debates": 48516, - "▁Inspector": 48517, - "打磨": 48518, - "元减半收取": 48519, - "▁Monster": 48520, - "四人": 48521, - "闹钟": 48522, - "过滤器": 48523, - "写在": 48524, - "所有人都": 48525, - "ITHUB": 48526, - "▁dick": 48527, - "February": 48528, - 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"daemon": 49090, - "战绩": 49091, - "▁Gender": 49092, - "▁Slovenia": 49093, - "原地": 49094, - "创新型": 49095, - "由已知": 49096, - "hbar": 49097, - "rfloor": 49098, - "▁Memphis": 49099, - "▁attained": 49100, - "微波炉": 49101, - ">',\\": 49102, - "esty": 49103, - "▁Rhe": 49104, - "▁Away": 49105, - "节课": 49106, - "马里": 49107, - "和完善": 49108, - "nParticip": 49109, - "▁observers": 49110, - "arb": 49111, - "你现在": 49112, - "注射液": 49113, - "▁Neo": 49114, - "cleanup": 49115, - "▁Canvas": 49116, - "▁Exhibition": 49117, - "▁hypertrophy": 49118, - "求法": 49119, - "▁Cycle": 49120, - "▁opted": 49121, - "属于中档题": 49122, - "▁marsh": 49123, - "▁forecasting": 49124, - "主义者": 49125, - "的整体": 49126, - "nMary": 49127, - "▁hardest": 49128, - "▁ecosystems": 49129, - "年终": 49130, - "rax": 49131, - "命令行": 49132, - "▁Dawn": 49133, - "\":[],\"": 49134, - "▁Routes": 49135, - "浑身": 49136, - "▁Sau": 49137, - "▁Swe": 49138, - "野生动物": 49139, - "ceans": 49140, - "ensed": 49141, - "划拨被执行人": 49142, - "▁commence": 49143, - "差分": 49144, - "▁об": 49145, - "不忘初心": 49146, - "Manifest": 49147, - "棕色": 49148, - "双人间": 49149, - "CASE": 49150, - "▁Cul": 49151, - "▁vow": 49152, - "▁catar": 49153, - "strained": 49154, - "repreneur": 49155, - "▁typename": 49156, - "▁displaced": 49157, - "agrangian": 49158, - "nOriginal": 49159, - "金的": 49160, - "元素的": 49161, - "公安部": 49162, - "包含一个": 49163, - "▁Ellen": 49164, - "▁garner": 49165, - "有效期": 49166, - "▁carn": 49167, - "▁autoc": 49168, - "▁primer": 49169, - "Kg": 49170, - "几句": 49171, - "▁KeyError": 49172, - "变现": 49173, - "庞大": 49174, - "给被告": 49175, - "▁beers": 49176, - "▁detox": 49177, - "▁StringBuilder": 49178, - "▁NSA": 49179, - "Motor": 49180, - "embedded": 49181, - "proportion": 49182, - "间断": 49183, - "作出裁定": 49184, - "本身就是": 49185, - "血液循环": 49186, - "executable": 49187, - "领先的": 49188, - "apro": 49189, - "Magic": 49190, - "▁scanf": 49191, - "▁locksmith": 49192, - "▁registering": 49193, - "jd": 49194, - "上部": 49195, - "真情": 49196, - "Sleep": 49197, - "▁multis": 49198, - "▁chopped": 49199, - 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"大庆": 51665, - "的学校": 51666, - "▁Hull": 51667, - "Principal": 51668, - "▁Vietnamese": 51669, - "希尔": 51670, - "▁VIII": 51671, - "航线": 51672, - "证明材料": 51673, - "inker": 51674, - "根据题意得": 51675, - "nChildren": 51676, - "▁junctions": 51677, - "▁Salmonella": 51678, - "浓浓": 51679, - "高尚": 51680, - "▁Pig": 51681, - "weekly": 51682, - "每分钟": 51683, - "运行的": 51684, - "▁fauc": 51685, - "▁Gloucester": 51686, - "▁Subsequently": 51687, - "立功": 51688, - "怎么了": 51689, - "▁stip": 51690, - "丢了": 51691, - "分量": 51692, - "古籍": 51693, - "换届": 51694, - "的回答": 51695, - "组委会": 51696, - "PROC": 51697, - "nOverview": 51698, - "_\"": 51699, - "qli": 51700, - "你应该": 51701, - "创建于": 51702, - "tlocal": 51703, - "▁amput": 51704, - "otherapeutic": 51705, - "字幕": 51706, - "篮板": 51707, - "holst": 51708, - "假装": 51709, - "开除": 51710, - "掩盖": 51711, - "FRA": 51712, - "世界大战": 51713, - "coated": 51714, - "theory": 51715, - "Horizontal": 51716, - "▁textbooks": 51717, - "二十一": 51718, - "acha": 51719, - "菠菜": 51720, - "说要": 51721, - "小时的": 51722, - "women": 51723, - "▁toast": 51724, - "全景": 51725, - "地基": 51726, - "的老师": 51727, - "iban": 51728, - "▁MPI": 51729, - "▁antitumor": 51730, - "▁guideline": 51731, - "▁coagulation": 51732, - ",[": 51733, - "KF": 51734, - "一直到": 51735, - "▁complained": 51736, - "中标": 51737, - "增大而": 51738, - "总觉得": 51739, - "淡淡的": 51740, - "真的好": 51741, - "二审上诉人": 51742, - "▁assort": 51743, - "烦躁": 51744, - "Proc": 51745, - "平方千米": 51746, - "frontal": 51747, - "公有": 51748, - "细细": 51749, - "莱坞": 51750, - "正弦定理": 51751, - "认罪态度": 51752, - "graphic": 51753, - "▁peanut": 51754, - "▁credibility": 51755, - "预言": 51756, - "▁SG": 51757, - "发挥了": 51758, - "▁pes": 51759, - "usuario": 51760, - "二〇一六年十一": 51761, - "nmanager": 51762, - "▁Spectrum": 51763, - "吃什么": 51764, - "烟台市": 51765, - "▁Dil": 51766, - "▁Heather": 51767, - "填补": 51768, - "kick": 51769, - "▁Coordinator": 51770, - "夺得": 51771, - "德镇": 51772, - "永安": 51773, - "sus": 51774, - "干细胞": 51775, - "管理与": 51776, - "▁{})\\": 51777, - "ashire": 51778, - "alsa": 51779, - "rxjs": 51780, - "mur": 51781, - "▁DEL": 51782, - "▁Roth": 51783, - "▁silicone": 51784, - "▁minorities": 51785, - "一般为": 51786, - "▁albeit": 51787, - "Extractor": 51788, - "冰冰": 51789, - "港区": 51790, - "基础的": 51791, - "卫生健康": 51792, - "ascar": 51793, - "▁Grab": 51794, - "▁concaten": 51795, - "▁elevator": 51796, - "▁noexcept": 51797, - "枯燥": 51798, - "rael": 51799, - "几乎没有": 51800, - "注销信息": 51801, - "齐齐哈尔": 51802, - "▁Transl": 51803, - "▁ineffective": 51804, - "上调": 51805, - "不可或缺": 51806, - "()):\\": 51807, - "▁clan": 51808, - "::~": 51809, - "人均耕地": 51810, - "▁Authent": 51811, - "Threshold": 51812, - "▁affection": 51813, - "念头": 51814, - "瘦肉": 51815, - "bab": 51816, - "wagen": 51817, - "▁Rolling": 51818, - "安利": 51819, - "抗拒": 51820, - "Jim": 51821, - "有理数": 51822, - "克里": 51823, - "页无": 51824, - "在一次": 51825, - "Clone": 51826, - "▁fills": 51827, - "西装": 51828, - "TEM": 51829, - "将面临": 51830, - "nWORK": 51831, - "▁anne": 51832, - "▁arXiv": 51833, - "▁openly": 51834, - "▁squash": 51835, - "第五百一十九条": 51836, - "RX": 51837, - "tF": 51838, - "带到": 51839, - "渐进": 51840, - "空的": 51841, - "第七十三": 51842, - "▁gonad": 51843, - "checker": 51844, - "▁reminis": 51845, - "煤气": 51846, - "实力的": 51847, - "▁pam": 51848, - "▁SPECIAL": 51849, - "▁Selected": 51850, - "最高人民法院关于办理减刑": 51851, - "▁Sev": 51852, - "nThink": 51853, - "词条注销信息": 51854, - "utation": 51855, - "Mn": 51856, - "都觉得": 51857, - "工程专业": 51858, - "elsius": 51859, - "tH": 51860, - "▁首": 51861, - "双击": 51862, - "▁AES": 51863, - "▁CAL": 51864, - "▁Laur": 51865, - "▁nour": 51866, - "travel": 51867, - "教务": 51868, - "也没什么": 51869, - "▁leuc": 51870, - "应及时": 51871, - "的房子": 51872, - "▁absc": 51873, - "▁blessing": 51874, - "▁lifespan": 51875, - "xm": 51876, - "SDN": 51877, - "邯郸市": 51878, - "▁HAS": 51879, - "考前": 51880, - "▁DAY": 51881, - "这件事情": 51882, - "OAuth": 51883, - "▁arsen": 51884, - "crafted": 51885, - "▁programmers": 51886, - "每种": 51887, - "管理学": 51888, - "不可避免": 51889, - "▁rumors": 51890, - "凝胶": 51891, - "arna": 51892, - "被执行人名下": 51893, - "▁Gaming": 51894, - "▁vinegar": 51895, - "nPresident": 51896, - "▁histogram": 51897, - "两个数": 51898, - "你就是": 51899, - "刑期执行至": 51900, - "▁expire": 51901, - "▁Charter": 51902, - "▁hopeful": 51903, - "八个": 51904, - "的合理": 51905, - "的形象": 51906, - "▁IgE": 51907, - "narray": 51908, - "▁Verify": 51909, - "▁alters": 51910, - "方正": 51911, - "点为": 51912, - "PCA": 51913, - "应该如何": 51914, - "▁promoters": 51915, - "看了一": 51916, - "▁Belle": 51917, - "▁postpon": 51918, - "▁evidenced": 51919, - "vu": 51920, - "arton": 51921, - "▁Manila": 51922, - "▁creatinine": 51923, - "就拿": 51924, - "在世界": 51925, - "▁obscure": 51926, - "DV": 51927, - "一曲": 51928, - "且不": 51929, - "▁RNAs": 51930, - "marked": 51931, - "进货": 51932, - "的未来": 51933, - "数据中心": 51934, - "病房": 51935, - "轻薄": 51936, - "IDI": 51937, - "Such": 51938, - "nlibrary": 51939, - "▁tetr": 51940, - "▁Nicole": 51941, - "▁notions": 51942, - "一朝": 51943, - "基建": 51944, - "好感": 51945, - "玩家的": 51946, - "grown": 51947, - "▁emphasizes": 51948, - "大体": 51949, - "\"/\"": 51950, - "/\",": 51951, - "▁feminist": 51952, - "▁Cyt": 51953, - "公共交通": 51954, - "France": 51955, - "▁Croatian": 51956, - "▁encouragement": 51957, - "展厅": 51958, - "装机": 51959, - "林业局": 51960, - "());": 51961, - "党建工作": 51962, - "持股": 51963, - "提炼": 51964, - "是世界": 51965, - "大部分人": 51966, - "Guide": 51967, - "▁OAuth": 51968, - "▁Solomon": 51969, - "▁encoder": 51970, - "乖乖": 51971, - "标杆": 51972, - "留守": 51973, - "预案": 51974, - "tadd": 51975, - "Trait": 51976, - "▁Unix": 51977, - "▁Hidden": 51978, - "▁Slovakia": 51979, - "自适应": 51980, - "将自己的": 51981, - "▁产品类型": 51982, - "▁Surve": 51983, - "▁Tables": 51984, - "▁genuinely": 51985, - "▁superconduct": 51986, - "一见": 51987, - "圣母": 51988, - "不少人": 51989, - "如今的": 51990, - "▁\",\"": 51991, - "trivial": 51992, - "▁meanwhile": 51993, - "二手车": 51994, - "Iiw": 51995, - "▁\",\\": 51996, - "党风廉政": 51997, - "▁Kingston": 51998, - "▁seamlessly": 51999, - "用工": 52000, - "迪士尼": 52001, - "▁shred": 52002, - "linkedin": 52003, - "以上资料仅供参考": 52004, - "申请人于": 52005, - "百度小说": 52006, - "▁公司性质": 52007, - "▁snail": 52008, - "▁percutaneous": 52009, - "光绪": 52010, - "能用": 52011, - "那一刻": 52012, - "▁lasers": 52013, - "金陵": 52014, - "tone": 52015, - "具体情况还请": 52016, - "▁directional": 52017, - "化了": 52018, - "复旦大学": 52019, - "WINDO": 52020, - "Started": 52021, - "儿科": 52022, - "班车": 52023, - "rar": 52024, - "元左右": 52025, - "▁NATO": 52026, - "ún": 52027, - "没用": 52028, - "中国国际": 52029, - "Games": 52030, - "Picture": 52031, - "nProject": 52032, - "具体情况还请咨询医生": 52033, - "▁薛": 52034, - "反感": 52035, - "向北": 52036, - "catal": 52037, - "exican": 52038, - "▁Marks": 52039, - "▁Vintage": 52040, - "▁amplified": 52041, - "▁paperwork": 52042, - "第十二章": 52043, - "▁orch": 52044, - "nEmail": 52045, - "▁elbow": 52046, - "贷款基准利率": 52047, - "爆破": 52048, - "红薯": 52049, - "dow": 52050, - "变速箱": 52051, - "timed": 52052, - "▁Rosa": 52053, - "confidence": 52054, - "汉堡": 52055, - "oho": 52056, - "也是有": 52057, - "▁erect": 52058, - "Sources": 52059, - "▁Widget": 52060, - "▁refractive": 52061, - "台州": 52062, - "回味": 52063, - "▁Pipe": 52064, - "▁fellows": 52065, - "Organization": 52066, - "▁Um": 52067, - "▁imperfect": 52068, - "▁succession": 52069, - "▁Fo": 52070, - "南通市": 52071, - "▁Seems": 52072, - "▁disks": 52073, - "culture": 52074, - "▁glomerular": 52075, - "RJ": 52076, - "讲授": 52077, - "经常会": 52078, - "inkles": 52079, - "筛查": 52080, - "谈论": 52081, - "▁más": 52082, - "▁Kang": 52083, - "▁nore": 52084, - "Overlay": 52085, - "▁allocate": 52086, - "accessible": 52087, - "Zn": 52088, - "票价": 52089, - "ugh": 52090, - "Proto": 52091, - "▁汤": 52092, - "不光": 52093, - "▁tram": 52094, - "frag": 52095, - "▁Polynomial": 52096, - "▁pesticides": 52097, - "的风格": 52098, - "▁IPv": 52099, - "▁Laws": 52100, - "▁libert": 52101, - "▁creations": 52102, - "参与者": 52103, - "对学生": 52104, - "▁Bike": 52105, - "▁Sally": 52106, - "▁Darwin": 52107, - "▁RBI": 52108, - "ostruct": 52109, - "▁Anglican": 52110, - "文库": 52111, - "离去": 52112, - "的良好": 52113, - "在自己的": 52114, - "每一个人": 52115, - "almost": 52116, - "▁Acute": 52117, - "▁Perform": 52118, - "滋事": 52119, - "etur": 52120, - "▁AAA": 52121, - "景点的距离": 52122, - "▁mainland": 52123, - "三家": 52124, - "新房": 52125, - "离谱": 52126, - "较轻": 52127, - "对我来说": 52128, - "builds": 52129, - "▁Merit": 52130, - "circuit": 52131, - "tlogger": 52132, - "vetica": 52133, - "号行政处罚决定书": 52134, - "就别": 52135, - "本赛季": 52136, - "赵某某": 52137, - "veal": 52138, - "asone": 52139, - "▁Monthly": 52140, - "▁Paradise": 52141, - "▁affective": 52142, - "Rx": 52143, - "复读": 52144, - "评比": 52145, - "▁Zag": 52146, - "ilogy": 52147, - "景点的距离如下": 52148, - "安宁": 52149, - "datab": 52150, - "▁DEBUG": 52151, - "拥有移动电话": 52152, - "▁Albany": 52153, - "▁Solving": 52154, - "▁averages": 52155, - "▁国际": 52156, - "多样的": 52157, - "▁Worker": 52158, - "▁professionalism": 52159, - "KV": 52160, - "opies": 52161, - "othesis": 52162, - "▁stickers": 52163, - "草本": 52164, - "链条": 52165, - "Styled": 52166, - "▁sandy": 52167, - "▁spicy": 52168, - 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"edged": 52732, - "上诉于山东省": 52733, - "建设工程施工": 52734, - "▁outfits": 52735, - "MSC": 52736, - "分析与": 52737, - "已完成": 52738, - "nEvents": 52739, - "ontally": 52740, - "▁palate": 52741, - "▁tensile": 52742, - "engineering": 52743, - "nPopulation": 52744, - "在下": 52745, - "水域": 52746, - "海量": 52747, - "锦绣": 52748, - "价格的": 52749, - "高度的": 52750, - "ière": 52751, - "▁JOIN": 52752, - "互为相反数": 52753, - "outfile": 52754, - "▁christ": 52755, - "晶晶": 52756, - "▁其六": 52757, - "后来的": 52758, - "▁Bottom": 52759, - "▁Santos": 52760, - "个子": 52761, - "nHealth": 52762, - "▁extracting": 52763, - "果树": 52764, - "构成的": 52765, - "▁Pie": 52766, - "idium": 52767, - "▁Stick": 52768, - "▁ruins": 52769, - "▁Strept": 52770, - "内膜": 52771, - "本章": 52772, - "▁`$": 52773, - "ynes": 52774, - "▁lan": 52775, - "▁astro": 52776, - "张文": 52777, - "\">{": 52778, - "isher": 52779, - "▁Notre": 52780, - ">{{": 52781, - "▁tm": 52782, - "妈妈的": 52783, - "nLess": 52784, - "▁fluoride": 52785, - "▁conceived": 52786, - "▁Replacement": 52787, - 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"教学模式": 53013, - "▁Particle": 53014, - "皱纹": 53015, - "upo": 53016, - "爱国主义": 53017, - "或不": 53018, - "▁runway": 53019, - "Clinical": 53020, - "ServiceProvider": 53021, - "errno": 53022, - "actice": 53023, - "▁Depot": 53024, - "▁wavelengths": 53025, - "▁interpretations": 53026, - "便民": 53027, - "奇妙": 53028, - "改制": 53029, - "患者在": 53030, - "▁leaked": 53031, - "▁ancestors": 53032, - "▁Serializable": 53033, - "deen": 53034, - "▁Ordered": 53035, - "RN": 53036, - "兵器": 53037, - "ego": 53038, - "Icons": 53039, - "eenth": 53040, - "trunc": 53041, - "certificate": 53042, - "▁coordinating": 53043, - "胆囊": 53044, - "可以先": 53045, - "的业务": 53046, - "计算公式": 53047, - "▁nome": 53048, - "county": 53049, - "▁Screens": 53050, - "渤海": 53051, - "结肠": 53052, - "对你的": 53053, - "海淀区": 53054, - "▁brutal": 53055, - "▁Topology": 53056, - "气泡": 53057, - "知情": 53058, - "借款人民币": 53059, - "太好": 53060, - "自负": 53061, - "表现的": 53062, - "体系建设": 53063, - "RH": 53064, - "ulk": 53065, - "nChina": 53066, - "nWorking": 53067, - "▁enlight": 53068, - "史料": 53069, - "抗诉": 53070, - "画风": 53071, - "其次是": 53072, - "rogens": 53073, - "Pending": 53074, - "▁hydroxy": 53075, - "所给": 53076, - "新月": 53077, - "缤纷": 53078, - "黑客": 53079, - "第二步": 53080, - "noop": 53081, - "▁multil": 53082, - "▁limestone": 53083, - "▁collectors": 53084, - "▁hemodynamic": 53085, - "▁谭": 53086, - "开会": 53087, - ">(\"": 53088, - "▁mc": 53089, - "大辞典": 53090, - "essing": 53091, - "所选定的客房": 53092, - "holding": 53093, - "iatrics": 53094, - "DY": 53095, - "不可思议": 53096, - "中国社会": 53097, - "▁doubts": 53098, - "购车": 53099, - "博士生导师": 53100, - "nRadio": 53101, - "ntable": 53102, - "▁unexpl": 53103, - "rimental": 53104, - "▁sidebar": 53105, - "portfolio": 53106, - "▁Malaysian": 53107, - "耦合": 53108, - "还说": 53109, - "法律允许": 53110, - "▁stall": 53111, - "nNatural": 53112, - "▁expires": 53113, - "jam": 53114, - "地进行": 53115, - "教研室": 53116, - "危害程度": 53117, - "▁Budd": 53118, - "▁remix": 53119, - "单击": 53120, - "第六节": 53121, - "网站上": 53122, - "▁Aer": 53123, - "▁violated": 53124, - "浮云": 53125, - "▁Fischer": 53126, - "随笔": 53127, - "▁Cir": 53128, - "新闻出版": 53129, - "adapt": 53130, - "▁Slow": 53131, - "▁abused": 53132, - "房管": 53133, - "糊涂": 53134, - "原审判决": 53135, - "▁Charleston": 53136, - "▁fundamentally": 53137, - "平日": 53138, - "霸道": 53139, - "有其他": 53140, - "shaw": 53141, - "▁Sebastian": 53142, - "▁overwhelmed": 53143, - "▁politically": 53144, - "曾因": 53145, - "淇淋": 53146, - "较快": 53147, - "auses": 53148, - "pickle": 53149, - "▁gospel": 53150, - "▁Midwest": 53151, - "文笔": 53152, - "odil": 53153, - "▁Bea": 53154, - "▁Devices": 53155, - "在社会": 53156, - "▁Syr": 53157, - "▁bib": 53158, - "二审被上诉人": 53159, - "化工有限公司": 53160, - "▁Samples": 53161, - "▁supposedly": 53162, - "▁و": 53163, - "▁👍": 53164, - "了啊": 53165, - "孕育": 53166, - "那段": 53167, - "▁WP": 53168, - "都无法": 53169, - "_[": 53170, - "惠州": 53171, - "▁Sap": 53172, - "▁Devil": 53173, - "COMMAND": 53174, - "二〇一六年十二": 53175, - "Mid": 53176, - "好像是": 53177, - "服务员": 53178, - "urai": 53179, - "农村合作": 53180, - "shield": 53181, - "▁greens": 53182, - "招收": 53183, - "▁IX": 53184, - "数据范围": 53185, - "▁jupyter": 53186, - "▁superoxide": 53187, - "ück": 53188, - "▁文章": 53189, - "▁Frankfurt": 53190, - "虚构": 53191, - "▁人物生平": 53192, - "▁Serie": 53193, - "▁Confirm": 53194, - "▁intricate": 53195, - "▁microorganisms": 53196, - "健脾": 53197, - "惠普": 53198, - "麻痹": 53199, - "病人的": 53200, - "nSET": 53201, - "▁ROM": 53202, - "BLOCK": 53203, - "▁furnace": 53204, - "operators": 53205, - "▁Recommend": 53206, - "▁HU": 53207, - "注意的是": 53208, - "表现在": 53209, - "▁hij": 53210, - "ndarray": 53211, - "二〇一六年六月": 53212, - "nComplete": 53213, - "▁Cardinal": 53214, - "▁settling": 53215, - "▁ah": 53216, - "世纪的": 53217, - "功能性": 53218, - "utsche": 53219, - "stackrel": 53220, - "▁halfway": 53221, - "西斯": 53222, - "▁Intr": 53223, - "由于被执行人": 53224, - "请求判令被告": 53225, - "hardware": 53226, - "▁caching": 53227, - "审视": 53228, - "火烧": 53229, - "}{|": 53230, - "科学记数法的表示": 53231, - "第一百七十条第一款第": 53232, - "℃\\": 53233, - "元未": 53234, - "谁知道": 53235, - "spectrum": 53236, - "▁compost": 53237, - "▁celebrates": 53238, - "▁lieutenant": 53239, - "nWH": 53240, - "▁barr": 53241, - "法律的规定": 53242, - "expanded": 53243, - "一碗": 53244, - "效能": 53245, - "jah": 53246, - "对他们": 53247, - "截至目前": 53248, - "▁Goals": 53249, - "▁miniature": 53250, - "增幅": 53251, - "族的": 53252, - "皮带": 53253, - "内容和": 53254, - "攀枝花": 53255, - "orget": 53256, - "▁Piano": 53257, - "▁orphan": 53258, - "▁vacant": 53259, - "▁moderator": 53260, - "出任": 53261, - "投递": 53262, - "胃癌": 53263, - "重伤": 53264, - "\"\">\\": 53265, - "为空": 53266, - "与他人": 53267, - "理解的": 53268, - "assa": 53269, - "卫星频道": 53270, - "文化交流": 53271, - "pless": 53272, - "▁Lyon": 53273, - "JK": 53274, - "听课": 53275, - "▁现代": 53276, - "余弦定理": 53277, - "抗日战争": 53278, - "▁pills": 53279, - "日公开开庭审理了本案": 53280, - "三份": 53281, - "目录下": 53282, - "送达地址": 53283, - "WRITE": 53284, - "nDigital": 53285, - "▁commute": 53286, - "上图": 53287, - "之大": 53288, - "总队": 53289, - "ritz": 53290, - "▁Vine": 53291, - "▁Doors": 53292, - "上列": 53293, - "▁IU": 53294, - "stitu": 53295, - "建材有限公司": 53296, - "istency": 53297, - "▁尹": 53298, - "学好": 53299, - "重来": 53300, - "Bur": 53301, - "xFF": 53302, - "和朋友": 53303, - "▁Meth": 53304, - "editary": 53305, - "▁fibres": 53306, - "Tc": 53307, - "京津": 53308, - "累累": 53309, - "▁Env": 53310, - "三个方面": 53311, - "▁Goal": 53312, - "ertext": 53313, - "▁fused": 53314, - "recognized": 53315, - "前世": 53316, - "高素质": 53317, - "tpass": 53318, - "▁outrage": 53319, - "▁Producer": 53320, - "制止": 53321, - "高通": 53322, - "而言之": 53323, - "npermalink": 53324, - "不作": 53325, - "居室": 53326, - "汉服": 53327, - "▁Mats": 53328, - "▁Explain": 53329, - "▁Predict": 53330, - "nabstract": 53331, - "连环": 53332, - "医护人员": 53333, - "▁Dana": 53334, - "Encode": 53335, - "Published": 53336, - "▁thermodynamic": 53337, - "▁Å": 53338, - "摧毁": 53339, - "收音": 53340, - "盖上": 53341, - "adores": 53342, - "第二百四十二": 53343, - "▁filepath": 53344, - "▁immature": 53345, - "侵蚀": 53346, - "专业人士": 53347, - "▁werden": 53348, - "shake": 53349, - "▁Gamma": 53350, - "▁forex": 53351, - "▁decays": 53352, - "▁refres": 53353, - "▁Winnipeg": 53354, - "立志": 53355, - "宝贵的": 53356, - "由上诉人": 53357, - "的主要原因": 53358, - "▁conda": 53359, - "▁tribal": 53360, - "小巧": 53361, - "收视": 53362, - "高楼": 53363, - "▁tribes": 53364, - "▁arguably": 53365, - "Sdk": 53366, - "cyt": 53367, - "orno": 53368, - "▁Dro": 53369, - "Codec": 53370, - "二〇一七年十一": 53371, - "▁Feedback": 53372, - ">]": 53373, - "东坡": 53374, - "向社会": 53375, - "nnum": 53376, - "▁antif": 53377, - "▁cyclo": 53378, - "在服刑期间的": 53379, - "nSample": 53380, - "▁prosecutors": 53381, - "一辈": 53382, - "打折": 53383, - "颜色的": 53384, - "liquid": 53385, - "您所选定的客房": 53386, - "▁salivary": 53387, - "区和": 53388, - "赛道": 53389, - "mgr": 53390, - "▁HBO": 53391, - "▁intentionally": 53392, - "▁解": 53393, - "行列": 53394, - "{{\\": 53395, - "▁skiers": 53396, - "双层": 53397, - "对各": 53398, - "沉迷": 53399, - "车厢": 53400, - "国庆节": 53401, - "教学方法": 53402, - "▁Barb": 53403, - "##############\\": 53404, - "specs": 53405, - "▁progressed": 53406, - "也叫": 53407, - "何以": 53408, - "护航": 53409, - "立项": 53410, - "▁kon": 53411, - "▁就": 53412, - "孤单": 53413, - "CAN": 53414, - "也有很多": 53415, - "Allowed": 53416, - "▁anastom": 53417, - "复查": 53418, - "小人": 53419, - "报案": 53420, - "▁ko": 53421, - "inis": 53422, - "nHas": 53423, - "nNov": 53424, - "之所": 53425, - "唿吁": 53426, - "赞美": 53427, - "个体户": 53428, - "érie": 53429, - "中心主任": 53430, - "▁Rates": 53431, - "▁Sustainable": 53432, - "得利": 53433, - "对管辖权": 53434, - "nfield": 53435, - "生子": 53436, - "建筑安装": 53437, - "▁dosing": 53438, - "▁Comprehensive": 53439, - "▁electrostatic": 53440, - "坏死": 53441, - "buck": 53442, - "amics": 53443, - "▁underlie": 53444, - "▁首先": 53445, - "参考答案": 53446, - "crest": 53447, - "▁STEM": 53448, - "▁openings": 53449, - "nTransportation": 53450, - "定性": 53451, - "为实现": 53452, - "inez": 53453, - "▁taper": 53454, - "号民事判决书的执行": 53455, - "摄像机": 53456, - "▁scanned": 53457, - "▁civilians": 53458, - "敦煌": 53459, - "Gly": 53460, - "ndi": 53461, - "国家重点": 53462, - "享受三包服务": 53463, - "罪犯奖惩审批表": 53464, - "▁suburbs": 53465, - "centration": 53466, - "▁interplay": 53467, - "向外": 53468, - "安居": 53469, - "底盘": 53470, - "极了": 53471, - "是完全": 53472, - "grep": 53473, - "symbols": 53474, - "建设工程有限公司": 53475, - "▁TL": 53476, - "审理中": 53477, - "月下旬": 53478, - "购买了": 53479, - "nKe": 53480, - "于一体": 53481, - "产品和": 53482, - "的了解": 53483, - "past": 53484, - "▁GST": 53485, - "国家安全": 53486, - "amarin": 53487, - "▁recurs": 53488, - "▁delegation": 53489, - "款的": 53490, - "families": 53491, - "三课": 53492, - "外墙": 53493, - "正值": 53494, - "章程": 53495, - "BUT": 53496, - "▁nig": 53497, - "ilers": 53498, - "paren": 53499, - "preset": 53500, - "据此解答即可": 53501, - "▁ceased": 53502, - "▁culturally": 53503, - "数和": 53504, - "会将": 53505, - "点多": 53506, - "▁适量": 53507, - "▁Kot": 53508, - "几个方面": 53509, - "▁gulp": 53510, - "▁squeeze": 53511, - "▁unaware": 53512, - "ár": 53513, - "nConvert": 53514, - "▁fathers": 53515, - "▁oscillation": 53516, - "亦可": 53517, - "池塘": 53518, - "CLI": 53519, - "▁authenticate": 53520, - "六合": 53521, - "称作": 53522, - "▁命令": 53523, - "▁unpack": 53524, - "进阶": 53525, - "这对于": 53526, - "tips": 53527, - "▁{$": 53528, - "▁Pall": 53529, - "▁Maker": 53530, - "减为有期徒刑": 53531, - "非物质文化遗产": 53532, - "▁ellipse": 53533, - "CALL": 53534, - "▁发行时间": 53535, - "▁freezer": 53536, - "▁侯": 53537, - "祖国的": 53538, - "/{{": 53539, - "icl": 53540, - ",“": 53541, - "构思": 53542, - "禁毒": 53543, - "GPL": 53544, - "神奇的": 53545, - "规模的": 53546, - "nPolish": 53547, - "addresses": 53548, - "嘻嘻": 53549, - "安装在": 53550, - "▁clash": 53551, - "▁Forbes": 53552, - "▁Holdings": 53553, - "fk": 53554, - "▁带": 53555, - "布朗": 53556, - "故此": 53557, - "身世": 53558, - "降噪": 53559, - "也算是": 53560, - "区域的": 53561, - "往往是": 53562, - "的一份": 53563, - "__),": 53564, - "tstruct": 53565, - "▁mosaic": 53566, - "▁Fortune": 53567, - "好运": 53568, - "RAM": 53569, - "▁Brom": 53570, - "皇宫": 53571, - "▁worm": 53572, - "▁Doing": 53573, - "▁motivate": 53574, - "tdb": 53575, - "anza": 53576, - "nBill": 53577, - "subtitle": 53578, - "▁ultrasonic": 53579, - "死去": 53580, - "证明其": 53581, - "▁Apost": 53582, - "favicon": 53583, - "跟进": 53584, - "召开了": 53585, - "▁condo": 53586, - "Community": 53587, - "▁withdrawn": 53588, - "▁disadvantages": 53589, - "学霸": 53590, - "推迟": 53591, - "FTER": 53592, - "工艺美术": 53593, - "▁breeze": 53594, - "▁Satellite": 53595, - "高分子": 53596, - "tall": 53597, - "生命周期": 53598, - "资金周转": 53599, - "Street": 53600, - "▁Strategies": 53601, - "▁Kad": 53602, - "ovolta": 53603, - "▁Scala": 53604, - "▁mushrooms": 53605, - "国安": 53606, - "距离最近的": 53607, - "文化传播有限公司": 53608, - "稀土": 53609, - "不能再": 53610, - "▁ling": 53611, - "Partial": 53612, - "▁Budapest": 53613, - "积水": 53614, - "等优点": 53615, - "nSep": 53616, - "▁cogn": 53617, - "olphins": 53618, - "不解": 53619, - "稳固": 53620, - "还被": 53621, - "会比较": 53622, - "作用下": 53623, - "群体的": 53624, - "▁Tyr": 53625, - "▁kar": 53626, - "▁ethnicity": 53627, - "antlr": 53628, - "▁teammates": 53629, - "中区": 53630, - 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"圣诞节": 61657, - "的特色": 61658, - "▁Wade": 61659, - "解题过程中的": 61660, - "▁follicular": 61661, - "台县": 61662, - "复方": 61663, - "异物": 61664, - "避孕": 61665, - "人可以": 61666, - "泰州市": 61667, - "▁ROI": 61668, - "▁Rho": 61669, - "京东图书": 61670, - "▁incurred": 61671, - "循序": 61672, - "收货": 61673, - "笑脸": 61674, - "申请撤回": 61675, - "inence": 61676, - "▁concurrently": 61677, - "无愧": 61678, - "脊椎": 61679, - "跳转": 61680, - "▁Yuan": 61681, - "RestController": 61682, - "NZ": 61683, - "▁ре": 61684, - "恢复正常": 61685, - "日向原告": 61686, - "nINSERT": 61687, - "▁Herman": 61688, - "Accounts": 61689, - "▁Broncos": 61690, - "▁Portable": 61691, - "五代": 61692, - "是没": 61693, - "点火": 61694, - "鱿鱼": 61695, - "ngx": 61696, - "bases": 61697, - "nLight": 61698, - "▁arcade": 61699, - "▁outbreaks": 61700, - "大使馆": 61701, - "FONT": 61702, - "▁Mitt": 61703, - "Banner": 61704, - "布袋": 61705, - "发展成为": 61706, - "▁Winston": 61707, - "▁Chancellor": 61708, - "▁geological": 61709, - "▁subcellular": 61710, - "议院": 61711, - "▁RH": 61712, - "的各项": 61713, - "APPS": 61714, - "Conv": 61715, - "▁Copa": 61716, - "▁enchant": 61717, - "▁salvage": 61718, - "▁Newfoundland": 61719, - "偏离": 61720, - "树枝": 61721, - "Elem": 61722, - "mens": 61723, - "▁PGE": 61724, - "电子信息": 61725, - "▁Wife": 61726, - "catenin": 61727, - "▁illusion": 61728, - "月第": 61729, - "美金": 61730, - "赃款": 61731, - ">](": 61732, - "▁Treg": 61733, - "pleasant": 61734, - "▁podcasts": 61735, - "解题过程中的依据是什么": 61736, - "▁descendants": 61737, - "性及": 61738, - "特地": 61739, - "UPS": 61740, - "是否会": 61741, - "osse": 61742, - "otopic": 61743, - "▁Himal": 61744, - "▁Apartments": 61745, - "ffi": 61746, - "ogi": 61747, - "可获得": 61748, - "的最好": 61749, - "了解更多": 61750, - "Ability": 61751, - "▁Farmer": 61752, - "▁Gardner": 61753, - "德惠": 61754, - "▁系列": 61755, - "十一五": 61756, - "和生产": 61757, - "罪犯杨": 61758, - "▁Grow": 61759, - "▁$${\\\\": 61760, - "stituted": 61761, - "separated": 61762, - "跟上": 61763, - "骗取": 61764, - "▁其七": 61765, - "事业部": 61766, - "winner": 61767, - "▁Performing": 61768, - "Plane": 61769, - "▁Nano": 61770, - "和分析的过程": 61771, - "chromium": 61772, - "▁Tribune": 61773, - "▁permitting": 61774, - "特许": 61775, - "讲课": 61776, - "▁Tian": 61777, - "▁Diane": 61778, - "▁Relay": 61779, - "nJoseph": 61780, - "不耐": 61781, - "尿素": 61782, - "为单位": 61783, - "表情包": 61784, - "abis": 61785, - "▁Guests": 61786, - "▁triumph": 61787, - "▁熊": 61788, - "女排": 61789, - "龙潭": 61790, - "住天津市": 61791, - "▁Fully": 61792, - "Awesome": 61793, - "▁Addition": 61794, - "奖品": 61795, - "Utf": 61796, - "的知识和": 61797, - "部副部长": 61798, - "▁Kard": 61799, - "Attach": 61800, - "▁Legends": 61801, - "▁tangible": 61802, - "▁computationally": 61803, - "书包": 61804, - "芝加": 61805, - "团队的": 61806, - "展现出": 61807, - "dock": 61808, - "▁homogen": 61809, - "互利": 61810, - "床垫": 61811, - "更低": 61812, - "砂浆": 61813, - "考的": 61814, - "舰队": 61815, - "不是我": 61816, - "深深的": 61817, - "heus": 61818, - "sell": 61819, - "spatial": 61820, - "▁cooled": 61821, - "▁rejuven": 61822, - "▁serializer": 61823, - "ック": 61824, - "插画": 61825, - "江水": 61826, - "nFive": 61827, - "▁ASCII": 61828, - "Elastic": 61829, - "nVersion": 61830, - "不育": 61831, - "病程": 61832, - "研究生学历": 61833, - "protective": 61834, - "▁proficiency": 61835, - "▁가": 61836, - "年头": 61837, - "是新": 61838, - "波浪": 61839, - "rak": 61840, - "是两个": 61841, - "行政区域": 61842, - "aspoon": 61843, - "▁Fiber": 61844, - "enstein": 61845, - "▁Detail": 61846, - "▁economists": 61847, - "▁antiretroviral": 61848, - "已成": 61849, - "闭合": 61850, - "▁Vote": 61851, - "▁usize": 61852, - "▁troubled": 61853, - "改判": 61854, - "春色": 61855, - "智库": 61856, - "歉意": 61857, - "保字第": 61858, - "▁buys": 61859, - "Ord": 61860, - "开庭传票": 61861, - "aiser": 61862, - "▁Trigger": 61863, - "▁decrypt": 61864, - "▁wilderness": 61865, - "KR": 61866, - "▁Р": 61867, - "全线": 61868, - "已然": 61869, - "月被": 61870, - "清远": 61871, - "▁paved": 61872, - "otrophic": 61873, - "▁getUser": 61874, - "▁Counties": 61875, - "▁smoothing": 61876, - "并告诉我您的选择和分析的过程": 61877, - "纽带": 61878, - "Arm": 61879, - "中医院": 61880, - "MPLE": 61881, - "全力以赴": 61882, - "牢记使命": 61883, - "wizard": 61884, - "▁Concord": 61885, - "▁Meaning": 61886, - "▁airflow": 61887, - "▁craving": 61888, - "▁flooded": 61889, - "▁bookings": 61890, - "▁caregiver": 61891, - "光度": 61892, - "染料": 61893, - "树上": 61894, - "ASA": 61895, - "tas": 61896, - "和解为由": 61897, - "otech": 61898, - "▁china": 61899, - "affinity": 61900, - "▁ceremonies": 61901, - "▁左": 61902, - "眉毛": 61903, - "北京的": 61904, - "就有了": 61905, - "最快的": 61906, - "要怎么": 61907, - "被执行人黄": 61908, - "▁Basil": 61909, - "▁Porsche": 61910, - "▁Exercises": 61911, - "▁travellers": 61912, - "其为": 61913, - "▁开始": 61914, - "的看法": 61915, - "并给出合理的解释": 61916, - "▁stringent": 61917, - "▁motivational": 61918, - "▁邱": 61919, - "▁Eh": 61920, - "▁主体": 61921, - "这里有": 61922, - "赔偿被害人": 61923, - "genesis": 61924, - "▁Tropical": 61925, - "业者": 61926, - "对前款": 61927, - "得益于": 61928, - "看电视": 61929, - "emma": 61930, - "nonce": 61931, - "▁Booth": 61932, - "▁Malcolm": 61933, - "并给出你的解题过程": 61934, - "▁coincidence": 61935, - "秋日": 61936, - "were": 61937, - "▁jelly": 61938, - "▁UPDATE": 61939, - "Capacity": 61940, - "Retention": 61941, - "▁landlord": 61942, - "Instrument": 61943, - "WG": 61944, - "节水": 61945, - "已交纳": 61946, - "谅解书": 61947, - "EXEC": 61948, - "vester": 61949, - "▁Herein": 61950, - "▁sporadic": 61951, - "惯性": 61952, - "打入": 61953, - "信息网": 61954, - "▁Communities": 61955, - "Pref": 61956, - "可以提高": 61957, - "▁oppose": 61958, - "▁sediments": 61959, - "刺客": 61960, - "沉降": 61961, - "▁综合": 61962, - "一季度": 61963, - "▁vib": 61964, - "中国政府": 61965, - "但是我们": 61966, - "nHouse": 61967, - "▁Driving": 61968, - "▁chlorine": 61969, - "▁inducible": 61970, - "▁Entrepreneur": 61971, - "型和": 61972, - "总站": 61973, - "洞庭": 61974, - "矿区": 61975, - "造林": 61976, - "ivered": 61977, - "▁Aging": 61978, - "imester": 61979, - "次要": 61980, - "茶匙": 61981, - "另一方": 61982, - "投入到": 61983, - "持卡人": 61984, - "芝加哥": 61985, - "]\\\\)": 61986, - "Undefined": 61987, - "▁silencing": 61988, - "独有": 61989, - "处理好": 61990, - "老人的": 61991, - "▁arrests": 61992, - "▁bronchial": 61993, - "▁preferably": 61994, - "然后告诉我您的最佳选择和分析思路": 61995, - "ldap": 61996, - "▁rall": 61997, - "emptyset": 61998, - "PrimaryKey": 61999, - "▁Wholesale": 62000, - "▁scalability": 62001, - "▁包": 62002, - "赛区": 62003, - "冻结的": 62004, - "irds": 62005, - "▁iodine": 62006, - "亿万": 62007, - "成败": 62008, - "*((": 62009, - "▁广州市": 62010, - "endra": 62011, - "▁Boyd": 62012, - "▁Escape": 62013, - "▁edible": 62014, - "▁cytosolic": 62015, - "白血": 62016, - "都属于": 62017, - "lista": 62018, - "phenyl": 62019, - "▁granular": 62020, - "签到": 62021, - "脱硫": 62022, - "问责": 62023, - "优良的": 62024, - "对他的": 62025, - "intern": 62026, - "purple": 62027, - "▁Nexus": 62028, - "▁Castro": 62029, - "▁Nearly": 62030, - "▁Welfare": 62031, - "nBasically": 62032, - "▁impacting": 62033, - "▁nc": 62034, - "十分钟": 62035, - "有需要": 62036, - "▁intrav": 62037, - "诉刑诉": 62038, - "二〇一七年三": 62039, - "escence": 62040, - "▁Screening": 62041, - "林场": 62042, - "比拟": 62043, - "航行": 62044, - "路桥": 62045, - "AES": 62046, - "努力的": 62047, - "这种事": 62048, - "目前正在": 62049, - "▁Huang": 62050, - "nString": 62051, - "mz": 62052, - "大卫": 62053, - "忠实": 62054, - "颜料": 62055, - "▁CMV": 62056, - "▁Extr": 62057, - "▁Qing": 62058, - "translated": 62059, - "GetComponent": 62060, - "元气": 62061, - "荷载": 62062, - "▁Fiji": 62063, - "▁Weak": 62064, - "abella": 62065, - "ilical": 62066, - "▁Released": 62067, - "effectiveness": 62068, - "▁transporters": 62069, - "kd": 62070, - "▁则": 62071, - "▼\\": 62072, - "双核": 62073, - "山坡": 62074, - "洗脸": 62075, - "读懂": 62076, - "增长的": 62077, - "建筑师": 62078, - "Plain": 62079, - "▁Indies": 62080, - "▁Vernon": 62081, - "未经法庭许可中途退庭的": 62082, - "转变为": 62083, - "▁Akt": 62084, - "▁主要参数": 62085, - "existence": 62086, - "president": 62087, - "SEQUENTIAL": 62088, - "▁Episcopal": 62089, - "冷酷": 62090, - "华润": 62091, - "hhh": 62092, - "以确保": 62093, - "和安全": 62094, - "更方便": 62095, - "的主人": 62096, - "▁sewer": 62097, - "▁Abbott": 62098, - "▁Packet": 62099, - "▁blender": 62100, - "本案在审理过程中": 62101, - "曾被": 62102, - "]<<": 62103, - "}`)\\": 62104, - "中国移动": 62105, - "但是现在": 62106, - "ivable": 62107, - "▁Saturn": 62108, - "regnancy": 62109, - "remaining": 62110, - "▁formulae": 62111, - "为凭": 62112, - "拷贝": 62113, - "甚么": 62114, - "Gas": 62115, - "时免费": 62116, - "imeo": 62117, - "undy": 62118, - "▁seper": 62119, - "差异无统计学意义": 62120, - "▁Tomorrow": 62121, - "亲朋": 62122, - "到此": 62123, - "定金": 62124, - "不等于": 62125, - "睡不着": 62126, - "密切相关": 62127, - "estry": 62128, - "▁Mast": 62129, - "▁Britt": 62130, - "▁steer": 62131, - "▁philosopher": 62132, - "@{": 62133, - "凹陷": 62134, - "▁Been": 62135, - "▁TODAY": 62136, - "▁keynote": 62137, - "▁valence": 62138, - "在西": 62139, - "鹏飞": 62140, - "▁HTC": 62141, - "制度改革": 62142, - "▁ribs": 62143, - "pecific": 62144, - "toutput": 62145, - "▁Wallet": 62146, - "nWinners": 62147, - "iculously": 62148, - "起诉必须符合下列条件": 62149, - "▁substitutions": 62150, - "Ty": 62151, - "并茂": 62152, - "解码": 62153, - "ctr": 62154, - "的这个": 62155, - "maxn": 62156, - "▁FSH": 62157, - "▁副标题": 62158, - "可能导致": 62159, - "核心价值观": 62160, - "▁Lessons": 62161, - "▁unhappy": 62162, - "following": 62163, - "其行为已构成盗窃罪": 62164, - "▁statutory": 62165, - "凄凉": 62166, - "方形": 62167, - "权属": 62168, - "离别": 62169, - "EEK": 62170, - "▁杭州": 62171, - "▁比赛": 62172, - "综合治理": 62173, - "设计方案": 62174, - "ORMAL": 62175, - "Parcel": 62176, - "▁holog": 62177, - "▁antigenic": 62178, - "花草": 62179, - "还很": 62180, - "cep": 62181, - "▁}:": 62182, - "gems": 62183, - "一点也不": 62184, - "分别求出": 62185, - "你选择的依据": 62186, - "affolds": 62187, - "▁Presbyterian": 62188, - "对口": 62189, - "山楂": 62190, - "饭菜": 62191, - "nMa": 62192, - "▁rv": 62193, - "▁Mey": 62194, - "儿童文学": 62195, - "共产主义": 62196, - "第二十五": 62197, - "交通警察大队": 62198, - "仔细地阅读选项": 62199, - "▁Strength": 62200, - "并给出你选择的依据": 62201, - "▁indispens": 62202, - "请您务必仔细地阅读选项": 62203, - "并给出你选择的依据和分析思路": 62204, - "命的": 62205, - "肯定的": 62206, - "节目中": 62207, - "要不然": 62208, - "▁pon": 62209, - "Gradient": 62210, - "八字": 62211, - "小幅": 62212, - "neck": 62213, - "rupts": 62214, - "▁stdin": 62215, - "▁tasked": 62216, - "scribers": 62217, - "▁Spatial": 62218, - "▁propensity": 62219, - "▁apprentices": 62220, - "作法": 62221, - "(\"_": 62222, - "充要条件": 62223, - "冠军联赛": 62224, - "stamp": 62225, - "▁distributors": 62226, - "▁血": 62227, - "alm": 62228, - "▁异界": 62229, - "没有被": 62230, - "NNNN": 62231, - "▁sparkling": 62232, - "师德": 62233, - "湖州": 62234, - "自动履行": 62235, - "▁broth": 62236, - "▁spelled": 62237, - "内径": 62238, - "和李": 62239, - "宇航": 62240, - "сти": 62241, - "经济学家": 62242, - "hybrid": 62243, - "nerror": 62244, - "▁bites": 62245, - "signals": 62246, - "一听": 62247, - "抗美": 62248, - "推拿": 62249, - "抵抗力": 62250, - "▁MAG": 62251, - "公司员工": 62252, - "uvian": 62253, - "▁Included": 62254, - "▁businesspeople": 62255, - "一角": 62256, - "封印": 62257, - "osx": 62258, - "人们在": 62259, - "科技的": 62260, - "等人的": 62261, - "故对原告": 62262, - "▁Wrap": 62263, - "进一步提升": 62264, - "之风": 62265, - "终生": 62266, - "者为": 62267, - "背影": 62268, - "ANA": 62269, - "Crypto": 62270, - "▁reluctant": 62271, - "ITT": 62272, - "glm": 62273, - "预交的": 62274, - "Void": 62275, - "placements": 62276, - "任性": 62277, - "台的": 62278, - "职能部门": 62279, - "▁gaze": 62280, - "解决的问题": 62281, - "Determ": 62282, - "lorida": 62283, - "▁lacked": 62284, - "▁sculptor": 62285, - "▁furnishings": 62286, - "kil": 62287, - "▁yy": 62288, - "在什么": 62289, - "能量的": 62290, - "镇江市": 62291, - "abit": 62292, - "▁WHEN": 62293, - "▁paradise": 62294, - "▁transistor": 62295, - "▁whitespace": 62296, - "海参": 62297, - "着实": 62298, - "额为": 62299, - "高明": 62300, - "▁Chow": 62301, - "▁Keeping": 62302, - "地貌": 62303, - "巨星": 62304, - "雄性": 62305, - "▁状态": 62306, - "出发点": 62307, - "线上的": 62308, - "▁$${": 62309, - "诗词正文": 62310, - "▁BACK": 62311, - "▁Straight": 62312, - "pinephrine": 62313, - "▁Practical": 62314, - "longrightarrow": 62315, - "AJ": 62316, - "亚纲": 62317, - "小品": 62318, - "曲面": 62319, - "贵宾": 62320, - "蓄电池": 62321, - "SCHE": 62322, - "TERS": 62323, - "otropin": 62324, - "▁dentists": 62325, - "▁neoplasms": 62326, - "七夕": 62327, - "使我": 62328, - "重现": 62329, - "arf": 62330, - "玩手机": 62331, - "非常大": 62332, - "nwin": 62333, - "▁Fry": 62334, - "Damage": 62335, - "userName": 62336, - "▁biofilm": 62337, - "俱全": 62338, - "则会": 62339, - "温差": 62340, - "耗材": 62341, - "身穿": 62342, - "阶段性": 62343, - "▁Sind": 62344, - "环境保护局": 62345, - "▁Cooperative": 62346, - "上岗": 62347, - "友善": 62348, - "▁Stern": 62349, - "▁mosque": 62350, - "▁sampler": 62351, - "authorize": 62352, - "setContent": 62353, - "▁lowercase": 62354, - "▁beforehand": 62355, - "getter": 62356, - "nSound": 62357, - "浙江省杭州市": 62358, - "UpperCase": 62359, - "▁pneumoniae": 62360, - "▁picturesque": 62361, - "Reb": 62362, - "可实现": 62363, - "文件中": 62364, - "quark": 62365, - "invariant": 62366, - "▁Awareness": 62367, - "▁protagonist": 62368, - "平面内": 62369, - "▁pys": 62370, - "由原告抚养": 62371, - "需要注意的是": 62372, - "▁confocal": 62373, - "▁passages": 62374, - "专员": 62375, - "也成为": 62376, - "言律诗": 62377, - "或者未经法庭许可中途退庭的": 62378, - "出栏": 62379, - "礼包": 62380, - "位置的": 62381, - "Fold": 62382, - "▁Strange": 62383, - "▁Deployment": 62384, - "▁governmental": 62385, - "可予": 62386, - "已将": 62387, - "老区": 62388, - "被我": 62389, - "Jav": 62390, - "▁Kö": 62391, - ">\\';\\": 62392, - "第七十二条": 62393, - "越来越多的人": 62394, - "Patient": 62395, - "▁Magnet": 62396, - "▁trailers": 62397, - "▁exhaustive": 62398, - "余家": 62399, - "双赢": 62400, - "太仓": 62401, - "补肾": 62402, - "过着": 62403, - "ingen": 62404, - "reements": 62405, - "想来": 62406, - "huang": 62407, - "▁Earn": 62408, - "arching": 62409, - "▁Terror": 62410, - "bindings": 62411, - "▁Objectives": 62412, - "想买": 62413, - "方法将": 62414, - "中小学生": 62415, - "Alloc": 62416, - "agnet": 62417, - "iffany": 62418, - "▁Pablo": 62419, - "新疆生产建设兵团": 62420, - "blueprint": 62421, - "▁Anonymous": 62422, - "▁unhealthy": 62423, - "功名": 62424, - "勾股": 62425, - "的发": 62426, - "是日本": 62427, - "比较适合": 62428, - "▁ureth": 62429, - "▁brewery": 62430, - "安检": 62431, - "肩负": 62432, - "轻型": 62433, - "截止到": 62434, - "Into": 62435, - "▁hemodialysis": 62436, - "用料": 62437, - "组分": 62438, - "家人的": 62439, - "让别人": 62440, - "▁Sard": 62441, - "履行债务的能力": 62442, - "▁Bedford": 62443, - "▁colonic": 62444, - "▁reliance": 62445, - "Functional": 62446, - "NullException": 62447, - "esm": 62448, - "iage": 62449, - "▁Kub": 62450, - "▁RBC": 62451, - "青年教师": 62452, - "lename": 62453, - "▁Osaka": 62454, - "▁educating": 62455, - "▁乌": 62456, - "在建": 62457, - "心头": 62458, - "ITER": 62459, - "▁sunk": 62460, - "▁Jorge": 62461, - "▁stride": 62462, - "忧伤": 62463, - "提拔": 62464, - "▁ff": 62465, - "垃圾桶": 62466, - "不等式的解集": 62467, - "▁crater": 62468, - "▁Interpret": 62469, - "接送": 62470, - "的情": 62471, - "中央党校": 62472, - "但实际上": 62473, - "▁Veget": 62474, - ",)": 62475, - "地道": 62476, - "影音": 62477, - "▁Ens": 62478, - "URCES": 62479, - "cobra": 62480, - "ieder": 62481, - "▁tidy": 62482, - "alculus": 62483, - "▁undergoes": 62484, - "滞后": 62485, - "▁本名": 62486, - "VENT": 62487, - "hits": 62488, - "▁LOT": 62489, - "▁Deer": 62490, - "的免费政策": 62491, - "lamide": 62492, - "追索劳动报酬": 62493, - "▁Andhra": 62494, - "▁cardiomyopathy": 62495, - "痉挛": 62496, - "ouve": 62497, - "一项住宿": 62498, - "▁Ways": 62499, - "forces": 62500, - "quotes": 62501, - "▁Pomer": 62502, - "▁Recipe": 62503, - "你最": 62504, - "品格": 62505, - "对新": 62506, - "世界观": 62507, - "的医疗": 62508, - "的成长": 62509, - "的高速": 62510, - "▁Forever": 62511, - "▁primate": 62512, - "▁Chambers": 62513, - "▁regiment": 62514, - "简明": 62515, - "远了": 62516, - "LOY": 62517, - "▁SAY": 62518, - "重点项目": 62519, - "▁Pierce": 62520, - "interpol": 62521, - "▁fountain": 62522, - "▁expatriates": 62523, - "书房": 62524, - "卖给": 62525, - "吃亏": 62526, - "无解": 62527, - "Cov": 62528, - "yam": 62529, - "木地板": 62530, - "本案系": 62531, - "正文语种": 62532, - "▁bifur": 62533, - "▁shining": 62534, - "▁fairness": 62535, - "一项住宿的免费政策": 62536, - "▁sectional": 62537, - "享有的债权依法受法律保护": 62538, - "三类": 62539, - "二字": 62540, - "工科": 62541, - "牙刷": 62542, - "]$,": 62543, - "▁ERK": 62544, - "▁jug": 62545, - "▁omn": 62546, - "提供被告": 62547, - "终结执行后": 62548, - "insulin": 62549, - "featured": 62550, - "卧龙": 62551, - "双边": 62552, - "菌株": 62553, - "飞跃": 62554, - "的文字": 62555, - "sink": 62556, - "empor": 62557, - "▁Beau": 62558, - "▁Stim": 62559, - "shapes": 62560, - "▁hurdles": 62561, - "▁Supporting": 62562, - "▁cartridges": 62563, - "单位出具的财产查询回执": 62564, - "拟合": 62565, - "Van": 62566, - "不停地": 62567, - "都能够": 62568, - "\":\"/": 62569, - "▁第二章": 62570, - "提请减刑": 62571, - "▁Trap": 62572, - "uretic": 62573, - "autical": 62574, - "▁inmates": 62575, - "▁jurisdict": 62576, - "并给出相应的解题过程": 62577, - "▁cardinality": 62578, - "▁commercials": 62579, - "咖喱": 62580, - "日日": 62581, - "赵丽": 62582, - "igu": 62583, - "五千元": 62584, - "知名品牌": 62585, - "chnic": 62586, - "nHenry": 62587, - "▁questionable": 62588, - "侦察": 62589, - "▁FTP": 62590, - "▁pyt": 62591, - "▁LOSS": 62592, - "sphinx": 62593, - "▁purse": 62594, - "artifacts": 62595, - "▁expansive": 62596, - "Nu": 62597, - "RAN": 62598, - "▁sugars": 62599, - "▁Advance": 62600, - "▁Matthews": 62601, - "▁empowerment": 62602, - ">`\\": 62603, - "结果单": 62604, - "请求撤销": 62605, - "▁SUCH": 62606, - "▁Demonstr": 62607, - "▁reusable": 62608, - "▁simplifies": 62609, - "恒星": 62610, - "Gene": 62611, - "baby": 62612, - "▁Ank": 62613, - "▁IgM": 62614, - "▁BEST": 62615, - "FAILURE": 62616, - "被执行人应当履行义务": 62617, - "▁Estimation": 62618, - "第二百五十七条第一款第": 62619, - "后因": 62620, - "志勇": 62621, - "或将": 62622, - "未曾": 62623, - "进村": 62624, - "造假": 62625, - "▁Amp": 62626, - "▁neurot": 62627, - "▁urging": 62628, - "computed": 62629, - "▁enduring": 62630, - "▁entirety": 62631, - "▁Geometric": 62632, - "atie": 62633, - "▁SHE": 62634, - "一线城市": 62635, - "▁Axis": 62636, - "▁Tumor": 62637, - "nclient": 62638, - "▁Manage": 62639, - "▁extremity": 62640, - "▁associative": 62641, - "▁好": 62642, - "上加": 62643, - "在后": 62644, - "▁GIF": 62645, - "管理体制": 62646, - "这个数是": 62647, - "nIndex": 62648, - "▁Middles": 62649, - "▁separates": 62650, - "▁施": 62651, - "演习": 62652, - "青菜": 62653, - "nll": 62654, - "▁Serg": 62655, - "▁牺牲情况": 62656, - "▁psoriasis": 62657, - "StringBuilder": 62658, - "填上": 62659, - "准备的": 62660, - "爱上了": 62661, - "Steve": 62662, - "omegal": 62663, - "▁hypoxic": 62664, - "▁Professionals": 62665, - "朦胧": 62666, - "画出": 62667, - "订立": 62668, - "早期的": 62669, - "▁Infl": 62670, - "▁rRNA": 62671, - "▁boson": 62672, - "本院依法受理": 62673, - "XM": 62674, - "fq": 62675, - "いた": 62676, - "飘飘": 62677, - "儿子的": 62678, - "▁UDP": 62679, - "市场上的": 62680, - "Trust": 62681, - "▁Andr": 62682, - "▁occupies": 62683, - "nFurthermore": 62684, - "▁confidentiality": 62685, - "国军": 62686, - "在手": 62687, - "篇幅": 62688, - "苦恼": 62689, - "▁`\"": 62690, - "imple": 62691, - "▁HDMI": 62692, - "先进工作者": 62693, - "▁Grill": 62694, - "▁agile": 62695, - "服饰有限公司": 62696, - "▁NASCAR": 62697, - "▁Sundays": 62698, - "又叫": 62699, - "平湖": 62700, - "有道": 62701, - "计算的": 62702, - "大大提高": 62703, - "VERTI": 62704, - "▁oder": 62705, - "smouth": 62706, - "▁Errors": 62707, - "▁asyncio": 62708, - "下发": 62709, - "乳胶": 62710, - "可调": 62711, - "放映": 62712, - "立式": 62713, - "的房产": 62714, - "的看着": 62715, - "Harm": 62716, - "▁Lad": 62717, - "▁Chance": 62718, - "▁contral": 62719, - "▁Martinez": 62720, - "Ale": 62721, - "分式的": 62722, - "建设银行": 62723, - "紧紧围绕": 62724, - "PROTO": 62725, - "▁Kafka": 62726, - "▁geometrical": 62727, - "ши": 62728, - "由其": 62729, - "▁spikes": 62730, - "月山": 62731, - "秒杀": 62732, - "tte": 62733, - "完之后": 62734, - "eren": 62735, - "▁Buk": 62736, - "经营理念": 62737, - "▁Mohammad": 62738, - "▁elongation": 62739, - "不入": 62740, - "谁说": 62741, - "已经很": 62742, - "OLED": 62743, - "ictionaries": 62744, - "华硕": 62745, - "矿井": 62746, - "网店": 62747, - "鲤鱼": 62748, - "▁mv": 62749, - "corp": 62750, - "故意杀人": 62751, - "程序设计": 62752, - "自我介绍": 62753, - "▁floats": 62754, - "▁unauthorized": 62755, - "八百": 62756, - "张玉": 62757, - "意料": 62758, - "nDev": 62759, - "virt": 62760, - "相关信息": 62761, - "▁lawsuits": 62762, - "▁博": 62763, - "容忍": 62764, - "就将": 62765, - "满天": 62766, - "该剧": 62767, - "黑夜": 62768, - "SUS": 62769, - "nfl": 62770, - "▁то": 62771, - "可能需要": 62772, - "家庭聚会": 62773, - "\\\\_\\\\_": 62774, - "▁popped": 62775, - "nPrimary": 62776, - "▁graphql": 62777, - "▁violate": 62778, - "▁servants": 62779, - "▁Democracy": 62780, - "▁disabling": 62781, - "▁vertebrate": 62782, - "▁accreditation": 62783, - "▁艳": 62784, - "你把": 62785, - "实景": 62786, - "]])": 62787, - "▁平面": 62788, - "Shot": 62789, - "oble": 62790, - "atase": 62791, - "manufact": 62792, - "▁Underground": 62793, - "裂片": 62794, - "Tabs": 62795, - "idades": 62796, - "缩写": 62797, - "▁PBS": 62798, - "集成电路": 62799, - "IGENCE": 62800, - "▁jealous": 62801, - "▁McCarthy": 62802, - "kj": 62803, - "▁ssl": 62804, - "uggle": 62805, - "▁Yard": 62806, - "床头": 62807, - "晚了": 62808, - "某人": 62809, - "选秀": 62810, - "城市化": 62811, - "守门员": 62812, - "过渡期": 62813, - "goods": 62814, - "▁NEED": 62815, - "Developer": 62816, - "志军": 62817, - "Feb": 62818, - "描述和": 62819, - "最佳的": 62820, - "▁Wen": 62821, - "fasta": 62822, - "▁pooled": 62823, - "thinking": 62824, - "▁hybrids": 62825, - "团伙": 62826, - "手下": 62827, - 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"nFellows": 62885, - "▁legends": 62886, - "合数": 62887, - "村位于": 62888, - "重要讲话": 62889, - "Devices": 62890, - "▁deferred": 62891, - "▁withdrew": 62892, - "适应性": 62893, - ":\")\\": 62894, - "nTeams": 62895, - "▁Beast": 62896, - "olerant": 62897, - "plified": 62898, - "剪刀": 62899, - "寿司": 62900, - "且原告": 62901, - "也因此": 62902, - "分别占": 62903, - "Sink": 62904, - "eced": 62905, - "▁CDs": 62906, - "怎么说呢": 62907, - "ARRAY": 62908, - "david": 62909, - "jected": 62910, - "getattr": 62911, - "▁swimmer": 62912, - "Unix": 62913, - "Website": 62914, - "▁ration": 62915, - "preserve": 62916, - "▁homeowner": 62917, - "是出于": 62918, - "▁吹风机": 62919, - "▁Doesn": 62920, - "DataSet": 62921, - "usement": 62922, - "交于": 62923, - "茉莉": 62924, - "nStatus": 62925, - "▁premiums": 62926, - "政委": 62927, - "比对": 62928, - "hir": 62929, - "▁世界": 62930, - "离婚后": 62931, - "jord": 62932, - "NAMESPACE": 62933, - "▁Disorder": 62934, - "▁illegally": 62935, - "YC": 62936, - "风尘": 62937, - "SURE": 62938, - "etus": 62939, - 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"夫妻共同财产": 63166, - "nNothing": 63167, - "▁HttpClient": 63168, - "ocompatibility": 63169, - "NW": 63170, - "▁初": 63171, - "边际": 63172, - "橄榄油": 63173, - "▁Berm": 63174, - "linalg": 63175, - "▁flats": 63176, - "▁myeloma": 63177, - "▁cholinergic": 63178, - "停电": 63179, - "纯正": 63180, - "针刺": 63181, - "▁Param": 63182, - "▁Pascal": 63183, - "▁invariants": 63184, - "理发": 63185, - "腹黑": 63186, - "颇为": 63187, - "任务的": 63188, - "▁Hyundai": 63189, - "tassertEquals": 63190, - "反响": 63191, - "扇形": 63192, - "汽车的": 63193, - "Invoice": 63194, - "debugger": 63195, - "可选择": 63196, - "Road": 63197, - "我们知道": 63198, - "执行法院": 63199, - "lords": 63200, - "培养学生的": 63201, - "指定期限内": 63202, - "▁rhetoric": 63203, - "引力": 63204, - "白金": 63205, - "黄冈": 63206, - "ithe": 63207, - "与时俱进": 63208, - "▁sticker": 63209, - "}÷": 63210, - "出头": 63211, - "苦瓜": 63212, - "边上": 63213, - "年代初": 63214, - "采用的是": 63215, - "▁quin": 63216, - "▁hugely": 63217, - "滋补": 63218, - "相撞": 63219, - "NLP": 63220, - "▁空调": 63221, - "发出了": 63222, - 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"tuce": 63280, - "▁dug": 63281, - "▁CHANGE": 63282, - "▁awaken": 63283, - "▁siding": 63284, - "urrection": 63285, - "▁subspecies": 63286, - "吃药": 63287, - "征税": 63288, - "最受": 63289, - "▁Adapt": 63290, - "民事行为能力": 63291, - "▁Alembic": 63292, - "▁INDIRECT": 63293, - "同时对": 63294, - "但是由于": 63295, - "nIdent": 63296, - "▁kings": 63297, - "▁inverter": 63298, - "▁Huntington": 63299, - "*\"": 63300, - "岁以下": 63301, - "试验区": 63302, - "▁RPG": 63303, - "nService": 63304, - "Definitions": 63305, - "她会": 63306, - "流速": 63307, - "Tel": 63308, - "oran": 63309, - "hemer": 63310, - "人口与计划生育": 63311, - "▁mosquit": 63312, - "$\"": 63313, - "之歌": 63314, - "写得": 63315, - "此举": 63316, - "衡水": 63317, - "进水": 63318, - "全覆盖": 63319, - "而导致": 63320, - "umers": 63321, - "南县人民法院": 63322, - "rystals": 63323, - "人头": 63324, - "旧的": 63325, - "破了": 63326, - "中国国家": 63327, - "为自己的": 63328, - "Pager": 63329, - "erdin": 63330, - "privacy": 63331, - "▁simplifying": 63332, - "景气": 63333, - "甲醇": 63334, - "EEP": 63335, - "湖州市": 63336, - "生产厂家": 63337, - "dragon": 63338, - "▁mater": 63339, - "▁wholes": 63340, - "%^": 63341, - "预估": 63342, - "是否是": 63343, - "wolf": 63344, - "高级教师": 63345, - "▁nanoc": 63346, - "▁oversee": 63347, - "大展": 63348, - "ankar": 63349, - "regexp": 63350, - "▁ATLAS": 63351, - "nQuestions": 63352, - "▁appraisal": 63353, - "▁kindergarten": 63354, - "探寻": 63355, - "极易": 63356, - "格栅": 63357, - "特么": 63358, - "诗句": 63359, - "BOOK": 63360, - "▁boxer": 63361, - "nRemove": 63362, - "▁bundled": 63363, - "滚滚": 63364, - "趋向": 63365, - "MCA": 63366, - "vian": 63367, - "▁Lima": 63368, - "▁contestants": 63369, - "卫计": 63370, - "台南": 63371, - "就从": 63372, - "浸润": 63373, - "腿部": 63374, - "的母亲": 63375, - "▁что": 63376, - "即可开始游戏": 63377, - "▁blinds": 63378, - "云山": 63379, - "协和": 63380, - "的圆": 63381, - "von": 63382, - "的商业": 63383, - "车服务": 63384, - "非常高": 63385, - "▁RPM": 63386, - "▁bids": 63387, - "iliate": 63388, - "▁beast": 63389, - "ximation": 63390, - "nHistoric": 63391, - "BufferedReader": 63392, - "之久": 63393, - "一次次": 63394, - "却发现": 63395, - "商丘市": 63396, - "▁Hed": 63397, - "犯诈骗罪": 63398, - "Earth": 63399, - "toast": 63400, - "uding": 63401, - "Discovery": 63402, - "▁annealing": 63403, - "何某": 63404, - "先前": 63405, - "▁<>": 63406, - "nGod": 63407, - "sand": 63408, - "tpath": 63409, - "▁evap": 63410, - "Anchor": 63411, - "就餐": 63412, - "雷霆": 63413, - "*)\\": 63414, - "oti": 63415, - "为指导": 63416, - "在企业": 63417, - "证明原": 63418, - "slots": 63419, - "nPrivate": 63420, - "第七十八条之规定": 63421, - "▁Provides": 63422, - "▁Blockchain": 63423, - "▁percentile": 63424, - "和为": 63425, - "灵芝": 63426, - "魅族": 63427, - "也有人": 63428, - "转化成": 63429, - "nDetermine": 63430, - "vf": 63431, - "春华": 63432, - "罐头": 63433, - "在现代": 63434, - "▁sdk": 63435, - "▁vid": 63436, - "▁biking": 63437, - "等号": 63438, - "闪闪": 63439, - "SPA": 63440, - "的原理": 63441, - "过一个": 63442, - "教学改革": 63443, - "dison": 63444, - "▁Mits": 63445, - "▁actu": 63446, - "并支付利息": 63447, - "轴对称图形": 63448, - "corpus": 63449, - "▁hydrochlor": 63450, - "重温": 63451, - "本文以": 63452, - "不同程度": 63453, - "imuth": 63454, - "▁Rafael": 63455, - "▁Heating": 63456, - "▁orbitals": 63457, - "standalone": 63458, - "▁intensities": 63459, - "育种": 63460, - "该产品": 63461, - "那么大": 63462, - "INET": 63463, - "psin": 63464, - "Paint": 63465, - "▁Tweet": 63466, - "▁voucher": 63467, - "YLE": 63468, - "exas": 63469, - "实实在在": 63470, - "▁Stuff": 63471, - "nIndeed": 63472, - "▁Timber": 63473, - "▁onsite": 63474, - "▁Printing": 63475, - "主意": 63476, - "你别": 63477, - "▁需要": 63478, - "工作量": 63479, - "Club": 63480, - "上述证据": 63481, - "▁Hawks": 63482, - "▁Macro": 63483, - "▁Graphic": 63484, - "▁eighteen": 63485, - "申请执行人可向本院申请恢复执行": 63486, - "当了": 63487, - "不重要": 63488, - "推动了": 63489, - "的情感": 63490, - "达成的": 63491, - "aban": 63492, - "URITY": 63493, - "▁Loans": 63494, - "gravity": 63495, - "▁imprint": 63496, - "▁Precision": 63497, - "▁biodegrad": 63498, - "▁Dependency": 63499, - "天安": 63500, - "应收": 63501, - "Ten": 63502, - "经原告": 63503, - "iren": 63504, - "临床表现": 63505, - "Popen": 63506, - "nPain": 63507, - "▁cheat": 63508, - "autions": 63509, - "▁sludge": 63510, - "▁mustard": 63511, - "▁Oriental": 63512, - "▁electrom": 63513, - "IPP": 63514, - "新陈代谢": 63515, - "方法采用": 63516, - "weeks": 63517, - "▁Oman": 63518, - "▁drains": 63519, - "projection": 63520, - "一旁": 63521, - "所含": 63522, - "生源": 63523, - "退化": 63524, - "不接受": 63525, - "手机号": 63526, - "的可以": 63527, - "hoff": 63528, - "▁cease": 63529, - "▁boxers": 63530, - "▁bidding": 63531, - "potential": 63532, - "减退": 63533, - "靠自己": 63534, - "Wind": 63535, - "alus": 63536, - "▁演员表": 63537, - "THING": 63538, - "ético": 63539, - "▁Rear": 63540, - "▁dirname": 63541, - "Analytics": 63542, - "▁broadcaster": 63543, - "灭亡": 63544, - "让其": 63545, - "yla": 63546, - "还有个": 63547, - "perg": 63548, - "▁Alf": 63549, - "itespace": 63550, - "二〇一四年十一月": 63551, - "yma": 63552, - "▁bisc": 63553, - "▁tint": 63554, - "▁Sexual": 63555, - "ivy": 63556, - "多领域": 63557, - "▁Dip": 63558, - "orian": 63559, - "▁Balk": 63560, - "▁sind": 63561, - 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"FILENAME": 70367, - "nDisplay": 70368, - "以便作出正确判断": 70369, - "并从所给选项中挑": 70370, - "运用扎实的知识和": 70371, - "▁Packages": 70372, - "Projection": 70373, - "请仔细研究接下来的选择题": 70374, - "运用扎实的知识和仔细的思考": 70375, - "并从所给选项中挑选出正确的答案": 70376, - "久之": 70377, - "容貌": 70378, - "nLos": 70379, - "▁Eis": 70380, - "tMonday": 70381, - "▁glycoproteins": 70382, - "报社": 70383, - "禁烟": 70384, - "电脑上": 70385, - "政法大学": 70386, - "最简单的": 70387, - "Joint": 70388, - "乘法分配律": 70389, - "书香": 70390, - "冬梅": 70391, - "锯齿": 70392, - "fur": 70393, - "▁$<": 70394, - "我想说": 70395, - "起重机": 70396, - "nica": 70397, - "▁Pras": 70398, - "酒店的确认": 70399, - "apunov": 70400, - "macros": 70401, - "加床或婴儿床": 70402, - "的要求均需获得": 70403, - "▁Basement": 70404, - "▁bothered": 70405, - "▁machining": 70406, - "\\\\)\\\\({\\\\,\\\\": 70407, - "所提出的任何加床或婴儿床": 70408, - "丽娟": 70409, - "使君": 70410, - "朝天": 70411, - "cow": 70412, - "vie": 70413, - "做的事": 70414, - "如下文": 70415, - "）**": 70416, - "Snap": 70417, - "这种问题": 70418, - "具有较高的": 70419, - "splice": 70420, - 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"江海": 70702, - "点开": 70703, - "球星": 70704, - "RIC": 70705, - "beh": 70706, - "▁Vie": 70707, - "行政部门": 70708, - "▁Malt": 70709, - "nAsked": 70710, - "nDepartment": 70711, - "▁proteolytic": 70712, - "▁approximated": 70713, - "更佳": 70714, - "西宁": 70715, - "aqu": 70716, - "▁Cz": 70717, - "外星人": 70718, - "工作组": 70719, - "时间去": 70720, - "但是没有": 70721, - "在不同的": 70722, - "显着高于": 70723, - "服务器的": 70724, - "这组数据": 70725, - "tunsigned": 70726, - "▁interoper": 70727, - "tE": 70728, - "中生": 70729, - "我更": 70730, - "普罗": 70731, - "涂装": 70732, - "喜欢上": 70733, - "auty": 70734, - "mere": 70735, - "nDave": 70736, - "nEric": 70737, - "▁thirst": 70738, - "dimethyl": 70739, - "又好": 70740, - "吃掉": 70741, - "过失": 70742, - "▁Cp": 70743, - "Bron": 70744, - "▁Xin": 70745, - "▁Kant": 70746, - "如下文所示": 70747, - "▁Anthrop": 70748, - "▁spectators": 70749, - "乡长": 70750, - "滑坡": 70751, - "苍茫": 70752, - "▁iç": 70753, - "塑料袋": 70754, - "定义在": 70755, - "管理等": 70756, - "nNet": 70757, - "trees": 70758, - "▁café": 70759, - "▁Vault": 70760, - "▁rains": 70761, - "▁oblique": 70762, - "▁HttpServlet": 70763, - "不以": 70764, - "之都": 70765, - "当下的": 70766, - "新模式": 70767, - "循序渐进": 70768, - "nemail": 70769, - "Makefile": 70770, - "checksum": 70771, - "erequisites": 70772, - "▁健": 70773, - "下颌": 70774, - "书生": 70775, - "分析仪": 70776, - "在欧洲": 70777, - "委党校": 70778, - "LICK": 70779, - "▁IPO": 70780, - "▁Zam": 70781, - "冻结被告": 70782, - "积极作用": 70783, - "nBrian": 70784, - "▁Choir": 70785, - "▁sided": 70786, - "ObjectId": 70787, - "Tokenizer": 70788, - "左键": 70789, - "贪婪": 70790, - "逆向": 70791, - "▁医院": 70792, - "不住了": 70793, - "乐山市": 70794, - "打不过": 70795, - "▁Vod": 70796, - "▁pav": 70797, - "以为自己": 70798, - "分析步骤": 70799, - "等农作物": 70800, - "▁slit": 70801, - "做一个选择题": 70802, - "printer": 70803, - "▁剑": 70804, - "上当": 70805, - "伴奏": 70806, - "抓取": 70807, - "十九年": 70808, - "byshev": 70809, - "ingles": 70810, - "▁graphite": 70811, - "▁clipboard": 70812, - "▁emphasizing": 70813, - "≤\\": 70814, - "岳麓": 70815, - "木工": 70816, - "CBA": 70817, - "收入的": 70818, - "邢台市": 70819, - "▁Lor": 70820, - "是单选题": 70821, - "▁Dust": 70822, - "EMPLARY": 70823, - "▁feathers": 70824, - "ào": 70825, - "寄存": 70826, - "布料": 70827, - "悠然": 70828, - "我行": 70829, - "河边": 70830, - "达拉": 70831, - "不对称": 70832, - "体积是": 70833, - "▁agr": 70834, - "▁IDEA": 70835, - "nLiter": 70836, - "▁gears": 70837, - "▁Houses": 70838, - "▁trimmed": 70839, - "▁standpoint": 70840, - "揭牌": 70841, - "felt": 70842, - "身体素质": 70843, - "▁whip": 70844, - "verses": 70845, - "▁shutter": 70846, - "intensive": 70847, - "validated": 70848, - "▁warrants": 70849, - "▁defendants": 70850, - "为谁": 70851, - "划线": 70852, - "妈咪": 70853, - "足协": 70854, - "题名": 70855, - "lei": 70856, - "sinA": 70857, - "▁${{\\\\": 70858, - "悔改表现突出": 70859, - "patible": 70860, - "▁bassist": 70861, - "▁å": 70862, - "网易云音乐": 70863, - "▁Volvo": 70864, - "nMobile": 70865, - "▁免费洗浴用品": 70866, - "elligence": 70867, - "何在": 70868, - "毅力": 70869, - "畏惧": 70870, - "总承包": 70871, - "用除法": 70872, - "的局面": 70873, - "defs": 70874, - "icom": 70875, - "nOUT": 70876, - "nost": 70877, - "nthese": 70878, - "rights": 70879, - "▁Clerk": 70880, - "nExercise": 70881, - "nSynopsis": 70882, - "▁optionally": 70883, - "▁silhouette": 70884, - "▁recommending": 70885, - "不回": 70886, - "心血": 70887, - "所著": 70888, - "是哪": 70889, - "神经元": 70890, - "Chief": 70891, - "centos": 70892, - "这道题是单选题": 70893, - "请你做一个选择题": 70894, - "请你选出正确的选项": 70895, - "▁shipments": 70896, - "问题和选项如下文所示": 70897, - "▁Arithmetic": 70898, - "悲惨": 70899, - "找寻": 70900, - "素的": 70901, - "虚空": 70902, - "pep": 70903, - "tand": 70904, - "uckle": 70905, - "Despite": 70906, - "allocate": 70907, - "▁optimally": 70908, - "▁verifying": 70909, - "史学": 70910, - "竹马": 70911, - "件事情": 70912, - "的热爱": 70913, - "\\'\",": 70914, - "orna": 70915, - "全面推进": 70916, - "nWait": 70917, - "imilar": 70918, - "nMuseum": 70919, - "▁disciples": 70920, - "▁demolition": 70921, - "江门": 70922, - "调速": 70923, - "▁pits": 70924, - "exposure": 70925, - "▁reimbursement": 70926, - "天蝎": 70927, - "扫黑": 70928, - "遴选": 70929, - "▁rut": 70930, - "nsign": 70931, - "这是一个涉及": 70932, - "▁cassette": 70933, - "了很久": 70934, - "将达到": 70935, - "STAR": 70936, - "acom": 70937, - "建立一个": 70938, - "艺术设计": 70939, - "▁vesicle": 70940, - "▁POSSIBILITY": 70941, - "川市": 70942, - "nAbs": 70943, - "就是我们": 70944, - "▁calendars": 70945, - "▁butterflies": 70946, - "伤寒": 70947, - "特价": 70948, - "眉头": 70949, - "骑车": 70950, - "Esc": 70951, - "我都会": 70952, - "lain": 70953, - "分析并从": 70954, - "yzing": 70955, - "▁Laud": 70956, - "▁fantas": 70957, - "userInfo": 70958, - "▁locating": 70959, - "▁descriptors": 70960, - "▁progenitors": 70961, - "▁RX": 70962, - "赡养费": 70963, - "Sense": 70964, - "故意杀人罪": 70965, - "▁knives": 70966, - "biological": 70967, - "▁Berkshire": 70968, - "▁conjugates": 70969, - "▁inclination": 70970, - "▁subprojects": 70971, - "▁春": 70972, - "扰乱": 70973, - "睁开": 70974, - "虫子": 70975, - "BMP": 70976, - "MAR": 70977, - "人员和": 70978, - "文学奖": 70979, - "管理水平": 70980, - "asers": 70981, - "ronics": 70982, - "▁CMake": 70983, - "▁stark": 70984, - "▁Corpus": 70985, - "▁Sodium": 70986, - "四章": 70987, - "泰兴": 70988, - "纤细": 70989, - ":],": 70990, - "年上海": 70991, - "示意图": 70992, - "等其他": 70993, - "结构与": 70994, - "信息的选择题": 70995, - "给定的选项中": 70996, - "▁Tucson": 70997, - "您需要分析并从": 70998, - "▁QString": 70999, - "请仔细研究以下问题": 71000, - "综合运用各种信息的选择题": 71001, - "您需要分析并从给定的选项中": 71002, - "▁'$": 71003, - "与我们": 71004, - "UBLE": 71005, - "▁bye": 71006, - "候选答案": 71007, - "基本参数": 71008, - "说法错误": 71009, - "进一步的": 71010, - "▁Khal": 71011, - "▁Gabri": 71012, - "▁tossed": 71013, - "▁congest": 71014, - "preferences": 71015, - "▁cybersecurity": 71016, - "鸭子": 71017, - "▁[/": 71018, - "Proof": 71019, - "nMaking": 71020, - "setData": 71021, - "▁generosity": 71022, - "▁integrative": 71023, - "▁HY": 71024, - "压力大": 71025, - "▁Bam": 71026, - "伟大复兴": 71027, - "感兴趣的": 71028, - "抽样调查": 71029, - "▁bakery": 71030, - "nAlgebra": 71031, - "TypeError": 71032, - "▁WebSocket": 71033, - "▁embracing": 71034, - "物业管理有限责任公司": 71035, - "▁counterexample": 71036, - "苏丹": 71037, - "Sig": 71038, - "[{\"": 71039, - "▁名称": 71040, - "▁EMS": 71041, - "交通工具": 71042, - "目前没有": 71043, - "ifera": 71044, - "often": 71045, - "下面我会给你": 71046, - "的撤诉申请符合法律规定": 71047, - "▁peroxidation": 71048, - "匠心": 71049, - "防潮": 71050, - "GSM": 71051, - "只是个": 71052, - "的方案": 71053, - "urse": 71054, - "中山大学": 71055, - "whole": 71056, - "请你仔细分析": 71057, - "irected": 71058, - "▁Icelandic": 71059, - "微小": 71060, - "筹集": 71061, - "▁最新": 71062, - "如果想要": 71063, - "▁golfers": 71064, - "以及几个候选答案": 71065, - "▁overdose": 71066, - "下面我会给你一道题": 71067, - "然后选出正确的选项": 71068, - "▁counselor": 71069, - "▁marriages": 71070, - "打发": 71071, - "贪心": 71072, - "输血": 71073, - "黑板": 71074, - "Hyp": 71075, - "bla": 71076, - "rne": 71077, - "可以给": 71078, - "衢州市": 71079, - "过来了": 71080, - "重生之": 71081, - "Strip": 71082, - "ulton": 71083, - "yssey": 71084, - "▁Mons": 71085, - "▁manic": 71086, - "uttgart": 71087, - "▁comorbidities": 71088, - "jr": 71089, - 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"典": 72646, - "询": 72647, - "贷": 72648, - "拿": 72649, - "针": 72650, - "�": 72651, - "梦": 72652, - "损": 72653, - "谁": 72654, - "洗": 72655, - "页": 72656, - "牛": 72657, - "似": 72658, - "荣": 72659, - "鱼": 72660, - "偿": 72661, - "退": 72662, - "田": 72663, - "停": 72664, - "冷": 72665, - "沙": 72666, - "丝": 72667, - "衣": 72668, - "笑": 72669, - "抗": 72670, - "吉": 72671, - "街": 72672, - "革": 72673, - "守": 72674, - "餐": 72675, - "库": 72676, - "追": 72677, - "毛": 72678, - "绿": 72679, - "缺": 72680, - "汽": 72681, - "稳": 72682, - "久": 72683, - "距": 72684, - "秋": 72685, - "吴": 72686, - "植": 72687, - "港": 72688, - "讨": 72689, - "刻": 72690, - "探": 72691, - "静": 72692, - "杂": 72693, - "и": 72694, - "延": 72695, - "座": 72696, - "亿": 72697, - "浙": 72698, - "液": 72699, - "酸": 72700, - "紧": 72701, - "宜": 72702, - "启": 72703, - "夏": 72704, - "亮": 72705, - "峰": 72706, - "穿": 72707, - "父": 72708, - "招": 72709, - "射": 72710, - "签": 72711, - "胜": 72712, - "童": 72713, - "拍": 72714, - "‐": 72715, - "顾": 72716, - "闻": 72717, - "藏": 72718, - "怀": 72719, - "佳": 72720, - "尚": 72721, - "á": 72722, - "固": 72723, - "堂": 72724, - "税": 72725, - "赵": 72726, - "钢": 72727, - "染": 72728, - "句": 72729, - "债": 72730, - "蛋": 72731, - "豆": 72732, - "障": 72733, - "雪": 72734, - "误": 72735, - "倍": 72736, - "症": 72737, - "授": 72738, - "危": 72739, - "径": 72740, - "骨": 72741, - "慢": 72742, - "‘": 72743, - "靠": 72744, - "航": 72745, - "斗": 72746, - "谈": 72747, - "址": 72748, - "欧": 72749, - "唐": 72750, - "冲": 72751, - "轮": 72752, - "届": 72753, - "陆": 72754, - "杀": 72755, - "熟": 72756, - "胡": 72757, - "烟": 72758, - "篇": 72759, - "拥": 72760, - "н": 72761, - "т": 72762, - "∴": 72763, - "尼": 72764, - "乎": 72765, - "孙": 72766, - "聚": 72767, - "散": 72768, - "徐": 72769, - "叫": 72770, - "礼": 72771, - "伟": 72772, - "鸡": 72773, - "架": 72774, - "苦": 72775, - "痛": 72776, - "」": 72777, - "卷": 72778, - "威": 72779, - "甚": 72780, - "「": 72781, - "茶": 72782, - "违": 72783, - "阅": 72784, - "乘": 72785, - "阶": 72786, - "岛": 72787, - "涉": 72788, - "顶": 72789, - "桥": 72790, - "硬": 72791, - "竞": 72792, - "°": 72793, - "洲": 72794, - "圈": 72795, - "鲜": 72796, - "籍": 72797, - "递": 72798, - "透": 72799, - "急": 72800, - "剂": 72801, - "驾": 72802, - "促": 72803, - "君": 72804, - "著": 72805, - "徒": 72806, - "派": 72807, - "兵": 72808, - "倒": 72809, - "屋": 72810, - "疫": 72811, - "献": 72812, - "梅": 72813, - "媒": 72814, - "雷": 72815, - "糖": 72816, - "饮": 72817, - "哥": 72818, - "辆": 72819, - "绩": 72820, - "饭": 72821, - "津": 72822, - "驶": 72823, - "汇": 72824, - "鉴": 72825, - "辑": 72826, - "席": 72827, - "努": 72828, - "宽": 72829, - "盖": 72830, - "ó": 72831, - "亦": 72832, - "韩": 72833, - "休": 72834, - "净": 72835, - "竟": 72836, - "订": 72837, - "午": 72838, - "册": 72839, - "攻": 72840, - "仍": 72841, - "晓": 72842, - "混": 72843, - "奥": 72844, - "折": 72845, - "冰": 72846, - "摄": 72847, - "野": 72848, - "颜": 72849, - "箱": 72850, - "舞": 72851, - "访": 72852, - "迎": 72853, - "饰": 72854, - "厅": 72855, - "虑": 72856, - "仪": 72857, - "救": 72858, - "详": 72859, - "缓": 72860, - "奶": 72861, - "翻": 72862, - "脱": 72863, - "荐": 72864, - "镜": 72865, - "露": 72866, - "纸": 72867, - "р": 72868, - "郑": 72869, - "雄": 72870, - "贸": 72871, - "扬": 72872, - "疑": 72873, - "朱": 72874, - "租": 72875, - "宫": 72876, - "盛": 72877, - "幸": 72878, - "冠": 72879, - "徽": 72880, - "怕": 72881, - "屏": 72882, - "牙": 72883, - "掉": 72884, - "督": 72885, - "灯": 72886, - "趣": 72887, - "池": 72888, - "侧": 72889, - "困": 72890, - "惠": 72891, - "乙": 72892, - "逐": 72893, - "储": 72894, - "拟": 72895, - "脸": 72896, - "鲁": 72897, - "跑": 72898, - "齐": 72899, - "轴": 72900, - "私": 72901, - "楚": 72902, - "虚": 72903, - "避": 72904, - "阴": 72905, - "措": 72906, - "旧": 72907, - "弹": 72908, - "纯": 72909, - "с": 72910, - "既": 72911, - "央": 72912, - "湾": 72913, - "脚": 72914, - "庄": 72915, - "陪": 72916, - "润": 72917, - "董": 72918, - "蒙": 72919, - "洋": 72920, - "肥": 72921, - "讯": 72922, - "宗": 72923, - "累": 72924, - "í": 72925, - "伴": 72926, - "泰": 72927, - "唱": 72928, - "触": 72929, - "蓝": 72930, - "佛": 72931, - "描": 72932, - "魔": 72933, - "幕": 72934, - "炎": 72935, - "扣": 72936, - "昌": 72937, - "欠": 72938, - "妻": 72939, - "恶": 72940, - "链": 72941, - "掌": 72942, - "遗": 72943, - "疾": 72944, - "姐": 72945, - "挥": 72946, - "仙": 72947, - "丁": 72948, - "麻": 72949, - "÷": 72950, - "贴": 72951, - "扩": 72952, - "肤": 72953, - "途": 72954, - "寻": 72955, - "寒": 72956, - "握": 72957, - "诊": 72958, - "狱": 72959, - "α": 72960, - "敏": 72961, - "π": 72962, - "械": 72963, - "雅": 72964, - "梁": 72965, - "押": 72966, - "浪": 72967, - "漫": 72968, - "勇": 72969, - "渐": 72970, - "盐": 72971, - "瑞": 72972, - "秘": 72973, - "末": 72974, - "皇": 72975, - "估": 72976, - "耳": 72977, - "肯": 72978, - "菌": 72979, - "束": 72980, - "抓": 72981, - "隐": 72982, - "帝": 72983, - "爆": 72984, - "厚": 72985, - "悔": 72986, - "坏": 72987, - "圣": 72988, - "胞": 72989, - "挑": 72990, - "泉": 72991, - "冻": 72992, - "胶": 72993, - "惊": 72994, - "矿": 72995, - "档": 72996, - "冬": 72997, - "偏": 72998, - "巨": 72999, - "旗": 73000, - "杰": 73001, - "烈": 73002, - "迷": 73003, - "塔": 73004, - "刷": 73005, - "弟": 73006, - "幼": 73007, - "乱": 73008, - "账": 73009, - "丹": 73010, - "莫": 73011, - "隔": 73012, - "锅": 73013, - "洁": 73014, - "洪": 73015, - "膜": 73016, - "睡": 73017, - "烧": 73018, - "映": 73019, - "缘": 73020, - "в": 73021, - "甘": 73022, - "缩": 73023, - "励": 73024, - "暖": 73025, - "弃": 73026, - "遍": 73027, - "诚": 73028, - "搭": 73029, - "汤": 73030, - "宇": 73031, - "暴": 73032, - "尤": 73033, - "ü": 73034, - "振": 73035, - "刺": 73036, - "滑": 73037, - "寸": 73038, - "ä": 73039, - "恢": 73040, - "搜": 73041, - "巧": 73042, - "沉": 73043, - "±": 73044, - "抽": 73045, - "盟": 73046, - "凤": 73047, - "爸": 73048, - "览": 73049, - "嘉": 73050, - "郭": 73051, - "尺": 73052, - "龄": 73053, - "～": 73054, - "耐": 73055, - "珠": 73056, - "沈": 73057, - "践": 73058, - "恩": 73059, - "窗": 73060, - "辉": 73061, - "л": 73062, - "尾": 73063, - "咨": 73064, - "败": 73065, - "船": 73066, - "裂": 73067, - "脉": 73068, - "舒": 73069, - "森": 73070, - "晋": 73071, - "谷": 73072, - "恋": 73073, - "禁": 73074, - "添": 73075, - "偶": 73076, - "贝": 73077, - "圳": 73078, - "乌": 73079, - "邮": 73080, - "洛": 73081, - "亡": 73082, - "湿": 73083, - "污": 73084, - "伊": 73085, - "毫": 73086, - "幅": 73087, - "衡": 73088, - "暂": 73089, - "醒": 73090, - "残": 73091, - "懂": 73092, - "忘": 73093, - "跳": 73094, - "诺": 73095, - "ö": 73096, - "返": 73097, - "孔": 73098, - "焦": 73099, - "沟": 73100, - "默": 73101, - "辩": 73102, - "妇": 73103, - "杯": 73104, - "插": 73105, - "宿": 73106, - "横": 73107, - "弱": 73108, - "狗": 73109, - "溪": 73110, - "泽": 73111, - "辅": 73112, - "怪": 73113, - "岩": 73114, - "刀": 73115, - "缴": 73116, - "译": 73117, - "拼": 73118, - "忆": 73119, - "欲": 73120, - "辖": 73121, - "呈": 73122, - "岗": 73123, - "妹": 73124, - "暗": 73125, - "摩": 73126, - "塞": 73127, - "截": 73128, - "敢": 73129, - "喝": 73130, - "阵": 73131, - "挂": 73132, - "祖": 73133, - "仔": 73134, - "к": 73135, - "忠": 73136, - "紫": 73137, - "唯": 73138, - "剑": 73139, - "塑": 73140, - "伦": 73141, - "贫": 73142, - "猫": 73143, - "泛": 73144, - "肌": 73145, - "闭": 73146, - "呼": 73147, - "脂": 73148, - "淡": 73149, - "潮": 73150, - "繁": 73151, - "磨": 73152, - "恒": 73153, - "泡": 73154, - "迟": 73155, - "浓": 73156, - "舍": 73157, - "仁": 73158, - "猪": 73159, - "拒": 73160, - "震": 73161, - "芳": 73162, - "尘": 73163, - "氧": 73164, - "厘": 73165, - "闲": 73166, - "麦": 73167, - "谓": 73168, - "尊": 73169, - "抚": 73170, - "墙": 73171, - "殊": 73172, - "盗": 73173, - "伙": 73174, - "鼓": 73175, - "寿": 73176, - "兼": 73177, - "阻": 73178, - "涨": 73179, - "竹": 73180, - "亩": 73181, - "珍": 73182, - "杭": 73183, - "宏": 73184, - "虫": 73185, - "幻": 73186, - "挺": 73187, - "桃": 73188, - "搞": 73189, - "填": 73190, - "桂": 73191, - "遵": 73192, - "凭": 73193, - "赞": 73194, - "慧": 73195, - "赔": 73196, - "凝": 73197, - "惯": 73198, - "券": 73199, - "誉": 73200, - "苗": 73201, - "迪": 73202, - "聊": 73203, - "凡": 73204, - "辽": 73205, - "锁": 73206, - "侵": 73207, - "抵": 73208, - "隆": 73209, - "燕": 73210, - "陕": 73211, - "虎": 73212, - "啥": 73213, - "凉": 73214, - "肠": 73215, - "晶": 73216, - "刊": 73217, - "粒": 73218, - "杜": 73219, - "贯": 73220, - "迹": 73221, - "宾": 73222, - "秦": 73223, - "豪": 73224, - "乳": 73225, - "循": 73226, - "废": 73227, - "洞": 73228, - "柱": 73229, - "诸": 73230, - "祥": 73231, - "锦": 73232, - "羊": 73233, - "彻": 73234, - "鼠": 73235, - "召": 73236, - "≤": 73237, - "抱": 73238, - "薄": 73239, - "壁": 73240, - "顿": 73241, - "戴": 73242, - "腾": 73243, - "岸": 73244, - "泥": 73245, - "甜": 73246, - "浮": 73247, - "腹": 73248, - "铺": 73249, - "谱": 73250, - "仓": 73251, - "仲": 73252, - "剩": 73253, - "潜": 73254, - "抢": 73255, - "艳": 73256, - "锋": 73257, - "趋": 73258, - "莱": 73259, - "尿": 73260, - "瓜": 73261, - "涂": 73262, - "д": 73263, - "勤": 73264, - "柔": 73265, - "绕": 73266, - "沿": 73267, - "伯": 73268, - "腐": 73269, - "催": 73270, - "炒": 73271, - "ç": 73272, - "柳": 73273, - "啦": 73274, - "墨": 73275, - "唤": 73276, - "煤": 73277, - "赢": 73278, - "の": 73279, - "琴": 73280, - "俄": 73281, - "扫": 73282, - "吹": 73283, - "耗": 73284, - "替": 73285, - "姜": 73286, - "枝": 73287, - "赏": 73288, - "朗": 73289, - "燃": 73290, - "娱": 73291, - "井": 73292, - "伍": 73293, - "夺": 73294, - "灰": 73295, - "俗": 73296, - "旋": 73297, - "萨": 73298, - "遭": 73299, - "扶": 73300, - "鸟": 73301, - "寄": 73302, - "肝": 73303, - "滨": 73304, - "纹": 73305, - "壮": 73306, - "氏": 73307, - "−": 73308, - "爷": 73309, - "祝": 73310, - "м": 73311, - "∵": 73312, - "姓": 73313, - "灾": 73314, - "肿": 73315, - "辛": 73316, - "灭": 73317, - "瓦": 73318, - "驱": 73319, - "醉": 73320, - "敬": 73321, - "俊": 73322, - "凯": 73323, - "瓣": 73324, - "恐": 73325, - "悉": 73326, - "曹": 73327, - "孤": 73328, - "п": 73329, - "陵": 73330, - "署": 73331, - "碎": 73332, - "癌": 73333, - "炼": 73334, - "捷": 73335, - "秒": 73336, - "β": 73337, - "荷": 73338, - "敌": 73339, - "跨": 73340, - "烦": 73341, - "喷": 73342, - "胃": 73343, - "狂": 73344, - "迁": 73345, - "腰": 73346, - "倾": 73347, - "绪": 73348, - "贡": 73349, - "陶": 73350, - "奋": 73351, - "驳": 73352, - "绘": 73353, - "澳": 73354, - "魂": 73355, - "忙": 73356, - "坛": 73357, - "迅": 73358, - "邀": 73359, - "覆": 73360, - "厦": 73361, - "孕": 73362, - "忽": 73363, - "瓶": 73364, - "浦": 73365, - "拓": 73366, - "骗": 73367, - "嫌": 73368, - "硕": 73369, - "晨": 73370, - "肺": 73371, - "袋": 73372, - "颗": 73373, - "殖": 73374, - "垂": 73375, - "腿": 73376, - "莲": 73377, - "赖": 73378, - "芯": 73379, - "鬼": 73380, - "纵": 73381, - "赋": 73382, - "铜": 73383, - "携": 73384, - "窃": 73385, - "у": 73386, - "桌": 73387, - "扎": 73388, - "娘": 73389, - "ã": 73390, - "鞋": 73391, - "赶": 73392, - "霞": 73393, - "嘴": 73394, - "韵": 73395, - "吨": 73396, - "婆": 73397, - "拔": 73398, - "坡": 73399, - "欣": 73400, - "勒": 73401, - "仿": 73402, - "摆": 73403, - "肖": 73404, - "邻": 73405, - "涛": 73406, - "辞": 73407, - "忍": 73408, - "纤": 73409, - "脏": 73410, - "串": 73411, - "粮": 73412, - "坦": 73413, - "驻": 73414, - "逃": 73415, - "尖": 73416, - "宅": 73417, - "胸": 73418, - "炸": 73419, - "堆": 73420, - "旁": 73421, - "逆": 73422, - "哦": 73423, - "胎": 73424, - "曼": 73425, - "悲": 73426, - "凌": 73427, - "è": 73428, - "赚": 73429, - "跌": 73430, - "姆": 73431, - "栏": 73432, - "→": 73433, - "艾": 73434, - "犹": 73435, - "疼": 73436, - "尝": 73437, - "枪": 73438, - "苹": 73439, - "貌": 73440, - "陷": 73441, - "盾": 73442, - "à": 73443, - "寺": 73444, - "辨": 73445, - "浩": 73446, - "拖": 73447, - "妙": 73448, - "魏": 73449, - "泪": 73450, - "旦": 73451, - "姻": 73452, - "炉": 73453, - "湘": 73454, - "斜": 73455, - "鼻": 73456, - "穷": 73457, - "肃": 73458, - "拘": 73459, - "漏": 73460, - "夹": 73461, - "滴": 73462, - "筹": 73463, - "宠": 73464, - "浴": 73465, - "磁": 73466, - "妆": 73467, - "援": 73468, - "£": 73469, - "∈": 73470, - "胆": 73471, - "昆": 73472, - "抑": 73473, - "拆": 73474, - "椒": 73475, - "岭": 73476, - "辈": 73477, - "跃": 73478, - "璃": 73479, - "ı": 73480, - "拜": 73481, - "辣": 73482, - "腔": 73483, - "轨": 73484, - "惜": 73485, - "俱": 73486, - "兄": 73487, - "溶": 73488, - "浅": 73489, - "玻": 73490, - "割": 73491, - "齿": 73492, - "骑": 73493, - "卢": 73494, - "役": 73495, - "哲": 73496, - "畅": 73497, - "羽": 73498, - "蔡": 73499, - "框": 73500, - "幽": 73501, - "谋": 73502, - "奉": 73503, - "黎": 73504, - "耀": 73505, - "奏": 73506, - "玲": 73507, - "稿": 73508, - "聘": 73509, - "疏": 73510, - "冒": 73511, - "疆": 73512, - "抛": 73513, - "摸": 73514, - "瘤": 73515, - "梯": 73516, - "闪": 73517, - "迫": 73518, - "渠": 73519, - "逼": 73520, - "贤": 73521, - "菲": 73522, - "剪": 73523, - "杆": 73524, - "鹏": 73525, - "鸣": 73526, - "壳": 73527, - "伸": 73528, - "滤": 73529, - "涵": 73530, - "允": 73531, - "①": 73532, - "蒸": 73533, - "乏": 73534, - "逾": 73535, - "纲": 73536, - "卓": 73537, - "睛": 73538, - "玄": 73539, - "邦": 73540, - "吐": 73541, - "骤": 73542, - "粗": 73543, - "熊": 73544, - "亭": 73545, - "匀": 73546, - "删": 73547, - "煮": 73548, - "鸿": 73549, - "碳": 73550, - "彭": 73551, - "哭": 73552, - "昨": 73553, - "烤": 73554, - "兽": 73555, - "μ": 73556, - "摇": 73557, - "偷": 73558, - "蜜": 73559, - "斤": 73560, - "郁": 73561, - "盈": 73562, - "番": 73563, - "岳": 73564, - "赠": 73565, - "ا": 73566, - "я": 73567, - "②": 73568, - "愈": 73569, - "捕": 73570, - "舟": 73571, - "翠": 73572, - "赤": 73573, - "肾": 73574, - "谐": 73575, - "稍": 73576, - "孟": 73577, - "碰": 73578, - "弄": 73579, - "乔": 73580, - "娜": 73581, - "盒": 73582, - "锡": 73583, - "呀": 73584, - "碧": 73585, - "佩": 73586, - "邓": 73587, - "淮": 73588, - "吕": 73589, - "扰": 73590, - "遥": 73591, - "滚": 73592, - "斑": 73593, - "郎": 73594, - "伏": 73595, - "冯": 73596, - "侯": 73597, - "荒": 73598, - "漂": 73599, - "耕": 73600, - "帅": 73601, - "槽": 73602, - "厨": 73603, - "丛": 73604, - "′": 73605, - "粘": 73606, - "旨": 73607, - "®": 73608, - "皆": 73609, - "螺": 73610, - "篮": 73611, - "薪": 73612, - "柜": 73613, - "碍": 73614, - "爽": 73615, - "酱": 73616, - "苍": 73617, - "撑": 73618, - "霸": 73619, - "囊": 73620, - "腺": 73621, - "眠": 73622, - "株": 73623, - "御": 73624, - "崇": 73625, - "灌": 73626, - "豫": 73627, - "踪": 73628, - "矛": 73629, - "巡": 73630, - "彼": 73631, - "乃": 73632, - "忧": 73633, - "斌": 73634, - "潘": 73635, - "弦": 73636, - "芝": 73637, - "卧": 73638, - "闹": 73639, - "牧": 73640, - "℃": 73641, - "袁": 73642, - "瓷": 73643, - "劲": 73644, - "奔": 73645, - "ー": 73646, - "渡": 73647, - "霜": 73648, - "氛": 73649, - "榜": 73650, - "寓": 73651, - "臣": 73652, - "衰": 73653, - "逻": 73654, - "淋": 73655, - "撞": 73656, - "з": 73657, - "桑": 73658, - "埃": 73659, - "鑫": 73660, - "醇": 73661, - "稀": 73662, - "砂": 73663, - "咖": 73664, - "恨": 73665, - "萧": 73666, - "沒": 73667, - "汁": 73668, - "烂": 73669, - "浏": 73670, - "雕": 73671, - "擦": 73672, - "挖": 73673, - "棒": 73674, - "骂": 73675, - "婴": 73676, - "贺": 73677, - "剥": 73678, - "砖": 73679, - "踏": 73680, - "矩": 73681, - "姑": 73682, - "坑": 73683, - "玛": 73684, - "滋": 73685, - "酷": 73686, - "吾": 73687, - "い": 73688, - "姚": 73689, - "悬": 73690, - "垃": 73691, - "雾": 73692, - "丙": 73693, - "圾": 73694, - "葡": 73695, - "钻": 73696, - "悠": 73697, - "侠": 73698, - "奈": 73699, - "廉": 73700, - "愁": 73701, - "─": 73702, - "羁": 73703, - "袭": 73704, - "ы": 73705, - "贾": 73706, - "莉": 73707, - "淘": 73708, - "嘛": 73709, - "堡": 73710, - "扮": 73711, - "葱": 73712, - "枚": 73713, - "摘": 73714, - "拨": 73715, - "匹": 73716, - "ь": 73717, - "缝": 73718, - "碑": 73719, - "蒋": 73720, - "ā": 73721, - "恰": 73722, - "眉": 73723, - "涯": 73724, - "に": 73725, - "≥": 73726, - "颈": 73727, - "拌": 73728, - "〉": 73729, - "塘": 73730, - "å": 73731, - "叔": 73732, - "毁": 73733, - "坊": 73734, - "夕": 73735, - "旺": 73736, - "飘": 73737, - "饱": 73738, - "芬": 73739, - "赁": 73740, - "诞": 73741, - "〈": 73742, - "萍": 73743, - "柏": 73744, - "饼": 73745, - "荡": 73746, - "汗": 73747, - "瘦": 73748, - "汪": 73749, - "栋": 73750, - "萝": 73751, - "る": 73752, - "蔬": 73753, - "б": 73754, - "棋": 73755, - "棉": 73756, - "悦": 73757, - "姿": 73758, - "浆": 73759, - "揭": 73760, - "朵": 73761, - "牵": 73762, - "丘": 73763, - "牢": 73764, - "を": 73765, - "厉": 73766, - "孝": 73767, - "卜": 73768, - "肩": 73769, - "丢": 73770, - "逢": 73771, - "锐": 73772, - "阁": 73773, - "鄂": 73774, - "萄": 73775, - "翼": 73776, - "诱": 73777, - "鹤": 73778, - "弯": 73779, - "し": 73780, - "堪": 73781, - "慎": 73782, - "∞": 73783, - "厌": 73784, - "搬": 73785, - "»": 73786, - "翔": 73787, - "θ": 73788, - "卵": 73789, - "盆": 73790, - "虾": 73791, - "颖": 73792, - "帧": 73793, - "阔": 73794, - "菊": 73795, - "悟": 73796, - "舰": 73797, - "傅": 73798, - "霍": 73799, - "慈": 73800, - "戒": 73801, - "拳": 73802, - "叠": 73803, - "茂": 73804, - "仰": 73805, - "糊": 73806, - "辰": 73807, - "怒": 73808, - "娃": 73809, - "淀": 73810, - "蒂": 73811, - "阀": 73812, - "啡": 73813, - "炮": 73814, - "殿": 73815, - "箭": 73816, - "鹿": 73817, - "稻": 73818, - "沃": 73819, - "虹": 73820, - "叉": 73821, - "兔": 73822, - "瞬": 73823, - "狼": 73824, - "扇": 73825, - "聪": 73826, - "た": 73827, - "晴": 73828, - "浸": 73829, - "鼎": 73830, - "壤": 73831, - "赫": 73832, - "廷": 73833, - "Ｘ": 73834, - "ú": 73835, - "妖": 73836, - "佐": 73837, - "绵": 73838, - "屈": 73839, - "糕": 73840, - "蓄": 73841, - "碗": 73842, - "崔": 73843, - "铝": 73844, - "亏": 73845, - "迈": 73846, - "庙": 73847, - "乾": 73848, - "墓": 73849, - "纽": 73850, - "韦": 73851, - "魅": 73852, - "吊": 73853, - "燥": 73854, - "泵": 73855, - "蜂": 73856, - "疯": 73857, - "渔": 73858, - "慕": 73859, - "葛": 73860, - "萌": 73861, - "﹣": 73862, - "柴": 73863, - "伪": 73864, - "赴": 73865, - "胖": 73866, - "猜": 73867, - "丈": 73868, - "酬": 73869, - "遂": 73870, - "怨": 73871, - "粤": 73872, - "袖": 73873, - "г": 73874, - "娟": 73875, - "坤": 73876, - "弘": 73877, - "と": 73878, - "痕": 73879, - "锻": 73880, - "晰": 73881, - "鸭": 73882, - "漆": 73883, - "晒": 73884, - "筋": 73885, - "纺": 73886, - "て": 73887, - "焊": 73888, - "挡": 73889, - "轩": 73890, - "й": 73891, - "栽": 73892, - "阐": 73893, - "で": 73894, - "帐": 73895, - "氨": 73896, - "馨": 73897, - "掘": 73898, - "垫": 73899, - "酶": 73900, - "ł": 73901, - "弗": 73902, - "咸": 73903, - "怜": 73904, - "叹": 73905, - "脾": 73906, - "③": 73907, - "逝": 73908, - "勾": 73909, - "裤": 73910, - "惑": 73911, - "柯": 73912, - "披": 73913, - "旭": 73914, - "©": 73915, - "呵": 73916, - "ل": 73917, - "â": 73918, - "谨": 73919, - "捐": 73920, - "泳": 73921, - "契": 73922, - "邪": 73923, - "俩": 73924, - "艰": 73925, - "翁": 73926, - "は": 73927, - "诈": 73928, - "罢": 73929, - "慰": 73930, - "撒": 73931, - "仇": 73932, - "ч": 73933, - "赌": 73934, - "惩": 73935, - "ン": 73936, - "滞": 73937, - "锈": 73938, - "宴": 73939, - "傻": 73940, - "筛": 73941, - "炭": 73942, - "劫": 73943, - "蛇": 73944, - "峡": 73945, - "な": 73946, - "ñ": 73947, - "琳": 73948, - "肪": 73949, - "吵": 73950, - "苑": 73951, - "桶": 73952, - "馈": 73953, - "兹": 73954, - "傲": 73955, - "彦": 73956, - "渗": 73957, - "薛": 73958, - "颁": 73959, - "谅": 73960, - "铭": 73961, - "渝": 73962, - "寂": 73963, - "抹": 73964, - "腻": 73965, - "琼": 73966, - "㈰": 73967, - "蚀": 73968, - "噪": 73969, - "胀": 73970, - "脆": 73971, - "饲": 73972, - "敦": 73973, - "吟": 73974, - "欺": 73975, - "挤": 73976, - "ø": 73977, - "磊": 73978, - "す": 73979, - "毅": 73980, - "逸": 73981, - "兆": 73982, - "帕": 73983, - "牲": 73984, - "咱": 73985, - "雁": 73986, - "爬": 73987, - "滩": 73988, - "∠": 73989, - "罩": 73990, - "―": 73991, - "尸": 73992, - "ć": 73993, - "š": 73994, - "懒": 73995, - "猎": 73996, - "卸": 73997, - "嫩": 73998, - "弥": 73999, - "●": 74000, - "陌": 74001, - "唿": 74002, - "穴": 74003, - "♪": 74004, - "が": 74005, - "丧": 74006, - "嫁": 74007, - "彰": 74008, - "铸": 74009, - "朴": 74010, - "惨": 74011, - "蝶": 74012, - "狐": 74013, - "忌": 74014, - "劣": 74015, - "擅": 74016, - "帽": 74017, - "搅": 74018, - "蓬": 74019, - "菇": 74020, - "丑": 74021, - "闽": 74022, - "丸": 74023, - "茫": 74024, - "娇": 74025, - "暑": 74026, - "冀": 74027, - "喊": 74028, - "椅": 74029, - "泄": 74030, - "潭": 74031, - "梨": 74032, - "埋": 74033, - "硅": 74034, - "邵": 74035, - "沧": 74036, - "蹈": 74037, - "伐": 74038, - "ă": 74039, - "寨": 74040, - "別": 74041, - "劝": 74042, - "이": 74043, - "耶": 74044, - "裕": 74045, - "渣": 74046, - "ê": 74047, - "谭": 74048, - "叙": 74049, - "宙": 74050, - "昂": 74051, - "靖": 74052, - "蒜": 74053, - "膏": 74054, - "疲": 74055, - "巾": 74056, - "婷": 74057, - "驰": 74058, - "坪": 74059, - "泌": 74060, - "芦": 74061, - "λ": 74062, - "纱": 74063, - "芽": 74064, - "彬": 74065, - "漠": 74066, - "扑": 74067, - "梗": 74068, - "翅": 74069, - "茅": 74070, - "瑶": 74071, - "庞": 74072, - "宪": 74073, - "暮": 74074, - "碱": 74075, - "岂": 74076, - "洒": 74077, - "贩": 74078, - "盲": 74079, - "淑": 74080, - "枣": 74081, - "筒": 74082, - "夸": 74083, - "扭": 74084, - "堵": 74085, - 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"恼": 74230, - "酵": 74231, - "幂": 74232, - "勿": 74233, - "缸": 74234, - "浑": 74235, - "榆": 74236, - "熬": 74237, - "薇": 74238, - "م": 74239, - "悄": 74240, - "旬": 74241, - "凰": 74242, - "舆": 74243, - "褐": 74244, - "冶": 74245, - "穗": 74246, - "④": 74247, - "勃": 74248, - "ま": 74249, - "撰": 74250, - "ω": 74251, - "缆": 74252, - "渴": 74253, - "ρ": 74254, - "ス": 74255, - "脊": 74256, - "猴": 74257, - "肇": 74258, - "惟": 74259, - "咳": 74260, - "祭": 74261, - "惧": 74262, - "溃": 74263, - "氯": 74264, - "绣": 74265, - "酌": 74266, - "氢": 74267, - "怡": 74268, - "锥": 74269, - "咽": 74270, - "汝": 74271, - "衔": 74272, - "郡": 74273, - "枕": 74274, - "痫": 74275, - "棱": 74276, - "巩": 74277, - "矫": 74278, - "醋": 74279, - "ト": 74280, - "廖": 74281, - "钮": 74282, - "祸": 74283, - "逮": 74284, - "吓": 74285, - "缠": 74286, - "贞": 74287, - "饶": 74288, - "隙": 74289, - "γ": 74290, - "枫": 74291, - "晕": 74292, - "妮": 74293, - "扁": 74294, - "冈": 74295, - "奴": 74296, - "か": 74297, - "ж": 74298, - "襄": 74299, - "²": 74300, - "趁": 74301, - 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"钉": 74374, - "尬": 74375, - "イ": 74376, - "珊": 74377, - "倚": 74378, - "刮": 74379, - "氮": 74380, - "愤": 74381, - "畏": 74382, - "侨": 74383, - "□": 74384, - "瑰": 74385, - "咪": 74386, - "و": 74387, - "屁": 74388, - "闯": 74389, - "奎": 74390, - "酿": 74391, - "龟": 74392, - "蕴": 74393, - "沸": 74394, - "琪": 74395, - "蜀": 74396, - "募": 74397, - "潇": 74398, - "睿": 74399, - "勋": 74400, - "膝": 74401, - "颠": 74402, - "ô": 74403, - "禽": 74404, - "ц": 74405, - "轰": 74406, - "狭": 74407, - "沾": 74408, - "σ": 74409, - "屯": 74410, - "甸": 74411, - "愧": 74412, - "敷": 74413, - "梳": 74414, - "厕": 74415, - "痘": 74416, - "喉": 74417, - "辟": 74418, - "ο": 74419, - "谦": 74420, - "锤": 74421, - "ī": 74422, - "烫": 74423, - "膀": 74424, - "玫": 74425, - "盼": 74426, - "湛": 74427, - "恭": 74428, - "羞": 74429, - "旱": 74430, - "竭": 74431, - "灿": 74432, - "庸": 74433, - "纬": 74434, - "菱": 74435, - "É": 74436, - "鲍": 74437, - "邢": 74438, - "侍": 74439, - "衷": 74440, - "卑": 74441, - "浇": 74442, - "颂": 74443, - "顷": 74444, - "宵": 74445, - "芹": 74446, - "茨": 74447, - "√": 74448, - "ž": 74449, - "는": 74450, - "虞": 74451, - "艇": 74452, - "烹": 74453, - "奢": 74454, - "粹": 74455, - "骚": 74456, - "糟": 74457, - "逛": 74458, - "ル": 74459, - "衫": 74460, - "泼": 74461, - "弧": 74462, - "崖": 74463, - "鳞": 74464, - "叛": 74465, - "铅": 74466, - "歇": 74467, - "¶": 74468, - "谣": 74469, - "邑": 74470, - "憾": 74471, - "杠": 74472, - "↑": 74473, - "烘": 74474, - "栓": 74475, - "勉": 74476, - "膨": 74477, - "裹": 74478, - "骄": 74479, - "屠": 74480, - "龚": 74481, - "栈": 74482, - "嗯": 74483, - "饿": 74484, - "斥": 74485, - "伞": 74486, - "爵": 74487, - "っ": 74488, - "芙": 74489, - "斩": 74490, - "杉": 74491, - "惹": 74492, - "俞": 74493, - "挪": 74494, - "虐": 74495, - "陀": 74496, - "祠": 74497, - "捉": 74498, - "姬": 74499, - "闫": 74500, - "하": 74501, - "佬": 74502, - "≠": 74503, - "枢": 74504, - "Δ": 74505, - "う": 74506, - "甫": 74507, - "乖": 74508, - "屡": 74509, - "ら": 74510, - "熔": 74511, - "弓": 74512, - "踢": 74513, - "誓": 74514, - "尴": 74515, - "ت": 74516, - "镀": 74517, - 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"り": 74590, - "倪": 74591, - "奸": 74592, - "橘": 74593, - "炖": 74594, - "堤": 74595, - "锂": 74596, - "喘": 74597, - "卒": 74598, - "ю": 74599, - "寞": 74600, - "倩": 74601, - "蜡": 74602, - "禄": 74603, - "潍": 74604, - "祁": 74605, - "ū": 74606, - "匿": 74607, - "尧": 74608, - "刹": 74609, - "仗": 74610, - "闺": 74611, - "κ": 74612, - "ク": 74613, - "屑": 74614, - "로": 74615, - "雌": 74616, - "棕": 74617, - "φ": 74618, - "æ": 74619, - "巅": 74620, - "禾": 74621, - "을": 74622, - "槛": 74623, - "さ": 74624, - "肆": 74625, - "傍": 74626, - "د": 74627, - "ι": 74628, - "´": 74629, - "焰": 74630, - "ш": 74631, - "窑": 74632, - "啤": 74633, - "凹": 74634, - "莓": 74635, - "媚": 74636, - "≈": 74637, - "婉": 74638, - "霄": 74639, - "伽": 74640, - "昊": 74641, - "痒": 74642, - "沁": 74643, - "琦": 74644, - "氟": 74645, - "塌": 74646, - "舶": 74647, - "慨": 74648, - "绎": 74649, - "仑": 74650, - "溯": 74651, - "ب": 74652, - "盯": 74653, - "韶": 74654, - "荔": 74655, - "澡": 74656, - "拦": 74657, - "畔": 74658, - "愚": 74659, - "疹": 74660, - "亨": 74661, - "媛": 74662, - "倦": 74663, - "ß": 74664, - "胰": 74665, - "矣": 74666, - "涩": 74667, - "硝": 74668, - "リ": 74669, - "揽": 74670, - "讽": 74671, - "疮": 74672, - "ラ": 74673, - "堰": 74674, - "〔": 74675, - "ッ": 74676, - "佣": 74677, - "渭": 74678, - "〕": 74679, - "∩": 74680, - "ą": 74681, - "가": 74682, - "痰": 74683, - "垒": 74684, - "鞭": 74685, - "娥": 74686, - "媳": 74687, - "涡": 74688, - "匪": 74689, - "閒": 74690, - "嘿": 74691, - "″": 74692, - "挫": 74693, - "竖": 74694, - "贮": 74695, - "淳": 74696, - "漳": 74697, - "阮": 74698, - "顽": 74699, - "酥": 74700, - "畴": 74701, - "腕": 74702, - "岚": 74703, - "钝": 74704, - "烛": 74705, - "＼": 74706, - "拱": 74707, - "С": 74708, - "爪": 74709, - "õ": 74710, - "耍": 74711, - "呜": 74712, - "凄": 74713, - "舱": 74714, - "揉": 74715, - "矮": 74716, - "柠": 74717, - "Ⅱ": 74718, - "＊": 74719, - "炳": 74720, - "啼": 74721, - "荧": 74722, - "蛛": 74723, - "魄": 74724, - "蚕": 74725, - "骏": 74726, - "诀": 74727, - "笛": 74728, - "卉": 74729, - "晃": 74730, - "汀": 74731, - "勐": 74732, - "한": 74733, - 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"竣": 75094, - "趟": 75095, - "峨": 75096, - "渲": 75097, - "ロ": 75098, - "晏": 75099, - "瞳": 75100, - "贿": 75101, - "渍": 75102, - "吼": 75103, - "逍": 75104, - "蚂": 75105, - "哮": 75106, - "▼": 75107, - "Á": 75108, - "蘑": 75109, - "枸": 75110, - "剔": 75111, - "Д": 75112, - "‰": 75113, - "簿": 75114, - "铲": 75115, - "镶": 75116, - "搓": 75117, - "梵": 75118, - "스": 75119, - "ˋ": 75120, - "坞": 75121, - "嵩": 75122, - "哄": 75123, - "乍": 75124, - "茹": 75125, - "惕": 75126, - "叮": 75127, - "鲸": 75128, - "ς": 75129, - "汾": 75130, - "凿": 75131, - "娅": 75132, - "飙": 75133, - "盏": 75134, - "竿": 75135, - "嗜": 75136, - "К": 75137, - "麓": 75138, - "帷": 75139, - "け": 75140, - "어": 75141, - "喇": 75142, - "汛": 75143, - "诏": 75144, - "鄙": 75145, - "坟": 75146, - "│": 75147, - "⩽": 75148, - "瘫": 75149, - "楷": 75150, - "岐": 75151, - "Ω": 75152, - "暇": 75153, - "襟": 75154, - "蹭": 75155, - "煳": 75156, - "篱": 75157, - "О": 75158, - "Ö": 75159, - "驼": 75160, - "窟": 75161, - "자": 75162, - "═": 75163, - "捣": 75164, - "磕": 75165, - 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"狄": 75238, - "漓": 75239, - "戎": 75240, - "壑": 75241, - "蜘": 75242, - "喵": 75243, - "哨": 75244, - "コ": 75245, - "ǎ": 75246, - "唉": 75247, - "钰": 75248, - "斧": 75249, - "雏": 75250, - "睦": 75251, - "垣": 75252, - "י": 75253, - "佰": 75254, - "瀚": 75255, - "А": 75256, - "盡": 75257, - "汶": 75258, - "琉": 75259, - "矶": 75260, - "レ": 75261, - "叭": 75262, - "掺": 75263, - "钞": 75264, - "碾": 75265, - "ē": 75266, - "肽": 75267, - "颐": 75268, - "柬": 75269, - "茵": 75270, - "υ": 75271, - "篷": 75272, - "桓": 75273, - "⊙": 75274, - "½": 75275, - "薰": 75276, - "胱": 75277, - "挠": 75278, - "伺": 75279, - "蹦": 75280, - "窍": 75281, - "哼": 75282, - "掠": 75283, - "玺": 75284, - "梢": 75285, - "炜": 75286, - "澈": 75287, - "玮": 75288, - "Š": 75289, - "撩": 75290, - "蝇": 75291, - "唑": 75292, - "捆": 75293, - "인": 75294, - "ㄨ": 75295, - "赎": 75296, - "ï": 75297, - "苞": 75298, - "陋": 75299, - "嘎": 75300, - "濮": 75301, - "拙": 75302, - "榕": 75303, - "э": 75304, - "⑤": 75305, - "Â": 75306, - "蛟": 75307, - "簇": 75308, - "्": 75309, - 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"용": 75382, - "紊": 75383, - "豁": 75384, - "徘": 75385, - "涟": 75386, - "亥": 75387, - "圃": 75388, - "炬": 75389, - "デ": 75390, - "瞩": 75391, - "肘": 75392, - "煞": 75393, - "М": 75394, - "聆": 75395, - "荟": 75396, - "焙": 75397, - "º": 75398, - "裘": 75399, - "メ": 75400, - "渤": 75401, - "脐": 75402, - "焖": 75403, - "厥": 75404, - "珀": 75405, - "宸": 75406, - "骼": 75407, - "绚": 75408, - "ð": 75409, - "靳": 75410, - "砚": 75411, - "夯": 75412, - "迦": 75413, - "妾": 75414, - "町": 75415, - "週": 75416, - "坂": 75417, - "า": 75418, - "啪": 75419, - "İ": 75420, - "贰": 75421, - "睫": 75422, - "茸": 75423, - "み": 75424, - "일": 75425, - "哔": 75426, - "庶": 75427, - "眩": 75428, - "鞘": 75429, - "亢": 75430, - "羹": 75431, - "ك": 75432, - "拢": 75433, - "芥": 75434, - "驭": 75435, - "骁": 75436, - "Т": 75437, - "娩": 75438, - "殇": 75439, - "도": 75440, - "箫": 75441, - "熨": 75442, - "谍": 75443, - "Å": 75444, - "叨": 75445, - "ど": 75446, - "戊": 75447, - "耦": 75448, - "跋": 75449, - "マ": 75450, - "搁": 75451, - "沭": 75452, - "樵": 75453, - "臻": 75454, - "瓯": 75455, - "赡": 75456, - "崭": 75457, - "淤": 75458, - "苛": 75459, - "◎": 75460, - "噩": 75461, - "お": 75462, - "潢": 75463, - "滁": 75464, - "萱": 75465, - "拽": 75466, - "보": 75467, - "滔": 75468, - "瘟": 75469, - "鲨": 75470, - "ح": 75471, - "咕": 75472, - "霾": 75473, - "И": 75474, - "匡": 75475, - "囚": 75476, - "铬": 75477, - "馒": 75478, - "秃": 75479, - "鹊": 75480, - "瑚": 75481, - "饵": 75482, - "惫": 75483, - "歹": 75484, - "盔": 75485, - "豚": 75486, - "グ": 75487, - "嫉": 75488, - "鸳": 75489, - "孰": 75490, - "韬": 75491, - "颊": 75492, - "菁": 75493, - "鞠": 75494, - "辊": 75495, - "아": 75496, - "侮": 75497, - "憋": 75498, - "拇": 75499, - "僚": 75500, - "沽": 75501, - "沌": 75502, - "扉": 75503, - "禧": 75504, - "क": 75505, - "ư": 75506, - "孽": 75507, - "僻": 75508, - "樽": 75509, - "烽": 75510, - "柑": 75511, - "祺": 75512, - "犁": 75513, - "冕": 75514, - "茗": 75515, - "カ": 75516, - "绅": 75517, - "髮": 75518, - "绛": 75519, - "湃": 75520, - "그": 75521, - "蒿": 75522, - "绊": 75523, - "炙": 75524, - "濒": 75525, - 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"サ": 75598, - "ち": 75599, - "으": 75600, - "蕃": 75601, - "拧": 75602, - "闰": 75603, - "邂": 75604, - "陂": 75605, - "窖": 75606, - "褚": 75607, - "暧": 75608, - "ィ": 75609, - "潼": 75610, - "铂": 75611, - "赘": 75612, - "迢": 75613, - "バ": 75614, - "仟": 75615, - "蔷": 75616, - "婧": 75617, - "珂": 75618, - "眺": 75619, - "哗": 75620, - "癣": 75621, - "璋": 75622, - "筐": 75623, - "焯": 75624, - "奚": 75625, - "漾": 75626, - "鄞": 75627, - "怠": 75628, - "礁": 75629, - "요": 75630, - "兀": 75631, - "捂": 75632, - "恕": 75633, - "ج": 75634, - "侄": 75635, - "躬": 75636, - "ش": 75637, - "‑": 75638, - "凛": 75639, - "ה": 75640, - "抉": 75641, - "垮": 75642, - "袅": 75643, - "蠕": 75644, - "ί": 75645, - "陨": 75646, - "†": 75647, - "羲": 75648, - "筱": 75649, - "⩾": 75650, - "俘": 75651, - "绰": 75652, - "迥": 75653, - "盎": 75654, - "酣": 75655, - "扳": 75656, - "挟": 75657, - "棺": 75658, - "蕨": 75659, - "禺": 75660, - "绷": 75661, - "涪": 75662, - "Ã": 75663, - "拷": 75664, - "蓟": 75665, - "咀": 75666, - "├": 75667, - "蜕": 75668, - "驯": 75669, - 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"浚": 75886, - "沅": 75887, - "柒": 75888, - "婿": 75889, - "ि": 75890, - "谒": 75891, - "剿": 75892, - "撸": 75893, - "恬": 75894, - "酋": 75895, - "パ": 75896, - "ά": 75897, - "炽": 75898, - "璀": 75899, - "Ø": 75900, - "胧": 75901, - "掐": 75902, - "侬": 75903, - "嵴": 75904, - "胳": 75905, - "汹": 75906, - "虏": 75907, - "眨": 75908, - "痉": 75909, - "琵": 75910, - "瓢": 75911, - "朦": 75912, - "स": 75913, - "龈": 75914, - "刨": 75915, - "冗": 75916, - "浔": 75917, - "巳": 75918, - "่": 75919, - "소": 75920, - "偈": 75921, - "⟩": 75922, - "嫖": 75923, - "嘶": 75924, - "Ó": 75925, - "毙": 75926, - "전": 75927, - "涝": 75928, - "诫": 75929, - "ό": 75930, - "ュ": 75931, - "窒": 75932, - "구": 75933, - "稣": 75934, - "抠": 75935, - "侗": 75936, - "들": 75937, - "戮": 75938, - "瓮": 75939, - "峦": 75940, - "Б": 75941, - "怂": 75942, - "藜": 75943, - "위": 75944, - "蝙": 75945, - "妳": 75946, - "ง": 75947, - "厮": 75948, - "芪": 75949, - "谬": 75950, - "砥": 75951, - "부": 75952, - "開": 75953, - "叟": 75954, - "咫": 75955, - "慑": 75956, - "毓": 75957, - "У": 75958, - "楞": 75959, - "熠": 75960, - "噢": 75961, - "腮": 75962, - "ả": 75963, - "エ": 75964, - "偃": 75965, - "谩": 75966, - "稼": 75967, - "🙂": 75968, - "氰": 75969, - "म": 75970, - "Đ": 75971, - "匮": 75972, - "捍": 75973, - "踝": 75974, - "癖": 75975, - "睾": 75976, - "褒": 75977, - "터": 75978, - "臧": 75979, - "楂": 75980, - "Σ": 75981, - "邸": 75982, - "诅": 75983, - "芍": 75984, - "酉": 75985, - "玥": 75986, - "霹": 75987, - "骇": 75988, - "仄": 75989, - "笠": 75990, - "雳": 75991, - "彷": 75992, - "ก": 75993, - "痊": 75994, - "ר": 75995, - "蟠": 75996, - "鹉": 75997, - "磋": 75998, - "锄": 75999, - "廿": 76000, - "淆": 76001, - "卯": 76002, - "鱿": 76003, - "³": 76004, - "할": 76005, - "挝": 76006, - "铵": 76007, - "⟨": 76008, - "椿": 76009, - "¡": 76010, - "喱": 76011, - "煸": 76012, - "咚": 76013, - "祇": 76014, - "吡": 76015, - "狩": 76016, - "त": 76017, - "洮": 76018, - "阈": 76019, - "א": 76020, - "斛": 76021, - "缨": 76022, - "Ž": 76023, - "瘙": 76024, - "辗": 76025, - "원": 76026, - "Г": 76027, - "خ": 76028, - "扼": 76029, - 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"荚": 76102, - "้": 76103, - "悚": 76104, - "煽": 76105, - "ナ": 76106, - "淬": 76107, - "斟": 76108, - "唠": 76109, - "湄": 76110, - "秽": 76111, - "璞": 76112, - "鲈": 76113, - "ת": 76114, - "姣": 76115, - "诣": 76116, - "猝": 76117, - "発": 76118, - "虔": 76119, - "匣": 76120, - "З": 76121, - "鲫": 76122, - "汞": 76123, - "荼": 76124, - "篡": 76125, - "ャ": 76126, - "缭": 76127, - "揪": 76128, - "우": 76129, - "擒": 76130, - "ニ": 76131, - "铠": 76132, - "邳": 76133, - "Е": 76134, - "경": 76135, - "忱": 76136, - "悸": 76137, - "铮": 76138, - "悴": 76139, - "霭": 76140, - "骸": 76141, - "攸": 76142, - "弼": 76143, - "沖": 76144, - "모": 76145, - "啄": 76146, - "丶": 76147, - "∧": 76148, - "遴": 76149, - "ㄢ": 76150, - "∆": 76151, - "麽": 76152, - "습": 76153, - "荀": 76154, - "惶": 76155, - "ั": 76156, - "衙": 76157, - "장": 76158, - "Ⅲ": 76159, - "ز": 76160, - "━": 76161, - "́": 76162, - "蓓": 76163, - "稷": 76164, - "擀": 76165, - "胫": 76166, - "揍": 76167, - "夙": 76168, - "燮": 76169, - "曜": 76170, - "嗷": 76171, - "骥": 76172, - "濛": 76173, - "ė": 76174, - "濯": 76175, - "鬟": 76176, - "榛": 76177, - "∂": 76178, - "ह": 76179, - "柘": 76180, - "오": 76181, - "窘": 76182, - "ź": 76183, - "ص": 76184, - "阪": 76185, - "ъ": 76186, - "琥": 76187, - "黍": 76188, - "捅": 76189, - "ダ": 76190, - "ế": 76191, - "拈": 76192, - "ビ": 76193, - "俐": 76194, - "妓": 76195, - "枭": 76196, - "捲": 76197, - "ک": 76198, - "ば": 76199, - "瞰": 76200, - "내": 76201, - "辍": 76202, - "幹": 76203, - "莅": 76204, - "憎": 76205, - "ệ": 76206, - "壬": 76207, - "⚠": 76208, - "斓": 76209, - "嫦": 76210, - "岫": 76211, - "ม": 76212, - "嵘": 76213, - "蔑": 76214, - "陛": 76215, - "⁄": 76216, - "학": 76217, - "ェ": 76218, - "蕙": 76219, - "戍": 76220, - "熹": 76221, - "薏": 76222, - "茯": 76223, - "적": 76224, - "♦": 76225, - "¯": 76226, - "蟑": 76227, - "ב": 76228, - "ψ": 76229, - "缥": 76230, - "ط": 76231, - "喽": 76232, - "∶": 76233, - "這": 76234, - "朕": 76235, - "郯": 76236, - "馋": 76237, - "熘": 76238, - "嘅": 76239, - "讷": 76240, - "嚷": 76241, - "榭": 76242, - "מ": 76243, - "侥": 76244, - "비": 76245, - 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], - [ - "▁sp", - "ill" - ], - [ - "▁program", - "mer" - ], - [ - "▁programme", - "r" - ], - [ - "————————", - "————————" - ], - [ - "中", - "之" - ], - [ - "抗", - "议" - ], - [ - "an", - "di" - ], - [ - "and", - "i" - ], - [ - "a", - "ndi" - ], - [ - "camp", - "aign" - ], - [ - "l", - "j" - ], - [ - "磁", - "盘" - ], - [ - "▁in", - "hal" - ], - [ - "▁inh", - "al" - ], - [ - "▁hepar", - "in" - ], - [ - "后", - "人" - ], - [ - "巴", - "拉" - ], - [ - "帮助", - "下" - ], - [ - "Av", - "atar" - ], - [ - "▁her", - "pes" - ], - [ - "▁S", - "AT" - ], - [ - "▁SA", - "T" - ], - [ - "▁", - "SAT" - ], - [ - "短", - "时间内" - ], - [ - "脚", - "下" - ], - [ - "O", - "cc" - ], - [ - "双方", - "在" - ], - [ - "业主", - "收取" - ], - [ - "▁l", - "iable" - ], - [ - "▁li", - "able" - ], - [ - "▁lia", - "ble" - ], - [ - "▁", - "liable" - ], - [ - "▁exped", - "ition" - ], - [ - "侮", - "辱" - ], - [ - "MA", - "IL" - ], - [ - "▁c", - "pu" - ], - [ - "▁cp", - "u" - ], - [ - "▁", - "cpu" - ], - [ - "▁l", - "ou" - ], - [ - "▁lo", - "u" - ], - [ - "非常高兴", - "能" - ], - [ - "▁S", - "yntax" - ], - [ - "▁Syn", - "tax" - ], - [ - "▁Synt", - "ax" - ], - [ - "▁", - "Syntax" - ], - [ - "▁lon", - "gevity" - ], - [ - "▁", - "Ö" - ], - [ - "事", - "的" - ], - [ - "和", - "人" - ], - [ - "盐城", - "市" - ], - [ - "盐", - "城市" - ], - [ - "nh", - "as" - ], - [ - "n", - "has" - ], - [ - "nP", - "ower" - ], - [ - "nPo", - "wer" - ], - [ - "n", - "Power" - ], - [ - "▁Q", - "atar" - ], - [ - "▁light", - "ning" - ], - [ - "Af", - "f" - ], - [ - "A", - "ff" - ], - [ - "▁Anc", - "ient" - ], - [ - "▁Chen", - "nai" - ], - [ - "▁Vit", - "amin" - ], - [ - "▁work", - "load" - ], - [ - "FF", - "ER" - ], - [ - "号案件", - "的执行" - ], - [ - "up", - "dates" - ], - [ - "update", - "s" - ], - [ - "▁Health", - "y" - ], - [ - "ER", - "ENCES" - ], - [ - "ERENCE", - "S" - ], - [ - "▁proc", - "urement" - ], - [ - "但", - "你" - ], - [ - "鉴", - "赏" - ], - [ - "两部", - "分" - ], - [ - "两", - "部分" - ], - [ - "▁numer", - "ically" - ], - [ - "▁numerical", - "ly" - ], - [ - "▁numeric", - "ally" - ], - [ - "▁spec", - "ulation" - ], - [ - "刻", - "画" - ], - [ - "陆", - "游" - ], - [ - "仅仅", - "是" - ], - [ - "op", - "encv" - ], - [ - "open", - "cv" - ], - [ - "▁For", - "mer" - ], - [ - "▁Form", - "er" - ], - [ - "▁Min", - "imum" - ], - [ - "▁", - "Minimum" - ], - [ - "▁post", - "gres" - ], - [ - "▁", - "postgres" - ], - [ - "向被执行人", - "发出执行通知书" - ], - [ - "实", - "木" - ], - [ - "食", - "管" - ], - [ - "▁s", - "unset" - ], - [ - "▁su", - "nset" - ], - [ - "▁sun", - "set" - ], - [ - "▁文", - "学" - ], - [ - "▁", - "文学" - ], - [ - "有时", - "间" - ], - [ - "有", - "时间" - ], - [ - "▁B", - "av" - ], - [ - "▁Ba", - "v" - ], - [ - "en", - "burg" - ], - [ - "▁P", - "atch" - ], - [ - "▁Pat", - "ch" - ], - [ - "▁", - "Patch" - ], - [ - "dec", - "imal" - ], - [ - "pat", - "ibility" - ], - [ - "耐", - "药" - ], - [ - "Display", - "Name" - ], - [ - "C", - "y" - ], - [ - "各", - "主要" - ], - [ - "if", - "ug" - ], - [ - "nk", - "ind" - ], - [ - "n", - "kind" - ], - [ - "▁P", - "rote" - ], - [ - "▁Pro", - "te" - ], - [ - "▁Pr", - "ote" - ], - [ - "▁Prot", - "e" - ], - [ - "represent", - "ed" - ], - [ - "黑", - "的" - ], - [ - "门户", - "网站" - ], - [ - "▁n", - "aval" - ], - [ - "▁nav", - "al" - ], - [ - "▁na", - "val" - ], - [ - "第十三", - "条第二款" - ], - [ - "第十三条", - "第二款" - ], - [ - "不断", - "累" - ], - [ - "▁Ap", - "ollo" - ], - [ - "▁A", - "SF" - ], - [ - "▁AS", - "F" - ], - [ - "▁", - "ASF" - ], - [ - "▁turb", - "ine" - ], - [ - "▁techn", - "ician" - ], - [ - "住", - "建" - ], - [ - "招", - "待" - ], - [ - "退", - "赔" - ], - [ - "st", - "ones" - ], - [ - "ston", - "es" - ], - [ - "stone", - "s" - ], - [ - "sto", - "nes" - ], - [ - "▁C", - "rist" - ], - [ - "▁Cr", - "ist" - ], - [ - "▁K", - "ubernetes" - ], - [ - "ol", - "ith" - ], - [ - "olit", - "h" - ], - [ - "oli", - "th" - ], - [ - "un", - "ts" - ], - [ - "unt", - "s" - ], - [ - "ig", - "hed" - ], - [ - "igh", - "ed" - ], - [ - "ac", - "iones" - ], - [ - "acion", - "es" - ], - [ - "aci", - "ones" - ], - [ - "acio", - "nes" - ], - [ - "▁exceed", - "ing" - ], - [ - "上", - "车" - ], - [ - "我的", - "经纪人" - ], - [ - "nTr", - "ump" - ], - [ - "n", - "Trump" - ], - [ - "▁M", - "iles" - ], - [ - "▁Mil", - "es" - ], - [ - "▁Mi", - "les" - ], - [ - "▁Mile", - "s" - ], - [ - "config", - "s" - ], - [ - "conf", - "igs" - ], - [ - "▁lingu", - "istic" - ], - [ - "US", - "ED" - ], - [ - "USE", - "D" - ], - [ - "U", - "SED" - ], - [ - "▁her", - "bal" - ], - [ - "▁herb", - "al" - ], - [ - "▁Ott", - "oman" - ], - [ - "▁Otto", - "man" - ], - [ - "produ", - "cing" - ], - [ - "prod", - "ucing" - ], - [ - "p", - "roducing" - ], - [ - "隔", - "音" - ], - [ - "IM", - "O" - ], - [ - "I", - "MO" - ], - [ - "日", - "美股" - ], - [ - "pa", - "irs" - ], - [ - "pair", - "s" - ], - [ - "p", - "airs" - ], - [ - "▁R", - "aid" - ], - [ - "▁Ra", - "id" - ], - [ - "我非常", - "感激" - ], - [ - "▁f", - "erry" - ], - [ - "▁fer", - "ry" - ], - [ - "▁ferr", - "y" - ], - [ - "▁rupt", - "ure" - ], - [ - "工业", - "化" - ], - [ - "应用", - "的" - ], - [ - "应", - "用的" - ], - [ - "chem", - "ical" - ], - [ - "c", - "hemical" - ], - [ - "棵", - "树" - ], - [ - "而", - "上" - ], - [ - "ll", - "d" - ], - [ - "l", - "ld" - ], - [ - "与", - "本案" - ], - [ - "ad", - "ren" - ], - [ - "adr", - "en" - ], - [ - "▁P", - "erc" - ], - [ - "▁Per", - "c" - ], - [ - "▁Pe", - "rc" - ], - [ - "▁im", - "pose" - ], - [ - "▁imp", - "ose" - ], - [ - "define", - "Property" - ], - [ - "对我", - "国" - ], - [ - "对", - "我国" - ], - [ - "man", - "t" - ], - [ - "ma", - "nt" - ], - [ - "m", - "ant" - ], - [ - "这么", - "多年" - ], - [ - "这么多", - "年" - ], - [ - "as", - "per" - ], - [ - "asp", - "er" - ], - [ - "▁B", - "elf" - ], - [ - "▁Be", - "lf" - ], - [ - "▁Bel", - "f" - ], - [ - "itc", - "hens" - ], - [ - "itch", - "ens" - ], - [ - "itchen", - "s" - ], - [ - "▁M", - "oment" - ], - [ - "▁Mo", - "ment" - ], - [ - "▁Mom", - "ent" - ], - [ - "▁C", - "rit" - ], - [ - "▁Cr", - "it" - ], - [ - "▁S", - "ites" - ], - [ - "▁Site", - "s" - ], - [ - "▁Si", - "tes" - ], - [ - "▁Sit", - "es" - ], - [ - "▁f", - "rank" - ], - [ - "▁fr", - "ank" - ], - [ - "▁fra", - "nk" - ], - [ - "和", - "知识" - ], - [ - "状态", - "下" - ], - [ - "心", - "底" - ], - [ - "▁A", - "E" - ], - [ - "▁", - "AE" - ], - [ - "违反", - "了" - ], - [ - "我们将", - "予以" - ], - [ - "▁L", - "ynch" - ], - [ - "▁Ly", - "nch" - ], - [ - "▁Lyn", - "ch" - ], - [ - "T", - "N" - ], - [ - "▁Jo", - "an" - ], - [ - "▁av", - "ail" - ], - [ - "▁Init", - "ially" - ], - [ - "▁Initial", - "ly" - ], - [ - "hi", - "nt" - ], - [ - "hin", - "t" - ], - [ - "h", - "int" - ], - [ - "你", - "家" - ], - [ - "更", - "要" - ], - [ - "的", - "犯罪" - ], - [ - "Pr", - "ep" - ], - [ - "Pre", - "p" - ], - [ - "P", - "rep" - ], - [ - "▁PT", - "SD" - ], - [ - "二〇一七年", - "三月" - ], - [ - "二〇一七年三", - "月" - ], - [ - "nFootball", - "ers" - ], - [ - "一", - "向" - ], - [ - "妨", - "碍" - ], - [ - "Cal", - "c" - ], - [ - "Ca", - "lc" - ], - [ - "C", - "alc" - ], - [ - "▁cr", - "uel" - ], - [ - "▁cru", - "el" - ], - [ - "止", - "痛" - ], - [ - "的", - "案件" - ], - [ - "qu", - "ez" - ], - [ - "que", - "z" - ], - [ - "list", - "dir" - ], - [ - "dim", - "ension" - ], - [ - "d", - "imension" - ], - [ - "调", - "制" - ], - [ - "igue", - "z" - ], - [ - "igu", - "ez" - ], - [ - "nRe", - "lease" - ], - [ - "n", - "Release" - ], - [ - "引发", - "的" - ], - [ - "引", - "发的" - ], - [ - "赢得", - "胜利的" - ], - [ - "▁Econ", - "omy" - ], - [ - "▁Ec", - "onomy" - ], - [ - "威", - "力" - ], - [ - "枝", - "花" - ], - [ - "是由", - "于" - ], - [ - "是", - "由于" - ], - [ - "的", - "控制" - ], - [ - "多边形", - "的" - ], - [ - "多", - "边形的" - ], - [ - "▁loc", - "alities" - ], - [ - "▁local", - "ities" - ], - [ - "▁neuro", - "psych" - ], - [ - "浓", - "厚" - ], - [ - "读", - "了" - ], - [ - "研究", - "室" - ], - [ - "这部", - "分" - ], - [ - "这", - "部分" - ], - [ - "mo", - "tion" - ], - [ - "mot", - "ion" - ], - [ - "m", - "otion" - ], - [ - "▁My", - "anmar" - ], - [ - "▁respon", - "ds" - ], - [ - "▁respond", - "s" - ], - [ - "▁resp", - "onds" - ], - [ - "PO", - "R" - ], - [ - "P", - "OR" - ], - [ - "防火", - "墙" - ], - [ - "Inf", - "later" - ], - [ - "▁", - "广州" - ], - [ - "得更", - "全面" - ], - [ - "Blue", - "print" - ], - [ - "Oper", - "ations" - ], - [ - "Operation", - "s" - ], - [ - "酰", - "胺" - ], - [ - "Ba", - "nd" - ], - [ - "Ban", - "d" - ], - [ - "B", - "and" - ], - [ - "人民", - "调解协议" - ], - [ - "人民调解", - "协议" - ], - [ - "▁Coal", - "ition" - ], - [ - "▁waste", - "water" - ], - [ - "▁wast", - "ewater" - ], - [ - "责任", - "心" - ], - [ - "重组", - "案" - ], - [ - "The", - "ta" - ], - [ - "Th", - "eta" - ], - [ - "▁St", - "efan" - ], - [ - "▁Ste", - "fan" - ], - [ - "▁in", - "flux" - ], - [ - "▁inf", - "lux" - ], - [ - "▁influ", - "x" - ], - [ - "▁infl", - "ux" - ], - [ - "▁ret", - "iring" - ], - [ - "▁Strateg", - "ic" - ], - [ - "产", - "科" - ], - [ - "偶", - "函数" - ], - [ - "就", - "直接" - ], - [ - "缺席", - "审理" - ], - [ - "演唱", - "的歌曲" - ], - [ - "信", - "道" - ], - [ - "向", - "西" - ], - [ - "▁F", - "ew" - ], - [ - "▁Fe", - "w" - ], - [ - "明确的", - "被告" - ], - [ - "Lo", - "ndon" - ], - [ - "L", - "ondon" - ], - [ - "全", - "都" - ], - [ - "锅", - "里" - ], - [ - "专家", - "坐堂" - ], - [ - "南京", - "还有" - ], - [ - "an", - "tage" - ], - [ - "ant", - "age" - ], - [ - "anta", - "ge" - ], - [ - "▁compens", - "ate" - ], - [ - "▁P", - "U" - ], - [ - "▁", - "PU" - ], - [ - "nB", - "uy" - ], - [ - "n", - "Buy" - ], - [ - "▁L", - "abs" - ], - [ - "▁La", - "bs" - ], - [ - "▁Lab", - "s" - ], - [ - "所有的", - "位于" - ], - [ - "▁c", - "ubes" - ], - [ - "▁cub", - "es" - ], - [ - "▁cube", - "s" - ], - [ - "▁cu", - "bes" - ], - [ - "广东省", - "深圳市" - ], - [ - "prov", - "ided" - ], - [ - "provide", - "d" - ], - [ - "}", - "'" - ], - [ - "先", - "说" - ], - [ - "吻", - "合" - ], - [ - "怀特", - "说" - ], - [ - "ip", - "eg" - ], - [ - "ipe", - "g" - ], - [ - "i", - "peg" - ], - [ - "支出", - "色的" - ], - [ - "支", - "出色的" - ], - [ - "▁Sh", - "arp" - ], - [ - "▁Sha", - "rp" - ], - [ - "▁Shar", - "p" - ], - [ - "▁", - "Sharp" - ], - [ - "nIm", - "port" - ], - [ - "n", - "Import" - ], - [ - "会", - "签下" - ], - [ - "nn", - "ow" - ], - [ - "nno", - "w" - ], - [ - "n", - "now" - ], - [ - "▁B", - "rief" - ], - [ - "▁Br", - "ief" - ], - [ - "▁Bri", - "ef" - ], - [ - "▁Hur", - "ricane" - ], - [ - "五", - "行" - ], - [ - "嘲", - "讽" - ], - [ - "农业", - "农村" - ], - [ - "▁congress", - "ional" - ], - [ - "图", - "表" - ], - [ - "巴", - "基" - ], - [ - "生产", - "劳动" - ], - [ - "十三", - "条规定" - ], - [ - "十三条", - "规定" - ], - [ - "▁mid", - "st" - ], - [ - "▁mi", - "dst" - ], - [ - "[", - "#" - ], - [ - "进", - "军" - ], - [ - "了一", - "批" - ], - [ - "了", - "一批" - ], - [ - "你", - "以为" - ], - [ - "Sp", - "ot" - ], - [ - "S", - "pot" - ], - [ - "yp", - "ress" - ], - [ - "y", - "press" - ], - [ - "号", - "行政" - ], - [ - "公摊", - "水费" - ], - [ - "延长赛", - "落败" - ], - [ - "证监会", - "否决" - ], - [ - "反映给", - "相关部门" - ], - [ - "把", - "她" - ], - [ - "白", - "玉" - ], - [ - "加深", - "天马" - ], - [ - "融券", - "筹码" - ], - [ - "实录", - "加西亚" - ], - [ - "重组案", - "再遭" - ], - [ - "▁R", - "atio" - ], - [ - "▁Rat", - "io" - ], - [ - "▁", - "Ratio" - ], - [ - "不断累", - "加深天马" - ], - [ - "日美股", - "专家坐堂" - ], - [ - "实录加西亚", - "延长赛落败" - ], - [ - "融券筹码", - "不断累加深天马" - ], - [ - "融券筹码不断累加深天马", - "重组案再遭" - ], - [ - "羊", - "毛" - ], - [ - "学术", - "论文" - ], - [ - "求", - "和" - ], - [ - "ln", - "x" - ], - [ - "l", - "nx" - ], - [ - "▁英", - "语" - ], - [ - "▁", - "英语" - ], - [ - "in", - "dy" - ], - [ - "ind", - "y" - ], - [ - "与被告", - "王" - ], - [ - "pl", - "atin" - ], - [ - "plat", - "in" - ], - [ - "rs", - "s" - ], - [ - "r", - "ss" - ], - [ - "▁N", - "Z" - ], - [ - "▁", - "NZ" - ], - [ - "不了", - "解" - ], - [ - "不", - "了解" - ], - [ - "▁D", - "od" - ], - [ - "▁Do", - "d" - ], - [ - "▁C", - "lin" - ], - [ - "▁Cl", - "in" - ], - [ - "▁D", - "ale" - ], - [ - "▁Da", - "le" - ], - [ - "▁Dal", - "e" - ], - [ - "西祠", - "讨论版" - ], - [ - "支出色的", - "球队" - ], - [ - "▁Br", - "east" - ], - [ - "▁Bre", - "ast" - ], - [ - "我的经纪人", - "告诉我" - ], - [ - "万", - "能" - ], - [ - "推", - "介" - ], - [ - "特此", - "通知" - ], - [ - "签约", - "火箭" - ], - [ - "▁f", - "ier" - ], - [ - "▁fi", - "er" - ], - [ - "将自己", - "磨练" - ], - [ - "有几", - "支球队" - ], - [ - "bench", - "mark" - ], - [ - "▁Cor", - "rection" - ], - [ - "▁Correct", - "ion" - ], - [ - "第一百五十四条", - "裁定适用于下列范围" - ], - [ - "il", - "k" - ], - [ - "晚饭", - "团" - ], - [ - "月", - "获得" - ], - [ - "会签下", - "我" - ], - [ - "却被", - "物管" - ], - [ - "请求", - "判令" - ], - [ - "你的遭遇", - "吧" - ], - [ - "却依然", - "在向" - ], - [ - "扬子", - "晚饭团" - ], - [ - "明明", - "废弃了" - ], - [ - "一直在", - "关注我" - ], - [ - "却被物管", - "私吞" - ], - [ - "并将", - "你的遭遇" - ], - [ - "我坚信", - "有球队" - ], - [ - "我知道", - "有球队" - ], - [ - "所以我很", - "刻苦" - ], - [ - "而且", - "这个城市" - ], - [ - "怀特", - "非常高兴能" - ], - [ - "我现在", - "来到了一" - ], - [ - "说出", - "你的遭遇吧" - ], - [ - "赢得胜利的", - "球队" - ], - [ - "业主收取", - "公摊水费" - ], - [ - "我非常感激", - "这一切" - ], - [ - "租金", - "却被物管私吞" - ], - [ - "请登录", - "西祠讨论版" - ], - [ - "又有", - "多少小区的水景" - ], - [ - "将自己磨练", - "得更全面" - ], - [ - "我们将予以", - "追踪报道" - ], - [ - "我知道有球队", - "注意我" - ], - [ - "而且这个城市", - "也很好" - ], - [ - "我坚信有球队", - "会签下我" - ], - [ - "一个不断", - "赢得胜利的球队" - ], - [ - "南京还有", - "多少小区的水景" - ], - [ - "怀特非常高兴能", - "签约火箭" - ], - [ - "有几支球队", - "一直在关注我" - ], - [ - "却依然在向", - "业主收取公摊水费" - ], - [ - "又有多少小区的水景", - "挪作他用" - ], - [ - "并将你的遭遇", - "反映给相关部门" - ], - [ - "我现在来到了一", - "支出色的球队" - ], - [ - "南京还有多少小区的水景", - "明明废弃了" - ], - [ - "t", - "G" - ], - [ - "会", - "谈" - ], - [ - "血", - "流" - ], - [ - "▁", - "最大" - ], - [ - "▁T", - "hing" - ], - [ - "▁Th", - "ing" - ], - [ - "▁Thin", - "g" - ], - [ - "▁mac", - "ros" - ], - [ - "▁macro", - "s" - ], - [ - "▁", - "macros" - ], - [ - "▁c", - "ottage" - ], - [ - "▁cot", - "tage" - ], - [ - "▁Buddh", - "ist" - ], - [ - "▁Budd", - "hist" - ], - [ - "▁Ch", - "ocolate" - ], - [ - "b", - "z" - ], - [ - "九", - "十" - ], - [ - "的", - "粉丝" - ], - [ - "nE", - "qu" - ], - [ - "n", - "Equ" - ], - [ - "▁b", - "elly" - ], - [ - "▁bel", - "ly" - ], - [ - "▁bell", - "y" - ], - [ - "慎", - "重" - ], - [ - "氧", - "气" - ], - [ - "而", - "过" - ], - [ - "▁F", - "ra" - ], - [ - "▁Fr", - "a" - ], - [ - "ess", - "ive" - ], - [ - "▁Rock", - "y" - ], - [ - "▁Roc", - "ky" - ], - [ - "cent", - "ric" - ], - [ - "c", - "entric" - ], - [ - "穿", - "刺" - ], - [ - "Li", - "f" - ], - [ - "L", - "if" - ], - [ - "sent", - "ence" - ], - [ - "房", - "的" - ], - [ - "er", - "mine" - ], - [ - "erm", - "ine" - ], - [ - "nR", - "ugby" - ], - [ - "▁Some", - "one" - ], - [ - "▁hydroph", - "obic" - ], - [ - "收", - "割" - ], - [ - "艰", - "辛" - ], - [ - "nJ", - "im" - ], - [ - "n", - "Jim" - ], - [ - "▁登场", - "作品" - ], - [ - "▁sc", - "rews" - ], - [ - "▁scr", - "ews" - ], - [ - "▁screw", - "s" - ], - [ - "关节", - "炎" - ], - [ - "▁res", - "istor" - ], - [ - "▁resist", - "or" - ], - [ - "S", - "a" - ], - [ - "收", - "盘" - ], - [ - "做出", - "的" - ], - [ - "做", - "出的" - ], - [ - "pi", - "eces" - ], - [ - "piece", - "s" - ], - [ - "pie", - "ces" - ], - [ - "▁Res", - "cue" - ], - [ - "▁s", - "el" - ], - [ - "▁se", - "l" - ], - [ - "▁", - "sel" - ], - [ - "▁P", - "ag" - ], - [ - "▁Pa", - "g" - ], - [ - "▁", - "Pag" - ], - [ - "C", - "atalog" - ], - [ - "▁anal", - "ogs" - ], - [ - "▁analog", - "s" - ], - [ - "▁ana", - "logs" - ], - [ - "是", - "人" - ], - [ - "不明", - "白" - ], - [ - "不", - "明白" - ], - [ - "也是", - "很" - ], - [ - "也", - "是很" - ], - [ - "激烈", - "的" - ], - [ - "激", - "烈的" - ], - [ - "搅拌", - "均匀" - ], - [ - "▁tool", - "bar" - ], - [ - "▁", - "toolbar" - ], - [ - "▁Mah", - "arashtra" - ], - [ - "No", - "r" - ], - [ - "N", - "or" - ], - [ - "ir", - "ical" - ], - [ - "iri", - "cal" - ], - [ - "i", - "rical" - ], - [ - "im", - "plementation" - ], - [ - "imple", - "mentation" - ], - [ - "即可", - "求得" - ], - [ - "▁S", - "ync" - ], - [ - "▁Sy", - "nc" - ], - [ - "▁Syn", - "c" - ], - [ - "▁", - "Sync" - ], - [ - "向", - "我" - ], - [ - "年", - "少" - ], - [ - "雪", - "花" - ], - [ - "ce", - "ipt" - ], - [ - "к", - "у" - ], - [ - "▁E", - "cho" - ], - [ - "▁Ec", - "ho" - ], - [ - "▁T", - "YPE" - ], - [ - "▁", - "TYPE" - ], - [ - "▁s", - "oda" - ], - [ - "▁so", - "da" - ], - [ - "▁advert", - "isement" - ], - [ - "▁advertis", - "ement" - ], - [ - "▁advertise", - "ment" - ], - [ - "pl", - "ural" - ], - [ - "▁review", - "ers" - ], - [ - "▁reviewer", - "s" - ], - [ - "马", - "某" - ], - [ - "er", - "es" - ], - [ - "ere", - "s" - ], - [ - "e", - "res" - ], - [ - "▁R", - "oh" - ], - [ - "▁Ro", - "h" - ], - [ - "▁pe", - "el" - ], - [ - "▁inv", - "aluable" - ], - [ - "▁pregn", - "ancies" - ], - [ - "▁C", - "ities" - ], - [ - "▁Cit", - "ies" - ], - [ - "▁Ci", - "ties" - ], - [ - "共", - "振" - ], - [ - "芜湖", - "市" - ], - [ - "设计", - "了" - ], - [ - "住", - "山东省" - ], - [ - "ball", - "s" - ], - [ - "bal", - "ls" - ], - [ - "b", - "alls" - ], - [ - "nB", - "ook" - ], - [ - "nBo", - "ok" - ], - [ - "n", - "Book" - ], - [ - "lan", - "tic" - ], - [ - "l", - "antic" - ], - [ - "▁valid", - "ator" - ], - [ - "▁", - "validator" - ], - [ - "▁conv", - "iction" - ], - [ - "T", - "K" - ], - [ - "断", - "了" - ], - [ - "济", - "宁" - ], - [ - "联", - "手" - ], - [ - "请", - "用" - ], - [ - "IN", - "ESS" - ], - [ - "INE", - "SS" - ], - [ - "I", - "NESS" - ], - [ - "nHome", - "work" - ], - [ - "nHom", - "ework" - ], - [ - "▁de", - "leting" - ], - [ - "▁del", - "eting" - ], - [ - "▁delet", - "ing" - ], - [ - "分布", - "在" - ], - [ - "Spec", - "ific" - ], - [ - "S", - "pecific" - ], - [ - "▁Sym", - "posium" - ], - [ - "if", - "ax" - ], - [ - "ifa", - "x" - ], - [ - "i", - "fax" - ], - [ - "ind", - "ividual" - ], - [ - "▁goal", - "keeper" - ], - [ - "▁Legisl", - "ature" - ], - [ - "整", - "顿" - ], - [ - "各自", - "的" - ], - [ - "iv", - "ary" - ], - [ - "iva", - "ry" - ], - [ - "ivar", - "y" - ], - [ - "der", - "ive" - ], - [ - "de", - "rive" - ], - [ - "▁Abd", - "ul" - ], - [ - "夫妻感情", - "破裂" - ], - [ - "原", - "型" - ], - [ - "CM", - "S" - ], - [ - "C", - "MS" - ], - [ - "▁S", - "hin" - ], - [ - "▁Sh", - "in" - ], - [ - "▁Shi", - "n" - ], - [ - "▁kind", - "ly" - ], - [ - "▁ion", - "ization" - ], - [ - "该", - "局" - ], - [ - "▁dr", - "ummer" - ], - [ - "▁drum", - "mer" - ], - [ - "运", - "势" - ], - [ - "各", - "单位" - ], - [ - "▁l", - "anes" - ], - [ - "▁la", - "nes" - ], - [ - "▁lane", - "s" - ], - [ - "▁lan", - "es" - ], - [ - "搞", - "好" - ], - [ - "构", - "件" - ], - [ - "re", - "views" - ], - [ - "review", - "s" - ], - [ - "▁Pre", - "pare" - ], - [ - "▁Prep", - "are" - ], - [ - "▁ped", - "estrian" - ], - [ - "▁pedest", - "rian" - ], - [ - "祝", - "愿" - ], - [ - "过", - "期" - ], - [ - "ch", - "ai" - ], - [ - "cha", - "i" - ], - [ - "c", - "hai" - ], - [ - "st", - "ry" - ], - [ - "str", - "y" - ], - [ - "s", - "try" - ], - [ - "▁s", - "ights" - ], - [ - "▁sight", - "s" - ], - [ - "▁separ", - "ating" - ], - [ - "率", - "达" - ], - [ - "父亲", - "的" - ], - [ - "市", - "值" - ], - [ - "更", - "适合" - ], - [ - "电动", - "机" - ], - [ - "电", - "动机" - ], - [ - "神秘", - "的" - ], - [ - "\\\\", - ";\\\\" - ], - [ - "\\\\;", - "\\\\" - ], - [ - "/", - "'" - ], - [ - "明", - "知" - ], - [ - "意识", - "形态" - ], - [ - "科技", - "股份有限公司" - ], - [ - "V", - "GA" - ], - [ - "责任", - "的" - ], - [ - ">(", - "\\" - ], - [ - ">", - "(\\" - ], - [ - "专业", - "课" - ], - [ - "Access", - "or" - ], - [ - "血", - "症" - ], - [ - "ie", - "c" - ], - [ - "i", - "ec" - ], - [ - "~~", - "~" - ], - [ - "~", - "~~" - ], - [ - "脂肪", - "酸" - ], - [ - "▁Na", - "du" - ], - [ - "▁Nad", - "u" - ], - [ - "ich", - "let" - ], - [ - "▁determin", - "istic" - ], - [ - "AN", - "Y" - ], - [ - "A", - "NY" - ], - [ - "ul", - "ance" - ], - [ - "ula", - "nce" - ], - [ - "▁Ch", - "ess" - ], - [ - "▁Che", - "ss" - ], - [ - "▁Ches", - "s" - ], - [ - "▁ad", - "mits" - ], - [ - "▁admit", - "s" - ], - [ - "▁adm", - "its" - ], - [ - "▁rac", - "ism" - ], - [ - "等证据", - "予以证实" - ], - [ - "子", - "孙" - ], - [ - "▁f", - "d" - ], - [ - "▁", - "fd" - ], - [ - "生前", - "为" - ], - [ - "▁re", - "bounds" - ], - [ - "▁reb", - "ounds" - ], - [ - "▁rebound", - "s" - ], - [ - "▁post", - "natal" - ], - [ - "▁P", - "t" - ], - [ - "▁", - "Pt" - ], - [ - "心脏", - "病" - ], - [ - "tN", - "ame" - ], - [ - "t", - "Name" - ], - [ - "▁p", - "eek" - ], - [ - "▁pe", - "ek" - ], - [ - "▁", - "peek" - ], - [ - "nAdd", - "itionally" - ], - [ - "nAdditional", - "ly" - ], - [ - "执行", - "至" - ], - [ - "tr", - "ad" - ], - [ - "tra", - "d" - ], - [ - "t", - "rad" - ], - [ - "一个", - "新的" - ], - [ - "学习", - "教育" - ], - [ - "▁sh", - "owers" - ], - [ - "▁show", - "ers" - ], - [ - "▁shower", - "s" - ], - [ - "lim", - "itations" - ], - [ - "limit", - "ations" - ], - [ - "深", - "远" - ], - [ - "▁—", - "—" - ], - [ - "▁", - "——" - ], - [ - "▁n", - "ont" - ], - [ - "▁no", - "nt" - ], - [ - "▁non", - "t" - ], - [ - "▁Pay", - "Pal" - ], - [ - "▁p", - "umping" - ], - [ - "▁pump", - "ing" - ], - [ - "▁commod", - "ity" - ], - [ - "▁repos", - "itories" - ], - [ - "▁", - "repositories" - ], - [ - "▁transfer", - "ring" - ], - [ - "▁transf", - "erring" - ], - [ - "IN", - "DEX" - ], - [ - "IND", - "EX" - ], - [ - "nS", - "ystem" - ], - [ - "n", - "System" - ], - [ - "▁N", - "ortheast" - ], - [ - "▁North", - "east" - ], - [ - "略", - "有" - ], - [ - "创造", - "性" - ], - [ - "半个", - "月" - ], - [ - "半", - "个月" - ], - [ - "▁H", - "err" - ], - [ - "▁He", - "rr" - ], - [ - "▁Her", - "r" - ], - [ - "▁diarr", - "hea" - ], - [ - "和他", - "的" - ], - [ - "和", - "他的" - ], - [ - "▁re", - "he" - ], - [ - "DATA", - "BASE" - ], - [ - "D", - "ATABASE" - ], - [ - "聘", - "请" - ], - [ - "J", - "en" - ], - [ - "不知", - "不觉" - ], - [ - "▁f", - "rog" - ], - [ - "▁fr", - "og" - ], - [ - "▁fro", - "g" - ], - [ - "▁", - "中共党员" - ], - [ - "▁lim", - "bs" - ], - [ - "▁limb", - "s" - ], - [ - "主", - "线" - ], - [ - "nK", - "now" - ], - [ - "nKn", - "ow" - ], - [ - "n", - "Know" - ], - [ - "制成", - "的" - ], - [ - "制", - "成的" - ], - [ - "Ver", - "ify" - ], - [ - "rais", - "al" - ], - [ - "日", - "开始" - ], - [ - "营养", - "成分" - ], - [ - "/", - "," - ], - [ - "今", - "生" - ], - [ - "是", - "怎样" - ], - [ - "▁Fr", - "anç" - ], - [ - "▁weakness", - "es" - ], - [ - "关系", - "到" - ], - [ - "ns", - "age" - ], - [ - "▁build", - "ers" - ], - [ - "▁builder", - "s" - ], - [ - "▁", - "builders" - ], - [ - "减", - "弱" - ], - [ - "Ver", - "s" - ], - [ - "V", - "ers" - ], - [ - "con", - "e" - ], - [ - "co", - "ne" - ], - [ - "c", - "one" - ], - [ - "e", - "uclid" - ], - [ - "nS", - "ocial" - ], - [ - "n", - "Social" - ], - [ - "nPar", - "ameters" - ], - [ - "n", - "Parameters" - ], - [ - "场", - "馆" - ], - [ - "Th", - "ursday" - ], - [ - "J", - "ul" - ], - [ - "人", - "意" - ], - [ - "设", - "在" - ], - [ - "be", - "ck" - ], - [ - "bec", - "k" - ], - [ - "b", - "eck" - ], - [ - "多", - "点" - ], - [ - "nF", - "in" - ], - [ - "n", - "Fin" - ], - [ - "▁O", - "ral" - ], - [ - "▁Or", - "al" - ], - [ - "▁List", - "en" - ], - [ - "▁Li", - "sten" - ], - [ - "▁Lis", - "ten" - ], - [ - "▁", - "Listen" - ], - [ - "对被执行人", - "的财产" - ], - [ - "对", - "被执行人的财产" - ], - [ - "▁metabol", - "ite" - ], - [ - "少", - "于" - ], - [ - "提到", - "的" - ], - [ - "提", - "到的" - ], - [ - "符合", - "下列" - ], - [ - "▁war", - "mer" - ], - [ - "▁warm", - "er" - ], - [ - "▁combin", - "atorial" - ], - [ - "合", - "影" - ], - [ - "中止", - "或者" - ], - [ - "▁e", - "lem" - ], - [ - "▁el", - "em" - ], - [ - "▁ele", - "m" - ], - [ - "▁", - "elem" - ], - 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"ected" - ], - [ - "▁", - "Selected" - ], - [ - "最高人民法院关于", - "办理减刑" - ], - [ - "▁S", - "ev" - ], - [ - "▁Se", - "v" - ], - [ - "nTh", - "ink" - ], - [ - "n", - "Think" - ], - [ - "词条", - "注销信息" - ], - [ - "ut", - "ation" - ], - [ - "uta", - "tion" - ], - [ - "M", - "n" - ], - [ - "都", - "觉得" - ], - [ - "工程", - "专业" - ], - [ - "els", - "ius" - ], - [ - "t", - "H" - ], - [ - "▁", - "首" - ], - [ - "双", - "击" - ], - [ - "▁A", - "ES" - ], - [ - "▁AE", - "S" - ], - [ - "▁", - "AES" - ], - [ - "▁C", - "AL" - ], - [ - "▁CA", - "L" - ], - [ - "▁", - "CAL" - ], - [ - "▁L", - "aur" - ], - [ - "▁La", - "ur" - ], - [ - "▁n", - "our" - ], - [ - "▁no", - "ur" - ], - [ - "▁", - "nour" - ], - [ - "tr", - "avel" - ], - [ - "tra", - "vel" - ], - [ - "t", - "ravel" - ], - [ - "教", - "务" - ], - [ - "也没", - "什么" - ], - [ - "也", - "没什么" - ], - [ - "▁le", - "uc" - ], - [ - "应", - "及时" - ], - [ - "的", - "房子" - ], - [ - "▁ab", - "sc" - ], - [ - "▁abs", - "c" - ], - [ - "▁bl", - "essing" - ], - [ - "▁bless", - "ing" - ], - [ - "▁life", - "span" - ], - [ - "▁lifes", - "pan" - ], - [ - "x", - "m" - ], - [ - "SD", - "N" - ], - [ - "S", - "DN" - ], - [ - "邯郸", - "市" - ], - [ - "▁H", - "AS" - ], - [ - "▁HA", - "S" - ], - [ - "考", - "前" - ], - [ - "▁D", - "AY" - ], - [ - "▁DA", - "Y" - ], - [ - "▁", - "DAY" - ], - [ - "这件事", - "情" - ], - [ - "这件", - "事情" - ], - [ - "这", - "件事情" - ], - [ - "OA", - "uth" - ], - [ - "O", - "Auth" - ], - [ - "▁ar", - "sen" - ], - [ - "craft", - "ed" - ], - [ - "▁program", - "mers" - ], - [ - "▁programme", - "rs" - ], - [ - "▁programmer", - "s" - ], - [ - "每", - "种" - ], - [ - "管理", - "学" - ], - [ - "管", - "理学" - ], - [ - "不可", - "避免" - ], - [ - "▁rum", - "ors" - ], - [ - "凝", - "胶" - ], - [ - "ar", - "na" - ], - [ - "arn", - "a" - ], - [ - "被执行人", - "名下" - ], - [ - "▁G", - "aming" - ], - [ - "▁Ga", - "ming" - ], - [ - "▁Gam", - "ing" - ], - [ - "▁vine", - "gar" - ], - [ - "nPres", - "ident" - ], - [ - "n", - "President" - ], - [ - "▁hist", - "ogram" - ], - [ - "两个", - "数" - ], - [ - "两", - "个数" - ], - [ - "你就", - "是" - ], - [ - "你", - "就是" - ], - [ - "刑期", - "执行至" - ], - [ - "▁exp", - "ire" - ], - [ - "▁Ch", - "arter" - ], - [ - "▁Char", - "ter" - ], - [ - "▁Chart", - "er" - ], - [ - "▁hope", - "ful" - ], - [ - "▁hop", - "eful" - ], - [ - "八", - "个" - ], - [ - "的", - "合理" - ], - [ - "的", - "形象" - ], - [ - "▁Ig", - "E" - ], - [ - "nar", - "ray" - ], - [ - "n", - "array" - ], - [ - "▁Ver", - "ify" - ], - [ - "▁", - "Verify" - ], - [ - "▁al", - "ters" - ], - [ - "▁alter", - "s" - ], - [ - "▁alt", - "ers" - ], - [ - "方", - "正" - ], - [ - "点", - "为" - ], - [ - "PC", - "A" - ], - [ - "P", - "CA" - ], - [ - "应该", - "如何" - ], - [ - "应", - "该如何" - ], - [ - "▁prom", - "oters" - ], - [ - "▁promot", - "ers" - ], - [ - "▁promote", - "rs" - ], - [ - "▁promoter", - "s" - ], - [ - "▁promo", - "ters" - ], - [ - "看了", - "一" - ], - [ - "看", - "了一" - ], - [ - "▁B", - "elle" - ], - [ - "▁Bel", - "le" - ], - [ - "▁Bell", - "e" - ], - [ - "▁post", - "pon" - ], - [ - "▁evidence", - "d" - ], - [ - "▁evid", - "enced" - ], - [ - "v", - "u" - ], - [ - "ar", - "ton" - ], - [ - "art", - "on" - ], - [ - "▁Man", - "ila" - ], - [ - "▁creat", - "inine" - ], - [ - "就", - "拿" - ], - [ - "在", - "世界" - ], - [ - "▁obsc", - "ure" - ], - [ - "D", - "V" - ], - [ - "一", - "曲" - ], - [ - "且", - "不" - ], - [ - "▁RNA", - "s" - ], - [ - "▁RN", - "As" - ], - [ - "▁", - "RNAs" - ], - [ - "mark", - "ed" - ], - [ - "进", - "货" - ], - [ - "的", - "未来" - ], - [ - "数据", - "中心" - ], - [ - "病", - "房" - ], - [ - "轻", - "薄" - ], - [ - "ID", - "I" - ], - [ - "I", - "DI" - ], - [ - "Su", - "ch" - ], - [ - "S", - "uch" - ], - [ - "nl", - "ibrary" - ], - [ - "n", - "library" - ], - [ - "▁t", - "etr" - ], - [ - "▁te", - "tr" - ], - [ - "▁tet", - "r" - ], - [ - "▁Nic", - "ole" - ], - [ - "▁Ni", - "cole" - ], - [ - "▁Nicol", - "e" - ], - [ - "▁n", - "otions" - ], - [ - "▁not", - "ions" - ], - [ - "▁notion", - "s" - ], - [ - "一", - "朝" - ], - [ - "基", - "建" - ], - [ - "好", - "感" - ], - [ - "玩家", - "的" - ], - [ - "玩", - "家的" - ], - [ - "gr", - "own" - ], - [ - "gro", - "wn" - ], - [ - "grow", - "n" - ], - [ - "g", - "rown" - ], - [ - "▁emphas", - "izes" - ], - [ - "▁emphasize", - "s" - ], - [ - "大", - "体" - ], - [ - "\"/", - "\"" - ], - [ - "\"", - "/\"" - ], - [ - "/\"", - "," - ], - [ - "/", - "\"," - ], - [ - "▁fem", - "inist" - ], - [ - "▁femin", - "ist" - ], - [ - "▁C", - "yt" - ], - [ - "▁Cy", - "t" - ], - [ - "公共", - "交通" - ], - [ - "Fr", - "ance" - ], - [ - "F", - "rance" - ], - [ - "▁Croat", - "ian" - ], - [ - "▁Croatia", - "n" - ], - [ - "▁encour", - "agement" - ], - [ - "▁encourage", - "ment" - ], - [ - "展", - "厅" - ], - [ - "装", - "机" - ], - [ - "林业", - "局" - ], - [ - "()", - ");" - ], - [ - "())", - ";" - ], - [ - "(", - "));" - ], - [ - "党建", - "工作" - ], - [ - "持", - "股" - ], - [ - "提", - "炼" - ], - [ - "是", - "世界" - ], - [ - "大部分", - "人" - ], - [ - "Gu", - "ide" - ], - [ - "Gui", - "de" - ], - [ - "Guid", - "e" - ], - [ - "▁O", - "Auth" - ], - [ - "▁OA", - "uth" - ], - [ - "▁", - "OAuth" - ], - [ - "▁Sol", - "omon" - ], - [ - "▁Solo", - "mon" - ], - [ - "▁enc", - "oder" - ], - [ - "▁encode", - "r" - ], - [ - "▁", - "encoder" - ], - [ - "乖", - "乖" - ], - [ - "标", - "杆" - ], - [ - "留", - "守" - ], - [ - "预", - "案" - ], - [ - "ta", - "dd" - ], - [ - "t", - "add" - ], - [ - "Tr", - "ait" - ], - [ - "Tra", - "it" - ], - [ - "T", - "rait" - ], - [ - "▁U", - "nix" - ], - [ - "▁Un", - "ix" - ], - [ - "▁Uni", - "x" - ], - [ - "▁", - "Unix" - ], - [ - "▁H", - "idden" - ], - [ - "▁", - "Hidden" - ], - [ - "▁Slovak", - "ia" - ], - [ - "自", - "适应" - ], - [ - "将自己", - "的" - ], - [ - "将", - "自己的" - ], - [ - "▁产品", - "类型" - ], - [ - "▁", - "产品类型" - ], - [ - "▁Sur", - "ve" - ], - [ - "▁Surv", - "e" - ], - [ - "▁T", - "ables" - ], - [ - "▁Table", - "s" - ], - [ - "▁Ta", - "bles" - ], - [ - "▁Tab", - "les" - ], - [ - "▁", - "Tables" - ], - [ - "▁genu", - "inely" - ], - [ - "▁genuine", - "ly" - ], - [ - "▁super", - "conduct" - ], - [ - "一", - "见" - ], - [ - "圣", - "母" - ], - [ - "不少", - "人" - ], - [ - "如今", - "的" - ], - [ - "▁\"", - ",\"" - ], - [ - "▁\",", - "\"" - ], - [ - "▁", - "\",\"" - ], - [ - "t", - "rivial" - ], - [ - "▁mean", - "while" - ], - [ - "二手", - "车" - ], - [ - "I", - "iw" - ], - [ - "▁\"", - ",\\" - ], - [ - "▁\",", - "\\" - ], - [ - "▁", - "\",\\" - ], - [ - "党风", - "廉政" - ], - [ - "▁King", - "ston" - ], - [ - "▁Kings", - "ton" - ], - [ - "▁seam", - "lessly" - ], - [ - "▁seamless", - "ly" - ], - [ - "用", - "工" - ], - [ - "迪士", - "尼" - ], - [ - "▁sh", - "red" - ], - [ - "▁shr", - "ed" - ], - [ - "linked", - "in" - ], - [ - "以上资料", - "仅供参考" - ], - [ - "申请人", - "于" - ], - [ - "百度", - "小说" - ], - [ - "▁公司", - "性质" - ], - [ - "▁sn", - "ail" - ], - [ - "▁per", - "cutaneous" - ], - [ - "光", - "绪" - ], - [ - "能", - "用" - ], - [ - "那一", - "刻" - ], - [ - "那", - "一刻" - ], - [ - "▁l", - "asers" - ], - [ - "▁laser", - "s" - ], - [ - "▁las", - "ers" - ], - [ - "金", - "陵" - ], - [ - "to", - "ne" - ], - [ - "ton", - "e" - ], - [ - "t", - "one" - ], - [ - "具体情况", - 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], - [ - "▁ampl", - "ified" - ], - [ - "▁paper", - "work" - ], - [ - "第十", - "二章" - ], - [ - "第十二", - "章" - ], - [ - "第", - "十二章" - ], - [ - "▁or", - "ch" - ], - [ - "▁", - "orch" - ], - [ - "nE", - "mail" - ], - [ - "nEm", - "ail" - ], - [ - "n", - "Email" - ], - [ - "▁el", - "bow" - ], - [ - "贷款", - "基准利率" - ], - [ - "爆", - "破" - ], - [ - "红", - "薯" - ], - [ - "do", - "w" - ], - [ - "d", - "ow" - ], - [ - "变速", - "箱" - ], - [ - "time", - "d" - ], - [ - "tim", - "ed" - ], - [ - "ti", - "med" - ], - [ - "▁R", - "osa" - ], - [ - "▁Ro", - "sa" - ], - [ - "▁Ros", - "a" - ], - [ - "conf", - "idence" - ], - [ - "汉", - "堡" - ], - [ - "oh", - "o" - ], - [ - "o", - "ho" - ], - [ - "也是", - "有" - ], - [ - "也", - "是有" - ], - [ - "▁e", - "rect" - ], - [ - "▁er", - "ect" - ], - [ - "Source", - "s" - ], - [ - "S", - "ources" - ], - [ - "▁W", - "idget" - ], - [ - "▁Wid", - "get" - ], - [ - "▁", - "Widget" - ], - [ - "▁refr", - "active" - ], - [ - "台", - "州" - ], - [ - "回", - "味" - ], - [ - "▁P", - "ipe" - ], - [ - "▁Pi", - "pe" - ], - [ - "▁Pip", - "e" - ], - [ - "▁", - "Pipe" - ], - [ - "▁f", - "ellows" - ], - [ - "▁fellow", - "s" - ], - [ - "▁fell", - "ows" - ], - [ - "Organ", - "ization" - ], - [ - "▁U", - "m" - ], - [ - "▁im", - "perfect" - ], - [ - "▁imper", - "fect" - ], - [ - "▁success", - "ion" - ], - [ - "▁suc", - "cession" - ], - [ - "▁succ", - "ession" - ], - [ - "▁F", - "o" - ], - [ - "南通", - "市" - ], - [ - "▁Se", - "ems" - ], - [ - "▁See", - "ms" - ], - [ - "▁dis", - "ks" - ], - [ - "▁disk", - "s" - ], - [ - "cult", - "ure" - ], - [ - "c", - "ulture" - ], - [ - "▁glomer", - "ular" - ], - [ - "R", - "J" - ], - [ - "讲", - "授" - ], - [ - "经常", - "会" - ], - [ - "ink", - "les" - ], - [ - "inkle", - "s" - ], - [ - "筛", - "查" - ], - [ - "谈", - "论" - ], - [ - "▁m", - "ás" - ], - [ - "▁K", - "ang" - ], - [ - "▁Ka", - "ng" - ], - [ - "▁Kan", - "g" - ], - [ - "▁n", - "ore" - ], - [ - "▁no", - "re" - ], - [ - "▁nor", - "e" - ], - [ - "Over", - "lay" - ], - [ - "▁all", - "ocate" - ], - 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], - [ - "▁D", - "erek" - ], - [ - "▁De", - "rek" - ], - [ - "▁Der", - "ek" - ], - [ - "扭", - "矩" - ], - [ - "行业", - "中" - ], - [ - "ma", - "ch" - ], - [ - "mac", - "h" - ], - [ - "m", - "ach" - ], - [ - "nf", - "ig" - ], - [ - "nfi", - "g" - ], - [ - "n", - "fig" - ], - [ - "你是", - "不是" - ], - [ - "你", - "是不是" - ], - [ - "这", - "批" - ], - [ - "▁i", - "k" - ], - [ - "▁", - "ik" - ], - [ - "月", - "开始" - ], - [ - "▁prolifer", - "ative" - ], - [ - "胡", - "同" - ], - [ - "($", - "{" - ], - [ - "(", - "${" - ], - [ - "这些", - "东西" - ], - [ - "之日起", - "十五日内" - ], - [ - "▁c", - "atches" - ], - [ - "▁catch", - "es" - ], - [ - "▁cat", - "ches" - ], - [ - "w", - "k" - ], - [ - "她", - "就" - ], - [ - "价格", - "为" - ], - [ - "ab", - "us" - ], - [ - "a", - "bus" - ], - [ - "ns", - "erver" - ], - [ - "n", - "server" - ], - [ - "nt", - "arget" - ], - [ - "n", - "target" - ], - [ - "Http", - "Request" - ], - [ - "最美", - "的" - ], - [ - "最", - "美的" - ], - [ - "一直", - "没有" - ], - [ - "Par", - "ts" - ], - [ - "Part", - "s" - ], - [ - "P", - "arts" - ], - [ - "之", - "年" - ], - [ - "án", - "d" - ], - [ - "á", - "nd" - ], - [ - "ra", - "no" - ], - [ - "ran", - "o" - ], - [ - "r", - "ano" - ], - [ - "第六", - "十条" - ], - [ - "me", - "aning" - ], - [ - "mean", - "ing" - ], - [ - "凝", - "固" - ], - [ - "建", - "新" - ], - [ - "江", - "汉" - ], - [ - "尼", - "西亚" - ], - [ - "的", - "产生" - ], - [ - "重", - "金属" - ], - [ - "ac", - "use" - ], - [ - "应准予", - "离婚" - ], - [ - "oli", - "nergic" - ], - [ - "olin", - "ergic" - ], - [ - "洗", - "碗" - ], - [ - "产品", - "有" - ], - [ - "日", - "消息" - ], - [ - "::", - "__" - ], - [ - "哥伦", - "比亚" - ], - [ - "清偿", - "责任" - ], - [ - "at", - "hing" - ], - [ - "ath", - "ing" - ], - [ - "athi", - "ng" - ], - [ - "a", - "thing" - ], - [ - "▁Dr", - "ake" - ], - [ - "mo", - "unted" - ], - [ - "mount", - "ed" - ], - [ - "▁post", - "doctoral" - ], - [ - "亲", - "手" - ], - [ - "无", - "双" - ], - [ - "bird", - "s" - ], - [ - "bir", - "ds" - ], - [ - "b", - "irds" - ], - [ - "nH", - "elp" - ], - [ - "nHe", - "lp" - ], - [ - "nHel", - "p" - ], - [ - "n", - "Help" - ], - [ - "二〇一七年", - "九" - ], - [ - "W", - "s" - ], - [ - "考", - "入" - ], - [ - "建议", - "你" - ], - [ - "Ro", - "ll" - ], - [ - "R", - "oll" - ], - [ - "▁f", - "name" - ], - [ - "▁fn", - "ame" - ], - [ - "▁", - "fname" - ], - [ - "▁br", - "eeds" - ], - [ - "▁bre", - "eds" - ], - [ - "▁breed", - "s" - ], - [ - "氧化", - "物" - ], - [ - "nG", - "en" - ], - [ - "nGe", - "n" - ], - [ - "n", - "Gen" - ], - [ - "消防", - "安全" - ], - [ - "▁temp", - "file" - ], - [ - "短", - "缺" - ], - [ - "ス", - "ト" - ], - [ - "等", - "我" - ], - [ - "香", - "烟" - ], - [ - "▁C", - "VD" - ], - [ - "▁CV", - "D" - ], - [ - "▁e", - "rotic" - ], - [ - "▁er", - "otic" - ], - [ - "nB", - "esides" - ], - [ - "▁Bel", - "fast" - ], - [ - "▁Belf", - "ast" - ], - [ - "▁pl", - "anner" - ], - [ - "▁plan", - "ner" - ], - [ - "▁bench", - "marks" - ], - [ - "▁benchmark", - "s" - ], - [ - "▁", - "凯" - ], - [ - "弥", - "漫" - ], - [ - "情", - "愿" - ], - [ - "拓", - "扑" - ], - [ - "纲", - "要" - ], - [ - "损害", - "国家" - ], - [ - "▁accommod", - "ations" - ], - [ - "▁accommodation", - "s" - ], - [ - "破", - "损" - ], - [ - "镀", - "锌" - ], - [ - "nN", - "OTE" - ], - [ - "nNO", - "TE" - ], - [ - "n", - "NOTE" - ], - [ - "▁M", - "usk" - ], - [ - "▁Mus", - "k" - ], - [ - "▁Mu", - "sk" - ], - [ - "有什么", - "区别" - ], - [ - "▁par", - "cel" - ], - [ - "recip", - "itation" - ], - [ - "椅", - "子" - ], - [ - "段", - "子" - ], - [ - "中文", - "版" - ], - [ - "只是", - "在" - ], - [ - "只", - "是在" - ], - [ - "set", - "ter" - ], - [ - "sett", - "er" - ], - [ - "s", - "etter" - ], - [ - "nM", - "unicip" - ], - [ - "身", - "子" - ], - [ - "如实供述", - "自己" - ], - [ - "nCom", - "ment" - ], - [ - "n", - "Comment" - ], - [ - "短", - "线" - ], - [ - "▁I", - "b" - ], - [ - "amin", - "ergic" - ], - [ - "ami", - "nergic" - ], - [ - "▁per", - "ceive" - ], - [ - "▁im", - "plication" - ], - [ - "▁impl", - "ication" - ], - [ - "▁dem", - "ographics" - ], - [ - "▁demo", - "graphics" - ], - [ - "▁demographic", - "s" - ], - [ - "清", - "真" - ], - [ - "芳", - "草" - ], - [ - "pa", - "s" - ], - [ - "p", - "as" - ], - [ - "Fl", - "at" - ], - [ - "F", - "lat" - ], - [ - "▁s", - "ir" - ], - [ - "▁si", - "r" - ], - [ - "▁sh", - "rimp" - ], - [ - "▁shr", - "imp" - ], - [ - "区人民检察院", - "指派检察员" - ], - [ - "t", - "N" - ], - [ - "治", - "病" - ], - [ - "Po", - "t" - ], - [ - "P", - "ot" - ], - [ - "全", - "过程" - ], - [ - "避免", - "了" - ], - [ - "▁j", - "ur" - ], - [ - "▁ju", - "r" - ], - [ - "EN", - "TRY" - ], - [ - "ENT", - "RY" - ], - [ - "▁M", - "ant" - ], - [ - "▁Man", - "t" - ], - [ - "▁Ma", - "nt" - ], - [ - "Let", - "ter" - ], - [ - "L", - "etter" - ], - [ - "▁R", - "IGHT" - ], - [ - "▁", - "RIGHT" - ], - [ - "rop", - "olis" - ], - [ - "▁cin", - "namon" - ], - [ - "▁P", - "ediatric" - ], - [ - "▁Ped", - "iatric" - ], - [ - "黄", - "豆" - ], - [ - "cu", - "m" - ], - [ - "c", - "um" - ], - [ - "宣判", - "后" - ], - [ - "输出", - "样例" - ], - [ - "▁L", - "ank" - ], - [ - "▁La", - "nk" - ], - [ - "▁Lan", - "k" - ], - 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"V" - ], - [ - "▁", - "ENV" - ], - [ - "cons", - "uming" - ], - [ - "consum", - "ing" - ], - [ - "▁frag", - "rance" - ], - [ - "▁fragr", - "ance" - ], - [ - "了", - "下" - ], - [ - "BO", - "DY" - ], - [ - "B", - "ODY" - ], - [ - "▁g", - "uild" - ], - [ - "▁gu", - "ild" - ], - [ - "▁gui", - "ld" - ], - [ - "▁", - "guild" - ], - [ - "杭州", - "市中级人民法院" - ], - [ - "杭州市", - "中级人民法院" - ], - [ - "杭", - "州市中级人民法院" - ], - [ - "社", - "群" - ], - [ - "淮南", - "市" - ], - [ - "淮", - "南市" - ], - [ - "▁V", - "id" - ], - [ - "▁Vi", - "d" - ], - [ - "▁fin", - "ale" - ], - [ - "▁final", - "e" - ], - [ - "▁decor", - "ator" - ], - [ - "▁", - "decorator" - ], - [ - "▁capac", - "itance" - ], - [ - "▁synerg", - "istic" - ], - [ - "汤", - "匙" - ], - [ - "胡", - "某" - ], - [ - "▁", - "专业" - ], - [ - "mo", - "cha" - ], - [ - "m", - "ocha" - ], - [ - "ob", - "jective" - ], - [ - "object", - "ive" - ], - [ - "obj", - "ective" - ], - [ - "▁fact", - "orial" - ], - [ - "▁factor", - "ial" - ], - [ - "▁headqu", - "artered" - 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"者" - ], - [ - "监", - "局" - ], - [ - "防", - "空" - ], - [ - "▁D", - "N" - ], - [ - "▁", - "DN" - ], - [ - "ro", - "tic" - ], - [ - "rot", - "ic" - ], - [ - "r", - "otic" - ], - [ - "DO", - "MAIN" - ], - [ - "DOM", - "AIN" - ], - [ - "可", - "控" - ], - [ - "fa", - "ker" - ], - [ - "fake", - "r" - ], - [ - "f", - "aker" - ], - [ - "tr", - "ail" - ], - [ - "tra", - "il" - ], - [ - "t", - "rail" - ], - [ - "Set", - "ter" - ], - [ - "S", - "etter" - ], - [ - "▁ST", - "ART" - ], - [ - "▁STAR", - "T" - ], - [ - "▁", - "START" - ], - [ - "▁cand", - "les" - ], - [ - "▁candle", - "s" - ], - [ - "▁as", - "piration" - ], - [ - "▁aspir", - "ation" - ], - [ - "▁asp", - "iration" - ], - [ - "▁W", - "T" - ], - [ - "▁", - "WT" - ], - [ - "完全", - "是" - ], - [ - "完", - "全是" - ], - [ - "th", - "irds" - ], - [ - "third", - "s" - ], - [ - "authent", - "icated" - ], - [ - "authenticate", - "d" - ], - [ - "▁", - "非" - ], - [ - "格", - "斗" - ], - [ - "▁D", - "ear" - ], - [ - "▁De", - "ar" - ], - [ - "▁", - "Dear" - 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[ - "rib", - "ly" - ], - [ - "r", - "ibly" - ], - [ - "准许", - "上诉人" - ], - [ - "byte", - "rian" - ], - [ - "byter", - "ian" - ], - [ - "他们", - "对" - ], - [ - "边长", - "为" - ], - [ - "边", - "长为" - ], - [ - "ut", - "en" - ], - [ - "ute", - "n" - ], - [ - "u", - "ten" - ], - [ - "▁w", - "ag" - ], - [ - "▁wa", - "g" - ], - [ - "第七十九条", - "和" - ], - [ - "hou", - "ette" - ], - [ - "▁Sm", - "ooth" - ], - [ - "▁tr", - "ader" - ], - [ - "▁trad", - "er" - ], - [ - "▁tra", - "der" - ], - [ - "▁trade", - "r" - ], - [ - "▁state", - "wide" - ], - [ - "中", - "段" - ], - [ - "打", - "到" - ], - [ - "财经", - "大学" - ], - [ - "igh", - "bour" - ], - [ - "ighb", - "our" - ], - [ - "th", - "ermal" - ], - [ - "ther", - "mal" - ], - [ - "nReg", - "ards" - ], - [ - "▁Gujar", - "at" - ], - [ - "od", - "ds" - ], - [ - "odd", - "s" - ], - [ - "▁r", - "oses" - ], - [ - "▁ro", - "ses" - ], - [ - "▁rose", - "s" - ], - [ - "▁ros", - "es" - ], - [ - "▁respect", - "s" - ], - [ - "▁resp", - "ects" - ], - [ - "Ti", - "O" - ], - [ - "T", - "iO" - ], - [ - "▁B", - "eg" - ], - [ - "▁Be", - "g" - ], - [ - "CM", - "ake" - ], - [ - "C", - "Make" - ], - [ - "oss", - "ible" - ], - [ - "rec", - "ursive" - ], - [ - "医", - "治" - ], - [ - "触", - "及" - ], - [ - "th", - "or" - ], - [ - "t", - "hor" - ], - [ - "SE", - "CON" - ], - [ - "SEC", - "ON" - ], - [ - "▁pl", - "eas" - ], - [ - "▁ple", - "as" - ], - [ - "▁plea", - "s" - ], - [ - "▁bow", - "ling" - ], - [ - "▁bowl", - "ing" - ], - [ - "▁cock", - "tails" - ], - [ - "▁cocktail", - "s" - ], - [ - "▁Ach", - "ievement" - ], - [ - "▁commission", - "er" - ], - [ - "发现被执行人有", - "财产可供执行" - ], - [ - "Di", - "e" - ], - [ - "D", - "ie" - ], - [ - "等", - "活动" - ], - [ - "中国", - "企业" - ], - [ - "税务", - "总局" - ], - [ - "▁sc", - "av" - ], - [ - "▁A", - "hmad" - ], - [ - "▁Ah", - "mad" - ], - [ - "▁fibr", - "oblast" - ], - [ - "▁fibro", - "blast" - ], - [ - "世界", - "里" - ], - [ - "ut", - "an" - ], - [ - "uta", - "n" - ], - [ - "u", - "tan" - ], - [ - "▁M", - "odal" - ], - [ - "▁Mod", - "al" - ], - [ - "▁Mo", - "dal" - ], - [ - "▁", - "Modal" - ], - [ - "二〇一六年", - "十月" - ], - [ - "二〇一六年十", - "月" - ], - [ - "find", - "ViewById" - ], - [ - "不", - "自" - ], - [ - "在", - "被" - ], - [ - "红", - "十字" - ], - [ - "at", - "ham" - ], - [ - "ath", - "am" - ], - [ - "atha", - "m" - ], - [ - "iaz", - "ep" - ], - [ - "▁l", - "one" - ], - [ - "▁lo", - "ne" - ], - [ - "▁lon", - "e" - ], - [ - "Res", - "olve" - ], - [ - "Re", - "solve" - ], - [ - "▁Phil", - "lip" - ], - [ - "▁Phill", - "ip" - ], - [ - "▁h", - "acking" - ], - [ - "▁hack", - "ing" - ], - [ - "▁electroly", - "te" - ], - [ - "ancellation", - "Token" - ], - [ - "一", - "扫" - ], - [ - "纯", - "属" - ], - [ - "ne", - "gie" - ], - [ - "neg", - "ie" - ], - [ - "▁Non", - "linear" - ], - [ - "▁s", - "mo" - ], - [ - "▁sm", - "o" - ], - [ - "raw", - "ling" - ], - [ - "rawl", - "ing" - ], - [ - "in", - "cluded" - ], - [ - "include", - "d" - ], - [ - "▁entrepreneur", - "ial" - ], - [ - "大", - "都" - ], - [ - "越", - "小" - ], - [ - "ato", - 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], - [ - "第一", - "部分" - ], - [ - "第一部", - "分" - ], - [ - "第", - "一部分" - ], - [ - "nMount", - "ains" - ], - [ - "▁view", - "point" - ], - [ - "李", - "小" - ], - [ - "皇", - "马" - ], - [ - "当前", - "的" - ], - [ - "当", - "前的" - ], - [ - "nP", - "ay" - ], - [ - "n", - "Pay" - ], - [ - "Cy", - "cle" - ], - [ - "C", - "ycle" - ], - [ - "▁h", - "airy" - ], - [ - "▁hair", - "y" - ], - [ - "▁ha", - "iry" - ], - [ - "oblast", - "s" - ], - [ - "obl", - "asts" - ], - [ - "o", - "blasts" - ], - [ - "▁har", - "bor" - ], - [ - "▁harb", - "or" - ], - [ - "e", - "j" - ], - [ - "嘉", - "奖" - ], - [ - "如", - "期" - ], - [ - "蝙", - "蝠" - ], - [ - "▁", - "俱乐部" - ], - [ - "所", - "产生的" - ], - [ - "dag", - "ger" - ], - [ - "d", - "agger" - ], - [ - "▁Can", - "terbury" - ], - [ - "_", - "*" - ], - [ - "过", - "量" - ], - [ - "▁s", - "late" - ], - [ - "▁sl", - "ate" - ], - [ - "二〇一七年", - "六" - ], - [ - "本", - "领" - ], - [ - "ip", - "v" - ], - [ - "i", - "pv" - ], - [ - "条件", - "和" - ], - [ - "所", - "带来的" - ], - [ - "▁p", - 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], - [ - "Th", - "ink" - ], - [ - "Un", - "til" - ], - [ - "U", - "ntil" - ], - [ - "nI", - "tem" - ], - [ - "nIt", - "em" - ], - [ - "n", - "Item" - ], - [ - "而", - "有所不同" - ], - [ - "附带", - "民事诉讼" - ], - [ - "附带民事", - "诉讼" - ], - [ - "tem", - "poral" - ], - [ - "temp", - "oral" - ], - [ - "t", - "emporal" - ], - [ - "Inter", - "action" - ], - [ - "▁", - "风" - ], - [ - "车", - "轮" - ], - [ - "▁都市", - "言情" - ], - [ - "pr", - "esso" - ], - [ - "press", - "o" - ], - [ - "pres", - "so" - ], - [ - "判决生效后", - "十日内" - ], - [ - "介", - "意" - ], - [ - "提供", - "的证据" - ], - [ - "提供的", - "证据" - ], - [ - "第一百四十", - "四条的规定" - ], - [ - "第一百四十四", - "条的规定" - ], - [ - "第一百四十四条", - "的规定" - ], - [ - "▁Cont", - "ributors" - ], - [ - "一", - "枝" - ], - [ - "较小", - "的" - ], - [ - "较", - "小的" - ], - [ - "op", - "py" - ], - [ - "opp", - "y" - ], - [ - "▁G", - "ian" - ], - [ - "▁Gi", - "an" - ], - [ - "▁te", - "amed" - ], - [ - "▁team", - "ed" - ], - [ - "▁tea", - "med" - ], - [ - "▁four", - "teen" - ], - [ - "与", - 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], - [ - "▁Util", - "ities" - ], - [ - "▁", - "Utilities" - ], - [ - "▁Active", - "Record" - ], - [ - "▁hepat", - "ocellular" - ], - [ - "军", - "民" - ], - [ - "押", - "金" - ], - [ - "cre", - "ative" - ], - [ - "creat", - "ive" - ], - [ - "▁Rain", - "bow" - ], - [ - "tg", - "z" - ], - [ - "t", - "gz" - ], - [ - "惠州", - "市" - ], - [ - "惠", - "州市" - ], - [ - "io", - "la" - ], - [ - "iol", - "a" - ], - [ - "i", - "ola" - ], - [ - "请", - "告诉我" - ], - [ - "骑", - "行" - ], - [ - "ae", - "s" - ], - [ - "a", - "es" - ], - [ - "也", - "希望" - ], - [ - "非常", - "适合" - ], - [ - "但", - "债权的实现" - ], - [ - "min", - "imal" - ], - [ - "mini", - "mal" - ], - [ - "▁Exec", - "ution" - ], - [ - "▁", - "Execution" - ], - [ - "▁aer", - "uginosa" - ], - [ - "周", - "日" - ], - [ - "投", - "降" - ], - [ - "盐", - "酸" - ], - [ - "支行", - "的" - ], - [ - "支", - "行的" - ], - [ - "的一", - "句话" - ], - [ - "的", - "一句话" - ], - [ - "ab", - "bit" - ], - [ - "abb", - "it" - ], - [ - "理论", - "与实践" - ], - [ - "理论与", - "实践" - ], - [ - "确定", - 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], - [ - "nCh", - "ristian" - ], - [ - "nChrist", - "ian" - ], - [ - "n", - "Christian" - ], - [ - "▁public", - "ity" - ], - [ - "找", - "了" - ], - [ - "滥", - "用" - ], - [ - "我也", - "不知道" - ], - [ - "我也不", - "知道" - ], - [ - "我", - "也不知道" - ], - [ - "提起的", - "诉讼" - ], - [ - "你", - "来" - ], - [ - "佳", - "节" - ], - [ - "灯", - "火" - ], - [ - "老", - "妈" - ], - [ - "的", - "特殊" - ], - [ - "这么", - "做" - ], - [ - "马", - "铃薯" - ], - [ - "▁P", - "hp" - ], - [ - "▁Ph", - "p" - ], - [ - "▁", - "Php" - ], - [ - "两种", - "情况" - ], - [ - "质保", - "时间" - ], - [ - "an", - "king" - ], - [ - "ank", - "ing" - ], - [ - "arc", - "tan" - ], - [ - "arct", - "an" - ], - [ - "上诉于", - "河南省" - ], - [ - "元", - "宵" - ], - [ - "唐", - "诗" - ], - [ - "尽", - "头" - ], - [ - "承", - "德" - ], - [ - "▁r", - "t" - ], - [ - "▁", - "rt" - ], - [ - "好用", - "的" - ], - [ - "好", - "用的" - ], - [ - "For", - "t" - ], - [ - "F", - "ort" - ], - [ - "保证", - "责任" - ], - [ - "着自己", - "的" - ], - [ - "着", - "自己的" - ], - [ - "st", - "ash" - ], - 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], - [ - "ea", - "s" - ], - [ - "e", - "as" - ], - [ - "▁F", - "CC" - ], - [ - "▁FC", - "C" - ], - [ - "查询", - "回执" - ], - [ - "▁L", - "ucky" - ], - [ - "▁Luc", - "ky" - ], - [ - "▁Luck", - "y" - ], - [ - "▁un", - "bel" - ], - [ - "▁ph", - "antom" - ], - [ - "▁", - "phantom" - ], - [ - "▁ear", - "rings" - ], - [ - "免", - "去" - ], - [ - "广", - "元" - ], - [ - "水", - "温" - ], - [ - "珍", - "藏" - ], - [ - "战略", - "合作" - ], - [ - "无论", - "如何" - ], - [ - "表扬", - "奖励" - ], - [ - "av", - "oid" - ], - [ - "avo", - "id" - ], - [ - "a", - "void" - ], - [ - "▁lon", - "ely" - ], - [ - "▁lone", - "ly" - ], - [ - "▁Tex", - "ture" - ], - [ - "▁Text", - "ure" - ], - [ - "▁", - "Texture" - ], - [ - "有管辖权的", - "人民法院" - ], - [ - "生态", - "系统" - ], - [ - "▁insp", - "ections" - ], - [ - "▁inspection", - "s" - ], - [ - "▁inspect", - "ions" - ], - [ - "qu", - "a" - ], - [ - "q", - "ua" - ], - [ - "ab", - "er" - ], - [ - "abe", - "r" - ], - [ - "a", - "ber" - ], - [ - "Qu", - "est" - ], - [ - "Que", - "st" - ], - 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"ay" - ], - [ - "▁pict", - "ured" - ], - [ - "▁picture", - "d" - ], - [ - "蒙", - "特" - ], - [ - "▁Craw", - "ford" - ], - [ - "▁vers", - "atility" - ], - [ - "▁versa", - "tility" - ], - [ - "换", - "热" - ], - [ - "璀", - "璨" - ], - [ - "融", - "化" - ], - [ - "较", - "量" - ], - [ - "附", - "着" - ], - [ - "buk", - "kit" - ], - [ - "nc", - "olor" - ], - [ - "ncol", - "or" - ], - [ - "nco", - "lor" - ], - [ - "n", - "color" - ], - [ - "fa", - "ctors" - ], - [ - "factor", - "s" - ], - [ - "fact", - "ors" - ], - [ - "f", - "actors" - ], - [ - "开", - "场" - ], - [ - "航", - "运" - ], - [ - "nu", - "id" - ], - [ - "n", - "uid" - ], - [ - "就是", - "这么" - ], - [ - "▁w", - "oven" - ], - [ - "▁wo", - "ven" - ], - [ - "▁Georg", - "ian" - ], - [ - "▁Georgia", - "n" - ], - [ - "充", - "要" - ], - [ - "抽", - "屉" - ], - [ - "▁l", - "g" - ], - [ - "▁", - "lg" - ], - [ - "听说", - "过" - ], - [ - "听", - "说过" - ], - [ - "ha", - "na" - ], - [ - "han", - "a" - ], - [ - "h", - "ana" - ], - [ - "ony", - "ms" - ], - [ - "onym", - 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], - [ - "▁dec", - "lines" - ], - [ - "▁decl", - "ines" - ], - [ - "▁decline", - "s" - ], - [ - "这是一道", - "关于多学科知识的选择题" - ], - [ - "中", - "去" - ], - [ - "居", - "多" - ], - [ - "牌", - "照" - ], - [ - "x", - "or" - ], - [ - "C", - "rypt" - ], - [ - "B", - "rowse" - ], - [ - "▁N", - "orton" - ], - [ - "▁Nor", - "ton" - ], - [ - "传", - "出" - ], - [ - "依", - "题意" - ], - [ - "oy", - "er" - ], - [ - "oye", - "r" - ], - [ - "o", - "yer" - ], - [ - "vin", - "e" - ], - [ - "vi", - "ne" - ], - [ - "v", - "ine" - ], - [ - "▁A", - "FP" - ], - [ - "▁AF", - "P" - ], - [ - "一如", - "既往" - ], - [ - "审慎", - "考虑" - ], - [ - "▁C", - "airo" - ], - [ - "▁Ca", - "iro" - ], - [ - "▁C", - "ivic" - ], - [ - "▁Ci", - "vic" - ], - [ - "In", - "jection" - ], - [ - "Inject", - "ion" - ], - [ - "停", - "在" - ], - [ - "现", - "存" - ], - [ - "▁用", - "法" - ], - [ - "▁", - "用法" - ], - [ - "因", - "生活" - ], - [ - "nL", - "es" - ], - [ - "nLe", - "s" - ], - [ - "n", - "Les" - ], - [ - "po", - "on" - ], - [ - "p", - "oon" - ], - 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"t", - "list" - ], - [ - "▁THE", - "N" - ], - [ - "▁TH", - "EN" - ], - [ - "▁pop", - "up" - ], - [ - "▁", - "popup" - ], - [ - "▁tor", - "ture" - ], - [ - "▁tort", - "ure" - ], - [ - "part", - "icles" - ], - [ - "particle", - "s" - ], - [ - "p", - "articles" - ], - [ - "▁fil", - "enames" - ], - [ - "▁file", - "names" - ], - [ - "▁filename", - "s" - ], - [ - "▁waters", - "hed" - ], - [ - "B", - "W" - ], - [ - "免", - "除" - ], - [ - "嫁", - "给" - ], - [ - "窒", - "息" - ], - [ - "血", - "脉" - ], - [ - "re", - "lu" - ], - [ - "rel", - "u" - ], - [ - "▁T", - "odo" - ], - [ - "▁To", - "do" - ], - [ - "▁", - "Todo" - ], - [ - "▁w", - "edge" - ], - [ - "▁wed", - "ge" - ], - [ - "▁", - "wedge" - ], - [ - "内容", - "如下所示" - ], - [ - "民事执行中", - "查封" - ], - [ - "Read", - "Line" - ], - [ - "▁brace", - "let" - ], - [ - "ke", - "a" - ], - [ - "k", - "ea" - ], - [ - "▁H", - "ew" - ], - [ - "▁He", - "w" - ], - [ - "nw", - "ork" - ], - [ - "n", - "work" - ], - [ - "▁c", - "ones" - ], - [ - "▁con", - "es" - ], - 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"nce" - ], - [ - "▁crit", - "ique" - ], - [ - "监", - "制" - ], - [ - "做好", - "了" - ], - [ - "做", - "好了" - ], - [ - "▁ext", - "rav" - ], - [ - "▁extra", - "v" - ], - [ - "▁extr", - "av" - ], - [ - "▁Re", - "porter" - ], - [ - "▁Rep", - "orter" - ], - [ - "▁Report", - "er" - ], - [ - "▁", - "Reporter" - ], - [ - "▁contract", - "ile" - ], - [ - "▁unexpected", - "ly" - ], - [ - "鼻", - "炎" - ], - [ - "我们", - "有" - ], - [ - "▁d", - "ei" - ], - [ - "▁de", - "i" - ], - [ - "sc", - "anner" - ], - [ - "scan", - "ner" - ], - [ - "▁abs", - "urd" - ], - [ - "▁ins", - "erts" - ], - [ - "▁insert", - "s" - ], - [ - "鸟", - "类" - ], - [ - "bul", - "k" - ], - [ - "b", - "ulk" - ], - [ - "▁S", - "lot" - ], - [ - "▁Sl", - "ot" - ], - [ - "▁Slo", - "t" - ], - [ - "▁", - "Slot" - ], - [ - "▁h", - "eur" - ], - [ - "▁he", - "ur" - ], - [ - "可供", - "您选择" - ], - [ - "ou", - "ched" - ], - [ - "ouch", - "ed" - ], - [ - "sec", - "rets" - ], - [ - "secret", - "s" - ], - [ - "Pr", - "eference" - ], - [ - "Pre", - "ference" - ], - [ - "P", - "reference" - ], - [ - "Compat", - "Activity" - ], - [ - "红", - "茶" - ], - [ - "青", - "椒" - ], - [ - "▁{", - "%" - ], - [ - "▁", - "{%" - ], - [ - "中国", - "画" - ], - [ - "中", - "国画" - ], - [ - "是", - "这个" - ], - [ - "的", - "优点" - ], - [ - "st", - "ay" - ], - [ - "sta", - "y" - ], - [ - "荆", - "州" - ], - [ - "nU", - "N" - ], - [ - "n", - "UN" - ], - [ - "桂林", - "市" - ], - [ - "▁C", - "ly" - ], - [ - "▁Cl", - "y" - ], - [ - "▁F", - "unk" - ], - [ - "▁Fun", - "k" - ], - [ - "▁Fu", - "nk" - ], - [ - "▁rad", - "ios" - ], - [ - "▁radio", - "s" - ], - [ - "▁radi", - "os" - ], - [ - "▁tr", - "actor" - ], - [ - "▁tra", - "ctor" - ], - [ - "▁tract", - "or" - ], - [ - "starts", - "With" - ], - [ - "▁for", - "bidden" - ], - [ - "香", - "料" - ], - [ - "医疗", - "卫生" - ], - [ - "然后", - "告诉我" - ], - [ - "请告诉我", - "您的选择" - ], - [ - "conf", - "irmed" - ], - [ - "confirm", - "ed" - ], - [ - "日向本院提出", - "财产保全" - ], - [ - "▁narr", - "atives" - ], - [ - "▁narrative", - "s" - ], - [ - "请仔细阅读", - "下面这道选择题" - ], - [ - "请", - "仔细阅读下面这道选择题" - ], - [ - "文", - "旅" - ], - [ - "中", - "全会" - ], - [ - "的", - "课程" - ], - [ - "某某", - "负担" - ], - [ - "某", - "某负担" - ], - [ - "▁Sal", - "em" - ], - [ - "▁Sa", - "lem" - ], - [ - "▁Sale", - "m" - ], - [ - "▁st", - "igma" - ], - [ - "▁phosphory", - "lated" - ], - [ - "瓷", - "器" - ], - [ - "长", - "子" - ], - [ - "Sk", - "y" - ], - [ - "S", - "ky" - ], - [ - "高", - "精度" - ], - [ - "▁a", - "ur" - ], - [ - "▁au", - "r" - ], - [ - "▁", - "aur" - ], - [ - "▁l", - "ord" - ], - [ - "▁lo", - "rd" - ], - [ - "▁", - "lord" - ], - [ - "De", - "ploy" - ], - [ - "Dep", - "loy" - ], - [ - "card", - "ia" - ], - [ - "古", - "装" - ], - [ - "备", - "战" - ], - [ - "武", - "警" - ], - [ - "金", - "字" - ], - [ - "▁号", - "码" - ], - [ - "▁", - "号码" - ], - [ - "去年", - "的" - ], - [ - "去", - "年的" - ], - [ - "▁Tw", - "elve" - ], - [ - "▁s", - "prite" - ], - [ - "▁sp", - "rite" - ], - [ - "▁spr", - "ite" - ], - [ - "▁", - "sprite" - ], - [ - "中华人民共和国", - "土地管理法" - ], - [ - "追", - "捧" - ], - [ - "速度", - "和" - ], - [ - "速", - "度和" - ], - [ - "▁J", - "ag" - ], - [ - "▁Ja", - "g" - ], - [ - "Back", - "up" - ], - [ - "▁Be", - "tty" - ], - [ - "▁Bet", - "ty" - ], - [ - "知识渊博", - "的人" - ], - [ - "▁Bal", - "let" - ], - [ - "▁Ball", - "et" - ], - [ - "等", - "诸多" - ], - [ - "组织", - "中" - ], - [ - "il", - "in" - ], - [ - "ili", - "n" - ], - [ - "i", - "lin" - ], - [ - "更多", - "信息" - ], - [ - "注册", - "资金" - ], - [ - "▁he", - "ir" - ], - [ - "▁p", - "erv" - ], - [ - "▁per", - "v" - ], - [ - "▁pe", - "rv" - ], - [ - "▁pay", - "day" - ], - [ - "园", - "艺" - ], - [ - "iz", - "i" - ], - [ - "i", - "zi" - ], - [ - "多万", - "元" - ], - [ - "多", - "万元" - ], - [ - "添加", - "了" - ], - [ - "添", - "加了" - ], - [ - "您认为", - "的" - ], - [ - "▁", - "占地面积" - ], - [ - "人民卫生", - "出版社" - ], - [ - "▁anticip", - "ation" - ], - [ - "▁antic", - "ipation" - ], - [ - "N", - "X" - ], - [ - "读", - "写" - ], - [ - "EP", - "S" - ], - [ - "E", - "PS" - ], - [ - "应", - "依法" - ], - [ - "Lo", - "ss" - ], - [ - "L", - "oss" - ], - [ - "继续", - "进行" - ], - [ - "AC", - "TER" - ], - [ - "ACT", - "ER" - ], - [ - "▁pl", - "ur" - ], - [ - "▁L", - "opez" - ], - [ - "▁Lo", - "pez" - ], - [ - "re", - "levant" - ], - [ - "▁hon", - "esty" - ], - [ - "▁honest", - "y" - ], - [ - "▁hone", - "sty" - ], - [ - "▁individual", - "ized" - ], - [ - "白", - "领" - ], - [ - "nK", - "en" - ], - [ - "nKe", - "n" - ], - [ - "n", - "Ken" - ], - [ - "请用", - "您的" - ], - [ - "ar", - "box" - ], - [ - "arb", - "ox" - ], - [ - "▁M", - "ens" - ], - [ - "▁Me", - "ns" - ], - [ - "▁Men", - "s" - ], - [ - "▁E", - "qual" - ], - [ - "▁Equ", - "al" - ], - [ - "▁Eq", - "ual" - ], - [ - "▁", - "Equal" - ], - [ - "▁", - "维" - ], - [ - "Ne", - "ver" - ], - [ - "N", - "ever" - ], - [ - "请您务必", - "注意" - ], - [ - "在回答", - "以下这道" - ], - [ - "问题和选项", - "的内容" - ], - [ - "▁work", - "sheet" - ], - [ - "▁works", - "heet" - ], - [ - "从选项中", - "选定正确答案" - ], - [ - "具有挑战性的", - "选择题时" - ], - [ - "▁ast", - "rocytes" - ], - [ - "▁astr", - "ocytes" - ], - [ - "请您务必注意", - 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], - [ - "南阳", - "市" - ], - [ - "南", - "阳市" - ], - [ - "以下", - "命令" - ], - [ - "▁l", - "aughter" - ], - [ - "▁laugh", - "ter" - ], - [ - "▁imp", - "ressions" - ], - [ - "▁impression", - "s" - ], - [ - "▁impress", - "ions" - ], - [ - "约", - "占" - ], - [ - "理由", - "正当" - ], - [ - "dor", - "ff" - ], - [ - "dorf", - "f" - ], - [ - "gu", - "ess" - ], - [ - "gue", - "ss" - ], - [ - "▁a", - "vid" - ], - [ - "▁av", - "id" - ], - [ - "▁", - "avid" - ], - [ - "▁Wes", - "ley" - ], - [ - "current", - "Time" - ], - [ - "混", - "淆" - ], - [ - "迷", - "人" - ], - [ - "▁X", - "Y" - ], - [ - "▁", - "XY" - ], - [ - "开放", - "式" - ], - [ - "指出", - "了" - ], - [ - "指", - "出了" - ], - [ - "ox", - "id" - ], - [ - "li", - "kes" - ], - [ - "like", - "s" - ], - [ - "lik", - "es" - ], - [ - "l", - "ikes" - ], - [ - "▁C", - "hal" - ], - [ - "▁Ch", - "al" - ], - [ - "▁Cha", - "l" - ], - [ - "▁V", - "ERY" - ], - [ - "▁VE", - "RY" - ], - [ - "▁", - "VERY" - ], - [ - "▁f", - "erm" - ], - [ - "▁fe", - "rm" - ], - [ - "▁fer", - "m" - ], - [ - "nAd", - "min" - ], - [ - "n", - "Admin" - ], - [ - "▁s", - "arcoma" - ], - [ - "▁sar", - "coma" - ], - [ - "▁sarc", - "oma" - ], - [ - "▁advert", - "ise" - ], - [ - "▁advertis", - "e" - ], - [ - "长", - "短" - ], - [ - "领", - "略" - ], - [ - "灵敏", - "度" - ], - [ - "▁S", - "eth" - ], - [ - "▁Se", - "th" - ], - [ - "▁Set", - "h" - ], - [ - "open", - "ssl" - ], - [ - "opens", - "sl" - ], - [ - "XXXX", - "XXXX" - ], - [ - "ell", - "aneous" - ], - [ - "季", - "后" - ], - [ - "解", - "散" - ], - [ - "▁L", - "t" - ], - [ - "的一", - "段" - ], - [ - "的", - "一段" - ], - [ - "起诉", - "必须" - ], - [ - "请选择", - "你认为" - ], - [ - "found", - "land" - ], - [ - "д", - "у" - ], - [ - "不", - "归" - ], - [ - "此", - "地" - ], - [ - "专", - "升本" - ], - [ - "如果", - "你想" - ], - [ - "如果你", - "想" - ], - [ - "请选择你认为", - "合适的答案" - ], - [ - "人", - "权" - ], - [ - "丫", - "头" - ], - [ - "丽", - "莎" - ], - [ - "营", - "利" - ], - [ - "转", - "子" - ], - [ - "都", - "喜欢" - ], - [ - "森林", - "公园" - ], - [ - "▁J", - "agu" - ], - [ - "▁Ja", - "gu" - ], - [ - "▁Jag", - "u" - ], - [ - "p", - "uppet" - ], - [ - "|", - "[" - ], - [ - "LE", - "N" - ], - [ - "L", - "EN" - ], - [ - "fl", - "uent" - ], - [ - "flu", - "ent" - ], - [ - "f", - "luent" - ], - [ - "▁pione", - "ering" - ], - [ - "▁pioneer", - "ing" - ], - [ - "心", - "率" - ], - [ - "OT", - "H" - ], - [ - "O", - "TH" - ], - [ - "▁{", - "/" - ], - [ - "▁", - "{/" - ], - [ - "吸血", - "鬼" - ], - [ - "请", - "审查" - ], - [ - "近", - "距离" - ], - [ - "严格", - "执行" - ], - [ - "▁Thom", - "son" - ], - [ - "astruct", - "ural" - ], - [ - "a", - "structural" - ], - [ - "▁file", - "system" - ], - [ - "▁files", - "ystem" - ], - [ - "▁", - "filesystem" - ], - [ - "▁cent", - "imeters" - ], - [ - "准", - "时" - ], - [ - "坏", - "人" - ], - [ - "移", - "交" - ], - [ - "……", - "[" - ], - [ - "fin", - "e" - ], - [ - "fi", - "ne" - ], - [ - "f", - "ine" - ], - [ - "▁h", - "oc" - ], - [ - "▁ho", - "c" - ], - [ - "▁", - "hoc" - ], - [ - "ne", - "num" - ], - [ - "nen", - "um" - ], - [ - "n", - "enum" - ], - [ - "urt", - "les" - ], - [ - "urtle", - "s" - ], - [ - "实际应用", - "领域" - ], - [ - "▁r", - "ented" - ], - [ - "▁rent", - "ed" - ], - [ - "他", - "俩" - ], - [ - "录", - "入" - ], - [ - "面", - "目" - ], - [ - "co", - "rs" - ], - [ - "cor", - "s" - ], - [ - "c", - "ors" - ], - [ - "▁B", - "yz" - ], - [ - "▁By", - "z" - ], - [ - "▁b", - "lu" - ], - [ - "▁bl", - "u" - ], - [ - "发展", - "方向" - ], - [ - "人民检察院", - "以" - ], - [ - "▁d", - "oping" - ], - [ - "▁do", - "ping" - ], - [ - "▁dop", - "ing" - ], - [ - "▁pet", - "rol" - ], - [ - "最高人民法院关于", - "执行案件立案" - ], - [ - "发", - "给" - ], - [ - "失", - "控" - ], - [ - "次", - "于" - ], - [ - "起", - "初" - ], - [ - "▁", - "开发商" - ], - [ - "第十", - "三章" - ], - [ - "第十三", - "章" - ], - [ - "第", - "十三章" - ], - [ - "选择", - "是什么" - ], - [ - "▁F", - "loyd" - ], - [ - "▁Flo", - "yd" - ], - [ - "get", - "Type" - ], - [ - "▁cr", - "acked" - ], - [ - "▁crack", - "ed" - ], - [ - "▁contr", - "asting" - ], - [ - "▁contrast", - "ing" - ], - [ - "参", - "见" - ], - 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], - [ - "▁Ac", - "counts" - ], - [ - "▁Account", - "s" - ], - [ - "▁", - "Accounts" - ], - [ - "▁gang", - "lion" - ], - [ - "▁Inter", - "state" - ], - [ - "两", - "款" - ], - [ - "这", - "组" - ], - [ - "▁", - "代表" - ], - [ - "依赖", - "于" - ], - [ - "▁Col", - "our" - ], - [ - "▁Start", - "up" - ], - [ - "▁", - "Startup" - ], - [ - "生效之日起", - "十日内" - ], - [ - "▁Chrom", - "ium" - ], - [ - "inter", - "action" - ], - [ - "围", - "观" - ], - [ - "得", - "罪" - ], - [ - "om", - "od" - ], - [ - "omo", - "d" - ], - [ - "o", - "mod" - ], - [ - "▁H", - "ers" - ], - [ - "▁He", - "rs" - ], - [ - "▁Her", - "s" - ], - [ - "if", - "olia" - ], - [ - "dim", - "ensions" - ], - [ - "dimension", - "s" - ], - [ - "d", - "imensions" - ], - [ - "sp", - "awn" - ], - [ - "不", - "甘" - ], - [ - "汉", - "书" - ], - [ - "语", - "境" - ], - [ - "In", - "B" - ], - [ - "I", - "nB" - ], - [ - "了一", - "年" - ], - [ - "了", - "一年" - ], - [ - "小数", - "的" - ], - [ - "小", - "数的" - ], - [ - "▁i", - "ris" - ], - [ - "▁ir", - "is" - ], - [ - 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"ks" - ], - [ - "▁suck", - "s" - ], - [ - "自然人", - "投资或控股" - ], - [ - "工", - "况" - ], - [ - "nL", - "ow" - ], - [ - "nLo", - "w" - ], - [ - "n", - "Low" - ], - [ - "cl", - "ang" - ], - [ - "c", - "lang" - ], - [ - "▁p", - "ops" - ], - [ - "▁pop", - "s" - ], - [ - "▁po", - "ps" - ], - [ - "▁b", - "ricks" - ], - [ - "▁br", - "icks" - ], - [ - "▁brick", - "s" - ], - [ - "▁dil", - "ution" - ], - [ - "V", - "i" - ], - [ - "с", - "ь" - ], - [ - "一", - "章" - ], - [ - "粮", - "油" - ], - [ - "限", - "时" - ], - [ - "全", - "明星" - ], - [ - "成功", - "地" - ], - [ - "社会", - "组织" - ], - [ - "Sk", - "ill" - ], - [ - "S", - "kill" - ], - [ - "lox", - "acin" - ], - [ - "▁inev", - "itably" - ], - [ - "▁serial", - "ized" - ], - [ - "▁serialize", - "d" - ], - [ - "▁", - "serialized" - ], - [ - "小", - "微" - ], - [ - "水电", - "站" - ], - [ - "水", - "电站" - ], - [ - "之间", - "存在" - ], - [ - "▁L", - "ands" - ], - [ - "▁Land", - "s" - ], - [ - "▁Lan", - "ds" - ], - [ - "▁Ro", - "oms" - ], - [ - "▁Room", - "s" - ], - [ - "▁T", - "uple" - ], - [ - "▁Tu", - "ple" - ], - [ - "▁", - "Tuple" - ], - [ - "▁Jac", - "obs" - ], - [ - "▁Jacob", - "s" - ], - [ - "▁gall", - "ons" - ], - [ - "▁gallon", - "s" - ], - [ - "▁warrant", - "ed" - ], - [ - "话", - "剧" - ], - [ - "看不", - "懂" - ], - [ - "看", - "不懂" - ], - [ - "nC", - "ity" - ], - [ - "n", - "City" - ], - [ - "科学", - "研究院" - ], - [ - "科学研究", - "院" - ], - [ - "▁Gib", - "bs" - ], - [ - "know", - "ledge" - ], - [ - "低", - "端" - ], - [ - "▁L", - "R" - ], - [ - "▁", - "LR" - ], - [ - "江门", - "市" - ], - [ - "江", - "门市" - ], - [ - "一次", - "函数" - ], - [ - "▁R", - "oma" - ], - [ - "▁Ro", - "ma" - ], - [ - "▁Rom", - "a" - ], - [ - "▁qu", - "ir" - ], - [ - "▁qui", - "r" - ], - [ - "▁", - "quir" - ], - [ - "▁liqu", - "or" - ], - [ - "eth", - "asone" - ], - [ - "ver", - "ified" - ], - [ - "▁gad", - "gets" - ], - [ - "▁transl", - "ating" - ], - [ - "戴", - "着" - ], - [ - "细", - "微" - ], - [ - "no", - "id" - ], - [ - "n", - "oid" - ], - [ - "▁C", - "OX" - ], - [ - "▁CO", - "X" - ], - [ - "既", - "包含了" - ], - [ - "▁L", - "ing" - ], - [ - "▁Lin", - "g" - ], - [ - "▁Li", - "ng" - ], - [ - "▁ed", - "its" - ], - [ - "▁edit", - "s" - ], - [ - "par", - "ametric" - ], - [ - "param", - "etric" - ], - [ - "para", - "metric" - ], - [ - "paramet", - "ric" - ], - [ - "失", - "落" - ], - [ - "点", - "头" - ], - [ - "准确", - "地" - ], - [ - "要", - "根据" - ], - [ - "发布", - "会上" - ], - [ - "发布会", - "上" - ], - [ - "anch", - "ez" - ], - [ - "anche", - "z" - ], - [ - "▁Py", - "thag" - ], - [ - "▁ev", - "apor" - ], - [ - "▁evap", - "or" - ], - [ - "▁Col", - "eman" - ], - [ - "▁Cole", - "man" - ], - [ - "▁pos", - "itivity" - ], - [ - "▁posit", - "ivity" - ], - [ - "隐", - "隐" - ], - [ - "再", - "进行" - ], - [ - "政策", - "根据" - ], - [ - "ex", - "tras" - ], - [ - "ext", - "ras" - ], - [ - "extra", - "s" - ], - [ - "extr", - "as" - ], - [ - "▁re", - "plicated" - ], - [ - "▁replic", - "ated" - ], - [ - "▁replicate", - "d" - ], - [ - "▁replica", - "ted" - ], - [ - "不", - "还" - ], - [ - "保", - "质" - ], - [ - "辨", - "证" - ], - [ - "▁", - "调料" - ], - [ - "ia", - "st" - ], - [ - "ias", - "t" - ], - [ - "i", - "ast" - ], - [ - "▁L", - "ua" - ], - [ - "▁Lu", - "a" - ], - [ - "行政", - "管理" - ], - [ - "请仔细", - "浏览" - ], - [ - "并给出", - "正确答案" - ], - [ - "古", - "巴" - ], - [ - "缠", - "绕" - ], - [ - "位数", - "是" - ], - [ - "位", - "数是" - ], - [ - "县委", - "常委" - ], - [ - "县", - "委常委" - ], - [ - "在面对", - "以下" - ], - [ - "请您", - "认真分析" - ], - [ - "▁Dec", - "imal" - ], - [ - "▁", - "Decimal" - ], - [ - "并告诉我", - "您的选择" - ], - [ - "在面对以下", - "选择题时" - ], - [ - "▁econom", - "ist" - ], - [ - "请仔细浏览", - "以下备选答案" - ], - [ - "请您认真分析", - "并给出正确答案" - ], - [ - "假", - "冒" - ], - [ - "全", - "班" - ], - [ - "来", - "院" - ], - [ - "金黄", - "色" - ], - [ - "金", - "黄色" - ], - [ - "主要", - "种植" - ], - [ - "住", - "上海市" - ], - [ - "fl", - "ask" - ], - [ - "Rich", - "ard" - ], - [ - "R", - "ichard" - ], - [ - "▁Bever", - "ly" - ], - [ - "install", - "ation" - ], - [ - "Not", - "ifications" - ], - [ - "Notification", - "s" - ], - [ - "此", - "生" - ], - [ - "翼", - "翼" - ], - [ - "Co", - "V" - ], - [ - "成交", - "量" - ], - [ - "▁S", - "ta" - ], - [ - "▁St", - "a" - ], - [ - "如何", - "使用" - ], - [ - "▁DO", - "WN" - ], - [ - "▁", - "DOWN" - ], - [ - "▁T", - "ested" - ], - [ - "▁Te", - "sted" - ], - [ - "▁Test", - "ed" - ], - [ - "▁Tes", - "ted" - ], - [ - "Draw", - "able" - ], - [ - "ovolta", - "ic" - ], - [ - "渣", - "男" - ], - [ - "英", - "勇" - ], - [ - "物质", - "的" - ], - [ - "物", - "质的" - ], - [ - "Aw", - "are" - ], - [ - "A", - "ware" - ], - [ - "▁d", - "uplex" - ], - [ - "▁du", - "plex" - ], - [ - "▁", - "duplex" - ], - [ - "▁fire", - "arms" - ], - [ - "▁firearm", - "s" - ], - [ - "▁Land", - "scape" - ], - [ - "▁disappoint", - "ment" - ], - [ - "他", - "却" - ], - [ - "汲", - "取" - ], - [ - "bo", - "b" - ], - [ - "b", - "ob" - ], - [ - "▁N", - "ec" - ], - [ - "▁Ne", - "c" - ], - [ - "后", - "可" - ], - [ - "奢侈", - "品" - ], - [ - "▁e", - "ps" - ], - [ - "▁ep", - "s" - ], - [ - "▁", - "eps" - ], - [ - "不断", - "创新" - ], - [ - "▁Bl", - "ank" - ], - [ - "▁", - "Blank" - ], - [ - "▁sm", - "arter" - ], - [ - "▁smart", - "er" - ], - [ - "劳务", - "费" - ], - [ - "▁B", - "org" - ], - [ - "▁Bo", - "rg" - ], - [ - "▁Bor", - "g" - ], - [ - "▁Un", - "iv" - ], - [ - "▁Uni", - "v" - ], - [ - "per", - "ing" - ], - [ - "pe", - "ring" - ], - [ - "p", - "ering" - ], - [ - "①", - "②" - ], - [ - "区", - "位" - ], - [ - "纯", - "洁" - ], - [ - "诗", - "集" - ], - [ - "AC", - "A" - ], - [ - "A", - "CA" - ], - [ - "wo", - "rm" - ], - [ - "wor", - "m" - ], - [ - "w", - "orm" - ], - [ - "▁P", - "Cs" - ], - [ - "▁PC", - "s" - ], - [ - "▁", - "PCs" - ], - [ - "可以", - "裁定" - ], - [ - "▁c", - "ysts" - ], - [ - "▁cy", - "sts" - ], - [ - "▁cyst", - "s" - ], - [ - "▁sp", - "oil" - ], - [ - "▁spo", - "il" - ], - [ - "点", - "亮" - ], - [ - "保持", - "了" - ], - [ - "Ij", - "oi" - ], - [ - "ad", - "an" - ], - [ - "ada", - "n" - ], - [ - "a", - "dan" - ], - [ - "ur", - "ger" - ], - [ - "urg", - "er" - ], - [ - "▁M", - "are" - ], - [ - "▁Mar", - "e" - ], - [ - "▁Ma", - "re" - ], - [ - "法", - "民初字第" - ], - [ - "current", - "ly" - ], - [ - "curr", - "ently" - ], - [ - "▁custom", - "izable" - ], - [ - "▁A", - "UTO" - ], - [ - "▁AU", - "TO" - ], - [ - "▁", - "AUTO" - ], - [ - "▁p", - "lat" - ], - [ - "▁pl", - "at" - ], - [ - "▁", - "plat" - ], - [ - "▁E", - "VERY" - ], - [ - "▁EV", - "ERY" - ], - [ - "房地产开发", - "有限责任公司" - ], - [ - "但债权的实现", - "取决于被执行人是否有" - ], - [ - "▁'", - "_" - ], - [ - "▁", - "'_" - ], - [ - "就是", - "我" - ], - [ - "就", - "是我" - ], - [ - "并", - "表示" - ], - [ - "在校", - "学生" - ], - [ - "ot", - "ron" - ], - [ - "otr", - "on" - ], - [ - "o", - "tron" - ], - [ - "ale", - "igh" - ], - [ - "a", - "leigh" - ], - [ - "▁con", - "serve" - ], - [ - "▁cons", - "erve" - ], - [ - "▁conserv", - "e" - ], - [ - "▁over", - "haul" - ], - [ - "parallel", - "ed" - ], - [ - "paralle", - "led" - ], - [ - "最", - "先" - ], - [ - "%)", - ";" - ], - [ - "%", - ");" - ], - [ - "nF", - "eb" - ], - [ - "nFe", - "b" - ], - [ - "n", - "Feb" - ], - [ - "使用", - "的是" - ], - [ - "使用的", - "是" - ], - [ - "使", - "用的是" - ], - [ - "▁m", - "ega" - ], - [ - "▁me", - "ga" - ], - [ - "▁meg", - "a" - ], - [ - "▁", - "mega" - ], - [ - "nAnd", - "rew" - ], - [ - "n", - "Andrew" - ], - [ - "▁D", - "reams" - ], - [ - "▁Dream", - "s" - ], - [ - "あ", - "る" - ], - [ - "盛", - "会" - ], - [ - "nK", - "n" - ], - [ - "n", - "Kn" - ], - [ - "不", - "方便" - ], - [ - "ob", - "ox" - ], - [ - "obo", - "x" - ], - [ - "o", - "box" - ], - [ - "▁play", - "ful" - ], - [ - "pre", - "diction" - ], - [ - "pred", - "iction" - ], - [ - "predict", - "ion" - ], - [ - "▁duplic", - "ates" - ], - [ - "▁duplicate", - "s" - ], - [ - "之", - "声" - ], - [ - "京", - "城" - ], - [ - "插", - "图" - ], - [ - "Ac", - "k" - ], - [ - "A", - "ck" - ], - [ - "眼中", - "的" - ], - [ - "眼", - "中的" - ], - [ - "nA", - "ust" - ], - [ - "nC", - "amp" - ], - [ - "nCam", - "p" - ], - [ - "n", - "Camp" - ], - [ - "St", - "able" - ], - [ - "S", - "table" - ], - [ - "pro", - "pag" - ], - [ - "prop", - "ag" - ], - [ - "▁sh", - "uffle" - ], - [ - "▁", - "shuffle" - ], - [ - "▁sm", - "iling" - ], - [ - "▁res", - "piration" - ], - [ - "▁respir", - "ation" - ], - [ - "▁resp", - "iration" - ], - [ - "▁un", - "subscribe" - ], - [ - "上", - "进" - ], - [ - "很有", - "可能" - ], - [ - "很", - "有可能" - ], - [ - "我是", - "一个" - ], - [ - "我", - "是一个" - ], - [ - "isp", - "ens" - ], - [ - "▁ful", - "fil" - ], - [ - "号", - "牌" - ], - [ - "诗", - "文" - ], - [ - "_{", - "(" - ], - [ - "_", - "{(" - ], - [ - "▁L", - "ig" - ], - [ - "▁Li", - "g" - ], - [ - "企业", - "形象" - ], - [ - "执行", - "程序" - ], - [ - "▁s", - "ued" - ], - [ - "▁su", - "ed" - ], - [ - "▁sue", - "d" - ], - [ - "生产建设", - "兵团" - ], - [ - "nG", - "etting" - ], - [ - "nGet", - "ting" - ], - [ - "n", - "Getting" - ], - [ - "▁Hal", - "ifax" - ], - [ - "中", - "进行" - ], - [ - "民事", - "责任" - ], - [ - "▁a", - "uch" - ], - [ - "▁au", - "ch" - ], - [ - "▁De", - "mand" - ], - [ - "▁Dem", - "and" - ], - [ - "▁Hash", - "Set" - ], - [ - "▁", - "HashSet" - ], - [ - "包", - "厢" - ], - [ - "方式", - "和" - ], - [ - "看不", - "起" - ], - [ - "看", - "不起" - ], - [ - "▁Ne", - "ut" - ], - [ - "▁bl", - "ur" - ], - [ - "▁blu", - "r" - ], - [ - "▁K", - "ernel" - ], - [ - "▁Ker", - "nel" - ], - [ - "▁", - "Kernel" - ], - [ - "▁", - "要" - ], - [ - "手", - "足" - ], - [ - "跳", - "过" - ], - [ - "进", - "场" - ], - [ - "wh", - "it" - ], - [ - "w", - "hit" - ], - [ - "in", - "tel" - ], - [ - "int", - "el" - ], - [ - "著作权", - "集体" - ], - [ - "▁Ferr", - "ari" - ], - [ - "▁there", - "of" - ], - [ - "▁per", - "inatal" - ], - [ - "▁peri", - "natal" - ], - [ - "五", - "六" - ], - [ - "大", - "象" - ], - [ - "选", - "址" - ], - [ - "▁o", - "ps" - ], - [ - "▁op", - "s" - ], - [ - "▁", - "ops" - ], - [ - "nS", - "imple" - ], - [ - "nSim", - "ple" - ], - [ - "nSimpl", - "e" - ], - [ - "n", - "Simple" - ], - [ - "▁Min", - "ecraft" - ], - [ - "▁Mine", - "craft" - ], - [ - "<", - ">" - ], - [ - "族", - "群" - ], - [ - "ym", - "n" - ], - [ - "y", - "mn" - ], - [ - "为", - "重点" - ], - [ - "动画", - "片" - ], - [ - "安装", - "了" - ], - [ - "现代", - "农业" - ], - [ - "▁P", - "itch" - ], - [ - "▁Pit", - "ch" - ], - [ - "▁pil", - "gr" - ], - [ - "▁Ed", - "mund" - ], - [ - "▁compre", - "hend" - ], - [ - "可", - "由" - ], - [ - "小", - "哥" - ], - [ - "废", - "气" - ], - [ - "想", - "吃" - ], - [ - "扶", - "养" - ], - [ - "▁K", - "um" - ], - [ - "▁Ku", - "m" - ], - [ - "draw", - "able" - ], - [ - "can", - "onical" - ], - [ - "▁inc", - "ision" - ], - [ - "科学记数法的表示", - "形式为" - ], - [ - "与", - "李" - ], - [ - "在", - "各" - ], - [ - "担", - "负" - ], - [ - "为主", - "料的" - ], - [ - "上面", - "这个问题" - ], - [ - "财", - "运" - ], - [ - "Jo", - "e" - ], - [ - "J", - "oe" - ], - [ - "g", - "kin" - ], - [ - "若干", - "选项" - ], - [ - "主要", - "负责人" - ], - [ - "的其他", - "财产" - ], - [ - "▁polymer", - "ization" - ], - [ - "宋", - "朝" - ], - [ - "巡", - "回" - ], - [ - "捆", - "绑" - ], - [ - "邮", - "局" - ], - [ - "os", - "m" - ], - [ - "o", - "sm" - ], - [ - "坚定", - "的" - ], - [ - "坚", - "定的" - ], - [ - "▁L", - "AN" - ], - [ - "▁LA", - "N" - ], - [ - "▁", - "LAN" - ], - [ - "开户", - "银行" - ], - [ - "职业", - "道德" - ], - [ - "he", - "sus" - ], - [ - "hes", - "us" - ], - [ - "h", - "esus" - ], - [ - "pt", - "ical" - ], - [ - "ptic", - "al" - ], - [ - "p", - "tical" - ], - [ - "sh", - "ader" - ], - [ - "sha", - "der" - ], - [ - "ter", - "ase" - ], - [ - "te", - "rase" - ], - [ - "tera", - "se" - ], - [ - "t", - "erase" - ], - [ - "▁A", - "eros" - ], - [ - "▁Aer", - "os" - ], - [ - "att", - "ices" - ], - [ - "attice", - "s" - ], - [ - "atti", - "ces" - ], - [ - "ki", - "p" - ], - [ - "k", - "ip" - ], - [ - "一直", - "都是" - ], - [ - "然后", - "点击" - ], - [ - "计算机", - "网络" - ], - [ - "这是一道", - "需" - ], - [ - "分析这些", - "选项" - ], - [ - "综合运用多", - "方面" - ], - [ - "▁Par", - "king" - ], - [ - "▁Park", - "ing" - ], - [ - "▁pl", - "otted" - ], - [ - "▁plot", - "ted" - ], - [ - "▁br", - "ighter" - ], - [ - "▁bright", - "er" - ], - [ - "▁dipl", - "omat" - ], - [ - "▁diplom", - "at" - ], - [ - "▁diploma", - "t" - ], - [ - "请仔细", - "分析这些选项" - ], - [ - "然后告诉我", - "您的最佳选择" - ], - [ - "这是一道需", - "综合运用多方面" - ], - [ - "th", - "i" - ], - [ - "t", - "hi" - ], - [ - "保持", - "在" - ], - [ - "SA", - "TA" - ], - [ - "SAT", - "A" - ], - [ - "S", - "ATA" - ], - [ - "Da", - "ily" - ], - [ - "D", - "aily" - ], - [ - "内容", - "判断出" - ], - [ - "包含一个", - "问题和" - ], - [ - "内容判断出", - "您认为" - ], - [ - "以下内容", - "包含一个问题和" - ], - [ - "▁Pseud", - "omonas" - ], - [ - "依据问题", - "内容判断出您认为" - ], - [ - "以下内容包含一个问题和", - "若干选项" - ], - [ - "前", - "夕" - ], - [ - "感", - "性" - ], - [ - "这", - "儿" - ], - [ - "El", - "l" - ], - [ - "E", - "ll" - ], - [ - "法律", - "的" - ], - [ - "魔法", - "师" - ], - [ - "魔", - "法师" - ], - [ - "or", - "ax" - ], - [ - "ora", - "x" - ], - [ - "o", - "rax" - ], - [ - "▁A", - "FL" - ], - [ - "▁AF", - "L" - ], - [ - "▁A", - "gu" - ], - [ - "▁Ag", - "u" - ], - [ - "▁V", - "oy" - ], - [ - "▁Vo", - "y" - ], - [ - "fil", - "ls" - ], - [ - "fill", - "s" - ], - [ - "f", - "ills" - ], - [ - "▁M", - "aint" - ], - [ - "▁Main", - "t" - ], - [ - "▁Ma", - "int" - ], - [ - "▁Mai", - "nt" - ], - [ - "short", - "cuts" - ], - [ - "▁W", - "ik" - ], - [ - "▁Wi", - "k" - ], - [ - "UM", - "ENT" - ], - [ - "U", - "MENT" - ], - [ - "in", - "itis" - ], - [ - "init", - "is" - ], - [ - "ini", - "tis" - ], - [ - "le", - "ctic" - ], - [ - "lect", - "ic" - ], - [ - "lec", - "tic" - ], - [ - "▁Alex", - "a" - ], - [ - "▁Ale", - "xa" - ], - [ - "▁em", - "pathy" - ], - [ - "▁emp", - "athy" - ], - [ - "▁Est", - "onian" - ], - [ - "▁Eston", - "ian" - ], - [ - "▁Estonia", - "n" - ], - [ - ",", - "{" - ], - [ - "▁A", - "ML" - ], - [ - "▁AM", - "L" - ], - [ - "▁", - "AML" - ], - [ - "周边", - "配套" - ], - [ - "▁D", - "ash" - ], - [ - "▁Da", - "sh" - ], - [ - "▁Das", - "h" - ], - [ - "▁", - "Dash" - ], - [ - "turn", - "ed" - ], - [ - "tur", - "ned" - ], - [ - "▁f", - "b" - ], - [ - "▁", - "fb" - ], - [ - "erial", - "izer" - ], - [ - "erialize", - "r" - ], - [ - "▁re", - "create" - ], - [ - "▁rec", - "reate" - ], - [ - "毛", - "细" - ], - [ - "短", - "片" - ], - [ - "cs", - 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], - [ - "的", - "还是" - ], - [ - "nA", - "mb" - ], - [ - "nAm", - "b" - ], - [ - "n", - "Amb" - ], - [ - "oblast", - "ic" - ], - [ - "obl", - "astic" - ], - [ - "▁vacc", - "inated" - ], - [ - "▁vaccin", - "ated" - ], - [ - "烤", - "肉" - ], - [ - "热", - "衷" - ], - [ - "为他", - "们" - ], - [ - "为", - "他们" - ], - [ - "审判", - "庭" - ], - [ - "与被", - "上诉人" - ], - [ - "与", - "被上诉人" - ], - [ - "access", - "or" - ], - [ - "▁Stand", - "ing" - ], - [ - "▁Stan", - "ding" - ], - [ - "▁compass", - "ionate" - ], - [ - "▁compassion", - "ate" - ], - [ - "机动车交通事故责任", - "纠纷一案中" - ], - [ - "机动车交通事故责任纠纷一案", - "中" - ], - [ - "无", - "言" - ], - [ - "猕", - "猴" - ], - [ - "着", - "作" - ], - [ - "得出", - "答案" - ], - [ - "龙头", - "企业" - ], - [ - "is", - "dir" - ], - [ - "on", - "ium" - ], - [ - "oni", - "um" - ], - [ - "给定", - "的问题" - ], - [ - "给定的", - "问题" - ], - [ - "▁sup", - "erc" - ], - [ - "▁super", - "c" - ], - [ - "▁non", - "atomic" - ], - [ - "▁", - "nonatomic" - ], - [ - "毛", - "衣" - ], - [ - "的", - "快" - ], - 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], - [ - "一分", - "钟" - ], - [ - "一", - "分钟" - ], - [ - "至少", - "要" - ], - [ - "是否", - "可以" - ], - [ - "in", - "ium" - ], - [ - "ini", - "um" - ], - [ - "▁p", - "leasing" - ], - [ - "▁ple", - "asing" - ], - [ - "▁pleas", - "ing" - ], - [ - "▁plea", - "sing" - ], - [ - "▁assist", - "ants" - ], - [ - "▁assistant", - "s" - ], - [ - "二", - "三" - ], - [ - "奋", - "力" - ], - [ - "j", - "Query" - ], - [ - "▁p", - "ests" - ], - [ - "▁pe", - "sts" - ], - [ - "▁pest", - "s" - ], - [ - "▁pes", - "ts" - ], - [ - "\\\\\":", - "\\\\\"" - ], - [ - "▁depict", - "ing" - ], - [ - "▁", - "来" - ], - [ - "近", - "些" - ], - [ - "逃", - "生" - ], - [ - "fe", - "ng" - ], - [ - "fen", - "g" - ], - [ - "f", - "eng" - ], - [ - "▁c", - "aud" - ], - [ - "▁ca", - "ud" - ], - [ - "opath", - "ology" - ], - [ - "▁Rec", - "ording" - ], - [ - "▁Record", - "ing" - ], - [ - "▁Ge", - "ographic" - ], - [ - "▁Geo", - "graphic" - ], - [ - "▁interfer", - "ing" - ], - [ - "▁interf", - "ering" - ], - [ - "刻", - "录" - ], - [ - "ka", - 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], - [ - "亦", - "是" - ], - [ - "低", - "迷" - ], - [ - "写", - "道" - ], - [ - "加", - "尔" - ], - [ - "筹", - "划" - ], - [ - "▁", - "创办" - ], - [ - "al", - "ist" - ], - [ - "ali", - "st" - ], - [ - "alis", - "t" - ], - [ - "a", - "list" - ], - [ - "▁D", - "onna" - ], - [ - "▁Don", - "na" - ], - [ - "hand", - "led" - ], - [ - "handle", - "d" - ], - [ - "▁sm", - "oked" - ], - [ - "▁smoke", - "d" - ], - [ - "▁gran", - "ules" - ], - [ - "▁granul", - "es" - ], - [ - "▁integr", - "in" - ], - [ - "oo", - "oo" - ], - [ - "Re", - "try" - ], - [ - "Ret", - "ry" - ], - [ - "R", - "etry" - ], - [ - "▁N", - "ath" - ], - [ - "▁Na", - "th" - ], - [ - "▁Nat", - "h" - ], - [ - "申请", - "执行费" - ], - [ - "申请执行", - "费" - ], - [ - "出具借条", - "一份" - ], - [ - "▁rev", - "ival" - ], - [ - "▁t", - "c" - ], - [ - "▁", - "tc" - ], - [ - "ngo", - "ing" - ], - [ - "n", - "going" - ], - [ - "▁Res", - "idential" - ], - [ - "小", - "憩" - ], - [ - "都", - "用" - ], - [ - "第一", - "季" - ], - [ - "ix", - "ir" - ], - [ - "Sc", - "ott" - 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], - [ - "nDe", - "r" - ], - [ - "n", - "Der" - ], - [ - "质量", - "控制" - ], - [ - "lo", - "ver" - ], - [ - "lov", - "er" - ], - [ - "love", - "r" - ], - [ - "l", - "over" - ], - [ - "▁res", - "usc" - ], - [ - "并给出你的", - "解题" - ], - [ - "an", - "aconda" - ], - [ - "ana", - "conda" - ], - [ - "▁Land", - "ing" - ], - [ - "▁Lan", - "ding" - ], - [ - "从选项中选择出", - "合适的答案" - ], - [ - "并给出你的解题", - "分析和依据" - ], - [ - "拖", - "鞋" - ], - [ - "超", - "人" - ], - [ - ",,", - "," - ], - [ - ",", - ",," - ], - [ - "st", - "or" - ], - [ - "sto", - "r" - ], - [ - "s", - "tor" - ], - [ - "到底", - "是什么" - ], - [ - "到底是", - "什么" - ], - [ - "▁na", - "ughty" - ], - [ - "红", - "球" - ], - [ - "街", - "区" - ], - [ - "ho", - "e" - ], - [ - "h", - "oe" - ], - [ - "st", - "y" - ], - [ - "s", - "ty" - ], - [ - "优异", - "的" - ], - [ - "优", - "异的" - ], - [ - "宅", - "基地" - ], - [ - "▁fl", - "own" - ], - [ - "▁flo", - "wn" - ], - [ - "▁flow", - "n" - ], - [ - "▁t", - "reas" - ], - [ - "▁tr", - "eas" - ], - [ - "▁tre", - "as" - ], - [ - "s", - "urgical" - ], - [ - "帮", - "他" - ], - [ - "战", - "机" - ], - [ - "无", - "偿" - ], - [ - "求", - "精" - ], - [ - "着", - "她" - ], - [ - "▁Con", - "cer" - ], - [ - "▁Conc", - "er" - ], - [ - "▁Fal", - "con" - ], - [ - "▁show", - "cases" - ], - [ - "▁showcase", - "s" - ], - [ - "▁showc", - "ases" - ], - [ - "以", - "赴" - ], - [ - "Min", - "d" - ], - [ - "Mi", - "nd" - ], - [ - "M", - "ind" - ], - [ - "Bu", - "ilt" - ], - [ - "B", - "uilt" - ], - [ - "并做出", - "解释" - ], - [ - "▁sne", - "ak" - ], - [ - "极", - "少" - ], - [ - "LP", - "L" - ], - [ - "L", - "PL" - ], - [ - "性能", - "和" - ], - [ - "nD", - "ou" - ], - [ - "nDo", - "u" - ], - [ - "缓刑", - "一年" - ], - [ - "▁F", - "ors" - ], - [ - "▁For", - "s" - ], - [ - "▁Fo", - "rs" - ], - [ - "▁re", - "hab" - ], - [ - "book", - "ing" - ], - [ - "bo", - "oking" - ], - [ - "b", - "ooking" - ], - [ - "选出正确的答案", - "并做出解释" - ], - [ - "告", - "白" - ], - [ - "重", - "构" - ], - [ - "ID", - "A" - ], - [ - "I", - "DA" - ], - [ - "会", - "选择" - ], - [ - "的", - "直线" - ], - [ - "▁U", - "SS" - ], - [ - "▁US", - "S" - ], - [ - "数的", - "绝对值" - ], - [ - "数", - "的绝对值" - ], - [ - "ATP", - "ase" - ], - [ - "上诉于", - "江苏省" - ], - [ - "▁cred", - "ible" - ], - [ - "▁", - "credible" - ], - [ - "华", - "语" - ], - [ - "沉", - "重" - ], - [ - "ch", - "y" - ], - [ - "c", - "hy" - ], - [ - "马鞍", - "山市" - ], - [ - "pl", - "ings" - ], - [ - "pling", - "s" - ], - [ - "p", - "lings" - ], - [ - "Tr", - "acking" - ], - [ - "Track", - "ing" - ], - [ - "▁Pract", - "ices" - ], - [ - "▁Practice", - "s" - ], - [ - "py", - "l" - ], - [ - "p", - "yl" - ], - [ - "of", - "ib" - ], - [ - "o", - "fib" - ], - [ - "Tr", - "avel" - ], - [ - "Tra", - "vel" - ], - [ - "T", - "ravel" - ], - [ - "▁Be", - "hind" - ], - [ - "位", - "和" - ], - [ - "议", - "论" - ], - [ - "on", - "et" - ], - [ - "one", - "t" - ], - [ - "o", - "net" - ], - [ - "nF", - "ish" - ], - [ - "申请执行人", - "亦未" - ], - [ - "申请执行人亦", - "未" - ], - [ - "Get", - "Mapping" - ], - [ - "h", - "q" - ], - [ - "▁", - "韦" - ], - [ - "久", - "久" - ], - [ - "你", - "和" - ], - [ - "全", - "等" - ], - [ - "勤", - "劳" - ], - [ - "怪", - "的" - ], - [ - "点", - "心" - ], - [ - "才", - "开始" - ], - [ - "现场", - "照片" - ], - [ - "▁Di", - "rac" - ], - [ - "▁Dir", - "ac" - ], - [ - "▁b", - "abel" - ], - [ - "▁bab", - "el" - ], - [ - "▁ba", - "bel" - ], - [ - "▁babe", - "l" - ], - [ - "▁", - "babel" - ], - [ - "▁W", - "izard" - ], - [ - "▁", - "Wizard" - ], - [ - "ku", - "be" - ], - [ - "kub", - "e" - ], - [ - "k", - "ube" - ], - [ - "▁M", - "OS" - ], - [ - "▁MO", - "S" - ], - [ - "▁", - "MOS" - ], - [ - "融资", - "租赁" - ], - [ - "通俗", - "易懂" - ], - [ - "au", - "ght" - ], - [ - "augh", - "t" - ], - [ - "aug", - "ht" - ], - [ - "a", - "ught" - ], - [ - "Or", - "Default" - ], - [ - "▁Raj", - "asthan" - ], - [ - "▁propag", - "anda" - ], - [ - "万", - "字" - ], - [ - "普", - "惠" - ], - [ - "这", - "在" - ], - [ - "自诉", - "人" - ], - [ - "▁pl", - "eth" - ], - [ - "▁ple", - "th" - ], - [ - "坚", - "硬" - ], - [ - "家", - "政" - ], - [ - "缺", - "氧" - ], - [ - "先天", - "性" - ], - [ - "否", - "命题" - ], - [ - "Form", - "ula" - ], - [ - "▁rec", - "ursion" - ], - [ - "▁recurs", - "ion" - ], - [ - "▁territ", - "orial" - ], - [ - "▁Revolution", - "ary" - ], - [ - "动", - "人" - ], - [ - "悲", - "哀" - ], - [ - "武", - "士" - ], - [ - "状", - "的" - ], - [ - "要", - "先" - ], - [ - "为己", - "任" - ], - [ - "有", - "网友" - ], - [ - "CL", - "AS" - ], - [ - "CLA", - "S" - ], - [ - "C", - "LAS" - ], - [ - "ph", - "ony" - ], - [ - "phon", - "y" - ], - [ - "▁Al", - "ps" - ], - [ - "▁Alp", - "s" - ], - [ - "Mar", - "shal" - ], - [ - "▁Lanka", - "n" - ], - [ - "▁Lan", - "kan" - ], - [ - "▁Lank", - "an" - ], - [ - "ung", - "arian" - ], - [ - "正确答案和", - "做题的思路" - ], - [ - "不", - "加" - ], - [ - "寄", - "托" - ], - [ - "▁武", - "汉" - ], - [ - "▁", - "武汉" - ], - [ - "理论", - "研究" - ], - [ - "gr", - "aded" - ], - [ - "grad", - "ed" - ], - [ - "grade", - "d" - ], - [ - "gra", - "ded" - ], - [ - "▁World", - "wide" - ], - [ - "年获", - "得" - ], - [ - "年", - "获得" - ], - [ - "▁h", - "ap" - ], - [ - "▁ha", - "p" - ], - [ - "co", - "eff" - ], - [ - "LO", - "AT" - ], - [ - "也有", - "一些" - ], - [ - "也", - "有一些" - ], - [ - "▁C", - "ran" - ], - [ - "▁Cr", - "an" - ], - [ - "▁Cra", - "n" - ], - [ - "▁RE", - "AL" - ], - [ - "间", - "谍" - ], - [ - "▁'", - "'," - ], - [ - "▁''", - "," - ], - [ - "▁", - "''," - ], - [ - "▁ma", - "ize" - ], - [ - "申请", - "撤回上诉" - ], - [ - "申请撤回", - "上诉" - ], - [ - "f", - "ashion" - ], - [ - "rec", - "ipient" - ], - [ - "recip", - "ient" - ], - [ - "▁abnormal", - "ity" - ], - [ - "▁abnorm", - "ality" - ], - [ - "W", - "r" - ], - [ - "Z", - "A" - ], - [ - "大会", - "上" - ], - [ - "大", - "会上" - ], - [ - "面对", - "面" - ], - [ - "面", - "对面" - ], - [ - "▁S", - "KF" - ], - [ - "▁SK", - "F" - ], - [ - "ber", - "ra" - ], - [ - "er", - "men" - ], - [ - "erm", - "en" - ], - [ - "二〇一五年", - "三月" - ], - [ - "▁sing", - "leton" - ], - [ - "▁single", - "ton" - ], - [ - "▁", - "singleton" - ], - [ - "▁short", - "ening" - ], - [ - "何", - "事" - ], - [ - "听", - "众" - ], - [ - "建", - "明" - ], - [ - "倍数", - "是" - ], - [ - "倍", - "数是" - ], - [ - "性", - "问题" - ], - [ - "此时", - "的" - ], - [ - "此", - "时的" - ], - [ - "uc", - "us" - ], - [ - "u", - "cus" - ], - [ - "也", - "请给出你的" - ], - [ - "▁ch", - "asing" - ], - [ - "▁cha", - "sing" - ], - [ - "解题过程", - "和分析思路" - ], - [ - "也请给出你的", - "解题过程和分析思路" - ], - [ - "fin", - "ance" - ], - [ - "f", - "inance" - ], - [ - "nL", - "ittle" - ], - [ - "n", - "Little" - ], - [ - "▁Princ", - "iples" - ], - [ - "▁Principle", - "s" - ], - [ - "▁contrad", - "ict" - ], - [ - "▁", - "即" - ], - [ - "个", - "好" - ], - [ - "病", - "学" - ], - [ - "为", - "契机" - ], - [ - "为了", - "避免" - ], - [ - "▁R", - "are" - ], - [ - "▁Ra", - "re" - ], - [ - "▁s", - "addle" - ], - [ - "▁ber", - "ries" - ], - [ - "▁", - "berries" - ], - [ - "▁em", - "ailed" - ], - [ - "▁email", - "ed" - ], - [ - "Logger", - "Factory" - ], - [ - "本", - "是" - ], - [ - "建立", - "的" - ], - [ - "Op", - "ts" - ], - [ - "Opt", - "s" - ], - [ - "O", - "pts" - ], - [ - "▁Y", - "AML" - ], - [ - "L", - "H" - ], - [ - "动", - "静" - ], - [ - "学生", - "对" - ], - [ - "的地", - "位" - ], - [ - "的", - "地位" - ], - [ - "▁T", - "ac" - ], - [ - "▁Ta", - "c" - ], - [ - "dec", - "oder" - ], - [ - "decode", - "r" - ], - [ - "▁Mongo", - "DB" - ], - [ - "ML", - "Element" - ], - [ - "MLE", - "lement" - ], - [ - "getElements", - "By" - ], - [ - "忙", - "着" - ], - [ - "自", - "此" - ], - [ - "▁OR", - "DER" - ], - [ - "▁", - "ORDER" - ], - [ - "条第一款", - "规定" - ], - [ - "未经法庭", - "许可中途退" - ], - [ - "▁poly", - "ester" - ], - [ - "一", - "侧" - ], - [ - "建", - "房" - ], - [ - "浓度", - "为" - ], - [ - "浓", - "度为" - ], - [ - "▁C", - "oh" - ], - [ - "▁Co", - "h" - ], - [ - "ly", - "mph" - ], - [ - "lymp", - "h" - ], - [ - "l", - "ymph" - ], - [ - "HE", - "IGHT" - ], - [ - "▁diss", - "ip" - ], - [ - "serial", - "ization" - ], - [ - "泰", - "安" - ], - [ - "实验", - "组" - ], - [ - "你也", - "可以" - ], - [ - "你", - "也可以" - ], - [ - "get", - "Context" - ], - [ - "▁Em", - "ployees" - ], - [ - "▁Employee", - "s" - ], - [ - "▁Employ", - "ees" - ], - [ - "捷", - "克" - ], - [ - "▁外", - "观" - ], - [ - "▁", - "外观" - ], - [ - "收到", - "的" - ], - [ - "收", - "到的" - ], - [ - "第四", - "款" - ], - [ - "中国", - "当代" - ], - [ - "数据", - "传输" - ], - [ - "▁Q", - "uint" - ], - [ - "▁Qu", - "int" - ], - [ - "▁sp", - "indle" - ], - [ - "▁Onc", - "ology" - ], - [ - "▁da", - "unting" - ], - [ - "请告诉我您的选择", - "和解题的思路" - ], - [ - "文", - "华" - ], - [ - "更", - "深" - ], - [ - "友好", - "的" - ], - [ - "友", - "好的" - ], - [ - ":\\\\", - "/\\\\/" - ], - [ - "▁fier", - "ce" - ], - [ - "end", - "ocrine" - ], - [ - "▁Whats", - "App" - ], - [ - "▁", - "温" - ], - [ - "他", - "与" - ], - [ - "/'", - "," - ], - [ - "/", - "'," - ], - [ - "SV", - "G" - ], - [ - "详情", - "请" - ], - [ - "at", - "ro" - ], - [ - "a", - "tro" - ], - [ - "仪器", - "仪表" - ], - [ - "▁t", - "urf" - ], - [ - "▁tur", - "f" - ], - [ - "▁tu", - "rf" - ], - [ - "▁f", - "olds" - ], - [ - "▁fol", - "ds" - ], - [ - "▁fold", - "s" - ], - [ - "▁fa", - "ulty" - ], - [ - "▁fault", - "y" - ], - [ - "▁need", - "les" - ], - [ - "▁needle", - "s" - ], - [ - "▁special", - "ised" - ], - [ - "丽", - "丽" - ], - [ - "斜", - "阳" - ], - [ - "昏", - "迷" - ], - [ - "了一", - "段" - ], - [ - "了", - "一段" - ], - [ - "永远", - "是" - ], - [ - "▁B", - "un" - ], - [ - "▁Bu", - "n" - ], - [ - "▁W", - "ins" - ], - [ - "▁Win", - "s" - ], - [ - "▁Wi", - "ns" - ], - [ - "att", - "rib" - ], - [ - "attr", - "ib" - ], - [ - "roid", - "ery" - ], - [ - "▁", - "斌" - ], - [ - "一", - "等" - ], - [ - "中国", - "市场" - ], - [ - "▁Bur", - "k" - ], - [ - "▁Bu", - "rk" - ], - [ - "▁T", - "ort" - ], - [ - "▁To", - "rt" - ], - [ - "▁Tor", - "t" - ], - [ - "必不可", - "少的" - ], - [ - "t", - "client" - ], - [ - "佛", - "罗" - ], - [ - "心", - "想" - ], - [ - "感", - "官" - ], - [ - "甜", - "美" - ], - [ - "鄙", - "视" - ], - [ - "하", - "는" - ], - [ - "nw", - "ho" - ], - [ - "n", - "who" - ], - [ - "Dis", - "able" - ], - [ - "▁Pre", - "diction" - ], - [ - "▁Pred", - "iction" - ], - [ - "▁Predict", - "ion" - ], - [ - "UN", - "C" - ], - [ - "U", - "NC" - ], - [ - "ga", - "e" - ], - [ - "g", - "ae" - ], - [ - "▁R", - "ings" - ], - [ - "▁Ring", - "s" - ], - [ - "▁Aber", - "deen" - ], - [ - "上", - "皮" - ], - [ - "关", - "门" - ], - [ - "签", - "收" - ], - [ - "需要", - "进行" - ], - [ - "▁L", - "IVE" - ], - [ - "▁LI", - "VE" - ], - [ - "ast", - "rophic" - ], - [ - "op", - "ulmonary" - ], - [ - "玉", - "兰" - ], - [ - "石", - "子" - ], - [ - "算", - "出" - ], - [ - "原则", - "上" - ], - [ - "▁mar", - "vel" - ], - [ - "▁Lam", - "bert" - ], - [ - "▁Lamb", - "ert" - ], - [ - "▁rent", - "ing" - ], - [ - "▁s", - "ounded" - ], - [ - "▁sound", - "ed" - ], - [ - "▁quadr", - "ant" - ], - [ - "▁quad", - "rant" - ], - [ - "▁fertil", - "izer" - ], - [ - "城", - "建" - ], - [ - "很", - "差" - ], - [ - "科", - "夫" - ], - [ - "孙", - "悟空" - ], - [ - "▁R", - "um" - ], - [ - "▁Ru", - "m" - ], - [ - "主要作品", - "有" - ], - [ - "▁ex", - "its" - ], - [ - "▁exit", - "s" - ], - [ - "st", - "ations" - ], - [ - "stat", - "ions" - ], - [ - "station", - "s" - ], - [ - "▁para", - "graphs" - ], - [ - "▁paragraph", - "s" - ], - [ - "▁un", - "acceptable" - ], - [ - "并做出", - "分析" - ], - [ - "re", - "ctomy" - ], - [ - "rect", - "omy" - ], - [ - "r", - "ectomy" - ], - [ - "▁Sk", - "etch" - ], - [ - "▁amb", - "ition" - ], - [ - "▁ambit", - "ion" - ], - [ - "▁acetyl", - "choline" - ], - [ - "初", - "三" - ], - [ - "快", - "手" - ], - [ - "mi", - "um" - ], - [ - "m", - "ium" - ], - [ - "具有", - "较强的" - ], - [ - "▁Pac", - "kers" - ], - [ - "▁Pack", - "ers" - ], - [ - "▁life", - "cycle" - ], - [ - "▁lif", - "ecycle" - ], - [ - "▁", - "lifecycle" - ], - [ - "选择正确答案", - "并做出分析" - ], - [ - "en", - "ol" - ], - [ - "eno", - "l" - ], - [ - "e", - "nol" - ], - [ - "身边", - "的人" - ], - [ - "身边的", - "人" - ], - [ - "▁m", - "our" - ], - [ - "▁mo", - "ur" - ], - [ - "▁Pl", - "ains" - ], - [ - "▁Plain", - "s" - ], - [ - "▁host", - "ile" - ], - [ - "▁clean", - "ers" - ], - [ - "▁cleaner", - "s" - ], - [ - "二", - "甲" - ], - [ - "工", - "农" - ], - [ - "握", - "手" - ], - [ - "特", - "邀" - ], - [ - "ni", - "ts" - ], - [ - "nit", - "s" - ], - [ - "n", - "its" - ], - [ - "▁G", - "lor" - ], - [ - "▁Gl", - "or" - ], - [ - "▁Glo", - "r" - ], - [ - "tp", - "anic" - ], - [ - "t", - "panic" - ], - [ - "▁beh", - "aves" - ], - [ - "▁behav", - "es" - ], - [ - "▁behave", - "s" - ], - [ - "▁amb", - "ulatory" - ], - [ - "第二百六十二条第二款", - "和" - ], - [ - "水", - "下" - ], - [ - ":$", - "{" - ], - [ - ":", - "${" - ], - [ - "F", - "ox" - ], - [ - "zi", - "e" - ], - [ - "z", - "ie" - ], - [ - "迈", - "克尔" - ], - [ - "▁oste", - "oc" - ], - [ - "▁osteo", - "c" - ], - [ - "▁restrict", - "ive" - ], - [ - "▁Trans", - "actions" - ], - [ - "▁Transaction", - "s" - ], - [ - "他", - "被" - ], - [ - "并给出", - "依据" - ], - [ - "▁con", - "sp" - ], - [ - "▁co", - "nsp" - ], - [ - "▁cons", - "p" - ], - [ - "月", - "子" - ], - [ - "yn", - "b" - ], - [ - "y", - "nb" - ], - [ - "服务", - "费" - ], - [ - "服刑", - "期间" - ], - [ - "em", - "erg" - ], - [ - "eme", - "rg" - ], - [ - "nw", - "indow" - ], - [ - "nwin", - "dow" - ], - [ - "n", - "window" - ], - [ - "▁remed", - "ies" - ], - [ - "▁disc", - "overs" - ], - [ - "▁discover", - "s" - ], - [ - "并给出依据", - "和解题过程" - ], - [ - "军", - "工" - ], - [ - "慕", - "容" - ], - [ - "格", - "雷" - ], - [ - "优化", - "的" - ], - [ - "优", - "化的" - ], - [ - "$\\", - "'," - ], - [ - "$", - "\\'," - ], - [ - "▁E", - "at" - ], - [ - "at", - "ched" - ], - [ - "atch", - "ed" - ], - [ - "▁bomb", - "ing" - ], - [ - "▁bom", - "bing" - ], - [ - "▁strength", - "ened" - ], - [ - "▁strengthen", - "ed" - ], - [ - "▁U", - "X" - ], - [ - "▁", - "UX" - ], - [ - "▁h", - "airs" - ], - [ - "▁hair", - "s" - ], - [ - "▁ha", - "irs" - ], - [ - "▁reg", - "ularity" - ], - [ - "▁regular", - "ity" - ], - [ - "▁regul", - "arity" - ], - [ - "h", - "Y" - ], - [ - "登", - "高" - ], - [ - "站", - "着" - ], - [ - "说出", - "来" - ], - [ - "说", - "出来" - ], - [ - "build", - "ers" - ], - [ - "builder", - "s" - ], - [ - "▁menstr", - "ual" - ], - [ - "▁dis", - "posable" - ], - [ - "高", - "龄" - ], - [ - "加工", - "厂" - ], - [ - "加", - 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"S" - ], - [ - "Con", - "v" - ], - [ - "Co", - "nv" - ], - [ - "▁C", - "opa" - ], - [ - "▁Co", - "pa" - ], - [ - "▁Cop", - "a" - ], - [ - "▁en", - "chant" - ], - [ - "▁salv", - "age" - ], - [ - "▁New", - "foundland" - ], - [ - "偏", - "离" - ], - [ - "树", - "枝" - ], - [ - "El", - "em" - ], - [ - "Ele", - "m" - ], - [ - "E", - "lem" - ], - [ - "me", - "ns" - ], - [ - "men", - "s" - ], - [ - "m", - "ens" - ], - [ - "▁P", - "GE" - ], - [ - "▁PG", - "E" - ], - [ - "电子", - "信息" - ], - [ - "▁W", - "ife" - ], - [ - "▁Wi", - "fe" - ], - [ - "cat", - "enin" - ], - [ - "▁ill", - "usion" - ], - [ - "月", - "第" - ], - [ - "美", - "金" - ], - [ - "赃", - "款" - ], - [ - ">]", - "(" - ], - [ - ">", - "](" - ], - [ - "▁T", - "reg" - ], - [ - "▁Tr", - "eg" - ], - [ - "▁Tre", - "g" - ], - [ - "ple", - "asant" - ], - [ - "▁pod", - "casts" - ], - [ - "▁podcast", - "s" - ], - [ - "解题过程中的", - "依据是什么" - ], - [ - "▁desc", - "endants" - ], - [ - "性", - "及" - ], - [ - "特", - "地" - ], - [ - "UP", - "S" - ], - [ - "U", - "PS" - ], - [ - "是否", - "会" - ], - [ - "os", - "se" - ], - [ - "oss", - "e" - ], - [ - "ot", - "opic" - ], - [ - "oto", - "pic" - ], - [ - "o", - "topic" - ], - [ - "▁H", - "imal" - ], - [ - "▁Hi", - "mal" - ], - [ - "▁Him", - "al" - ], - [ - "▁Ap", - "artments" - ], - [ - "▁Apart", - "ments" - ], - [ - "▁Apartment", - "s" - ], - [ - "ff", - "i" - ], - [ - "f", - "fi" - ], - [ - "og", - "i" - ], - [ - "o", - "gi" - ], - [ - "可", - "获得" - ], - [ - "的最", - "好" - ], - [ - "的", - "最好" - ], - [ - "了解", - "更多" - ], - [ - "Ab", - "ility" - ], - [ - "▁Far", - "mer" - ], - [ - "▁Farm", - "er" - ], - [ - "▁Gard", - "ner" - ], - [ - "德", - "惠" - ], - [ - "▁", - "系列" - ], - [ - "十一", - "五" - ], - [ - "和", - "生产" - ], - [ - "罪犯", - "杨" - ], - [ - "▁G", - "row" - ], - [ - "▁Gr", - "ow" - ], - [ - "▁Gro", - "w" - ], - [ - "▁$", - "${\\\\" - ], - [ - "▁$$", - "{\\\\" - ], - [ - "▁$${", - "\\\\" - ], - [ - "stit", - "uted" - ], - [ - "stitute", - "d" - ], - [ - "stitu", - "ted" - ], - [ - "separ", - "ated" - ], - [ - "跟", - "上" - ], - [ - "骗", - "取" - ], - [ - "▁其", - "七" - ], - [ - "事业", - "部" - ], - [ - "win", - "ner" - ], - [ - "w", - "inner" - ], - [ - "▁Per", - "forming" - ], - [ - "▁Perform", - "ing" - ], - [ - "Pl", - "ane" - ], - [ - "Plan", - "e" - ], - [ - "P", - "lane" - ], - [ - "▁N", - "ano" - ], - [ - "▁Na", - "no" - ], - [ - "▁Nan", - "o" - ], - [ - "和分析", - "的过程" - ], - [ - "chrom", - "ium" - ], - [ - "▁Trib", - "une" - ], - [ - "▁permit", - "ting" - ], - [ - "▁perm", - "itting" - ], - [ - "特", - "许" - ], - [ - "讲", - "课" - ], - [ - "▁T", - "ian" - ], - [ - "▁Ti", - "an" - ], - [ - "▁D", - "iane" - ], - [ - "▁Di", - "ane" - ], - [ - "▁Re", - "lay" - ], - [ - "▁Rel", - "ay" - ], - [ - "nJ", - "oseph" - ], - [ - "不", - "耐" - ], - [ - "尿", - "素" - ], - [ - "为", - "单位" - ], - [ - "表情", - "包" - ], - [ - "ab", - "is" - ], - [ - "abi", - "s" - ], - [ - "a", - "bis" - ], - [ - "▁Gu", - "ests" - ], - [ - "▁Guest", - "s" - ], - [ - "▁tri", - "umph" - ], - [ - "▁", - "熊" - ], - [ - "女", - "排" - ], - [ - "龙", - "潭" - ], - [ - "住", - "天津市" - ], - [ - "▁F", - "ully" - ], - [ - "▁Full", - "y" - ], - [ - "▁Ful", - "ly" - ], - [ - "Aw", - "esome" - ], - [ - "▁Ad", - "dition" - ], - [ - "▁Add", - "ition" - ], - [ - "奖", - "品" - ], - [ - "U", - "tf" - ], - [ - "的知识", - "和" - ], - [ - "的", - "知识和" - ], - [ - "部", - "副部长" - ], - [ - "▁K", - "ard" - ], - [ - "▁Kar", - "d" - ], - [ - "▁Ka", - "rd" - ], - [ - "Att", - "ach" - ], - [ - "▁Leg", - "ends" - ], - [ - "▁Legend", - "s" - ], - [ - "▁tang", - "ible" - ], - [ - "▁comput", - "ationally" - ], - [ - "▁computational", - "ly" - ], - [ - "▁computation", - "ally" - ], - [ - "书", - "包" - ], - [ - "芝", - "加" - ], - [ - "团队", - "的" - ], - [ - "团", - "队的" - ], - [ - "展现", - "出" - ], - [ - "doc", - "k" - ], - [ - "do", - "ck" - ], - [ - "d", - "ock" - ], - [ - "▁hom", - "ogen" - ], - [ - "互", - "利" - ], - [ - "床", - "垫" - ], - [ - "更", - "低" - ], - [ - "砂", - "浆" - ], - [ - "考", - "的" - ], - [ - "舰", - "队" - ], - [ - "不是", - "我" - ], - [ - "不", - "是我" - ], - [ - "深深", - "的" - ], - [ - "深", - "深的" - ], - [ - "he", - "us" - ], - [ - "h", - "eus" - ], - [ - "se", - "ll" - ], - [ - "sel", - "l" - ], - [ - "s", - "ell" - ], - [ - "sp", - "atial" - ], - [ - "▁cool", - "ed" - ], - [ - "▁re", - "juven" - ], - [ - "▁s", - "erializer" - ], - [ - "▁serial", - "izer" - ], - [ - "▁serialize", - "r" - ], - [ - "▁", - "serializer" - ], - [ - "ッ", - "ク" - ], - [ - "插", - "画" - ], - [ - "江", - "水" - ], - [ - "nF", - "ive" - ], - [ - "n", - "Five" - ], - [ - "▁ASC", - "II" - ], - [ - "El", - "astic" - ], - [ - "nV", - "ersion" - ], - [ - "n", - "Version" - ], - [ - "不", - "育" - ], - [ - "病", - "程" - ], - [ - "研究生", - "学历" - ], - [ - "prot", - "ective" - ], - [ - "▁prof", - "iciency" - ], - [ - "▁", - "가" - ], - [ - "年", - "头" - ], - [ - "是", - "新" - ], - [ - "波", - "浪" - ], - [ - "ra", - "k" - ], - [ - "r", - "ak" - ], - [ - "是", - "两个" - ], - [ - "行政", - "区域" - ], - [ - "行政区", - "域" - ], - [ - "as", - "poon" - ], - [ - "asp", - "oon" - ], - [ - "▁F", - "iber" - ], - [ - "▁Fib", - "er" - ], - [ - "▁Fi", - "ber" - ], - [ - "en", - "stein" - ], - [ - "ens", - "tein" - ], - [ - "▁De", - "tail" - ], - [ - "▁Det", - "ail" - ], - [ - "▁", - "Detail" - ], - [ - "▁econom", - "ists" - ], - [ - "▁economist", - "s" - ], - [ - "▁antire", - "troviral" - ], - [ - "已", - "成" - ], - [ - "闭", - "合" - ], - [ - "▁V", - "ote" - ], - [ - "▁Vo", - "te" - ], - [ - "▁", - "Vote" - ], - [ - "▁us", - "ize" - ], - [ - "▁u", - "size" - ], - [ - "▁trouble", - "d" - ], - [ - "▁trou", - "bled" - ], - [ - "改", - "判" - ], - [ - "春", - "色" - ], - [ - "智", - "库" - ], - [ - "歉", - "意" - ], - [ - "保", - "字第" - ], - [ - "▁bu", - "ys" - ], - [ - "▁buy", - "s" - ], - [ - "Or", - "d" - ], - [ - "O", - "rd" - ], - [ - "开庭", - "传票" - ], - [ - "ai", - "ser" - ], - [ - "ais", - "er" - ], - [ - "aise", - "r" - ], - [ - "a", - "iser" - ], - [ - "▁Tr", - "igger" - ], - [ - "▁", - "Trigger" - ], - [ - "▁de", - "crypt" - ], - [ - "▁dec", - "rypt" - ], - [ - "▁wild", - "erness" - ], - [ - "K", - "R" - ], - [ - "▁", - "Р" - ], - [ - "全", - "线" - ], - [ - "已", - "然" - ], - [ - "月", - "被" - ], - [ - "清", - "远" - ], - [ - "▁p", - "aved" - ], - [ - "▁pa", - "ved" - ], - [ - "▁pave", - "d" - ], - [ - "▁pav", - "ed" - ], - [ - "ot", - "rophic" - ], - [ - "▁get", - "User" - ], - [ - "▁", - "getUser" - ], - [ - "▁Count", - "ies" - ], - [ - "▁smooth", - "ing" - ], - [ - "▁smo", - "othing" - ], - [ - "并告诉我您的选择", - "和分析的过程" - ], - [ - "纽", - "带" - ], - [ - "Ar", - "m" - ], - [ - "A", - "rm" - ], - [ - "中医", - "院" - ], - [ - "中", - "医院" - ], - [ - "MP", - "LE" - ], - [ - "MPL", - "E" - ], - [ - "全力", - "以赴" - ], - [ - "牢记", - "使命" - ], - [ - "w", - "izard" - ], - [ - "▁Con", - "cord" - ], - [ - "▁Conc", - "ord" - ], - [ - "▁Me", - "aning" - ], - [ - "▁Mean", - "ing" - ], - [ - "▁air", - "flow" - ], - [ - "▁cr", - "aving" - ], - [ - "▁cra", - "ving" - ], - [ - "▁flo", - "oded" - ], - [ - "▁flood", - "ed" - ], - [ - "▁book", - "ings" - ], - [ - "▁booking", - "s" - ], - [ - "▁careg", - "iver" - ], - [ - "光", - "度" - ], - [ - "染", - "料" - ], - [ - "树", - "上" - ], - [ - "AS", - "A" - ], - [ - "A", - "SA" - ], - [ - "ta", - "s" - ], - [ - "t", - "as" - ], - [ - "和解", - "为由" - ], - [ - "ot", - "ech" - ], - [ - "ote", - "ch" - ], - [ - "o", - "tech" - ], - [ - "▁ch", - "ina" - ], - [ - "▁chi", - "na" - ], - [ - "▁chin", - "a" - ], - [ - "aff", - "inity" - ], - [ - "affin", - "ity" - ], - [ - "▁ceremon", - "ies" - ], - [ - "▁", - "左" - ], - [ - "眉", - "毛" - ], - [ - "北京", - "的" - ], - [ - "就有", - "了" - ], - [ - "就", - "有了" - ], - [ - "最快", - "的" - ], - [ - "最", - "快的" - ], - [ - "要", - "怎么" - ], - [ - "被执行人", - "黄" - ], - [ - "▁Bas", - "il" - ], - [ - "▁Ba", - "sil" - ], - [ - "▁P", - "orsche" - ], - [ - "▁Por", - "sche" - ], - [ - "▁Ex", - "ercises" - ], - [ - "▁Exercise", - "s" - ], - [ - "▁travel", - "lers" - ], - [ - "▁trav", - "ellers" - ], - [ - "其", - "为" - ], - [ - "▁开", - "始" - ], - [ - "▁", - "开始" - ], - [ - "的", - "看法" - ], - [ - "并给出", - "合理的解释" - ], - [ - "▁string", - "ent" - ], - [ - "▁motiv", - "ational" - ], - [ - "▁motivation", - "al" - ], - [ - "▁", - "邱" - ], - [ - "▁E", - "h" - ], - [ - "▁主", - "体" - ], - [ - "▁", - "主体" - ], - [ - "这里", - "有" - ], - [ - "这", - "里有" - ], - [ - "赔偿", - "被害人" - ], - [ - "gen", - "esis" - ], - [ - "gene", - "sis" - ], - [ - "genes", - "is" - ], - [ - "▁T", - "ropical" - ], - [ - "业", - "者" - ], - [ - "对", - "前款" - ], - [ - "得益", - "于" - ], - [ - "看", - "电视" - ], - [ - "em", - "ma" - ], - [ - "emm", - "a" - ], - [ - "e", - "mma" - ], - [ - "no", - "nce" - ], - [ - "non", - "ce" - ], - [ - "n", - "once" - ], - [ - "▁B", - "ooth" - ], - [ - "▁Bo", - "oth" - ], - [ - "▁Boot", - "h" - ], - [ - "▁Mal", - "colm" - ], - [ - "并给出你的", - "解题过程" - ], - [ - "并给出你的解题", - "过程" - ], - [ - "▁coinc", - "idence" - ], - [ - "▁coincide", - "nce" - ], - [ - "秋", - "日" - ], - [ - "we", - "re" - ], - [ - "wer", - "e" - ], - [ - "w", - "ere" - ], - [ - "▁j", - "elly" - ], - [ - "▁U", - "PDATE" - ], - [ - "▁UP", - "DATE" - ], - [ - "▁", - "UPDATE" - ], - [ - "Cap", - "acity" - ], - [ - "Ret", - "ention" - ], - [ - "▁land", - "lord" - ], - [ - "In", - "strument" - ], - [ - "W", - "G" - ], - [ - "节", - "水" - ], - [ - "已", - "交纳" - ], - [ - "谅解", - "书" - ], - [ - "EX", - "EC" - ], - [ - "ve", - "ster" - ], - [ - "ves", - "ter" - ], - [ - "vest", - "er" - ], - [ - "v", - "ester" - ], - [ - "▁He", - "rein" - ], - [ - "▁Here", - "in" - ], - [ - "▁Her", - "ein" - ], - [ - "▁spor", - "adic" - ], - [ - "惯", - "性" - ], - [ - "打", - "入" - ], - [ - "信息", - "网" - ], - [ - "▁Commun", - "ities" - ], - [ - "Pr", - "ef" - ], - [ - "Pre", - "f" - ], - [ - "P", - "ref" - ], - [ - "可以", - "提高" - ], - [ - "可", - "以提高" - ], - [ - "▁op", - "pose" - ], - [ - "▁sed", - "iments" - ], - [ - "▁sediment", - "s" - ], - [ - "刺", - "客" - ], - [ - "沉", - "降" - ], - [ - "▁", - "综合" - ], - [ - "一", - "季度" - ], - [ - "▁v", - "ib" - ], - [ - "▁vi", - "b" - ], - [ - "中国", - "政府" - ], - [ - "但是", - "我们" - ], - [ - "但是我", - "们" - ], - [ - "但", - "是我们" - ], - [ - "nH", - "ouse" - ], - [ - "n", - "House" - ], - [ - "▁D", - "riving" - ], - [ - "▁Dr", - "iving" - ], - [ - "▁chlor", - "ine" - ], - [ - "▁in", - "ducible" - ], - [ - "▁indu", - "cible" - ], - [ - "▁Ent", - "repreneur" - ], - [ - "型", - "和" - ], - [ - "总", - "站" - ], - [ - "洞", - "庭" - ], - [ - "矿", - "区" - ], - [ - "造", - "林" - ], - [ - "iv", - "ered" - ], - [ - "ive", - "red" - ], - [ - "iver", - "ed" - ], - [ - "▁A", - "ging" - ], - [ - "▁Ag", - "ing" - ], - [ - "im", - "ester" - ], - [ - "ime", - "ster" - ], - [ - "imes", - "ter" - ], - [ - "次", - "要" - ], - [ - "茶", - "匙" - ], - [ - "另一", - "方" - ], - [ - "另", - "一方" - ], - [ - "投入", - "到" - ], - [ - "持卡", - "人" - ], - [ - "芝加", - "哥" - ], - [ - "]\\\\", - ")" - ], - [ - "]", - "\\\\)" - ], - [ - "Un", - "defined" - ], - [ - "U", - "ndefined" - ], - [ - "▁sil", - "encing" - ], - [ - "独", - "有" - ], - [ - "处理", - "好" - ], - [ - "老人", - "的" - ], - [ - "老", - "人的" - ], - [ - "▁arr", - "ests" - ], - [ - "▁arrest", - "s" - ], - [ - "▁bronch", - "ial" - ], - [ - "▁prefer", - "ably" - ], - [ - "然后告诉我您的最佳选择", - "和分析思路" - ], - [ - "ld", - "ap" - ], - [ - "l", - "dap" - ], - [ - "▁r", - "all" - ], - [ - "▁ra", - "ll" - ], - [ - "empt", - "yset" - ], - [ - "empty", - "set" - ], - [ - "Primary", - "Key" - ], - [ - "▁Wh", - "olesale" - ], - [ - "▁Whole", - "sale" - ], - [ - "▁scal", - "ability" - ], - [ - "▁", - "包" - ], - [ - "赛", - "区" - ], - [ - "冻结", - "的" - ], - [ - "ir", - "ds" - ], - [ - "ird", - "s" - ], - [ - "▁iod", - "ine" - ], - [ - "亿", - "万" - ], - [ - "成", - "败" - ], - [ - "*(", - "(" - ], - [ - "*", - "((" - ], - [ - "▁广州", - "市" - ], - [ - "▁", - "广州市" - ], - [ - "end", - "ra" - ], - [ - "e", - "ndra" - ], - [ - "▁Bo", - "yd" - ], - [ - "▁Boy", - "d" - ], - [ - "▁E", - "scape" - ], - [ - "▁Esc", - "ape" - ], - [ - "▁ed", - "ible" - ], - [ - "▁cytos", - "olic" - ], - [ - "白", - "血" - ], - [ - "都", - "属于" - ], - [ - "li", - "sta" - ], - [ - "list", - "a" - ], - [ - "lis", - "ta" - ], - [ - "l", - "ista" - ], - [ - "phen", - "yl" - ], - [ - "p", - "henyl" - ], - [ - "▁gran", - "ular" - ], - [ - "▁granul", - "ar" - ], - [ - "签", - "到" - ], - [ - "脱", - "硫" - ], - [ - "问", - "责" - ], - [ - "优良", - "的" - ], - [ - "对他", - "的" - ], - [ - "对", - "他的" - ], - [ - "in", - "tern" - ], - [ - "int", - "ern" - ], - [ - "inter", - "n" - ], - [ - "pur", - "ple" - ], - [ - "▁N", - "exus" - ], - [ - "▁C", - "astro" - ], - [ - "▁Cast", - "ro" - ], - [ - "▁Cas", - "tro" - ], - [ - "▁N", - "early" - ], - [ - "▁Ne", - "arly" - ], - [ - "▁Near", - "ly" - ], - [ - "▁W", - "elfare" - ], - [ - "▁Wel", - "fare" - ], - [ - "nBas", - "ically" - ], - [ - "▁imp", - "acting" - ], - [ - "▁impact", - "ing" - ], - [ - "▁n", - "c" - ], - [ - "▁", - "nc" - ], - [ - "十分", - "钟" - ], - [ - "十", - "分钟" - ], - [ - "有", - "需要" - ], - [ - "▁int", - "rav" - ], - [ - "▁intr", - "av" - ], - [ - "▁intra", - "v" - ], - [ - "诉", - "刑诉" - ], - [ - "二〇一七年", - "三" - ], - [ - "es", - "cence" - ], - [ - "esc", - "ence" - ], - [ - "▁Screen", - 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], - [ - "ili", - "cal" - ], - [ - "▁Re", - "leased" - ], - [ - "▁Release", - "d" - ], - [ - "effective", - "ness" - ], - [ - "effect", - "iveness" - ], - [ - "▁trans", - "porters" - ], - [ - "▁transport", - "ers" - ], - [ - "▁transporter", - "s" - ], - [ - "k", - "d" - ], - [ - "▁", - "则" - ], - [ - "▼", - "\\" - ], - [ - "双", - "核" - ], - [ - "山", - "坡" - ], - [ - "洗", - "脸" - ], - [ - "读", - "懂" - ], - [ - "增长", - "的" - ], - [ - "增", - "长的" - ], - [ - "建筑", - "师" - ], - [ - "Pl", - "ain" - ], - [ - "P", - "lain" - ], - [ - "▁In", - "dies" - ], - [ - "▁Ind", - "ies" - ], - [ - "▁Ver", - "non" - ], - [ - "▁Vern", - "on" - ], - [ - "未经法庭许可中途退", - "庭的" - ], - [ - "转变", - "为" - ], - [ - "转", - "变为" - ], - [ - "▁A", - "kt" - ], - [ - "▁Ak", - "t" - ], - [ - "▁主要", - "参数" - ], - [ - "ex", - "istence" - ], - [ - "exist", - "ence" - ], - [ - "pres", - "ident" - ], - [ - "SEQU", - "ENTIAL" - ], - [ - "▁Ep", - "iscopal" - ], - [ - "冷", - "酷" - ], - [ - "华", - "润" - ], - [ - "hh", - "h" - ], - 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], - [ - "菌", - "株" - ], - [ - "飞", - "跃" - ], - [ - "的", - "文字" - ], - [ - "sin", - "k" - ], - [ - "si", - "nk" - ], - [ - "s", - "ink" - ], - [ - "em", - "por" - ], - [ - "emp", - "or" - ], - [ - "▁Be", - "au" - ], - [ - "▁Bea", - "u" - ], - [ - "▁S", - "tim" - ], - [ - "▁St", - "im" - ], - [ - "sh", - "apes" - ], - [ - "shape", - "s" - ], - [ - "sha", - "pes" - ], - [ - "▁hurd", - "les" - ], - [ - "▁Support", - "ing" - ], - [ - "▁cart", - "ridges" - ], - [ - "▁cartridge", - "s" - ], - [ - "单位出具的财产", - "查询回执" - ], - [ - "拟", - "合" - ], - [ - "V", - "an" - ], - [ - "不停", - "地" - ], - [ - "都能", - "够" - ], - [ - "都", - "能够" - ], - [ - "\":", - "\"/" - ], - [ - "\":\"", - "/" - ], - [ - "▁第", - "二章" - ], - [ - "▁第二", - "章" - ], - [ - "▁", - "第二章" - ], - [ - "提请", - "减刑" - ], - [ - "▁T", - "rap" - ], - [ - "▁Tr", - "ap" - ], - [ - "▁Tra", - "p" - ], - [ - "ur", - "etic" - ], - [ - "ure", - "tic" - ], - [ - "aut", - "ical" - ], - [ - "au", - "tical" - ], - [ - "▁in", - "mates" - ], - [ - "▁juris", - 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"重要" - ], - [ - "fr", - "ied" - ], - [ - "f", - "ried" - ], - [ - "nDiv", - "ide" - ], - [ - "▁In", - "form" - ], - [ - "▁Inf", - "orm" - ], - [ - "▁Info", - "rm" - ], - [ - "▁re", - "agent" - ], - [ - "切", - "记" - ], - [ - "轻", - "盈" - ], - [ - "法", - "测定" - ], - [ - "par", - "d" - ], - [ - "pa", - "rd" - ], - [ - "p", - "ard" - ], - [ - "魔龙", - "令牌" - ], - [ - "▁B", - "low" - ], - [ - "▁Bl", - "ow" - ], - [ - "▁Blo", - "w" - ], - [ - "▁m", - "ixes" - ], - [ - "▁mix", - "es" - ], - [ - "▁run", - "off" - ], - [ - "▁st", - "rives" - ], - [ - "▁str", - "ives" - ], - [ - "▁stri", - "ves" - ], - [ - "▁strive", - "s" - ], - [ - "▁mod", - "ulates" - ], - [ - "▁modulate", - "s" - ], - [ - "▁rad", - "iological" - ], - [ - "▁radio", - "logical" - ], - [ - "▁radi", - "ological" - ], - [ - "▁radiol", - "ogical" - ], - [ - "极", - "管" - ], - [ - "相", - "符" - ], - [ - "UC", - "N" - ], - [ - "U", - "CN" - ], - [ - "的有", - "关" - ], - [ - "的", - "有关" - ], - [ - "nS", - "oviet" - ], - [ - "▁Tre", - "vor" - ], - [ - "▁Min", - "isters" - ], - [ - "▁Minister", - "s" - ], - [ - "▁Mini", - "sters" - ], - [ - "▁aggreg", - "ated" - ], - [ - "▁aggregate", - "d" - ], - [ - "▁negot", - "iated" - ], - [ - "▁negotiate", - "d" - ], - [ - "多", - "情" - ], - [ - "而", - "今" - ], - [ - "表", - "决" - ], - [ - "DT", - "D" - ], - [ - "D", - "TD" - ], - [ - "HA", - "N" - ], - [ - "H", - "AN" - ], - [ - "一本", - "书" - ], - [ - "一", - "本书" - ], - [ - "在", - "诉讼" - ], - [ - "专科", - "学校" - ], - [ - "专科学", - "校" - ], - [ - "是一名", - "演员" - ], - [ - "uls", - "ory" - ], - [ - "▁Al", - "pine" - ], - [ - "▁Alp", - "ine" - ], - [ - "▁Web", - "ster" - ], - [ - "▁vac", - "ancy" - ], - [ - "IP", - "v" - ], - [ - "很", - "适合" - ], - [ - "冠状", - "动脉" - ], - [ - "ac", - "ons" - ], - [ - "acon", - "s" - ], - [ - "aco", - "ns" - ], - [ - "a", - "cons" - ], - [ - "▁O", - "mar" - ], - [ - "▁Om", - "ar" - ], - [ - "\\\\", - "\\\\\\\\" - ], - [ - "\\\\\\\\", - "\\\\" - ], - [ - "\\\\\\", - "\\\\\\" - ], - [ - "\\\\\\\\\\", - "\\" - ], - [ - "\\", - "\\\\\\\\\\" - ], - [ - "▁s", - "ponge" - ], - [ - "▁sp", - "onge" - ], - [ - "▁spo", - "nge" - ], - [ - "▁Syr", - "acuse" - ], - [ - "坏", - "事" - ], - [ - "杏", - "花" - ], - [ - "村", - "干部" - ], - [ - "第三", - "边" - ], - [ - "第", - "三边" - ], - [ - "▁c", - "hr" - ], - [ - "▁ch", - "r" - ], - [ - "▁", - "chr" - ], - [ - "爷爷", - "奶奶" - ], - [ - "相关", - "证据" - ], - [ - "▁m", - "ong" - ], - [ - "▁mon", - "g" - ], - [ - "▁mo", - "ng" - ], - [ - "▁", - "mong" - ], - [ - "公", - "办" - ], - [ - "切", - "勿" - ], - [ - "Go", - "t" - ], - [ - "G", - "ot" - ], - [ - "ib", - "u" - ], - [ - "i", - "bu" - ], - [ - "▁K", - "C" - ], - [ - "▁", - "KC" - ], - [ - "▁e", - "h" - ], - [ - "▁", - "eh" - ], - [ - "工商", - "联" - ], - [ - "由此", - "可见" - ], - [ - "in", - "ged" - ], - [ - "ing", - "ed" - ], - [ - "inge", - "d" - ], - [ - "st", - "ret" - ], - [ - "str", - "et" - ], - [ - "stre", - "t" - ], - [ - "s", - "tret" - ], - [ - "糖尿", - "病患者" - ], - [ - "糖尿病", - "患者" - ], - [ - "npro", - "cess" - ], - [ - "n", - "process" - ], - [ - "▁substit", - "uting" - ], - [ - "漂", - "流" - ], - [ - "ar", - "gc" - ], - [ - "arg", - "c" - ], - [ - "no", - "va" - ], - [ - "nov", - "a" - ], - [ - "n", - "ova" - ], - [ - "om", - "bo" - ], - [ - "omb", - "o" - ], - [ - "▁Ro", - "land" - ], - [ - "▁Rol", - "and" - ], - [ - "▁adv", - "ising" - ], - [ - "▁advis", - "ing" - ], - [ - "中国", - "银行股份有限公司" - ], - [ - "中国银行", - "股份有限公司" - ], - [ - "双", - "双" - ], - [ - "小", - "猫" - ], - [ - "拉", - "黑" - ], - [ - "福", - "德" - ], - [ - "挖掘", - "机" - ], - [ - "非常", - "多" - ], - [ - "ar", - "aj" - ], - [ - "ara", - "j" - ], - [ - "a", - "raj" - ], - [ - "{\\\\", - "\"" - ], - [ - "{", - "\\\\\"" - ], - [ - "▁k", - "ub" - ], - [ - "▁", - "kub" - ], - [ - "▁Sh", - "ane" - ], - [ - "▁Sha", - "ne" - ], - [ - "▁Shan", - "e" - ], - [ - "小", - "林" - ], - [ - "我", - "以前" - ], - [ - "ap", - "sing" - ], - [ - "aps", - "ing" - ], - [ - "ret", - "rieve" - ], - [ - "▁sh", - "aking" - ], - [ - "▁sha", - "king" - ], - [ - "▁throm", - "bin" - ], - [ - "▁thromb", - "in" - ], - [ - "▁Compar", - "ative" - ], - [ - "K", - "i" - ], - [ - "也", - "行" - ], - [ - "青", - "天" - ], - [ - "TE", - "S" - ], - [ - "T", - "ES" - ], - [ - "可以", - "有" - ], - [ - "持有", - "的" - ], - [ - "持", - "有的" - ], - [ - "nR", - "en" - ], - [ - "nRe", - "n" - ], - [ - "n", - "Ren" - ], - [ - "Nav", - "igator" - ], - [ - "▁pitch", - "ing" - ], - [ - "▁pit", - "ching" - ], - [ - "▁analges", - "ia" - ], - [ - "抢", - "购" - ], - [ - "而", - "下" - ], - [ - "本", - "项目" - ], - [ - "系列", - "活动" - ], - [ - "Vo", - "ice" - ], - [ - "V", - "oice" - ], - [ - "▁C", - "laus" - ], - [ - "▁Cl", - "aus" - ], - [ - "二〇一六年", - "十" - ], - [ - "ic", - "ating" - ], - [ - "ica", - "ting" - ], - [ - "▁ar", - "ranging" - ], - [ - "▁arr", - "anging" - ], - [ - "▁arrang", - "ing" - ], - [ - "S", - "Z" - ], - [ - "状态", - "的" - ], - [ - "Mar", - "y" - ], - [ - "Ma", - "ry" - ], - [ - "M", - "ary" - ], - [ - "ic", - "ki" - ], - [ - "ick", - "i" - ], - [ - "第十", - "四章" - ], - [ - "第十四", - "章" - ], - [ - "第", - "十四章" - ], - [ - "mor", - "tem" - ], - [ - "mort", - "em" - ], - [ - "▁hor", - "ny" - ], - [ - "▁horn", - "y" - ], - [ - "▁diaph", - "rag" - ], - [ - "▁dis", - "traction" - ], - [ - "▁di", - "straction" - ], - [ - "▁distr", - "action" - ], - [ - "州市中级人民法院", - "提出上诉" - ], - [ - "州", - "市中级人民法院提出上诉" - ], - [ - "焚", - "烧" - ], - [ - "▁V", - "es" - ], - [ - "▁Ve", - "s" - ], - [ - "下面", - "是一个" - ], - [ - "下面是", - "一个" - ], - [ - "index", - "es" - ], - [ - "Inst", - "ances" - ], - [ - "Instance", - "s" - ], - [ - "▁Inter", - "val" - ], - [ - "▁", - "Interval" - ], - [ - "▁microbi", - "ota" - ], - [ - "az", - "o" - ], - [ - "a", - "zo" - ], - [ - "销售", - "等" - ], - [ - "▁Ro", - "ots" - ], - [ - "▁Root", - "s" - ], - [ - "▁am", - "alg" - ], - [ - "▁a", - "rche" - ], - [ - "▁ar", - "che" - ], - [ - "▁arch", - "e" - ], - [ - "▁arc", - "he" - ], - [ - "▁w", - "ives" - ], - [ - "▁wi", - "ves" - ], - [ - "▁", - "wives" - ], - [ - "ны", - "й" - ], - [ - "结果", - "与" - ], - [ - "裁决", - "书" - ], - [ - "fa", - "tal" - ], - [ - "fat", - "al" - ], - [ - "f", - "atal" - ], - [ - "▁se", - "aling" - ], - [ - "▁sea", - "ling" - ], - [ - "▁seal", - "ing" - ], - [ - "de", - "scribed" - ], - [ - "des", - "cribed" - ], - [ - "describe", - "d" - ], - [ - "▁embrace", - "d" - ], - [ - "▁embr", - "aced" - ], - [ - "▁circuit", - "ry" - ], - [ - "▁panor", - "amic" - ], - [ - "▁Eng", - "agement" - ], - [ - "两", - "三" - ], - [ - "你不", - "是" - ], - [ - "你", - "不是" - ], - [ - "▁M", - "AR" - ], - [ - "▁MA", - "R" - ], - [ - "▁", - "MAR" - ], - [ - "vd", - "ots" - ], - [ - "v", - "dots" - ], - [ - "▁draw", - "ers" - ], - [ - "▁drawer", - "s" - ], - [ - "▁toile", - "ts" - ], - [ - "▁toilet", - "s" - ], - [ - "二", - "号" - ], - [ - "对", - "决" - ], - [ - "铸", - "铁" - ], - [ - "][", - ":" - ], - [ - "]", - "[:" - ], - [ - "sv", - "c" - ], - [ - "s", - "vc" - ], - [ - "区间", - "为" - ], - [ - "的一", - "样" - ], - [ - "的", - "一样" - ], - [ - "的数", - "是" - ], - [ - "的", - "数是" - ], - [ - "污染", - "防治" - ], - [ - "简直", - "就是" - ], - [ - "do", - "ing" - ], - [ - "doi", - "ng" - ], - [ - "▁h", - "ype" - ], - [ - "▁hy", - "pe" - ], - [ - "▁hyp", - "e" - ], - [ - "▁congr", - "u" - ], - [ - "▁cong", - "ru" - ], - [ - "▁tra", - "pez" - ], - [ - "▁trap", - "ez" - ], - [ - "▁trape", - "z" - ], - [ - "prepare", - "d" - ], - [ - "prep", - "ared" - ], - [ - "本案", - "诉讼费由被告承担" - ], - [ - "本案诉讼费", - "由被告承担" - ], - [ - "中", - "风" - ], - [ - "拟", - "定" - ], - [ - "捕", - "获" - ], - [ - "是", - "会" - ], - [ - "皮", - "书" - ], - [ - "福", - "音" - ], - [ - "荣", - "华" - ], - [ - "EA", - "A" - ], - [ - "E", - "AA" - ], - [ - "UN", - "G" - ], - [ - "U", - "NG" - ], - [ - "▁d", - "m" - ], - [ - "▁", - "dm" - ], - [ - "加大", - "对" - ], - [ - "▁D", - "ul" - ], - [ - "▁Du", - "l" - ], - [ - "PA", - "RAM" - ], - [ - "PAR", - "AM" - ], - [ - "▁func", - "tools" - ], - [ - "▁funct", - "ools" - ], - [ - "拟", - "任" - ], - [ - "是", - "种" - ], - [ - "gr", - "en" - ], - [ - "gre", - "n" - ], - [ - "g", - "ren" - ], - [ - "▁A", - "IM" - ], - [ - "▁AI", - "M" - ], - [ - "ml", - "ess" - ], - [ - "m", - "less" - ], - [ - "住所地", - "江苏省" - ], - [ - "▁h", - "acker" - ], - [ - "▁hack", - "er" - ], - [ - "Over", - "view" - ], - [ - "▁for", - "give" - ], - [ - "▁forg", - "ive" - ], - [ - "▁veter", - "in" - ], - [ - "▁reservoir", - "s" - ], - [ - "▁civil", - "ization" - ], - [ - "专", - "访" - ], - [ - "养", - "的" - ], - [ - "泊", - "尔" - ], - [ - "圆柱", - "形" - ], - [ - "随时", - "随地" - ], - [ - "厦门市", - "思明" - ], - [ - "nIn", - "cre" - ], - [ - "nInc", - "re" - ], - [ - "n", - "Incre" - ], - [ - "上诉于", - "上海市" - ], - [ - "▁brief", - "ing" - ], - [ - "▁div", - "isors" - ], - [ - "▁divisor", - "s" - ], - [ - "▁dis", - "position" - ], - [ - "▁disp", - "osition" - ], - [ - "と", - "い" - ], - [ - "创", - "设" - ], - [ - "特", - "拉" - ], - [ - "泰安", - "市" - ], - [ - "泰", - "安市" - ], - [ - "▁V", - "augh" - ], - [ - "▁Va", - "ugh" - ], - [ - "▁threat", - "en" - ], - [ - "▁sim", - "ulating" - ], - [ - "一", - "汽" - ], - [ - "基", - "石" - ], - [ - "大", - "牌" - ], - [ - "食", - "疗" - ], - [ - "ous", - "se" - ], - [ - "▁m", - "ans" - ], - [ - "▁man", - "s" - ], - [ - "▁ma", - "ns" - ], - [ - "▁", - "mans" - ], - [ - "et", - "ched" - ], - [ - "etch", - "ed" - ], - [ - "etc", - "hed" - ], - [ - "▁原", - "料" - ], - [ - "▁", - "原料" - ], - [ - "皮肤", - "的" - ], - [ - "▁e", - "go" - ], - [ - "▁eg", - "o" - ], - [ - "▁", - "ego" - ], - [ - "行政", - "审批" - ], - [ - "▁G", - "ain" - ], - [ - "▁Ga", - "in" - ], - [ - "iz", - "umab" - ], - [ - "▁py", - "ram" - ], - [ - "▁pyr", - "am" - ], - [ - "sam", - "pling" - ], - [ - "▁sn", - "ippets" - ], - [ - "▁snippet", - "s" - ], - [ - "hom", - "ogeneous" - ], - [ - "乳", - "化" - ], - [ - "保", - "研" - ], - [ - "减", - "灾" - ], - [ - "执", - "教" - ], - [ - "站", - "位" - ], - [ - "这", - "支" - ], - [ - "NA", - "S" - ], - [ - "N", - "AS" - ], - [ - "▁ST", - "AR" - ], - [ - "▁", - "STAR" - ], - [ - "▁K", - "athy" - ], - [ - "▁Kat", - "hy" - ], - [ - "▁Ka", - "thy" - ], - [ - "▁Kath", - "y" - ], - [ - "二〇一四年", - "九月" - ], - [ - "▁Krish", - "na" - ], - [ - "▁musc", - "uloskeletal" - ], - [ - "抽", - "出" - ], - [ - "时", - "可" - ], - [ - "和", - "时间" - ], - [ - "nas", - "ium" - ], - [ - "ge", - "ometric" - ], - [ - "geo", - "metric" - ], - [ - "geom", - "etric" - ], - [ - "并", - "入" - ], - [ - "永", - "嘉" - ], - [ - "会议", - "由" - ], - [ - "长大", - "的" - ], - [ - "长", - "大的" - ], - [ - "▁B", - "ri" - ], - [ - "▁Br", - "i" - ], - [ - "市场", - "价格" - ], - [ - "▁Min", - "eral" - ], - [ - "▁Mine", - "ral" - ], - [ - "▁prom", - "pts" - ], - [ - "▁prompt", - "s" - ], - [ - "▁tr", - "apping" - ], - [ - "▁tra", - "pping" - ], - [ - "▁trap", - "ping" - ], - [ - "∈", - "（" - ], - [ - "十堰", - "市" - ], - [ - "红", - "细胞" - ], - [ - "bi", - "sh" - ], - [ - "bis", - "h" - ], - [ - "b", - "ish" - ], - [ - "pl", - "acing" - ], - [ - "plac", - "ing" - ], - [ - "GL", - "IGENCE" - ], - [ - "▁Pok", - "émon" - ], - [ - "▁plac", - "enta" - ], - [ - "上", - "火" - ], - [ - "超", - "强" - ], - [ - "bl", - "att" - 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"袜", - "子" - ], - [ - "nL", - "OG" - ], - [ - "n", - "LOG" - ], - [ - "ced", - "ures" - ], - [ - "cedure", - "s" - ], - [ - "▁eff", - "lux" - ], - [ - "▁s", - "ounding" - ], - [ - "▁so", - "unding" - ], - [ - "▁sound", - "ing" - ], - [ - "▁accel", - "erator" - ], - [ - "▁acceler", - "ator" - ], - [ - "▁micro", - "vascular" - ], - [ - "的", - "眼睛" - ], - [ - "大学", - "教授" - ], - [ - "▁tele", - "com" - ], - [ - "▁tel", - "ecom" - ], - [ - "▁aspir", - "ations" - ], - [ - "▁aspiration", - "s" - ], - [ - "▁", - "乐" - ], - [ - "附", - "上" - ], - [ - "停", - "下来" - ], - [ - "▁s", - "oo" - ], - [ - "▁so", - "o" - ], - [ - "抗美", - "援朝" - ], - [ - "▁ad", - "orn" - ], - [ - "nAss", - "ume" - ], - [ - "第六十七条", - "第一款" - ], - [ - "第六十七", - "条第一款" - ], - [ - "▁Insp", - "ired" - ], - [ - "▁vibr", - "ations" - ], - [ - "▁vibration", - "s" - ], - [ - "受", - "邀" - ], - [ - "多", - "变" - ], - [ - "逆", - "袭" - ], - [ - "好几", - "个" - ], - [ - "好", - "几个" - ], - [ - "sk", - "ins" - ], - [ - "ski", - "ns" - ], - 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], - [ - "▁la", - "kh" - ], - [ - "lic", - "ted" - ], - [ - "lict", - "ed" - ], - [ - "l", - "icted" - ], - [ - "▁g", - "mail" - ], - [ - "▁", - "gmail" - ], - [ - "nNo", - "vels" - ], - [ - "nNov", - "els" - ], - [ - "Sim", - "ulation" - ], - [ - "\")", - "（" - ], - [ - "是", - "关键" - ], - [ - "pres", - "ence" - ], - [ - "á", - "g" - ], - [ - "永", - "乐" - ], - [ - "给", - "它" - ], - [ - "辱", - "骂" - ], - [ - "沙坪", - "坝" - ], - [ - "▁O", - "bt" - ], - [ - "▁Ob", - "t" - ], - [ - "▁Cl", - "aude" - ], - [ - "▁Claud", - "e" - ], - [ - "▁g", - "ourmet" - ], - [ - "▁re", - "union" - ], - [ - "▁reun", - "ion" - ], - [ - "▁strateg", - "ically" - ], - [ - "▁strategic", - "ally" - ], - [ - "七八", - "糟" - ], - [ - "十三", - "五" - ], - [ - "十", - "三五" - ], - [ - "在", - "路上" - ], - [ - "▁b", - "ei" - ], - [ - "▁be", - "i" - ], - [ - "跨境", - "电商" - ], - [ - "Ne", - "ill" - ], - [ - "▁m", - "ang" - ], - [ - "▁man", - "g" - ], - [ - "▁ma", - "ng" - ], - [ - "▁m", - "otto" - ], - [ - "▁mot", - "to" - ], - 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"最佳的", - "答案" - ], - [ - "▁s", - "ucking" - ], - [ - "▁suc", - "king" - ], - [ - "▁suck", - "ing" - ], - [ - "type", - "param" - ], - [ - "▁stress", - "ors" - ], - [ - "直接", - "用" - ], - [ - "br", - "on" - ], - [ - "bro", - "n" - ], - [ - "b", - "ron" - ], - [ - "回答", - "一道" - ], - [ - "大家", - "都是" - ], - [ - "大家都", - "是" - ], - [ - "这个", - "事情" - ], - [ - "这方面", - "的" - ], - [ - "这", - "方面的" - ], - [ - "J", - "apan" - ], - [ - "Term", - "s" - ], - [ - "Ter", - "ms" - ], - [ - "▁b", - "red" - ], - [ - "▁br", - "ed" - ], - [ - "▁bre", - "d" - ], - [ - "▁", - "bred" - ], - [ - "▁C", - "ancel" - ], - [ - "▁Can", - "cel" - ], - [ - "▁", - "Cancel" - ], - [ - "平面", - "直角坐标系" - ], - [ - "机场等接", - "车服务" - ], - [ - "▁Daniel", - "s" - ], - [ - "▁Dani", - "els" - ], - [ - "c", - "plusplus" - ], - [ - "▁depart", - "ed" - ], - [ - "写", - "过" - ], - [ - "西", - "欧" - ], - [ - "尽", - "全力" - ], - [ - "▁S", - "ey" - ], - [ - "▁Se", - "y" - ], - [ - "这个", - "过程" - ], - [ - "Br", - "own" - ], - [ - "Bro", - "wn" - ], - [ - "B", - "rown" - ], - [ - "nc", - "all" - ], - [ - "n", - "call" - ], - [ - "▁m", - "age" - ], - [ - "▁mag", - "e" - ], - [ - "▁ma", - "ge" - ], - [ - "电动", - "自行车" - ], - [ - "▁ex", - "poses" - ], - [ - "▁exp", - "oses" - ], - [ - "▁expose", - "s" - ], - [ - "▁Requ", - "ests" - ], - [ - "▁Request", - "s" - ], - [ - "▁", - "Requests" - ], - [ - "▁Tele", - "gram" - ], - [ - "将", - "它" - ], - [ - "数", - "中" - ], - [ - "海", - "带" - ], - [ - "羟", - "基" - ], - [ - "陵", - "园" - ], - [ - "ev", - "il" - ], - [ - "e", - "vil" - ], - [ - "▁D", - "UI" - ], - [ - "▁DU", - "I" - ], - [ - "元的", - "事实" - ], - [ - "元", - "的事实" - ], - [ - "▁ge", - "om" - ], - [ - "▁geo", - "m" - ], - [ - "▁", - "geom" - ], - [ - "▁pro", - "j" - ], - [ - "▁pr", - "oj" - ], - [ - "▁", - "proj" - ], - [ - "需在", - "入住时" - ], - [ - "计算在", - "总价中" - ], - [ - "App", - "Data" - ], - [ - "▁fauc", - "et" - ], - [ - "附加费用", - "不会自动" - ], - [ - "需在入住时", - "另行支付" - ], - [ - "set", - "ObjectName" - ], - [ - "附加费用不会自动", - "计算在总价中" - ], - [ - "▁", - "郝" - ], - [ - "不", - "识" - ], - [ - "张", - "开" - ], - [ - "五年", - "级" - ], - [ - "五", - "年级" - ], - [ - "Ha", - "lf" - ], - [ - "H", - "alf" - ], - [ - "▁c", - "ra" - ], - [ - "▁cr", - "a" - ], - [ - "▁Re", - "ich" - ], - [ - "▁t", - "iger" - ], - [ - "▁ti", - "ger" - ], - [ - "scal", - "ajs" - ], - [ - "scala", - "js" - ], - [ - "▁sk", - "illet" - ], - [ - "▁skill", - "et" - ], - [ - "▁High", - "lands" - ], - [ - "▁Highland", - "s" - ], - [ - "Rec", - "yclerView" - ], - [ - "物业管理有限公司", - "撤回起诉" - ], - [ - "班", - "组" - ], - [ - "▁e", - "b" - ], - [ - "▁", - "eb" - ], - [ - "三千", - "元" - ], - [ - "三", - "千元" - ], - [ - "这条", - "路" - ], - [ - "直线", - "距离" - ], - [ - "▁CU", - "DA" - ], - [ - "RET", - "URN" - ], - [ - "reg", - "nant" - ], - [ - "regn", - "ant" - ], - [ - "▁gen", - "eal" - ], - [ - "▁gene", - "al" - ], - [ - "▁ge", - "neal" - ], - [ - "▁mast", - "urb" - ], - [ - "nS", - "aturday" - ], - [ - "n", - "Saturday" - ], - [ - "re", - "duction" - ], - [ - "red", - "uction" - ], - [ - "redu", - "ction" - ], - [ - "▁", - "阳" - ], - [ - "内", - "镜" - ], - [ - "断", - "电" - ], - [ - "而", - "你" - ], - [ - "肉", - "牛" - ], - [ - "风", - "月" - ], - [ - "华尔", - "街" - ], - [ - "▁M", - "Pa" - ], - [ - "▁MP", - "a" - ], - [ - "▁", - "MPa" - ], - [ - "如果", - "真的" - ], - [ - "主要", - "是因为" - ], - [ - "主要是", - "因为" - ], - [ - "然后从", - "提供的" - ], - [ - "请您", - "细致分析" - ], - [ - "oint", - "ment" - ], - [ - "▁AD", - "VISED" - ], - [ - "您将面临", - "一个挑战" - ], - [ - "回答一道", - "复杂选择题" - ], - [ - "▁phot", - "ovoltaic" - ], - [ - "在有限时间内", - "回答一道复杂选择题" - ], - [ - "人", - "会" - ], - [ - "夜", - "深" - ], - [ - "张", - "大" - ], - [ - "某某", - "在" - ], - [ - "某", - "某在" - ], - [ - "au", - "re" - ], - [ - "aur", - "e" - ], - [ - "a", - "ure" - ], - [ - "act", - "eria" - ], - [ - "acter", - "ia" - ], - [ - "该", - "国" - ], - [ - "赛", - "中" - ], - [ - "敌人", - "的" - ], - [ - "敌", - "人的" - ], - [ - "发展", - "前景" - ], - [ - "歌曲", - "歌词" - ], - [ - "找出", - "您认为" - ], - [ - "请您", - "全神贯注" - ], - [ - "地审查", - "以下这道" - ], - [ - "Stud", - "ents" - ], - [ - "Student", - "s" - ], - [ - "▁bl", - "ocker" - ], - [ - "▁block", - "er" - ], - [ - "找出您认为", - "最佳的答案" - ], - [ - "涉及广泛", - "知识的选择题" - ], - [ - "▁correct", - "ing" - ], - [ - "▁re", - "directed" - ], - [ - "▁red", - "irected" - ], - [ - "▁redirect", - "ed" - ], - [ - "请您全神贯注", - "地审查以下这道" - ], - [ - "▁", - "微" - ], - [ - "宝", - "塔" - ], - [ - "▁;", - ")" - ], - [ - "专门", - "为" - ], - [ - "在", - "深圳" - ], - [ - "必须", - "有" - ], - [ - "是", - "现代" - ], - [ - "cr", - "ate" - ], - [ - "c", - "rate" - ], - [ - "nS", - "end" - ], - [ - "nSe", - "nd" - ], - [ - "nSen", - "d" - ], - [ - "n", - "Send" - ], - [ - "▁F", - "lint" - ], - [ - "▁Fl", - "int" - ], - [ - "▁St", - "Object" - ], - [ - "公", - "尺" - ], - [ - "废", - "旧" - ], - [ - "活", - "了" - ], - [ - "%", - "}\\" - ], - [ - "ea", - "t" - ], - [ - "e", - "at" - ], - [ - "上升", - "到" - ], - [ - "立方", - "根" - ], - [ - "请", - "思考" - ], - [ - "▁G", - "at" - ], - [ - "▁Ga", - "t" - ], - [ - "an", - "ford" - ], - [ - "uous", - "ly" - ], - [ - "u", - "ously" - ], - [ - "▁n", - "emat" - ], - [ - "▁ne", - "mat" - ], - [ - "at", - "ation" - ], - [ - "ata", - "tion" - ], - [ - "童", - "装" - ], - [ - "面", - "面" - ], - [ - "▁B", - "W" - ], - [ - "▁", - "BW" - ], - [ - "▁F", - "ault" - ], - [ - "▁Fa", - "ult" - ], - [ - "▁b", - "ells" - ], - [ - "▁bel", - "ls" - ], - [ - "▁bell", - "s" - ], - [ - "▁sh", - "ampoo" - ], - [ - "▁invent", - "or" - ], - [ - "▁export", - "ing" - ], - [ - "CC", - "A" - ], - [ - "C", - "CA" - ], - [ - "GF", - "P" - ], - [ - "G", - "FP" - ], - [ - "▁D", - "X" - ], - [ - "▁", - "DX" - ], - [ - "可能", - "与" - ], - [ - "可", - "能与" - ], - [ - "el", - "es" - ], - [ - "ele", - "s" - ], - [ - "e", - "les" - ], - [ - "hb", - "ox" - ], - [ - "h", - "box" - ], - [ - "▁K", - "ah" - ], - [ - "▁Ka", - "h" - ], - [ - "▁G", - "nRH" - ], - [ - "不动产", - "登记" - ], - [ - "公司", - "董事长" - ], - [ - "证券", - "交易所" - ], - [ - "ger", - "ald" - ], - [ - "g", - "erald" - ], - [ - "▁conf", - "igs" - ], - [ - "▁config", - "s" - ], - [ - "▁", - "configs" - ], - [ - "人大常委会", - "副主任" - ], - [ - "巴", - "掌" - ], - [ - "货", - "品" - ], - [ - "也", - "并不" - ], - [ - "恨", - "不得" - ], - [ - "所以", - "你" - ], - [ - "▁I", - "MO" - ], - [ - "▁IM", - "O" - ], - [ - "▁", - "IMO" - ], - [ - "以下", - "有关" - ], - [ - "数学", - "模型" - ], - [ - "ec", - "ode" - ], - [ - "eco", - "de" - ], - [ - "e", - "code" - ], - [ - "▁Hy", - "de" - ], - [ - "▁Hyd", - "e" - ], - [ - "▁T", - "ale" - ], - [ - "▁Ta", - "le" - ], - [ - "▁Tal", - "e" - ], - [ - "▁dom", - "est" - ], - [ - "▁dome", - "st" - ], - [ - "ament", - "als" - ], - [ - "amental", - "s" - ], - [ - "▁Intellig", - "ent" - ], - [ - "▁screen", - "writer" - ], - [ - "之", - "差" - ], - [ - "照", - "亮" - ], - [ - "迫", - "使" - ], - [ - "bm", - "p" - ], - [ - "b", - "mp" - ], - [ - "上诉", - "费" - ], - [ - "流量", - "的" - ], - [ - "流", - "量的" - ], - [ - "\\\\", - ")”" - ], - [ - "\\\\)", - "”" - ], - [ - "ig", - "ne" - ], - [ - "ign", - "e" - ], - [ - "不可", - "替代" - ], - [ - "年", - "下半年" - ], - [ - "批发", - "市场" - ], - [ - "▁A", - "jax" - ], - [ - "▁Aj", - "ax" - ], - [ - "▁S", - "ilk" - ], - [ - "▁Sil", - "k" - ], - [ - "▁mis", - "con" - ], - [ - "▁misc", - "on" - ], - [ - "power", - "shell" - ], - [ - "powers", - "hell" - ], - [ - "LE", - "SS" - ], - [ - "LES", - "S" - ], - [ - "L", - "ESS" - ], - [ - "ne", - "ut" - ], - [ - "▁Ex", - "hib" - ], - [ - "▁unem", - "ployed" - ], - [ - "储", - "能" - ], - [ - "铭", - "记" - ], - [ - "快捷", - "键" - ], - [ - "简单", - "来说" - ], - [ - "这个", - "角色" - ], - [ - "▁Ge", - "tty" - ], - [ - "▁Get", - "ty" - ], - [ - "▁he", - "ats" - ], - [ - "▁heat", - "s" - ], - [ - "Can", - "adian" - ], - [ - "▁S", - "anchez" - ], - [ - "帮我做", - "一道选择题" - ], - [ - "nMore", - "over" - ], - [ - "▁att", - "aching" - ], - [ - "▁attach", - "ing" - ], - [ - "一", - "回" - ], - [ - "按", - "压" - ], - [ - "接", - "管" - ], - [ - "整", - "容" - ], - [ - "筹", - "资" - ], - [ - "白", - "内障" - ], - [ - "ha", - "ra" - ], - [ - "har", - "a" - ], - [ - "h", - "ara" - ], - [ - "nE", - "nt" - ], - [ - "nEn", - "t" - ], - [ - "n", - "Ent" - ], - [ - "▁M", - "our" - ], - [ - "▁Mo", - "ur" - ], - [ - "▁Y", - "osh" - ], - [ - "▁Yo", - "sh" - ], - [ - "▁regular", - "ization" - ], - [ - "▁Y", - "i" - ], - [ - "权利", - "的" - ], - [ - "权", - "利的" - ], - [ - "tw", - "ig" - ], - [ - "t", - "wig" - ], - [ - "▁s", - "uture" - ], - [ - "▁su", - "ture" - ], - [ - "▁sut", - "ure" - ], - [ - "信息的", - "若干规定" - ], - [ - "给出", - "正确的选项" - ], - [ - "Ga", - "ussian" - ], - [ - "atur", - "days" - ], - [ - "aturday", - "s" - ], - [ - "▁foss", - "ils" - ], - [ - "▁fossil", - "s" - ], - [ - "▁spin", - "ach" - ], - [ - "▁film", - "makers" - ], - [ - "▁filmm", - "akers" - ], - [ - "▁filmmaker", - "s" - ], - [ - "仔细阅读", - "下面这道选择题" - ], - [ - "▁Access", - "ories" - ], - [ - "振", - "荡" - ], - [ - "▁d", - "ns" - ], - [ - "▁", - "dns" - ], - [ - "进行了", - "研究" - ], - [ - "ich", - "lor" - ], - [ - "i", - "chlor" - ], - [ - "rac", - "ial" - ], - [ - "r", - "acial" - ], - [ - "是一部", - "连载于" - ], - [ - "ident", - "ally" - ], - [ - "idental", - "ly" - ], - [ - "▁elect", - "roc" - ], - [ - "▁electro", - "c" - ], - [ - "▁electr", - "oc" - ], - [ - "▁soc", - "iology" - ], - [ - "▁soci", - "ology" - ], - [ - "▁socio", - "logy" - ], - [ - "▁abbrev", - "iated" - ], - [ - "照", - "相" - ], - [ - "了解", - "的" - ], - [ - "▁D", - "uc" - ], - [ - "▁Du", - "c" - ], - [ - "不当", - "得利" - ], - [ - "as", - "ton" - ], - [ - "ast", - "on" - ], - [ - "a", - "ston" - ], - [ - "▁b", - "ots" - ], - [ - "▁bo", - "ts" - ], - [ - "▁bot", - "s" - ], - [ - "▁", - "bots" - ], - [ - "▁p", - "yro" - ], - [ - "▁py", - "ro" - ], - [ - "▁pyr", - "o" - ], - [ - "▁in", - "let" - ], - [ - "▁i", - "nlet" - ], - [ - "▁un", - "det" - ], - [ - "▁und", - "et" - ], - [ - "请您", - "仔细阅读" - ], - [ - "▁cele", - "ry" - ], - [ - "▁cel", - "ery" - ], - [ - "占", - "总" - ], - [ - "记", - "事" - ], - [ - "wo", - "r" - ], - [ - "w", - "or" - ], - [ - "呈", - "批表" - ], - [ - "YY", - "YY" - ], - [ - "▁人物", - "名称" - ], - [ - "ag", - "ency" - ], - [ - "age", - "ncy" - ], - [ - "agen", - "cy" - ], - [ - "a", - "gency" - ], - [ - "▁Mac", - "OS" - ], - [ - "第一百四十", - "三条" - ], - [ - "▁road", - "map" - ], - [ - "▁entr", - "ants" - ], - [ - "您", - "需在入住时另行支付" - ], - [ - "▁de", - "generate" - ], - [ - "▁deg", - "enerate" - ], - [ - "▁re", - "sembling" - ], - [ - "天", - "一" - ], - [ - "托", - "运" - ], - [ - "登", - "临" - ], - [ - "红", - "叶" - ], - [ - "谁", - "会" - ], - [ - "vr", - "e" - ], - [ - "v", - "re" - ], - [ - "分享", - "了" - ], - [ - "nM", - "ad" - ], - [ - "nMa", - "d" - ], - [ - "n", - "Mad" - ], - [ - "到了", - "一个" - ], - [ - "到", - "了一个" - ], - [ - "我有", - "一道题" - ], - [ - "我有一", - "道题" - ], - [ - "▁in", - "land" - ], - [ - "▁Sch", - "neider" - ], - [ - "两", - "委" - ], - [ - "侥", - "幸" - ], - [ - "想", - "你" - ], - [ - "旭", - "东" - ], - [ - "热", - "电" - ], - [ - "闭", - "环" - ], - [ - "顾", - "虑" - ], - [ - "SA", - "P" - ], - [ - "S", - "AP" - ], - [ - "虽然", - "在" - ], - [ - "面积", - "约" - ], - [ - "受到", - "影响" - ], - [ - "▁B", - "ates" - ], - [ - "▁Ba", - "tes" - ], - [ - "▁Bat", - "es" - ], - [ - "十一", - "条之规定" - ], - [ - "十一条", - "之规定" - ], - [ - "▁H", - "acker" - ], - [ - "▁Hack", - "er" - ], - [ - "▁CON", - "CLUS" - ], - [ - "▁rhythm", - "ic" - ], - [ - "▁rhyth", - "mic" - ], - [ - "▁Conn", - "ected" - ], - [ - "▁Connect", - "ed" - ], - [ - "▁", - "Connected" - ], - [ - "最", - "深" - ], - [ - "洞", - "口" - ], - [ - "粗", - "暴" - ], - [ - "衣", - "裙" - ], - [ - "十八", - "年" - ], - [ - "十", - "八年" - ], - [ - "我", - "老公" - ], - [ - "Se", - "ver" - ], - [ - "S", - "ever" - ], - [ - "is", - "ans" - ], - [ - "isa", - "ns" - ], - [ - "isan", - "s" - ], - [ - "▁El", - "se" - ], - [ - "▁", - "Else" - ], - [ - "▁E", - "rin" - ], - [ - "▁Er", - "in" - ], - [ - "cl", - "iffe" - ], - [ - "int", - "osh" - ], - [ - "into", - "sh" - ], - [ - "▁nut", - "rit" - ], - [ - "▁nutr", - "it" - ], - [ - "n", - "content" - ], - [ - "▁re", - "solver" - ], - [ - "▁res", - "olver" - ], - [ - "▁resolve", - "r" - ], - [ - "▁", - "resolver" - ], - [ - "相", - "位" - ], - [ - "石", - "桥" - ], - [ - "▁书", - "评" - ], - [ - "尤其", - "在" - ], - [ - "尤", - "其在" - ], - [ - "月上", - "旬" - ], - [ - "Sp", - "ider" - ], - [ - "rat", - "ive" - ], - [ - "r", - "ative" - ], - [ - "及", - "早" - ], - [ - "各", - "异" - ], - [ - "晶", - "莹" - ], - [ - "退", - "伍" - ], - [ - "EF", - "F" - ], - [ - "E", - "FF" - ], - [ - "发现", - "有" - ], - [ - "发", - "现有" - ], - [ - "详细", - "介绍了" - ], - [ - "详细介绍", - "了" - ], - [ - "nSt", - "eps" - ], - [ - "nStep", - "s" - ], - [ - "nSte", - "ps" - ], - [ - "n", - "Steps" - ], - [ - "▁H", - "eter" - ], - [ - "▁He", - "ter" - ], - [ - "▁N", - "ucle" - ], - [ - "▁Nu", - "cle" - ], - [ - "▁W", - "olfram" - ], - [ - "▁Wolf", - "ram" - ], - [ - "▁Wol", - "fram" - ], - [ - "▁compet", - "ency" - ], - [ - "▁compete", - "ncy" - ], - [ - "▁Fund", - "amental" - ], - [ - "扑", - "克" - ], - [ - "am", - "mu" - ], - [ - "amm", - "u" - ], - [ - "结构", - "设计" - ], - [ - "nl", - "ine" - ], - [ - "n", - "line" - ], - [ - "▁C", - "rus" - ], - [ - "▁Cr", - "us" - ], - [ - "▁Cru", - "s" - ], - [ - "二〇一七年", - "七" - ], - [ - "各种", - "信息进行" - ], - [ - "REQUI", - "RE" - ], - [ - "Re", - "member" - ], - [ - "Rem", - "ember" - ], - [ - "▁stat", - "ues" - ], - [ - "▁statue", - "s" - ], - [ - "三", - "联" - ], - [ - "大庆", - "市" - ], - [ - "大", - "庆市" - ], - [ - "检察", - "官" - ], - [ - "的", - "感受" - ], - [ - "OP", - "ER" - ], - [ - "O", - "PER" - ], - [ - "▁I", - "st" - ], - [ - "▁Is", - "t" - ], - [ - "相关", - "专业" - ], - [ - "多领域", - "知识" - ], - [ - "▁Bud", - "dy" - ], - [ - "▁Budd", - "y" - ], - [ - "▁H", - "older" - ], - [ - "▁Hol", - "der" - ], - [ - "▁Hold", - "er" - ], - [ - "▁", - "Holder" - ], - [ - "inf", - "inity" - ], - [ - "▁Bre", - "wing" - ], - [ - "▁Brew", - "ing" - ], - [ - "an", - "u" - ], - [ - "a", - "nu" - ], - [ - "的", - "软件" - ], - [ - "Win", - "g" - ], - [ - "Wi", - "ng" - ], - [ - "W", - "ing" - ], - [ - "▁v", - "tk" - ], - [ - "▁", - "vtk" - ], - [ - "强", - "有力的" - ], - [ - "最", - "常见的" - ], - [ - "W", - "omen" - ], - [ - "▁商品", - "编号" - ], - [ - "并在", - "选项中" - ], - [ - "进行", - "解答即可" - ], - [ - "ex", - "porter" - ], - [ - "export", - "er" - ], - [ - "exp", - "orter" - ], - [ - "▁Re", - "fresh" - ], - [ - "▁Ref", - "resh" - ], - [ - "▁", - "Refresh" - ], - [ - "Percent", - "age" - ], - [ - "报", - "记者" - ], - [ - "un", - "de" - ], - [ - "und", - "e" - ], - [ - "u", - "nde" - ], - [ - "▁A", - "ux" - ], - [ - "▁Au", - "x" - ], - [ - "▁pitch", - "ers" - ], - [ - "▁pitcher", - "s" - ], - [ - "▁element", - "al" - ], - [ - "▁ele", - "mental" - ], - [ - "▁elem", - "ental" - ], - [ - "▁m", - "anganese" - ], - [ - "▁Compl", - "iance" - ], - [ - "请你帮我", - "选出正确的选项" - ], - [ - "re", - "newcommand" - ], - [ - "renew", - "command" - ], - [ - "去", - "哪" - ], - [ - "泛", - "滥" - ], - [ - "(\"", - "\"" - ], - [ - "(", - "\"\"" - ], - [ - "J", - "WT" - ], - [ - "但", - "随着" - ], - [ - "这种", - "东西" - ], - [ - "ng", - "ood" - ], - [ - "ngo", - "od" - ], - [ - "n", - "good" - ], - [ - "综合运用", - "各种" - ], - [ - "Layout", - "Inflater" - ], - [ - "不", - "失" - ], - [ - "入", - "伍" - ], - [ - "户", - "通" - ], - [ - "源", - "源" - ], - [ - "补", - "习" - ], - [ - "))", - "(" - ], - [ - ")", - ")(" - ], - [ - "可怕", - "的" - ], - [ - "ha", - "ir" - ], - [ - "hai", - "r" - ], - [ - "h", - "air" - ], - [ - "ls", - "en" - ], - [ - "l", - "sen" - ], - [ - "Lo", - "uis" - ], - [ - "L", - "ouis" - ], - [ - "Tor", - "ch" - ], - [ - "T", - "orch" - ], - [ - "dot", - "env" - ], - [ - "mark", - "up" - ], - [ - "最准确", - "的答案" - ], - [ - "▁sit", - "com" - ], - [ - "二〇一五年", - "二月" - ], - [ - "▁Met", - "rics" - ], - [ - "▁Metric", - "s" - ], - [ - "▁", - "Metrics" - ], - [ - "per", - "fusion" - ], - [ - "perf", - "usion" - ], - [ - "一", - "米" - ], - [ - "兰", - "花" - ], - [ - "新", - "诗" - ], - [ - "普", - "拉" - ], - [ - "溯", - "源" - ], - [ - "虚", - "伪" - ], - [ - "▁`", - "_" - ], - [ - "天然", - "的" - ], - [ - "天", - "然的" - ], - [ - "数据", - "和" - ], - [ - "子宫", - "内膜" - ], - [ - "Tra", - "its" - ], - [ - "Trait", - "s" - ], - [ - "T", - "raits" - ], - [ - "▁M", - "ature" - ], - [ - "▁Mat", - "ure" - ], - [ - "▁Ma", - "ture" - ], - [ - "▁d", - "ermal" - ], - [ - "▁der", - "mal" - ], - [ - "▁Haus", - "dorff" - ], - [ - "▁call", - "backs" - ], - [ - "▁callback", - "s" - ], - [ - "▁", - "callbacks" - ], - [ - "剥", - "离" - ], - [ - "君", - "王" - ], - [ - "土", - "路" - ], - [ - "排", - "毒" - ], - [ - "复制", - "到" - ], - [ - "AN", - "CH" - ], - [ - "FP", - "GA" - ], - [ - "下面", - "是一道" - ], - [ - "下面是", - "一道" - ], - [ - "nAdd", - "ed" - ], - [ - "nAd", - "ded" - ], - [ - "n", - "Added" - ], - [ - "▁c", - "urry" - ], - [ - "▁cur", - "ry" - ], - [ - "▁curr", - "y" - ], - [ - "heart", - "ed" - ], - [ - "ost", - "atic" - ], - [ - "ostat", - "ic" - ], - [ - "osta", - "tic" - ], - [ - "o", - "static" - ], - [ - "re", - "eting" - ], - [ - "ree", - "ting" - ], - [ - "reet", - "ing" - ], - [ - "并在选项中", - "确定" - ], - [ - "涉及", - "多领域知识" - ], - [ - "Be", - "autiful" - ], - [ - "▁pleth", - "ora" - ], - [ - "▁st", - "acking" - ], - [ - "▁stack", - "ing" - ], - [ - "▁P", - "ermanent" - ], - [ - "▁attack", - "ers" - ], - [ - "▁attacker", - "s" - ], - [ - "▁nanot", - "ubes" - ], - [ - "下面是一道", - "复杂选择题" - ], - [ - "请仔细阅读", - "问题和选项" - ], - [ - "translation", - "s" - ], - [ - "transl", - "ations" - ], - [ - "▁Organ", - "izations" - ], - [ - "▁Organization", - "s" - ], - [ - "L", - "u" - ], - [ - "水", - "印" - ], - [ - "法", - "宝" - ], - [ - "独", - "创" - ], - [ - "ot", - "r" - ], - [ - "o", - "tr" - ], - [ - "体育", - "运动" - ], - [ - "nl", - "ast" - ], - [ - "n", - "last" - ], - [ - "美术", - "出版社" - ], - [ - "ap", - "ollo" - ], - [ - "apol", - "lo" - ], - [ - "贷款利率", - "计算" - ], - [ - "▁sub", - "merged" - ], - [ - "▁Buck", - "ingham" - ], - [ - "劳", - "累" - ], - [ - "善", - "意" - ], - [ - "实", - "处" - ], - [ - "时", - "下" - ], - [ - "▁", - "添加" - ], - [ - "li", - "de" - ], - [ - "l", - "ide" - ], - [ - "▁RF", - "ID" - ], - [ - "wh", - "atever" - ], - [ - "what", - "ever" - ], - [ - "nL", - "icensed" - ], - [ - "n", - "Licensed" - ], - [ - "▁plant", - "ation" - ], - [ - "▁", - "plantation" - ], - [ - "▁Austral", - "ians" - ], - [ - "▁Australia", - "ns" - ], - [ - "▁Australian", - "s" - ], - [ - "▁", - "齐" - ], - [ - "南", - "沙" - ], - [ - "多", - "于" - ], - [ - "纹", - "身" - ], - [ - "gi", - "l" - ], - [ - "g", - "il" - ], - [ - "出入", - "境" - ], - [ - "出", - "入境" - ], - [ - "▁G", - "in" - ], - [ - "▁Gi", - "n" - ], - [ - "OT", - "HER" - ], - [ - "OTH", - "ER" - ], - [ - "O", - "THER" - ], - [ - "▁s", - "erm" - ], - [ - "▁se", - "rm" - ], - [ - "▁ser", - "m" - ], - [ - "提出", - "撤诉申请" - ], - [ - "最合适的", - "选项" - ], - [ - "▁my", - "elin" - ], - [ - "▁myel", - "in" - ], - [ - "这道题目", - "是一道" - ], - [ - "信息", - "科技有限公司" - ], - [ - "Coll", - "ision" - ], - [ - "▁App", - "lying" - ], - [ - "▁Appl", - "ying" - ], - [ - "▁Apply", - "ing" - ], - [ - "▁un", - "bounded" - ], - [ - "▁neuro", - "imaging" - ], - [ - "VP", - "N" - ], - [ - "V", - "PN" - ], - [ - "在", - "广州" - ], - [ - "▁R", - "ats" - ], - [ - "▁Ra", - "ts" - ], - [ - "▁Rat", - "s" - ], - [ - "▁fun", - "nel" - ], - [ - "▁no", - "ises" - ], - [ - "▁noise", - "s" - ], - [ - "al", - "gebras" - ], - [ - "algebra", - "s" - ], - [ - "▁milit", - "ants" - ], - [ - "第六十七条第三款", - "之规定" - ], - [ - "▁explan", - "atory" - ], - [ - "主", - "食" - ], - [ - "滚", - "子" - ], - [ - "箭", - "头" - ], - [ - "逼", - "近" - ], - [ - "IN", - "O" - ], - [ - "I", - "NO" - ], - [ - "▁S", - "OD" - ], - [ - "▁SO", - "D" - ], - [ - "▁", - "SOD" - ], - [ - "广播", - "电台" - ], - [ - "首先", - "根据" - ], - [ - "首", - "先根据" - ], - [ - "▁f", - "unk" - ], - [ - "▁fun", - "k" - ], - [ - "▁fu", - "nk" - ], - [ - "然后", - "会提供" - ], - [ - "▁s", - "aint" - ], - [ - "▁sa", - "int" - ], - [ - "并确定", - "您认为" - ], - [ - "接下来", - "这道题目是一道" - ], - [ - "▁Hyp", - "othesis" - ], - [ - "请您仔细阅读", - "问题和选项" - ], - [ - "▁Per", - "spective" - ], - [ - "▁Pers", - "pective" - ], - [ - "并确定您认为", - "最准确的答案" - ], - [ - "买", - "方" - ], - [ - "棒", - "的" - ], - [ - "每", - "夜" - ], - [ - "肯", - "干" - ], - [ - "nC", - "D" - ], - [ - "n", - "CD" - ], - [ - "▁o", - "ss" - ], - [ - "▁os", - "s" - ], - [ - "▁", - "oss" - ], - [ - "建立", - "健全" - ], - [ - "液晶", - "电视" - ], - [ - "膳食", - "纤维" - ], - [ - "日", - "交付执行" - ], - [ - "▁Mar", - "ía" - ], - [ - "第二百零", - "八条" - ], - [ - "给你一段", - "描述" - ], - [ - "请你根据", - "这段话" - ], - [ - "▁fl", - "ipped" - ], - [ - "▁flip", - "ped" - ], - [ - "然后会提供", - "几个选项" - ], - [ - "▁Log", - "istics" - ], - [ - "▁Logistic", - "s" - ], - [ - "从选项中选出", - "最合适的选项" - ], - [ - "执行通知", - "履行法律文书确定的义务" - ], - [ - "á", - "c" - ], - [ - "三", - "相" - ], - [ - "国", - "营" - ], - [ - "烧", - "结" - ], - [ - "腾", - "飞" - ], - [ - "国家", - "对" - ], - [ - "特性", - "的" - ], - [ - "特", - "性的" - ], - [ - "JP", - "EG" - ], - [ - "J", - "PEG" - ], - [ - "▁t", - "ad" - ], - [ - "▁ta", - "d" - ], - [ - "Ser", - "ve" - ], - [ - "Serv", - "e" - ], - [ - "S", - "erve" - ], - [ - "▁un", - "inter" - ], - [ - "▁u", - "ninter" - ], - [ - "▁unint", - "er" - ], - [ - "▁uni", - "nter" - ], - [ - "▁Friend", - "ly" - ], - [ - "▁Count", - "ries" - ], - [ - "迅", - "猛" - ], - [ - "▁", - "删除" - ], - [ - "项和", - "为" - ], - [ - "项", - "和为" - ], - [ - "日起至", - "实际" - ], - [ - "▁gar", - "ments" - ], - [ - "▁garment", - "s" - ], - [ - "▁C", - "andidates" - ], - [ - "▁Candid", - "ates" - ], - [ - "▁Candida", - "tes" - ], - [ - "▁Candidate", - "s" - ], - [ - "和", - "王" - ], - [ - "安", - "阳" - ], - [ - "药", - "理" - ], - [ - "Am", - "b" - ], - [ - "A", - "mb" - ], - [ - "了一", - "家" - ], - [ - "了", - "一家" - ], - [ - "ee", - "ks" - ], - [ - "eek", - "s" - ], - [ - "e", - "eks" - ], - [ - "的朋友", - "们" - ], - [ - "的", - "朋友们" - ], - [ - "仔细", - "的思考" - ], - [ - "二〇一五年", - "五月" - ], - [ - "t", - "K" - ], - [ - "题", - "库" - ], - [ - "的新", - "闻" - ], - [ - "的", - "新闻" - ], - [ - "],", - "[\"" - ], - [ - "],[", - "\"" - ], - [ - "▁P", - "aw" - ], - [ - "▁Pa", - "w" - ], - [ - "相比", - "之下" - ], - [ - "▁nan", - "ow" - ], - [ - "▁na", - "now" - ], - [ - "▁nano", - "w" - ], - [ - "▁ins", - "ider" - ], - [ - "▁inside", - "r" - ], - [ - "ahren", - "heit" - ], - [ - "nTh", - "ursday" - ], - [ - "n", - "Thursday" - ], - [ - "Every", - "thing" - ], - [ - "参与", - "到" - ], - [ - "Di", - "al" - ], - [ - "D", - "ial" - ], - [ - "▁E", - "TH" - ], - [ - "▁ET", - "H" - ], - [ - "▁", - "ETH" - ], - [ - "nb", - "ase" - ], - [ - "n", - "base" - ], - [ - "请在", - "给定的" - ], - [ - "接下来", - "您需要" - ], - [ - "该问题", - "需要对" - ], - [ - "回答一个", - "选择题" - ], - [ - "继续执行", - "的条件" - ], - [ - "各种信息进行", - "详细评估" - ], - [ - "▁stream", - "lined" - ], - [ - "▁streamline", - "d" - ], - [ - "接下来您需要", - "回答一个选择题" - ], - [ - "请在给定的", - "选项中挑选出正确答案" - ], - [ - "该问题需要对", - "各种信息进行详细评估" - ], - [ - "改", - "版" - ], - [ - "硕", - "果" - ], - [ - "体育", - "局" - ], - [ - "有", - "原告" - ], - [ - "步行", - "街" - ], - [ - "视为", - "其" - ], - [ - "视", - "为其" - ], - [ - "大", - "户" - ], - [ - "的", - "规律" - ], - [ - "▁li", - "ters" - ], - [ - "▁liter", - "s" - ], - [ - "▁lit", - "ers" - ], - [ - "▁under", - "grad" - ], - [ - "trans", - "former" - ], - [ - "transform", - "er" - ], - [ - "▁friend", - "ships" - ], - [ - "▁friends", - "hips" - ], - [ - "▁friendship", - "s" - ], - [ - "恩", - "怨" - ], - [ - "常见", - "病" - ], - [ - "nd", - "at" - ], - [ - "nda", - "t" - ], - [ - "n", - "dat" - ], - [ - "▁D", - "ish" - ], - [ - "▁Dis", - "h" - ], - [ - "▁Di", - "sh" - ], - [ - "▁F", - "avorite" - ], - [ - "▁cerebro", - "spinal" - ], - [ - "平", - "价" - ], - [ - "犯", - "了" - ], - [ - "笑", - "语" - ], - [ - "萧", - "条" - ], - [ - "重", - "塑" - ], - [ - "的高", - "端" - ], - [ - "的", - "高端" - ], - [ - "▁s", - "ua" - ], - [ - "▁su", - "a" - ], - [ - "}}", - "}\\\\" - ], - [ - "}}}", - "\\\\" - ], - [ - "}", - "}}\\\\" - ], - [ - "▁a", - "vian" - ], - [ - "▁av", - "ian" - ], - [ - "▁", - "avian" - ], - [ - "▁e", - "sters" - ], - [ - "▁est", - "ers" - ], - [ - "▁es", - "ters" - ], - [ - "▁este", - "rs" - ], - [ - "▁ester", - "s" - ], - [ - "▁", - "esters" - ], - [ - "▁INCIDENT", - "AL" - ], - [ - "房", - "内" - ], - [ - "汉", - "代" - ], - [ - "▁i", - "os" - ], - [ - "▁io", - "s" - ], - [ - "▁", - "ios" - ], - [ - "在线", - "汉语" - ], - [ - "og", - "rad" - ], - [ - "ogr", - "ad" - ], - [ - "o", - "grad" - ], - [ - "ip", - "otent" - ], - [ - "▁sew", - "age" - ], - [ - "▁C", - "ycling" - ], - [ - "▁Cycl", - "ing" - ], - [ - "American", - "s" - ], - [ - "Americ", - "ans" - ], - [ - "America", - "ns" - ], - [ - "▁knock", - "down" - ], - [ - "皇", - "子" - ], - [ - "阴", - "暗" - ], - [ - "雅", - "典" - ], - [ - "{}", - "/" - ], - [ - "{", - "}/" - ], - [ - "Mut", - "ex" - ], - [ - "Mu", - "tex" - ], - [ - "▁M", - "ali" - ], - [ - "▁Mal", - "i" - ], - [ - "▁Ma", - "li" - ], - [ - "▁Th", - "ur" - ], - [ - "▁Thu", - "r" - ], - [ - "▁C", - "ause" - ], - [ - "▁Ca", - "use" - ], - [ - "▁p", - "aran" - ], - [ - "▁par", - "an" - ], - [ - "▁para", - "n" - ], - [ - "▁pa", - "ran" - ], - [ - "两次以上的", - "影人" - ], - [ - "预测", - "问题的答案" - ], - [ - "Re", - "strict" - ], - [ - "Rest", - "rict" - ], - [ - "res", - "istance" - ], - [ - "ostruct", - "ures" - ], - [ - "o", - "structures" - ], - [ - "▁imprison", - "ed" - ], - [ - "▁", - "图" - ], - [ - "展", - "区" - ], - [ - "越", - "发" - ], - [ - "经营", - "部" - ], - [ - "平方", - "米的" - ], - [ - "平方米", - "的" - ], - [ - "资产", - "阶级" - ], - [ - "资", - "产阶级" - ], - [ - "▁R", - "ash" - ], - [ - "▁Ra", - "sh" - ], - [ - "▁Ras", - "h" - ], - [ - "并从", - "提供的" - ], - [ - "▁Sax", - "ony" - ], - [ - "一段文字", - "描述和" - ], - [ - "请思考", - "以下有关" - ], - [ - "▁ap", - "ology" - ], - [ - "▁apolog", - "y" - ], - [ - "▁apo", - "logy" - ], - [ - "下面是一个", - "选择题" - ], - [ - "▁under", - "pin" - ], - [ - "仔细", - "预测问题的答案" - ], - [ - "备选答案", - "中选择一个" - ], - [ - "专业领域", - "知识的选择题" - ], - [ - "▁un", - "ivariate" - ], - [ - "我会给你", - "一段文字描述和" - ], - [ - "▁mind", - "fulness" - ], - [ - "备选答案中选择一个", - "正确的选项" - ], - [ - "我会给你一段文字描述和", - "对应的选项" - ], - [ - "请你", - "从选项中选出你认为正确的答案" - ], - [ - "万", - "分" - ], - [ - "乔", - "丹" - ], - [ - "住所", - "地在" - ], - [ - "住所地", - "在" - ], - [ - "额外的", - "床" - ], - [ - "麻烦", - "帮我做" - ], - [ - "con", - "vex" - ], - [ - "conv", - "ex" - ], - [ - "▁tw", - "ists" - ], - [ - "▁twist", - "s" - ], - [ - "麻烦帮我做", - "一道题" - ], - [ - "nin", - "stance" - ], - [ - "n", - "instance" - ], - [ - "▁wing", - "span" - ], - [ - "▁wings", - "pan" - ], - [ - "se", - "tdefault" - ], - [ - "set", - "default" - ], - [ - "从选项中", - "选出正确的选项" - ], - [ - "从选项中选出", - "正确的选项" - ], - [ - "▁imprison", - "ment" - ], - [ - "储", - "藏" - ], - [ - "卑", - "微" - ], - [ - "护", - "卫" - ], - [ - "AB", - "B" - ], - [ - "A", - "BB" - ], - [ - "LT", - "E" - ], - [ - "L", - "TE" - ], - [ - "我不", - "能" - ], - [ - "我", - "不能" - ], - [ - "设立", - "的" - ], - [ - "man", - "i" - ], - [ - "ma", - "ni" - ], - [ - "m", - "ani" - ], - [ - "工作", - "温度" - ], - [ - "▁K", - "ell" - ], - [ - "▁Ke", - "ll" - ], - [ - "▁Kel", - "l" - ], - [ - "nSe", - "ptember" - ], - [ - "n", - "September" - ], - [ - "会", - "社" - ], - [ - "分", - "发" - ], - [ - "前", - "线" - ], - [ - "包", - "的" - ], - [ - "即", - "在" - ], - [ - "打", - "仗" - ], - [ - "▁g", - "t" - ], - [ - "▁", - "gt" - ], - [ - "的解集", - "为" - ], - [ - "这个", - "地方" - ], - [ - "ick", - "son" - ], - [ - "icks", - "on" - ], - [ - "label", - "led" - ], - [ - "lab", - "elled" - ], - [ - "г", - "и" - ], - [ - "▁", - "Ç" - ], - [ - "宽", - "的" - ], - [ - "手", - "柄" - ], - [ - "难", - "民" - ], - [ - "年代", - "的" - ], - [ - "年", - "代的" - ], - [ - "▁个", - "整数" - ], - [ - "张", - "额外的床" - ], - [ - "▁sw", - "arm" - ], - [ - "委托代理人", - "杨" - ], - [ - "▁re", - "sect" - ], - [ - "▁res", - "ect" - ], - [ - "launch", - "er" - ], - [ - "▁straw", - "berry" - ], - [ - "也", - "从" - ], - [ - "产", - "学" - ], - [ - "我", - "却" - ], - [ - "玉", - "龙" - ], - [ - "ño", - "s" - ], - [ - "ñ", - "os" - ], - [ - "ot", - "us" - ], - [ - "一个", - "好的" - ], - [ - "英雄", - "合击" - ], - [ - "▁go", - "og" - ], - [ - "▁", - "goog" - ], - [ - "▁}", - "),\\" - ], - [ - "▁})", - ",\\" - ], - [ - "▁", - "}),\\" - ], - [ - "申请再审", - "称" - ], - [ - "▁more", - "over" - ], - [ - "说", - "来" - ], - [ - "iz", - "u" - ], - [ - "i", - "zu" - ], - [ - "jo", - "h" - ], - [ - "j", - "oh" - ], - [ - "承德", - "市" - ], - [ - "承", - "德市" - ], - [ - "on", - "ga" - ], - [ - "ong", - "a" - ], - [ - "▁[", - "])" - ], - [ - "▁[]", - ")" - ], - [ - "▁", - "[])" - ], - [ - "返还", - "原告" - ], - [ - "顾", - "名思义" - ], - [ - "▁K", - "ris" - ], - [ - "▁Kr", - "is" - ], - [ - "▁Cr", - "ohn" - ], - [ - "▁Cro", - "hn" - ], - [ - "▁Graph", - "s" - ], - [ - "▁prior", - "i" - ], - [ - "▁pri", - "ori" - ], - [ - "▁Mod", - "ular" - ], - [ - "▁un", - "locked" - ], - [ - "▁unlock", - "ed" - ], - [ - "▁合作", - "两次以上的影人" - ], - [ - "▁Character", - "istics" - ], - [ - "▁", - "하" - ], - [ - "也", - "知道" - ], - [ - "有效", - "果" - ], - [ - "有", - "效果" - ], - [ - "网游", - "之" - ], - [ - "▁m", - "ars" - ], - [ - "▁mar", - "s" - ], - [ - "▁ma", - "rs" - ], - [ - "ikh", - "ail" - ], - [ - "st", - "ellar" - ], - [ - "▁S", - "unset" - ], - [ - "▁Sun", - "set" - ], - [ - "▁Su", - "nset" - ], - [ - "▁fet", - "uses" - ], - [ - "▁fetus", - "es" - ], - [ - "▁locom", - "otive" - ], - [ - "▁vol", - "umetric" - ], - [ - "▁eryth", - "rocyte" - ], - [ - "▁Manufact", - "urers" - ], - [ - "nP", - "y" - ], - [ - "n", - "Py" - ], - [ - "输", - "卵管" - ], - [ - "ch", - "arm" - ], - [ - "char", - "m" - ], - [ - "cha", - "rm" - ], - [ - "c", - "harm" - ], - [ - "en", - "ers" - ], - [ - "ener", - "s" - ], - [ - "ene", - "rs" - ], - [ - "e", - "ners" - ], - [ - "▁ju", - "ices" - ], - [ - "▁juice", - "s" - ], - [ - "▁s", - "olute" - ], - [ - "▁sol", - "ute" - ], - [ - "Media", - "Type" - ], - [ - "七日内", - "预交案件受理费" - ], - [ - "备", - "忘" - ], - [ - "多", - "米" - ], - [ - "科", - "比" - ], - [ - "([", - "^" - ], - [ - "(", - "[^" - ], - [ - "三轮", - "车" - ], - [ - "依次", - "为" - ], - [ - "加床", - "或" - ], - [ - "系数", - "为" - ], - [ - "系", - "数为" - ], - [ - "▁N", - "CI" - ], - [ - "▁NC", - "I" - ], - [ - "正在", - "进行" - ], - [ - "正", - "在进行" - ], - [ - "第十五", - "章" - ], - [ - "第", - "十五章" - ], - [ - "\\'", - ")]\\" - ], - [ - "\\')", - "]\\" - ], - [ - "rel", - "ude" - ], - [ - "relu", - "de" - ], - [ - "▁St", - "arter" - ], - [ - "▁Star", - "ter" - ], - [ - "▁Start", - "er" - ], - [ - "▁\\\\", - "\\\\\\\\\\\\" - ], - [ - "▁\\\\\\\\", - "\\\\\\\\" - ], - [ - "▁\\\\\\", - "\\\\\\\\\\" - ], - [ - "▁\\\\\\\\\\", - "\\\\\\" - ], - [ - "▁", - "\\\\\\\\\\\\\\\\" - ], - [ - "▁antidepress", - "ant" - ], - [ - "上", - "官" - ], - [ - "人", - "道" - ], - [ - "特", - "权" - ], - [ - "玉", - "树" - ], - [ - "网", - "讯" - ], - [ - "赤", - "壁" - ], - [ - "Du", - "e" - ], - [ - "D", - "ue" - ], - [ - "多余", - "的" - ], - [ - "青春", - "期" - ], - [ - "IO", - "US" - ], - [ - "一定", - "程度" - ], - [ - "新农村", - "建设" - ], - [ - "▁M", - "aven" - ], - [ - "▁Ma", - "ven" - ], - [ - "申请执行人", - "同意" - ], - [ - "▁blot", - "ting" - ], - [ - "iter", - "ations" - ], - [ - "iteration", - "s" - ], - [ - "Http", - "Response" - ], - [ - "▁transport", - "ing" - ], - [ - "▁", - "魔" - ], - [ - "与", - "被" - ], - [ - "冲", - "压" - ], - [ - "国", - "标" - ], - [ - "技", - "师" - ], - [ - "村", - "村" - ], - [ - "颇", - "具" - ], - [ - "Sl", - "f" - ], - [ - "S", - "lf" - ], - [ - "以及", - "几个" - ], - [ - "机械", - "工业" - ], - [ - "运用", - "扎实" - ], - [ - "▁H", - "olt" - ], - [ - "▁Hol", - "t" - ], - [ - "▁Ho", - "lt" - ], - [ - "Ar", - "thur" - ], - [ - "▁c", - "utter" - ], - [ - "▁cut", - "ter" - ], - [ - "▁wh", - "ichever" - ], - [ - "▁which", - "ever" - ], - [ - "延", - "时" - ], - [ - "男", - "篮" - ], - [ - "缓", - "和" - ], - [ - "az", - "zo" - ], - [ - "azz", - "o" - ], - [ - "当", - "且仅当" - ], - [ - "ig", - "ins" - ], - [ - "igin", - "s" - ], - [ - "igi", - "ns" - ], - [ - "▁C", - "orb" - ], - [ - "▁Co", - "rb" - ], - [ - "▁Cor", - "b" - ], - [ - "履行", - "生效法律文书所确定的义务" - ], - [ - "履行生效法律文书", - "所确定的义务" - ], - [ - "宛", - "如" - ], - [ - "月", - "末" - ], - [ - "背", - "着" - ], - [ - "DL", - "L" - ], - [ - "D", - "LL" - ], - [ - "人心", - "的" - ], - [ - "人", - "心的" - ], - [ - "人性", - "的" - ], - [ - "人", - "性的" - ], - [ - "▁N", - "aked" - ], - [ - "▁Nak", - "ed" - ], - [ - "▁test", - "is" - ], - [ - "▁Gaz", - "ette" - ], - [ - "▁model", - "led" - ], - [ - "▁mod", - "elled" - ], - [ - "全", - "军" - ], - [ - "动", - "向" - ], - [ - "改", - "写成" - ], - [ - "程序", - "的" - ], - [ - "RE", - "SP" - ], - [ - "RES", - "P" - ], - [ - "R", - "ESP" - ], - [ - "▁f", - "en" - ], - [ - "▁fe", - "n" - ], - [ - "▁", - "fen" - ], - [ - "全体", - "员工" - ], - [ - "至少", - "需要" - ], - [ - "ge", - "nome" - ], - [ - "gen", - "ome" - ], - [ - "▁off", - "ence" - ], - [ - "L", - "j" - ], - [ - "庆", - "区" - ], - [ - "温", - "带" - ], - [ - "睡", - "了" - ], - [ - "铁", - "岭" - ], - [ - "根据", - "其" - ], - [ - "鉴定", - "书" - ], - [ - "▁K", - "oz" - ], - [ - "▁Ko", - "z" - ], - [ - "的真实", - "性" - ], - [ - "的", - "真实性" - ], - [ - "PS", - "HOT" - ], - [ - "ui", - "ser" - ], - [ - "uis", - "er" - ], - [ - "u", - "iser" - ], - [ - "▁T", - "ina" - ], - [ - "▁Ti", - "na" - ], - [ - "▁Tin", - "a" - ], - [ - "▁se", - "ab" - ], - [ - "▁sea", - "b" - ], - [ - "DO", - "CKER" - ], - [ - "▁L", - "ever" - ], - [ - "▁Le", - "ver" - ], - [ - "▁Lev", - "er" - ], - [ - "所提出的", - "任何" - ], - [ - "As", - "String" - ], - [ - "sym", - "metric" - ], - [ - "s", - "ymmetric" - ], - [ - "nM", - "ur" - ], - [ - "n", - "Mur" - ], - [ - "上诉", - "案件" - ], - [ - "均需", - "获得" - ], - [ - "并从", - "所给" - ], - [ - "▁W", - "heat" - ], - [ - "▁Wh", - "eat" - ], - [ - "这道题", - "需要您" - ], - [ - "ic", - "ially" - ], - [ - "ici", - "ally" - ], - [ - "icial", - "ly" - ], - [ - "接下来的", - "选择题" - ], - [ - "FILE", - "NAME" - ], - [ - "nDis", - "play" - ], - [ - "n", - "Display" - ], - [ - "以便", - "作出正确判断" - ], - [ - "并从所给", - "选项中挑" - ], - [ - "运用扎实", - "的知识和" - ], - [ - "▁Pack", - "ages" - ], - [ - "▁Package", - "s" - ], - [ - "▁", - "Packages" - ], - [ - "Pro", - "jection" - ], - [ - "Project", - "ion" - ], - [ - "请仔细研究", - "接下来的选择题" - ], - [ - "运用扎实的知识和", - "仔细的思考" - ], - [ - "并从所给选项中挑", - "选出正确的答案" - ], - [ - "久", - "之" - ], - [ - "容", - "貌" - ], - [ - "nL", - "os" - ], - [ - "nLo", - "s" - ], - [ - "▁E", - "is" - ], - [ - "tM", - "onday" - ], - [ - "t", - "Monday" - ], - [ - "▁glyc", - "oproteins" - ], - [ - "▁glycoprotein", - "s" - ], - [ - "报", - "社" - ], - [ - "禁", - "烟" - ], - [ - "电脑", - "上" - ], - [ - "政法", - "大学" - ], - [ - "最", - "简单的" - ], - [ - "Join", - "t" - ], - [ - "Jo", - "int" - ], - [ - "J", - "oint" - ], - [ - "乘法", - "分配律" - ], - [ - "书", - "香" - ], - [ - "冬", - "梅" - ], - [ - "锯", - "齿" - ], - [ - "fu", - "r" - ], - [ - "f", - "ur" - ], - [ - "▁$", - "<" - ], - [ - "我想", - "说" - ], - [ - "我", - "想说" - ], - [ - "起重", - "机" - ], - [ - "ni", - "ca" - ], - [ - "nic", - "a" - ], - [ - "n", - "ica" - ], - [ - "▁P", - "ras" - ], - [ - "▁Pr", - "as" - ], - [ - "▁Pra", - "s" - ], - [ - "酒店的", - "确认" - ], - [ - "ap", - "unov" - ], - [ - "mac", - "ros" - ], - [ - "macro", - "s" - ], - [ - "加床或", - "婴儿床" - ], - [ - "的要求", - "均需获得" - ], - [ - "▁Base", - "ment" - ], - [ - "▁Bas", - "ement" - ], - [ - "▁both", - "ered" - ], - [ - "▁bother", - "ed" - ], - [ - "▁mach", - "ining" - ], - [ - "\\\\)\\\\(", - "{\\\\,\\\\" - ], - [ - "所提出的任何", - "加床或婴儿床" - ], - [ - "丽", - "娟" - ], - [ - "使", - "君" - ], - [ - "朝", - "天" - ], - [ - "co", - "w" - ], - [ - "c", - "ow" - ], - [ - "vi", - "e" - ], - [ - "v", - "ie" - ], - [ - "做的", - "事" - ], - [ - "做", - "的事" - ], - [ - "如下", - "文" - ], - [ - "）", - "**" - ], - [ - "Sn", - "ap" - ], - [ - "S", - "nap" - ], - [ - "这种", - "问题" - ], - [ - "具有", - "较高的" - ], - [ - "spl", - "ice" - ], - [ - "▁Di", - "vine" - ], - [ - "▁Div", - "ine" - ], - [ - "▁cr", - "ises" - ], - [ - "▁cris", - "es" - ], - [ - "人", - "中" - ], - [ - "<%", - "@" - ], - [ - "R", - "abbit" - ], - [ - "▁f", - "avors" - ], - [ - "▁favor", - "s" - ], - [ - "▁fav", - "ors" - ], - [ - "▁str", - "ang" - ], - [ - "pro", - "grams" - ], - [ - "pr", - "ograms" - ], - [ - "program", - "s" - ], - [ - "▁Ge", - "Force" - ], - [ - "▁Ph", - "antom" - ], - [ - "otrans", - "fer" - ], - [ - "o", - "transfer" - ], - [ - "▁intra", - "ocular" - ], - [ - "不", - "爽" - ], - [ - "两", - "部" - ], - [ - "屋", - "子" - ], - [ - "绪", - "论" - ], - [ - "遍", - "地" - 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"or" - ], - [ - "▁Lo", - "r" - ], - [ - "是单", - "选题" - ], - [ - "▁D", - "ust" - ], - [ - "▁Du", - "st" - ], - [ - "EMPL", - "ARY" - ], - [ - "▁fe", - "athers" - ], - [ - "▁feather", - "s" - ], - [ - "à", - "o" - ], - [ - "寄", - "存" - ], - [ - "布", - "料" - ], - [ - "悠", - "然" - ], - [ - "我", - "行" - ], - [ - "河", - "边" - ], - [ - "达", - "拉" - ], - [ - "不对", - "称" - ], - [ - "不", - "对称" - ], - [ - "体积", - "是" - ], - [ - "▁a", - "gr" - ], - [ - "▁ag", - "r" - ], - [ - "▁", - "agr" - ], - [ - "▁ID", - "EA" - ], - [ - "▁IDE", - "A" - ], - [ - "nL", - "iter" - ], - [ - "n", - "Liter" - ], - [ - "▁g", - "ears" - ], - [ - "▁ge", - "ars" - ], - [ - "▁gear", - "s" - ], - [ - "▁H", - "ouses" - ], - [ - "▁House", - "s" - ], - [ - "▁Ho", - "uses" - ], - [ - "▁Hou", - "ses" - ], - [ - "▁trim", - "med" - ], - [ - "▁stand", - "point" - ], - [ - "揭", - "牌" - ], - [ - "fe", - "lt" - ], - [ - "f", - "elt" - ], - [ - "身体", - "素质" - ], - [ - "▁w", - "hip" - ], - [ - "▁wh", - "ip" - ], - [ - "ver", - "ses" - 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], - [ - "▁shipment", - "s" - ], - [ - "问题和选项", - "如下文所示" - ], - [ - "▁Ar", - "ithmetic" - ], - [ - "悲", - "惨" - ], - [ - "找", - "寻" - ], - [ - "素", - "的" - ], - [ - "虚", - "空" - ], - [ - "pe", - "p" - ], - [ - "p", - "ep" - ], - [ - "ta", - "nd" - ], - [ - "tan", - "d" - ], - [ - "t", - "and" - ], - [ - "uc", - "kle" - ], - [ - "uck", - "le" - ], - [ - "Des", - "pite" - ], - [ - "all", - "ocate" - ], - [ - "alloc", - "ate" - ], - [ - "▁optim", - "ally" - ], - [ - "▁optimal", - "ly" - ], - [ - "▁ver", - "ifying" - ], - [ - "▁verify", - "ing" - ], - [ - "史", - "学" - ], - [ - "竹", - "马" - ], - [ - "件事", - "情" - ], - [ - "件", - "事情" - ], - [ - "的热", - "爱" - ], - [ - "的", - "热爱" - ], - [ - "\\'", - "\"," - ], - [ - "\\'\"", - "," - ], - [ - "or", - "na" - ], - [ - "orn", - "a" - ], - [ - "全面", - "推进" - ], - [ - "nW", - "ait" - ], - [ - "n", - "Wait" - ], - [ - "im", - "ilar" - ], - [ - "imi", - "lar" - ], - [ - "nM", - "useum" - ], - [ - "▁disc", - "iples" - ], - [ - "▁discipl", - "es" - ], - 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[ - "▁chrom", - "ium" - ], - [ - "▁", - "chromium" - ], - [ - "经相关部门批准后", - "方可开展经营活动" - ], - [ - "中", - "点" - ], - [ - "乙", - "酸" - ], - [ - "台", - "账" - ], - [ - "在", - "有" - ], - [ - "bs", - "t" - ], - [ - "b", - "st" - ], - [ - "▁т", - "е" - ], - [ - "▁", - "те" - ], - [ - "No", - "me" - ], - [ - "Nom", - "e" - ], - [ - "N", - "ome" - ], - [ - "▁E", - "TF" - ], - [ - "▁ET", - "F" - ], - [ - "▁", - "ETF" - ], - [ - "欢迎", - "所有" - ], - [ - "环境", - "优美" - ], - [ - "稳产", - "农田" - ], - [ - "并给出", - "解析" - ], - [ - "▁Tool", - "kit" - ], - [ - "▁Sup", - "erman" - ], - [ - "▁Super", - "man" - ], - [ - "▁onc", - "ogenic" - ], - [ - "▁re", - "written" - ], - [ - "▁trans", - "istors" - ], - [ - "▁transistor", - "s" - ], - [ - "*", - "$" - ], - [ - "M", - "b" - ], - [ - "▁", - "车" - ], - [ - "上", - "榜" - ], - [ - "武", - "陵" - ], - [ - "连", - "城" - ], - [ - "ary", - "nx" - ], - [ - "▁F", - "uck" - ], - [ - "▁Fu", - "ck" - ], - [ - "▁P", - "ied" - ], - [ - "▁Pi", - "ed" - ], - [ - "▁Pie", - "d" - ], - [ - "▁BU", - "ILD" - ], - [ - "▁", - "BUILD" - ], - [ - "se", - "tName" - ], - [ - "set", - "Name" - ], - [ - "▁d", - "umped" - ], - [ - "▁dump", - "ed" - ], - [ - "▁gl", - "owing" - ], - [ - "▁glo", - "wing" - ], - [ - "▁glow", - "ing" - ], - [ - "▁hum", - "oral" - ], - [ - "▁humor", - "al" - ], - [ - "toHave", - "Been" - ], - [ - "▁com", - "pressive" - ], - [ - "▁comp", - "ressive" - ], - [ - "▁compr", - "essive" - ], - [ - "▁compress", - "ive" - ], - [ - "ä", - "l" - ], - [ - "下", - "有" - ], - [ - "切", - "碎" - ], - [ - "钱", - "财" - ], - [ - "雪", - "梅" - ], - [ - "风", - "起" - ], - [ - "生活", - "和" - ], - [ - "_(", - "\\'" - ], - [ - "_", - "(\\'" - ], - [ - "▁M", - "VC" - ], - [ - "▁MV", - "C" - ], - [ - "Mar", - "ie" - ], - [ - "Ma", - "rie" - ], - [ - "M", - "arie" - ], - [ - "ER", - "ENCE" - ], - [ - "▁Bo", - "hem" - ], - [ - "▁Boh", - "em" - ], - [ - "▁CA", - "USED" - ], - [ - "▁epit", - "ope" - ], - [ - "▁go", - "odies" - ], - [ - "▁good", - "ies" - ], - [ - "▁follic", - "le" - ], - [ - "equ", - "ivalent" - ], - [ - "equiv", - "alent" - ], - [ - "▁C", - "omposition" - ], - [ - "▁Com", - "position" - ], - [ - "▁Comp", - "osition" - ], - [ - "选出你认为正确的答案", - "并给出解析" - ], - [ - "S", - "X" - ], - [ - "乐", - "曲" - ], - [ - "Fe", - "e" - ], - [ - "F", - "ee" - ], - [ - "是", - "负数" - ], - [ - "顺德", - "区" - ], - [ - "iv", - "ar" - ], - [ - "iva", - "r" - ], - [ - "i", - "var" - ], - [ - "其他", - "国家" - ], - [ - "er", - "eal" - ], - [ - "ere", - "al" - ], - [ - "e", - "real" - ], - [ - "engu", - "ins" - ], - [ - "enguin", - "s" - ], - [ - "ra", - "ising" - ], - [ - "rais", - "ing" - ], - [ - "▁course", - "work" - ], - [ - "宝", - "妈" - ], - [ - "应", - "从" - ], - [ - "时", - "限" - ], - [ - "统", - "统" - ], - [ - "黄", - "酮" - ], - [ - "西北", - "部" - ], - [ - "西", - "北部" - ], - [ - "bm", - "od" - ], - [ - "b", - "mod" - ], - [ - "nB", - "al" - ], - [ - "n", - "Bal" - ], - [ - "▁A", - "gr" - ], - [ - "▁Ag", - "r" - ], - [ - "Mac", - "ro" - ], - [ - "Ma", - "cro" - ], - [ - "ag", - "her" - ], - [ - "agh", - "er" - ], - [ - "有限公司", - "与被告" - ], - [ - "▁special", - "ties" - ], - [ - "又", - "无" - ], - [ - "朱", - "元" - ], - [ - "能", - "与" - ], - [ - "锦", - "江" - ], - [ - "的", - "计划" - ], - [ - "个人", - "观点" - ], - [ - "文明", - "城市" - ], - [ - "Order", - "ed" - ], - [ - "Ord", - "ered" - ], - [ - "▁Alber", - "to" - ], - [ - "▁Alb", - "erto" - ], - [ - "▁Albert", - "o" - ], - [ - "▁Default", - "s" - ], - [ - "▁", - "Defaults" - ], - [ - "▁piece", - "wise" - ], - [ - "拨", - "款" - ], - [ - "版", - "块" - ], - [ - "只是", - "想" - ], - [ - "只", - "是想" - ], - [ - "pin", - "ion" - ], - [ - "▁hal", - "ves" - ], - [ - "犯", - "容留他人吸毒罪" - ], - [ - "▁bi", - "ophysical" - ], - [ - "▁bio", - "physical" - ], - [ - "后", - "才" - ], - [ - "国", - "泰" - ], - [ - "则", - "这个" - ], - [ - "OP", - "PO" - ], - [ - "▁s", - "ut" - ], - [ - "▁su", - "t" - ], - [ - "谈话", - "笔录" - ], - [ - "▁r", - "aster" - ], - [ - "▁ra", - "ster" - ], - [ - "▁Gr", - "avity" - ], - [ - "▁ex", - "iting" - ], - [ - "▁exit", - 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"e" - ], - [ - "▁Miche", - "le" - ], - [ - "▁den", - "ying" - ], - [ - "▁deny", - "ing" - ], - [ - "na", - "issance" - ], - [ - "号征收社会抚养费", - "决定书" - ], - [ - "▁multi", - "national" - ], - [ - "▁multin", - "ational" - ], - [ - "▁function", - "alities" - ], - [ - "▁functional", - "ities" - ], - [ - "痛", - "经" - ], - [ - "yc", - "h" - ], - [ - "y", - "ch" - ], - [ - "自贡", - "市" - ], - [ - "▁r", - "ho" - ], - [ - "▁rh", - "o" - ], - [ - "▁", - "rho" - ], - [ - "no", - "vel" - ], - [ - "nov", - "el" - ], - [ - "n", - "ovel" - ], - [ - "Ma", - "king" - ], - [ - "M", - "aking" - ], - [ - "li", - "able" - ], - [ - "lia", - "ble" - ], - [ - "l", - "iable" - ], - [ - "▁inhal", - "ed" - ], - [ - "▁inh", - "aled" - ], - [ - "ne", - "ighbors" - ], - [ - "▁Wild", - "erness" - ], - [ - "▁suppress", - "es" - ], - [ - "▁", - "同" - ], - [ - "剖", - "宫" - ], - [ - "为", - "公司" - ], - [ - "待", - "今后" - ], - [ - "第四", - "次" - ], - [ - "第", - "四次" - ], - [ - "le", - "on" - ], - [ - "l", - "eon" - ], - [ - "▁C", - 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"single_word": false, - "special": true - }, - "106": { - "content": "<|object_ref_start|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "107": { - "content": "<|object_ref_end|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "108": { - "content": "<|box_start|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "109": { - "content": "<|box_end|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "110": { - "content": "<|quad_start|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "111": { - "content": "<|quad_end|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "112": { - "content": "<|vision_start|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "113": { - "content": "<|vision_end|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "114": { - "content": "<|vision_pad|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "115": { - "content": "<|image_pad|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "116": { - "content": "<|video_pad|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "117": { - "content": "", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": false - }, - "118": { - "content": "", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": false - }, - "119": { - "content": "<|fim_prefix|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": false - }, - "120": { - "content": "<|fim_middle|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": false - }, - "121": { - "content": "<|fim_suffix|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": false - }, - "122": { - "content": "<|fim_pad|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": false - }, - "123": { - "content": "<|repo_name|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": false - }, - "124": { - "content": "<|file_sep|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": false - }, - "125": { - "content": "", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": false - }, - "126": { - "content": "", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": false - }, - "127": { - "content": "", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": false - }, - "128": { - "content": "", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": false - }, - "1071": { - "content": "<|sequence|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1072": { - "content": "<|/sequence|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1073": { - "content": "<|identity|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1074": { - "content": "<|identity|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1075": { - "content": "<|tail0|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1076": { - "content": "<|tail1|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1077": { - "content": "<|tail2|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1078": { - "content": "<|tail3|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1079": { - "content": "<|tail4|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1080": { - "content": "<|head0|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1081": { - "content": "<|head1|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1082": { - "content": "<|head2|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1083": { - "content": "<|head3|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1084": { - "content": "<|head4|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1085": { - "content": "<|chunk_id|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1086": { - "content": "<|/chunk_id|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1087": { - "content": "<|last_chunk_id|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1088": { - "content": "<|/last_chunk_id|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - } - }, - "additional_special_tokens": [ - "<|im_start|>", - "<|im_end|>", - "<|object_ref_start|>", - "<|object_ref_end|>", - "<|box_start|>", - "<|box_end|>", - "<|quad_start|>", - "<|quad_end|>", - "<|vision_start|>", - "<|vision_end|>", - "<|vision_pad|>", - "<|image_pad|>", - "<|video_pad|>", - "<|sequence|>", - "<|/sequence|>", - "<|identity|>", - "<|/identity|>", - "<|tail0|>", - "<|tail1|>", - "<|tail2|>", - "<|tail3|>", - "<|tail4|>", - "<|head0|>", - "<|head1|>", - "<|head2|>", - "<|head3|>", - "<|head4|>", - "<|chunk_id|>", - "<|/chunk_id|>", - "<|last_chunk_id|>", - "<|/last_chunk_id|>" - ], - "bos_token": null, - "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within XML tags:\\n\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n\\n\\nFor each function call, return a json object with function name and arguments within XML tags:\\n\\n{\\\"name\\\": , \\\"arguments\\\": }\\n<|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('') and message.content.endswith('')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '' in content %}\n {%- set reasoning_content = content.split('')[0].rstrip('\\n').split('')[-1].lstrip('\\n') %}\n {%- set content = content.split('')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n\\n' + reasoning_content.strip('\\n') + '\\n\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n\\n' }}\n {{- content }}\n {{- '\\n' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n\\n' }}\n{%- endif %}", - "clean_up_tokenization_spaces": false, - "eos_token": "<|im_end|>", - "model_max_length": 32768, - "pad_token": "<|endoftext|>", - "padding_side": "right", - "sp_model_kwargs": {}, - "spaces_between_special_tokens": false, - "tokenizer_class": "LlamaTokenizerFast", - "unk_token": "", - "use_default_system_prompt": false -} \ No newline at end of file