Upload 17 files

.gitattributes

@@ -32,3 +32,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Data/moses.txt filter=lfs diff=lfs merge=lfs -text
+Trained[[:space:]]Models/gpt_model_moses filter=lfs diff=lfs merge=lfs -text
+Trained[[:space:]]Models/gpt_model_state_10m filter=lfs diff=lfs merge=lfs -text
+Trained[[:space:]]Models/gpt_model_state_32m filter=lfs diff=lfs merge=lfs -text
+Trained[[:space:]]Models/gpt_model_state_50m filter=lfs diff=lfs merge=lfs -text

Data/moses.txt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:62d9d0937f1b09aeff6ce95427fc1a4bce36b2f5f67588846fdacb989d80232d
+size 60000671

Data/pubchem cleaner.py

@@ -0,0 +1,8 @@
+data = []
+with gzip.open(curr_dir+'/CID-SMILES.gz', 'r') as f:
+  for line in f:
+    data.append(line.split()[1])
+
+with open(curr_dir+'/smiles_pubchem112m.txt', 'w')as f:
+    for d in data:
+        f.write(d+'\n')

Data/pubchem smiles.txt

@@ -0,0 +1 @@
+https://ftp.ncbi.nlm.nih.gov/pubchem/Compound/Extras/

GPT Model/model.py

@@ -0,0 +1,310 @@
+"""
+Full definition of a GPT Language Model, all of it in this single file.
+
+References:
+1) the official GPT-2 TensorFlow implementation released by OpenAI:
+https://github.com/openai/gpt-2/blob/master/src/model.py
+2) huggingface/transformers PyTorch implementation:
+https://github.com/huggingface/transformers/blob/main/src/transformers/models/gpt2/modeling_gpt2.py
+"""
+
+import math
+
+import torch
+import torch.nn as nn
+from torch.nn import functional as F
+
+from mingpt.utils import CfgNode as CN
+
+# -----------------------------------------------------------------------------
+
+class NewGELU(nn.Module):
+    """
+    Implementation of the GELU activation function currently in Google BERT repo (identical to OpenAI GPT).
+    Reference: Gaussian Error Linear Units (GELU) paper: https://arxiv.org/abs/1606.08415
+    """
+    def forward(self, x):
+        return 0.5 * x * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (x + 0.044715 * torch.pow(x, 3.0))))
+
+class CausalSelfAttention(nn.Module):
+    """
+    A vanilla multi-head masked self-attention layer with a projection at the end.
+    It is possible to use torch.nn.MultiheadAttention here but I am including an
+    explicit implementation here to show that there is nothing too scary here.
+    """
+
+    def __init__(self, config):
+        super().__init__()
+        assert config.n_embd % config.n_head == 0
+        # key, query, value projections for all heads, but in a batch
+        self.c_attn = nn.Linear(config.n_embd, 3 * config.n_embd)
+        # output projection
+        self.c_proj = nn.Linear(config.n_embd, config.n_embd)
+        # regularization
+        self.attn_dropout = nn.Dropout(config.attn_pdrop)
+        self.resid_dropout = nn.Dropout(config.resid_pdrop)
+        # causal mask to ensure that attention is only applied to the left in the input sequence
+        self.register_buffer("bias", torch.tril(torch.ones(config.block_size, config.block_size))
+                                     .view(1, 1, config.block_size, config.block_size))
+        self.n_head = config.n_head
+        self.n_embd = config.n_embd
+
+    def forward(self, x):
+        B, T, C = x.size() # batch size, sequence length, embedding dimensionality (n_embd)
+
+        # calculate query, key, values for all heads in batch and move head forward to be the batch dim
+        q, k ,v  = self.c_attn(x).split(self.n_embd, dim=2)
+        k = k.view(B, T, self.n_head, C // self.n_head).transpose(1, 2) # (B, nh, T, hs)
+        q = q.view(B, T, self.n_head, C // self.n_head).transpose(1, 2) # (B, nh, T, hs)
+        v = v.view(B, T, self.n_head, C // self.n_head).transpose(1, 2) # (B, nh, T, hs)
+
+        # causal self-attention; Self-attend: (B, nh, T, hs) x (B, nh, hs, T) -> (B, nh, T, T)
+        att = (q @ k.transpose(-2, -1)) * (1.0 / math.sqrt(k.size(-1)))
+        att = att.masked_fill(self.bias[:,:,:T,:T] == 0, float('-inf'))
+        att = F.softmax(att, dim=-1)
+        att = self.attn_dropout(att)
+        y = att @ v # (B, nh, T, T) x (B, nh, T, hs) -> (B, nh, T, hs)
+        y = y.transpose(1, 2).contiguous().view(B, T, C) # re-assemble all head outputs side by side
+
+        # output projection
+        y = self.resid_dropout(self.c_proj(y))
+        return y
+
+class Block(nn.Module):
+    """ an unassuming Transformer block """
+
+    def __init__(self, config):
+        super().__init__()
+        self.ln_1 = nn.LayerNorm(config.n_embd)
+        self.attn = CausalSelfAttention(config)
+        self.ln_2 = nn.LayerNorm(config.n_embd)
+        self.mlp = nn.ModuleDict(dict(
+            c_fc    = nn.Linear(config.n_embd, 4 * config.n_embd),
+            c_proj  = nn.Linear(4 * config.n_embd, config.n_embd),
+            act     = NewGELU(),
+            dropout = nn.Dropout(config.resid_pdrop),
+        ))
+        m = self.mlp
+        self.mlpf = lambda x: m.dropout(m.c_proj(m.act(m.c_fc(x)))) # MLP forward
+
+    def forward(self, x):
+        x = x + self.attn(self.ln_1(x))
+        x = x + self.mlpf(self.ln_2(x))
+        return x
+
+class GPT(nn.Module):
+    """ GPT Language Model """
+
+    @staticmethod
+    def get_default_config():
+        C = CN()
+        # either model_type or (n_layer, n_head, n_embd) must be given in the config
+        C.model_type = 'gpt'
+        C.n_layer = None
+        C.n_head = None
+        C.n_embd =  None
+        # these options must be filled in externally
+        C.vocab_size = None
+        C.block_size = None
+        # dropout hyperparameters
+        C.embd_pdrop = 0.1
+        C.resid_pdrop = 0.1
+        C.attn_pdrop = 0.1
+        return C
+
+    def __init__(self, config):
+        super().__init__()
+        assert config.vocab_size is not None
+        assert config.block_size is not None
+        self.block_size = config.block_size
+
+        type_given = config.model_type is not None
+        params_given = all([config.n_layer is not None, config.n_head is not None, config.n_embd is not None])
+        assert type_given ^ params_given # exactly one of these (XOR)
+        if type_given:
+            # translate from model_type to detailed configuration
+            config.merge_from_dict({
+                # names follow the huggingface naming conventions
+                # GPT-1
+                'openai-gpt':   dict(n_layer=12, n_head=12, n_embd=768),  # 117M params
+                # GPT-2 configs
+                'gpt2':         dict(n_layer=12, n_head=12, n_embd=768),  # 124M params
+                'gpt2-medium':  dict(n_layer=24, n_head=16, n_embd=1024), # 350M params
+                'gpt2-large':   dict(n_layer=36, n_head=20, n_embd=1280), # 774M params
+                'gpt2-xl':      dict(n_layer=48, n_head=25, n_embd=1600), # 1558M params
+                # Gophers
+                'gopher-44m':   dict(n_layer=8, n_head=16, n_embd=512),
+                # (there are a number more...)
+                # I made these tiny models up
+                'gpt-mini':     dict(n_layer=6, n_head=6, n_embd=192),
+                'gpt-micro':    dict(n_layer=4, n_head=4, n_embd=128),
+                'gpt-nano':     dict(n_layer=3, n_head=3, n_embd=48),
+            }[config.model_type])
+
+        self.transformer = nn.ModuleDict(dict(
+            wte = nn.Embedding(config.vocab_size, config.n_embd),
+            wpe = nn.Embedding(config.block_size, config.n_embd),
+            drop = nn.Dropout(config.embd_pdrop),
+            h = nn.ModuleList([Block(config) for _ in range(config.n_layer)]),
+            ln_f = nn.LayerNorm(config.n_embd),
+        ))
+        self.lm_head = nn.Linear(config.n_embd, config.vocab_size, bias=False)
+
+        # init all weights, and apply a special scaled init to the residual projections, per GPT-2 paper
+        self.apply(self._init_weights)
+        for pn, p in self.named_parameters():
+            if pn.endswith('c_proj.weight'):
+                torch.nn.init.normal_(p, mean=0.0, std=0.02/math.sqrt(2 * config.n_layer))
+
+        # report number of parameters (note we don't count the decoder parameters in lm_head)
+        n_params = sum(p.numel() for p in self.transformer.parameters())
+        print("number of parameters: %.2fM" % (n_params/1e6,))
+
+    def _init_weights(self, module):
+        if isinstance(module, nn.Linear):
+            torch.nn.init.normal_(module.weight, mean=0.0, std=0.02)
+            if module.bias is not None:
+                torch.nn.init.zeros_(module.bias)
+        elif isinstance(module, nn.Embedding):
+            torch.nn.init.normal_(module.weight, mean=0.0, std=0.02)
+        elif isinstance(module, nn.LayerNorm):
+            torch.nn.init.zeros_(module.bias)
+            torch.nn.init.ones_(module.weight)
+
+    @classmethod
+    def from_pretrained(cls, model_type):
+        """
+        Initialize a pretrained GPT model by copying over the weights
+        from a huggingface/transformers checkpoint.
+        """
+        assert model_type in {'gpt2', 'gpt2-medium', 'gpt2-large', 'gpt2-xl'}
+        from transformers import GPT2LMHeadModel
+
+        # create a from-scratch initialized minGPT model
+        config = cls.get_default_config()
+        config.model_type = model_type
+        config.vocab_size = 50257 # openai's model vocabulary
+        config.block_size = 1024  # openai's model block_size
+        model = GPT(config)
+        sd = model.state_dict()
+
+        # init a huggingface/transformers model
+        model_hf = GPT2LMHeadModel.from_pretrained(model_type)
+        sd_hf = model_hf.state_dict()
+
+        # copy while ensuring all of the parameters are aligned and match in names and shapes
+        keys = [k for k in sd_hf if not k.endswith('attn.masked_bias')] # ignore these
+        transposed = ['attn.c_attn.weight', 'attn.c_proj.weight', 'mlp.c_fc.weight', 'mlp.c_proj.weight']
+        # basically the openai checkpoints use a "Conv1D" module, but we only want to use a vanilla nn.Linear.
+        # this means that we have to transpose these weights when we import them
+        assert len(keys) == len(sd)
+        for k in keys:
+            if any(k.endswith(w) for w in transposed):
+                # special treatment for the Conv1D weights we need to transpose
+                assert sd_hf[k].shape[::-1] == sd[k].shape
+                with torch.no_grad():
+                    sd[k].copy_(sd_hf[k].t())
+            else:
+                # vanilla copy over the other parameters
+                assert sd_hf[k].shape == sd[k].shape
+                with torch.no_grad():
+                    sd[k].copy_(sd_hf[k])
+
+        return model
+
+    def configure_optimizers(self, train_config):
+        """
+        This long function is unfortunately doing something very simple and is being very defensive:
+        We are separating out all parameters of the model into two buckets: those that will experience
+        weight decay for regularization and those that won't (biases, and layernorm/embedding weights).
+        We are then returning the PyTorch optimizer object.
+        """
+
+        # separate out all parameters to those that will and won't experience regularizing weight decay
+        decay = set()
+        no_decay = set()
+        whitelist_weight_modules = (torch.nn.Linear, )
+        blacklist_weight_modules = (torch.nn.LayerNorm, torch.nn.Embedding)
+        for mn, m in self.named_modules():
+            for pn, p in m.named_parameters():
+                fpn = '%s.%s' % (mn, pn) if mn else pn # full param name
+                # random note: because named_modules and named_parameters are recursive
+                # we will see the same tensors p many many times. but doing it this way
+                # allows us to know which parent module any tensor p belongs to...
+                if pn.endswith('bias'):
+                    # all biases will not be decayed
+                    no_decay.add(fpn)
+                elif pn.endswith('weight') and isinstance(m, whitelist_weight_modules):
+                    # weights of whitelist modules will be weight decayed
+                    decay.add(fpn)
+                elif pn.endswith('weight') and isinstance(m, blacklist_weight_modules):
+                    # weights of blacklist modules will NOT be weight decayed
+                    no_decay.add(fpn)
+
+        # validate that we considered every parameter
+        param_dict = {pn: p for pn, p in self.named_parameters()}
+        inter_params = decay & no_decay
+        union_params = decay | no_decay
+        assert len(inter_params) == 0, "parameters %s made it into both decay/no_decay sets!" % (str(inter_params), )
+        assert len(param_dict.keys() - union_params) == 0, "parameters %s were not separated into either decay/no_decay set!" \
+                                                    % (str(param_dict.keys() - union_params), )
+
+        # create the pytorch optimizer object
+        optim_groups = [
+            {"params": [param_dict[pn] for pn in sorted(list(decay))], "weight_decay": train_config.weight_decay},
+            {"params": [param_dict[pn] for pn in sorted(list(no_decay))], "weight_decay": 0.0},
+        ]
+        optimizer = torch.optim.AdamW(optim_groups, lr=train_config.learning_rate, betas=train_config.betas)
+        return optimizer
+
+    def forward(self, idx, targets=None):
+        device = idx.device
+        b, t = idx.size()
+        assert t <= self.block_size, f"Cannot forward sequence of length {t}, block size is only {self.block_size}"
+        pos = torch.arange(0, t, dtype=torch.long, device=device).unsqueeze(0) # shape (1, t)
+
+        # forward the GPT model itself
+        tok_emb = self.transformer.wte(idx) # token embeddings of shape (b, t, n_embd)
+        pos_emb = self.transformer.wpe(pos) # position embeddings of shape (1, t, n_embd)
+        x = self.transformer.drop(tok_emb + pos_emb)
+        for block in self.transformer.h:
+            x = block(x)
+        x = self.transformer.ln_f(x)
+        logits = self.lm_head(x)
+
+        # if we are given some desired targets also calculate the loss
+        loss = None
+        if targets is not None:
+            loss = F.cross_entropy(logits.view(-1, logits.size(-1)), targets.view(-1), ignore_index=-1)
+
+        return logits, loss
+
+    @torch.no_grad()
+    def generate(self, idx, max_new_tokens, temperature=1.0, do_sample=False, top_k=None):
+        """
+        Take a conditioning sequence of indices idx (LongTensor of shape (b,t)) and complete
+        the sequence max_new_tokens times, feeding the predictions back into the model each time.
+        Most likely you'll want to make sure to be in model.eval() mode of operation for this.
+        """
+        for _ in range(max_new_tokens):
+            # if the sequence context is growing too long we must crop it at block_size
+            idx_cond = idx if idx.size(1) <= self.block_size else idx[:, -self.block_size:]
+            # forward the model to get the logits for the index in the sequence
+            logits, _ = self(idx_cond)
+            # pluck the logits at the final step and scale by desired temperature
+            logits = logits[:, -1, :] / temperature
+            # optionally crop the logits to only the top k options
+            if top_k is not None:
+                v, _ = torch.topk(logits, top_k)
+                logits[logits < v[:, [-1]]] = -float('Inf')
+            # apply softmax to convert logits to (normalized) probabilities
+            probs = F.softmax(logits, dim=-1)
+            # either sample from the distribution or take the most likely element
+            if do_sample:
+                idx_next = torch.multinomial(probs, num_samples=1)
+            else:
+                _, idx_next = torch.topk(probs, k=1, dim=-1)
+            # append sampled index to the running sequence and continue
+            idx = torch.cat((idx, idx_next), dim=1)
+
+        return idx

GPT Model/trainer.py

@@ -0,0 +1,109 @@
+"""
+Simple training loop; Boilerplate that could apply to any arbitrary neural network,
+so nothing in this file really has anything to do with GPT specifically.
+"""
+
+import time
+from collections import defaultdict
+
+import torch
+from torch.utils.data.dataloader import DataLoader
+from mingpt.utils import CfgNode as CN
+
+class Trainer:
+
+    @staticmethod
+    def get_default_config():
+        C = CN()
+        # device to train on
+        C.device = 'auto'
+        # dataloder parameters
+        C.num_workers = 4
+        # optimizer parameters
+        C.max_iters = None
+        C.batch_size = 64
+        C.learning_rate = 3e-4
+        C.betas = (0.9, 0.95)
+        C.weight_decay = 0.1 # only applied on matmul weights
+        C.grad_norm_clip = 1.0
+        return C
+
+    def __init__(self, config, model, train_dataset):
+        self.config = config
+        self.model = model
+        self.optimizer = None
+        self.train_dataset = train_dataset
+        self.callbacks = defaultdict(list)
+
+        # determine the device we'll train on
+        if config.device == 'auto':
+            self.device = 'cuda' if torch.cuda.is_available() else 'cpu'
+        else:
+            self.device = config.device
+        self.model = self.model.to(self.device)
+        print("running on device", self.device)
+
+        # variables that will be assigned to trainer class later for logging and etc
+        self.iter_num = 0
+        self.iter_time = 0.0
+        self.iter_dt = 0.0
+
+    def add_callback(self, onevent: str, callback):
+        self.callbacks[onevent].append(callback)
+
+    def set_callback(self, onevent: str, callback):
+        self.callbacks[onevent] = [callback]
+
+    def trigger_callbacks(self, onevent: str):
+        for callback in self.callbacks.get(onevent, []):
+            callback(self)
+
+    def run(self):
+        model, config = self.model, self.config
+
+        # setup the optimizer
+        self.optimizer = model.configure_optimizers(config)
+
+        # setup the dataloader
+        train_loader = DataLoader(
+            self.train_dataset,
+            sampler=torch.utils.data.RandomSampler(self.train_dataset, replacement=True, num_samples=int(1e10)),
+            shuffle=False,
+            pin_memory=True,
+            batch_size=config.batch_size,
+            num_workers=config.num_workers,
+        )
+
+        model.train()
+        self.iter_num = 0
+        self.iter_time = time.time()
+        data_iter = iter(train_loader)
+        while True:
+
+            # fetch the next batch (x, y) and re-init iterator if needed
+            try:
+                batch = next(data_iter)
+            except StopIteration:
+                data_iter = iter(train_loader)
+                batch = next(data_iter)
+            batch = [t.to(self.device) for t in batch]
+            x, y = batch
+
+            # forward the model
+            logits, self.loss = model(x, y)
+
+            # backprop and update the parameters
+            model.zero_grad(set_to_none=True)
+            self.loss.backward()
+            torch.nn.utils.clip_grad_norm_(model.parameters(), config.grad_norm_clip)
+            self.optimizer.step()
+
+            self.trigger_callbacks('on_batch_end')
+            self.iter_num += 1
+            tnow = time.time()
+            self.iter_dt = tnow - self.iter_time
+            self.iter_time = tnow
+
+            # termination conditions
+            if config.max_iters is not None and self.iter_num >= config.max_iters:
+                break

GPT Model/utils.py

@@ -0,0 +1,103 @@
+
+import os
+import sys
+import json
+import random
+from ast import literal_eval
+
+import numpy as np
+import torch
+
+# -----------------------------------------------------------------------------
+
+def set_seed(seed):
+    random.seed(seed)
+    np.random.seed(seed)
+    torch.manual_seed(seed)
+    torch.cuda.manual_seed_all(seed)
+
+def setup_logging(config):
+    """ monotonous bookkeeping """
+    work_dir = config.system.work_dir
+    # create the work directory if it doesn't already exist
+    os.makedirs(work_dir, exist_ok=True)
+    # log the args (if any)
+    with open(os.path.join(work_dir, 'args.txt'), 'w') as f:
+        f.write(' '.join(sys.argv))
+    # log the config itself
+    with open(os.path.join(work_dir, 'config.json'), 'w') as f:
+        f.write(json.dumps(config.to_dict(), indent=4))
+
+class CfgNode:
+    """ a lightweight configuration class inspired by yacs """
+    # TODO: convert to subclass from a dict like in yacs?
+    # TODO: implement freezing to prevent shooting of own foot
+    # TODO: additional existence/override checks when reading/writing params?
+
+    def __init__(self, **kwargs):
+        self.__dict__.update(kwargs)
+
+    def __str__(self):
+        return self._str_helper(0)
+
+    def _str_helper(self, indent):
+        """ need to have a helper to support nested indentation for pretty printing """
+        parts = []
+        for k, v in self.__dict__.items():
+            if isinstance(v, CfgNode):
+                parts.append("%s:\n" % k)
+                parts.append(v._str_helper(indent + 1))
+            else:
+                parts.append("%s: %s\n" % (k, v))
+        parts = [' ' * (indent * 4) + p for p in parts]
+        return "".join(parts)
+
+    def to_dict(self):
+        """ return a dict representation of the config """
+        return { k: v.to_dict() if isinstance(v, CfgNode) else v for k, v in self.__dict__.items() }
+
+    def merge_from_dict(self, d):
+        self.__dict__.update(d)
+
+    def merge_from_args(self, args):
+        """
+        update the configuration from a list of strings that is expected
+        to come from the command line, i.e. sys.argv[1:].
+
+        The arguments are expected to be in the form of `--arg=value`, and
+        the arg can use . to denote nested sub-attributes. Example:
+
+        --model.n_layer=10 --trainer.batch_size=32
+        """
+        for arg in args:
+
+            keyval = arg.split('=')
+            assert len(keyval) == 2, "expecting each override arg to be of form --arg=value, got %s" % arg
+            key, val = keyval # unpack
+
+            # first translate val into a python object
+            try:
+                val = literal_eval(val)
+                """
+                need some explanation here.
+                - if val is simply a string, literal_eval will throw a ValueError
+                - if val represents a thing (like an 3, 3.14, [1,2,3], False, None, etc.) it will get created
+                """
+            except ValueError:
+                pass
+
+            # find the appropriate object to insert the attribute into
+            assert key[:2] == '--'
+            key = key[2:] # strip the '--'
+            keys = key.split('.')
+            obj = self
+            for k in keys[:-1]:
+                obj = getattr(obj, k)
+            leaf_key = keys[-1]
+
+            # ensure that this attribute exists
+            assert hasattr(obj, leaf_key), f"{key} is not an attribute that exists in the config"
+
+            # overwrite the attribute
+            print("command line overwriting config attribute %s with %s" % (key, val))
+            setattr(obj, leaf_key, val)

Outputs/gpt_without_fine_tuning_32m.txt

@@ -0,0 +1,915 @@
+CC(C1=NC(=NO1)C2(CCC2)N)NS(=O)(=O)CC3=CC=CC=C3
+CCN(CC1=CC2=C(C=C1)OCCO2)C3=NC(=NO3)CC(C)NC
+CC(CC1=NOC(=N1)CC2=CC3=C(CCCC3)C=C2)NC.Cl
+CC(C)(C)C(=O)NCCC1=NOC(=N1)C2=CC(=O)NC3=C2C=C(C=C3)Cl
+CC1=CC=C(O1)C(=O)NC2=C(C=C(C=C2)C3=NC(=NO3)CC(C)NC)OC.Cl
+CN(CC1=NOC(=N1)CCC2CCOCC2)C3=CC=CC4=C3NCC4
+CC(CC1=NOC(=N1)CCC2=CC(=CC=C2)OC)NC.Cl
+CC(CC1=NOC(=N1)CSC2=C(C=C(C=C2)Br)Cl)NC.Cl
+CC(CC1=NOC(=N1)C2CCCN(C2)C(=O)C3=CC(=CC=C3)Br)NC.Cl
+CC(C)NC(=O)N1CCC(CC1)C2=NC(=NO2)CC(C)NC.Cl
+C1CC(C1)(C2=NOC(=N2)C3CCN(CC3)CC(F)(F)F)NCC(=O)OC
+C1CN(CCN1CC2=CSC=C2)CC3=CC=C(C=C3)C(=O)NCC4=CC=CC=C4
+CC1=C(C=C(O1)C2=NC=C(O2)CC3=NOC(=N3)CC(C)NC)[N+](=O)[O-]
+C1CC(C1)(C2=NOC(=N2)CNS(=O)(=O)C3=CC=CC=C3Cl)NC
+CC(C)S(=O)(=O)C1=C(C=C(C=C1)C2=NC(=NO2)CC(C)NC)[N+](=O)[O-]
+CC1=C(C(=NO1)C)CC2=NC(=NO2)C3(CCC3)NC
+CC1=CC(=C(C=C1)C(=O)NCCC2=NC(=NO2)CC(C)NC)OC
+C1CC(C1)(C2=NOC(=N2)CCOC(F)F)NCC(=O)OC3=CC=C(C=C3)F
+CC(CC1=NOC(=N1)CN2C=CN(N=N2)CC3(CCC3)NC(=O)C)NC.Cl
+COC1=CC(=CC(=C1)C2=NOC(=N2)CCNC(=O)C3=CC=CS3)OC
+C1CC(C1)(C2=NOC(=N2)C3=CC(=CC4=C3OCCOCCO4)OCC(F)(F)F)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCOC3=CC=C(C=C3)F)NC
+CN(C1CCCCC1)C2=NC=CN2CC3=NC(=NO3)CC(C)NC.Cl
+CC(C1=NOC(=N1)C2=CC=NC=C2C3=NOC(=N3)CC4=C(C=CC(=C4)Cl)OC)NC.Cl
+CC(CC1=NOC(=N1)C2=CC(=C(C=C2)OC)S(=O)(=O)N3CCCCC3)NC
+C1CC(C1)(C2=NOC(=N2)CC3=CC(=CC=C3)OC(F)F)NC.Cl
+CC(CC1=NOC(=N1)C2=CC=C(S2)C3=CC=C(C=C3)F)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CC3=C(C=CC(=C3)[N+](=O)[O-])OCCNC(=O)C4=CC=CC=C4)NC.Cl
+C1CC(C1)(C2=NOC(=N2)C3=CC=C(C=C3)SC(F)(F)F)NC.Cl
+CC(C)CC(C1=NOC(=N1)C2CCN(CC2)C(=O)C3=CC(=CC=C3)Cl)NC.Cl
+CCN1CC(CC1=O)COC2=CC=CC=C2C3=NC(=NO3)CC(C)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCC(=O)C3=CC=C(C=C3)OC(F)F)NC.Cl
+CC(C1=NOC(=N1)C2=CC(=CC=C2)OC)NC(=O)C3CCCC3.Cl
+CC(CC1=NOC(=N1)CC2=CC=C(O2)C3=CC=CC=C3F)NC.Cl
+COC1=C(C=C(C=C1)OC)CC(=O)N2CCC(CC2)C3=NC(=NO3)CC(C)NC
+CC(CC1=NOC(=N1)C2=CC(=CC=C2)OCCOC3=CC=CC=C3)NC
+CC(C)C1=NOC(=N1)CCC2=NC(=NO2)C3(CCC3)NC.Cl
+CC(C)NC(=O)NCC1=CC=CC=C1C2=NC(=NO2)CC(C)NC.Cl
+CC(CC1=NOC(=N1)C2=CC(=C(C=C2)F)S(=O)(=O)N3CCCC3)NC
+CC(CC1=NOC(=N1)CSCC2=NC=CS2)NC.Cl
+CC(C1=NOC(=N1)C2CCN(CC2)C3=CC=CC=C3OC(F)F)NC
+CC1=C(C=NN1C2=CC=CC=C2)C3=NC(=NO3)CC(C)NC.Cl
+CC1=CC=C(C=C1)C2=CC=C(O2)C(=O)NCCC3=NC(=NO3)CC(C)NC.Cl
+CCC(CC)N1C2=C(C=C(C=N2)C3=NC(=NO3)CC(C)NC)CC(C1=O)OC.Cl
+CC(CC1=NOC(=N1)C2=C(SC=C2)C(F)(F)F)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCNC(=O)CNC(=O)C3=CC=CS3)NCC4=CC=CC=C4.Cl
+C1CC(C1)(C2=NOC(=N2)CCNS(=O)(=O)C3=CC=CC=C3C(F)F)NC
+C1CC(C1)(C2=NOC(=N2)C3=NN(C(=O)C4=CC=CC=C43)CC(F)(F)F)NCC4CCNCC4
+CC(CC1=NOC(=N1)C2CC(=O)N(C2)CC3CCCCCC3)NC.Cl
+CC(C)OC(=C)C1=NC(=NO1)C2(CCC2)NC.Cl
+COC1=C(C=C(C(=C1)Br)CN2CC(CC2=O)CC3=NC(=NO3)CC(C)NC)OC.Cl
+CC(CC1=NOC(=N1)C2=CC(=C(C=C2)NC(=O)CCOC)OC(F)F)NC.Cl
+CC(CC1=NOC(=N1)CN2C(=O)C3(CCC3)CC2)NC
+CC(C)NS(=O)(=O)C1=CC=CC(=C1)C2=NC(=NO2)CC(C)NC.Cl
+CC(=O)NC1=CC=C(C=C1)C2=NOC(=N2)CCC3=NC(=NO3)CC(C)NC
+C1CC(C1)(C2=NOC(=N2)CCSCC3C(=O)NCC3)NC.Cl
+CC1=C(C=CC(=C1)C2=NOC(=N2)CC3=NC(=NO3)CC(C)NC)OC.Cl
+C1CCC(CC1)NS(=O)(=O)C2=CC=C(C=C2)CCC3=NC(=NO3)CC(C)NC
+CC1=CC=C(S1)CC(=O)NC(CC(=O)NC2=CC(=CC=C2)F)C3=NC(=NO3)CC(C)NC.Cl
+CC(CC1=NOC(=N1)CSCC2=CC=CC=C2)NC
+CCC(CC1=NOC(=N1)C2=CC=C(S2)NC(=O)CC(C)OC)NC
+CC(C)C(C1=NOC(=N1)CC(=O)NC2=CC=CC=C2)NC.Cl
+CC(C)(C1=NOC(=N1)CCC(=O)NC2=CC=CC(=C2)C(=O)NC(C)C)NC
+CC(C)CC(=O)NCC1=NC(=NO1)CC(C)NC
+CC(C)C(C1=NOC(=N1)C(CCOCC2=CC=CC=C2)NC)NC(=O)NC3=CC=CC=C3
+CC1=C(C=C(C=C1)N2CC(CC2=O)C3=NC(=NO3)CC(C)NC)Br
+CC(CC1=NOC(=N1)C2CCN(CC2)C(=O)CC3=CC=CC=C3Cl)NC
+C1CCC(CC1)NS(=O)(=O)C2=CC=CC(=C2)CC3=NC(=NO3)CC(C)NC.Cl
+CC1=CC(=NN1CC2=CC=CC=C2)C3=NC(=NO3)CC(C)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCC(=O)CC3=CC=CC=C3)NC
+C1CC(C1)(C2=NOC(=N2)CC3=C(C=C(C=C3)Br)F)NC.Cl
+CC(C)(CC1=NOC(=N1)C2=CC(=NN2)C3=CC=C(C=C3)Br)NC.Cl
+CCOC1=CC=C(C=C1)C2=NC(=CS2)CCC3=NC(=NO3)CC(C)NC
+C1CC(C1)(C2=NOC(=N2)CCOC3=CC=CC=C3F)NC
+CC(C1=NOC(=N1)CN2CCOCC2C3=CC(=CC=C3)Br)NC.Cl
+CC(C)C1=NOC(=N1)COC2=CC=C(C=C2)C3=NC(=NO3)CC(C)NC.Cl
+CC1=C(C(=NN1CC(C)C)CCC2=NC(=NO2)C3(CCC3)NC)C(=O)C.Cl
+CC(C)S(=O)(=O)C1=CC=C(C=C1)C2=NC(=NO2)CC(C)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCC3=CC=C(C=C3)C(F)(F)F)NC
+CC(C1CCCN(C1)CC2=CC=CC=C2Cl)NC
+CCC(CC)CCC(=O)NC1=CC(=C(C=C1)C2=NC(=NO2)CC(C)NC)F
+CC(CC1=NOC(=N1)C2CCN(CC2)C3=CC(=CC=C3)Br)NC
+C1CC(C1)(C2=NOC(=N2)CCC3=CC=C(S3)C(F)(F)F)NC
+C1CC(C1)(C2=NOC(=N2)CCNC(=O)C3=C(C=CC(=C3)Cl)F)NC.Cl
+CC(C1=NOC(=N1)C2=CC3=C(C=C2)OCCO3)NC.Cl
+CNS(=O)(=O)CC1=CC=C(C=C1)C2=NOC(=N2)CSCC(C)NC.Cl
+CC(C)C1=NOC(=N1)CCC2=NC(=NO2)C(C)NC
+CN(CCC1=NOC(=N1)C2=CC(=C(C=C2)OC)OC)CC3=CC=CC=C3F
+CC(CC1=NOC(=N1)CCC2=NC(=NO2)C3=CC=CC=C3OC)NC
+CC(CC1=NOC(=N1)C2=CC=C(S2)C3=NC4=CC=CC=C4O3)NC
+CC(C)(C1=CC=CC=C1Cl)C2=NC(=NO2)CC(C)NC
+CC(C)C1=CC=CC=C1OCC2=NC(=NO2)C3(CCC3)NC
+CCC(CC1=NOC(=N1)C2CCN(CC2)C3=CN=C(C=C3)Cl)NC.Cl
+COC1=C(C=C(C=C1)CC2=NC(=NO2)CC(C)NC)OCC3=CC=CC=C3
+CC(C1=NOC(=N1)COC2=CC=CC(=C2)C3=CC=C(C=C3)Cl)NC.Cl
+CC(C)(C)C1=NOC(=N1)CCC2=NOC(=N2)C3=CN=C(S3)CC4=CC=CC=C4
+C1CC(C1)(C2=NOC(=N2)CSCC(=O)C3=CC=C(C=C3)Cl)NC
+C1CC(COC1)CCC2=NOC(=N2)CCC3=NC(=NO3)CC(C)NCC4=CC=CO4
+CC1CCCC(CC1)CCCC2=NOC(=N2)CCC3=NC(=NO3)CC(C)NC
+CC(CC1=NOC(=N1)CCNC(=O)CC(C)(C)C2=CC=CC=C2)NC
+C1CC(C1)(C2=NOC(=N2)C3=NOC(=C3)CC4=CC(=CC=C4)Cl)NCC(=O)OCCOC
+CC(=O)N(CC1=NOC(=N1)C2=CC(=CS2)Cl)CC3=CC=CC4=C3NCC4
+CC1=NC(=NN1CC2=CC=CC=C2Br)C3=NC(=NO3)CC(C)NC.Cl
+CC(CC1=NOC(=N1)CCNS(=O)(=O)C2=C(C=CC=C2F)F)NC
+CN(CC1=NOC(=N1)C2=CC=CC=N2)CC3=NC(=NO3)CC(C)NC.Cl
+COC1=C(C=CC(=C1)CC2=NOC(=N2)C3=CC=CC=C3OCC4=CC=CC=C4)NC.Cl
+CC1=CC(=NO1)CSC2=CC=CC=C2C3=NC(=NO3)CC(C)NC
+CC1=C(C=C(C=C1)C2=NOC(=N2)CCC3=NOC(=N3)C(C)NC)OC.Cl
+CC(CC1=NOC(=N1)CCC2=C(SC=C2)Cl)NC.Cl
+CCC(C1=NOC(=N1)C2CC(C2)C3=CC=CC=C3)NC
+CC(C)NC(=O)CC1=CC=C(C=C1)C2=NC(=NO2)CC(C)NC.Cl
+CC1=C(C=C(C=C1)C2=NOC(=N2)CNC(=O)CC3=CC=CC=C3)NC
+CC1=C(SC(=N1)CCC2=NC(=NO2)C3(CCC3)NC(=O)CC(C)NC)C.Cl
+C1CC(C1)(C2=NOC(=N2)CCC(=O)CCOC3=CC=C(C=C3)[N+](=O)[O-])NC
+C1CC(C1)(C2=NOC(=N2)COC3=CC=C(C=C3)CNC(=O)NCC=C)NCC(F)(F)F.Cl
+CC1=C(C=CC(=C1)C2=NOC(=N2)C3=CNC(=O)C=C3)C4=CC=C(C=C4)F
+C1CC(C1)(C2=NOC(=N2)CCSCC3=CC=C(C=C3)Br)NC.Cl
+CC(CC1=NOC(=N1)CN2C(=O)C3=C(C2=O)C=C(C=C3)F)NC
+COCCC(C1=NOC(=N1)C2=CC=CC=C2NC(=O)C3=CC=CO3)NC.Cl
+CC(CC1=NOC(=N1)C2=CC=C(S2)C3=CC=CC=C3C(F)(F)F)NC.Cl
+CC1=C(C=NN1C2=CC=C(C=C2)F)C3=NC(=NO3)CC(C)NC
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)C3=CN=CC=C3)NC.Cl
+CC(CC1=NOC(=N1)C2=C(C=CC(=C2)Cl)NC(=O)C(C)(C)C)NC
+CC(CC1=NOC(=N1)C2=C(C=C(C=C2)SC)OCC3=CC=C(C=C3)Cl)NC.Cl
+C1CC(C1)(C2=NOC(=N2)C3=NNC(=C3)CCC4=CC=CC=C4)NC(=O)CCC(=O)O
+CC1=C(C=NC=C1)C(=O)N2CCCC2C3=NC(=NO3)CC(C)NC
+CS(=O)(=O)C1=CC=C(S1)C2=NC(=NO2)C3(CCC3)NC
+CC(CC1=NOC(=N1)C2=CC(=CC(=C2)C(F)(F)F)C3=CC=CC=C3)NC
+CC(C1=CC=CC=C1OCC(=O)NC2=CC=C(C=C2)F)NC
+CNC(=O)C1=CC=CC=C1OCC2=NC(=NO2)CC(C)NC.Cl
+CC(CC1=NOC(=N1)CSC2=CC=CC=C2)NC
+CC1=NC(=CN1C2=CC(=CC(=C2)Br)Cl)C3=NC(=NO3)C(C)NC.Cl
+CC(C)C(C1=NOC(=N1)C2CC(=O)N(C2)CC3=CC=CC=C3)NC(=O)C(C)NC
+CC(C)COC1=CC=C(C=C1)C2=NOC(=N2)CC(C)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCOC3=C(C=C(C=C3)Br)F)NC.Cl
+CCOC1=CC=C(C=C1)CC2=NC(=NO2)C3(CCC3)NC.Cl
+CC(C1=NOC(=N1)C2=C(C=CS2)SC3=CC(=CC=C3)C(F)(F)F)NC.Cl
+CC(CC1=NOC(=N1)CC2=NC(=NO2)C3(CCC3)NS(=O)(=O)C)NC
+C1CC(C1)(C2=NOC(=N2)CC3=CSC(=N3)CC(=O)N(CC4=CC=CC=C4)CCOC(F)(F)F)NC.Cl
+CC1=CC(=C(C=C1)NC(=O)CC2=NOC(=N2)CC3CCCC(C3)NCC(C)NC)C
+CC(C1=NOC(=N1)CSCC(=O)C2=CC=C(C=C2)OCC3=CC=CC=C3)NC
+CC1=C(C(=CC=C1)C2=NOC(=N2)C3CC3C4=CC=CC=C4)OCC(F)(F)F
+C1CC(C1)(C2=NOC(=N2)CCOC3=CC=C(C=C3)C(F)(F)F)NC
+CCCN(CCC)S(=O)(=O)C1=CC=C(C=C1)C2=NC(=NO2)CC(C)NC.Cl
+CC(CC1=NOC(=N1)C2CCN(CC2)C3=CC=C(C=C3)OC)NC
+C1CC(C1)(C2=NOC(=N2)CNC(=O)NC3=CC=CC=C3OC(F)F)NC
+CC(C)S(=O)(=O)C1=CC=CC(=C1)C2=NC(=NO2)CC(C)NC.Cl
+CN(CCCOC1=CC(=C(C=C1)F)F)CC2CCNCC2.Cl
+CCC(CC)N1C2=C(C=N1)C(=CC(=N2)C3=CC=CC=C3)CC4=NC(=NO4)C(C)NC
+CCC(CC)N(CC1=CC=CC=C1)C2=NC(=NO2)CC(C)NC
+CC(C)CC1=NOC(=N1)C2=C(C=C(S2)C3=CC=C(C=C3)F)NC
+C1CC(C1)(C2=NOC(=N2)CCC3=CSC(=N3)CCC(F)(F)F)NCC4=CC=CC=C4.Cl
+CC(C)(C1=CC=C(C=C1)Br)C2=NC(=NO2)CC(C)NC
+CCC1=CC=C(S1)C2=NC(=NO2)CC(C)NC.Cl
+CCC(CC)OC1=CC=CC=C1C2=NC(=NO2)CC(C)NC
+CC(C)C(C1=NOC(=N1)CC2=CC=C(C=C2)OC)NC
+C1CC(C1)(C2=NOC(=N2)CCSCC3=CC=CC=C3)NCC4CCOCC4
+C1CC(C1)(C2=NOC(=N2)CCOC3=CC=CC4=CC=CC=C43)NC.Cl
+CC(C)N1C=C(N=N1)CC2=NC(=NO2)C3(CCC3)NC
+CC1=C(OC(=N1)CCC2=NC(=NO2)CC(C)NC)C3=CC=CC=C3OC
+CCC1=CSC(=N1)C2=CC=C(C=C2)CC3=NC(=NO3)CC(C)NCC(C)NC
+C1CC(C1)(C2=NOC(=N2)CCC3=NC4=CC=CC=C4OC3=O)NC.Cl
+CC1=C(C=NN1CC(=O)NC2=CC=CC=C2)CC3=NC(=NO3)CC(C)NC
+CC(CC1=NOC(=N1)C2=CC(=C(C=C2)OCC3=CC=CC=C3)Cl)NC.Cl
+CC(C1=NOC(=N1)C2=CC(=CC=C2)OC(F)F)NC
+COC1=CC=C(C=C1)C2=NOC(=N2)C3=CC4=C(C=C3)OCCO4.Cl
+CN1C=C(C(=N1)C2=CC(=CC=C2)F)C3=NC(=NO3)CC(C)NC.Cl
+CC(CC1=NOC(=N1)C2=C(SC=C2)SC(F)(F)F)NC
+CCN1CCC(CC1)C2=NC(=NO2)CC(C)NC.Cl
+CC(CC1=NOC(=N1)C2=C(SC=C2)N3C=CC=N3)NC
+CCC(C)N1C=C(C(=N1)C2=CC=CC=C2C3=NC(=NO3)CC(C)NCC4=CC=CC=C4)C.Cl
+CC(CC1=NOC(=N1)C2=C(C(=CC=C2)OC)OC(F)(F)F)NC
+CC(C)C(=O)NCC1=CC(=C(C=C1)F)/C=C/C2=NC(=NO2)CC(C)NC.Cl
+CCC(CC)S(=O)(=O)C1=CC=C(C=C1)C2=NOC(=N2)C3CCCN(CC3)CC
+CC1=CC=C(C=C1)OCC2=NOC(=N2)CCC3=NC=C(O3)C(C)NC.Cl
+CCOC1=C(C=C(C=C1)CC2=NC(=NO2)CC(C)NC)C
+CC(C1=NOC(=N1)C2=CC=CC=C2Cl)NC.Cl
+CC1CC(CCN1CC2CCN(C2)CC3CCCNC3)OC.Cl
+CC1CCC(CC1)N(C)CC2=NC(=NO2)CC(C)NC.Cl
+CC(C(=O)NCC1=NC(=NO1)C2(CCC2)NC(=O)CC3=CC=CC=C3)NC
+CC1=CC(=C(C=N1)C2=NC=C(S2)CC3=NOC(=N3)CC(C)NC)C.Cl
+CC(C)NS(=O)(=O)C1=CC=C(C=C1)C2=NC(=NO2)CC(C)NC.Cl
+CC(C)(C1=NOC(=N1)CC(C)(C)NC)NC(=O)NCC(C)(C)NC.Cl
+CC(C)COC1=CC=C(C=C1)C2=NC(=NO2)CC(C)NC.Cl
+CC1=C(C2=C(O1)C=C(C=C2)C3=NOC(=N3)CC(C)NC)C(C)C
+CC(C)OC1=C(C=CC(=C1)C(=O)N2CCC(CC2)C3=NC(=NO3)CC(C)NC)OC
+CC(CC1=NOC(=N1)C2=CC(=CS2)NC(=O)C3CCCN(C3=O)C)NC
+CC(CC1=NOC(=N1)C2=C(C=C(C=C2)Cl)Cl)NC
+CC1=C(C(=CC=C1)C2=NOC(=N2)CCC3=NC(=NO3)CC(C)NC)OC.Cl
+C1CC(C1)(C2=NOC(=N2)CCOCC3CCOCC3)NC
+CS(=O)(=O)C1=CC=C(C=C1)C2=NOC(=N2)CCNC(=O)CC3CCCCC3.Cl
+C1CC(C1)(C2=NOC(=N2)CCSCC3=CC=C(C=C3)Cl)NC.Cl
+CC(CC1=NOC(=N1)C2=CSC(=N2)C3=CC(=CC=C3)Br)NC.Cl
+CC(CC1=NOC(=N1)C(CC2=CC=CC=C2)NC(=O)C3=CC=C(C=C3)F)NC.Cl
+CC1=NOC2=C1C(=C(C=N2)C3=NC(=NO3)CC(C)NC)C4CCCCCC4
+CC(C1=NOC(=N1)C2=C(C=CC(=C2)Cl)Cl)NC
+COC1=CC=CC(=C1)CC2=NOC(=N2)CCC3=NC(=NO3)CC(C)NC.Cl
+CC1=CC(=C(C=C1)OCCC2=NC(=NO2)CC(C)NC)C3CCNC3=O
+CC1=C(C=CC(=C1)S(=O)(=O)NCCC2=NC(=NO2)CC(C)NC)[N+](=O)[O-]
+CN(CC1=CC=CC=C1)C2=NC=C(C=C2)C3=NC(=NO3)CC(C)NC
+C1CC(C1)(C2=NOC(=N2)C3CC(=O)NC4=C3C(=CC(=C4)F)C(F)(F)F)NC
+CC1=CC(=C(N1C2=CC=CC=C2)C)C3=NC(=NO3)CC(C)NC
+CCOC1=C(C=C(C=C1)Cl)C2=NC(=NO2)CC(C)NC.Cl
+CC1=C(C=CC(=C1)C(=O)N2CCSCC2C3=NC(=NO3)CC(C)NC)OC.Cl
+CC1=NN(C=C1CN2CCC(C2)(C)C3=NC(=NO3)CC(C)NC)CC.Cl
+C1CC(C1)(C2=NOC(=N2)CCC(=O)CCC3=CC=CC=C3F)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCNC(=O)C3=CC=CC=C3F)NC
+CC(C)C1=CC(=NN1C2=CC=CC(=C2)C3=NC(=NO3)CC(C)NC)C
+CC(CC1=NOC(=N1)C(C)N2C(=O)CCC2=O)NC.Cl
+CC(CC1=NOC(=N1)C2=CC3=C(C=C2)C(=O)N(C(=O)O3)CC(F)(F)F)NC
+C1CC(C1)(C2=NOC(=N2)CCSC(F)(F)F)NC.Cl
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)SCC3=CC=CC=N3)NC
+C1CC(C1)(C2=NOC(=N2)CCC3=C(C(=CC=C3)Br)Cl)NC.Cl
+C1CC1C(=O)NC(CC2=NOC(=N2)CCC3=COC=C3)CC(F)(F)F
+CC1=CC(=C(C=C1)S(=O)(=O)N2CCSC(C2)CC3=NC(=NO3)CC(C)NC)C.Cl
+CC(CC1=NOC(=N1)C2=NN(C=C2C3=CC=CC=C3)CC4=CC=CS4)NC.Cl
+CCOC1=C(C=C(C=C1)C2=NOC(=N2)CCC3=NC(=NO3)CC(C)NC)OC.Cl
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)OC(F)F)NC.Cl
+CC(=O)N1CCC2=CC=CC=C2C1CCC3=NC(=NO3)CC(C)NC.Cl
+CN(CC1=NOC(=N1)C2CCN(CC2)C(=O)C3=CC=CC(=C3)OC)CC
+CC(CC1=NOC(=N1)CNC(=O)NC2=CC=CC=C2C(F)(F)F)NC.Cl
+CCOC1=C(C=C(C=C1Cl)C2=NC(=NO2)CC(C)NC)OCC3=CC=C(C=C3)F
+CC(CC1=NOC(=N1)CN2C(=O)C3=CC=CC=C3N=C2Cl)NC.Cl
+CC(CC1=NOC(=N1)C2=CC(=C(C=C2)OCC3=CC=CC=C3)[N+](=O)[O-])NC
+CCC(=O)NCC(C1=NOC(=N1)CCC2=CC=CC=C2OC(F)(F)F)NC.Cl
+CC1=C(C(=NN1CC2=CC=CC=C2Cl)C)C3=NC(=NO3)CC(C)NC
+CC1=CC=CC=C1CC2=NOC(=N2)CCC3=NC(=NO3)CC(C)NC.Cl
+CNS(=O)(=O)C1=C(C=CC(=C1)C2=NC(=NO2)CC(C)NC)OC.Cl
+CC(CC1=NOC(=N1)C(C)(C)NC)NC(=O)CCCC2=CC=CC=C2
+COC1=C(C(=CC(=C1)C2=NC(=NO2)CC(C)NC)OCC3CCOCC3)OCC(=O)NC4CC4.Cl
+CC1=CC(=CC=C1)NC(=O)N2CCCC(C2)C3=NC(=NO3)CC(C)NC
+COC1=C(C=CC(=C1)C2=NOC(=N2)CCC3=NOC(=N3)CCC4=CC=CC=C4)NC(=O)C.Cl
+COCCOCC1=NOC(=N1)CCC2=NC(=NO2)C3(CCC3)NC
+CC1=NOC(=N1)C2=CC(=C(C=C2Cl)OCC3=NOC(=N3)C(C)NC)C.Cl
+CC(C)C1=NOC(=N1)C2=CC=C(C=C2)CC3=NC(=NO3)CC(C)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CC3=CC=CC=C3SCC(=O)NC(F)(F)F)NC.Cl
+COC1=C(C=C(C=C1)CC(=O)N2CCCCC2C3=NC(=NO3)CC(C)NC)OC(C)C
+CC(C1=NOC(=N1)CSC2=CC=C(C=C2)SC(F)(F)F)NC.Cl
+CCOC(=O)C1=CC=C(C=C1)SCC2=NC(=NO2)C3(CCC3)NC.Cl
+CC(C)OC1=CC=C(C=C1)CC2=NOC(=N2)CCC3=NC(=NO3)CC(C)NC
+CC1=CC(=CC(=C1OCC2=NOC(=N2)C3=C(SC(=N3)CC(C)NC)C)CC(C)C)C
+CC(CC1=NOC(=N1)C2(CCCC2)SC3=CC(=C(C=C3)Cl)Cl)NC.Cl
+CC(CC1=NOC(=N1)C2=C(NC=C2)NC(=O)C3=CC=CO3)NC
+CC1=CC=C(O1)C2(CCCCC2)C3=NC(=NO3)CC(C)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CC3=CC=C(C=C3)C(F)(F)F)N3CCNCC3
+CCN(CCC1=NOC(=N1)C2=C(N=CC=C2)OCC3=CC=CC=C3)CC(F)(F)F
+CCOCCOC1=CC=C(C=C1)C2=NOC(=N2)CCC3=NOC(=N3)CC(C)NC.Cl
+CC(C1=NOC(=N1)CNC(=O)C2=CC=C(C=C2)OC3=CC=CC=C3)NC.Cl
+CC1=C(C=C(C=C1)S(=O)(=O)NC(C)C)C2=NC(=NO2)CC(C)NC.Cl
+CC(CN1CCC(CC1)C2=NC=C(O2)C3=CC=CO3)NC.Cl
+CC(CC1=NOC(=N1)C2=C(C=C(C=C2)Cl)Cl)NC
+C1CC(C1)(C2=NOC(=N2)CCNS(=O)(=O)C3=CC(=C(C=C3)Cl)Cl)NC.Cl
+CC1=C(N=NN1C2=CC=C(C=C2)OC)CC3=NC(=NO3)CC(C)NC
+C1CC(C1)(C2=NOC(=N2)CCN3C=C(C=N3)Br)NC
+CC(CC1=NOC(=N1)C(C)C2=C(C=CS2)OC)NC
+C1CC(C1)(C2=NOC(=N2)CCC3=CC4=CC=CC=CN=C4C=C3)NC.Cl
+CCC1=C(C=C(O1)C(=O)N2CCCC2C3=NC(=NO3)CC(C)N)F.Cl
+CCC(CC)(C1=NOC(=N1)CC2=C(N(N=C2)C)C3=CC=C(C=C3)OC)NC
+COC1=CC(=C(C=C1)C2=NOC(=N2)C3=CC=C(C=C3)C(=O)NCC(C)NC)OC.Cl
+CC1=CC=C(N1C2=NC=C(C=C2)C3=NC(=NO3)CC(C)NC)C(C)C
+C1CC(C1)(C2=NOC(=N2)CSCC3=CC=NC4=CC=CC=C34)NC.Cl
+C1CC(C1)(C2=NOC(=N2)C3=CC(=C(C=C3)F)Cl)NC
+CCOC1=C(C=C(C=C1)S(=O)(=O)N2CCC(CC2)CC3=NC(=NO3)CC(C)NC)OC.Cl
+C1CC(C1)(C2=NOC(=N2)C3=CC(=O)NC=C3)NC.Cl
+CC(C)C(C1=NOC(=N1)C2=CC=C(S2)OCC3=CC=CC=C3)NC
+CC(CC1=NOC(=N1)CCC(=O)C2=CC3=C(C=C2)NC=C3)NC
+C1CC(C1)(C2=NOC(=N2)CCN(CC(=O)OCCOC3=CC=CC=C3)C(F)(F)F)NC.Cl
+COC(=O)C1=CC(=C(C=C1)OC)CC2=NC(=NO2)CC(C)NC.Cl
+CC(C1=NOC(=N1)C2=C(C=CC(=C2)Cl)S(=O)(=O)N3CCCC3)NC
+CC(CC1=NOC(=N1)CSC)NCC2=CC=CC=C2
+C1CC(C1)(C2=NOC(=N2)C3=CSC(=N3)CC4=CC(=CC=C4)Br)NC.Cl
+CCC1=C(C=CC(=C1)C2=NOC(=N2)CCC3=NC(=NO3)CC(C)NC)C
+CC(CC1=NOC(=N1)C2=CC=CC=C2SC(F)F)NC.Cl
+CC1=CC(=C(C=C1)C)N2C(=NC(=N2)CC(C)NC)CC3=CC=C(C=C3)F
+CC(C)C(C1=NOC(=N1)CCC2=C(C=CC(=C2)OC)OC)NC.Cl
+CC(CC1=NOC(=N1)CC2CCN(CC2)CC3=CC=C(C=C3)C(F)(F)F)NC.Cl
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)COC3=CC=CC=C3Cl)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CS(=O)(=O)C3=C(C=C(C=C3)F)Cl)NC
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)OCC(=O)NC3=CC=CC=C3Cl)NC
+CC1=CC(=C(C=C1)NC(=O)C2CC(=O)N(C2)CC(C)NC)CC(C)C
+CC1=C(SC(=N1)C2=CC=CC=C2)C3=NC(=NO3)CC(C)NC.Cl
+CC(C)S(=O)(=O)C1=CC=C(C=C1)S(=O)(=O)N2CCCC2C3=NC(=NO3)CC(C)NC
+CC(C)OC1=CC=C(C=C1)OCCC2=NOC(=N2)CC3=NC(=NO3)C(C)NC.Cl
+CCCCC1CC(CC1)CCC2=NC(=NO2)C3(CCC3)NC
+CC(CC1=NOC(=N1)C2CCCN(C2)CC3=CC(=CC=C3)Cl)NC
+CC1=CC(=O)N(C2=C1C(=O)N3CCCCCCC3=N2)CC(=O)NCC(C)NC
+CC(CC1=NOC(=N1)C2CCN(CC2)CC3=CC=CC=C3)NC
+C1CC(C1)(C2=NOC(=N2)C3=CC(=C(C=C3)NC(=O)CSCC=C)Cl)NCC(=O)OC
+C1CC(C1)(C2=NOC(=N2)CN3CS(=O)(=O)CC3)NC
+CC1=CC(=C(N1C(C)C2=NC=CO2)C)C3=NC(=NO3)C4(CCC4)NC.Cl
+CC(C1=NC(=NO1)C2(CCC2)N)NC(=O)C3=CC=CC=C3C(F)(F)F.Cl
+CC(C)NS(=O)(=O)C1=CC=C(C=C1)C2=NC(=NO2)C3(CCC3)NC.Cl
+CC(C1=NOC(=N1)C2=CC(=CC=C2)NC(=O)NCC3=CC=C(C=C3)OC)NC
+CC1=C(C=C(C=C1)N2C(=CC(=N2)C(C)C)CC3=NC(=NO3)CC(C)NC)Cl.Cl
+COC1=CC=C(C=C1)CCC2=NOC(=N2)CCC3=NC(=NO3)CC(C)NC
+CC(C)C(=O)NCC1=NN=C(S1)C2=NC(=NO2)CC(C)NC
+CC(CC1=NOC(=N1)CC2=C(C(=O)NC(=N2)C)[C@@H]3CCCO3)NC.Cl
+CC1=NN(C=C1C2=NC(=NO2)CC(C)NC)CC3=CC=CC=C3.Cl
+CC1=C(SC(=N1)CS(=O)(=O)NCC2=NC(=NO2)CC(C)NC)C.Cl
+CCOC1=CC=C(C=C1)N(CC2=NOC(=N2)CCC(=O)C3=CN(N=C3)CC4=CC=CC=C4)CC.Cl
+CC1=CC(=C(N1C2=NOC=C2)C)CC3=NC(=NO3)CC(C)NC.Cl
+CC(CC1=NOC(=N1)C(C)C2=CC=CC=C2C(F)(F)F)NC.Cl
+CC(CC1=NOC(=N1)C2=CSC(=N2)C(C)OCC(=O)NC(C)C)NC.Cl
+CC(C1=NOC(=N1)C2=CC(=CC=C2)NC(=O)CCC3=CN(N=C3)C)NC
+CC(CC1=NOC(=N1)C2=CC=CC(=C2)C(=O)NC(C)C)NC.Cl
+CC1=C(N=NO1)C2=C(C=C(C=C2)C3=NC(=NO3)CC(C)NC)C.Cl
+CC1=CC(=C(C=C1)OCC2=NOC(=N2)CCC3=NOC(=N3)C(C)NC)OC
+CCC1=C(OC(=N1)CCC2=NC3=C(S2)C=CC(=C3)OC(F)F)CC(=O)NCC(C)NC.Cl
+CC(C1=CC(=CC=C1)Cl)C2=NC(=NO2)CC(=O)NC3=CC=C(C=C3)C(C)NC
+CC(C(=O)NCC1=NC(=NO1)C2(CCC2)NC(=O)CC3=CC=CS3)NC
+COCCS(=O)(=O)CC1=NOC(=N1)C2=CC(=C(C=C2)OC)C3=NC(=NO3)C4(CCC4)NC
+C1CC(C1)(C2=NOC(=N2)CC3=C(C=C(C=C3)Cl)Cl)NC
+CC(CC1=NOC(=N1)CCC2=CC=CC=C2)NC.Cl
+CC(C)NC(=O)N1CCC2=C1C=CC(=C2)C3=NC(=NO3)CC(C)NC.Cl
+CC(C)C1=C(C=NN1C2=CC=CC(=C2)Cl)C3=NC(=NO3)CC(C)NC.Cl
+CC(CC1=NOC(=N1)C2=CC3=C(C=C2)NC(=O)CO3)NC.Cl
+CC(C)C(C1=NOC(=N1)C2=CC(=C(C=C2)OC(F)F)F)NC
+CC1=C(C=C(C=C1)C2=NOC(=N2)C3CCN(CC3)C(=O)CCC4=CC=CC=C4)C.Cl
+CC1=C(C=CC(=C1)N2C=CC(=N2)C3=NC(=NO3)CC(C)NC)C
+CC(C1=NOC(=N1)C2=C(C=CC(=C2)S(=O)(=O)C)C3=NC(=NO3)CC(C)NC)NC
+CC1=C(C(=O)N(N=C1C)C)CSCC2=NC(=NO2)CC(C)NC
+CC1=C(OC2=C1C=CC=C2Cl)C3=NC(=NO3)CC(C)NC
+C1CC(C1)(C2=NOC(=N2)CCNC(=O)C3=CC=C(C=C3)Cl)NC.Cl
+CNC(=O)C1=CC(=C(C=C1Cl)Cl)C2=NC(=NO2)C3(CCCC3)NC.Cl
+CC(C)C(C1=NOC(=N1)C2=CC(=C(C=C2)F)NC(=O)C3=CC=CC=C3)NC.Cl
+CC(C)(C1=NOC(=N1)COCC(C)NC)NC2=CC=C(C=C2)F
+C1CC(C1)(C2=NOC(=N2)CCCCSC3=CC=CC=C3)NC
+CCOC(=O)C1=CC=C(C=C1)S(=O)(=O)NCCC2=NC(=NO2)CC(C)NC.Cl
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)CSCC3=CC=CC=C3)NC
+CS(=O)(=O)CC1=CC(=CC=C1)NC(=O)CCC2=NC(=NO2)CC(C)NC
+CC1=CC(=CC(=N1)C2=NOC(=N2)CC(C)NC)C(F)(F)F
+C1CC(C1)(C2=NOC(=N2)CC3CCCCO3)NC(=O)NCC(C(F)(F)F)NC
+CC(C1=NOC(=N1)CC(C)NC(=O)C2=CC=CC=C2)NC.Cl
+CS(=O)(=O)C1=CC=C(C=C1)C2=NC(=NO2)CC(C)NC.Cl
+COC1=CC=C(C=C1)C2=CC=C(C=C2)CCC3=NOC(=N3)CC(C)NC.Cl
+CC(C)C(C1=NOC(=N1)CCC2=C(C=C(C=C2)Br)OC)NC.Cl
+CC(CC1=NOC(=N1)C2=CSC(=N2)CC3=CC(=CC=C3)F)NC
+CC1=CC(=C(C=C1)C)OCCC2=NC(=NO2)CC(C)NC
+CC(C)CCOC1=CC=C(C=C1)NC(=O)CCC2=NC(=NO2)C3(CCC3)NC
+CC(CC1=NOC(=N1)C2=C(C=C(C=C2)Br)NC(=O)CC3CCCC3)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CC3=CSC(=N3)CC(F)(F)F)NC
+CCC(CC)N1C=C(N=N1)CC2=NC(=NO2)C3(CCC3)NC.Cl
+CC1=C(C=NN1C)S(=O)(=O)NC2=CC=CC(=C2)C3=NC(=NO3)CC(C)NC.Cl
+COC1=CC(=C(C=C1)OC)C2=NC(=NO2)CC(C3=CC=CC=C3)NC.Cl
+CC(C)CN(CCOCC1=CC=CC=C1)C2=NC(=NO2)CC(C)NC
+CCOC1=C(C=C(C=C1Br)CC2=NC(=NO2)CC(C)NC)OCC3=CC=CC=C3.Cl
+CC(CC1=NOC(=N1)C2=CC=CC=C2NC(=O)C3=CC=CS3)NC
+CC1=CC(=C(S1)C)S(=O)(=O)NCC(C)NC(=O)CCC2=NC(=NO2)CC(C)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CC3=CC=CC=C3OC(F)F)NC
+CC(CC1=NOC(=N1)C2=CC=CC(=C2)NC(=O)NC3=CC=C(C=C3)OC)NC
+C1CC(C1)(C2=NOC(=N2)CCC3=CC(=CC=C3)F)NC(=O)CCC4CCCC4
+CC(C)CN(CCC)C(=O)C1=CC=C(C=C1)C2=NC(=NO2)C3(CCC3)NC.Cl
+CCC(CC)C(=O)NCC(=O)NC(CC1=NC(=NO1)C2(CCC2)NC)C3CCCC3.Cl
+CC1=C(SC(=N1)CCC2=NC(=NO2)CC(C)NC)CC(C)NC(=O)NC
+C1CC(C1)(C2=NOC(=N2)CCC3=CC=CC=C3OC(F)(F)F)NCC4=CC=CC=C4.Cl
+CCC(CC(=O)N1CC(CC1)C2=NC(=NO2)C3(CCC3)NC)NC(=O)NC.Cl
+CCC(CC)C1=NC(=NO1)CC(C)NC.Cl
+CC(CC1=NOC(=N1)C2(CCCC2)NC(=O)C3=CC=CC=C3F)NC
+COCCN(CC1=NOC(=N1)COC2=CC=CC=C2OC(F)(F)F)C(F)(F)F
+COC1=CC=CC=C1C2=NC(=CS2)CC(=O)N3CCCCC3C4=NC(=NO4)CC(C)NC
+CC(CC1=NOC(=N1)C2CCN(CC2)C(=O)C3CCCOCC3)NC.Cl
+CC(C1=NC(=NO1)CC(C)NS(=O)(=O)C2=C(C=CC(=C2)OC)OC)NC.Cl
+CC(C)N(CCC1=NOC(=N1)CCOC2=CC=CC=C2Cl)C(=O)C3=C(C=C(C=C3)F)NC
+CC(CC1=NOC(=N1)CSCCOC)NC
+CC(C1=NOC(=N1)COC2=CC=CC=C2Cl)NC.Cl
+CC1=C(OC2=C1C=C(C=C2)Cl)CC3=NC(=NO3)CC(C)NC
+CC(C(=O)N1CCCCCC(C1)C2=NC(=NO2)C3(CCC3)NC)NC(=O)C.Cl
+C1CC(C1)(C2=NOC(=N2)C3=C(C=CC(=C3)F)F)NC.Cl
+CC(CC1=NOC(=N1)C(C)NC(=O)NC2=CC=CC=C2)NC(=O)C3=CC=CC=C3
+CC(CC1=NOC(=N1)CCC2=NC(=NO2)CC3(CCC3)CC4=CC=CC=C4)NC.Cl
+CC1CCCCC12C(=O)N(C=N2)CC3=NC(=NO3)CC(C)NC
+CC(CC1=NOC(=N1)C2CCN(CC2)S(=O)(=O)C3=C(C=CC(=C3)Cl)Cl)NC.Cl
+CC1=NN2C(=CC=CC2=NC=C1)CCC3=NC(=NO3)CC(C)NC
+CC1(CCCN(C1)CC2CCCNC2)CC3=CC=CC=C3.Cl
+CCOC1=C(C=CC(=C1)C2=NOC(=N2)CCC3=NOC(=N3)C4=CC=NC=C4)OC
+CC(CC1=NOC(=N1)CCC(=O)NC2=CC(=CC=C2)[N+](=O)[O-])NC
+CCC1=NC(=NO1)COC2=CC=C(C=C2)C3=NC(=NO3)CC(C)NC
+CC(C)C(C1=NOC(=N1)C2=CC(=CC(=C2)NC(=O)C3CCCC3)F)NC.Cl
+CC(C1=NOC(=N1)CCCSC2=CC=CC(=C2)OCCOC)NC
+CC1=C(SC(=N1)CCC2=NC(=NO2)CC(C)NC)C3=CC=C(C=C3)F.Cl
+CN(CC1=CSC=C1)C2=NC(=NO2)C3(CCC3)NCC4=CC=CC=C4.Cl
+CC(CC1=NOC(=N1)CC2=CC=C(C=C2)F)NC.Cl
+CC(C)COC1=CC=C(C=C1)OC(C)C2=NC(=NO2)CC(C)NC
+CC(C)COC1=CC=CC(=C1)C(=O)NCCC2=NC(=NO2)CC(C)NC
+C1CC(C1)(C2=NOC(=N2)CSCC3=CC=CC=C3)NC.Cl
+CC(C)CC1=NC3=C(C=C1)N(C(=O)C)C(=CC(=C3)Cl)CC(=O)NCCCNC(=O)NCC
+CC1=C(C(=NO1)C)COC2=C(C=C(C=C2Cl)C3=NC(=NO3)CC(C)NC)OC.Cl
+CC(CC1=NOC(=N1)CCNC(=O)C2=CC=CC=C2)NC
+C1CC(C1)(C2=NOC(=N2)CSCC3=CC(=CC=C3)Br)NC
+CC1=C(C(=NN1CCC2=NOC(=N2)CCNC(=O)C3CC3)C)CC.Cl
+CC(C)C1=NOC(=C1)CC2=NC(=NO2)CC(C)NC.Cl
+C1CC(C1)(C2=NOC(=N2)C3=C(C=C(C=C3)Br)Cl)NC
+CC1=CC=C(C=C1)C2=C(C=NN2CC3=NC(=NO3)CC(C)NC)C.Cl
+CC(C1=NOC(=N1)C2=C(C=C(C=C2)F)I)NC
+C1CC(C1)(C2=NOC(=N2)C3=NOC(=C3)CCOCC4=CC(=CC=C4)F)NC.Cl
+CCC1=NN(C(=C1C2=NOC(=N2)CCC3=CC=C(S3)C(=O)CC)C(C)(C)NC)C.Cl
+CC(CC1=NOC(=N1)C2=CSC(=N2)CC3=CC4=C(C=C3)OCCO4)NC.Cl
+CC(C1=NOC(=N1)CSC2(CCC2)C(F)(F)F)NC.Cl
+CC(CC1=NOC(=N1)C2CC(=O)N(C2)CC3=CC(=CC=C3)Cl)NC
+CC(CC1=NOC(=N1)C2=C(N(N=C2)C3=CC=CS3)CC4=CC=CC=C4)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CC3=COC(=N3)CC(F)(F)F)NC
+CC(C)C1=NC(=NO1)CN2CCC(CC2)C3=NC(=NO3)CC(C)NC.Cl
+CC1CCN(CC1)S(=O)(=O)CC2=CC=C(C=C2)C3=NC(=NO3)CC(C)NC
+CC1=C(C(=NO1)C)COC2=CC=CC=C2C3=NC(=NO3)CC(C)NC
+CC(C1=NOC(=N1)C2(CCCC2)CC3=CC=CC=C3F)NC.Cl
+C1CCC(CC1)C(=O)N2CCC(CC2)CC3=NC(=NO3)CC(C(F)(F)F)NCC4=CC=C(C=C4)NCl
+CC(C)C(C1=NOC(=N1)C2=C(C=CC(=C2)S(=O)(=O)NC)OC)NC.Cl
+CC1=CC(=CC=C1)C2=NOC(=N2)C3=CC=C(C=C3)C4=NOC(=N4)CC(C)NC
+CCOC1=C(C=C(C=C1)C2=NC(=NO2)CC(C)NC)OC(F)F
+CC1=CC(=CC(=C1)NC(=O)C2=NC(=NO2)C3(CCC3)NC)C.Cl
+CC(CC1=NOC(=N1)C2=CC(=CC=C2)S(=O)(=O)N(C)CC=C)NC
+CSCC(=O)NCC(C1=NC(=NO1)C2(CCC2)NC(=O)C3CCCC3)NC
+CCC(CC1=NOC(=N1)C2CCN(C2)CC3=CC=CS3)NC.Cl
+CC(C)(CC1=NOC(=N1)CN2C(=O)CCC2=O)NC.Cl
+C1CC(N(C1)CC2=CC=CC=C2)CC3=NC(=NO3)CC(C(F)(F)F)NCC4=CC=CC=C4.Cl
+CCCC1=CC=C(C=C1)C(C)C2=NOC(=N2)CNC(=O)C3CCCN(C3)CCC.Cl
+CC1=CC=C(C=C1)C2=NC=C(C(=N2)C3CC3)C(=O)NCC4=NC(=NO4)CC(C)NC
+CCC1=C(C=C(O1)C2=NOC(=N2)CC(C)S(=O)(=O)N(C)CC3=CC=CS3)NC
+CC(C1=NOC(=N1)C2CCN(CC2)CC3=CC=C(C=C3)OC)NC
+CC(CC1=NOC(=N1)C2=C(SC=C2)C3=CC(=CC=C3)Br)NC.Cl
+CC(CC1=NOC(=N1)CCNS(=O)(=O)C2=CC=C(C=C2)F)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CC3=CC=CC=C3C(F)(F)F)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CNS(=O)(=O)C3=CC=CC=C3Cl)NC.Cl
+COC1=CC(=CC(=C1OC)OC)C2=NOC(=N2)/C=C/C3=NC(=NO3)CC(C)NC
+C1CC(C1)(C2=NOC(=N2)CCNC(=O)C3=CC=CC=C3C(F)(F)F)NC
+CC1=CC=C(C=C1)OC(C)C2=NC(=NO2)C3(CCC3)NC.Cl
+CC(CNC(=O)C1=CC=CC=C1OCC2=CC=CC=C2)NC.Cl
+CC(C)C(C1=NOC(=N1)CNC(=O)C2=CC=CS2)NCC3=CC=CS3.Cl
+CC(CC1=NOC(=N1)C2=C(C=C(C=C2)Cl)Cl)NC
+CC1=CC(=CC(=C1)OC)OCCCC2=NC(=NO2)CC(C)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCNC3=CN(N=C3)CC(F)F)NC
+COC1=CC(=CC(=C1OC(C)CC)S(=O)(=O)NCC2=CC=CC=C2)CC3=NC(=NO3)CC(C)NC.Cl
+CC(=O)NCC1=NC(=NO1)C2(CCC2)NC.Cl
+CC(C)OC1=C(C=CC(=C1)/C=C/C2=NC(=NO2)CC(C)NC)OCC(C)NC
+CC1=NN(CC=C1)C2=CC=C(C=C2)C3=NC(=NO3)CC(C)NC
+CCC(CC1=NOC(=N1)C2=CC=CC(=C2)NC(=O)CC3=CC=CC=C3)NC
+CC1=C(SC2=C1C=C(C=C2)Cl)C3=NC(=NO3)CC(C)NC
+CC1=C(C=CC(=C1)C(C)C)CC2=NC(=NO2)C3(CCC3)NC.Cl
+CC(CC1=NOC(=N1)CC2=CC(=CC=C2)OCC3=CC=CC=C3)NCC4CCC4
+CC(CC1=NOC(=N1)C2=NN(C(=C2)CC3=CC=CC=C3)CC4=CC=CC=C4)NC.Cl
+COC1=CC=C(C=C1)OCC2=NC(=NO2)CC(C)NC.Cl
+CC(C1=NOC(=N1)C2=NC(=C(C=C2)Cl)NC(=O)C3=CC=CC=C3)NC.Cl
+CC(CC1=NOC(=N1)CC(C)(C)C)NC
+CC1=CC(=CC(=C1)C2=NC(=NO2)CC(C)NC)CC(=O)NC3=CC=C(C=C3)F
+CC(CC1=NOC(=N1)C2=CC(=CS2)C3=CNC(=O)C(=O)N3)NC.Cl
+CC(C1=NOC(=N1)C2=C(C=CC(=C2)NC(=O)C3=CC=CO3)OC)NC
+CC(CC1=NOC(=N1)C2=CC(=CC=C2)OCC3=CC=CC=C3)NC
+COCCN(CCC1=NOC(=N1)C2=CC(=C(C=C2)OC)Cl)CC3=CC=CC=C3
+C1CC(C1)(C2=NOC(=N2)CCNC3=CC(=C(C=C3)F)[N+](=O)[O-])NC.Cl
+CC1=CC(=C(N1C2=CC=CC=C2)C)C3=NC(=NO3)CC(C)NC
+CCCC(C)NC(=O)NCC1=NC(=NO1)C2(CCC2)NC
+CCOC1=CC=C(C=C1)SCC2=NC(=NO2)C3(CCC3)NC
+CCOC1=C(C=C(C=C1)CCC2=NC(=NO2)CC(C)NC)OC
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)OCC(=O)NC3CCC3)NC.Cl
+CC(CC1=NOC(=N1)CC(C)NCC2=CC=CC=C2)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CC3=NOC(=N3)CC4=CC=CC=C4)NC.Cl
+CC(CC1=NOC(=N1)CN2C(=O)C(=O)CCC2=O)NC
+CCC1=C(C=C(O1)C2=NC(=NO2)CC(C)NC)[N+](=O)[O-].Cl
+CC(C)N(CC1=CC=C(C=C1)F)CCC2=NC(=NO2)CC(C)NC.Cl
+CC(C1=NOC(=N1)C2CCN(CC2)C(=O)CC3=CC(=CC=C3)OC)NCC4CCCO4
+CCCCOC(=O)CC1=NOC(=N1)C2=CSC(=N2)C3=CC=CC4=C3NCC4.Cl
+C1CC(C1)(C2=NOC(=N2)CCC3CC3C4=CC=C(C=C4)Br)NC.Cl
+COC1=C(C=C(C=C1)CCC2=NC(=NO2)CC(C)NC)[N+](=O)[O-].Cl
+CC(CC1=NOC(=N1)C2=C(C=C(C=C2)Cl)Cl)NC.Cl
+CC(CC1=NOC(=N1)CCC2=CC=CC=C2)NC.Cl
+CC(C1=NOC(=N1)COC2=CC=CC(=C2)C3=CC=CC=C3)NC
+CC(CC1=NOC(=N1)C2=C(C=CC(=C2)Cl)OCC3CCCC3)NC
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)OCC(F)(F)F)NC
+CC(CC1=NOC(=N1)C2CCN(CC2)C3=CC=C(C=C3)F)NC
+CC(C)C(C1=NOC(=N1)C2=CSC(=N2)CC3=CN=CC=C3)NC.Cl
+CC(CC1=NOC(=N1)C2=CC=CC(=C2)C(F)(F)F)NC.Cl
+CCN(CC1=CC=C(C=C1)F)C(=O)CC2=NC(=NO2)CC(C)NC.Cl
+CC1=CC(=C(C=C1)N2CC(CC2=O)C3=NC(=NO3)CC(C)NC)OC
+CC(=O)C1=CC=C(C=C1)OCC2=NOC(=N2)C3=CN(N=N3)CC(C)NC.Cl
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)CSCC3=CC=CC=C3)NC.Cl
+CC(C1=NOC(=N1)CC2=CC=C(C=C2)OCC3=CC=CN3C(F)(F)F)N(C)NC
+CC(CC1=NOC(=N1)C2=CC=CC=C2OCCOC)NC
+CCOC1=CC=C(C=C1)SC(C2=NC(=NO2)C3(CCC3)NC(=O)NC)NC
+COC1=CC(=CC(=C1OC)OC)CCC2=NC(=NO2)C3(CCC3)NC.Cl
+CNC1=C(C=C(C=C1)C2=NC(=NO2)CC(C)NC)F
+CC(CC1=NOC(=N1)CN(CC2=CC=CC=C2)C3=CC=CC=C3OC)NC.Cl
+COC1=C(C=C(C=C1)Cl)C2=NC(=NO2)CC(C)NC
+CC(CC1=NOC(=N1)CCSC2=CC=C(C=C2)OCC(F)(F)F)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CC3=CSC(=N3)CCC(=O)CCNC(=O)CCOC)NC
+CC(C)C1=NOC(=N1)CSCC2=NOC(=N2)C3=CC4=CC=CC=C4C=C3.Cl
+CC(C)C1=NOC(=N1)CCC2=NC(=NO2)C3(CCC3)NS(=O)(=O)CC.Cl
+CCN(CC)S(=O)(=O)C1=CC=CC(=C1)C2=NC(=NO2)CC(C)NC.Cl
+CC(C)C1=NC(=C(S1)C2=NC(=NO2)CC(C)NC)OC3=C(C=CC=C3Cl)Cl.Cl
+CC1=NN2C=C(N=C2C=C1)CC3=NC(=NO3)CC(C)NC
+CN(CC1=CC=CC=C1OC)C2=NC(=CS2)C3=NC(=NO3)CC(C)NC.Cl
+CC1=CC=C(O1)C(CC2=NOC(=N2)CC3=CC=C(C=C3)SC(F)(F)F)NC.Cl
+CN(CCOCC1=NOC(=N1)C2=CC(=CC=C2)OC)C3=NC=CN3CC(F)(F)F.Cl
+CC(C1=NOC(=N1)CN(C)CC2=CC=C(C=C2)F)NC
+CC(C1=NOC(=N1)C2=CC(=CC=C2)NC(=O)NC3CC3)NC
+CCOCCOC1=C(C=CC(=C1)Cl)C2=NC(=NO2)CC(C)NC.Cl
+CC(CC1=NOC(=N1)CN2C(=O)C3(CCC3)C2)NC(=O)CCC.Cl
+CC(CC1=NOC(=N1)C2=C(C=C(C=C2)Cl)S(=O)(=O)NC3CC3)NC
+C1CC(C1)(C2=NOC(=N2)C3=CC=C(S3)COCC4=CC=CC=C4)NC
+CC1=C(C=C(C=N1)S(=O)(=O)C(C)C)C2=NC(=NO2)CC(C)NC.Cl
+CCC(C)OC1=C(C=C(C=C1)C2=NC(=NO2)CC(C)NC)OCC3CCCCC3
+CC1=C(N=NN1C2=CC=C(C=C2)Cl)C3=NC(=NO3)CC(C)NC
+C1CCC(CC1)(C2=NOC(=N2)CS(=O)(=O)C3=CC=C(C=C3)C(=O)N)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCOC3=CC=CC=C3C(F)(F)F)NC
+CC(C1=NOC(=N1)CCC2=CC=C(C=C2)OC)NC.Cl
+CC(CC1=NOC(=N1)CSCC2=CC=CC=C2)NC.Cl
+CC(C)N(CC1=CC=C(C=C1)SCC2=NC(=NO2)CC(C)NC)CC3=CC=CC=C3
+CC(CC1=NOC(=N1)CC2CCCNC2)OC3=CC=C(C=C3)C(F)(F)F.Cl
+CN(CC1=CC=CS1)C(=O)CN(C)CC2CCCCNC2
+CC(C1=NOC(=N1)C2=C(C=CC(=C2)NC(=O)C3=CC=CC=C3)NC(=O)NC)NC
+CCCC(=O)NC1=CC=CC(=C1)C2=NC(=NO2)CC(C)NC.Cl
+CC(CC1=NOC(=N1)C2(CCC2)NC(=O)C3=CC=C(S3)[N+](=O)[O-])NC
+CC(C1=CC=CC=C1)C2=NC(=NO2)CN3C(=O)COCC4(C3)CCC4
+CCN(CCC1=NOC(=N1)C2=C(C=CC(=C2)F)F)CC3=NC(=NO3)CC(C)NC.Cl
+CCC(C(=O)NCC1=NC=CS1)NC
+CC(CC1=NOC(=N1)C2=CC=CC=C2CSC(F)(F)F)NC
+CC(CC1=NOC(=N1)C2=CC(=CC=C2)S(=O)(=O)NCC3CCCC3)NC
+CCC(C1=NOC(=N1)C(C)C2=CC(=CC=C2)SCC3=CC=CC=C3)NC
+CN1C(=O)N(C=C1C2=NC(=NO2)CC(=O)NC(C)(C)C3=CC=CC=C3Cl)CC4CCNC4.Cl
+CN(CC1=CC(=CC=C1)Cl)C2=NC(=NO2)CC(C)NC
+C1CC(C1)(C2=NOC(=N2)CSCC3CC3)NC
+C1CC(C1)(C2=NOC(=N2)CCC3=CC=C(C=C3)C(F)(F)F)NC
+CC(CC1=NOC(=N1)CC2CCCOC2)NCC3=CC=CC=C3Cl.Cl
+CC1=C(SC(=N1)CC)C2=NC(=NO2)C3(CCC3)NC.Cl
+CC(C1=NOC(=N1)C2=C(C=CO2)C3=CC=CC=C3OCC4=CC=CC=C4)NC.Cl
+COC1=C(C=C(C=C1)C2=NOC(=N2)CCCC3=NC(=NO3)CC(F)(F)F)NC
+C1CC(C1)(C2=NOC(=N2)CCSCC3=COC=C3)NC.Cl
+C1CC(C1)(C2=NOC(=N2)C3=CC(=CC=C3)OCC(F)(F)F)NC
+C1CC(C1)(C2=NOC(=N2)C3=CC(=NN3)C4=CC=CC=C4)NC
+C1CC(C1)(C2=NOC(=N2)C3CC(=O)N(C3)CCOC4=CC=CC=C4)NC
+CC(CC1=NOC(=N1)CCC(=O)C2=CC=CC=C2)NC.Cl
+CCC(CC)OCCCCC1=NOC(=N1)C2=CN(N=N2)CCC3=CC=CC4=C3NCC4C.Cl
+CCC(C1=NOC(=N1)C2=CC=CC=C2SCC3=NC(=NO3)C4(CCC4)NC)NC.Cl
+CCC1=NC2=C(N1CC3=CC=CC=C3)C=C(C=C2)C4=NC(=NO4)CC(C)NC.Cl
+CC1=C(SC2=C1C(=O)N(C(=O)N2)CC3=NC(=NO3)CC(C)NC)CC
+COC1=CC=CC(=C1)NC(=O)N2CC(CC2=O)C3=NC(=NO3)CC(C)NC.Cl
+CC1(CC(C1)C2=NOC(=N2)C3CC34CCCCCCCC4)NC.Cl
+CC1=C(C=CC(=C1)S(=O)(=O)N2CCCCC2C)C3=NC(=NO3)CC(C)NC.Cl
+CC(C1=NOC(=N1)C2CC(=O)N(C2)CC3=CC=CC=C3)NC
+CC1=CC(=C(C=C1)C2=NOC(=N2)CCC3=NC(=NO3)C4(CCC4)NC)C.Cl
+CC(CC1=NOC(=N1)C2=CC=CC=C2NC(=O)CC(C)NC)NC(=O)CC
+CC(CC1=NOC(=N1)CC2=CC(=CC=C2)OCCOC)NC
+COC1=CC=CC=C1C2=NC(=NO2)CN3C(=O)C4(CCCC4)NC3=O.Cl
+CC(CC1=NOC(=N1)C(C)N2CCN(CC2)C3=CC=CC=N3)NC.Cl
+C1CCC(CC1)C(=O)NCCC2=NC(=NO2)C3(CCC3)NC.Cl
+CC(C)C(C1=NOC(=N1)C2=C(C=C(C=C2)Cl)N3C=CC=N3)NC
+CCC1=C(C=C(O1)C2=NOC(=N2)CNC(=O)CC3=CC=C(C=C3)Cl)NC
+CC1=C(C=C(C=C1)N2C(=CC(=N2)C3=NC(=NO3)CC(C)NC)Cl)Cl
+C1CC(C1)(C2=NOC(=N2)CN3C(=O)CCCC3=O)NC
+CC(C1=NOC(=N1)C2=C(C=C(C=C2)Cl)NC(=O)C(F)(F)F)NC.Cl
+CC(CC1=NOC(=N1)C2=C(SC(=C2)Cl)C3=CC=C(C=C3)OC)NC
+CCC1=C(C=C(O1)C2=NC(=NO2)CC(C)NC)[N+](=O)[O-].Cl
+CCC(C1=NOC(=N1)CCC2=CC=CS2)NCC3CCCC3.Cl
+CC(CC1=NOC(=N1)C2=C(N=CS2)C3=CC=CC=C3)NC
+CC(C1=CC=CC=C1OC)C2=NC(=NO2)CC(C)NC.Cl
+CC(C)N1CCCCC(C1=O)NC2=NC(=NO2)C3(CCC3)NC
+CC(C1=NOC(=N1)C2=CC=CC=C2CN3C=O)NC(C3=O)CC4=CC=CC=C4F.Cl
+C1CC(C1)(C2=NOC(=N2)C3=NC(=CS3)CC(F)(F)F)NC.Cl
+CC1=C(C(=NN1CC(C)C)C2=NC(=NO2)CC(C)NC)Br.Cl
+C1CC(C1)(C2=NOC(=N2)C3=C(C=CC(=C3)Cl)OCC(F)F)NC
+CC(CC1=NOC(=N1)CNC(=O)C2=CC=CC=C2)NC.Cl
+C1CC(C1)(C2=NOC(=N2)C3=C(C=CC(=C3)Cl)S(=O)(=O)CC4=CC=CC=C4)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCNC(=O)C3=C(C=CC(=C3)F)Cl)NC
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)SCC3=CC(=CC=C3)Cl)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCC3=CSC=C3)NC
+CS(=O)(=O)C1=CC=C(C=C1)C2=NOC(=N2)C3=CN(N=C3C4CCCC4)NC.Cl
+CC(C1=NOC(=N1)CCC2=CC=C(C=C2)OC3=CC=CC=C3)NC.Cl
+CC(C1=NOC(=N1)C2=C(C=C(C=C2)C(F)(F)F)I)NC.Cl
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)N3C=NC=CC3=O)NC.Cl
+CC(CC1=NOC(=N1)C2=CSC(=N2)C3=COC=C3)NC.Cl
+CC1=CC=C(C=C1)C(=O)CCC2=NOC(=N2)CSCC3=CC(=CC=C3)Cl
+C1CC(C1)(C2=NOC(=N2)CCN3C(=O)NC=C(C3=O)Br)NC.Cl
+CC(CC1=NOC(=N1)C2=CC(=CC=C2)NC(=O)C3=CC=CC=C3)NC.Cl
+CC(CC1=NOC(=N1)CC2=CC=CC=C2SC(F)F)NC
+CC(C)CC1=NC(=NO1)COC2=CC=CC=C2C3=NC(=NO3)CC(C)NC.Cl
+CC1=C(N=NN1C2=CC=C(C=C2)F)C3=NC(=NO3)CC(C)NC.Cl
+CCOC(=O)C1=CC=C(C=C1)OCCC2=NC(=NO2)C3(CCC3)NC
+CC1=CC(=C(N1CC2=CC=CC=C2)C)C3=NC(=NO3)CC(C)NC.Cl
+CC(C)N(CC1=NOC(=N1)C2=CC=CC3=C2NCC3)CC(=O)NC(C)C.Cl
+C1CC(C1)(C2=NOC(=N2)CSCC3=CC=CC=C3)NCC(F)(F)F.Cl
+C1CCC(C1)CC2=NOC(=N2)CCNC(=O)C3=CC4=C(C=C3)OCO4.Cl
+COC1=C(C=C(C=C1)C2=NOC(=N2)C3=CC(=C(C=C3)OCC4=CC=CC=C4)OC)OC.Cl
+CCCC(CC)C(=O)NC1=CC=C(C=C1)OCC(=O)NCC3=NC(=NO3)CC(C)NC.Cl
+CC(CC1=NOC(=N1)C2=CC(=CC=C2)OCC3=CC=CC=C3)NC
+CC(=O)NC(CC1=NOC(=N1)C2(CCC2)NC(=O)NC3=CC=CC=C3)C(C)(C)NC.Cl
+CC(CC1=NOC(=N1)CS(=O)(=O)C2=CC=CC(=C2)C3=CC=CC=C3)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CC3=CC(=CC(=C3)F)Br)NC
+CC(CC1=NOC(=N1)C2=CC=CC=C2OCC(=O)N)NC.Cl
+COC1=C(C=C(C=C1)C2=NOC(=N2)C3=CSC(=N3)CC(C)C)NC.Cl
+CC(CC1=NOC(=N1)C2=C(C=C(C=C2)S(=O)(=O)C)C(F)F)NC.Cl
+CC(CC1=NOC(=N1)C2=CC=CC=C2NS(=O)(=O)C3=CC(=CC=C3)F)NC
+CC1=C(C=CC(=C1)C(=O)N2CCCCCC2C3=NC(=NO3)CC(C)NC)OC.Cl
+CC(C)CN(CCC(C)C)CC1=NC(=NO1)C2(CCC2)NC.Cl
+CC1=C(C(=NO1)CC)CS(=O)(=O)NCC(C)NC.Cl
+CC1=C(C=CC(=C1)C(F)(F)F)C2=NC(=NO2)CC(C)NC
+C1CC(C1)(C2=NOC(=N2)COCCOC3=CC=CC=C3OCC4=CC=C(C=C4)F)NC.Cl
+CCOC(=O)CCCC1=NOC(=N1)C2(CCC2)NCC3=CC(=CC=C3)F
+C1CC(C1)(C2=NOC(=N2)CCN3C=NN=C3)NC
+CC(CC1=NOC(=N1)C2CC(=O)N(C2)C3=CC=C(C=C3)Br)NC
+CC(CC1=NOC(=N1)CC2=CC=C(C=C2)NC(=O)C3=CC=CO3)NC
+CC(CC1=NOC(=N1)C2CCCN(C2=O)CC3=CC=CC=C3)NC.Cl
+CC(CC1=NOC(=N1)C2=NNC(=N2)C3=CC=C(C=C3)SC)NC(=O)C4CCCCC4.Cl
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)OC(F)F)NC.Cl
+CC(CC1=NOC(=N1)C2CC2C3=CC=CC(=C3)C(F)(F)F)NC
+CC(C1=NOC(=N1)CS(=O)(=O)C2=CC=C(C=C2)Cl)NC
+CC(C)C(C1=NOC(=N1)C2=CC(=CC=C2)OCC3=CC=CC=C3)NC.Cl
+CC(CNC(=O)C1CCCN(CC1)C2=C(C=C(C=C2)OC(F)F)OC)NC
+C1CC(C1)(C2=NOC(=N2)C3=CC=C(C=C3)NS(=O)(=O)CC(F)F)NC
+C1CC(C1)(C2=NOC(=N2)CCC3=NOC(=N3)CCC4=CC=CC=C4)NCC(F)(F)F.Cl
+CC(CC1=NOC(=N1)C2CCN(CC2)C3=CC(=CC=C3)Br)NC
+CC1(CCCN(C1)CC2=CC=CC3=C2NCC3)CC(=O)NC(C)(C)C
+CCN(CCC(=O)NC1=NC(=NO1)CC(C)NC)C2=CC=C(C=C2)C(F)(F)F.Cl
+CC(C1=NOC(=N1)C2=CC(=C(C=C2)OC)OC(F)F)NC
+CC(C)C1=NC(=NO1)CSC2=CC=C(C=C2)C3=NC(=NO3)CC(C)NC.Cl
+C1CC(C1)(C2=NOC(=N2)C3=C(C=C(C=C3)CC(F)(F)F)Br)NCCOC
+CC(C)NS(=O)(=O)C1=CC=C(C=C1)C2=NC(=NO2)CC(C)NC
+CC1CC(CCC1)NC(=O)C2=CC=CC=C2C3=NC(=NO3)CC(C)NC
+CN(CC1=NOC(=N1)COC2=CC=CC=C2Cl)CC3=CC=C(S3)Br
+CCN(CCCC1=NOC(=N1)C2=CC=C(O2)CC3=CC=CC=C3)CC(F)(F)F.Cl
+CN(CC1=NOC(=N1)C(C)OC)C(=O)NCC2(CCOC2)C3=CC=CC=C3
+CC(CC1=NOC(=N1)C2=C(C=CC(=C2)NC(=O)C3=CC=CC=C3)OC)NC.Cl
+CC1=CC=CC=C1C2CC(C2)(C)C3=NC(=NO3)CC(C)NC
+C1CC(C1)(C2=NOC(=N2)CCCSCC3=CC=CC=C3)NC
+CC1=NC(=NN1C2=C(C=C(C=C2)Br)Cl)C3=NC(=NO3)CC(C)NC
+CC(CC1=NOC(=N1)CCC2=CC=CC=C2OC(F)F)NC
+C1CC(C1)(C2=NOC(=N2)CCOC3=C(C=CC(=C3)F)F)NC
+CC1=C(C(=NO1)C)CSCC2=NC(=NO2)C3(CCC3)NC
+C1CC(C1)(C2=NOC(=N2)CC3=CC=CC=C3Cl)NC
+CCCN(CC)S(=O)(=O)C1=C(C=CC(=C1)C2=NC(=NO2)CC(C)NC)OC
+CC(CC1=NOC(=N1)CC2=CSC(=N2)C3=CC=C(C=C3)OC)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCNC(=O)C3=CC=CC=C3OC(F)F)NC
+CC(CC1=NOC(=N1)C2=CC(=C(C=C2OC)OC)S(=O)(=O)N)NCC3CC3.Cl
+C1CC(N(C1)CN2CCC(CC2)C3=CC=C(C=C3)OCC(F)(F)F)C(=O)NC4CCCNC4
+C1CC(C1)(C2=NOC(=N2)CNC(=O)CC3=CC=CC=C3)NC
+CC(CC1=NOC(=N1)C2CCCN(C2)C(=O)C3=CC(=CC=C3)F)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCC3=CC=C(C=C3)NC(=O)CC(F)(F)F)NC
+C1CC(C1)(C2=NOC(=N2)CCC3=CONN=C3)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCNS(=O)(=O)C3=CC=C(C=C3)C(F)(F)F)NC
+CC(C1=NOC(=N1)CCC2=NC=CN2C(F)(F)F)NC.Cl
+CC(CC1=NOC(=N1)C2=CC(=CC=C2)OCC(F)(F)F)NC
+C1CC(C1)(C2=NOC(=N2)CCC3=CC=C(S3)Br)NC
+COC1=C(C=C(C=C1)CC2=NOC(=N2)CCC3=NC(=NO3)CC(C)NC)OC
+C1CC(C1)(C2=NOC(=N2)CNS(=O)(=O)C3=CC4=C(C=C3)OCCO4)NC.Cl
+CC(CC1=NOC(=N1)CN(C)CC2=CC=C(C=C2)OC)NC.Cl
+CC(C1=NOC(=N1)CN(CC(=O)NC(CC)OC)CC(=O)OC)NC.Cl
+CN(C)C1=CC=C(C=C1)S(=O)(=O)NCC2=NC(=NO2)C3(CCC3)NCC.Cl
+CC1=C(C=C(C=C1)S(=O)(=O)NCC(C)NC)S(=O)(=O)NC2=CC=C(C=C2)OCC.Cl
+CC(CC1=NOC(=N1)C2=CC(=CC=C2)S(=O)(=O)N(CC)C)NC
+CC(C1=NOC(=N1)C2CCCN(C2=O)C3=CC=C(C=C3)OC)NC.Cl
+COC1=CC(=C(C=C1)OC2=CC(=CC=C2)OC)C3=NC(=NO3)CC(C)NC.Cl
+CCC(C)(C1=NOC(=N1)C2=CC=C(S2)C(F)(F)F)NC
+CC1CCC2=C(C1)SC(=N2)CCC3=NC(=NO3)CC(C)NC
+CC(CC1=NOC(=N1)C(CC2=CC=CC=C2)NC(=O)NC(C)C)NC
+CC(CC1=NOC(=N1)CN(C)S(=O)(=O)CC2=CC=CC=C2)NC.Cl
+CC(C1=NOC(=N1)C2=CC=CS2)NC(=O)CCC3=NC(=NO3)CC(C)NC.Cl
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)SC(F)F)NC
+CC(CC1=NOC(=N1)CN2C(=O)C3=C(C2=O)C=CC(=C3)Br)NC
+COC1=CC=CC(=C1)NC(=O)C2(CCC2)C3=NC(=NO3)CC(C)NC
+CNC(=O)C1=CC=C(O1)C2=NC(=NO2)CC(C)NC
+CC1=CC(=C(C=C1)C)OC(CC2=NOC(=N2)C3=CC(=CS3)Br)NC
+CC(C)(C1=NOC(=N1)CNC(=O)C2=CC=C(S2)SC)NC.Cl
+CCOC1=C(C=C(C=C1)C2=NC(=NO2)CC(C)NC)OCC3CCCCCC3.Cl
+C1CC(C1)(C2=NOC(=N2)SCC3=CC=C(C=C3)F)NC.Cl
+CC(CC1=NOC(=N1)CN2C(=O)CN(CC2)CCOC3=CC=CC=C3)NC.Cl
+CN(CC1=CC=CS1)CC2=CC=C(O2)C3=NC(=NO3)CC(C)NC
+CC(C)COC1=C(C=C(C=C1)CC2=NOC(=N2)CC3=CC=C(C=C3)OC)NC.Cl
+CC(=O)N(CC1=NOC(=N1)C2=CC=C(C=C2)OCC3=CC=C(C=C3)Cl)C3CC3
+CC1=CC(=CC=C1)N2C(=C(C=N2)C3=NC(=NO3)CC(C)NC)C
+C1CC(C1)(C2=NOC(=N2)CCC3=CC=C(C=C3)F)NC
+CC(C1=NOC(=N1)C2=CC(=C(C=C2)F)F)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCSCC3=CC=CC=C3)NC
+CC1=C(C(=NO1)C)S(=O)(=O)NC2=CC=C(C=C2)C3=NC(=NO3)CC(C)NC.Cl
+CC(C1=CC2=C(C=C1)OCCO2)C3=NC(=NO3)CC(C)NC
+CN(CC1=NOC(=N1)C2=CC=CC=C2N3C=CC=N3)CC4=CC=CC=C4Cl
+CC1=C(C(=NN1C2=CC=C(C=C2)F)C)C3=NC(=NO3)CC(C)NC
+CC(C)(C1=CC=C(C=C1)Cl)C2=NC(=NO2)C3(CCC3)NC
+CC(C)C(C1=NOC(=N1)CC2=CC=CC=C2C3=CC=CC=C3)NC
+CCOC1=C(C=C(C=C1Cl)C2=NC(=NO2)CC(C)NC)OC.Cl
+CC(C1=NOC(=N1)C2(CCCC2)C3=CC=CC=C3)NC
+CC(C1=NOC(=N1)C2=CC=CC=C2N3C=CC=N3)NC
+CC(C1=NOC(=N1)C2=CC=C(C=C2)S(=O)(=O)NCC3=CC=CC=C3)NC.Cl
+CCC(CC)N1C2=CC=CC=C2C(=C1CC3=NC(=NO3)CC(C)NC)CC(=O)NC.Cl
+CC(C(=O)NCC1=NC(=NO1)C2(CCC2)NC(=O)NCC(C)(C)C)NC.Cl
+CC(CC1=NOC(=N1)C2=CC(=CC=C2)OCC3=CC=CC=C3F)NC
+CCC1=C(C=C(O1)C(=O)NCCC2=NC(=NO2)C3(CCC3)NC(=O)C)OC.Cl
+C1CC(C1)(C2=NOC(=N2)CCC(=O)CCC3=CC=CC=C3)NC
+C1CC(C1)(C2=NOC(=N2)CCCOC3=CC=CC=C3Br)NCC(=O)N.Cl
+CC(C)(CN1CCC(CC1)OCCOC)NC.Cl
+CC1=CC(=C(C=C1)C)S(=O)(=O)NCC2=NC(=NO2)CC(CC)NC.Cl
+CCC1=C(C=C(O1)C2=NOC(=N2)CCNC(=O)CCC3CCCCC3)NC.Cl
+CN1C(=CC=C1C2=NC(=NO2)C3(CCC3)NC(=O)CC(C)(C)C)NC.Cl
+CC1=NOC(=C1)C2=NOC(=N2)CN(CC3=CC=CC=C3C(C)C)CC4=CC=CC=C4.Cl
+CC1=C(C=CC(=N1)C2=NC=CO2)C3=NC(=NO3)CC(C)NC.Cl
+CC(=O)NC1=CC2=CC=CC=C2CN(C1)CC3=NC(=NO3)CC(C)NC.Cl
+CCC1=C(C=C(C=C1)C(=O)N2CCCC2C3=NN=C4N3CCNC4)OCC.Cl
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)NC(=O)C3=C(C=CS3)C(F)(F)F)NC.Cl
+C1CC(C1)(C2=NOC(=N2)C3CC(=O)N(C3)CC(F)(F)F)NC(=O)O
+CC(CC1=NOC(=N1)CSC2=CC=CC=C2)NCC3=CC=CC=C3C(F)(F)F.Cl
+CC1=C(C(=CC=C1)C2(CCCC2)C3=NC(=NO3)CCC4=NC(=NO4)CC(C)NC)C.Cl
+CC1=NC=C(C=C1)N2C=CC(=N2)C3=NC(=NO3)CC(C)NC.Cl
+CC(CC1=NOC(=N1)CSC2=CC=C(C=C2)OC(F)(F)F)NC.Cl
+CC(C1=NOC(=N1)COC2=CC=CC=C2C(=O)C3=CC=CO3)NC
+C1CC(C1)(C2=NOC(=N2)CCOCC3=CC=CC=C3Cl)NC.Cl
+CC1=CC=CC=C1OCC2=CC(=CC=C2)C3=NC(=NO3)CC(C)NC
+CCN(CC)CCOC1=CC=C(C=C1)C2=NC(=NO2)CC(C)NC
+CC1=C(C(=NO1)C)COC2=CC=CC=C2CC3=NC(=NO3)CC(C)NC
+C1CC(C1)(C2=NOC(=N2)CCNC(=O)C3=CC=C(C=C3)F)NC.Cl
+CC1=C(SC(=N1)C2=CC=CC=C2)C3=NC(=NO3)CC(C)NC
+CC(C)(C)C1=NOC(=N1)CCC2=NC(=NO2)C3(CCC3)NC
+CC(CC1=NOC(=N1)CCNC(=O)CC2=CC=CC=C2)NC.Cl
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)S(=O)(=O)N3CCCC3)NC
+CC(C1=NOC(=N1)C2=CC=CC=C2C3=CNC4=C3C=CC(=C4)C(F)(F)F)NC.Cl
+C1CCC(C1)OC2=C(C=C(C=C2)Cl)C3=NC(=NO3)CC(C(F)(F)F)NC(=O)NCC4CC4
+CCCCC1=NOC(=N1)CN(CC)CC2=CC=CC3=C2NCC3
+CC1=NN(C=C1C2=NC(=NO2)CC(C)NC)CC3=CC=CC=C3
+CC1CCCN(CC1)S(=O)(=O)C2=CC=C(C=C2)C3=NC(=NO3)CC(C)NC
+CC(CC1=NOC(=N1)CCC2=CC=CC=C2OC)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCC3=COC4=CC=CC=C43)NC
+CC(CC1=NOC(=N1)C2=C(C=C(C=C2)OC)NC(=O)C3(CCC3)NC(=O)C)NC.Cl
+CC1=C(N=C(O1)C2=CC=CC=C2OC)CC3=NC(=NO3)CC(C)NC.Cl
+CC(C1=NOC(=N1)CS(=O)(=O)C2=CC=C(C=C2)C3=NSC=C3)NC
+C1CC(C1)(C2=NOC(=N2)CCSCCC3=C(C(=CC=C3)Cl)Cl)NCC(=O)O
+CC(C)(C1=NOC(=N1)CSCC(=O)NC)NC
+C1CC(C1)(C2=NOC(=N2)CCNS(=O)(=O)C3=CC(=C(C=C3)Cl)Cl)NC
+CC1=CC(=C(O1)S(=O)(=O)N2CCN(CC2)CCOC)CCC3CCNCC3.Cl
+COC1=CC(=C(C(=C1)C2=NOC(=N2)CNC(=O)C3CCCC3)OC)OCC.Cl
+CC1=NC(=O)N(C(=N1)CC2=NC(=NO2)C3(CCC3)NC(=O)C4=CC=CC=C4)C(C)NC
+CC1=CC(=C(C=C1)C)SC(C2=NC(=NO2)C3(CCC3)NC)NC(=O)C
+CC1=CC(=CC(=C1OC)OC)NC(=O)CCC2=NC(=NO2)CC(C)NC
+C1CC(C1)(C2=NOC(=N2)C3=CC(=C(C=C3)S(=O)(=O)N)[N+](=O)[O-])NC.Cl
+CC1=C2C(=CC=C1)OC(=C2)CC(=O)NCC3=NC(=NO3)CC(C)NC.Cl
+CC(CC1=NOC(=N1)C2=C(C=CC(=C2)OC)S(=O)(=O)NC3CCC3)NC.Cl
+CC(C)C(C1=NOC(=N1)C2=C(C=CS2)C3=CC=CC=N3)NC.Cl
+CC(C)C(C1=NOC(=N1)C2=NNNC(=N2)C3=CC=C(C=C3)NC(=O)CC4CC4)NC.Cl
+CC(C1=NOC(=N1)CC2=CC(=C(C=C2)OC(F)(F)F)F)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCC3=NOC(=N3)CC4=CC=C(C=C4)C(F)(F)F)NC.Cl
+CC(C)C1=CC=C(C=C1)S(=O)(=O)NCC2=NC(=NO2)CC(C)NC.Cl
+CC(C1=NOC(=N1)C2=CC=CC(=C2)CC3=CSC=C3)NC.Cl
+CC(CC1=NOC(=N1)CCNC(=O)C2=CC=CC=C2)NC
+COC1=CC(=C(C=C1)SCC2=NOC(=N2)CC3=CC=C(C=C3)Cl)OC
+COCCCN(CC1=NC(=NO1)CC2(CCC2)N)CC3=CC=CC=C3Cl.Cl
+CCC(CCC1=NOC(=N1)C2=C(C=CC(=C2)OC)F)NC
+C1CC(C1)(C2=NOC(=N2)CCNS(=O)(=O)C3=CC4=C(C=C3)OCO4)NC
+CC(CC1=NOC(=N1)C2=CC=CC=C2OCC3=CC=C(O3)C(F)(F)F)NC.Cl
+CC(CC1=NOC(=N1)C2=C(C=CC(=C2)Cl)OC)NC
+CC(C1=NOC(=N1)C2=CC(=C(C=C2)OC)OC3=CC=CC=C3)NC.Cl
+CNC(=O)C1=CC(=C(C=C1Cl)OCC2=NC(=NO2)CC(C)NC)OC.Cl
+CC1=NC=C(C=C1)C(=O)NC2=CC=CC(=C2)C3=NC(=NO3)CC(C)NC
+CC(CC1=NOC(=N1)C2=CC=CC=C2OC(F)F)NC.Cl
+CC(CC1=NOC(=N1)C2=C(C(=NO2)C)SC3=NC=C(C=C3)[N+](=O)[O-])NC
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)CN3CCOCC3)NC
+CC1=CC=C(C=C1)COCC2=NOC(=N2)CCC3=NC(=NO3)CC(C)NC
+C1CC(C1)(C2=NOC(=N2)C3CCN(CC3)CC4=CC=CO4)NC
+CC(C1=NOC(=N1)CS(=O)(=O)C2=CC=CC=C2Cl)NC
+CC(C1=NOC(=N1)C2=CC(=CC=C2)NC(=O)NC3=CC=C(S3)Br)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CNC(=O)CC3=CC=CC=C3)NC(=O)CC4CCCO4.Cl
+C1CC(C1)(C2=NOC(=N2)COC3=CC=C(C=C3)OC(F)F)NCC(F)(F)F.Cl
+CCN(CCC1=NOC(=N1)C2=CC(=CC=C2)OC(F)F)C3CC3
+CN(C1=CC=CC=C1)C2=NC=C(C=C2)C3=NC(=NO3)CC(C)NC.Cl
+CC1=C(C=C(C=C1)SCC2=NC(=NO2)C3(CCC3)NC(=O)C4=CC(=CC=C4)Cl)C
+CC1=CC=C(O1)C(=O)NC2=CC(=CC(=C2)C3=NC(=NO3)CC(C)NC)F.Cl
+CC(C1=NOC(=N1)CC(C2=CC=CC=C2)NC(=O)N3CCOCC3)NC
+CN(CC1=NOC(=N1)C2=CC=CS2)C3=NC4=C(S3)C=C(C=C4)F.Cl
+CC(C)C1=NOC2=C1C=C(C=N2)C3=NC(=NO3)C4(CCC4)NC
+CC(C1=NOC(=N1)CC2=CC(=C(C=C2)OC)OCC3=CC=CC=C3)NC
+CC(CC1=NOC(=N1)CC2=CSC(=N2)C(F)(F)F)NC.Cl
+CC1=C(C(=NO1)C2=CC=C(C=C2)OC)NC(=O)C3=CC=CC(=C3)CC4=NC(=NO4)CC(C)NC.Cl
+CC(CC1=NOC(=N1)C2=CC(=C(C=C2)OC)OC)NC.Cl
+C1CC(C1)(C2=NOC(=N2)C3=CN(N=N3)CC(F)(F)F)NC
+C1CC(C1)(C2=NOC(=N2)CCNC3=C(C(=CC=C3)Cl)Cl)NC(=O)CCN.Cl
+COC1=CC=C(C=C1)C2=NC(=NO2)CC(=O)NCC3=NC(=NO3)CC(C)NC
+CCN(CC)S(=O)(=O)C1=C(C=CC=C1Cl)C2=NC(=NO2)CC(C)NC.Cl
+COC(=O)C1=CC=C(C=C1)OCC2=NC(=NO2)CC(C)NC.Cl
+CC1=C(C=NN1CC2=CC=C(C=C2)OCC3=CC=C(C=C3)Cl)S(=O)(=O)NCCOC
+CC(CC1=NOC(=N1)CCC2=CC=CC=C2NC(=O)C3=CC=C(C=C3)OC)NC
+CC(C)OC1=CC=CC(=C1)OCCC2=NC(=NO2)CC(C)NC.Cl
+CCC1=C(C=C(O1)C2=NC(=NO2)CC(C)NC)C3=CC=CC=C3Cl.Cl
+CC1=C(C(=NO1)CCC2=NC(=NO2)C3(CCC3)NC(=O)CC(C)NC)C.Cl
+C1CC(C1)(C2=NOC(=N2)C3=CC(=C(C=C3)Cl)Cl)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCC3=CC=CS3)NC
+CC1=NN(C2=C1C=C(S2)C3=NC(=NO3)CC(C)NC)C(C)C
+CC1=C(SC=C1)C(=O)N2CCC(C2)C3=NC(=NO3)CC(C)NC.Cl
+CCC(CC)NC(=O)CCC1=NC(=NO1)CC(C)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCC(=O)C3=CC(=C(C=C3)OC(F)F)F)NC
+COC1=CC(=C(C=C1)Cl)C2=NC(=NO2)CC(C)NC
+CC1=NC2=CC=CC=C2N1C(=O)C3=CC=C(C=C3)CC(=O)NCC4=NC(=NO4)CC(C)NC
+CC1=C(C=C(C=C1)C2=NOC(=N2)CCCC3=NC(=NO3)CC(C)NC)C
+C1CC(C1)(C2=NOC(=N2)C3=CN=C(C=C3)OCCC(F)(F)F)NC
+C1CC(C1)(C2=NOC(=N2)C3=NC=CS3)NC.Cl
+CCCN(CC)C1=NC=C(C=C1)CC2=NOC(=N2)C3=CC4=C(C=C3)OCCCO4.Cl
+C1CC(C1)(C2=NOC(=N2)CC3=CC(=CC=C3)OCC4CCOCC4)NC.Cl
+CC(C)C(=O)N(CCC1=NOC(=N1)C2=CC=C(C=C2)F)C(C)OCC3=CC=CC=C3
+CC(CC1=NOC(=N1)CC2=CC(=CC=C2)OCC3=CC=CC=C3)NC.Cl
+CC(CC1=NOC(=N1)CSC2=CC=CC=C2)NC.Cl
+C1CC(C1)(C2=NOC(=N2)C3=CC=C(C=C3)CNC(=O)NCC4=CC=C(C=C4)F)NC
+CC(CC1=NOC(=N1)C2=CC(=C(C=C2)NS(=O)(=O)C)Br)NC
+CC(CC1=NOC(=N1)CC2=CC(=CC=C2)OCC3=CC=CC=C3)NC.Cl
+CC1=NN(C=C1C2=NC(=NO2)CC(C)NC)CC3=CC=C(C=C3)C.Cl
+CCC(CC1=NOC(=N1)C2=CC=CN2C(F)(F)F)NC
+CC(CC1=NOC(=N1)C2=CC=CC=C2SC3=NC(=CO3)CC(F)(F)F)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCNC(=O)C3=CC=C(C=C3)Cl)NC.Cl
+CC1=C(C(=NN1CC2=CC=CC=C2Cl)C)CC3=NC(=NO3)CC(C)NC
+CC(CC1=NOC(=N1)CN(C)CC2=NC=CN2C3=CC=C(C=C3)OC)NC.Cl
+CC(CC1=NOC(=N1)C2=CC(=C(C=C2)OC)OC3=CC=C(C=C3)Cl)NC
+CC1=C(C=CC(=C1)OC)C2=NC=C(C=C2)CCC3=NC(=NO3)CC(C)NC.Cl
+CC1=C(SC(=N1)C2=CC=CC=C2)C3=NC(=NO3)CC(C)NC
+CC1=C(SC(=C1)NC(=O)C2=CC=C(C=C2)C3=NC(=NO3)CC(C)NC)C
+CC(CC1=NOC(=N1)CSC2=CC=C(C=C2)Br)NCC3CCCC3.Cl
+CC1=C(C=C(C=C1)SC(C)C2=NC(=NO2)CC(C)NC)C3=CC=CC=C3Cl
+C1CC(C1)(C2=NOC(=N2)CC3CC(=O)N(C3)CC4=CC=C(C=C4)F)NC.Cl
+CC(CC1=NOC(=N1)C2=CC=CC=C2NC(=O)NCC3=CC=C(O3)C(=O)OC)NC
+C1CC(C1)(C2=NOC(=N2)CSCC3=CNC4=CC=CC=C43)NCC(=O)N
+C1CC(C1)(C2=NOC(=N2)CCC(=O)C3=CC=CC=C3)NC
+C1CC(C1)(C2=NOC(=N2)CCOC3=CC=CC4=CC=CC=C43)NC.Cl
+C1CC(=O)N(C1=O)CCCC2=NC(=NO2)CC(C3=CC=CC=C3)NCC(=O)OC
+COC1=CC=CC(=C1)OCC2=NOC(=N2)C3=CC(=C(C=C3)OCC4CC4)Cl.Cl
+C1CC(C1)(C2=NOC(=N2)CCCSC(F)(F)F)NCC3=CC=CC=C3
+C1CC(N(C1)CC(C2=CC=CC=C2)OCC3=CC=CC=C3F)C(=O)NCCOCC4=CC=CC=C4.Cl
+CC(C1=NOC(=N1)CC(C)(C)NC(=O)C2=CC=CC=C2)NC.Cl
+CC1=C(C=NC=C1)C2=NC(=NO2)CC(=O)NC3=CC=CC=C3C(C)NC.Cl
+CCC(CC)OC1=CC=C(C=C1)CCC2=NC(=NO2)CC(C)NC
+CC1=CC=C(C=C1)N2CC(CC2=O)C3=NC(=NO3)CC(C)NC.Cl
+C1CC2=C(C1)C=C(O2)CCCC3=NC(=NO3)CC(C(F)(F)F)NCC(=O)O
+COC1=CC=CC=C1C2CCCN(C2)CC3=NC(=NO3)CC(C)NC
+CC(C1=NOC(=N1)C2=CC=C(C=C2)NC3=CC(=NC=C3)S(=O)(=O)NC)NC
+CC(C)C(C1=NOC(=N1)C2=C(C=CC=C2F)F)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCOC3=CC=CC(=C3)C(F)(F)F)NC
+COC1=C(C=C(C=C1)C2=NOC(=N2)/C=C/C3=CC=C(C=C3)CC(=O)NC(C)NC)OC.Cl
+COCCN(CC1=NOC(=N1)C2=C(C=CC(=C2)Cl)OC)CC(F)(F)F.Cl
+CCOC1=CC=CC=C1C2=NOC(=N2)CCC3=NC4=C(O3)C=C(C=C4)F
+CC(C)OC1=C(C=C(C=C1)C2=NC(=NO2)CC(C)NC)OC3=CC=C(C=C3)C
+CC(C1=NOC(=N1)C2=CC=C(C=C2)CSC3=CC=CC=C3)NC.Cl
+CC(C1=NOC(=N1)C2=CC(=CC(=C2)Cl)Cl)NC.Cl
+CC(CC1=NOC(=N1)CSC2=CC=C(C=C2)Cl)NC
+CC1=CC(=CC=C1)OCC2=NOC(=N2)CCCC3=NC(=NO3)CC(C)NC.Cl
+CC(CC1=NOC(=N1)C2=CC=C(C=C2)NC(=O)NC3=CC=CC=C3)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCCOC3=CC=C(C=C3)C(F)(F)F)NC.Cl
+CC1=C(OC2=CC=CC=C12)C3=NC(=NO3)CC(C)NC.Cl
+CC(C1=NOC(=N1)COC2=CC=CC=C2F)NC
+CCOC1=C(C=C(C(=C1)C2=NOC(=N2)CC(C)NC)OC)OCC3CCCO3
+CC1=C(C(=NN1C2=CC=CC=C2Cl)C)C3=NC(=NO3)CC(C)NC
+CC1=C(C=C(C=C1)C2=NOC(=N2)CCC3=NC(=NO3)CC(C)NC)OC
+CC(=O)N(C)CCC1(CCCC1)C2=NC(=NO2)CC(C)NC.Cl
+COCCC1=C(C=C(C=C1)C2=NC(=NO2)CC(C)NC)OCC3CCCNC3
+CC(CC1=NOC(=N1)C2(CCC2)C3=CC(=CC=C3)Cl)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CNC(=O)C3=CC=C(C=C3)S(=O)(=O)NC(F)F)NC.Cl
+CCC1=C(C=C(O1)C2=NC(=NO2)CC(C)NC)Br.Cl
+CC1=C(C(=NO1)C)COC2=CC=CC(=C2)CCC3=NC(=NO3)CC(C)NC
+CC(C)C(C1=NOC(=N1)C2=CC(=CC=C2)C(F)(F)F)NC
+CC(C1=NOC(=N1)CC(C)OCC2=CC=CC=C2OC)NC
+CC(C1=CC=C(C=C1)OC)C(=O)N2CCN(CC2)CC3=CC=CC4=C3NCC4
+CC(CC1=NOC(=N1)C2CCN(CC2)CC(=O)C3=C(C=C(C=C3)F)F)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCOC3=CC(=C(C=C3)Cl)[N+](=O)[O-])NC
+C1CC(C1)(C2=NOC(=N2)CCC3=CC=C(C=C3)CNC(=O)C4CC(F)(F)F)NCCO4.Cl
+COC1=CC(=C(C=C1Br)C2=NC(=NO2)CC(=O)NC3=CC=CC=C3Cl)NC.Cl
+CC(CC1=NOC(=N1)C2=CC=CC=C2OCC3=CC=CC=C3)NC.Cl
+CC(C)(C)C1=NOC(=N1)CCC2=NC(=NO2)C3(CCC3)NC
+C1CC(C1)(C2=NOC(=N2)C3=CC(=NN3C4=CC=CC=C4)C(F)(F)F)NC
+CC(C1=CC(=CC=C1)C(F)(F)F)C2=NC(=NO2)CC(C)NC.Cl
+COC1=CC=CC=C1C2(CCCC2)C3=NC(=NO3)CC(C)NC
+CC(C)C1=CC=C(C=C1)N2C(=CC(=N2)C3=CC=CC=C3)CC4=NC(=NO4)CC(C)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCSCC3=CC=C(C=C3)Cl)NC.Cl
+CCOC1=C(C=C(C=C1)C2=NOC(=N2)CCSC3=NC=CS3)NC.Cl
+CC(CC1=NOC(=N1)C2=CC=CC3=CC=CC=C3NC2=O)NC
+CCN(CCCC1=NOC(=N1)C2=CC=C(C=C2)S(=O)(=O)NCC(F)F)C(C)NC
+C1CCC(CC1)C(=O)NCCC2=NC(=NO2)C3(CCC3)NC.Cl
+CC(CC1=NOC(=N1)CN(CCOC2=CC=CC=C2)C(F)(F)F)NC
+C1CC(C1)(C2=NOC(=N2)CNC(=O)CCC3=CC=C(C=C3)F)NCC4=CC=CC=C4
+CC(C1=NOC(=N1)CCNC(=O)C2=CC=CC=C2C3=CC=CC=C3)NC
+CC(CC1=NOC(=N1)CCSC2=CC=CC=C2F)NC.Cl
+COC(=O)C1=CN(N=C1C2=NC(=NO2)CC(C)NC)C3=CC=CC=C3.Cl
+CCOC1=C(C=C(C=C1)C2=NC(=NO2)CC(C)NC)OCC3CCCC3.Cl
+C1CC(C1)(C2=NOC(=N2)C3=CC=CC=C3SC(F)F)NC.Cl
+CCC(CC)(C1=NOC(=N1)CC2=CSC=C2)NC.Cl
+CC(C)OC1=C(N=C(S1)C2=CC=C(C=C2)Cl)C3=NC(=NO3)CC(C)NC.Cl
+CC(CC1=NOC(=N1)CN2C(=O)C3(CCC3)NC2=O)NC.Cl
+CCC(CC1=NOC(=N1)CCN2C(=O)C3CCCC3C2=O)NC
+C1CC(C1)(C2=NOC(=N2)CNC(=O)NC3=CC=CC=C3)NC.Cl
+CCC1=C(C(=NO1)CCC2=NC(=NO2)C3(CCC3)NC(=O)CC)C
+CC(CC1=NOC(=N1)CN2C(=O)CC3=CC=CC=C3C2=O)N(C)CC.Cl
+CN(CC1CCCNC1)CC2=C(C=CC(=C2)Cl)[N+](=O)[O-].Cl
+CCC1=C(C=CC(=C1)C2=NOC(=N2)CNC(=O)CC3CCCNC3)C
+CC(CC1=NOC(=N1)C2=C(C=C(C=C2)OC)OCC3CC3)NC.Cl
+CC(CC1=NOC(=N1)CCC(=O)C(C)OC)NCC
+CC(C1=CC(=CC=C1)OC)CC2=NOC(=N2)C(C)NC
+CC(C)CC(=O)N1CCC(CC1)C2=NC(=NO2)CC(C)NC.Cl
+C1CC(C1)(C2=NOC(=N2)CCC(C(F)(F)F)NC(=O)C3=CC=CC=C3)NC(=O)NCCO
+CCC(CC)OC1=CC=C(C=C1)C(=O)NCCC2=NC(=NO2)CC(C)NC
+CC(C1=NOC(=N1)CC2=CC=CS2)NC.Cl
+CN(CC1=CC(=C(C=C1)[N+](=O)[O-])OC)CC2=NC(=NO2)CC(C)NC
+CC(CC1=NOC(=N1)C2CCN(CC2)C(=O)CC3CC3)NC.Cl
+CCCC(CC1=NOC(=N1)C2=CC=CC=C2CN3C=CC=N3)NC.Cl
+CC(CC1=NOC(=N1)C2=C(C=CC(=C2)NC(=O)C)NC(=O)C3CC3)NC
+CC(CC1=NOC(=N1)C2=CC(=C(C=C2)S(=O)(=O)C)OC)NC
+CC(C)C1=CC(=NN1CC2=NOC(=N2)CCC3=CN(N=N3)CC4=CC=CC=C4)NC
+C1CC(C1)(C2=NOC(=N2)CCCCOCC3=CC=CC=C3)NC.Cl
+CC(CC1=NOC(=N1)C2=C(C=C(C=C2)S(=O)(=O)N)Br)NC
+CC1=C(C=NN1C2=CC=C(S2)C3=NC(=NO3)CC(C)NC)[N+](=O)[O-]
+C1CC2=C(C1)C=C(C=C2)CCC3=NC(=NO3)CC(C(F)(F)F)NCCOC.Cl
+CC(C1=NOC(=N1)C2CC3CCC2CCN3C(=O)CCC(=O)NC4CC4)NC
+C1CC(C1)(C2=NOC(=N2)CCOCC3=CC(=CC=C3)Cl)NC.Cl
+CC(C)CC1=NOC(=N1)CC2=CC=C(C=C2)C3=NOC(=N3)CCC4=NC(=NO4)CC(C)NC
+CC(C1=NOC(=N1)C2=CC=CC=C2OCC3=CC=C(C=C3)F)NC.Cl
+CC(C1=NOC(=N1)CCC2=CC=C(C=C2)OC)N(CC3=COC=C3)NC.Cl
+CC(CC1=NOC(=N1)CC2=C(C=CS2)OC3CC3)NC.Cl
+C1CC(C1)(C2=NOC(=N2)C3=CC(=C(C=C3)F)C(F)(F)F)NC.Cl
+C1CCC(CC1)CC2=NOC(=N2)CCC3=NC(=NO3)C(CCC4=CC=CC=C4)NC(=O)C5CC5
+CC1=C(C(=NO1)C)COC2=C(C=CC=C2Cl)C3=NC(=NO3)CC(C)NC
+C1CC(C1)(C2=NOC(=N2)C3=CC=CC(=C3)S(=O)(=O)C4=CC=CC=C4)NC.Cl
+CC(CC1=NOC(=N1)C2=COC(=N2)CCC3=CC=C(C=C3)OC)NC
+CC(CC1=NOC(=N1)C2CN(CCOC2)CC(F)(F)F)NC.Cl
+C1CC(C1)(C2=NOC(=N2)C3=CC4=C(NCC4=O)C=C3)NC.Cl
+CC(CC1=NOC(=N1)CC2=CC(=CC=C2)OC3=CC=CC=C3F)NC
+CC1=C(SC2=C1C=CC(=C2)Br)C3=NC(=NO3)CC(C)NC
+COC1=C(C=CC(=C1)CC2=NOC(=N2)CCC3=NOC(=N3)CC(C)NC)OC
+CC1=NOC(=N1)CN2CC(CC2=O)C3=NC(=NO3)CC(C)NC

Outputs/gpt_without_fine_tuning_4m.txt

@@ -0,0 +1,89 @@
+CC(CC1=C(NC2=CC(=C(C=C21)N)N)N)NC(=O)C3=CC=CC=C3
+CC(C)C1(CCC2=C(O1)C=CC(=N2)OC)CC(=O)N
+CCCCCCCC=CCCC=CCCC=CCCCCCCCC(=O)OCCCCCCCCCCCCCCCCCCCC(=O)OCCCCCCCCCCCCCC
+CC(C)C(CCN(C)C)(C#N)C(=O)C(C1=CC=C(C=C1)Cl)NC(=O)CN(CCCl)CCCl
+C1=CC=C2C(=C1)NC(=O)C=C2C(=O)CC3=CC=CC=N3
+C1=CC2=C(C=C1Cl)OC3=CC(=C(C=C3O2)O)Cl
+CC1=C2C(=CC=C1)C3=C(C2=O)C=C(C=C3)C
+CCCCCCCCCCCCCC(CCCC)C(=O)OCC(CO)O
+CC1=CC=C(C=C1)C(=O)NC2=CC=C(C=C2)C(=O)O
+CC(C1=CC=C(C=C1)OCCN(C)C)NC(=O)C2=CC=C(C=C2)Cl
+CCOC1=CC=C(C=C1)C(=O)NC(=O)OCCN2CCC2
+CC(C)C(=O)CC(C)(C)C
+CCCCC(CC)(C#CCN(CCCCC)CC)O
+CC(C)(C)C(=O)NCC1=CC=C(C=C1)OCCN2CCC2
+CCC(C)(C)C(=O)N(C1=CC=C(C=C1)CCN(C(=O)N(CC)CC)N(CC)CC)NC(=O)C2=CC=CC=C2.C(=O)(C(=O)O)O
+CCN(CC)CCOC1=C(C=C(C=C1)Cl)C(=O)CCl
+CCCCCCCCCCCCCCCCCCC(=CCCCCCCCCCCCCCCC)Cl
+CC1=C(C(=C(C(=C1)C(C)C)O)CC2=CC=CC=C2)OC
+CCCN(CCC)C(=O)C(CC1=CC=C(C=C1)OCCN(CC)CC)NC(=O)C2=CC=C(C=C2)Cl
+CN(C)CCOC(=O)CCNCCN1C2=CC=CC=C2C3=CC=CC=C3C1
+CCCCCCCCCCCCCCCCN(CCCCCCCCCCCCCCCCCCCC)CCCCCCCCCC(=O)O
+CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC(CC)CCCCCCCCCCCCCCCCC(C)CC(=O)O
+CC(C)(C)NCC1=CC(=CC2=C1OCCO2)O
+CCCCCCCCCCCCCCOC1=CC=C(C=C1)C2=CC=C(C=C2)C(=O)OCCCN(C)C
+CCC(C)(C)NC(=O)C(CC1=CC=C(C=C1)OC)N
+CCCCOC1=CC=C(C=C1)NN=NC2=CC=C(C=C2)C(=O)OCC[NH+](CC)CC.[Cl-]
+CC1=C(C=CC(=C1)C)OCCNC(=O)CCl
+CC1=CC(=C(C=C1)C(=O)OCC2=CN=C(O2)[N+](=O)[O-])[N+](=O)[O-]
+CC(=O)C(=C)C(=O)OCC(=O)CC(C)(C)C
+CC(=O)OC1=CC=C(C=C1)C(=O)OCC[NH+]2CCCC2.[Cl-]
+C1=CC=C(C=C1)CC(C(=O)O)NC(=O)C2=CC=C(C=C2)Cl
+CC1=C(C(=CC=C1)C)NC(=O)C[NH+](CCCl)CCCl.[Cl-]
+CCCCN(CCCC)N=O
+CCCCCCCCCCCCC(=O)OCC1C(C(C(O1)C)OC)OCCCCCCCCC
+CC(=C)C1=CC2=C(C=C1)SC3=CC=CC=C3C2N4CCN(CC4)C
+CCCCN(CCCC)N=O
+CCCC(=CCC)C(=O)C(=O)O
+CC1CC(=C(C1)C)C
+CC1=C2C(=C(C=C1)C)N(C3=CC=CC=C23)CC[NH+](C)C.[Cl-]
+C1=CC=C2C(=C1)C3=C(O2)C=C(C=C3)[N+](=O)[O-]
+COC1=C(C=C(C=C1)CC(=O)N)OC
+CC(C)CC(=O)C=CC(=O)OCC(C)(C)C
+CN(C)CCN(CCN(C)C)C1=CC=CC2=C1C=C(C=C2)OC.Cl.Cl
+CC(C)C1=CC=C(C=C1)NC(=O)CCl
+CCN(CC)CCOC(=O)C1=C(C=C(C=C1)OC)OC
+CC(=O)CCCCC(=O)C1=CC=C(C=C1)OCCCCC2=CC=CC=C2
+CCC1=C(C(=CC=C1)NC(=O)C)C
+CC1=CC2=CC3=C(C=C2C(=C1)C)OCO3
+CCOC(=O)C(CC1=CC=C(C=C1)OCCN(C)C)NC(=O)C2=CC=C(C=C2)Cl
+COC1=C(C=CC(=C1)C=O)CCN2CCN(CC2)CCC(=O)C3=CC=C(C=C3)F
+CC1=C(C=C(C=C1)C(=O)OCCN2CCCC2)C
+CCCCCC(C)(C)C1=CC=C(C=C1)C(C)NC(=O)C
+CC1=C(C(=C(C=C1C(=O)NC2CCN(CC2)CC3=CC(=C(C=C3)Cl)Cl)NC(=O)C)C)C
+CCCCCCCCCCCCC(CCC)(C)Cl
+CCCCCCCCCCCCCCCCCCCCCCCCCCCCC(=O)N(CCO)CCO
+CN1CCN(CC1)C2=C(C(=C(C=C2)Cl)Cl)C3=CC=CC=C3
+CC1=C(C=C(C=C1)Cl)OCC(=O)O
+CN(C)[C@H](C1=CC=CC=C1)NC(=O)C2=CC=C(C=C2)N
+CC1=C(C=C(C=C1)Cl)C(=O)NC2=CC=C(C=C2)C(=O)O
+CCCCCCCCCCCCCCCCCCCCCCCCC(=O)OCC(CO)O
+CC1=C(C(=O)N(C1=O)C2=CC=CC=C2)C3=CC=CC=C3
+C1=CC=C(C=C1)NC(=O)C2=CC=C(C=C2)N(CCCl)CCCl
+CC1=CC=C(C=C1)C(=O)C=CC2=C(N(C2=O)C)C
+CCN(CC)CCN(CCOC(=O)C)C(C)CCO
+CCCCCCCCCC(CCCCCCCCC)[NH3+].[Cl-]
+C1=CC(=C(C=C1Cl)Cl)C2=C(C(=C(C(=C2Cl)Cl)Cl)Cl)Cl
+CCOC1=CC=C(C=C1)C2=C(C=CC(=C2)C)C
+CC1=C(C(=C(C=C1)Cl)NC(=O)C)Cl
+CCOC1=CC2=C(C=C1)N(C3=C2CCCC3)CC[NH+](C)C.[Cl-]
+CC1=C(C(=CC=C1)C)C(=O)OC(C)C
+C1CCC2(CC1)CCC3=C(C2=O)C=C(C=C3)Cl
+CC1=C(C(=C(C=C1)CC2=CC=C(C=C2)C)C)OCCN(C)C
+CCCCCCCC(=CCCC)C(=O)N
+CCCCCCCCCCCCCCC(=O)C1=CC=C(C=C1)NC(=O)OCC[NH+]2CCCCCCCC2.[Cl-]
+CC1(CC2=CC=CC=C2C(C1)(C)C)OCC[NH+](C)C.[Cl-]
+CCCN(CCC)C(=O)C(CC1=CC=C(C=C1)OCCN(CC)CC)C(=O)C2=CC=C(C=C2)Cl
+CC1=CC(=C(C(=C1)C)C)NC(=O)CN2CCCCC2
+CCCCC(CC)(C)C1=NC(=NC(=N1)C(Cl)(Cl)Cl)C(Cl)(Cl)Cl
+CCCCCCCCCCCC(=O)CC(C)(C)[N+](=O)[O-]
+CC1=C(C2=C(N1C(=O)C3=CC=C(C=C3)Cl)C=CC(=C2)OC)CC(=O)OC
+CC(=O)OC1=C(C=C(C=C1CC2=C(C(=C(C=C2)I)NC(=O)C)I)I)C(=O)OC
+CN1CCC2=C(C1)C=C(C=C2)C3=CC=CC=C3
+CCCCCCC(C)(C)NC(=O)OCCN1CCCC1
+CCCCCCCCCCCCCCCCCCCCC(=O)N(CCO)CCO
+CCCCCCCCCCCCCCCN(CCCO)C(=O)C(CCCCCCCCC)NC(=O)CCCCCCCCCCCCCCC
+CN(C)CCCN1C2=C(C=C(C=C2)Cl)C3=C1C=C(C=C3)Cl
+CC1CC2=C(O1)C=CC(=C2)OCC(CNC(C)C)O
+CC1=C(C2=C(N1C(=O)C3=CC=CC=C3)C=CC(=C2)OC)CC(=O)O
+CCOC(=O)NC1=CC=C(C=C1)NC(=O)CN2CCCC2

Trained Models/gpt_model_moses

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2bb70aaaa103bbe69f470870efa8fc6a09303d37c39e6153543fa1b5f1f869dc
+size 27517535

Trained Models/gpt_model_state_10m

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc1c69e2211cc004662a3556f7baf9c5173d650825c420eedeafd9fc6b960cc6
+size 25887839

Trained Models/gpt_model_state_32m

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0f0e84f6ac998776aefbb56b51c031a3e955c4d005573f7eceb74780d2ec7aae
+size 25887839

Trained Models/gpt_model_state_50m

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d518b89b630a4a6380bcb45a3330a123c83baa1aa6074a58be6a6d2ddeac9aa5
+size 25887839