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z3IqZXpj%@E1cH#7Z}$fQ0PkR&ch&_UkQ4DQZGrGx`3D3d7vnn^40zWT7yy1NUyyD9 z0e5VH-8n}fwKqwS+drd*^;qL4ikaGVL7vzxNwgn1B zK>r2%pYzDhMi+T8Ve|KzRnhdlA@U*-d8MmhX=#V`&(@#g?z SYUIut1O{Qz(~HQ8V*MYR7%sa2 literal 0 HcmV?d00001 From 48be1bd86616dfc3001a59594c59c569085e9fcc Mon Sep 17 00:00:00 2001 From: Roger Stager Date: Thu, 5 Jun 2025 18:17:22 -0700 Subject: [PATCH 2/5] Simplified timing plots --- mdecode.ipynb | 3052 ++++++------------------------------------------- 1 file changed, 376 insertions(+), 2676 deletions(-) diff --git a/mdecode.ipynb b/mdecode.ipynb index 60a9085..0a8c227 100644 --- a/mdecode.ipynb +++ b/mdecode.ipynb @@ -37,7 +37,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 19, "metadata": { "id": "aMJIw0AqOhB2" }, @@ -51,7 +51,8 @@ "import torch.nn.functional as F\n", "from functools import partial\n", "import pandas as pd\n", - "import matplotlib.pyplot as plt" + "import matplotlib.pyplot as plt\n", + "from collections import defaultdict" ] }, { @@ -65,7 +66,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 20, "metadata": { "id": "LaNMNVp8RuRa" }, @@ -98,14 +99,14 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 21, "metadata": { "id": "MNaa6P9bOjtI" }, "outputs": [], "source": [ "\n", - "def mdecode(model=None,steer=None, input_ids=None, n_branch=1,tokens_to_add=10):\n", + "def mdecode(model=None,steer=None, input_ids=None, n_branch=1,tokens_to_add=10,times=None):\n", " \"\"\"\n", " An optimized multi decoding algorithm for text generation.\n", "\n", @@ -119,7 +120,7 @@ " Returns:\n", " A list of lists, where each sublist contains the generated token IDs for a branch.\n", " \"\"\"\n", - " global_t0=time.time()\n", + " entry_time=time.time()\n", " assert model is not None,'Model is required argument'\n", " if steer is None:\n", " # default steer is just a greedy\n", @@ -134,7 +135,7 @@ " branchs = [[[] for _ in range(n_branch)] for _ in range(batchsize)]\n", " pkv=None\n", " position_ids=torch.full((batchsize,n_branch),fill_value=context_len+1,dtype=torch.int).to(model.device)\n", - " \n", + "\n", " part1=torch.full((batchsize,1,n_branch,context_len+n_branch*tokens_to_add),fill_value=float('-inf')).to(model.device)\n", " part2=torch.where(torch.eye(n_branch) == 1, torch.tensor(0.0), torch.tensor(float('-inf')))\\\n", " .unsqueeze(0).unsqueeze(0).expand(batchsize, 1, -1, -1).repeat(1, 1, 1, tokens_to_add).to(model.device)\n", @@ -163,6 +164,8 @@ " logits=output.logits # Get logits for the next token\n", " pkv = output.past_key_values # Update past key/values\n", " position_ids+=1\n", + " if times is not None:\n", + " times.append(time.time()-entry_time)\n", "\n", " # external function to select tokens and steer the branches\n", " tokens=steer(branchs,logits,output)\n", @@ -187,7 +190,7 @@ " for branch in range(n_branch):\n", " ids=input_ids[idx,torch.tensor(branchs[idx][branch])+context_len].to('cpu')\n", " branch_ids[idx].append(ids)\n", - " \n", + "\n", " return branch_ids" ] }, @@ -197,67 +200,15 @@ "id": "J_icX8BbA8Uk" }, "source": [ - "At each token generation step, each of the branchs needs to select the next token. Selecting the next token is the responsibilty of the 'steer' function. \n", + "At each token generation step, each of the branchs needs to select the next token. Selecting the next token is the responsibilty of the 'steer' function.\n", "Every call to mdecode will use the same number of branch for each of the sequences in the batch. Note that the steer function can modify the branchs list of list of lists (batch_idx, branch_idx, position_ids). The branchs list can be modified insitu.\n", - "The steer function can be as simple as a function (i.e. sample_steer) \n", + "The steer function can be as simple as a function (i.e. sample_steer)\n", " can be modified to use different algorithms for selecting the tokens and for managing the branchs. " ] }, { "cell_type": "code", - "execution_count": 4, - "metadata": { - "id": "fBRTeKyHPIHx" - }, - "outputs": [], - "source": [ - "# this is a sample steering function\n", - "# This function will select tokens for each branch.\n", - "# it can also modify the branchs insitu\n", - "\n", - "def sample_steer(branchs,logits,output,temperature=0.7,greedy=False):\n", - " \"\"\"\n", - " Steers the branch search by selecting tokens based on their probabilities.\n", - "\n", - " This function is called by the `mdecode` function to guide the branch search process.\n", - " It takes the current branchs, the logits from the language model, and optional\n", - " parameters for temperature scaling and greedy selection.\n", - "\n", - " Args:\n", - " branchs: A list of lists, where each sublist represents a branch and contains\n", - " the token positions in the branch.\n", - " logits: The logits from the language model, representing the unnormalized\n", - " probabilities of the next token.\n", - " output: The output from the language model, containing additional information\n", - " such as past key/values.\n", - " temperature (float, optional): The temperature used for scaling the logits\n", - " before applying softmax. A higher temperature leads to more diverse\n", - " token selections. Defaults to 0.7.\n", - " greedy (bool, optional): Whether to select the token with the highest\n", - " probability (greedy selection) or sample from the probability\n", - " distribution. Defaults to False.\n", - "\n", - " Returns:\n", - " torch.Tensor: A tensor containing the selected tokens for each branch.\n", - " \"\"\"\n", - " # Apply temperature scaling to the logits\n", - " next_token_probs = F.softmax(logits / temperature, dim=-1)\n", - "\n", - " # 3. Sample from the probability distribution:\n", - "\n", - " if greedy:\n", - " tokens = torch.argmax(next_token_probs,dim=-1)\n", - " else:\n", - " # flatten then re-expand probabilities so we can us multinomial.\n", - " tokens = torch.multinomial(next_token_probs.view(-1,next_token_probs.size(-1)), num_samples=1)\n", - " tokens = tokens.view(next_token_probs.size(0),next_token_probs.size(1))\n", - "\n", - " return tokens" - ] - }, - { - "cell_type": "code", - "execution_count": 5, + "execution_count": 22, "metadata": { "id": "VJF9Ua2VooHY" }, @@ -310,96 +261,54 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": {}, + "execution_count": 23, + "metadata": { + "id": "fBRTeKyHPIHx" + }, "outputs": [], "source": [ - "def naive_decode(model=None,steer=None, input_ids=None, n_comp=1,tokens_to_add=10):\n", - " \"\"\"\n", - " An naive multi decoding algorithm for text generation. \n", - " This implementation just repeats each sequence once for every parallel completion.\n", - " increasing the batch size by *n_comp\n", - " \"\"\"\n", - " assert model is not None,\"Model is required\"\n", - " assert input_ids is not None,\"Input_ids argument is required\"\n", - " batchsize,prefix_len=input_ids.shape\n", - "\n", - " input_ids=input_ids.repeat_interleave(n_comp,dim=0)\n", - " \n", - " # preload pkv\n", - " pkv=None\n", - " pos=0\n", - "\n", - " for n in range(tokens_to_add):\n", - " _,seq_len=input_ids.shape\n", - "\n", - " with torch.no_grad():\n", - " output=model.forward(input_ids=input_ids[:,pos:], past_key_values=pkv, use_cache=True)\n", - " pkv=output.past_key_values\n", - " next_token_probs = F.softmax(output.logits / 0.7, dim=-1)\n", - " tokens = torch.argmax(next_token_probs,dim=-1)\n", - " # add the selected tokens to the sequence\n", - "\n", - " input_ids = torch.cat([input_ids,tokens[:,-1:]], dim=-1)\n", - " pos=-1\n", - "\n", - " \n", - "# define a sweep of prefix_len,gen_len,num_beams\n", - "def sweeper():\n", - " for gen_len in [5,10,50,100,150,200]:\n", - " for prefix_len in [1,2,8,128,512,1024,1536,2048]:\n", - " for num_beams in [2,4,8,12,16,20,24,32]:\n", - " yield prefix_len,num_beams,gen_len\n", - "\n", - "\n", - "\n", - "# collect averaged timing on some number of runs\n", - "def eval_generation(tokenizer,model,sweep,gen_call,prompt_ids,num_avg=10):\n", - " data=[]\n", - " for prefix_len,n_comp,gen_len in sweep:\n", - " times=[]\n", - " rag=torch.full((prompt_ids.size(0),prefix_len),fill_value=tokenizer.eos_token_id).to(model.device)\n", - " for _ in range(num_avg):\n", - " tinput_ids = torch.cat([rag,prompt_ids],dim=1)\n", - " torch.cuda.empty_cache()\n", - " try:\n", - " t0=time.time()\n", - " beam_ids = gen_call(model=model,input_ids=tinput_ids,n_comp=n_comp,tokens_to_add=gen_len)\n", - " t1=time.time()\n", - " times.append(t1-t0)\n", - " except torch.OutOfMemoryError as e: \n", - " break # it will fail every time so stop trying\n", - "\n", - " data.append((prefix_len,n_comp,gen_len,sum(times)/len(times) if len(times)>0 else -0.001))\n", + "# this is a sample steering function\n", + "# This function will select tokens for each branch.\n", + "# it can also modify the branchs insitu\n", "\n", - " return pd.DataFrame(data, columns=[\"prefix_len\", \"num_beams\", \"gen_len\", \"time\"])\n", + "def sample_steer(branchs,logits,output,temperature=0.7,greedy=False):\n", + " \"\"\"\n", + " Steers the branch search by selecting tokens based on their probabilities.\n", "\n", - "# compare mdecode to another method and compute the speedup \n", - "def compute_speedup(df_mdecode,df_other,name='other'):\n", - " df= pd.merge(df_mdecode.rename(columns={'time': 'mdecode'}), df_other.rename(columns={'time': name}), on=['prefix_len', 'num_beams', 'gen_len'])\n", - " df['speedup']=df[name]/df['mdecode']\n", - " return df\n", + " This function is called by the `mdecode` function to guide the branch search process.\n", + " It takes the current branchs, the logits from the language model, and optional\n", + " parameters for temperature scaling and greedy selection.\n", "\n", - "def compare_mdecode_to(other=None,sweep=None,name=\"other\",prompt_ids=None,sequential=True,runs=3):\n", - " if other is None:\n", - " other=naive_decode\n", - " if sweep is None:\n", - " sweep=sweeper\n", + " Args:\n", + " branchs: A list of lists, where each sublist represents a branch and contains\n", + " the token positions in the branch.\n", + " logits: The logits from the language model, representing the unnormalized\n", + " probabilities of the next token.\n", + " output: The output from the language model, containing additional information\n", + " such as past key/values.\n", + " temperature (float, optional): The temperature used for scaling the logits\n", + " before applying softmax. A higher temperature leads to more diverse\n", + " token selections. Defaults to 0.7.\n", + " greedy (bool, optional): Whether to select the token with the highest\n", + " probability (greedy selection) or sample from the probability\n", + " distribution. Defaults to False.\n", "\n", - " sweeps=list(sweep) # need to use iterator twice, so just convert to a list\n", - " sweeps_other=[(p,1,g) for p,n,g in sweeps] if sequential else sweeps\n", + " Returns:\n", + " torch.Tensor: A tensor containing the selected tokens for each branch.\n", + " \"\"\"\n", + " # Apply temperature scaling to the logits\n", + " next_token_probs = F.softmax(logits / temperature, dim=-1)\n", "\n", - " df_mdecode=eval_generation(tokenizer,model=model,sweep=sweeps,gen_call=mdecode,prompt_ids=prompt_ids,num_avg=runs)\n", - " df_other=eval_generation(tokenizer,model=model,sweep=sweeps_other,gen_call=other,prompt_ids=prompt_ids,num_avg=runs)\n", + " # 3. Sample from the probability distribution:\n", "\n", - " if sequential: \n", - " # for modeling sequential beams we assume that beams \n", - " # are handled by sequential runs, then we just multiply a single run time the num_beams\n", - " df_other['raw_seq_time']=df_other['time']\n", - " df_other['time'] = df_other['time']*[n for _,n,_ in sweeps]\n", - " df_other['num_beams'] = [n for _,n,_ in sweeps]\n", + " if greedy:\n", + " tokens = torch.argmax(next_token_probs,dim=-1)\n", + " else:\n", + " # flatten then re-expand probabilities so we can us multinomial.\n", + " tokens = torch.multinomial(next_token_probs.view(-1,next_token_probs.size(-1)), num_samples=1)\n", + " tokens = tokens.view(next_token_probs.size(0),next_token_probs.size(1))\n", "\n", - " return compute_speedup(df_mdecode,df_other,name=name)" + " return tokens" ] }, { @@ -413,82 +322,9 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 24, "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 348, - "referenced_widgets": [ - "c682cc3290474c14b6c4be88f16cf52a", - "a49fc2d18ecd4d3bb3191fa3e2a75a4f", - "b214b04408ca4cbfa111e8217509da63", - "5eca11119e52470faa56764661a85cc1", - "6caf8622254d43bbb0ec9bdda79662f4", - "8c32cc4a83b34f30a2070d15b91b248a", - "3aabc0758c444a068ead0befc140269e", - "2a0f64fd032c4cef8a54b448c3d7f3a1", - "87d0984b704b491a9ce4598edca45118", - "a0491c7599a34e1ab10f57e77b89599c", - "1ef50cf95da54181b249a189c2b6dcd4", - "a1159f26422449abacf5c054657e6c2c", - "77be11f4039442d1b3680ae3eef0963f", - "0b6b012fb04249e9ab3469d9ac90e2e6", - "58b19bd2d1664ca2bcdf8d2e3f3c50db", - "abe92db32507437a9b4c74590911f595", - "7cc64bc916c745519aa4eb07407a514b", - "17c773910658485fabf805a82f69714c", - "fcbb5176ee7048eab1a41e9af714a09e", - "bd18b818a22e4279876d22f27ca28b01", - "381b42013ad749d490b66dfd70d4b1e0", - "48f14bb5ac644ec39a646925b354caac", - "fafb2bf9b0eb43a19467c4e6733c08ff", - "ac70dccaa5ed47828253347502f57850", - "038ff88ff53a443284b9d90362c19f1a", - "61898b5630a6458f93b9b06a8fbdadb0", - "a2d7136809754e32ae9cf31bb475a82e", - "bad5cbdc9370472e9c9e8fc8c23a258c", - "38c8432b23bf4de585bc4d01194c1c9f", - "997ea165b9254074909858978bc5fa29", - "f7136ec5f981438dafbc01c3d1a9822b", - "1d6e0ab58f014c7d95dfa9581725c825", - "67b74b59f75d449880d257be7b26f717", - "3842e0db4b604b42a57f4243ded08e1d", - "7957f3281e994e5ab08a7658e8391327", - "1df06c964c1847c692b136d5e0de32e7", - "06775819aeea42138d7b660ef35dfb80", - "7ac77a0078154b828e1fbce907e071c8", - "ae1b658a911c490bbb88e1583b32ee37", - "88edc9d0b1e943ffa78dae1b892148eb", - "4ae8b0cf844341fd9974b9a31aed1c29", - "11a19a13ec3c4d119d6bb4c6d3c14dfa", - "ecf59d30bb054709a1af5d630d1e918c", - "46a5a62a50e54a74abe2bb918acf58cf", - "dbc113ec2b924145b4b7de3a73099c47", - "e8d8110d71174f4bbb69b82f557cb7ae", - "8cd2fec318104409b5ca82e6383f4f89", - "a080fb47dbdd44df8e5b00fd6b87b1da", - "dd65c07547a74328941be0f4ae0b4301", - "328e5113c86842969d84dfc12d996997", - "21caa95137de45079198e21fcee0545d", - "44e00dcc424e479499a639a038cffe08", - "aebad3a992194b2ab73f64324814d8f2", - "dd34bdb60be7445e883b8e1c4cef089a", - "50f26b009ac14a44baa71aaea6c7b6c6", - "0ee173bc80074261b46f2b1e68c3fa55", - "a0db2579129a4a0c97a11f0e7b73f82d", - "67df743180c64e2e923a0423864db2f9", - "f097b889a1f547fd8f33d7a188b47090", - "d7ac7d69a5b241488a6b494c0e22b972", - "7bd895e9b0a441d4982c1c0b84fcd4e9", - "34586e3f63c5435dab3ecae8c5678066", - "f4a448dd860049b1bc20cf52b4cb74db", - "2750ff497a5f4ad49b84b648b8be588b", - "f670558940824b028d9e9896941baccc", - "5796db1019d54032a4f2c7365e83064c" - ] - }, - "id": "PyKyaMDmsbxb", - "outputId": "a6a8c4a6-d1c2-422d-e54c-0e0b447712e9" + "id": "PyKyaMDmsbxb" }, "outputs": [], "source": [ @@ -502,18 +338,18 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 25, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "O3KFk5GvOnhA", - "outputId": "5d9008be-3780-4bd3-fe13-78c1d461785d" + "outputId": "b17d5342-251f-4efd-c7d6-513f7f38a11d" }, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ "0.0: Once upon a time, there was a man who was very rich. He\n", "0.1: Once upon a time, I was a very happy girl. I had a\n", @@ -563,20 +399,24 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "9Ok0q8yz-Cuj" + }, "source": [ "The following some utility routines to help us compare the performance of the mdecode to a naive implementation." ] }, { "cell_type": "code", - "execution_count": 9, - "metadata": {}, + "execution_count": 26, + "metadata": { + "id": "Ry3GhTsd-Cuj" + }, "outputs": [], "source": [ - "def naive_decode(model=None,steer=None, input_ids=None, n_branch=1,tokens_to_add=10):\n", + "def naive_decode(model=None,steer=None, input_ids=None, n_branch=1,tokens_to_add=10,times=None):\n", " \"\"\"\n", - " An naive multi decoding algorithm for text generation. \n", + " An naive multi decoding algorithm for text generation.\n", " This implementation just repeats each sequence once for every parallel completion.\n", " increasing the batch size by *n_branch\n", " \"\"\"\n", @@ -585,12 +425,12 @@ " batchsize,context_len=input_ids.shape\n", "\n", " input_ids=input_ids.repeat_interleave(n_branch,dim=0)\n", - " \n", + "\n", " # preload pkv\n", " pkv=None\n", " pos=0\n", "\n", - "\n", + " entry_time=time.time()\n", " for n in range(tokens_to_add):\n", " _,seq_len=input_ids.shape\n", "\n", @@ -605,8 +445,9 @@ " pos=-1\n", "\n", " tmp=input_ids[0,context_len-1].to('cpu')\n", + " if times is not None:\n", + " times.append(time.time()-entry_time)\n", "\n", - " \n", "# define a sweep of context_len,gen_len,num_branchs\n", "def sweeper():\n", " for gen_len in [5,10,50,100,150,200]:\n", @@ -619,518 +460,433 @@ "# collect averaged timing on some number of runs\n", "def eval_generation(tokenizer,model,sweep,gen_call,prompt_ids,num_avg=10):\n", " data=[]\n", - " for context_len,n_branch,gen_len in sweep:\n", + "\n", + " reordered=defaultdict(list)\n", + " for c,b,g in sweep:\n", + " reordered[(c,b)].append(g)\n", + "\n", + " for (context_len,n_branch),gen_lens in reordered.items():\n", " times=[]\n", + " gen_len=max(gen_lens)\n", + " gen_times=[]\n", " rag=torch.full((prompt_ids.size(0),context_len),fill_value=tokenizer.eos_token_id).to(model.device)\n", " for _ in range(num_avg):\n", " tinput_ids = torch.cat([rag,prompt_ids],dim=1)\n", " torch.cuda.empty_cache()\n", " try:\n", + " gen_time=[]\n", " t0=time.time()\n", - " branch_ids = gen_call(model=model,input_ids=tinput_ids,n_branch=n_branch,tokens_to_add=gen_len)\n", + " branch_ids = gen_call(model=model,input_ids=tinput_ids,n_branch=n_branch,tokens_to_add=gen_len,times=gen_time)\n", " t1=time.time()\n", " times.append(t1-t0)\n", - " except torch.OutOfMemoryError as e: \n", + " gen_times.append(gen_time)\n", + "\n", + " except torch.OutOfMemoryError as e:\n", " break # it will fail every time so stop trying\n", "\n", - " data.append((context_len,n_branch,gen_len,sum(times)/len(times) if len(times)>0 else -0.001))\n", + " gen_times=torch.tensor(gen_times)\n", + " if len(gen_times.shape)==1:\n", + " gen_times=gen_times.unsqueeze(0)\n", + " gen_times=gen_times.mean(dim=0)+ -0.000001 #epsilon\n", + "\n", + " for gen in gen_lens:\n", + " gen_time=float(gen_times[gen-1]) if gen<=len(gen_times) else 0.0\n", + " data.append((context_len,n_branch,gen,gen_time))\n", + "\n", + " #data.append((context_len,n_branch,gen_len,sum(times)/len(times) if len(times)>0 else -0.001))\n", "\n", " return pd.DataFrame(data, columns=[\"context_len\", \"num_branchs\", \"gen_len\", \"time\"])\n", "\n", - "# compare mdecode to another method and compute the speedup \n", - "def compute_speedup(df_mdecode,df_other,name='other'):\n", - " df= pd.merge(df_mdecode.rename(columns={'time': 'mdecode'}), df_other.rename(columns={'time': name}), on=['context_len', 'num_branchs', 'gen_len'])\n", - " df['speedup']=df[name]/df['mdecode']\n", - " return df\n", + "def compare_to(sweep=None,prompt_ids=None,sequential=True,mb=True,runs=3,other=naive_decode):\n", "\n", - "def compare_mdecode_to(other=None,sweep=None,name=\"other\",prompt_ids=None,sequential=True,runs=3):\n", - " if other is None:\n", - " other=naive_decode\n", " if sweep is None:\n", " sweep=sweeper\n", "\n", " sweeps=list(sweep) # need to use iterator twice, so just convert to a list\n", - " sweeps_other=[(p,1,g) for p,n,g in sweeps] if sequential else sweeps\n", "\n", " df_mdecode=eval_generation(tokenizer,model=model,sweep=sweeps,gen_call=mdecode,prompt_ids=prompt_ids,num_avg=runs)\n", - " df_other=eval_generation(tokenizer,model=model,sweep=sweeps_other,gen_call=other,prompt_ids=prompt_ids,num_avg=runs)\n", - "\n", - " if sequential: \n", - " # for modeling sequential branchs we assume that branchss \n", - " # are handled by sequential runs, then we just multiply a single run time the num_branchs\n", - " df_other['raw_seq_time']=df_other['time']\n", - " df_other['time'] = df_other['time']*[n for _,n,_ in sweeps]\n", - " df_other['num_branchs'] = [n for _,n,_ in sweeps]\n", "\n", - " return compute_speedup(df_mdecode,df_other,name=name)" + " if sequential:\n", + " # for modeling sequential branchs we assume that branchss\n", + " # are handled by sequential runs, so we just multiply a single run time the num_branchs\n", + " # first do the single runs\n", + " seq_sweep=set([(c,1,g)for c,b,g in sweeps])\n", + " df_single=eval_generation(tokenizer,model=model,sweep=seq_sweep,gen_call=other,prompt_ids=prompt_ids,num_avg=runs)\n", + " single_runs = {(row[\"context_len\"], row[\"gen_len\"]): row[\"time\"] for index, row in df_single.iterrows()}\n", + "\n", + " # now construct the df_seq\n", + " data=[]\n", + " for c,b,g in sweeps:\n", + " data.append((c,b,g,single_runs[(c,g)]*b))\n", + " df_seq=pd.DataFrame(data, columns=[\"context_len\", \"num_branchs\", \"gen_len\", \"time\"])\n", + "\n", + "\n", + " df_comp= pd.merge(\n", + " df_mdecode.rename(columns={'time': 'mdecode'}),\n", + " df_seq.rename(columns={'time': 'seq'}),\n", + " on=['context_len', 'num_branchs', 'gen_len'])\n", + " df_comp['speedup']=df_comp['seq']/df_comp['mdecode']\n", + " else:\n", + " df_comp=df_mdecode.rename(columns={'time': 'mdecode'})\n", + "\n", + " if mb:\n", + " df_mb=eval_generation(tokenizer,model=model,sweep=sweeps,gen_call=other,prompt_ids=prompt_ids,num_avg=runs)\n", + " df_comp = pd.merge(\n", + " df_comp,\n", + " df_mb.rename(columns={'time': 'mb'}),\n", + " on=['context_len', 'num_branchs', 'gen_len'])\n", + " df_comp['speedup_mb']=df_comp['mb']/df_comp['mdecode']\n", + "\n", + " return df_comp\n", + "\n" ] }, { "cell_type": "code", - "execution_count": 10, - "metadata": {}, + "source": [ + "def plot_time(df,x,by=None,subtitle=\"\"):\n", + "\n", + " ax = plt.gca() # Get the current axes\n", + "\n", + " for name in ['mdecode','seq','mb']:\n", + " if name in df.columns:\n", + " if by:\n", + " for name, group in df.groupby(by):\n", + " ax.plot(group[x], name, marker='o', linestyle='-', label=name)\n", + " else:\n", + " ax.plot(df[x], df[name], marker='o', linestyle='-', label=name)\n", + "\n", + " plt.xlabel(x)\n", + " plt.ylabel(\"Execution Time\")\n", + " plt.title(f'{x} vs execution time'+(\" Grouped by {by}\" if by else \"\"))\n", + " plt.legend(title='by')\n", + " plt.grid(True)\n", + " plt.show()\n", + "\n", + "def plot_speedup(df,x,by=None,subtitle=\"\"):\n", + "\n", + " ax = plt.gca() # Get the current axes\n", + "\n", + " for name in ['speedup','speedup_mb']:\n", + " if name in df.columns:\n", + " if by:\n", + " for name, group in df.groupby(by):\n", + " ax.plot(group[x], name, marker='o', linestyle='-', label=name)\n", + " else:\n", + " ax.plot(df[x], df[name], marker='o', linestyle='-', label=name)\n", + "\n", + " plt.xlabel(x)\n", + " plt.ylabel(\"Speedup\")\n", + " plt.title(f'{x} vs speedup'+(\" Grouped by {by}\" if by else \"\"))\n", + " plt.legend(title='by')\n", + " plt.grid(True)\n", + " plt.show()" + ], + "metadata": { + "id": "xYsbh1bhnIWU" + }, + "execution_count": 27, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "tsweep=[(0,1,2),(0,1,20),(0,10,2),(0,10,20),(1000,10,10)]\n", + "single_prompt_id=prompt_ids[:1]\n", + "df=compare_to(sweep=tsweep,prompt_ids=single_prompt_id,sequential=True,runs=5)\n", + "pd.set_option('display.width', 200)\n", + "print(df)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "o9oloqgBUWYM", + "outputId": "af7918d0-3325-4cd5-dc4e-dcae615d6e83" + }, + "execution_count": 28, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ - " context_len num_branchs gen_len mdecode other raw_seq_time \\\n", - "0 0 2 2 0.024973 0.052639 0.026319 \n", - "1 0 4 2 0.023740 0.089100 0.022275 \n", - "2 0 8 2 0.023916 0.176729 0.022091 \n", - "3 0 16 2 0.024583 0.352264 0.022017 \n", - "4 0 32 2 0.025697 0.703819 0.021994 \n", - "5 50 8 2 0.023916 0.180653 0.022582 \n", - "6 50 16 2 0.024492 0.360630 0.022539 \n", - "7 50 24 2 0.025279 0.540585 0.022524 \n", - "8 10 32 2 0.025328 0.707428 0.022107 \n", - "9 100 2 2 0.025123 0.047561 0.023780 \n", - "10 100 4 2 0.025187 0.095425 0.023856 \n", - "11 100 6 2 0.025054 0.142871 0.023812 \n", - "12 100 8 2 0.025331 0.190886 0.023861 \n", - "13 100 12 2 0.025587 0.285653 0.023804 \n", - "14 100 14 2 0.025448 0.333853 0.023847 \n", - "15 100 16 2 0.025845 0.380623 0.023789 \n", - "16 100 18 2 0.026088 0.431540 0.023974 \n", - "17 1000 2 2 0.084424 0.169252 0.084626 \n", - "18 1000 16 2 0.085299 1.432041 0.089503 \n", - "19 1000 32 2 0.087991 2.763817 0.086369 \n", - "\n", - " speedup \n", - "0 2.107825 \n", - "1 3.753221 \n", - "2 7.389652 \n", - "3 14.329813 \n", - "4 27.388915 \n", - "5 7.553628 \n", - "6 14.724243 \n", - "7 21.384893 \n", - "8 27.930493 \n", - "9 1.893105 \n", - "10 3.788681 \n", - "11 5.702415 \n", - "12 7.535644 \n", - "13 11.163854 \n", - "14 13.118852 \n", - "15 14.726973 \n", - "16 16.541385 \n", - "17 2.004773 \n", - "18 16.788484 \n", - "19 31.410052 \n" + " context_len num_branchs gen_len mdecode seq speedup mb speedup_mb\n", + "0 0 1 2 0.039620 0.038020 0.959620 0.038578 0.973708\n", + "1 0 1 20 0.407117 0.372931 0.916029 0.372234 0.914317\n", + "2 0 10 2 0.040504 0.380199 9.386750 0.041046 1.013394\n", + "3 0 10 20 0.465266 3.729307 8.015428 0.402170 0.864388\n", + "4 1000 10 10 0.360160 3.379511 9.383352 1.628626 4.521947\n" ] } - ], - "source": [ - "# quick test of compare\n", - "tsweep=[(0,2,2),(0,4,2),(0,8,2),(0,16,2),(0,32,2),(50,8,2),(50,16,2),(50,24,2),(10,32,2),(100,2,2),(100,4,2),\n", - " (100,6,2),(100,8,2),(100,12,2),(100,14,2),(100,16,2),(100,18,2),(1000,2,2),(1000,16,2),(1000,32,2)]\n", - "single_prompt_id=prompt_ids[:1]\n", - "df=compare_mdecode_to(sweep=tsweep,prompt_ids=single_prompt_id,sequential=True,runs=1)\n", - "print(df)" ] }, { "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], "source": [ - "# full sweep with sequential and minibatch\n", "def sweeper_2():\n", - " for num_branchs in range(1,32,1):\n", - " for context_len in [0,50,100,250,500,750,1000]:\n", - " yield context_len,num_branchs,2\n", - "\n", - "df_seq=compare_mdecode_to(sweep=sweeper_2(),prompt_ids=single_prompt_id)\n", - "df_mb=compare_mdecode_to(sweep=sweeper_2(),prompt_ids=single_prompt_id,sequential=False)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, + " for num_branchs in [1,2,5,7,10,12,15,20,25,30,50,75,100]:\n", + " for context_len in [1000]:\n", + " for num_gen in [2]:\n", + " yield context_len,num_branchs,num_gen\n", + "df_2=compare_to(sweep=sweeper_2(),prompt_ids=single_prompt_id,sequential=True,runs=2)\n", + "print(df_2)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "vkH1IEiJWAtd", + "outputId": "7ee2bdfc-f06b-458f-e604-c84c07dfef94" + }, + "execution_count": 29, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ - " context_len num_branchs gen_len mdecode other raw_seq_time \\\n", - "0 0 1 2 0.022919 0.021789 0.021789 \n", - "1 50 1 2 0.023478 0.022316 0.022316 \n", - "2 100 1 2 0.024440 0.023406 0.023406 \n", - "3 250 1 2 0.032993 0.033083 0.033083 \n", - "4 500 1 2 0.049648 0.050645 0.050645 \n", - ".. ... ... ... ... ... ... \n", - "212 100 31 2 0.026548 0.728593 0.023503 \n", - "213 250 31 2 0.034961 1.022135 0.032972 \n", - "214 500 31 2 0.052434 1.601151 0.051650 \n", - "215 750 31 2 0.072272 2.214191 0.071426 \n", - "216 1000 31 2 0.086958 2.755319 0.088881 \n", - "\n", - " speedup \n", - "0 0.950705 \n", - "1 0.950489 \n", - "2 0.957714 \n", - "3 1.002744 \n", - "4 1.020075 \n", - ".. ... \n", - "212 27.443867 \n", - "213 29.236514 \n", - "214 30.536253 \n", - "215 30.636955 \n", - "216 31.685769 \n", - "\n", - "[217 rows x 7 columns]\n" + " context_len num_branchs gen_len mdecode seq speedup mb speedup_mb\n", + "0 1000 1 2 0.181670 0.182450 1.004295 0.182024 1.001949\n", + "1 1000 2 2 0.180787 0.364900 2.018400 0.320928 1.775176\n", + "2 1000 5 2 0.180895 0.912249 5.042967 0.746595 4.127218\n", + "3 1000 7 2 0.181208 1.277149 7.047984 1.053591 5.814274\n", + "4 1000 10 2 0.183917 1.824499 9.920236 1.468661 7.985462\n", + "5 1000 12 2 0.182485 2.189399 11.997664 1.739157 9.530390\n", + "6 1000 15 2 0.190699 2.736748 14.351156 2.169349 11.375787\n", + "7 1000 20 2 0.181918 3.648998 20.058452 2.887443 15.872204\n", + "8 1000 25 2 0.183227 4.561247 24.893902 0.000000 0.000000\n", + "9 1000 30 2 0.184441 5.473497 29.676113 0.000000 0.000000\n", + "10 1000 50 2 0.182669 9.122495 49.940091 0.000000 0.000000\n", + "11 1000 75 2 0.184208 13.683742 74.284049 0.000000 0.000000\n", + "12 1000 100 2 0.184971 18.244989 98.637190 0.000000 0.000000\n" ] } - ], - "source": [ - "print(df_seq)" ] }, { "cell_type": "code", - "execution_count": 13, - "metadata": {}, + "source": [ + "def sweeper_3():\n", + " for num_branchs in [32]:\n", + " for context_len in [1000]:\n", + " for num_gen in range(2,200):\n", + " yield context_len,num_branchs,num_gen\n", + "df_3=compare_to(sweep=sweeper_3(),prompt_ids=single_prompt_id,sequential=True,mb=True,runs=2)\n", + "print(df_3)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "2_vdPJF8lx3i", + "outputId": "8478e75a-0550-4101-dd9a-02c3c04b662e" + }, + "execution_count": 30, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ - " context_len num_branchs gen_len mdecode other speedup\n", - "0 0 1 2 0.022606 0.021905 0.969013\n", - "1 50 1 2 0.022953 0.022452 0.978190\n", - "2 100 1 2 0.024094 0.023663 0.982119\n", - "3 250 1 2 0.032562 0.033319 1.023242\n", - "4 500 1 2 0.051333 0.051950 1.012016\n", - ".. ... ... ... ... ... ...\n", - "212 100 31 2 0.027861 0.240400 8.628667\n", - "213 250 31 2 0.035814 0.545493 15.231458\n", - "214 500 31 2 0.051376 -0.001000 -0.019464\n", - "215 750 31 2 0.097899 -0.001000 -0.010215\n", - "216 1000 31 2 0.087690 -0.001000 -0.011404\n", + " context_len num_branchs gen_len mdecode seq speedup mb speedup_mb\n", + "0 1000 32 2 0.188463 5.926047 31.444138 0.0 0.0\n", + "1 1000 32 3 0.211506 6.532721 30.886734 0.0 0.0\n", + "2 1000 32 4 0.234815 7.134711 30.384397 0.0 0.0\n", + "3 1000 32 5 0.258846 7.735217 29.883527 0.0 0.0\n", + "4 1000 32 6 0.283621 8.333540 29.382673 0.0 0.0\n", + ".. ... ... ... ... ... ... ... ...\n", + "193 1000 32 195 16.981462 122.510391 7.214360 0.0 0.0\n", + "194 1000 32 196 17.143559 123.112396 7.181263 0.0 0.0\n", + "195 1000 32 197 17.298487 123.712151 7.151617 0.0 0.0\n", + "196 1000 32 198 17.455252 124.319992 7.122211 0.0 0.0\n", + "197 1000 32 199 17.615320 124.921715 7.091652 0.0 0.0\n", "\n", - "[217 rows x 6 columns]\n" + "[198 rows x 8 columns]\n" ] } - ], - "source": [ - "print(df_mb)" ] }, { "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" + "source": [ + "plot_time(df_2.drop(['seq','mb'],axis=1),\"num_branchs\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 472 }, + "id": "62jr3rwwsCBy", + "outputId": "ae410c0b-6fc4-48dc-b730-29137bebaa59" + }, + "execution_count": 31, + "outputs": [ { + "output_type": "display_data", "data": { - "image/png": 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", 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HH34Yzz33HHr16oWioiKcPXsWP/74I27cuAF3d3ds3LgR27dvxxdffCHWplq7di0mTpyIdevWYdasWQgKCsJbb72FhQsX4saNG3j00Ufh6OiIpKQk/Pzzz5g+fTpee+01SKVSrFu3DqNHj0ZYWBgmT54MLy8vXLx4EefPnxcDtilTpmDNmjWIjIzE1KlTkZmZifXr16Nz585qixBsbW0RGhqKzZs3o3379nBzc0OXLl005jx1794dUVFR+OSTT5Cbm4uIiAgcP34cX375JR599FEMHjy43p+FNnRpU2NJpVJ89tlneOihh9C5c2dMnjwZbdu2RWpqKvbt2wcnJyds3bpV7+9LTYCRV9MRmTXV0uKsrCy146pl79WXF8vlcmHq1KmCs7Oz4OjoKDz11FNCZmZmrSUA7r1mVFSUYG9vX6MNEREROi919/PzE0aNGiXs2rVL6Natm2BtbS107NhR+N///qfxc5w4caLGNXJycoTJkycL7u7ugoODgxAZGSlcvHhR8PPzUytJUNs19u3bJwAQ9u3bp3b8t99+E/r37y/Y2toKTk5OQnh4uPDdd9/V+3nvXab+8ccfCwMHDhRatWolWFtbC0FBQcK8efOEvLw8rfooPz9fsLW1FZfg3+utt94SwsPDBRcXF8HW1lbo2LGjsHz5cqGsrKzeaxcUFAgLFy4UgoODBSsrK8Hd3V3o37+/sHr1aqGsrEy4efOm4OzsLIwePbrGax977DHB3t5euH79unhsy5Ytwv333y/Y29sL9vb2QseOHYUXX3xRuHTpktprDx06JAwbNkxwdHQU7O3thW7duglr165VO2fTpk1CYGCgYGVlJYSFhQm7du2q0beCIAiHDx8WevXqJVhZWan9Dmtabl9eXi4sXbpUCAgIECwtLQUfHx9h4cKFQklJidp5qt/Le9VWmuBeurQJgPDiiy+qHVOV6njnnXfUjqt+V+/993Hq1Clh7Nix4u+Yn5+f8NRTTwl79+6tt63UPEkEwcAZokRERERNEHOSiIiIiDRgThKRGcvKyqozcdrKygpubm5GbBERUcvB6TYiM+bv719nWYGIiAjs37/feA0iImpBOJJEZMa++eYbFBcX1/o8KwATERkOR5KIiIiINGDiNhEREZEGnG5rIKVSiVu3bsHR0dGo5fOJiIio4QRBQEFBAby9vSGV1j1WxCCpgW7dulVjZ2kiIiJqGm7evClWv68Ng6QGUm2DcPPmTTg5OTX4OuXl5di9ezeGDx8OS0tLfTWPNGBfGw/72njY18bDvjYeQ/Z1fn4+fHx8tNrOiEFSA6mm2JycnBodJNnZ2cHJyYn/6AyMfW087GvjYV8bD/vaeIzR19qkyjBxm4iIiEgDBklEREREGjBIIiIiItKAOUlERET3UCqVKCsrUztWXl4OCwsLlJSU1LmnIjVeY/ra0tISMplML+1gkERERFRNWVkZkpKSoFQq1Y4LggBPT0/cvHmT9fEMrLF97eLiAk9Pz0b/nBgkERERVREEAWlpaZDJZPDx8VErNqhUKlFYWAgHB4d6ixBS4zS0rwVBgFwuR2ZmJgDAy8urUe1gkERERFSloqICcrkc3t7esLOzU3tONQVnY2PDIMnAGtPXtra2AIDMzEy0adOmUVNv/CkTERFVUeW/WFlZmbgl1BiqALe8vLxR12GQREREdA/mHDVt+vr5cbqNzIZCKeB4UjYyC0rQxtEG4QFukEn5HxUREZkGgyQyCzvPpWHp1kSk5ZWIx7ycbbB4dChGdGlc4h0RUUs0aNAghIWFIS4uztRNabI43UYmt/NcGmZuilcLkAAgPa8EMzfFY+e5NBO1jIiIWjIGSWRSCqWApVsTIWh4TnVs6dZEKJSaziAiIjIcBklkUseTsmuMIFUnAEjLK8HxpGzjNYqIqJmoqKjA7Nmz4ezsDHd3d8TExEAQBPz3v/9Fly5dapwfFhaGmJgYE7TUPDFIIpPKLKg9QGrIeUREdNeXX34JCwsLHD9+HO+//z7WrFmDzz77DFOmTMGFCxdw4sQJ8dxTp07hzJkzmDx5sglbbF6YuE0m1cbRRq/nERHRXT4+PnjvvfcgkUjQoUMHnD17Fu+99x6mTZuGyMhIbNy4EX369AEAbNy4EREREQgMDDRxq80HR5LIpMID3ODlbIPaFvpLULnKLTzAzZjNIiJqFu677z61mkH9+vXDlStXoFAoMG3aNHz33XcoKSlBWVkZvv32W0yZMsWErTU/DJLIpGRSCRaPDgWAGoGS6vHi0aGsl0REpGejR4+GtbU1fv75Z2zduhXl5eV44oknTN0ss8LpNjK5EV28sG5izxp1kjxZJ4mIqFGOHTum9vjo0aMICQkR9zOLiorCxo0bYWVlhfHjx4v7nlElBklkFkZ08cLQTh4IeeN3CAB8XG2xf95gjiARETVCSkoKoqOj8cILLyA+Ph5r167Fu+++Kz7//PPPo1OnTgCAv//+21TNNFsMkshslCsEsTZSmULJAImIqJEmTZqE4uJihIeHQyaT4eWXX8b06dPF50NCQtC/f39kZ2ejb9++JmypeWKQRGajqKxC/HuOvByCIHCTSSKiBtq/f7/493Xr1mk8RxAE3Lp1C7NmzTJSq5oWBklkNopK7wZJZRVKyMsUsLfmrygRkSFkZWXh+++/R3p6Omsj1YJ3IDIbhdWCJADILipjkEREZCBt2rSBu7s7PvnkE7i6upq6OWaJdyAyG/IyhdrjXHk5fFgeiYjIIASBe2LWh3WSyGzUGEmSl5moJURERAySyIzIS+8dSWKQREREpsMgicxGkYacJCIiIlNhkERmo3oJAADIYZBEREQmxCCJzMa9I0k58nITtYSIiIhBEpmRoqrVbRZVlbaZuE1ERKbEIInMhmokydulcoNFJm4TERnP/v37IZFIkJuba9J2DBo0CK+88opJ26DCOklkNlQlANq52iIlW47sIk63EVHTpFAKOJ6UjcyCErRxtEF4gBv3o2yCzGIk6aOPPoK/vz9sbGzQt29fHD9+vNZzz58/j8cffxz+/v6QSCSIi4urcU5BQQHmzp0LPz8/2Nraon///jhx4oTaOYIgYNGiRfDy8oKtrS2GDh2KK1eu6PujkQ5UJQDauXIkiYiarp3n0nD/yj/x9KdH8fL3CXj606O4f+Wf2HkuzdRNIx2ZPEjavHkzoqOjsXjxYsTHx6N79+6IjIxEZmamxvPlcjkCAwOxYsUKeHp6ajzn+eefx549e/D111/j7NmzGD58OIYOHYrU1FTxnFWrVuGDDz7A+vXrcezYMdjb2yMyMhIlJSUG+ZxUP9XqtnaudgAqSwCwIiwRNSU7z6Vh5qZ4pOWp30vS80owc1O8wQKlQYMG4aWXXsLcuXPh6uoKDw8PfPrppygqKsLkyZPh6OiI4OBg/P777+JrduzYgfbt28PW1haDBw/GjRs3alz30KFDeOCBB2BrawsfHx/MmTMHRUVF4vOlpaWYP38+fHx8YG1tjeDgYHz++efi8wcOHEB4eDisra3h5eWFBQsWoKLi7iKdoqIiTJo0CQ4ODvDy8sK7775bow2lpaV47bXX0LZtW9jb26Nv375qm/caksmDpDVr1mDatGmYPHkyQkNDsX79etjZ2WHDhg0az+/Tpw/eeecdjB8/HtbW1jWeLy4uxpYtW7Bq1SoMHDgQwcHBWLJkCYKDg8VdkAVBQFxcHN58802MGTMG3bp1w1dffYVbt27hl19+MeTHpToUVZtuA4DSCiWKyxV1vYSIyKAEQYC8rEL8U1ymUHtc/U9BSTkW/3Yemr7aqY4t+S0RBSXltV6j+h9dvyR++eWXcHd3x/Hjx/HSSy9h5syZePLJJ9G/f3/Ex8dj+PDhePbZZyGXy3Hz5k2MHTsWo0ePRkJCAp5//nksWLBA7XrXrl3DiBEj8Pjjj+PMmTPYvHkzDh06hNmzZ4vnTJo0Cd999x0++OADXLhwAR9//DEcHBwAAKmpqRg5ciT69OmD06dPY926dfj888/x1ltvia+fN28eDhw4gF9//RW7d+/G/v37ER8fr9aO2bNn48iRI/j+++9x5swZPPnkkxgxYoRRZn9MmpNUVlaGkydPYuHCheIxqVSKoUOH4siRIw26ZkVFBRQKBWxsbNSO29ra4tChQwCApKQkpKenY+jQoeLzzs7O6Nu3L44cOYLx48fXuG5paSlKS0vFx/n5+QCA8vJylJc3PHdG9drGXKO5KCypDJJcbS1gZSFFWYUSWXlyMZG7sdjXxsO+Nh72tX6Vl5dDEAQolUoolUrIyyrQZckevVxbAJCeX4KuS3Zrdf65JcNgZ6X9bbp79+74z3/+AwCYP38+VqxYgVatWmHq1KkAgDfffBPr1q1DQkICtm7diqCgILzzzjsAgJCQEJw5cwarVq0SP/vbb7+NZ555BnPmzAEABAUFIS4uDoMHD8ZHH32ElJQU/PDDD9i1a5d4P/X39wcAKJVKfPTRR/Dx8cEHH3wAiUSC9u3bIzU1FQsWLMCbb74JuVyOzz//HF999RUGDx4MANi4cSN8fX3Fz5ScnIyNGzfixo0b8Pb2BgBER0dj586d2LBhA5YvX66xL5RKJQRBQHl5OWQymdpzuvxbMWmQdPv2bSgUCnh4eKgd9/DwwMWLFxt0TUdHR/Tr1w/Lli1Dp06d4OHhge+++w5HjhxBcHAwACA9PV18n3vfV/XcvWJjY7F06dIax3fv3g07O7sGtbW6PXv084+wKbudJwMgwZmTx2ArkaEMEmzdvQ8+Dvp9H/a18bCvjYd9rR8WFhbw9PREYWEhysrKUFxmutHsgvwCVFjJ6j8RlQMEHTt2FL/AA4CrqytCQkLEY7a2lV84b9y4gbNnz6JHjx5q53fv3r3yfQsKIJVKcerUKZw/fx7ffvuteI4qgDx79iwSExMhk8lqXEfl7Nmz6NWrFwoKCsRj3bp1Q2FhIS5cuIDc3FyUlZUhNDRUfL2FhQWCg4NRVlaZk3r8+HEoFAp07NhR7dqlpaVwcnLS+L5A5SBMcXExDh48qDa9B1Sm7WirWa5u+/rrrzFlyhS0bdsWMpkMPXv2xNNPP42TJ082+JoLFy5EdHS0+Dg/Px8+Pj4YPnw4nJycGnzd8vJy7NmzB8OGDYOlpWWDr9McLDm9D0A5hg0aiN+zziAvoxCde/bF/cGt9HJ99rXxsK+Nh32tXyUlJbh58yYcHBxgY2MDR0HAuSXDAFQGCIUFhXBwdIBEUnOl2vGkbEz5sv77zIaoXggPcKv3PFtLmcb30cTCwgL29vZq9yOZTAZHR8ca9ygbGxtYWFjA0tJS7TlVEKV6TXFxMaZPn46XXnqpxvv5+vqKgwpOTk4af/c0vYdqKs7R0VEMXu5to0wmg5WVFYDKESGZTIYTJ07UGBFycHCo9f5bUlICW1tbDBw4sMbMUm2BlSYmDZLc3d0hk8mQkZGhdjwjI6PWpGxtBAUF4cCBAygqKkJ+fj68vLwwbtw4BAYGAoB47YyMDHh5eam9b1hYmMZrWltba8yBsrS01Mt/TPq6TlNWVLW6zcneGq721gAKkV+q0Hu/sK+Nh31tPOxr/VAoFJBIJJBKpZBKK9N2HapuzkqlEopSGeytLcXnqovo4AEvZxuk55VozEuSAPB0tkFEBw+DlANQtbu+Y1KpFKGhofjtt9/UnlOtLFd99p49e+LChQto3769xvfr3r07lEol/vrrL7X0FZXQ0FBs2bIFEolEDPaOHDkCR0dH+Pr6wt3dHZaWljhx4oQ4TZeTk4PLly9j4MCBAIAePXpAoVDg9u3beOCBB7TuC6lUColEovHfhS7/TkyauG1lZYVevXph79694jGlUom9e/eiX79+jb6+vb09vLy8kJOTg127dmHMmDEAgICAAHh6eqq9b35+Po4dO6aX9yXdlVUoUaZQAgAcrC3gZl/5LYL7txFRUyGTSrB4dCiAyoCoOtXjxaNDzaJe0owZM3DlyhXMmzcPly5dwrfffosvvvhC7Zz58+fj8OHDmD17NhISEnDlyhX8+uuvYuK2v78/oqKiMGXKFPzyyy9ISkrC/v378cMPPwAAZs2ahZs3b+Kll17CxYsX8euvv2Lx4sWIjo6GVCqFg4MDpk6dinnz5uHPP//EuXPn8Nxzz6kFbu3bt8eECRMwadIk/PTTT0hKSsLx48cRGxuL7du3G7yfTL66LTo6Gp9++im+/PJLXLhwATNnzhSXLAKVmfPVE7vLysqQkJCAhIQElJWVITU1FQkJCbh69ap4zq5du7Bz504kJSVhz549GDx4MDp27CheUyKRYO7cuXjrrbfw22+/4ezZs5g0aRK8vb3x6KOPGvXzUyV5tc1t7aws4GpfGelz/zYiakpGdPHCuok94emsPsXj6WyDdRN7YkQXr1peaVy+vr7YsmULfvnlF3Tv3h3r16/H22+/rXZOt27dcODAAVy+fBkPPPAAevTogUWLFokJ1ACwbt06PPHEE5g1axY6duyIadOmiSUC2rZtix07duD48ePo3r07ZsyYgalTp+LNN98UX//OO+/ggQcewOjRozF06FDcf//96NWrl1o7Nm7ciEmTJuHVV19Fhw4d8Oijj+LEiRNqCd4GI5iBtWvXCr6+voKVlZUQHh4uHD16VHwuIiJCiIqKEh8nJSUJqFwkoPYnIiJCPGfz5s1CYGCgYGVlJXh6egovvviikJubq/aeSqVSiImJETw8PARra2thyJAhwqVLl7Ruc15engBAyMvLa/DnFgRBKCsrE3755RehrKysUddp6v7NkQt+87cJIf/ZIQiCIKzedVHwm79NiPnlrN7eg31tPOxr42Ff61dxcbGQmJgoFBcX13hOoVAIOTk5gkKhqPc6FQqlcPjqbeGXU/8Kh6/eFioUSkM0t9nSpa81qevnqMv92ywSt2fPnq1Wd6G6ewtG+fv711s74qmnnsJTTz1V5zkSiQT//e9/8d///lentpJhqGok2VtXzv272lVNt3EkiYiaIJlUgn5B+ll0QqZj8uk2IuBukKSqCSJOtzEniYiITIRBEpkF1co2B+uqIKlqJCmbQRIREZkIgyQyC6p92+yqpttUq9u4yS0REZkKgyQyC6rpthojSQySiMgE6st9JfOmr58fgyQyC2LitpiTVBkklZQrTbotABG1LKqqzqptMahpUm090tgCq2axuo2oqCoQUk232VvJYCmToFwhIEdeBlsr/WxyS0RUFwsLC9jZ2SErKwuWluqVtZVKJcrKylBSUqKx4jbpT0P7WhAEyOVyZGZmwsXFpcZWJrpikERm4d7pNolEAlc7K2QWlCJHXgZvFwZJRGR4EokEXl5eSEpKQnJystpzgiCguLgYtra2Wu+pRg3T2L52cXFp1PZmKgySyCyoVrepSgAAuBskFbFWEhEZj5WVFUJCQmpMuZWXl+PgwYMYOHAg98kzsMb0taWlZaNHkFQYJJFZuDuSdPcXW1UricnbRGRsUqm0xu7xMpkMFRUVsLGxYZBkYObS15xUJbMglgCoNpLEMgBERGRKDJLILNybkwQALiwoSUREJsQgicyCKifJvlqQ5GanGkliThIRERkfgyQyC/dW3AYAF7uqnCSOJBERkQkwSCKzoGm6TZWTlMOcJCIiMgEGSWQWxGKSVtVXtzFIIiIi02GQRGZB00iSav821kkiIiJTYJBEJqdUCpCX1SwmqUrc5kgSERGZAoMkMjl5+d0NbNVKAFQVk5SXKVBSzk1uiYjIuBgkkcnJq6bapBLAxvLur6SjtQUspJV79nA0iYiIjI1BEplcYVWQZG9lobaRoUQiuZu8zbwkIiIyMgZJZHKaCkmquFbVSuJIEhERGRuDJDI5TYUkVVyZvE1ERCbCIIlMTtPyf5W7ZQAYJBERkXExSCKT01RIUuVuQUnmJBERkXExSCKTq3skifu3ERGRaTBIIpNTBUnVC0mqcP82IiIyFQZJZHJ1r27jdBsREZkGgyQyOdXqNgdNq9uqqm4zcZuIiIyNQRKZXF3TbSwBQEREpsIgiUyOJQCIiMgcMUgikxNLAGicbrMSzymt4Ca3RERkPAySyOTqGklysrGArGqT21wmbxMRkRExSCKTu1tMsmaQJJFIWCuJiIhMgkESmZxqJMlew3QbwORtIiIyDQZJZHJ1TbcB1ZO3Od1GRETGwyCJTK6uEgBAtVpJHEkiIiIjYpBEJiUIgpiTVNtIkrg1CXOSiIjIiBgkkUmVViihUAoANJcAAACXqum2bI4kERGRETFIIpNSTbUBgH0t021uVUESSwAQEZExMUgik5JXTbXZWErFekj3cmEJACIiMgEGSWRShfWsbAPu5iTlcrqNiIiMiEESmZS8rO6VbQBzkoiIyDQYJJFJFZZWTrfZazGSxDpJRERkTAySyKTuFpLUvLINuJu4XVhagbIKpVHaRURExCCJTKq+QpIA4GhjAVVON/OSiIjIWBgkkUnVtyUJAEilkmr7t3HKjYiIjINBEpmUqtq2nVXt020AywAQEZHxMUgik1KNJNWVuA1US97mdBsRERkJgyQyKVUxSfs6ErcBVJtuY5BERETGwSCJTKpQy5EkMUjidBsRERkJgyQyKW0StwHA1Z6J20REZFwMksik7iZu1zeSVJm4zZEkIiIyFgZJZFLaFJMEqo8kMUgiIiLjYJBEJqVNMUngbk5SNqfbiIjISBgkkUkVlWlbAoDTbUREZFwMksik5KUsAUBEROaJQRKZlFgCQMvptoKSCpQruMktEREZnsmDpI8++gj+/v6wsbFB3759cfz48VrPPX/+PB5//HH4+/tDIpEgLi6uxjkKhQIxMTEICAiAra0tgoKCsGzZMgiCIJ5TWFiI2bNno127drC1tUVoaCjWr19viI9HdahQKFFaURnw1Dfd5mRrWW2TW+YlERGR4Zk0SNq8eTOio6OxePFixMfHo3v37oiMjERmZqbG8+VyOQIDA7FixQp4enpqPGflypVYt24dPvzwQ1y4cAErV67EqlWrsHbtWvGc6Oho7Ny5E5s2bcKFCxcwd+5czJ49G7/99ptBPidpplr+D9Q/3SaTSuBsW5WXxCk3IiIyApMGSWvWrMG0adMwefJkcTTHzs4OGzZs0Hh+nz598M4772D8+PGwtrbWeM7hw4cxZswYjBo1Cv7+/njiiScwfPhwtRGqw4cPIyoqCoMGDYK/vz+mT5+O7t271zmKRfqnWtlmKZPA2qLuIAm4WwaAm9wSEZEx1D3HYUBlZWU4efIkFi5cKB6TSqUYOnQojhw50uDr9u/fH5988gkuX76M9u3b4/Tp0zh06BDWrFmjds5vv/2GKVOmwNvbG/v378fly5fx3nvv1Xrd0tJSlJaWio/z8/MBAOXl5Sgvb/j0j+q1jblGU5VXVAIAsLOSafX5XatGkm7nFzeov1pyXxsb+9p42NfGw742HkP2tS7XNFmQdPv2bSgUCnh4eKgd9/DwwMWLFxt83QULFiA/Px8dO3aETCaDQqHA8uXLMWHCBPGctWvXYvr06WjXrh0sLCwglUrx6aefYuDAgbVeNzY2FkuXLq1xfPfu3bCzs2twe1X27NnT6Gs0NckFAGABqaIcO3bsqPf80gIpACn+Oh4PRbJQ7/m1aYl9bSrsa+NhXxsP+9p4DNHXcrlc63NNFiQZyg8//IBvvvkG3377LTp37oyEhATMnTsX3t7eiIqKAlAZJB09ehS//fYb/Pz8cPDgQbz44ovw9vbG0KFDNV534cKFiI6OFh/n5+fDx8cHw4cPh5OTU4PbW15ejj179mDYsGGwtLRs8HWaoiPX7wDnTqKVswNGjhxQ7/l/lZ7HuZxUtAvsgJERgTq/X0vua2NjXxsP+9p42NfGY8i+Vs0EacNkQZK7uztkMhkyMjLUjmdkZNSalK2NefPmYcGCBRg/fjwAoGvXrkhOTkZsbCyioqJQXFyM//znP/j5558xatQoAEC3bt2QkJCA1atX1xokWVtba8yDsrS01MsPUF/XaUpKKlOS4GCj3Wdv5VDZ/3klikb1VUvsa1NhXxsP+9p42NfGY4i+1uV6JkvctrKyQq9evbB3717xmFKpxN69e9GvX78GX1cul0MqVf9YMpkMSmXlUnNVDlFd55BxyMu0KySpIiZuc3UbEREZgUmn26KjoxEVFYXevXsjPDwccXFxKCoqwuTJkwEAkyZNQtu2bREbGwugMtk7MTFR/HtqaioSEhLg4OCA4OBgAMDo0aOxfPly+Pr6onPnzjh16hTWrFmDKVOmAACcnJwQERGBefPmwdbWFn5+fjhw4AC++uorteRuMjxtC0mquFUVlGSdJCIiMgaTBknjxo1DVlYWFi1ahPT0dISFhWHnzp1iMndKSoraiM+tW7fQo0cP8fHq1auxevVqREREYP/+/QAq841iYmIwa9YsZGZmwtvbGy+88AIWLVokvu7777/HwoULMWHCBGRnZ8PPzw/Lly/HjBkzjPPBCcDdEgAO9RSSVHGxqxwiZQkAIiIyBpMnbs+ePRuzZ8/W+Jwq8FHx9/dXq5ytiaOjI+Li4jRW41bx9PTExo0bdW0q6ZmqmKSdltNtbvaqkSQGSUREZHgm35aEWi7VSFJ9W5KouNixmCQRERkPgyQyGXmZjjlJVSNJ+SUVqOAmt0REZGAMkshkCktVq9u0C5KcbS0hUW1yW8zkbSIiMiwGSWQycnF1m3Y5SWqb3HLKjYiIDIxBEplMoY45ScDdMgA5LANAREQGxiCJTEZVTFLbEgAAywAQEZHxMEgik1GtbrPTcroNYBkAIiIyHgZJZDINmW4TywAwSCIiIgNjkEQmc3fvNh1ykqpGkpi4TUREhsYgiUxCEAQUqeokaVlxGwBcmbhNRERGwiCJTKK4XAHVDjPaFpMEAFc7lgAgIiLjYJBEJqHKR5JIAFtLHUaSVNNtzEkiIiIDY5BEJiGvqrZtZymDVCrR+nWcbiMiImNhkEQm0ZCVbQDgZs86SUREZBwMksgkVDWSdCkkCdwdScovKecmt0REZFAMksgkVMv/7XRY2QZA3LtNEIA8bnJLREQGxCCJTEKcbtNhZRsAWMikdze5ZV4SEREZEIMkMgl5WcNykoBqZQC4wo2IiAyoQUHSX3/9hYkTJ6Jfv35ITU0FAHz99dc4dOiQXhtHzVdhqe7VtlVcWXWbiIiMQOcgacuWLYiMjIStrS1OnTqF0tJSAEBeXh7efvttvTeQmie5ON2mW04SUL0MAIMkIiIyHJ2DpLfeegvr16/Hp59+CktLS/H4gAEDEB8fr9fGUfNV2KjptqpNbouYk0RERIajc5B06dIlDBw4sMZxZ2dn5Obm6qNN1AIUNbBOEnC3VlIuR5KIiMiAdA6SPD09cfXq1RrHDx06hMDAQL00ipo/VcXthky3uYgjSQySiIjIcHQOkqZNm4aXX34Zx44dg0Qiwa1bt/DNN9/gtddew8yZMw3RRmqGGlpxGwDc7Lk1CRERGZ7Od6gFCxZAqVRiyJAhkMvlGDhwIKytrfHaa6/hpZdeMkQbqRlSFZO017GYJMASAEREZBw6B0kSiQRvvPEG5s2bh6tXr6KwsBChoaFwcHAwRPuomWpoMUmg2uo2TrcREZEB6X6HqmJlZYXQ0FB9toVakMYUk7w73cYgiYiIDEfnO1RJSQnWrl2Lffv2ITMzE0ql+iajLANA2ihqRDFJVeJ2bnE5FEoBMqlEr20jIiICGhAkTZ06Fbt378YTTzyB8PBwSCS8QZHuiqpGkhwakJPkYnd3k9v84nKxAjcREZE+6Rwkbdu2DTt27MCAAQMM0R5qIVR1kuwakJNkKZPC0cYCBSUVyJaXMUgiIiKD0LkEQNu2beHo6GiItlALUVqhQLlCANCw6Tbgbl4SC0oSEZGh6Bwkvfvuu5g/fz6Sk5MN0R5qAVSFJIGGFZMEuDUJEREZns5f43v37o2SkhIEBgbCzs5Obf82AMjOztZb46h5Ui3/t7aQwkKmc5wOoFqtJJYBICIiA9E5SHr66aeRmpqKt99+Gx4eHkzcJp3dLSTZ4AoUYh4SywAQEZGh6HyXOnz4MI4cOYLu3bsboj3UAtzdkqRhU21Atek2BklERGQgOs91dOzYEcXFxYZoC7UQYiHJBqxsUxETt5mTREREBqJzkLRixQq8+uqr2L9/P+7cuYP8/Hy1P0T1KWrE5rYqqlpJHEkiIiJD0fkuNWLECADAkCFD1I4LggCJRAKFQqHpZUSiwkZU21Zx4/5tRERkYDrfpfbt22eIdlALcne6rRE5SUzcJiIiA9M5SIqIiDBEO6gFKdTDdJsqcTtHzpwkIiIyDK3uUmfOnEGXLl0glUpx5syZOs/t1q2bXhpGzZeqmGTjRpIqc5Jy5WVQKgVIucktERHpmVZBUlhYGNLT09GmTRuEhYVBIpFAEIQa5zEnibShj5EkF9vKkSSlAOSXlMPFjvu3ERGRfml1l0pKSkLr1q3FvxM1hpiT1IggycpCCkdrCxSUViC7qIxBEhER6Z1Wdyk/Pz/IZDKkpaXBz8/P0G2iZq5ID9NtQGXydkFpBfOSiIjIILSuk6Rpeo2oIYr0MJIEcP82IiIyrIbtLkrUCPooJgmwDAARERmWTnepzz77DA4ODnWeM2fOnEY1iJo/fRSTBKqXAWCQRERE+qfTXWr9+vWQyWrPI5FIJAySqF76KCYJsFYSEREZlk5B0j///IM2bdoYqi3UQuhrus3NnjlJRERkOFrnJEkkLNZH+nF3dVvjgiTVsv9sBklERGQAXN1GRqVQCiguV+UkNW66za0qcTuX021ERGQAWgdJixcvrjdpm6g+qnwkoPHTbS5VJQCymbhNREQGoPVdavHixYZsB7UQqqk2mVQCa4vGVaC4O5LEIImIiPSPdZLIqMR926xkjc5zq766TankdDAREekXgyQyKn3s26aimm5TKAUUlFTUczYREZFuGCSRURXqafk/AFhbyOBQdR0WlCQiIn1jkERGJdfT5rYqTN4mIiJD0TlIysjIwLPPPgtvb29YWFhAJpOp/dHVRx99BH9/f9jY2KBv3744fvx4reeeP38ejz/+OPz9/SGRSBAXF1fjHIVCgZiYGAQEBMDW1hZBQUFYtmxZjRIGFy5cwCOPPAJnZ2fY29ujT58+SElJ0bn9pBt9bW6rwuRtIiIyFJ3vVM899xxSUlIQExMDLy+vRiXfbt68GdHR0Vi/fj369u2LuLg4REZG4tKlSxore8vlcgQGBuLJJ5/EK6+8ovGaK1euxLp16/Dll1+ic+fO+OeffzB58mQ4OzuLW6Zcu3YN999/P6ZOnYqlS5fCyckJ58+fh42NTYM/C2lHtbrNrpGFJFXuFpRkrSQiItIvne9Uhw4dwl9//YWwsLBGv/maNWswbdo0TJ48GUDl3nDbt2/Hhg0bsGDBghrn9+nTB3369AEAjc8DwOHDhzFmzBiMGjUKAODv74/vvvtObYTqjTfewMiRI7Fq1SrxWFBQUKM/D9VPtSWJQyMLSaq42XFrEiIiMgydgyQfHx+9VN8uKyvDyZMnsXDhQvGYVCrF0KFDceTIkQZft3///vjkk09w+fJltG/fHqdPn8ahQ4ewZs0aAIBSqcT27dvx+uuvIzIyEqdOnUJAQAAWLlyIRx99tNbrlpaWorS0VHycn58PACgvL0d5ecNHMVSvbcw1mpKC4spgxtZSqpfP7Gxb+St8p7Ck3uu1tL42Jfa18bCvjYd9bTyG7GtdrqlzkBQXF4cFCxbg448/hr+/v64vF92+fRsKhQIeHh5qxz08PHDx4sUGX3fBggXIz89Hx44dIZPJoFAosHz5ckyYMAEAkJmZicLCQqxYsQJvvfUWVq5ciZ07d2Ls2LHYt28fIiIiNF43NjYWS5curXF89+7dsLOza3B7Vfbs2dPoazQFZ29IAUiR8W8Kduy40ejrZf0rASDD6YvXsKP8ilavaSl9bQ7Y18bDvjYe9rXxGKKv5XK51ufqHCSNGzcOcrkcQUFBsLOzg6Wlpdrz2dnZul5Sr3744Qd88803+Pbbb9G5c2ckJCRg7ty58Pb2RlRUFJRKJQBgzJgxYl5TWFgYDh8+jPXr19caJC1cuBDR0dHi4/z8fPj4+GD48OFwcnJqcHvLy8uxZ88eDBs2rEZfNkeHf00E0v5Fl04hGDm48VOcOcdvYsfNC3B098TIkWF1ntvS+tqU2NfGw742Hva18Riyr1UzQdpo0EiSPri7u0MmkyEjI0PteEZGBjw9PRt83Xnz5mHBggUYP348AKBr165ITk5GbGwsoqKi4O7uDgsLC4SGhqq9rlOnTjh06FCt17W2toa1tXWN45aWlnr5AerrOuaupKIySHWytdLL53V3rEy2zy2u0Pp6LaWvzQH72njY18bDvjYeQ/S1LtfTOUiKiorS9SUaWVlZoVevXti7d6+YC6RUKrF3717Mnj27wdeVy+WQStUrG8hkMnEEycrKCn369MGlS5fUzrl8+TL8/Pwa/L6knSI9FpMEADc7lgAgIiLDaNCdSqFQ4JdffsGFCxcAAJ07d8Yjjzyic52k6OhoREVFoXfv3ggPD0dcXByKiorE1W6TJk1C27ZtERsbC6Ay2TsxMVH8e2pqKhISEuDg4IDg4GAAwOjRo7F8+XL4+vqic+fOOHXqFNasWYMpU6aI7ztv3jyMGzcOAwcOxODBg7Fz505s3boV+/fvb0h3kA7ulgDQVzFJlgAgIiLD0DlIunr1KkaOHInU1FR06NABQGVSs4+PD7Zv367TUvpx48YhKysLixYtQnp6OsLCwrBz504xmTslJUVtVOjWrVvo0aOH+Hj16tVYvXo1IiIixABn7dq1iImJwaxZs5CZmQlvb2+88MILWLRokfi6xx57DOvXr0dsbCzmzJmDDh06YMuWLbj//vt17Q7SkaqYpIMBikkKgtDoTXOJiIhUdL5TzZkzB0FBQTh69Cjc3NwAAHfu3MHEiRMxZ84cbN++XafrzZ49u9bptXtHdvz9/estP+Do6Ii4uLh6c6emTJmiNrpExqHv6TbVtiQVSgEFpRVwsmGeABER6YfOd6oDBw6oBUgA0KpVK6xYsQIDBgzQa+Oo+SkS927TT5BkYymDnZUM8jIFcorKGCQREZHe6Lx3m7W1NQoKCmocLywshJWVlV4aRc3X3ZEk/eQkAYBrVV5Sjpx5SUREpD86B0kPP/wwpk+fjmPHjkEQBAiCgKNHj2LGjBl45JFHDNFGaiYEQdD7BrcA4GrPrUmIiEj/dA6SPvjgAwQFBaFfv36wsbGBjY0NBgwYgODgYLz//vuGaCM1EyXlSiirUsr0GiSJK9wYJBERkf7ofKdycXHBr7/+iitXrojbh3Tq1Elcgk9UG9UoEgDYWepvuk21wi2HtZKIiEiPGvx1PiQkBCEhIfpsCzVzqnwkOysZpFL9LdW/m5PEIImIiPRHqyApOjoay5Ytg729vdr+ZZqsWbNGLw2j5uduIUn9TbUBTNwmIiLD0OpuderUKZSXl4t/J2qIu4Uk9TfVBjBxm4iIDEOrIGnfvn0a/06ki0I9F5JUYeI2EREZgs6r26ZMmaKxTlJRURErWFOd5HouJKlyd2sSTrcREZH+6BwkffnllyguLq5xvLi4GF999ZVeGkXNkyEKSQJ3tybJZuI2ERHpkdZf6fPz88XikQUFBbCxsRGfUygU2LFjB9q0aWOQRlLzoMpJstPzdBs3uSUiIkPQ+m7l4uICiUQCiUSC9u3b13heIpFg6dKlem0cNS+qkSQHA61uK1cIKCytgCP3byMiIj3Q+m61b98+CIKABx98EFu2bFHb4NbKygp+fn7w9vY2SCOpeSgqqyoBoOfpNhtLGWwtZSguVyBXXs4giYiI9ELrICkiIgIAkJSUBF9fX05pkM7EkSQ9T7cBgKudJYrzFMguKoOPm53er09ERC2Pzner5ORkJCcn1/r8wIEDG9Ugar5UxST1XQIAAFztrXArr4TJ20REpDc6360GDRpU41j1USWFQtGoBlHzJa5us9LvdBugnrxNRESkDzqXAMjJyVH7k5mZiZ07d6JPnz7YvXu3IdpIzYRqdZshRpJcxIKSrJVERET6ofPdytnZucaxYcOGwcrKCtHR0Th58qReGkbNz90NbvUfJLlV1UriSBIREemLziNJtfHw8MClS5f0dTlqhlQ5SYZI3Hbh1iRERKRnOt+tzpw5o/ZYEASkpaVhxYoVCAsL01e7qBm6W0zScDlJORxJIiIiPdE5SAoLC4NEIoEgCGrH77vvPmzYsEFvDaPmx6AlAFRBEnOSiIhIT3S+WyUlJak9lkqlaN26tdo2JUSaqIpJGqQEQFVOEkeSiIhIX3S+W/n5+RmiHdTMlSuUKKtQAjBMCQDV1iQMkoiImjaFUsCxpGycvC1Bq6Rs9AtuA5nUNAWsdQ6S5syZg+DgYMyZM0ft+IcffoirV68iLi5OX22jZkQ11QYYZnVb9ek2bnJLRNQ07TyXhqVbE5GWVwJAhq+u/AMvZxssHh2KEV28jN4enVe3bdmyBQMGDKhxvH///vjxxx/10ihqflRTbVYyKaws9LaoUuRWNZJUplCK70VERE3HznNpmLkpvipAuis9rwQzN8Vj57k0o7dJ57vVnTt3NNZKcnJywu3bt/XSKGp+xGrbBljZBgC2VjLYWFb+OuewDAARUZOiUApYujURgobnVMeWbk2EQqnpDMPROUgKDg7Gzp07axz//fffERgYqJdGUfNjyEKSKsxLIiJqmg5fvV1jBKk6AUBaXgmOJ2Ubr1FoQE5SdHQ0Zs+ejaysLDz44IMAgL179+Ldd99lPhLVypCFJFVc7ayQlleCHDnLABARmbM7haWIT8nFyeQcxCfnID4lR6vXZRbUHkgZgs53rClTpqC0tBTLly/HsmXLAAD+/v5Yt24dJk2apPcGUvNgyEKSKq72VWUAON1GRGQ2lEoBVzILcTI5pzIoSslB0u2iBl2rjaNxyw016Gv9zJkzMXPmTGRlZcHW1hYODg76bhc1M4YsJKnC6TYiItMrLK3A6Zu5akFRQUlFjfNC2jigl58revm5IszHBc9uOI6MvBKNeUkSAJ7ONggPcDN4+6tr0B2roqIC+/fvx7Vr1/DMM88AAG7dugUnJycGTKSRWEjSGDlJHEkiIjIKQRDwb06xGBCdTM7BxfR83JtfbWclQ5iPC3r5uaKnnyt6+rjCuaoIsMqS0aGYuSkeEkAtUFIVdFk8OtTo9ZJ0vmMlJydjxIgRSElJQWlpKYYNGwZHR0esXLkSpaWlWL9+vSHaSU2cmLht0Om2qk1uOZJERGQQpRUKnEvNR7wqKErJQVZBaY3z2rrYord/5ShRT19XdPR0hIWs7rViI7p4Yd3EntXqJFXyNGGdJJ2DpJdffhm9e/fG6dOn0apVK/H4Y489hmnTpum1cdR8GGO6zU3cmoSJ20RE+pBVUIr4lBwxKDqTmifunqBiKZOgs7ezOHXW09cVns4Nyx0a0cULw0I9ceRqJnb/dQzDH+jbtCpu//XXXzh8+DCsrKzUjvv7+yM1NVVvDaPmRbW6zaAlAOw53UZE1FAKpYDLGQXiirOTKTlIviOvcV4reyv0rAqIevm5omtbZ9hY6m+WQCaVoG+AG+5cENA3wM1kARLQgCBJqVRCoahZ0fjff/+Fo6OjXhpFzc/dkSQDTreJidscSSIiqk9BSTkSqiVYn0rJRWGpeoK1RAK0b+OoFhT5t7JrMVs/6RwkDR8+HHFxcfjkk08AABKJBIWFhVi8eDFGjhyp9wZS8yCWAGDiNhGR0QmCgJRsuVqC9aWMAgj3JFjbW8nQw9dVDIrCfFzgbGup+aItgM53rHfffReRkZEIDQ1FSUkJnnnmGVy5cgXu7u747rvvDNFGagaMUgKgqk5StryMm9wSUYtWUq7A+Vt5+OfG3WX4twtrfoH0cbNFL1/VKJEbOng6mnR6y9zofMdq164dTp8+jc2bN+P06dMoLCzE1KlTMWHCBNja2hqijdQMiCUADJm4XZWTVFahRHG5wqCjVkRE5iSzoOTuirPkHJxLzUeZQj3B2komRZe2TmoJ1m2cjFucsanR+S6SlZWF1q1bY8KECZgwYYLac2fPnkXXrl311jhqPoxRAsDWUgYrCynKKpTILipjkEREzZJCKeBiuvoy/JvZxTXOc3ewEgOiXn6u6Oyt3wTrlkDnu0jXrl3x+eefY9SoUWrHV69ejZiYGBQX1/xBERljuk0ikcDNzgrp+SXIlZejnavB3oqIyGjyiu8mWMcn5+BUSo44Oq8ikQAdPBzVgiJft5aTYG0oDdrg9vHHH8fkyZOxZs0aZGdnY9KkSTh79iy+/fZbQ7SRmgHVP2g7K8N+i3Gxs0R6fgmym0nytkIp4HhSNjILStDGsbIkP/MFiJovQRBw487dBOv45BxczqyZYO1gbYEevi5q23o42rTcBGtD0TlIev311zFs2DA8++yz6NatG7Kzs9G3b1+cOXMGnp6ehmgjNQPGGEkC7uYlNYf923aeS6tRedbLhJVniUj/SsoVOJuqnmCt6UueXyu7ygTrqirWIW2YYG0MDbpjBQcHo0uXLtiyZQsAYNy4cQyQqFZKpQB5meGLSQLNp6DkznNpmLkpvsZGj+l5JZi5KR7rJvZkoETUBGXkl6gtwz9/Kw/lCvV/6VYWUnRr63x3nzNfV7R2tDZRi1s2ne9Yf//9NyZOnAg3NzecOXMGf//9N1566SXs2LED69evh6srE0FInbz87ty5oUeSXO1UZQCabkFJhVLA0q2JGnfCFlC52ePSrYkYFurJb5JEZqxCocTF9AK1oCg1t2bebmtHa/RWrTjzc0VnbydYWzDB2hzofMd68MEH8corr2DZsmWwtLREp06dMHjwYEycOBFdu3bFv//+a4h2UhMmr5pqk0oAG8u6NzhsLLeqgpK5TXi67XhSttoU270EAGl5JTielI1+Qa1qPY+IjCtPXo74m3f3OUu4mSuOoqtIJUBHTye1BOt2rrZMsDZTOgdJu3fvRkREhNqxoKAg/P3331i+fLneGkbNh6rMvb2VhcH/I3CpCpKacuJ2ZkHtAVJDziMi/RMEAddvF93d5yw5B1cyC2uc52hjgZ6+dwOi7j4uBh9RJ/3R+Sd1b4CkIpVKERMT0+gGUfMjN0IhSRVV4nZuE55ua+OoXXE3bc8josYrLlMgPjkbe1Il+HXTKZy6matxn8gAd3u1oCikjQOknBZvsrS+a40cORLfffcdnJ2dAQArVqzAjBkz4OLiAgC4c+cOHnjgASQmJhqkodR0FRqhkKSKiyonqQmPJIUHuMHDyRoZ+aV1nnfk+m308nOFlYVhpzCJWqK0vGK1Zfjnb+WjQikAkAHIAgBYW0jRvZ2LuM9ZT18XtHJggnVzonWQtGvXLpSW3v1P++2338ZTTz0lBkkVFRW4dOmS3htITZ+xlv8DzaMEgEwqQZiPC3adz6jzvA/2XsXu8xlY/WR3dGnrbKTWEZm3htQWK1cocTGtACeTs/FPVVB0S0NeYBtHa3hbFmNk304ID3RHqJcTv6Q0c1rftYR7Klnd+5ioNsYqJAkArnZNP0hKzS3GvkuV31Rd7SzVhvS9nG2w6OFQlCsFLP71HC6mF2DMR39jZkQQXhoSzBUx1KJpW1ssV16G+JS7K85O38xDcbl6grVMKkEnL0f08nUVR4ra2Fvg999/x8j+frC0ZOHGloDZY2RwxhxJUtVJKilXorhMAVsjBGb69u6uSyirUOK+QDdsmtoXJ27kaPxW3D+oFRb/eh7bz6bhw31XsTsxHaue6I4wHxfTfgAiE6irttiMTfF49j5flFYocTI5B9eyimq83snG4u7Gr36u6N7OpUYeZXl50811pIbR+q4lkUhqrEzikkXShri5rRE2nLW3ksFKJkWZQokceRlsrWwN/p76dC41Dz+dSgUAvDEyFBYyaa3L/N0drPHRhJ54+GwaYn49h8sZhRj7f39j2gOBeGVYe25kSS1GfbXFAODroylqxwNb21dWsK4KjIJaM8GaatJpuu25556DtXVlUlpJSQlmzJgBe3t7AFDLVyKqrqjUeKvbJBIJXOwskVlQiuyiMni7NJ0gSRAELN9+AQDwaJg3urbTLs/ooa5euC+wFZZuPY9fEm7h44PXsedCBt55oht6+bkZsslEZqG+2mIqY7p745Ewb/TwdRXzF4nqovVdKyoqSu3xxIkTa5wzadKkxreImh15mWq6zTgjG272VsgsKG1yeUn7LmXiyPU7sLKQ4rXIDjq91tXeCnHje2BUN2+88fNZXM8qwhPrj2By/wDMi+zQJKcdibSRV1yOb44la3Xug53aYEgnDwO3iJoTrYOkjRs3GrId1IwVGnG6DaievN108gcqFEq8veMiAGDyAH+0c7Vr0HWGhXog3N8Ny7Yn4seT/2LD30nYezEDKx/vhvsCWZ2bmo9bucXYcCgJ3x1PEReH1Ie1xUhXTNwmgzNm4jYAuNpXrjppSpvcbv7nJq5mFsLVzhKzBgU36lrOdpZY/WR3jOrmhf/8dBbJd+QY/8lRPHufHxY81NEo055EhnIhLR+fHLyOradvVdUtAtq3cUBGQSnyi8s15iVJAHg6Vy58INKFWRR4+Oijj+Dv7w8bGxv07dsXx48fr/Xc8+fP4/HHH4e/vz8kEgni4uJqnKNQKBATE4OAgADY2toiKCgIy5Ytq7VswYwZM2q9FjWeWALASNNtTa0MQGFpBd7bcwUA8PKQEDjb6mdp8eAObbDrlYF4OtwHAPD10WQMf+8gDl25rZfrExmLIAg4fPU2Jm04jofe/ws/n0pFhVJAv8BW+GJyH+x6ZSBWPt4VQGVAVJ3q8eLRodwQmnRm8iBp8+bNiI6OxuLFixEfH4/u3bsjMjISmZmZGs+Xy+UIDAzEihUr4OnpqfGclStXYt26dfjwww9x4cIFrFy5EqtWrcLatWtrnPvzzz/j6NGj8Pb21uvnoruMPpKkCpKayEjSJweu4XZhKfxb2eGZvn56vbaTjSVix3bDpql90c7VFqm5xZj4+TEs/OkM8kuaznQktUwVCiV+O30Loz88hGc+O4aDl7MglQAPd/PCb7MH4Lvp92FQhzaQSCQY0cUL6yb2hKez+pSap7MN1k3sqVYniUhbJh93X7NmDaZNm4bJkycDANavX4/t27djw4YNWLBgQY3z+/Tpgz59+gCAxucB4PDhwxgzZgxGjRoFAPD398d3331XY4QqNTUVL730Enbt2iWeS/XTtaLt3WKSxppuazo5Sel5Jfjkr+sAgAUPdTRY9d77Q9yxa+5ArNx5EV8dScZ3x29i/6UsxI7tikEd2hjkPYkaSl5WgR9O3MRnh5Lwb04xAMDGUopxvX0w9f5A+LbSnLM3oosXhoV66lxxm6g2Jg2SysrKcPLkSSxcuFA8JpVKMXToUBw5cqTB1+3fvz8++eQTXL58Ge3bt8fp06dx6NAhrFmzRjxHqVTi2Wefxbx589C5c+d6r1laWqpW5iA/Px9AZXGxxhQYU722qRQp23U+A2/tuIj0avuKeTpZ482RHRHZWfOqkcKqEQsbmXE+p7N1ZaBxp7BU7f3Msa/f2XUBJeVK9PJ1wYPtWxm0bVZSIGZkBwzv1Br/+eU8UrKL8dzGExjbwxv/eaiD3qb5APPs6+aqOfX1ncJSfH3sJr45dhO5xZWfx9XOEs/e54sJ4T7isv36PmtvXycATgAApaICSu3yuuvVnPra3Bmyr3W5pkmDpNu3b0OhUMDDQ/3m6uHhgYsXLzb4ugsWLEB+fj46duwImUwGhUKB5cuXY8KECeI5K1euhIWFBebMmaPVNWNjY7F06dIax3fv3g07u4atRKpuz549jb6GoZ2+I8GGy6qRjrvfzNLzSzD7+wRMaa9E91Y1877u5MkASJDwz1FkN/zHqrUrORIAMiSn38aOHTtqPG8ufZ1aBPx0prJvBjrdxu+//260934pGNh+U4oDaRL8dOoW/jiXinGBSnRx0+92Q+bS1y1BU+7rzGJgX5oUJzIlKBcq/29xtxYw2FuJ8NYVsCq+hKMHzGdv0Kbc102NIfpaLpdrfa7Jp9sM4YcffsA333yDb7/9Fp07d0ZCQgLmzp0Lb29vREVF4eTJk3j//fcRHx+vddXwhQsXIjo6Wnycn58PHx8fDB8+HE5OTg1ua3l5Ofbs2YNhw4aZ9V5ACqWA2HcPAtBUNFQCCYDfM+zw+oSBNYa2Y079CaACwwZHIKi1vcHb2u7fPHx88RiUFrYYOXKgeNzc+nrylych4A5GdvHArHHdjf7+jwKIT8nFwp/P4fptOT69JMPobp6IGdVRzOtqKHPr6+asKff1qZu5+OzQDey5kAnVuppu7Zww7f4ADOvUxuymyZpyXzc1huxr1UyQNkwaJLm7u0MmkyEjQ32384yMjFqTsrUxb948LFiwAOPHjwcAdO3aFcnJyYiNjUVUVBT++usvZGZmwtfXV3yNQqHAq6++iri4ONy4caPGNa2trcVq49VZWlrq5Qeor+sYyj/X7qhNsd1LAJCWV4pT/xaobaMhCALkVTlJLvY2RvmMrZ0qR/Zy5OUa388c+vrA5SwcunoHljIJFjwUarL29A1qjR0vD8R7f1zGpwevY+uZdBy5no1lY7rgoa6NT3Q1h75uKZpKXyuVAv68mImPD17DiRs54vEhHdtg+sBAhAe4mf2WV02lr5sDQ/S1LtczaZBkZWWFXr16Ye/evXj00UcBVOYK7d27F7Nnz27wdeVyOaRS9QRYmUwGpVIJAHj22WcxdOhQtecjIyPx7LPPignkpC6zoP6S/5rOK61QirVMjFYCoKpOUnG5AiXlCrPbw0yhFBC7o3L7kah+/rUmoRqLjaUMCx/qhIe6eGHe/07jSmYhZn4Tj5FdPfHfMV3g7lDzywGRrkorFPj11C18fPCauMGspUyCR8PaYvrAQIR4OJq4hUQ1mXy6LTo6GlFRUejduzfCw8MRFxeHoqIiMViZNGkS2rZti9jYWACVyd6JiYni31NTU5GQkAAHBwcEB1cW4Rs9ejSWL18OX19fdO7cGadOncKaNWswZcoUAECrVq3QqpV69WFLS0t4enqiQwfdtoNoKbStVHvvearl/wBgb6TVbQ7WFrCQSlChFJAjL4OXs3nt37bl5L+4mF4AJxsLzH6wcYUj9SnMxwXb5tyPtXuvYt2Ba9hxNh1Hrt3Bkkc645Hu3mb/7Z7Mk2rbkC/+voHMgsrRaEdrC0y4zw+TB/jDw4lVsMl8mTxIGjduHLKysrBo0SKkp6cjLCwMO3fuFJO5U1JS1EaFbt26hR49eoiPV69ejdWrVyMiIgL79+8HAKxduxYxMTGYNWsWMjMz4e3tjRdeeAGLFi0y6mdrTsID3ODlbIP0vBKdKtqqptpsLKVGyy+QSCRwtbdCVtUmt+YUJMnLKrB6d2UC6pwhIXBpZO6PvllbyPBaZAeM6OKJeT+ewYW0fLz8fQK2nUnD8ke7oA1vaKQlTduGeDrZYOr9ARgf7gNHG05XkfkzeZAEALNnz651ek0V+Kj4+/vXWjlbxdHREXFxcTpV0NaUh0R3yaQSLB4dipmb4ms8V1dF20IjF5JUcbOrDJJyzaxW0qcHk5BZUAofN1s820+/hSP1qUtbZ/z64gCs238NH+67gj2JGTielI1FD4dibM+2HFWiWmnaNqSDhyOmDwzE6O7eBqsFRmQIZhEkUdMwoosX5o/oiBU71dfxezrbYPHoUI0VbeVllUGSsfcLc7Gr/JaabUZVtzMLSvDxwWsAgNcjO8Lawrxype5lZSHFy0NDENnFA/P+dwZnU/Pw6v9OY9uZW3h7bFezGqEj0xIEAUeu3cH6g9dx8HKWeLxfYCu8EBGIiPatGVhTk8QgiXRyb8n/bu2c8fOsAbVOpRWWGrfatoqq6FyuGe3f9t6eK5CXKRDm44KHuzWdLRI6ejrh51n98fHB63j/jyvYdykLw9ccxJsPd8JTvX1482vBKhRK7DiXjk8OXsO51Mpl1VIJMLKrF6YPDES3di6mbSBRIzFIIp1cv125KqWjpyMuphfgVm5JnblGcnG6zbijJqpcn+wi85huu5xRgM0nUgAAb4zq1OQCCwuZFC8ODsbwUA/M+/EMEm7mYv6Ws9h2Jg2xY7uinatpV+iRcTV02xCipoZBEunkelYhAOChLl64nFGA24Wl4h5Jmqhykow/klQ53ZZjJiNJK36/CKUARHb2QB9/t/pfYKZCPByxZWZ/bDiUhNW7L+GvK7cR+d5BLBjZCRPCfSE1s+J/pF+3C0vx1eEb+Opospjv52Zvhah+/ni2n584gkvUXDBIIp0kVY0khXo7IcDdHteyipB4Kx9tOmgOkopMlLitqhhtDkHS31dv48+LmbCQSjB/REdTN6fRZFIJpg0MxJBObTB/yxmcuJGDmF/OYfuZW1j1eHeOIjRDSbeL8Olf17Hl5L8oraisN+fXyg7THgjEE73amV0tMiJ9YZBEWhMEQQySAlvbI9TbuTJISsuvdSd51dJfOyvj/ifqKk63mTZIUioFvF1VOHLifX4IbO1g0vboU2BrB2ye3g9fHrmBVTsv4ej1bETGHcTrIzrgmd5tTd080oP4lBx8cuA6diWmi9uGdPdxwYyBgRje2dPstg0h0jcGSaS1zIJSyMsUkEkl8HG1Q6iXE7aevoXEW7Xvg6MaSTL26ra7idumzUn6JSEV52/lw9HaAnOGhJi0LYYglUoweUAAhnT0wPwtZ3Dk+h0s3ZqIbadvYUTTnVVs0ZrDtiFE+sIgibR2vWorAR9XW1hZSBHqXbmxb2Ja7UGSqpikvdETt01fAqCkXIF3dlUWjpw1OLhZ52v4trLDN8/3xbfHUxC74wJOpuTizE0ZKjxuYHpEMEccmgBuG0JUE4Mk0ppqqi3A3R4AEOrlJB6Xl1VoTM4uNPlIkumCpM8PJSEtrwRtXWwxeYC/ydphLFKpBBPv88OgDq0x/8cz+PvaHazcdRm7EjPxzhPdeJM1U9w2hKh2DJJIa0m3K1e2BbhX5tW0drRGa0drZBWU4mJ6AXr6utZ4jaqYpLETt1UlAIrKTLPJ7e3CUqzbX1k48rXI9i0qsbWdqx02RvXEoi92YluqNRJu5mLUB4fw8tAQvDAwEBYyVlw2B9w2hKh+DJJIa+JIUmt78ViolxMOFGQh8Va+xiDJVMUknWwsIJNKoFAKyJWXw9PZuEHKB3uvoLC0Al3aOmFM95aXxCyRSNDPQ8Cssf2xeOsF7LuUhXd2XcLOc+l458lu6OjpZOomtljcNoRIewySSGuqQpKB7tWCJG8nHLicVWteUpGJiklKJBK42lnhdmEpcuRlNSqFG9K1rEJ8c6yycOR/RnZq0bWDvJxtsOG5PvgpPhVLt57H2dQ8jF57CLMHh2DW4CBYclTJKLhtCFHDMEgirVQolEi5IwdwNycJuJuXVNsKtyITFZMEAFc7y8ogycjJ2yt+vwiFUsDQTm3QP8jdqO9tjiQSCR7v1Q4PhLjjzV/OYXdiBt774zJ2nk/HO090Q5e2zqZuYrPFbUOIGodBEmnl35xiVCgF2FhK4VktkbNz1Qq3i+n5UCiFGquYiky0wS0AuNqrCkoarwzAset3sCcxAzKpBAseavqFI/WpjZMNPn62F7aeScPiX8/hQlo+xnz0N2ZGBOGlIcFmv+FvU8JtQ4j0g0ESaeV6VdK2fyt7tekjv1b2sLOSQV6mQNLtIgS3US+WKC81TQkAoHIkCQCyDbzCTaEUcDwpGxn5JVi79woAYHwfHwS34Wque0kkEjzS3Rv9g1ph8a/nsf1sGj7cdxW7E9Ox6onuCPNxMXUTmzRuG0KkXwySSCuqGkmB1ZK2gcotKjp6OiI+JReJafk1giSxBIAJpttUNwRDTrftPJeGpVsTkZZXIh6TAJzGqIe7gzU+mtATD59NQ8yv53A5oxBj/+9vTHsgEK8Ma1mrAfUhsxiI+S0RP5+6xW1DiPSIQRJpRdyOxL3mthqh3k6VQdKtfDzS3Vs8XqFQiv9hG7sEAGD4/dt2nkvDzE3xEO45LgBYsOUMnG0tMKKLl0Heu7l4qKsX7gtshaVbz+OXhFv4+OB17LmQgXee6IZefizZXZ/4lBys338VexJlEPAvAG4bQqRPDJJIK/cWkqwu1Ksy8fbeFW6q2isAYGeS6TbDjSQplAKWbk2sESBVt3RrIoaF8kZVH1d7K8SN74FR3bzxxs9ncT2rCE+sP4LJ/QMwL7IDbI2875+507xtiASDO7hjRkQwtw0h0iMGSaQVTTWSVMTtSe5Z4aYqJGkpk5gkKdeQidvHk7LVptjuJQBIyyvB8aRs9Atqpff3b46GhXog3N8Ny7Yn4seT/2LD30nYezEDKx/vhvsC2Ye1bRvySHcvtFekYMoTPWFpyQKQRPrEIInqJS+rEAOCQA0jSR08HCGVVCaNZhaUoI1j5eo3Uy7/B+4mbhtiui2zoPYAqSHnUSVnO0usfrI7Hu7mhYU/nUXyHTnGf3IUk/r5Yf6IjiZZJWlq9W0b4mYrw44dKSZuJVHz1PL+xyGd3bhdWR/J1c5S3O6jOlsrGQJbO+BqZiESb+WjTYfKIElVbdsU+UjA3ZEkQ2xyqwoE9XUeqRvUoQ12vzIQb++4iO+Op+CrI8n482ImVj7eDQOCW0btKW23DSkvN16JC6KWhkES1auufCSVUC+nyiApLR+DOrQBAMjFkSTT5JS42ak2udX/TSQ8wA1ezja1TrlJAHg62yA8gMnHDeVoY4nYsV3xcDcvzN9yBv/mFGPCZ8fwdLgvFo7sCKdmurcYtw0hMh/810b1undjW01UeUnnq+Ulicv/TTWSVBUkFZZWoKxqlZ2+yKQSvDwkRONzqpTZxaNDmbStBwOC3bFr7kBM6ucHAPjueAoi3zuI/ZcyTdwy/REEAYev3sakDcfx0Pt/4edTqahQCugX2ApfTO6DnXMfwOO92jFAIjIyjiRRvcQ92zQkbauotie5UC1IkpeZrpAkADiqbXJbBldb/bbjQtVqPkuZBOWKu+vcPJ1tsHh0KJf/65G9tQX+O6YLRnatHFVKviPHcxtP4Ile7RAzKhTOdk1zVInbhhCZNwZJVC9VIcm6pts6VQVJSXeKUFRaAXtrC5MWkgQAqVQCF1tL3CkqQ7a8DK62tnq7dmpuMb47fhMAsDGqD2QyqZi0Hh7gxhEkA7kvsBV2vjwQq3dfwoa/k/DjyX9x8HIW3n6sK4aGepi6eVrjtiFETQODJKqTIAi4nqWabqs9SGrtaI02jtbILCjFxfQC9PJzFUsAmCpxG6hM3r5TVIaconKglf6CpA//vIIyhRL9Alvh/vat9XZdqp+tlQwxD4diZFdPzPvxDK5nFeH5r/7BmDBvLBndWUzYN0fcNoSoaWGQRHXKkZcjv6Qy2KkrSAIq85IyL2UhMS0fvfxcxdVtpigkqWKIMgDJd4rwwz+V1Y1fHd5eb9cl3fTyc8OOOQ/gvT8u49OD1/Frwi38ffU2lo3pgoe6mtdUZ9LtInz613VsOfkvtw0hakIYJFGdVEnbbV1s6/2PvLO3E/ZfyhKLShaZOHEbuJu8rc8yAO/vvQKFUsDA9q3R25+r10zJxlKGhQ91wkNdvPD6j6dxOaMQM7+Jx6iuXlg6pjPcHaxN2r74lBx8cuA6diWmQ6hKW+O2IURNB4MkqpM2+Ugq925PoppuM1VOEnB3k9tcPY0kXc0sxC+nUgEArw7jKJK5CPNxwdaX7seHf17F/+2/hu1n03Dk+h0seaQzRnfzMuo2HZq3DQGGdGyD6QMDuW0IURPCIInqpE2NJBVVGYCLafmoUCjF6TZTjiS5iCNJ+qmVFPfHZSgFYGgnD3T3cdHLNUk/rC1keHV4B0R2rsxVupCWjznfncK207fw1qNd0MbJsIU9a9s25NGwtpg+MBAhHo4GfX8i0j8GSVQnXYIkPzc72FnJIC9T4MadIrGYpL0JNyh1s6/MSdLHSNLF9HxsO5MGAIjmKJLZ6tLWGb++OADr9l/Dh/uuYHdiBo4lZWPRw6EY27Ot3kdx6ts2xMPAwRkRGQ6DJKpTXRvb3ksqlaCTlxNOJufg/K18kxeTBKqNJOkhSHpvz2UAwKiuXuKoGZknKwspXh4agsguHpj3vzM4m5qHV/93GtvO3MLbY7vCy7nxKx213TaEiJouBklUK6VSEIMkTRvbahJaFSQlpuWLxSRNWQJAtTVJTiMTt8/+m4dd5zMgkQBzh2qutE3mp6OnE36e1R8fH7yO9/+4gn2XsjB8zUG8+XAnPNXbp0GjStw2hKjlYJBEtUrLL0FphRKWMgnaumj3zVs1wpJ4K19c3WaqvduAu5vc5jRy/7Y1ey4BAB4Na8vckibGQibFi4ODMTzUA/N+PIOEm7mYv+Ustp1JQ+zYrmjnWlm4UaEUcDwpW2NRUEEQcOTaHaw/eB0HL2eJ1+4X2AovRAQion1rJmMTNUMMkqhWSVXJp75udrCQafftWLU9SeKtfPEGY9oSAFV1khoxknQyOQf7LmXVuV8bmb8QD0dsmdkfGw4lYfXuS/jrym1EvncQC0Z2Qis7Kyzbnqi2YbGXsw3eHNUJCgHcNoSohWKQRLW6rsXGtvfq4OkIqQS4U1QGVQkYUwZJqhIABaUVKFc0bJNb1SjS4z3bwl/LaUcyTzKpBNMGBmJIpzaYv+UMTtzIQcwv5zSem5ZXghe/PSU+5rYhRC0PgySqlapGUl0b297LxlKGoNYOuJJZiKp0DZNtcAsATjaWkEoApQBxGwhdHLl2B39fvQNLmQQvPchRpOYisLUDNk/vhy8OJ+G/2y7Uea5EAsx5MARR/f25bQhRC8MMQ6qVrknbKveu/DJlMUmpVCKucNM1SBIEQRxFGtfHBz5uHD1oTipXYzrXe54gVG6sywCJqOVhkES10qVGUnWqvCSg8lu4KRO3gbt5SbqWAfjrym2cuJEDKwspZg/mKFJzlFlQUv9JOpxHRM0LgyTSqLRCgX9z5AC0q5FUXfWRJCuZFEevZ0OhmnszAdX+bbqscBMEAe9W1UWa2NcPns4sCNgctXHU7ueq7XlE1LwwSCKNbmbLoRQqaxy11nGT0PRqK4RKK5R4+tOjuH/ln9h5Lk3fzdSKq73u0217L2Ti9M1c2FrKMHNQkKGaRiYWHuAGL2cb1LZ4X4LKVW7hAdzImKglYpBEGlXf2FaX+i87z6Xh9R/P1DienleCmZviTRIoiWUAtJxuUyoFrKkaRZrU3w+tHU27kzwZjkwqweLRoQBQI1BSPV48OlQsZ0FELQuDJNKoIflICqWApVsToWliTXVs6dZEo0+96TqStOt8OhLT8uFgbYEZAzmK1NyN6OKFdRN71phS9XS2wbqJPTGii5eJWkZEpsYSAKRRQ4Kk40nZasX47iWgsvbM8aRs9Atq1dgmau1uTlIZUE/hcEW1UaQpA/zFAIuatxFdvDAs1LPWittE1DIxSCKNrt/WvUaSua4UchM3uS2vN0jaduYWrmQWwsnGAlMfCDRC68hcyKQSowbvRGT+ON1GGjVkJMlcVwppO91WoVAi7o8rAIDpAwPhbMtd3ImIWjIGSVRDQUk5sgpKAUCnbTjMdaWQtonbP51KRdLtIrjaWeK5AQHGaBoREZkxBklUg2oUyd3BGk422o+mmOtKIW1GksoqlPhgb+Uo0sxBQXAw4X5zRERkHhgkUQ1JDchHUjHHlUKqxO38kgrUtsftD//cxL85xWjtaI1n7/M3XuOIiMhs8esy1SBubNvAHe/NbaWQs60lJJLKPbiKKmo+X1KuwId/XgUAzBoUBFsTb6NCRETmgUES1dDQPduqM6eVQjKpBC62lsiRl0OuIUj67ngK0vNL4OVsg6fDfY3fQCIiMkucbqMa9BEkmRvVlFvhPUFScZkCH+27BgCY/WAwbCw5ikRERJUYJJEaQRAalZNkrlTJ20Xl6lN+Xx25gduFpWjnaosne/mYomlERGSmGCSRmqzCUhSWVkAqAXzc7EzdHL1RlQGonpNUWFqB9QcqR5FeHhICKwv+cyAiort4VyA1SVVJ2+1c7WBt0XymnlTTbdWDpI2HkpAjL0eguz0e69HWRC0jIiJzxSCJ1DTHfCQAcLtnui1PXo5P/roOAHh5aAgsZPynQERE6nhnIDXNNUhyuWck6bND11FQUoH2Hg54uJu3CVtGRETmyiyCpI8++gj+/v6wsbFB3759cfz48VrPPX/+PB5//HH4+/tDIpEgLi6uxjkKhQIxMTEICAiAra0tgoKCsGzZMgiCAAAoLy/H/Pnz0bVrV9jb28Pb2xuTJk3CrVu3DPURm4xrWc0vaRsA3Ozv5iRlF5Vhw6EkAMArQ9tzp3ciItLI5EHS5s2bER0djcWLFyM+Ph7du3dHZGQkMjMzNZ4vl8sRGBiIFStWwNPTU+M5K1euxLp16/Dhhx/iwoULWLlyJVatWoW1a9eK14iPj0dMTAzi4+Px008/4dKlS3jkkUcM9jmbiqTbhQCAQHcHE7dEv1Tbq2TIJfjvtgsoKlOgs7cTIjtr/h0iIiIyeTHJNWvWYNq0aZg8eTIAYP369di+fTs2bNiABQsW1Di/T58+6NOnDwBofB4ADh8+jDFjxmDUqFEAAH9/f3z33XfiCJWzszP27Nmj9poPP/wQ4eHhSElJga9vyywoWKFQIiVbDgAIaEYjSTvPpeHNX84BAG6XSrD9XAYAIKJ9a0g5ikRERLUwaZBUVlaGkydPYuHCheIxqVSKoUOH4siRIw2+bv/+/fHJJ5/g8uXLaN++PU6fPo1Dhw5hzZo1tb4mLy8PEokELi4uGp8vLS1FaWmp+Dg/Px9A5dRdeXntG6fWR/XaxlxDX5Kz5ShXCLC2kMLdVmYWbWqsXecz8NL3pyFoeG7d/msI9XRAZGcPo7eruTOn3+vmjn1tPOxr4zFkX+tyTZMGSbdv34ZCoYCHh/pNysPDAxcvXmzwdRcsWID8/Hx07NgRMpkMCoUCy5cvx4QJEzSeX1JSgvnz5+Ppp5+Gk5OTxnNiY2OxdOnSGsd3794NO7vG1xO6d2TLFBJzJABkcLNSYOfO303dnEZTCsDSeFlVgFRzxEiAgDd/SkD5DQU4oGQY5vB73VKwr42HfW08huhruVyu9bkmn24zhB9++AHffPMNvv32W3Tu3BkJCQmYO3cuvL29ERUVpXZueXk5nnrqKQiCgHXr1tV6zYULFyI6Olp8nJ+fDx8fHwwfPrzWwEob5eXl2LNnD4YNGwZLS8sGX0cfMo8kAxcvoZu/B0aODDNpW/ThWFI2co/+U8cZEuSWAa1D70PfADejtaslMKff6+aOfW087GvjMWRfq2aCtGHSIMnd3R0ymQwZGRlqxzMyMmpNytbGvHnzsGDBAowfPx4A0LVrVyQnJyM2NlYtSFIFSMnJyfjzzz/rDHasra1hbW1d47ilpaVefoD6uk5jpGSXAACC2jiavC36cEfTbra1nNccPq85Moff65aCfW087GvjMURf63I9k65us7KyQq9evbB3717xmFKpxN69e9GvX78GX1cul0MqVf9oMpkMSqVSfKwKkK5cuYI//vgDrVqZx471ptTcaiS1cbTR63lERNSymHy6LTo6GlFRUejduzfCw8MRFxeHoqIicbXbpEmT0LZtW8TGxgKoTPZOTEwU/56amoqEhAQ4ODggODgYADB69GgsX74cvr6+6Ny5M06dOoU1a9ZgypQpACoDpCeeeALx8fHYtm0bFAoF0tPTAQBubm6wsrIydjeYhea2sW14gBu8nG2QnleiMXFbAsDT2QbhnGojIiINTB4kjRs3DllZWVi0aBHS09MRFhaGnTt3isncKSkpaqNCt27dQo8ePcTHq1evxurVqxEREYH9+/cDANauXYuYmBjMmjULmZmZ8Pb2xgsvvIBFixYBAFJTU/Hbb78BAMLCwtTas2/fPgwaNMhwH9hMlZQrkJpbDAAIaCY1kmRSCRaPDsXMTfGQAGqBkipPe/HoUBaTJCIijUweJAHA7NmzMXv2bI3PqQIfFX9/f7Fydm0cHR0RFxensRq3ttcwFYVSwPGkbGQWlKCNY+UohzFu4qpRJGdbS7jaNZ+59hFdvLBuYk8s3ZqItLwS8binsw0Wjw7FiC5eJmwdERGZM7MIkqjSznNpNW7mXka6mVfPR5JImtfIyoguXhgW6okjVzOx+69jGP5AX/QLbsMRJCIiqpPJtyWhSrvOZ2Dmpni1AAkA0vNKMHNTPHaeSzPo+ze3fKR7yaQS9A1wQy93AX2NNDpHRERNG4MkM6AUgLd2XNSYXKw6tnRrIhRKw00RXldtbNtMVrYRERE1FoMkM3AtX4L0/NJanxcApOWV4HhStsHaoNrYtrkkbRMRETUWgyQzkK/lNjKZBSX1n9RAza1GEhERUWMxSDIDTlouJjNU0cOcojLkyCsjNX/3xu9DR0RE1BwwSDIDQU4CPJ2sNWzBWkmCylVuhip6mHSnchTJy9kGdlZc8EhERAQwSDILUgnw5siOAGruVW+MoodJWZxqIyIiuheDJDMR2dkD6yb2hKez+pSap7MN1k3sadA6ScxHIiIiqolBkhkZ0cULh+Y/iIEh7gCAp3q1w6H5Dxq1kCQRERFVYpBkZmRSCfoGtgIAlCsFoxQ9vJZVufy/uRaSJCIiaggGSWYoqCpYuV4VvBiSUingxh3VSBJrJBEREakwSDJDga0rg5XrWUUG34g3Pb8EJeVKWEgl8HG1Neh7ERERNSUMksyQXys7SCVAQWkFsgprr8StD6p8JN9WdrCQ8deBiIhIhXdFM2RtIUM718qijqo91Qzl+m3u2UZERKQJgyQzFSjmJRkuSFIoBRy+ehsAYG0hNegGukRERE0NgyQzFeiuyksyTPL2znNpuH/ln/j9XDoAYPvZdNy/8k/sPJdmkPcjIiJqahgkmSlxJOm2/keSdp5Lw8xN8UjLU98wNz2vBDM3xTNQIiIiAoMksxVooDIACqWApVsToWliTXVs6dZETr0REVGLxyDJTAVVlQG4mVOMsgql3q57PCm7xghSdQKAtLwSHE/K1tt7EhERNUUMksxUG0dr2FvJoFAKSMnW35RbZkHtAVJDziMiImquGCSZKYlEIhaVvKbHFW5tHG3qP0mH84iIiJorBklmzBBlADydbCCpYzs4CQAvZxuEB7jp7T2JiIiaIgZJZizAXb/J27nyMkz96gRUO53cGyupHi8eHWqUjXWJiIjMGYMkM6aabkvSQxmAsgolXvj6JK5nFcHb2QYrxnaFp7P6lJqnsw3WTeyJEV28Gv1+RERETZ2FqRtAtVNtFdKQWkkKpYDjSdnILChBG0dr/PDPTRxLyoaDtQU+f64POnk54cnePtXOqZxi4wgSERFRJQZJZkyVk5RdVIZceRlc7Ky0et3Oc2lYujWxxlJ/qQT4aEJPdPJyAgDIpBL0C2ql30YTERE1E5xuM2N2VhbwqpoS03aFW23VtAFAKQDFZRV6bSMREVFzxSDJzOlSebuuatpAZWI2q2kTERFph0GSmfNvVRkk7TqfjiPX7tQZ4LCaNhERkf4wJ8mM7TyXhq2nbwEA/riQiT8uZMLL2QaLR4eKK9DkZRU4dj0bf125jR1nb2l1XVbTJiIiqh+DJDOlyi26d9woPa8EMzbF45HuXsjIL0V8Sg7KFbpNn7GaNhERUf0YJJmhunKLVMd+O50mHmvnaosHQtzRP9Adb21PRGZBqcbXSlBZC4nVtImIiOrHIMkM1ZdbpDJlgD8m9fOHXys7SKr2GrG0kGDmpnhIALVAidW0iYiIdMPEbTOkbc5Qdx8X+LvbiwESAIzo4oV1E3uymjYREVEjcSTJDGmbM1TbeSO6eGFYqCeraRMRETUCgyQzFB7gBi9nG6TnlTQ4t4jVtImIiBqH021mSCaVYPHoUAB3c4lUmFtERERkHAySzBRzi4iIiEyL021mjLlFREREpsMgycwxt4iIiMg0ON1GREREpAGDJCIiIiINGCQRERERacAgiYiIiEgDBklEREREGjBIIiIiItKAQRIRERGRBgySiIiIiDRgkERERESkAStuN5AgCACA/Pz8Rl2nvLwccrkc+fn5sLS01EfTqBbsa+NhXxsP+9p42NfGY8i+Vt23VffxujBIaqCCggIAgI+Pj4lbQkRERLoqKCiAs7NznedIBG1CKapBqVTi1q1bcHR0hETS8A1n8/Pz4ePjg5s3b8LJyUmPLaR7sa+Nh31tPOxr42FfG48h+1oQBBQUFMDb2xtSad1ZRxxJaiCpVIp27drp7XpOTk78R2ck7GvjYV8bD/vaeNjXxmOovq5vBEmFidtEREREGjBIIiIiItKAQZKJWVtbY/HixbC2tjZ1U5o99rXxsK+Nh31tPOxr4zGXvmbiNhEREZEGHEkiIiIi0oBBEhEREZEGDJKIiIiINGCQRERERKQBgyQT++ijj+Dv7w8bGxv07dsXx48fN3WTmrTY2Fj06dMHjo6OaNOmDR599FFcunRJ7ZySkhK8+OKLaNWqFRwcHPD4448jIyPDRC1uPlasWAGJRIK5c+eKx9jX+pOamoqJEyeiVatWsLW1RdeuXfHPP/+IzwuCgEWLFsHLywu2trYYOnQorly5YsIWN10KhQIxMTEICAiAra0tgoKCsGzZMrW9vtjfDXPw4EGMHj0a3t7ekEgk+OWXX9Se16Zfs7OzMWHCBDg5OcHFxQVTp05FYWGhQdrLIMmENm/ejOjoaCxevBjx8fHo3r07IiMjkZmZaeqmNVkHDhzAiy++iKNHj2LPnj0oLy/H8OHDUVRUJJ7zyiuvYOvWrfjf//6HAwcO4NatWxg7dqwJW930nThxAh9//DG6deumdpx9rR85OTkYMGAALC0t8fvvvyMxMRHvvvsuXF1dxXNWrVqFDz74AOvXr8exY8dgb2+PyMhIlJSUmLDlTdPKlSuxbt06fPjhh7hw4QJWrlyJVatWYe3ateI57O+GKSoqQvfu3fHRRx9pfF6bfp0wYQLOnz+PPXv2YNu2bTh48CCmT59umAYLZDLh4eHCiy++KD5WKBSCt7e3EBsba8JWNS+ZmZkCAOHAgQOCIAhCbm6uYGlpKfzvf/8Tz7lw4YIAQDhy5IipmtmkFRQUCCEhIcKePXuEiIgI4eWXXxYEgX2tT/Pnzxfuv//+Wp9XKpWCp6en8M4774jHcnNzBWtra+G7774zRhOblVGjRglTpkxROzZ27FhhwoQJgiCwv/UFgPDzzz+Lj7Xp18TERAGAcOLECfGc33//XZBIJEJqaqre28iRJBMpKyvDyZMnMXToUPGYVCrF0KFDceTIERO2rHnJy8sDALi5uQEATp48ifLycrV+79ixI3x9fdnvDfTiiy9i1KhRan0KsK/16bfffkPv3r3x5JNPok2bNujRowc+/fRT8fmkpCSkp6er9bWzszP69u3Lvm6A/v37Y+/evbh8+TIA4PTp0zh06BAeeughAOxvQ9GmX48cOQIXFxf07t1bPGfo0KGQSqU4duyY3tvEDW5N5Pbt21AoFPDw8FA77uHhgYsXL5qoVc2LUqnE3LlzMWDAAHTp0gUAkJ6eDisrK7i4uKid6+HhgfT0dBO0smn7/vvvER8fjxMnTtR4jn2tP9evX8e6desQHR2N//znPzhx4gTmzJkDKysrREVFif2p6f8T9rXuFixYgPz8fHTs2BEymQwKhQLLly/HhAkTAID9bSDa9Gt6ejratGmj9ryFhQXc3NwM0vcMkqjZevHFF3Hu3DkcOnTI1E1plm7evImXX34Ze/bsgY2Njamb06wplUr07t0bb7/9NgCgR48eOHfuHNavX4+oqCgTt675+eGHH/DNN9/g22+/RefOnZGQkIC5c+fC29ub/d3CcLrNRNzd3SGTyWqs9MnIyICnp6eJWtV8zJ49G9u2bcO+ffvQrl078binpyfKysqQm5urdj77XXcnT55EZmYmevbsCQsLC1hYWODAgQP44IMPYGFhAQ8PD/a1nnh5eSE0NFTtWKdOnZCSkgIAYn/y/xP9mDdvHhYsWIDx48eja9euePbZZ/HKK68gNjYWAPvbULTpV09PzxqLmyoqKpCdnW2QvmeQZCJWVlbo1asX9u7dKx5TKpXYu3cv+vXrZ8KWNW2CIGD27Nn4+eef8eeffyIgIEDt+V69esHS0lKt3y9duoSUlBT2u46GDBmCs2fPIiEhQfzTu3dvTJgwQfw7+1o/BgwYUKOUxeXLl+Hn5wcACAgIgKenp1pf5+fn49ixY+zrBpDL5ZBK1W+PMpkMSqUSAPvbULTp1379+iE3NxcnT54Uz/nzzz+hVCrRt29f/TdK76ngpLXvv/9esLa2Fr744gshMTFRmD59uuDi4iKkp6ebumlN1syZMwVnZ2dh//79QlpamvhHLpeL58yYMUPw9fUV/vzzT+Gff/4R+vXrJ/Tr18+ErW4+qq9uEwT2tb4cP35csLCwEJYvXy5cuXJF+OabbwQ7Ozth06ZN4jkrVqwQXFxchF9//VU4c+aMMGbMGCEgIEAoLi42YcubpqioKKFt27bCtm3bhKSkJOGnn34S3N3dhddff108h/3dMAUFBcKpU6eEU6dOCQCENWvWCKdOnRKSk5MFQdCuX0eMGCH06NFDOHbsmHDo0CEhJCREePrppw3SXgZJJrZ27VrB19dXsLKyEsLDw4WjR4+auklNGgCNfzZu3CieU1xcLMyaNUtwdXUV7OzshMcee0xIS0szXaObkXuDJPa1/mzdulXo0qWLYG1tLXTs2FH45JNP1J5XKpVCTEyM4OHhIVhbWwtDhgwRLl26ZKLWNm35+fnCyy+/LPj6+go2NjZCYGCg8MYbbwilpaXiOezvhtm3b5/G/6OjoqIEQdCuX+/cuSM8/fTTgoODg+Dk5CRMnjxZKCgoMEh7JYJQrYQoEREREQFgThIRERGRRgySiIiIiDRgkERERESkAYMkIiIiIg0YJBERERFpwCCJiIiISAMGSUREREQaMEgiohZp0KBBmDt3rqmbodGNGzcgkUiQkJBg6qYQtWgMkoiIiIg0YJBERKSlsrIyUzeBiIyIQRIRGdygQYMwZ84cvP7663Bzc4OnpyeWLFkCQPPUUm5uLiQSCfbv3w8A2L9/PyQSCXbt2oUePXrA1tYWDz74IDIzM/H777+jU6dOcHJywjPPPAO5XK51uyoqKjB79mw4OzvD3d0dMTExqL5Tk7+/P5YtW4ZJkybByckJ06dPBwDMnz8f7du3h52dHQIDAxETE4Py8nLxdUuWLEFYWBi+/vpr+Pv7w9nZGePHj0dBQYF4jlKpxKpVqxAcHAxra2v4+vpi+fLlau27fv06Bg8eDDs7O3Tv3h1HjhwRn0tOTsbo0aPh6uoKe3t7dO7cGTt27ND6sxNR/RgkEZFRfPnll7C3t8exY8ewatUq/Pe//8WePXt0usaSJUvw4Ycf4vDhw7h58yaeeuopxMXF4dtvv8X27duxe/durF27Vqc2WVhY4Pjx43j//fexZs0afPbZZ2rnrF69Gt27d8epU6cQExMDAHB0dMQXX3yBxMREvP/++/j000/x3nvvqb3u2rVr+OWXX7Bt2zZs27YNBw4cwIoVK8TnFy5ciBUrViAmJgaJiYn49ttv4eHhoXaNN954A6+99hoSEhLQvn17PP3006ioqAAAvPjiiygtLcXBgwdx9uxZrFy5Eg4ODjr1JxHVwyDb5hIRVRMRESHcf//9asf69OkjzJ8/X0hKShIACKdOnRKfy8nJEQAI+/btEwTh7s7hf/zxh3hObGysAEC4du2aeOyFF14QIiMjtW5Tp06dBKVSKR6bP3++0KlTJ/Gxn5+f8Oijj9Z7rXfeeUfo1auX+Hjx4sWCnZ2dkJ+fLx6bN2+e0LdvX0EQKneZt7a2Fj799FON11P1yWeffSYeO3/+vABAuHDhgiAIgtC1a1dhyZIlWn1WImoYjiQRkVF069ZN7bGXlxcyMzMbfA0PDw9xuqv6MV2ued9990EikYiP+/XrhytXrkChUIjHevfuXeN1mzdvxoABA+Dp6QkHBwe8+eabSElJUTvH398fjo6O4uPqn/fChQsoLS3FkCFD6mxf9c/r5eUFAOI15syZg7feegsDBgzA4sWLcebMGW0/NhFpiUESERmFpaWl2mOJRAKlUgmptPK/IaFaLlD1/J7ariGRSGq9pj7Z29urPT5y5AgmTJiAkSNHYtu2bTh16hTeeOONGknddbXN1tZWq/e+9/MCEK/x/PPP4/r163j22Wdx9uxZ9O7dW6epRiKqH4MkIjKp1q1bAwDS0tLEY8aqD3Ts2DG1x0ePHkVISAhkMlmtrzl8+DD8/PzwxhtvoHfv3ggJCUFycrJO7xsSEgJbW1vs3bu3Qe1W8fHxwYwZM/DTTz/h1Vdfxaefftqo6xGROgtTN4CIWjZbW1vcd999WLFiBQICApCZmYk333zTKO+dkpKC6OhovPDCC4iPj8fatWvx7rvv1vmakJAQpKSk4Pvvv0efPn2wfft2/Pzzzzq9r42NDebPn4/XX38dVlZWGDBgALKysnD+/HlMnTpVq2vMnTsXDz30ENq3b4+cnBzs27cPnTp10qkdRFQ3BklEZHIbNmzA1KlT0atXL3To0AGrVq3C8OHDDf6+kyZNQnFxMcLDwyGTyfDyyy+Ly/xr88gjj+CVV17B7NmzUVpailGjRiEmJkYsaaCtmJgYWFhYYNGiRbh16xa8vLwwY8YMrV+vUCjw4osv4t9//4WTkxNGjBhRY4UdETWORKieCEBEREREAJiTRERERKQRgyQianZSUlLg4OBQ6597l+sTEWnC6TYianYqKipw48aNWp/39/eHhQVTMomobgySiIiIiDTgdBsRERGRBgySiIiIiDRgkERERESkAYMkIiIiIg0YJBERERFpwCCJiIiISAMGSUREREQaMEgiIiIi0uD/AcDKBafoOdVeAAAAAElFTkSuQmCC\n" }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} } - ], - "source": [ - "# Plot speedup by context_len vs num branches\n", - "# Get unique context lengths\n", - "def plot_vs_comp(df,subtitle=\"\"):\n", - " context_lengths = df['context_len'].unique()\n", - "\n", - " # Create the plot\n", - " plt.figure(figsize=(10, 6))\n", - "\n", - " # Plot each context_len as a separate line\n", - " for context_len in context_lengths:\n", - " subset = df[(df['context_len'] == context_len) & (df['speedup'] > 0)]\n", - " plt.plot(subset['num_branchs'], subset['speedup'], marker='o', label=f'{context_len}')\n", - " # Add a horizontal dashed line at y=1.0\n", - " plt.axhline(y=1.0, color='red', linestyle='--', linewidth=1, label='Speedup = 1.0')\n", - " # Add labels, title, and legend\n", - " plt.title(f\"Speedup vs Num branch using {subtitle}\")\n", - " plt.xlabel(\"Number of branches\")\n", - " plt.ylabel(\"Speedup\")\n", - " plt.legend(title=\"Context Length\")\n", - " plt.grid(True)\n", - "\n", - " # Show the plot\n", - " plt.show()\n", - "plot_vs_comp(df_seq,\"Sequential\")\n", - "plot_vs_comp(df_mb,\"MiniBatch\")" ] }, { "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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yGGN8WUpKSpCeno7KykocOnQIALBy5UoEBQU5TLp01FzkKmazGRs3bsSUKVPQrVs3fnl4eDjuvvtu7Ny5E1VVVXb3mTNnjl2ZRo4cCbPZjEuXLrm8fG09nn/++Wf07t0bvXr1snvdx4wZAwDYunVrk4/JcRxuv/12rF27FhqNhl++YsUKREZG8seqrblh9erVMBqNTj+3Pn36YOTIkfzt4ODgRs+jLftMTU3lb6ekpAAAxowZwx+XDZc7eqx58+bx/9uavgwGAzZv3gzA+tqq1Wpcf/31dq/toEGD4OPj0+i1jY+PR3p6eotlP3DgAIqKivDwww/b5etMmjQJvXr1cphC4Iy5c+fa3bZ91tauXWu3PC0tze5zbtMwj6y8vByVlZUYOXIk/xluaNy4cUhISOBv9+/fHyqVin+9W/v9aNPSZ27Tpk2oqKjAXXfdZfeeCIVCpKSk8O+JXC6HRCLBtm3bGjXtuoqfnx+0Wi02bdrk9H19fHzscmElEgmGDh1qd5yuX78ekZGRuOmmm/hlMpkMs2fPbtVjXH/99dizZw9uuukmHD16FO+88w7S09MRGRmJ//3vf/x2v/zyCywWC6ZNm2b3moaFhaFHjx78a2o7bh988EG7RP77778farXa6dcAaNt57MEHH7S7PXLkSJSWljb6/m6thsd7dXU1SkpKMHLkSOh0Opw+fbpN+7Tp1InvDb9IAUCtVkMmkyEoKKjR8tLSUv72pUuX0L1790Yf7p49e9rdPnfuHADwORGOVFZWwmAwoKqqCv369Wu2vJcuXeK/8Bvq3bs3v75fv34uL5+/v3+z5erRo0erei0NHz4cDz30EJYsWYL09HS7fJzi4mJUVFTg888/x+eff+7w/rZEy8zMTPTs2bPDe9gVFxdDp9M1eh0B63tgsViQk5ODvn378suvPMZsr6U7vrTbejyfO3cOp06dQnBwsMP9tpTgescdd2DRokX43//+h7vvvhsajQZr167FAw88wB+DaWlpmDp1Kl555RV88MEHGD16NKZMmYK77767Vb10rnxugPW1bM/r6Oj1AoDo6GiHy698LIFAYBdsA0BiYiIA8Pka586dQ2VlpcP8FaDxaxsfH9+qstsCBkfHYq9evbBz585W7acpPXr0sLudkJAAgUDQKD+mqfKuXr0ar7/+Oo4cOWKX1+foR1BL721xcXGrvh+b2t+Vnznb957tR8SVVCoVAEAqleLtt9/Gk08+idDQUAwbNgw33ngjpk+fjrCwsFaVpSUPP/wwfvrpJ0ycOBGRkZEYP348pk2bhgkTJrR436ioqEavp7+/P44dO8bfvnTpEhISEhpt171791aXcciQIfjll19gMBhw9OhR/Prrr/jggw9w22234ciRI+jTpw/OnTsHxlij48ZGLBbz5QEaH19isbjRZ6m12nIea+4Ysb3/zjhx4gSef/55/PHHH40CtcrKSqf311CnDrIc9RBoqtcAuyKZtTVs0fO7776L5ORkh9v4+PigrKzM6X27QmvL5yp6vZ5PVszMzIROp4NCobAry7333tvkh6V///6tfqymarRckojoBFceT215rNY8vsViQVJSEhYuXOhw2yuDjisNGzYMcXFx+Omnn3D33Xfj999/R01NDe644w5+G47j8N///hd79+7F77//jg0bNmDmzJl4//33sXfv3haPs9Y8D2ff86b26ervgJCQECxfvtzh+isD2/b2JHSXpl5bR+X9888/cdNNN2HUqFH45JNPEB4eDrFYjGXLluGHH35otL2rPyMt7c/2XfPdd985DJYa/nh7/PHHMXnyZKxatQobNmzACy+8gAULFuCPP/5odogajuMclv/KYzEkJARHjhzBhg0bsG7dOqxbtw7Lli3D9OnT8c0337TrebqaRCLBkCFDMGTIECQmJmLGjBn4+eef8dJLL8FisYDjOKxbt85hudpyHmnt57kt5zFXvnYVFRVIS0uDSqXCq6++ioSEBMhkMhw6dAjPPPNMq1qDmtOpg6y2io2NxfHjx8EYszsQzpw5Y7edrQpcpVI1W9MTHBwMlUqF48ePt/i4Vz4GAL46MjY21i3lc5WXXnoJp06dwnvvvYdnnnkGzz77LD766CMA1tfA19cXZrO5xbIkJCRg3759MBqN/C+kK9l+mVw5srWjZrrWNjEGBwdDoVA0+R4IBIIWA5LWcmez55USEhJw9OhRjB07ts2PO23aNHz44YeoqqrCihUrEBcXh2HDhjXabtiwYRg2bBjeeOMN/PDDD7jnnnvw448/2jV1tlXD97xhbyh3NM0C1i/3Cxcu8LVXAHD27FkA4HuQJSQkYPPmzRg+fLhLAyjbZ/3MmTONamTOnDnDr2+rc+fO2dVSnT9/HhaLpVWjVa9cuRIymQwbNmywq6VctmxZm8rS2u/H1rJ974WEhLTqey8hIQFPPvkknnzySZw7dw7Jycl4//338f333zd5H39/f4fNy46ORYlEgsmTJ2Py5MmwWCx4+OGH8dlnn+GFF15wqsbJkdjYWJw8ebLRueD8+fPt2q+t2TY/Px+A9TVijCE+Pt7u8+CoPID1+Gp43BqNRmRlZWHAgAH8stZ+h7vrPNba78Jt27ahtLQUv/zyC0aNGsUvz8rKckk5OnVOVlvdcMMNuHz5sl2XZJ1O16iZa9CgQUhISMB7771nl69iY+tWLBAIMGXKFPz+++8Op4SwRdc33HAD9u/fjz179vDrtFotPv/8c8TFxfG5Ea4unyvs27cP7733Hh5//HE8+eSTeOqpp7B48WJs374dgPWXxdSpU7Fy5UqHX6YNyzJ16lSUlJRg8eLFjbazvVaxsbEQCoXYsWOH3fpPPvmk0X1so183NdWIjVAoxPjx4/Hbb7/ZNZsUFhbihx9+wIgRI9pU1exIa8vkCtOmTUNeXh6++OKLRutqamqg1Wpb3Mcdd9wBvV6Pb775BuvXr8e0adPs1peXlzf6lWj71dnSMBGtZfuybfie27phu0vDY5AxhsWLF0MsFmPs2LEArK+t2WzGa6+91ui+JpOpze/v4MGDERISgqVLl9q9fuvWrcOpU6cwadKkNu3XxjaEiI1tdO+JEye2eF+hUAiO4+xqHC5evNjm0bNb+/3YWunp6VCpVHjzzTcd5gfavmt0Ol2jYSsSEhLg6+vb4jGbkJCA06dP231vHT16tNGQAg2b7QHrc7XV2Lvic5Geno68vDy7/Kna2lqHn3VHtm7d6vD1teXm2Zqrb731VgiFQrzyyiuNtmeM8c9z8ODBCA4OxtKlS+2G3vj6668bfRYcfZ7NZnOHnceUSmWrPp+2WrGGz9tgMDg817TFVVmTNXv2bCxevBjTp0/HwYMHER4eju+++45v+rIRCAT48ssvMXHiRPTt2xczZsxAZGQk8vLysHXrVqhUKvz+++8ArKPLbty4EWlpaZgzZw569+6N/Px8/Pzzz9i5cyf8/Pzw7LPP4v/+7/8wceJEPProowgICMA333yDrKwsrFy5EgKBwG3la86hQ4cc/qpLSEhAamoqamtrkZGRgR49euCNN94AALzyyiv4/fffMWPGDPz9999QKpV46623sHXrVqSkpGD27Nno06cPysrKcOjQIWzevJlvVp0+fTq+/fZbzJ8/H/v378fIkSOh1WqxefNmPPzww7j55puhVqtx++234+OPPwbHcUhISMDq1asd5hcNGjQIAPDoo48iPT0dQqEQd955p8Pn+vrrr2PTpk0YMWIEHn74YYhEInz22WfQ6/UOx6hpK2fK1F733XcffvrpJzz44IPYunUrhg8fDrPZjNOnT+Onn37ix21qzjXXXIPu3bvj3//+N/R6vV1TIQB88803+OSTT3DLLbcgISEB1dXV+OKLL6BSqRzOFtAW48ePR0xMDGbNmoWnnnoKQqEQX331FYKDg5Gdne2Sx2hIJpNh/fr1yMjIQEpKCtatW4c1a9bgX//6F98MmJaWhgceeAALFizAkSNHMH78eIjFYpw7dw4///wzPvzwQ7sOKq0lFovx9ttvY8aMGUhLS8Ndd92FwsJCfPjhh4iLi8MTTzzRrueWlZWFm266CRMmTMCePXvw/fff4+6777araWjKpEmTsHDhQkyYMAF33303ioqKsGTJEnTv3t0uX8gZrfl+bC2VSoVPP/0U9913H6655hrceeed/DGyZs0aDB8+HIsXL8bZs2cxduxYTJs2DX369IFIJMKvv/6KwsLCFj+LM2fOxMKFC5Geno5Zs2ahqKgIS5cuRd++fe1ydv7xj3+grKwMY8aMQVRUFC5duoSPP/4YycnJfK5tezzwwANYvHgx7rrrLjz22GMIDw/H8uXL+c4SLdXWPPLII9DpdLjlllvQq1cvGAwG7N69m6+tnjFjBgDrd/3rr7+O5557DhcvXsSUKVPg6+uLrKws/Prrr5gzZw7++c9/QiwW4/XXX8cDDzyAMWPG4I477kBWVhaWLVvWKCerb9++GDZsGJ577jmUlZUhICAAP/74I0wmk912rjqPXWnQoEHYvHkzFi5ciIiICMTHxzvMib722mvh7++PjIwMPProo+A4Dt99953rmm2d6ovoJWzdOG3drG0yMjKYUqlstH1aWhrr27ev3bJLly6xm266iSkUChYUFMQee+wxvlv2ld1iDx8+zG699VYWGBjIpFIpi42NZdOmTWNbtmxptM/p06ez4OBgJpVKWbdu3djcuXPturpmZmay2267jfn5+TGZTMaGDh3aaOwZd5XvSi0N4WDr/mrrQn3luFsHDhxgIpGIPfTQQ/yywsJCNnfuXBYdHc3EYjELCwtjY8eOZZ9//rndfXU6Hfv3v//N4uPj+e1uu+02u6EViouL2dSpU5lCoWD+/v7sgQceYMePH280hIPJZGKPPPIICw4OZhzH2Q0DgCuGS2CMsUOHDrH09HTm4+PDFAoFu+666xqNPdRUt/mmhpa4kjNlcsXxbDAY2Ntvv8369u3LpFIp8/f3Z4MGDWKvvPIKq6ysbLasNv/+978ZANa9e/dG6w4dOsTuuusuFhMTw6RSKQsJCWE33ngjO3DgQIv7jY2NZZMmTXL4PK7sJn/w4EGWkpLCJBIJi4mJYQsXLmxyCAdH+wTAj+1lYzvOG3blt722mZmZ/BhjoaGh7KWXXrIbT8vm888/Z4MGDWJyuZz5+vqypKQk9vTTT7PLly+3WKbmrFixgg0cOJBJpVIWEBDA7rnnHpabm2u3TVuGcDh58iS77bbbmK+vL/P392fz5s2zGyqCMcevlc1//vMf1qNHDyaVSlmvXr3YsmXLHA6x0dQ+YmNjG3Wfb+n70dnP3NatW1l6ejpTq9VMJpOxhIQEdv/99/PHZElJCZs7dy7r1asXUyqVTK1Ws5SUlEZjwjXl+++/Z926dWMSiYQlJyezDRs2NOrC/9///peNHz+ehYSE8MfsAw88wPLz85stv6PPMGOOhwi4cOECmzRpEpPL5Sw4OJg9+eSTbOXKlQyA3dh+jqxbt47NnDmT9erVi/n4+DCJRMK6d+/OHnnkEVZYWNho+5UrV7IRI0YwpVLJlEol69WrF5s7dy47c+aM3XaffPIJP77g4MGD2Y4dOxx+njMzM9m4ceOYVCrlx8nbtGlTm89jTX1XOvqOOH36NBs1ahSTy+V25zNH2+7atYsNGzaMyeVyFhERwQ91cWU52zKEA8eYm7LsCCGEEOJyixYtwhNPPIHc3FxERkZ6ujgAwI/23tIo9FebqzInixBCCOkMampq7G7X1tbis88+Q48ePbwmwCJNuypzsgghhJDO4NZbb0VMTAySk5NRWVmJ77//HqdPn25yWBHiXSjIIoQQQrxUeno6vvzySyxfvhxmsxl9+vTBjz/+2KhzCvFOlJNFCCGEEOIGlJNFCCGEEOIGHg+ylixZgri4OMhkMqSkpGD//v1NbnvixAlMnToVcXFx4DgOixYtarTNggULMGTIEPj6+iIkJARTpkxxOMI3IYQQQog7eTQna8WKFZg/fz6WLl2KlJQULFq0COnp6Thz5ozDCVl1Oh26deuG22+/vcnB+rZv3465c+diyJAhMJlM+Ne//oXx48fj5MmT/CjcLbFYLLh8+TJ8fX07dHoUQgghhLQdYwzV1dWIiIjgB/j2dIE8ZujQoXYD2ZnNZhYREcEWLFjQ4n1jY2PZBx980OJ2RUVFDADbvn17q8uVk5PT7CCddKELXehCF7rQxXsvOTk5rT7nu5PHarIMBgMOHjyI5557jl8mEAgwbtw4u7n92quyshIAEBAQ0OQ2er3ebp4pVtcXICcnx2Vz2RFCCCHEvaqqqhAdHQ1fX19PFwWAB5sLS0pKYDabERoaarc8NDQUp0+fdsljWCwWPP744xg+fDj69evX5HYLFizAK6+80mi5SqWiIIsQQgjpZLwl1ccLGizdZ+7cuTh+/Dh+/PHHZrd77rnnUFlZyV9ycnI6qISEEEII6ao8VpMVFBQEoVCIwsJCu+WFhYUICwtr9/7nzZuH1atXY8eOHYiKimp2W6lUCqlU2u7HJIQQQgix8VhNlkQiwaBBg7BlyxZ+mcViwZYtW5Camtrm/TLGMG/ePPz666/4448/EB8f74riEkIIIYQ4xaNDOMyfPx8ZGRkYPHgwhg4dikWLFkGr1WLGjBkAgOnTpyMyMhILFiwAYE2WP3nyJP9/Xl4ejhw5Ah8fH3Tv3h2AtYnwhx9+wG+//QZfX18UFBQAANRqNeRyuUvLbzabYTQaXbpP0vHEYjGEQqGni0EIIaSL8fi0OosXL8a7776LgoICJCcn46OPPkJKSgoAYPTo0YiLi8PXX38NALh48aLDmqm0tDRs27YNQNPJbsuWLcP999/fqjJVVVVBrVajsrLSYeI7YwwFBQWoqKho1f6I9/Pz80NYWJjXJEsSQghxXkvn747m8SDLG7X0JuXn56OiogIhISFQKBR0Yu7EGGPQ6XQoKiqCn58fwsPDPV0kQgghbeRtQZZHmws7I7PZzAdYgYGBni4OcQFbM3JRURFCQkKo6ZAQQohLdOkhHNzBloOlUCg8XBLiSrb3k3LsCCGEuAoFWW1ETYRdC72fhBBCXI2CLEIIIYQQN6Agi3RJo0ePxuOPP+7pYhBCCLmKUZDlBgUFBXjkkUfQrVs3SKVSREdHY/LkyXYDr7qCuwKJ1u7XGwKZbdu2geM4Gk6DEEKI16HehS528eJFDB8+HH5+fnj33XeRlJQEo9GIDRs2YO7cuW2e/JoxBmaygBMJKH+IEEII6QSoJsvFHn74YXAch/3792Pq1KlITExE3759MX/+fOzdu5ffLjs7GzfffDN8fHygUqkwbdo0u3kcX375ZSQnJ+O7775DXFwc/Pz8cOfUaajIKwUA3H///di+fTs+/PBDcBwHjuNw8eJFAMDx48cxceJE+Pj4IDQ0FPfddx9KSkoAWGt+JBIJ/vzzT/6x3nnnHYSEhKCwsLDZ/Tpr586dGDlyJORyOaKjo/Hoo49Cq9Xy6+Pi4vDmm29i5syZ8PX1RUxMDD7//HO7fezevRvJycmQyWQYPHgwVq1aBY7jcOTIEVy8eBHXXXcdAMDf3x8cx9kNOGuxWPD0008jICAAYWFhePnll9v0PAghhJC2oCDLhcrKyrB+/XrMnTsXSqWy0Xo/Pz8A1pP/zTffjLKyMmzfvh2bNm3ChQsXcMcdd9htn5mZiVWrVmH16tX47f9+wZ/7duHt998BAHz44YdITU3F7NmzkZ+fj/z8fERHR6OiogJjxozBwIEDceDAAaxfvx6FhYWYNm0agPomvvvuuw+VlZU4fPgwXnjhBXz55ZcIDQ1tcr/OyszMxIQJEzB16lQcO3YMK1aswM6dOzFv3jy77d5//30MHjwYhw8fxsMPP4yHHnoIZ86cAWAdVG7y5MlISkrCoUOH8Nprr+GZZ57h7xsdHY2VK1cCAM6cOYP8/Hx8+OGH/PpvvvkGSqUS+/btwzvvvINXX30VmzZtcvq5EEIIIW3CSCOVlZUMAKusrGy0rqamhp08eZLV1NQ0Wrdv3z4GgP3yyy/N7n/jxo1MKBSy7OxsftmJEycYALZ//37GGGMvvfQSUygUrKqqijHGmKFEx+Y/+Bgbes1g/j5paWnsscces9v3a6+9xsaPH2+3LCcnhwFgZ86cYYwxptfrWXJyMps2bRrr06cPmz17tt32jvbrSHPbzZo1i82ZM8du2Z9//skEAgH/2sXGxrJ7772XX2+xWFhISAj79NNPGWOMffrppywwMNDutf7iiy8YAHb48GHGGGNbt25lAFh5eXmjso0YMcJu2ZAhQ9gzzzzjsLzNva+EEEI6h+bO355AOVkuxFo5Q9GpU6cQHR1tV0PUp08f+Pn54dSpUxgyZAgAa3Oar6+vdQOTBWEhoSgqKQGzMHACx3lZR48exdatW+Hj49NoXWZmJhITEyGRSLB8+XL0798fsbGx+OCDD5x8pi07evQojh07huXLl/PLGGOwWCzIyspC7969AQD9+/fn13Mch7CwMBQVFQGw1k71798fMpmM32bo0KGtLkPDfQNAeHg4v29CCCHE3SjIcqEePXqA47g2J7dfSSwWA7AlvTNwHAdmsYCZLeAEjqd+0Wg0mDx5Mt5+++1G6xrOy7d7924A1ibOsrIyh82b7aHRaPDAAw/g0UcfbbQuJiaG/9/2HG04joPFYnFJGdy5b0IIIaQllJPlQgEBAUhPT8eSJUvsErxtbMMM9O7dGzk5OcjJyeHXnTx5EhUVFejTp0/jHVsY0LCWzGT9XyKRwGw22216zTXX4MSJE4iLi0P37t3tLrZAKjMzE0888QS++OILpKSkICMjwy74cLRfZ11zzTU4efJkozJ0794dEomkVfvo2bMn/v77b+j1en7ZX3/9ZbeNbV/tLS8hhBDiahRkudiSJUtgNpsxdOhQrFy5EufOncOpU6fw0UcfITU1FQAwbtw4JCUl4Z577sGhQ4ewf/9+TJ8+HWlpaRg8eHCjfTITu+K2NSCKi4vDvn37cPHiRZSUlMBisWDu3LkoKyvDXXfdhb/++guZmZnYsGEDZsyYAbPZDLPZjHvvvRfp6emYMWMGli1bhmPHjuH999/n9+9ov00pLi7GkSNH7C6FhYV45plnsHv3bsybNw9HjhzBuXPn8NtvvzVKfG/O3XffDYvFgjlz5uDUqVPYsGED3nvvPQD10+DExsaC4zisXr0axcXF0Gg0rd4/IYQQ4k4UZLlYt27dcOjQIVx33XV48skn0a9fP1x//fXYsmULPv30UwDWAOG3336Dv78/Ro0ahXHjxqFbt25YsWKFw30ys8Xh7X/+858QCoXo06cPgoODkZ2djYiICOzatQtmsxnjx49HUlISHn/8cfj5+UEgEOCNN97ApUuX8NlnnwGwNiF+/vnneP7553H06NEm99uUH374AQMHDrS7fPHFF+jfvz+2b9+Os2fPYuTIkRg4cCBefPFFREREtPq1VKlU+P3333HkyBEkJyfj3//+N1588UUA4PO0IiMj8corr+DZZ59FaGioU0EcIYQQ4k4ca2229lWkqqoKarUalZWVUKlUdutqa2uRlZWF+Ph4u4RsdzJX6WGuMgAcAAZwMhHEQfIOeWxvs3z5csyYMQOVlZWQy133GnjifSWEEOJazZ2/PYES3zsBW3MhJxGC6c2A6epJ3v7222/RrVs3REZG4ujRo3jmmWcwbdo0lwZYhBBCiDtQkNUJ2JoHBTIRzHozmNkCxthVMb1OQUEBXnzxRRQUFCA8PBy333473njjDU8XixBCCGkRBVmdgC3RnZMI+SZDmBkg6vpB1tNPP42nn37a08UghBBCnEaJ716OWZg1oALAiThwQutbxq6iJkNCCCGkM6Igy8vxPQs5DhBwgEhgv5wQQgghXomCLG9nalCLxXHg6poIrxw7ixBCCCHehYIsL8fXWNXVYNmaC6+mHoaEEEJIZ0RBlpfjk95tQZaIcrIIIYSQzoCCLC/Hj5ElrOtJ2KC5kMaRJYQQQrwXBVneznxFTZatuZAx68TRhBBCCPFKFGR5McZYg5qsuiBLwAFCzya/L1myBHFxcZDJZEhJScH+/fs9Ug5CCCHEm1GQ5c0szFpjBdgNPMp5cBiHFStWYP78+XjppZdw6NAhDBgwAOnp6SgqKurwshBCCCHejIIsL8YntwsFdlPoeLKH4cKFCzF79mzMmDEDffr0wdKlS6FQKPDVV191eFkIIYQQb0bT6ngBxhhqjOZGy806I8xGMzgBYDKY6pdbLDAbzRDoTBDJhO16bLlY2Oo5EA0GAw4ePIjnnnuOXyYQCDBu3Djs2bOnXeUghBBCuhoKsrxAjdGMPi9u8Mhjn3w1HQpJ6w6DkpISmM1mhIaG2i0PDQ3F6dOn3VE8QgghpNOi5kJCCCGEEDegmiwvIBcLcfLV9EbLjcU1YAYzhP5SCBVifjkzW2As0AEAxOFKa4/Ddjx2awUFBUEoFKKwsNBueWFhIcLCwtpcBkIIIaQroiDLC3Ac57DJziDgALEQIoUEAol9MGSQGgALg0gogMCJQKk9JBIJBg0ahC1btmDKlCkAAIvFgi1btmDevHkdUgZCCCGks6Agy0sxCwPMV4z23gAnFIBZzNYehh0UZAHA/PnzkZGRgcGDB2Po0KFYtGgRtFotZsyY0WFlIIQQQjoDCrK8FD8GloCrH7KhAU7EgRk7fkDSO+64A8XFxXjxxRdRUFCA5ORkrF+/vlEyPCGEEHK1oyDLW10x0nsjHpwoet68edQ8SAghhLSAehd6KVvwxIkcJ7VzHgyyCCGEENIyCrK8FN9cKHL8FtnytJiZJokmhBBCvBEFWV6qfmLo5muyYLKAMQq0GmJmC4zFOpg1Bk8XhRBCyFWMgixvxTcXNvEWCTnAFn9RbZYdS60ZTG+Gudro6aIQQgi5ilGQ5YUYY3xzYVNBFsfV9zqkvCx7zFA3D6TZUt/sSgghhHQwCrK8kZkBtsqpJpoLAXi0h6E3Y0aLw/8JIYSQjkRBlhdqmPTOcU0HWbaeh5T8Xo8xRkEWIYQQr0BBlhdqKendhoZxaIyZLECDjgAUZBFCCPEUCrK8EGsp6b0OP1ApBVk8ZrB/LSjIIoQQ4ikUZHmjFpLeebbmQhOjYRzqMKM16Z2TWSczYCYzvTaEEEI8goIsL8TPR9jK5kIwBljcH0i8/PLL1l6NDS69evXi19fW1mLu3LkIDAyEj48Ppk6disLCQreXqyFbTZZALgI4DmDUnEoIIcQzKMjyQq1uLuQ4gB/GoWNqa/r27Yv8/Hz+snPnTn7dE088gd9//x0///wztm/fjsuXL+PWW2/tkHIB9knvnEQATlz32lCTISGEEA+gCaK9DLPU10q12FwIaw9DZq4LzKRCdxcPIpEIYWFhjZZXVlbiP//5D3744QeMGTMGALBs2TL07t0be/fuxbBhw9xeNj7pnePAiaxBFjOYKcgihBDiERRkeQPGAKPO+q/BDBhrAAEHztSKIMtSC2Y0gdUaAbHU+ccWK6zNaq107tw5REREQCaTITU1FQsWLEBMTAwOHjwIo9GIcePG8dv26tULMTEx2LNnT8cEWXVNhZzYOvQF1WQRQgjxJAqyvIFRB7wZAcDafitx4q7tfgP/dRmQKFu1aUpKCr7++mv07NkT+fn5eOWVVzBy5EgcP34cBQUFkEgk8PPzs7tPaGgoCgoK2lvKVuGT3iXW4IoTC+2WE0IIIR2JgizSahMnTuT/79+/P1JSUhAbG4uffvoJcrncgyWzqq/JEtZd19UEmq3TFPFDXhBCCCEdgIIsbyBWWGuUAJgqamHRmiDwFUOkarn5z2Iww1RsbV6UhLeuRqrRY7eRn58fEhMTcf78eVx//fUwGAyoqKiwq80qLCx0mMPlalcmvQMAJ7DmZjGTBcxIQRYhhJCORWcdb8Bx1iY7iRJMoADECnByX35ZcxdO4WsNlIRyMJGiVfexuziRj3UljUaDzMxMhIeHY9CgQRCLxdiyZQu//syZM8jOzkZqaqorXqVmXZn0bkN5WYQQQjyFarK8jW34hhbGyLLhBBwg4AALAzNZwEnc18Pwn//8JyZPnozY2FhcvnwZL730EoRCIe666y6o1WrMmjUL8+fPR0BAAFQqFR555BGkpqZ2TNK70T7p3YYTC4AaCrIIIYR0PAqyvAhjjJ8cujXDN9hwIutQBdaR4t0XZOXm5uKuu+5CaWkpgoODMWLECOzduxfBwcEAgA8++AACgQBTp06FXq9Heno6PvnkE7eVpyE+H0ti/7pR8jshhBBPoSDLm5gZwABwaHG094Y4IQcG9w9I+uOPPza7XiaTYcmSJViyZIlby+EI37NQbB9k8s2FJgsYY3a1XIQQQog7UU6WF+FHehcKnAsGRPWBxNWIMWY3RpYdYV1zKqMmQ0IIIR2Lgiwvwsx1NVFONBUC9U2LV22QZWL1Se9XBFlcg0R4CrIIIYR0JAqyvAhzMundhhNZt+eDtKtMfVOh4xpAW54WBVmEEEI6kseDrCVLliAuLg4ymQwpKSnYv39/k9ueOHECU6dORVxcHDiOw6JFi9q9T6/Syomhr8SP/1SXd3S1adiz0BFKfieEEOIJHg2yVqxYgfnz5+Oll17CoUOHMGDAAKSnp6OoqMjh9jqdDt26dcNbb73V5ACXzu7Tm9hqomw1U60m5OrHu3Jz8rs3YgbbdDqOe1Y2HCvragxCCSGEeIZHg6yFCxdi9uzZmDFjBvr06YOlS5dCoVDgq6++crj9kCFD8O677+LOO++EVOp4NHRn9+lN+JwqJ0cm5ziOb2K0DQFxtbAb6b2pmixbzaCFWS+EEEJIB/BYkGUwGHDw4EGMGzeuvjACAcaNG4c9e/Z4zT47CmsQADjbXAjg6u1haK573bhmgiwBJb8TQgjpeB4LskpKSmA2mxEaGmq3PDQ0FAUFBR26T71ej6qqKrtLR+ODIwFnHcXdSXzy+1XWXGgx1I+P1dywFzS9DiGEkI7m8cR3b7BgwQKo1Wr+Eh0d3eFlYG1Mere5WodxaKmp0IZPfjdQ8jshhJCO4bEgKygoCEKhEIWFhXbLCwsLm0xqd9c+n3vuOVRWVvKXnJycNj1+u7Q16b0OH5xdbTlZhvrhG5pDNVmEEEI6mseCLIlEgkGDBmHLli38MovFgi1btiA1NbVD9ymVSqFSqewuHa2tSe88YX1zobt60O3YsQOTJ09GREQEOI7DqlWr7NYzxvDiiy8iPDwccrkc48aNw7lz5+y2KSsrwz333AOVSgU/Pz/MmjULGo2mTeWxS3pvYWJsu+l1KPmdEEJIB/Boc+H8+fPxxRdf4JtvvsGpU6fw0EMPQavVYsaMGQCA6dOn47nnnuO3NxgMOHLkCI4cOQKDwYC8vDwcOXIE58+fb/U+vZWrmgvB3NeDTqvVYsCAAU3OTfjOO+/go48+wtKlS7Fv3z4olUqkp6ejtraW3+aee+7BiRMnsGnTJqxevRo7duzAnDlz2lagViS982zT6+Dqa1IlhBDiIczDPv74YxYTE8MkEgkbOnQo27t3L78uLS2NZWRk8LezsrIYrFMo213S0tJavc/WqKysZABYZWVlo3U1NTXs5MmTrKamxql9NsdisbCKnGJWcbGQVWuqmNagbdOlItv5fVgsljaVGQD79ddf7Z5DWFgYe/fdd/llFRUVTCqVsv/7v/9jjDF28uRJBoD99ddf/Dbr1q1jHMexvLw8p8tg1hmYPqeKGQo0rdreUKRl+pwqZtIYGq1zx/tKCCGkYzV3/vYEkceiuzrz5s3DvHnzHK7btm2b3e24uLhWNYU1t09vpDPqMGLLdR557H1374NCrGj3frKyslBQUGA3fIZarUZKSgr27NmDO++8E3v27IGfnx8GDx7MbzNu3DgIBALs27cPt9xyi1OPaTG0rqnQhhMLwPTmupHfxU49FiGEEOIs6l3oDbpAjpBtiIzmhs8oKChASEiI3XqRSISAgIA2DdvR2p6FNvXT61BzISEdoTU/ignpyjxek0UAGZNi5+gt4IQCiELbXqtk0RhhrtJDIBdB6C9r1X3kInmbH8+TGGMtTqdzpSun12luXC1CSPts/eYLnNu3G/cu+AAKtZ+ni0OIR1CQ5Q3MDHKhHJxMBLG47UGPWWqEWSgAByHELmgCdIZtiIzCwkKEh4fzywsLC5GcnMxvc+UckiaTCWVlZc4P22F2foR8vsbLwqz3b+NwGYSQ5jHGcHL7FtRqNcg+cQy9rh3l6SIR4hHUXOgF2jwx9BU8OSBpfHw8wsLC7IbPqKqqwr59+/jhM1JTU1FRUYGDBw/y2/zxxx+wWCxISUlx6vEaNhW2doR8juNovCxCOoCusgK1WuvQLKW5Hhh3kBAvQTVZ3sA2fENbx8iq03AiZGZhbZqepzkajcZuuIysrCwcOXIEAQEBiImJweOPP47XX38dPXr0QHx8PF544QVERERgypQpAIDevXtjwoQJmD17NpYuXQqj0Yh58+bhzjvvREREhFNlaTidjjM4scDaXGg0A3I6/Alxh7K8HIf/E3K1obOMF2jvGFk2nKBuLCgLAzNZWp2r1FoHDhzAddfV94KcP38+ACAjIwNff/01nn76aWi1WsyZMwcVFRUYMWIE1q9fD5msPj9s+fLlmDdvHsaOHQuBQICpU6fio48+cros9YOQOveaWYMyE9VkEeJGDWuvSnOzPVgSQjyLgiwPY4zVT+rsghwhTiQAM5itgZuLg6zRo0c321uI4zi8+uqrePXVV5vcJiAgAD/88EO7y2IdhqFtNVnW+1OQRYi7lDaovSrPvwyL2QyB0LXfR4R0BpST5WkWZh2lHe1vLgQa5HWZu27XaWa21M/12MrhG2xoeh1C3K8sr772ymI2oaLQ+SFaCOkKKMjyMFvSO4Sca3KoPJj83lGYwfmkdxtOKKifXodqswhxC1tzoVBsHfS3NI+aDMnViYIsD2MuSnq3se2nSwdZbWwqtKlvMjS7rEyEEKtajQbainIAQNyAawAAZdTDkFylKMjyNJNzYz21xNZcyOd5dUH10+m0cTJtCY38Toi72PKxfAKDEN69p90yQq42FGR5WH3PQtcMt8AHa2ZLl53Sor4mq41BFiW/E+I2tiEbAiOjERAZZbeMkKsNBVkexsx1J3oXNRdCwAGcrTar6wUR9knv7W0u7LqBKCGeYhuywRpkRVuX5eWAWbre9xEhLaEgy8OYq5sLOa5L9zDkk95Fzie923AiAcDB2quzC75GhHiSrdYqIDIafqHhEAhFMOn1qC4t8XDJCOl4FGR5EGMMMLu2uRAAXyvWJWuybE2FbczHAmyBKCW/E+IOtvyrwKhoCEUi+IdbZ3OgQUnJ1YiCLA/ik9M5jh9WwBU8OYehu/FJ721sKrSx3d9CeVmEuIyxthZVxdZJ4AOjYqzXDZoMCbnaUJDlSQ1qsTjOlUFW1+1h2NbpdK7E52UZKMgixFXKLucCAOQqNeS+KgBAQJQ1yKLkd3I1oiDLg/iaJlclvdfh87tcXJO1YMECDBkyBL6+vggJCcGUKVNw5swZu21Gjx5tbY5rcHnwwQfttsnOzsakSZOgUCgQEhKCp556CiaTqcXHtya9u6omq+vW9hHiKXzSe11gBTSoyaKxsshViOYu9KD6pHcX5mOhQXNh3TAOrqol2759O+bOnYshQ4bAZDLhX//6F8aPH4+TJ09CqVTy282ePdtu/kKFQsH/bzabMWnSJISFhWH37t3Iz8/H9OnTIRaL8eabbzb7+HwtVjuS3m344R9oeh1CXKa0wfANNrYehmV5OS79PiKkM6Agy4Pqh2/gYNHpXLdfxmCpqQEAWKq5ZnsucnJ5q7/01q9fb3f766+/RkhICA4ePIhRo0bxyxUKBcLCwhzuY+PGjTh58iQ2b96M0NBQJCcn47XXXsMzzzyDl19+GRKJpOnnZWjf+FgNcUIBIOQAM6Pkd0JcxFZbFRAZwy/zj4gExwlQq9VAV1kBpZ+/p4pHSIejIMuTbE1VRj3ODEnxSBF6HjoIrkFNkzMqKysBAAEBAXbLly9fju+//x5hYWGYPHkyXnjhBb42a8+ePUhKSkJoaCi/fXp6Oh566CGcOHECAwcObPLx6vOx2tdUaMOJhWBmk3W/9EkgpN3KHNRkiSVSqENCUVGYj9LcHAqyyFWFTi0ewhirT0wXdr7qc4vFgscffxzDhw9Hv379+OV33303YmNjERERgWPHjuGZZ57BmTNn8MsvvwAACgoK7AIsAPztgoKC5h+zwcTQrsCJBWC1oCCLEBcwGY2oKMgHYJ+TBQABkVHWICsvGzH9+nuieIR4BJ1aPMXCrINhAhD4KNHz0EGX7t5UoYdFa4TAVwKRqukmOE4ub9P+586di+PHj2Pnzp12y+fMmcP/n5SUhPDwcIwdOxaZmZlISEho02MBVyS9u6wmq8H0OnLqA0JIe1Tk54ExCyRyBZT+9rXbgVExuHDoL+phSK46FGR5SMNaLIFQALSxya4pQrMIsOghEIsgULQtkGrKvHnzsHr1auzYsQNRUVHNbpuSYm0GPX/+PBISEhAWFob9+/fbbVNYWAgATeZxAQ3mGXRB0ruN/fQ6na82kRBv0nAQ0ivzPAOohyG5StHPdw9h5vqecu7Aj5XlwmljGGOYN28efv31V/zxxx+Ij49v8T5HjhwBAISHhwMAUlNT8ffff6OoqIjfZtOmTVCpVOjTp0/Tj10XZAlc1FQI2KbX4QDGaCgHQtrJFkDZBiFtKJDGyiJXKarJ8pS6kzrn4jGyeG6YWmfu3Ln44Ycf8Ntvv8HX15fPoVKr1ZDL5cjMzMQPP/yAG264AYGBgTh27BieeOIJjBo1Cv37W/Mwxo8fjz59+uC+++7DO++8g4KCAjz//POYO3cupFJpk4/N9yx0UVMhUDe9jlgAZjBTkEVIO5U2mLPwSgER1mXainLUajSQ+fh0aNkI8RSqyfIQd42RZcPXkFlY/VAR7fTpp5+isrISo0ePRnh4OH9ZsWIFAEAikWDz5s0YP348evXqhSeffBJTp07F77//zu9DKBRi9erVEAqFSE1Nxb333ovp06fbjavliG36G1clvdvUT0FEY2UR0h5lDgYitZEqFPAJDAJA0+uQqwvVZHkIH/i4q7lQUDcfooWBmRk4F1QAMdZ8IBIdHY3t27e3uJ/Y2FisXbu29Y9rYfU1f64OsiQCQEcjvxPSHhazGeX5eQDsh29oKDAyGprSEpTl5SCyZ++OLB4hHkM1WR7C3N1ciK4zUbStqRBCgctfL7sehoSQNqkoLIDZZIJIIoUqKMThNvXT62R3ZNEI8SgKsjyAWRhgdm9zoXXf7pnDsKPxSe/tnBTaEX4ORAuj6XUIaSNbQntARBQ4gePPacPpdQi5WlCQ5QF8UyFX16TnJnwPw06eb1Q/nY7rkt5tOAFXP0E3BVmEtImjiaGvZFtHOVnkakJBlic0SHp362SpDSaK7szqp9NxU/6auGu8ToR4SlkzPQttbOuqiotgrK3tkHIR4mkUZHmAu5PebTg3DOPQ0ZilfgwrVye92/D7deGYYoRcTRoORNoUhUoNua8KAFB2ObdDykWIp1GQ5QEdkfQONMj3MnfefCNmdF/Suw1fk9XJm1UJ8QRmsaAszxo0NVeTBdQPVEpNhuRqQUM4eIC7x8jiCbj6Ec3NFnAC1+c0uRtz8aTQjgjqcr2YxeLSEfJJ18BMFhiLdDDma2HM14ITC6AYEAxxmNLTRfMK1aUlMOprIRCK4Bca3uy2AZFRyD113OU9DC16Ewy5GhhyqmHIroa5Sg+RnxSiQDmEgTKIAuQQBckgVEldNi1XZ2bRm1F7ugw1fxfDVFIDxcBQ+AyPcNsMJFczCrI8wc1T6thwHAdOxIEZmTUPTOzWh3MLW02WO3oW8kQcwAFggKm8BlC6dq5H0nmYqw18MGXM18BYoIWxqKZRp4jqrTkQR/pAcU0IFAOCIfRpehL2rs4WMPmHR0Aoav6UYqvJak8PQ2ZhMBXpYMiuhj67CoacapiKdMAVv4+MuZrGdxZyEAXIrBdbABYohyhQBpG/rEsHGdbAqhQ1x0pQe7bcbtiaynVZ0OzLh98N8ZD1DXRvrvBVhoKsDsYYazA5tPs/0JxIYJ0AuZPmZdXXZLmvFs4ajFrfC1NxDdD8nNcEgLFYh5qjxag5UQqhWgr/W7tDqGp6WiRvw8wWmIprYLAFU3WBlUVjdLg9JxNBHK6EJFwJU4UetafLYMzToDJPg8o1WZD1CoDymhDIegV06RO1I3w+VgtNhUCDiaLzWp+TZa4ywJBTxddSGXI19WPnNSD0k0IS7QtJtC9EATKYKvQwldbAXFYLU2ktTOW1gJnBVFxj/Zyj3H4HHCBUSyEKklvf6wgfiCOUEAUrOm3tl0VvQu2pMuj+LkHtmXK74XyEgTIokoIgVEtR9UcOzGW1KP3+FKTd1FDf2A2SCJr6yBUoyOpoFgawDmouBDp1D0O7pHd31mQB9kEWcchUWgPdsRLUHCuGMV/LLzfma1H44WEE3NETskR/D5bQMWa0wFighSFPA2OeBoa8ahgLdY47OnCAKNB6khWHKa3XEUoI1VK7X/dmrRE1R4qgPVQEY54GtSdLUXuyFAKFCPIBwVAOCoU40sclNQIWnRHGkhrAxCAKlkPgI3ZbTQMzW2AsqoExTwPjZQ0MlzUAAxSDQqBIDoHAwdyhtomhAxxMDH0lW2J8RcFlmE1GCEWNq9eZ0QLd38WoPVVmbfqr1DfahpMIIYnygSTGF5JoFSQxvhD6Nl+byCwM5rrAy1QXeJlLa6wBWFkNmMECc4Ue5go99Ocr6h9LLKg7DqxBlyTCB+JQpVtTGNqDD6zqaqwaBlaiQBnkScGQJwVBHKHkjyPFNaGo3p6D6h150F+oRNHHh6EcEgbV9bEtvq6keRRkdTC+Rkko6JAqWU7ourGyXn75Zbzyyit2y3r27InTp08DAGpra/Hkk0/ixx9/hF6vR3p6Oj755BOEhoby22dnZ+Ohhx7C1q1b4ePjg4yMDCxYsAAiB80M9UnvXId1EjAW69z6OJ2NqUKPmmPF0B0rtm9+EXCQ9fCDrHcgtPvyYczXouSr4/AdHQXV9bFuf7+awoxma+1UnoYPqoyFOodjoHFSofXk2TCgClM6DCSuJFSK4TM8Ej7DI2Es1EJ7sAi6w0WwVBug3ZMP7Z58iEIUUA4KgWJgSIu1fMxohqm0FsbiGphKGl50sGhNjcotClFAHCSHKEQOUZAC4hA5RIFyp2rRLAaztTn0sgbGy3VBaKGWH2KmIcOlKlSuuwjl0DD4DAuHyF/Gryvja7JargL28Q+ERC6HoaYG5fmXERQdy68zltRAuy8fuoOFsOgaPGcOEIcqrMFUtC8kMb4QhThfu8QJ6psKr8QYg0VjtAZgxTUw1L0mxnwNmMFirUHLrq6/g4CDOEQBcYQ1+LLVeglknjmlWmob1FidLbN7D0VBcsiTgqyBVbjS4XlHIBVCPT4OyiFhqFyXhZpjJdDuL4DuaDFUY6LhMzzyqquhdRUKsjpYhyW913H1qO99+/bF5s2b+dsNg6MnnngCa9aswc8//wy1Wo158+bh1ltvxa5duwAAZrMZkyZNQlhYGHbv3o38/HxMnz4dYrEYb775ZqPH6oimQhvbY1BNlrV5Rvd3MWqOlcBwqap+BQdIE/yg6B8MWd9ACJXWWgjloFBUrLkA7d58VG/LhT6rCgF39YLIz73Nh3YBVW5dQFWkBRwc6gKFCOJIH0gifeuufSD0l7rkh444VAm/G+KhTo+D/nw5tIeKUHOiFKYiHSrXXUTl+ouQ9vCH8poQiKN8YS6tgbFhIFVcY62taeZ3kFAlAUQCmMtrwfRmGHOqYcyptt+IA4QBMmvwFayAKFgOcd01J+RguGwLqDQwXNbCVNw4jwmoCz4jfCCpCyAsOiM0e/JhLquFZnsuNDtyIesTCJ9rIyCJV6E0zzYQacs1WRzHITAyBvnnz6A0NweBETGoPVUKzb586M9V1D9fPykUg0Ih7aaGJMoHAql7T1Ucx0HoK4HQVwJpnBq2Lg3MwmAqqeFfM9vrZ9GZrAFqgRY4VMTvRxQkh7SHH2SJ/pAm+LUqYG8rY0kNak+XofZsOfQXKuwDq2BbYBUMcZii1ce5yF+GwLt7Q39tJSpWX4AxV4PKdReh2VfgsnwtZmbWjiS51dbPYhdvlqQgq4MxB0nvjDGYDO5pzmNmBqPBDBjNYLWmRh8QkcS5GjWRSISwsLBGyysrK/Gf//wHP/zwA8aMGQMAWLZsGXr37o29e/di2LBh2LhxI06ePInNmzcjNDQUycnJeO211/DMM8/g5ZdfhkRiXy3tzul0rmR7PyxaI8waQ6dLZLbUmmCpNYMTctbaS1vtn4Br1S9+s8aAmuOlqDlWDH1WZf3JlwMkcSoo+gdD3i/IYdMBJxbAf0p3SBPUKP/vORguVaHoo0Pwvy0R8j6BLn2ejDHUni5D9Y5cawDoKKBSivlAShLpA3GkD4R+rgmomsMJOch6BkDWMwCWWhN0x4qhO1gEw6Uq6M+WQ3+2vPn7y4QQBdfVUAXJIQquuw6UQyCt6wFrssBUWgNjkbWWy1RUF7AV6cD0ZphLa2EurQXONP9YNgIfsfU1atAUJvSXNTpmfIZHovZ0GTS7L0N/vgK1J0pRe6IUwmApIgXdkS04Bf/wyFY9ZkBkNCqy8mDaX4n8rfthqTLUvQCALNEfymHhkPUM8Io8KM5WYxWigCLZuowxBnOlwRp41TWrGi9rYa7U84Gzdk8+IOQgjVdDlugPWU9/a+1bO45Bi8EM/YVK1J6xBlbmUvsBXW2BlaJ/MESh7XssaZwaIQ8nQ3e4CJXrL/L5WpJ4Nfxu7AZJZOsCI2ZmMBXrYMittr5WuRoY8rX8j37fsTEUZBEXs9VkNWhOMRks+Pyx7R4pzpwP0yCWtv7X1rlz5xAREQGZTIbU1FQsWLAAMTExOHjwIIxGI8aNG8dvm5jQAzHRMdi19U8M6T8Iu//chaR+SQgJrp9ANj09HQ899BBOnDiBgQMH2j2WrbmwQ2qyGgQjxgIthN29P8hiFgb9hUpo9+ej5kRp04OpCgAIBA0CMIFdMAaOs9ZqNAhYJDG+kPcP5hNjW0ORFAxJhA9K/+80jLkalH57Ej4jIqGeENfupgZmZqj5uxjV23KttQe2p2YLEviAyhdCtcTjvaMEMhF8hobDZ2i49aR7qBC6I8XWoQUC5XW1TXVBVN1FoGw514oTCSAOVUIcaj98hK25y1iks57o666NxTUwl9cCzFrLJQlXQlwXVEkifKw1ZK3ACTjI+wRC3icQxkItNHuszXrmYj2GBE1AcuB10GzJa9SUaFdGC4M+swIJmr7oEz0QgnwBLDBAoBRDOSQUyqHhDpvyvA3HcdbhIfykdj8izFojDJeqUHu2HLVnymAut+Z26c9XoHJtFoRqCWSJAZAm+kPWw69VTYvGkhprUHWmHPoLlfYtEg2DuF4B1hpLFx73nICDclAo5P2C+HwtQ1YlihYfhnJwGFTj7fO1+IAqTwNDbrW1Zjlfa9eLkd+3VAhJpI/ba7u9AQVZHYzPyeqg5kJXSklJwddff42ePXsiPz8fr7zyCkaOHInjx4+joKAAEokEal8VzBoDLDoTmMGMkIAg5OdchrmsFpcv5SHYLxDGyxprDYuQQ4DQOgJ0XmYO+vfoaw0+hdaAx93T6TRSF/ga87WQdfe+BG4bs8YA3cEiaPfnw9Tw16yQcxxoWQBYLGCmZlukrEMS9Lc2MbT1ZCcKlCPkwQGoXH8Rmp150OzMg/5iJQLv6gVRoPNDYzCTBdpDhajensv/cuckQihTw+GTEu6yJj93EgXJoR4fB/X4ODDG3FLehs1dSPCzW8eMZjAzc1m+kDhUCf8p3aFOj8PZ7/8ATuvhI/Zr1JQo7aYGx3Ewa43QHSyEdp/1eJVDBnBAOStCwt0jIe8b1CXyfYRKMR+IMmZtZqytq8GszayEudIA7V8F0P5VAAgASYwKsp7+kCUGWHOlBByY0YzaC5XQn7EGaqYraquEflL+PtLuarc3owIN8rWGhqFy3UXUHC2G9q8C6I4Vw+faCDC9ma/RayqgEkf4WDsq1P0gEgXKvaKmsiNQkNXBHDUXiiQCzPkwzW2PaSytAas1Qegn4/NoGj52a02cOJH/v3///khJSUFsbCxW/LgCMpH1F03DXmcArMGUSABOKrSORWU7wViso9AzvTXB1VJjhLmicS+ijkh6t+GT3698Dl6gqVorTiqEIjkYyqHhkET6gDEGWOqOM1vvTIt12BBmYYC5bsBVs3WAWtv/ogAZREGuGR+MEwngd2M3SLupUfbzWRhzNSj86DD8b+sBRVJwq/Zh0Zuh3Z+P6j/z+OYkgUJkTTZPDYdA0QkHfQM8EhByYiE4N7xcArkIuYJMHMtdi1HX3YdYUW+7pkRxmAKiUCVqTpTU1+BLhRD18sH/1iyEFpXomzQFnKDzB1hX4jgO4mAFxMEK+A6PBDOaoc+q4pv6TMU1MFysguFiFao2XILARwxRsAKGnOrGtVVxqrpm6PY3ObaHyE+GwLt6QX9tBCp+z4QxV4PqrfbjnXESIcSRSkgifSGJuvoCKkcoyOpA1pOcrbmw/qDjOM6pJjtncXIRLBYGAQChiLMGPu1NXmQMKrkPeiR0x9ljpzB2xHUwGAyoqKyAf3AgBAoRBHIRikqLEREfBXGwApHdonHw+GGIw5X8a1GSmQ8ACI+JBCcT1U0BZOFfp47srWN7T7wpyGqq1koc5QOflHDI+wfz+TpA3UlcCHBCz4/uL+8TiNDHBqLs/87AcKkKZctPQz+sEn6TujXZ/d2iM0Kz+zI0uy/zPcyEKgl8RkVBOTTMrYnExHlludlgYJD3DkRwWpJdU6KxQAdjgbW3rjhCCeWwcCgGhABiQLemCmajEZVFhfAPi/Dws3A/Tiy0NuvVDXFiKqtF7blyazPg+QpYNEYYNJUArGN1yXr6Q9az42qrnCGNVVnztY4UoeZ4KUQBsvoaqqCrO6ByxLvevS6OH6tK0HG1M0CDpG6dERadEeA4cGKBtYZJZP0forrbLQRfFqOlbj8maKqqcOHCBdw95Q5ck3wNxGIxth/fi9vvuB0AcObMGWRnZyM1NRUAkJqaijfeeAPFpSUICbF+2f6xaxtUKhX6DxsIsbS+fd5aI8OsUwN1FFtzYZEOzGTxWBNGa2utOgORnwzBc5JQtekSqrflQrs3H4ZLVQi4uxfEwQp+O3OVAdU7c6HdW8APNCkKlMF3dDQUA0O6RHNSV3TlQKQNmxK1BwthrtBD3j8Ikmhfu+8W/4hIFF/KQllezlURZF1JFCCDT4q1yZuZLNBfqoKppAbSOJVHa6taixNwUF4TCuU1oS1vfJWjIKsjOUh67wgChQjMYK4f+Z0x620HoyZzorqAq2EQJhTAUmvCU08/hRuum4CYqGjkFxbg1YVvQigS4Z4Z9yEoKgyzZs3CP5/+J4JCgqBSqfDII48gNTUVw4YNAwCMHz8effr0wX333Yd33nkHBQUFeP755zF37lxIpfYJkNYamY79ouEEnLVZs9oEY3ENJOEdNzcdszCYqw2oOVLc6lqrzoITCqCeEA9pvBplP52FMV+Loo8Pw/+WHpDE+KJ6Ry60Bwr5YFIcroTv6GjIk4LoV7EXq9FUQ1dZAcA6J2FDArkIviOa7m0YGBWD4ktZKM3NQcKgFHcW0+txIgFkCX6NculI10BBVgfiRy/v4KR3Tijgk46t0/pYAJOlLuiy3mbGuuDLtq628X5yc3Mxfd5MlFaUITgoGCNGjMDeZXsRGm2dFPaDDz6AQCDA1KlT7QYjtREKhVi9ejUeeughpKamQqlUIiMjA6+++mqHvA6tIQqSg5VUw5ivcVmQxUwWmKsNMFcZYK7Uw1xZd11V93+VHuYqg13SOicVQjEwBMohYZ2m1qolsp4B1ubDH89Af6ESZSvO8HNGAoAkVgXf66Ih6+nv9b/kCVBWN9K7b2AwJHJFC1vbswVl7ZnDkJDOgIKsjsTBOs2NB5s+OI6zDokgFgIN8pxtzXO22i7WIAiD2QJOLMD/Lf8/CBSiJmviZDIZlixZgiVLljT5+LGxsVi7dq2rn5bLiILlMJ6u5vOymLnudTBYwIxmWOqubbcbrrP+b4ZZY6wLoqzBVFPz4TXCAeIoX/gMDeu0tVYtEaqkCPpHEqq2ZKP6j2yAAdJEf6iui4Y0Xu3p4hEn1A9C2vKchVeyDVxqm1yakK6KgqwOJPSReO0gl7bmOUcBlLu6nXsjcbACRgCaXXnQ7LrscDqWNhFyEKqlEKokjq/V1u73npqOpiNxAg7q62OhSAoCAIjDOq5ZlriOrRYqoBUTQ18psMFE0VfT9wu5+lCQRVp0NX0BSqJ9oePHm2oQYHHW7smcWFB/LRaAEwshkNT/z0kEECjFEKrqAqe669YMNHm1oeCqc7NNDN2Wmiy/sHAIhEIYa2tQXVoCVVDrhvYgpLOhIIuQBkT+MoT/KwWWGhMEtkBKIrTW8lGQRAivtB01WUKRGH6h4Si7nIuyvBwKskiX1fXbJghxklAphjhIDqFaCoFC3KqhLQi5mhhqdKguKQZQ3/TnLFtwZqsRI6QranOQZTAYcObMGZhMJleWhxBCiJcry8sFACjUfpD7qtq0D1vyO/UwJF2Z00GWTqfDrFmzoFAo0LdvX2RnW3uHPPLII3jrrbdcXkBCCCHe5cpBSNsisG4Yh1IKskgX5nSQ9dxzz+Ho0aPYtm0bZLL6SWTHjRuHFStWuLRwhBBCvA+fj1VXG9UWtvtSkEW6MqcT31etWoUVK1Zg2LBhdnkqffv2RWZmpksLRwghxPuU8TVZUS1s2bSAiEiA41BbXQVdVSUUKhonjXQ9TtdkFRcXW+edu4JWq6XkYEIIuQrYBhENbEdNllgqgzo4xG5/hHQ1TgdZgwcPxpo1a/jbtsDqyy+/5CcCJl1TXFycdcT4Ky5z584FAIwePbrRugcffNBuH9nZ2Zg0aRIUCgVCQkLw1FNPUecJQjoRk8GAysJCAG0bvqEh2/0p+Z10VU43F7755puYOHEiTp48CZPJhA8//BAnT57E7t27sX37dneUkXiJv/76C2Zz/aTSx48fx/XXX4/bb7+dXzZ79my7uQgVivo5zcxmMyZNmoSwsDDs3r0b+fn5mD59OsRiMd58882OeRKEkHYpz88DYxZIlUoo/fzbta/AqBhkHT5AwziQLsvpmqwRI0bgyJEjMJlMSEpKwsaNGxESEoI9e/Zg0KBB7igj8RLBwcEICwvjL6tXr0ZCQgLS0tL4bRQKhd02KlV99+6NGzfi5MmT+P7775GcnIyJEyfitddew5IlS2AwGDzxlAghTmo4CGl7U0QCqIch6eLaNOJ7QkICvvjiC1eX5arFGINJr/fIY4uk0jZ9URoMBnz//feYP3++3f2XL1+O77//HmFhYZg8eTJeeOEFvjZrz549SEpKQmhoKL99eno6HnroIZw4cQIDBw5s/xMihLgVP51OZNvzsWxsQ0CUUU4W6aLaPK1OUVERioqKYLFY7Jb379/fqf0sWbIE7777LgoKCjBgwAB8/PHHGDp0aJPb//zzz3jhhRdw8eJF9OjRA2+//TZuuOEGfr1Go8Gzzz6LVatWobS0FPHx8Xj00Ucb5QZ5E5Nej48ybvPIYz/6zX8hbjAUR2utWrUKFRUVuP/++/lld999N2JjYxEREYFjx47hmWeewZkzZ/DLL78AAAoKCuwCLAD87YKCgrY/CUJIhynjk97bl48F1OdkacrLoNdpIVXQfJaka3E6yDp48CAyMjJw6tQpMMbs1nEcZ5ez05IVK1Zg/vz5WLp0KVJSUrBo0SKkp6fjzJkzDnsw7t69G3fddRcWLFiAG2+8ET/88AOmTJmCQ4cOoV+/fgCA+fPn448//sD333+PuLg4bNy4EQ8//DAiIiJw0003Oft0SRP+85//YOLEiYiIiOCXzZkzh/8/KSkJ4eHhGDt2LDIzM5GQkOCJYhJCXMwVA5HayJQ+UPoHQFtehtLcHEQk9mr3PgnxJk4HWTNnzkRiYiL+85//IDQ0tF1t8gsXLsTs2bMxY8YMAMDSpUuxZs0afPXVV3j22Wcbbf/hhx9iwoQJeOqppwAAr732GjZt2oTFixdj6dKlAKyBWEZGBkaPHg3AeuL/7LPPsH//fq8NskRSKR795r8ee2xnXbp0CZs3b+ZrqJqSkpICADh//jwSEhIQFhaG/fv3221TWNdLKSwszOlyEEI6lsVsRnn+ZQDtG76hocDIaGjLy1CWR0EW6XqcDrIuXLiAlStXonv37u16YIPBgIMHD+K5557jlwkEAowbNw579uxxeJ89e/Zg/vz5dsvS09OxatUq/va1116L//3vf5g5cyYiIiKwbds2nD17Fh988EGTZdHr9dA3yImqqqpq47NqG47j2tRk5ynLli1DSEgIJk2a1Ox2R44cAQCEh4cDAFJTU/HGG2+gqKiIr6nctGkTVCoV+vTp49YyE0Lar6IwHxazCSKpFL6BQS7ZZ0BkNLKPH6Xkd9IlOd27cOzYsTh69Gi7H7ikpARms9lhjk5T+TlN5fQ03P7jjz9Gnz59EBUVBYlEggkTJmDJkiUYNWpUk2VZsGAB1Go1f4mObn81eFdlsViwbNkyZGRkQCSqj9EzMzPx2muv4eDBg7h48SL+97//Yfr06Rg1ahSfpzd+/Hj06dMH9913H44ePYoNGzbg+eefx9y5cyFtQ40aIaRj8YOQRkaDEzh9+nCIJoomXZnTNVlffvklMjIycPz4cfTr1w9isdhuvaeb5D7++GPs3bsX//vf/xAbG4sdO3Zg7ty5iIiIwLhx4xze57nnnrOrIauqqqJAqwmbN29GdnY2Zs6cabdcIpFg8+bNWLRoEbRaLaKjozF16lQ8//zz/DZCoRCrV6/GQw89hNTUVCiVSmRkZNiNq0UI8V5lebkA2j8IaUM0UTTpypwOsvbs2YNdu3Zh3bp1jdY5k/geFBQEoVDI5+TYFBYWNpmfExYW1uz2NTU1+Ne//oVff/2Vb8rq378/jhw5gvfee6/JIEsqlVJNSiuNHz++UYcHAIiOjm7VYLSxsbFYu3atO4pGCHGzhjVZrmKryaosKoTRoIdYQt/FpOtwur73kUcewb333ov8/HxYLBa7izM9CyUSCQYNGoQtW7bwyywWC7Zs2dLk9Dypqal22wPWnB7b9kajEUajEYIrqrGFQmGjoSYIIYQ4hx+I1AXDN9jIVWrIfHwBxlB+Oc9l+yXEGzhdk1VaWoonnniiUW5UW8yfPx8ZGRkYPHgwhg4dyjc12XobTp8+HZGRkViwYAEA4LHHHkNaWhref/99TJo0CT/++CMOHDiAzz//HACgUqmQlpaGp556CnK5HLGxsdi+fTu+/fZbLFy4sN3lJYSQqxWzWPjmQlcMRGrDcRwCo6KRd/okSnOzERLXzWX7JsTTnA6ybr31VmzdutUl4x7dcccdKC4uxosvvoiCggIkJydj/fr1fACXnZ1tVyt17bXX4ocffsDzzz+Pf/3rX+jRowdWrVrFj5EFAD/++COee+453HPPPSgrK0NsbCzeeOMNrx6MlBBCvF1VSRFMBj2EIhH8Ql075EpApDXIouR30tU4HWQlJibiueeew86dO5GUlNQo8f3RRx91an/z5s3DvHnzHK7btm1bo2W333673YTEVwoLC8OyZcucKgMhhJDm2ZoK/cMjIRAKXbpvW44XTRRNupo29S708fHB9u3bGyU6cxzndJBFCCHE+9kCoAAXDULaEB9kUU0W6WKcDrKysrLcUQ5CCCFerIyfTifK5fu2JdJXFFyG2WSCUNTmaXUJ8SquGU2OEEJIl8YP3+CGmizfwGCIZXJYzGZUFOS7fP+EeEqrfi7Mnz8fr732GpRKZaNpba5EvfgIIaRrYYy5ZSBSG47jEBARhcIL51CWl4NAFw4RQYgntSrIOnz4MIxGI/8/IYSQq4e2vAx6nRYcJ4B/eKRbHiMwKhqFF86hNDcbPVKudctjENLRWhVkbd261eH/hBBCuj5bQrpfWBhEV/Qod5UASn4nXZDTOVkzZ85EdXV1o+VarbbRfHaka9mxYwcmT56MiIgIcByHVatW2a1njOHFF19EeHg45HI5xo0bh3PnztltU1ZWhnvuuQcqlQp+fn6YNWsWNBqN3TbHjh3DyJEjIZPJEB0djXfeecfdT40Q0gy+Z6ELByG9ki3Xi4Is0pU4HWR98803qKmpabS8pqYG3377rUsKRbyTVqvFgAEDsGTJEofr33nnHXz00UdYunQp9u3bB6VSifT0dNTW1vLb3HPPPThx4gQ2bdqE1atXY8eOHZgzZw6/vqqqCuPHj0dsbCwOHjyId999Fy+//DI/qj8hpOOV5dmS3t2XK2XrtVielwuLpfVTtBHizVrdT7aqqgqMMTDGUF1dDZlMxq8zm81Yu3YtQkJC3FJI4h0mTpyIiRMnOlzHGMOiRYvw/PPP4+abbwYAfPvttwgNDcWqVatw55134tSpU1i/fj3++usvDB48GADw8ccf44YbbsB7772HiIgILF++HAaDAV999RUkEgn69u2LI0eOYOHChXbBGCGk45Tywze4L8hSh4RBKBbDZDSgqrjY5aPKE+IJra7J8vPzQ0BAADiOQ2JiIvz9/flLUFAQZs6ciblz57qzrF0WYwwWg9kjF8aYS55DVlYWCgoKMG7cOH6ZWq1GSkoK9uzZAwDYs2cP/Pz8+AALAMaNGweBQIB9+/bx24waNQoSiYTfJj09HWfOnEF5eblLykoIcY6tudAdwzfYCIRCPqmeptchXUWra7K2bt0KxhjGjBmDlStXIiAggF8nkUgQGxuLiIgItxSyq2NGCy6/uNsjjx3x6rXgJO2fIqOgoAAAGk0cHhoayq8rKChoVNspEokQEBBgt018fHyjfdjW+fv7t7ushJDW01VVoqaqEgAQEOH6gUgbCoiMRkn2RZTmZqPbNUPc+liEdIRWB1lpaWkArDUWMTEx4DjObYUihBDiHWy1SqrgEIgbpIm4A02vQ7oap+cuiI2NdUc5rmqcWICIVz0zLgwnds2g/2Fh1vyJwsJChIeH88sLCwuRnJzMb1NUVGR3P5PJhLKyMv7+YWFhKCwstNvGdtu2DSGk47hzENIr2RLrqbmQdBU0rY4X4DgOAonQIxdX1UjGx8cjLCwMW7Zs4ZdVVVVh3759SE1NBQCkpqaioqICBw8e5Lf5448/YLFYkJKSwm+zY8cOfvBbANi0aRN69uxJTYWEeAA/nU5HBFm2mqzcHJflixLiSTQLJ2k1jUaD8+fP87ezsrJw5MgRBAQEICYmBo8//jhef/119OjRA/Hx8XjhhRcQERGBKVOmAAB69+6NCRMmYPbs2Vi6dCmMRiPmzZuHO++8k8/nu/vuu/HKK69g1qxZeOaZZ3D8+HF8+OGH+OCDDzzxlAm56tma7jqiJssvPBIcJ4ChRgdteRl8AgLd/pjtYTaZUJaXg6KLF1B86QJqqqsRlzwI3QeluL1plXQOFGSRVjtw4ACuu+46/rZtHsuMjAx8/fXXePrpp6HVajFnzhxUVFRgxIgRWL9+vd1wH8uXL8e8efMwduxYCAQCTJ06FR999BG/Xq1WY+PGjZg7dy4GDRqEoKAgvPjiizR8AyEewg/f4MaehTYisRh+YeEoz89DaW6OVwVZep0WxRezUHTpgjWoupiF0txLMJtMdtud3PEHRFIpug8ehl7D0xA3YCCEIveMkk+8H8eoTraRqqoqqNVqVFZWQqVS2a2rra1FVlYW4uPj7YIH0rnZ3tfYmBhcOnIAgZHRCInr5uliEeJRep0Oi2dMAwDM/c+PkPn4uP0xV737OjIP7MV19z+AayZOduq+FrMZl8+dRlluDoRiMUQSSd1FWnex3hZLpBBJ628LBPU9rBljqC4tRtHFLBRfvMDXUlUWFTp8TIlcgZC4bgiOi4dIIsXZvTtRWVjAr5f5+CIxZTh6DR+FqN79wAkoS8edmjt/e4LTNVmFhYX45z//iS1btqCoqKhRu7nZTCP1ks7JYjZj7eL3cenQfnCcAENuuhWpt90NUYMxuwi5mpRdttZiKf38OyTAAqzJ75kH9vKjzLekqqQYF48ewsWjB5H991HodVqnH1MgFPEBl9lkhF7reB++QcHWgCq2G0Li4hES1w2q4FC73NaRd2WgIPMsTu/cjjN7/oS2ohzHtqzHsS3r4RMQiJ6pI9F7xGiExCdQL/2rgNNB1v3334/s7Gy88MILCA8Pp4OEdHqMMdRqNdCUl6H44gUIxWKYjUbs/+2/yDy4H+kPPYbw7j09XUxCOlz9IKTuz8eyaWkYB5PRiLxTJ5B19CAuHjnIJ+bbyHxVCO+eCMYYTAY9THo9TAYDTAYDjAa9dZnBAHODzjUWswmGGhMMNToA1oFRAyOjERzXjQ+qguPiIffxbbH8HMchvHtPhHfvibTps5Bz4m+c3rUD5/btgqasFAfXrMLBNavgHx6BXsPT0Gt4mkvGH2OMwWI2wWwywWw02l+bjLCYTDAZjbCYjNbl5rr1dRUjnLXwDc7pHDiubhk46wZ166y3OQgEAkgUCsgUSkiVPpAqlRBLZRQXNOB0kLVz5078+eeffLd8Qjozi9mMqpIiVFdWAowhpFsCxmXMQdGlC9j8xRKU5mbj/55/CoNvuhXXUq0WucqUdWDSu01Agx6GNuUFl3HxyEFcPHoI2SeOwaTX8+s4ToDwHj0Rl3wN4gcMQki3BLvmv6Ywi6VB4GXggy+O4+AfEQWRuP15VAKBELFJyYhNSsbYWQ/h4pGDOLVrOy4c2Ify/MvY89//w57//h9C4hOQMCgFAqHQriz8/0aD4+UN/r8yN8xTOIEAUqVPXeClhJS/tgZh/HKlD4Jj4hAcG9/yTjsxp4Os6Oho6lpLugR9jQ5VRYUwm0zgOA5SpRIT586HQqGEOiQUUb36YuvXn+PUzm3467f/IvPAPkx46HGE96BaLdL1mU1GFF6w9iYOjHR/0rtNQN1E0TVVldj0+WJkHz+KisJ8u218/AMQlzwIcQMGITYpuU1NmZxAALFM1mG9AEViMboPGYbuQ4bBUKPD+QP7cHrnNlw8dhhFWZkoysp06eNxnABCsRhCkajuuv5/gUgEkch6LRRZA1LGbH8ABgYw1J3rGb+Ooe7cz6zrLRYzDDU61Gq10Gs1sJjNYBYLaqurUFtd1WIZh9w0lYKsKy1atAjPPvssPvvsM8TFxbmhSIS4F2MWaMrKoK2wzoUoEouhVPuj2mSx+wUs91Xhhkf+icRhI7D5yyUoy8vB/73wFAZPvgXX3n4P1WqRLqdGU42Lhw8g8+B+ZB05yDefBUZ3XJAlkcnhGxSM6pJiHNuyHoA1ZyqyVx/EDbgG8QMHIyg6tlM3SUnkCvQZeR36jLwOuqpKnN27C/lnT0EgujJZXwJxg/8dJfFb/68LohoEVa2pzXMlW/OsXquFXqe1Bl46jfU2v0wDva7+dkfWkHqK070L/f39odPpYDKZoFAoIL6iSrWsrMylBfSE1vQujIuLg1wu91AJSVuZDAZUFhXAWNfcIFep4BsYDL1ej4sXLzbZa7RGU22t1fpzKwDrHG7pDz2OiMReLiubtqIcFrMZcpXaJU0VpDFrz7ES1FRVwmyy5auY+FwWi8n+2tE6kVgMn8Ag+AYGwTcwGL6BgRBL3VMbwhiDXqeFrrICAKAOCYNQ5NqRdyoK8pF5cB8yD+xD7ukTYBYLv06h9kPPa0di9H3/gEDYcSftQ+t+x/GtGxGR2BtxyYMQ0zcJErmiwx6fdF7e1rvQ6SDrm2++aXZ9RkZGuwrkDZp7k8xmM86ePYuQkBAEBnrPGC7NYYzBbDJBIBRCcJV2H2aMoaaqCtWlxWCMQSAUQhUcApnS2sxQWlqKoqIiJCYmQtjMyeT8gX3Y/MViaCvKwXECDLpxCq6ddg/EEqnTZaoqLkLOyb+Re+o4ck8et2sSkcgVUKjUkKtUUKj9IPdVQ6FSQa5SQ6H2g8LX+r9cpYZCpaZaNQdqtRqUZF9ESfYllORcRHH2JZTmXGpT77OWyHx864Ku+uDLJyDQGoQFBcEnIJA/RmwdLXQVFdBVlkNbWQFd3UVbt4z/v6rCLkFbIBRCHRqOgIgoBERGWa/r/rcdyy2xWMzIP3eWD6yunMImKDoWCYNT0O2aoQjvnkhDDpBOpdMHWVeDlt6k/Px8VFRUICQkBAqFwquqrZnFApPJaO09YzDAaLRe295mUd3YMUKJFCKxbYwY7/oStfaSMcNsNIITCiAUidtVRrPJBE1ZGQy11qYPsUwO34BACEUiMMag0+lQVFQEPz8/u3kXm1Kjqca2b77AyR1/AAD8I6Iw4aHHEJHYu9nnVFlYgJxTfyP35HHknjqOqmL7eRw5TgBOwMHShmFQJHI5JDJ5fe6FWAyRWGK9fWVeRqN11mNCIpNBLJXxeSpiaYPbUhkkMjnEMmmLAytazGYY9XoY9bUw6fUwGvQw1tbCZLAua7iO4wSQKhSQKJSQKhTWHkoKBaQKJSQyeatO8CajEWV5OSjJvoji7IsozbmE4pxL0JSWONxeIBRC4effICdFBIHQei0UiRots922LTPqa1FdWsJfjLU1rXqP5L4qCCUS1FRWOJ2kLJErwCwWGPW1TW6jUPs1CLyi+f9VQcEwGvS4dOwwMg/ux4VDf6GmqtLu9Yjq3RcJg1LQbVAK/EJpjlDSeXWJIMtsNmPVqlU4deoUAKBv37646aabmq0B6ExaepMYYygoKEBFRUXHF+6KctQ3axj5pg04ekc5OF4OQCAS8kmRthMKx3VM4GULqPjnYbY2yzRssgAATiiEUCi0lk8ogkAkhEAoajHANRn0qKmutu6PA2RKH0hkcr4rso2fnx/CwsKcCpgzD+7Hpi8WQ1teBnAcBk2aguF33AuxRArGGMou5/IBVe6p49CUldrdXyAUIrRbd0T17oeoPv0Q2bMPJHIF9FotdFWV0FVVoKaqEjVVVQ1uW/+vqbvoqirbFJS1h0AotAvCAGYXOLmslxPHQSKTW3snNQzE6q5rNNaaqvL8vEbHi41vUDCCY+IQFB2LoJg4BMXEISAi0mUjcNua8zQNgq7qshJUl5SgurQY1WWlqC4ttusNZyNVKK21kmo/KNV+UPj5Qan2h8LPDwq1v3VZ3XLbMaUpK0VZXi7KLueg7HJu3f+5jY6thkRiCRiYXY2YVKFE/MDBSBg0FHHJg1pdC0aIt+v0Qdb58+dxww03IC8vDz17WntZnTlzBtHR0VizZg0SEhLcUtCO1No3yWw2201k7E4WsxlFWZkoybmE0rwclOZmW0cgdvD2SeQKBEZFIyAqBoFR0QiMioEqKBg1VVUoyc1GWW62dT+5OXa/aHkcB1VwCAKjYhAUFYPAqBjIfFUQSyUQSWTWmjBRywHOlWq1WpTl5aK87gRRejkXlQX5joMEjoMqKBi1Oh0MWo3jHXIcfAIC4BcaDr+wiLrrcPiFhgMchwO/r8TpndsBWOdES7t3JgIiIhvtRiwWt/kHQq1Gg23ffoET260TY/uHRyI4Nh65p47zeTQ2QpEIYd0TEdU7CVF9+iEisZc14GsH20m+pqoShtraunFxrOPgmIxGu9u2/00GQ/0ykxEmg3WZUV8LY20NHzAZamutgVOt9X+L2cngiePqAjEpxFJrsq5YJoO47lokkYJZLNZEWJ0OhhprsqxBp3U6UJMpfRAUE4fA6FgEx8QiKDoOQTGxkCqUzpXZDWzNg9UlxTCbjFD6+UOh8nNpE6+hRoeyy3kou5yL8gbBV3l+Hv9aqkNCkTB4GBIGDUVkr74uz+0ixBt0+iDrhhtuAGMMy5cvR0BAAABrPsu9994LgUCANWvWuKWgHcmb3qTS3Byc2L4ZJ//caq0xuYLSPwAhcd0QGp+AkPgEhMZ3h29QcKsDIE15GYqyMlF44TwKs86jMCuzyWaWhjiBoK4JydqcJJLK6m/bTqx1zVcVBZdRdCmryf1K5AoEx8bzl5C4bgiMjuFzWHSVFSjNzUZJbjZKc3NQmttMgMjvUw5DjbUZ55obbsbIuzLcmrd04dBf2PT5x9A0eI9EYgnCe/REVJ9+iOqdhPDEnm3K3fIWZpMRxlpbk18tjLXWCzhALJVBJJU2CKpkEIrFbW5KNxkM9cFX3bW+xtojyaDTQa/TQiyV1dVOxcLHP9Crmu29hcVi5n+M+YVF0GtEujxvOn8DbQiylEol9u7di6SkJLvlR48exfDhw6HRNFHr0Il4+k2q1WpwZvefOLFtM/LPn+GXy3xViO7dDyHxCQiJ74aQuAT4+Ae4/PG1FeXWwKsu+CrOzoJeo4FRX9vupiB1SKh19OTYeATHxSMkNr7RtBStpauqRGluNkpzslGaZ7vO4WuQlP4BmPDQ44gbcE27ytxatVoNjmyw/siI6tMPYQmJ1EuQEEI6kKfP31dyur5YKpWiurq60XKNRgMJ9XBqM4vFjOy/j+L4ts04/9cePn+CEwgQP3Aw+o0eh27XDOmQ2dyVfv6IHzgY8QMHN1pnNpka1GToGzUxGWvrEptra/gkZ1VQMILjuiE4Jh5Sheu6YStUaij6JCG6j33Ar6uqRGVRAQKjYtrdHOcMmdIHw269o8MejxBCiHdzOsi68cYbMWfOHPznP//B0KFDAQD79u3Dgw8+iJtuusnlBezqyi7n4eSOLTix4w+75rTAqBj0Gz0OvUdeB6WfvwdLaM/ay8rHqxNlFXXDGhBCCCGe5HSQ9dFHHyEjIwOpqan8QKQmkwk33XQTPvzwQ5cXsCvS63Q4s+dPnNi+BZfPnOSXy5Q+6DUiDf1GX08ztBNCCCGdnNNBlp+fH3777TecO3cOp0+fBgD07t0b3bt3d3nhupq80ydxdPM6nNu3GyaDtUs3xwkQl3yNtTlwUArl8BBCCCFdRJv78Pbo0QM9evRwZVm6vAuH/7KblqXv6HHoM2qMW5LXCSGEEOJZrQqy5s+fj9deew1KpRLz589vdtuFCxe6pGBdUd+0cdBrNeibNg5h3ROpOZAQQgjpwloVZB0+fJgfdPPw4cNuLVBXFhARiXH/mOvpYhBCCCGkA9DchQ542zgbhBBCCGmZt52/nZ6gbubMmQ7HydJqtZg5c6ZLCkUIIYQQ0tk5HWR98803qKlpPOt8TU0Nvv32W5cUihBCCCGks2t178KqqiowxsAYQ3V1NWQyGb/ObDZj7dq1CAkJcUshCSGEEEI6m1YHWX5+fuA4DhzHITExsdF6juPwyiuvuLRwhBBCCCGdVauDrK1bt4IxhjFjxmDlypUICKgf20kikSA2NhYRERFuKSQhhBBCSGfT6iArLS0NAJCVlYWYmBga44kQQgghpBlOj/h+6dIlXLp0qcn1o0aNaleBCCGEEEK6AqeDrNGjRzda1rBWy2w2t6tAhBBCCCFdgdNDOJSXl9tdioqKsH79egwZMgQbN250RxkJIYQQQjodp2uy1Gp1o2XXX389JBIJ5s+fj4MHD7qkYIQQQgghnZnTNVlNCQ0NxZkzZ1y1O0IIIYSQTs3pmqxjx47Z3WaMIT8/H2+99RaSk5NdVS5CCCGEkE7N6SArOTkZHMfhynmlhw0bhq+++splBSOEEEII6cycDrKysrLsbgsEAgQHB9tNs0MIIYQQcrVzOsiKjY11RzkIIYQQQroUpxPfH330UXz00UeNli9evBiPP/64K8pECCGEENLpOR1krVy5EsOHD2+0/Nprr8V///tflxSKEEIIIaSzczrIKi0tdThWlkqlQklJiUsKRQghhBDS2TkdZHXv3h3r169vtHzdunXo1q2bSwpFCCGEENLZOZ34Pn/+fMybNw/FxcUYM2YMAGDLli14//33sWjRIleXjxBCCCGkU3I6yJo5cyb0ej3eeOMNvPbaawCAuLg4fPrpp5g+fbrLC0gIIYQQ0hlx7MpRRZ1QXFwMuVwOHx8fV5bJ46qqqqBWq1FZWQmVSuXp4hBCCCGkFbzt/N2muQtNJhM2b96MX375hR/5/fLly9BoNC4tHCGEEEJIZ+V0c+GlS5cwYcIEZGdnQ6/X4/rrr4evry/efvtt6PV6LF261B3lJIQQQgjpVJyuyXrssccwePBglJeXQy6X88tvueUWbNmyxekCLFmyBHFxcZDJZEhJScH+/fub3f7nn39Gr169IJPJkJSUhLVr1zba5tSpU7jpppugVquhVCoxZMgQZGdnO102QgghhJC2cjrI+vPPP/H8889DIpHYLY+Li0NeXp5T+1qxYgXmz5+Pl156CYcOHcKAAQOQnp6OoqIih9vv3r0bd911F2bNmoXDhw9jypQpmDJlCo4fP85vk5mZiREjRqBXr17Ytm0bjh07hhdeeIHmViSEEEJIh3I68d3f3x+7du1Cnz594Ovri6NHj6Jbt27YuXMnpk6disLCwlbvKyUlBUOGDMHixYsBABaLBdHR0XjkkUfw7LPPNtr+jjvugFarxerVq/llw4YNQ3JyMt9Meeedd0IsFuO7775z5mnZ8bbEOUIIIYS0zNvO307XZI0fP95uPCyO46DRaPDSSy/hhhtuaPV+DAYDDh48iHHjxtUXRiDAuHHjsGfPHof32bNnj932AJCens5vb7FYsGbNGiQmJiI9PR0hISFISUnBqlWrmi2LXq9HVVWV3YUQQgghpD2cDrLef/99viartrYWd999N99U+Pbbb7d6PyUlJTCbzQgNDbVbHhoaioKCAof3KSgoaHb7oqIiaDQavPXWW5gwYQI2btyIW265Bbfeeiu2b9/eZFkWLFgAtVrNX6Kjo1v9PAghhBBCHHG6d2FUVBSOHj2KFStW4OjRo9BoNJg1axbuueceu0R4T7BYLACAm2++GU888QQAIDk5Gbt378bSpUuRlpbm8H7PPfcc5s+fz9+uqqqiQIsQQggh7eJ0kFVcXIzg4GDcc889uOeee+zW/f3330hKSmrVfoKCgiAUChvlcBUWFiIsLMzhfcLCwprdPigoCCKRCH369LHbpnfv3ti5c2eTZZFKpZBKpa0qNyGEEEJIazjdXJiUlIQ1a9Y0Wv7ee+9h6NChrd6PRCLBoEGD7IZ9sFgs2LJlC1JTUx3eJzU1tdEwEZs2beK3l0gkGDJkCM6cOWO3zdmzZxEbG9vqshFCCCGEtFebJoieOnUqZsyYgYULF6KsrAzTp0/H33//jR9++MHpfWVkZGDw4MEYOnQoFi1aBK1WixkzZgAApk+fjsjISCxYsACAdYyutLQ0vP/++5g0aRJ+/PFHHDhwAJ9//jm/z6eeegp33HEHRo0aheuuuw7r16/H77//jm3btjn7VAkhhBBC2o61waFDh1jfvn1Z9+7dWUBAAJs4cSLLz89vy67Yxx9/zGJiYphEImFDhw5le/fu5delpaWxjIwMu+1/+uknlpiYyCQSCevbty9bs2ZNo33+5z//Yd27d2cymYwNGDCArVq1yqkyVVZWMgCssrKyTc+JEEIIIR3P287fbZogurq6GrNnz8bKlSsBAF9++SUyMjJcHP55jreNs0EIIYSQlnnb+dvpnKxdu3ahf//+OHfuHI4dO4ZPP/0UjzzyCO644w6Ul5e7o4yEEEIIIZ2O00HWmDFjcMcdd2Dv3r3o3bs3/vGPf+Dw4cPIzs5udc9CQgghhJCuzunE940bNzYabyohIQG7du3CG2+84bKCEUIIIYR0Zm3KyerqvK1NlxBCCCEt87bzd6ubC2+44QZUVlbyt9966y1UVFTwt0tLSxsNAkoIIYQQcrVqdZC1YcMG6PV6/vabb76JsrIy/rbJZGo0CCghhBBCyNWq1UHWla2K1MpICCGEENI0p3sXEkIIIYSQlrU6yOI4DhzHNVpGCCGEEEIaa/UQDowx3H///ZBKpQCA2tpaPPjgg1AqlQBgl69FCCGEEHK1a3WQdeW0Offee2+jbaZPn97+EhFCCCGEdAGtDrKWLVvmznIQQgghhHQplPhOCCGEEOIGFGQRQgghhLgBBVmEEEIIIW5AQRYhhBBCiBtQkEUIIaTLMJstMNSaPF0MQgA40buQEEII8TYWswVF2dW4fLYCeWfLkX++EkaDGbF9A9FvVCRi+gVCIPDegbMLsipxcN0lFGRWYsDYKAy8PhZCMdV/dBUco0kIG6mqqoJarUZlZSVUKpWni0MIIaSOxWxBcbYGeWfLkXe2AvnnK2DUm5vc3idAir4jItF7eDiUamkHlrR5l8+V48Dai8g5VW63XB0sx6g7ExHTN9BDJevcvO38TUGWA972JhFCSGdRUahD1tESZB0rRlVJLRQqCZR+Uij9pPDxq/9fqbZeSxWiZqdos5gtKM6pC6rOVCA/swLGWvugSqoQIaKHHyIT/RHZ0w9CkQAnd17GqT350GutTYcCAYf45GD0S4tEZKKfR6aFY4wh52QZDqy7iPzzlQAATsChZ0oowrqpsX91FnSVBgBAt4HBGHF7D/gGyDq8nK5mMVtQVVKLsnwtygu0KC/QoTxfi35pkeh9bYRLH8vbzt8UZDngbW8SIYR4K4uFofBCJbKOleDisRKUF+icur9ILKgPvPgATAKLheHy2QpcPt9yUBUY4QPOQZOgyWBG5qEiHN+Rh4ILVfxyv1AF+o2KRM9hYZApxW174k5gFoasYyU4uO4iii5VAwAEIg69r43ANeNjoAqSAwAMNSbsX5OFY3/kglkYRBIBBt8Qh+RxMRCKvL8J0Wgwo6JAVx9I1V1XFOlgMTUONZJGR2HUnYkuLYO3nb8pyHLA294kZzDGYKw1o0ZjQE21ETXV1utanRH+YUpEdFdDqnD/lwohVxPGGIx6M/Q6Eww1Juh1Juh1Ruj5/00w6ExgYJD7SqDwlUDmI4ZCVXftK4FYJvRI7UpbGPVm5JwqQ9bRYlz8uxS1GiO/TiDgENnTD3H9gxES54uaaiO0FXr7S6Uemgo9X8vUkoZBVUSiHwIjfZzOsyrJrcbxHZdxdl8B37woFAvQY3AI+o2KQkicr8tff4uFIfNQEQ6uu4jSPC0Aa1DZd1QkksfFwMffcfNlaZ4GO348i8vnKgBYg8JRdyYiuneAS8vXHjUaA7KOllhrp/KtAVV1WS3QREQhkgjgH6aEf5jCeh2uQHC0Lx9guoq3nb8pyHLA294kwPolXpqngaZczwdONdUG1GiM9rerjTCbLE3viAOConysvwAT/RDe3a9DfskR0lnYAiZdlQE1VQboquuuqwzQVRtRqzFCrzM2CKZM0NeYwCzt+yoVigSQ+4oh95VYr30kdrdVQXKEdVN7rEZDW6nHxWMlyDpWgtxT5XbfM1KFCDF9AxE/IAgxfQMhlbeuT5XJYIa20sAHX5q6AExboQczM4QlqBGZ6I/AKOeDqqYYak04u68Ax3fk8YEPAARF+6DfqEgkDg2DWCps12OYzRac21+Ig+svoaLQWrMnlgmRNDoKA8ZEQ6GStLgPxhjO7i/ErpXnUVNlbUJMuCYEI27vDh9/zzUhVhTqcGRLDs7syYfJ2PhcI1OK4R+uqA+owq3Xvv4yh7WNruZt528KshzwpjfJaDDjzN4CHNuai/J8bct3qCOSCiH3Edf9ahZDLBWiOEfDf+B5tqCrh/UXYkQPCrpaYjZau4gbak0w1Jjr/jfDUGOCUW+G3FeMoCgfqALlHfKl0h5mswVZR0rAcUBsUiBE4vadXLyd2WhB6WUNKotrUFNtaBBIGfn/a6oNDk8erSEQcJAqRZAqxJDIRZAqRJDarhXWwMP2g8gasFmvTc0kbjckkgoR1dMfsX0DEN0nEOpg19YCNGQ2WlCcW43cU+XIOlaCootVdutVQTLE9w9G3IAghHdXQyj0/uashhhjKLhQheM7cpF5sJgPGgVCzq6GUWYLdH1sAa816LXVRoql9TWQZqMFp/bk49CGS6gurQVgDUAHjI1G0uioNn236mtM2P/7Bfy9NReMWY+BIZPiMGBMdIcF3Iwx5GdW4simbGQdK+Frq4KifRDRww/+YUoE1AVWct+WA0h38qbzN0BBlkPe8CZVldbg+PY8nNx5GXqdtUpdJBXCP1RR/0vX7oNvfy2WOD5Zaiv0uHyugu+Z4yjoCoz0QWRiXdV8Jwu6GGPQlOtRklMNQ60ZFjODxWwBszBYLKzudv3/jF9mgcXCwMwMZguDSW/mAydbEGWstdZYOMotcEQsFSIw0gdBUT4IjLJeB0QoIZF5fuQUxhguHivB7l8y+WNAqhQhcWgY+gwPR1CUr4dL2H5mswVleVoUXapCcXY1ii5VozRPA4u5de+fSCqEwtfapCf3lVivVRLIfSR80CSViyBRiCBTiCFRiCASC9rU5GQ0mBvVSNvXVBtQnKPhazRs1CFyxPQNREyfAET29G/yc98SxhiqSmpQcKEKhRerUJhVhZLc6kbHemi8CnH9gxDfPwgBEcpO07zZkhqNAad3F+D4n3moKq5x6r4isQCyuqBLU6HnE9flvmIkj4tBv7RIl3zmS3KrseP/ziI/05ow7x9mbUKM6uW+JkSL2YILR0pwZHM2CrPqg+y4pEAkXx+DiB6e6UDQHG84fzdEQZYDnnqTGGPIP1+BY3/k4sKRYtjeGVWQDP2vi0ava8NbXQ3fWtpKW9BVgctnyx0mrQZG+iAkzhdBdYFCYKSP1+R1aSv1KLpUbT2R1l3XVBtbvqMLiKRCSGRCSGQi67VcBJFECE25tReNw2CMA9RBcrvAKzDSB76Bsg77sirOrsauleeQd6YCgPVkIBQJoCnX89sEx/ii97Xh6DEk1C1BtrZCzyc0y3zEkPmIIa+7linETtcAWswWlOXrUJxdVXc8VKM0V+Ow6VyqFCEgTMkHTQ2DqIb/t7fJyNWYhaEkT4PsE6XIPlGGgsxKWBo0UQpFAkT0UNcFXYHwD1c0eUzVao0oulgfUBVerLLLq7KRKcUIS1AjLikQcf2DvGoIBHdgFgZNhZ6v5azVGKGrNqC2ifQMRzWeSj8pBo6PQZ8REW0Oepsr35l9Bdj9y3n+e67H4BBcO7VHk/ldbWGoNeHU7nwc+yMHVSXWGjmhSICew8IwYGw0AsKVLnssV6MgqxPo6DfJZDTj3F9FOLY1ByU5Gn55VC9/9B8TjdgOHExPV2VA3tlyPvBqqonSJ0CKoChfPkgIivKBOti9zWO6KkNdjYT1RFp8qQraSkOj7TgBh4BwJRQqMTiBAAIhZ70I6q85IQeBUOBgmfV/sdQaPInrgqeGgZREJoRYKoSgmeYRs9mCigIdSvM0KMnVoDTXeq2ralxeAJDIRQiMVCKqpz96DguDOljhstfNRlOux77fMnF6XwHArF+aA8ZGY9CEWIikQuSeKsPJXfnIOlrM1/YIxQJ0Sw5G7+HhiEr0b/P7qymv5QP5vHMVqCxquraA4wCpsj7okvtIGgdiSrE1UKg7DkpyNA5PeBK5CCGxvgiJ9UVwjAohsb4dGtC6k6HGhNwz5XzQVV1Wa7fex1/K13L5+MtQdKk+oGpUgw1rb7fgaF+ExqkQGm+9qILkXeK1chej3r4GkgGI6R3g9sFEa7VG7P/fBRzfkWdtQhQLEBjlwyeV+4Uq4B+mgCpY7lQzrrZSj2Nbc3FiRx7fgiJTitEvLRJJo6NalUvmaRRkdQId9SZpK/Q4viMPJ/7M43+ViMQCJA4LQ//RUQiM9HHbY7eWrsqA/MwKlOTUBwtXfpnbiKRCBEYo7QKvwCgfiCRCa3OcuUFzXd1ts8nxcouZwWQ0oyxfy9dUacr0jR6T4wD/cGXdiVSF4FhfBEVaH9Mb6aoM9oFXngbl+dpGTVjh3dXoNSwcCYNC2l17aag14fDGbBzZlM0HIolDQ5FyczeoAhvn9NRoDDi7rxCndl+2Swz2DZSh97Xh6JUa3uLYPVWlNbh8roIfhdv2a9iG44CgaF8o1BLUaqzJ5LVaI//F3hZimRAhMb4IjlXVBVW+1sD/KggSGGOoKNQh+0QZsk+UIu9cBcwt5JWpg+V8MBUap0ZQlA+NNN7JFGdXY/v/nbFrymtIIOSgDpZbA68wRX3PvlAFJA2+V0rzNDiyORtn9xfy30XqYDmSx0WjZ2q4y2vk3ImCrE7A3W9SQVYljv2Ri8yDRXx1v4+/FEmjo9BneARkPt7RFNcUvc7IBwq2YKH0srbFL/V24wD/UAWCY30RUlcrERTt63XNOs4ymywoL7A2dZ0/UIScU2V8U7GtJqnXsDBE9Q5wqkbTYmE4vTsfe/93gc/lCe+uxvDbeiA0ruXjmjGG4uxqnNqVj7N/FcJQUxcAcdZf672uDUe3AcEQiDhUl9rXVNmSfm04ztoEGZHoj8gefghvYigRs9lSH3RpjKipC75qbUOS1N2uqTZALBVaA+sYa02VX4jC6zsadBSTwYzL5yqsQdfJUtRojAiJ8a0LqtQIjVN5/fcMaR3GGMouXzEuVaH1f5Oh6e9kpVoCvzAlAManDgBAeIIaydfHIK5/kFdPR9QUCrI6AXe9SVlHi3Fg3SW7Xjrh3dXof100uiUHNdv85O0sZgsqimr4ZjFr8FXtsDkPQH0TnlAAocjWlNegaU8kgLDuVxhfMxHta/frq6vSlOtxdn8BTu/Jt8uRU6olSEwJQ69h4QiIaD4nIvtkKXavPM/XRKmD5Ui9NQHdkoPbVLNjMpiRebgYp3ZftvtClipFEEuFjWoZOQGHkFhfRCb6IaKHP8IT1FfFe0eIt7Dll/GBV4EO5YXW/3VXfC9znHWE+eRxMQjrpvZQiV2DgqxOwF1v0l9rsrD/9ywIRBwSB4ei/5hoBMd0/l5czdHrjLBYmDWYqgugOAF3VTThtBdjDEWXqnFmTz7OHii0G7gxJNYXvVLD0WNwqF2NROllDXavPI/sE2UArN3Hh0yKR7+0SJd1964srsHpPfk4vSefT5YXCDiExKkQkeiHyEQ/hHVTe0UvSkJIY3qdEeWF1sCrRmNEt+Rgtw4H0pEoyOoE3PUm6aoMOPFnHvqOjOwUCYTEe5iNFlw8XoLTewqQfbyUb2YWCDnE9Q9C4pBQZJ8qw6mdl8GYdXnS6CgMviHObUNwWCwM+ecqYGEMYfHqTt9sSwjp/CjI6gS87U0ipCFdlQHn/irE6b35dr1RbRIGBmPYLQnwC3F9D0VCCPFm3nb+pvp8QjoZhUqCAWOjMWBsNEpyNTi9Nx9ZR4rh4y9Dys3dENHdz9NFJIQQAqrJcsjbImFCCCGEtMzbzt+dtzsbIYQQQogXoyCLEEIIIcQNKMgihBBCCHEDCrIIIf/f3p0Hx1Ed+AP/9jmj0TGyLFsjWZeNT8BH8IXDbmCDC0MoEifZCiEp8LJeErLmdAJeDmOyyf5MyJKFAAUVqCxb+4sDYQvYXYeEEMc4SWEw+PhhjtjG2JaELp8jaUbT5/v90T09MzpsGXs0Y/P9uLr69euemdc9bfV3Xr+RiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoD4oiZD3++ONobm5GOBzGwoULsWXLluNu//zzz2P69OkIh8OYOXMmXn755WG3vfHGGyFJEh5++OHT3GoiIiKi4RU8ZD333HNYuXIl1qxZg23btmH27NlYsmQJuru7h9z+9ddfxzXXXIPly5dj+/btWLp0KZYuXYp333130LYvvvgi3njjDdTV1eV7N4iIiIhyFDxk/eQnP8ENN9yA66+/Hueeey6efPJJRCIR/PznPx9y+0ceeQSXX3457rjjDsyYMQM/+MEPcMEFF+Cxxx7L2e7jjz/GzTffjF/84hfQNG00doWIiIgoUNCQZZomtm7disWLFwd1sixj8eLF2Lx585CP2bx5c872ALBkyZKc7V3XxbXXXos77rgD55133gnbYRgGenp6ciYiIiKiU1HQkHXo0CE4joOampqc+pqaGnR2dg75mM7OzhNu/6Mf/QiqquKWW24ZUTvWrl2LaDQaTA0NDSe5J0RERES5Cn678HTbunUrHnnkETzzzDOQJGlEj7nrrrsQj8eDqbW1Nc+tJCIiorNdQUNWdXU1FEVBV1dXTn1XVxdisdiQj4nFYsfd/k9/+hO6u7vR2NgIVVWhqioOHDiA7373u2hubh7yOUOhECoqKnImIiIiolNR0JCl6zrmzp2LDRs2BHWu62LDhg1YtGjRkI9ZtGhRzvYA8OqrrwbbX3vttXjnnXewY8eOYKqrq8Mdd9yBV155JX87Q0RERJRFLXQDVq5ciWXLlmHevHlYsGABHn74YSQSCVx//fUAgOuuuw4TJkzA2rVrAQC33norLr74Yjz00EO48sor8eyzz+Ltt9/Gz372MwDA2LFjMXbs2JzX0DQNsVgM06ZNG92dIyIiok+tgoesq6++GgcPHsR9992Hzs5OzJkzB7/97W+Dwe0tLS2Q5UyH22c/+1msW7cO9957L+6++25MmTIFL730Es4///xC7QIRERHRIJIQQhS6EcWmp6cH0WgU8Xic47OIiIjOEMV2/T7rvl1IREREVAwYsoiIiIjygCGLiIiIKA8YsoiIiIjygCGLiIiIKA8YsoiIiIjygCGLiIiIKA8YsoiIiIjyoOC/8Z2IiOhsICwLwjThmiaEaUFYJoRpBvXZk2uagGX525qA4wCSDElVAFnJzBUZUBRIihLMJWXANpoGpbwMcjQKpbwckspLe7HgO0FE9CkhHGfIi/3Auux62DaEKwCRnlyIdNkVALyycF1AINgGQkAKl0BvaoI+aSLUceMgSVJe9885dgzm/v2wDh70XmvAJEkSIMsA/GU5e70MSABcATeZgJvwp74+OIms5UQSbl9f1rI3OYkEYFl53b+RkktLIUcroFREoVRUQIlWQK7wlweUlfJySOEwJD0ESdchh3RIIa8s6TokmTe8TgVDFhFRnriGAXPvXqR274axazecI4cHbTPkXzYb6o+dOQ6EbfuT5YUf08qq8+utrGXLyszTvSUFIpeVQZ84EaFJE6FPnBSUtaYmyLo+4udxEwmYBw540/79MPf78wMH4Bw7lr8dOFmynAkqug5J1yBpGmRdh6Rl1WuaN1dVL6g6DoTrALbjLdt2pj5nnQM4bhCc3Z4euMkkAATBz27vOPX9SLc5HbxCurfsh7JMSAUk+CF6UMCFH7Bz11d84Quo/MqXT72NRYwhi4joFAnXhfXxxzB270Zq1y4Yu/fA2L0b5oEDBQ02xyVJA0JA+uI5YFJVr/dHAiRJzlw4g7p0L1BW75DfU+T29cHYvw9Waxvcvj6kdu5EaufO3HbIMrT6eoQmToQ+aRL0ic0ITZoEuaICVmvroCBld3cfd7fUmhqosRpIkgwhsnrXXK93TcDvgRvUMwdvG1n2eoJKI5BLS6GUlkIuLfPrsqay0qz1pZDLyiCXlGTCiKLk650blrAsOL29cOJxuD09cHp64MR74PT4y4PKPXB7e+GaBoTh92Iahndc0iwLrmUBicRpb2/43HNP+3MWG4YsIjppwrZhtbfD3L8fAKDGYtBqa6GUlxe2YaPAPno0CFHG7l1eL9WeDyH8XoSBlGgUoalTEZo6FVpdrRdIBhrqNtqAKkmWAVWFpKqQVA2Spnq9IKrq13tlSVNz6zR/Wz0ESdeCIAVVzfvtuzTXNGG1tMD46COYH+2DuW8fjH37YH70Edy+PlgtLbBaWoBNm0b0fMqYMdCbm71bkc3N0Jv9eWMj5Egkz3tTvCRNg1pVBbWq6hM/hxDCHytmQZhGELyEacI1zJw61zT9oIqsYJYJsCJnnUi/QLAuNGXKKe5x8WPIOkMIIWB3dkKpqoIcChW6OTlcw4B98BDsg92wDx7MmZzDR6BEo9AmTMhM9ROg1dRA0rRCN71g3GQSZlsbrLY279N6q1eWwmHoDfXQ6hug1U+A3tAArba2IMdKCAHn8GG/J2G/d1HcfwDmvn0wW1uHHH8il5Z6gSsWg1obgxarhVYbC0KYFoudlougcBy/1+T0jxcRrgu7uxtmSwus1jaYba3evNVbdo4cGfJxkqZBnzwZ4alTEJo6LQhW6vj8j0UqdrKuIzR5MkKTJ+fUCyHgHDoE46N9MPd95IWvj7zw5fT2Qm9oGBykmpqgRKMF2pOznyRJgK5D0XUApYVuzhlPEkMOCPh06+npQTQaRTweR0VFRUHaIEwTqfffR3LrNiS3bUP/1q3eeANZht7U5P8An4LQ1KkIT50KraHhtF9wXNOE3dUFq71jUHjKntyenpN/clmGGquBXpcdvuoz5VjNcb8hI1zXG2sSfIPH8sadWN43eWDbUMePh1pdfQpH4JMTrgv74MFMgGpthdna6s3b2uAcOjTyJ5NlL6DU10NrqIde3+DP66E1NEAZM+akL+LCcTLjdfz3OROk9sPc5wUrt7d32OeQQiHojY2ALMPq7IQbj49sd6JRaDU1UGu9wBV888qyMu9j9jeyhpinb+t4g3qjkCujUKJRKNFKf+5P6fpKr16OegOBhWF4ITd4X/ww1dIKq63Ne43j0Orrg/+D4WleoNKbmvitLqICK4brdzaGrCEU4k1y+vrQv30Hktu2on/rNvS/8w5EKpW7kSx7F5chSCUl3ifFrB/6oalTh+02TvdSWB2dsDraYXd0wGrvgNXZCaujA1ZHO5yDIw8Ckq5DHTcOanU11PHjvPK4cVDGVMGJx2F9/HFmam/3BuEej6JArRkPSdX88JR78YVtj6hdSlVVJpBOmYLw1KkITZ4MufTUP6EJx4HV0eH17hzwxotYB1q8i3Zb2wn3Ua6o8HqqGhq83qsJE+CmUrDaPg7CmNXW5o2RON7zRCLQGhogl5RkBjlnD3i2LcC0ctZhpP/tJQlaXZ3XgzBxoj9vRqi5GWptbU6wd5NJWJ1dsDs7vPOqswN2Z2dWuQtuX9/IXrfQVNXb7wY/0DY0QKtvgN7YAK2hEUoZP+ETFSOGrDPAaLxJVlc3+rdt9XuqtsL4y65BAUqprETJ3LmIzJ2LyNwLEJ4xA/bRY/5YEG9K7dkN88O9w17QlepqhKdOgT7pHG/sQ2c6VHWeOOgAkMJh79bP+PFBcPKm6pxluaJixL0pwnVhHzrkh6723ADmTyfqSRi8o4o/9sSboMhwDh0eNkxoDQ0ITZnihVI/kOpNTYNuywnXhd3RkfVtpgOZclvb8b+yrSj+hdq//Zd9sW6oH9Etj+BYpXtd2tpybmHZXV0ndZiGbWplZSZE+UEqfWvmdN6edvr6vEDvh3lhmJlvVw051/xvYqW/lZVZJywLTjyemY7F4Rw75i97czdd72+THfLkaNTrDWxsyPQONjZ679UJelKJqDgxZJ0B8vUm9f3pz+hZvx7JbdtgtbYOWq81NCBywQUomecFK33ixBEFF2HbMFtaMsFr924Yu/d4r3G8t1eSoI4bB622FmpdLbTaOu+2VG0Mam0ttLo6KJWVoz6exLvVdgh2RzuEKwZdbLPDVDAN8U0eN5mEsXdvZpDynt1I7d4z7K06SdOgT5qE0OTJcPv7vZ6p1tbjhlFJ172LdJM36FZvaoLe1AitoQFaLJb3C7VrGF5QbfPbqaYHQ2cfn8wA6SCEqqp3PP1B0oX4JlQhCMuC09MDSVU5rofoLMSQdQbI15t06IkncPCRn3oLsozQ9GmIXOD1UpVcMBdazfjT9lqAHzI+/NALGPv2QamIQqv1BiCrtXXQxo/zvmX0KWMfOZITvIzde2Ds2RP8jplBNM0bgJsOUc1NfphqghqLfWoCChFRsWPIOgPk601KffABen73O0QumIuSz8yBUlZ22p6bTo1wXVjt7V7g2vsh5EjE651qbvK+3ccgRURU9BiyzgDF9iYRERHRiRXb9Zt/lIiIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoDxiyiIiIiPKAIYuIiIgoD9RCN4CIiIjObqZj4kjqSM40uXIyzh17bqGbllcMWURE9KkkhICAyJm7cOG4DlzhwhG5c1e4sF17yHWOcOC6Lly4wfOlHwMgKGevC15TeI+D8Nvl/8tuY7o+ZxvhLbhwYdgGUk4KhmMEZdMxvboh1hmOgZSdgu3aiGgRlGllKNVKgyl7uUwvG1RfppVBV3TEjTgOpw7nBqj+I7l1/UfQa/UOOv7fnvVthiwiIjrzCCFguVZwsbVdG5ZjwXK9yXbt45bTcwkSyvVylOvlqNArgnK5Xg5N1j5x+2zXRo/Zg2PGMfQY3vyYcQxxI464EUev2Ru0Kd1u0zVhOf48u94xg23T+zpUePIySibg0OhSJAVV4apgmlA2odBNyjuGLCKi48juaUj3ZGRf6IML/IALfjD3g0E6BKSfT0AEvSDBa2S9jhDe+vQ6y7W83ocT9EwYjhGU8x0kStQSlGvlOcErO5Cpsoq4EffCkxlHPBUPgtRQPRvFTJEUyJKcmcvK4DpJgSRJkCUZsiRDguQtQ4YkDShDCraRJRmQ4G0PCQCCbdLSy5Lkrx+wbVgJI6SGEFIyU1gNe3N/XVgJQ1f0nG01WUPSSiJhJ9Bn9iFh9SFh9iFhxHOW++w+JK0k+uwkElYSCScFw7VQoUZQpVegSivHWL3CK6enUBRVehRVoSjG6lGUa6WQZRXezkpApHrU38fRxpB1BjiaOoq3u97Gu4fehSZrqAxVIhqKDpqX6+Xef1ai0yTdmzFskHBNqLKacwshpISCC8GpSNkpHE0dxRHDu91w1DjqLaeO4GjqKJJ2Mgg9jnC8yR1m7oeZ9LbZt3eGvO0z4BbRmU6CBE3WoMoqNEWDKg2Yy2pmvazllF3hotfsRa/V683NXiSsBACg3+5Hv92P7v7uT9y2cq0883MsHEVU98rlejl0RYcma8FckzVoijfXZR2akpnnrJe0INQE/7JCSvrn5MAQBGBQaAoC01DntOsCdgqw+gG7H7BSgGMCrgU4lld2TMCxs8rW0Nu4DiDJgKwAkuLNZXVkdZC81zeTXlusBJDqB8xufznpTdnrg/r+3Da61ojfOxen+O25v1oJLF5zKs9Q9BiyilDciGNr11a81fkWtnRuwe6ju0f0OFmSUaFXoDJUiYqQN68MVaJCr0A0FIUiKcEn5ZxxAQPGBGRvE3y69i86wQUt6+LluA5sYQd1A7cJq2FEtAhKVe/efkSNBBfkiDZ8OaJGYDgGes1e9Jg9wdRr9qLH6AnqB87T6xzhAEDOD1qvYvhPjOkfpGElnDM+IXvMwrBlf79CSij4pKtKam5ZlqFKKhTZ++GtSmrOD29XuOi3+4MLWa/Ziz6rz5vMvqBuqHXpWyRA7niNtEFjO/w6ADm3i7J7aT5JwFAlFaV67tiNYD6g3nbtYNxGdog6kjqCfrv/pF97NMmS7F3g/Qt7EAiyLv6qrEJX9GCdKqvBRTt9YU9fyNMX+2C9lFkvSRJUSc3pnUiXs3spgvmAXgxVVk9L8E2zXRsJKxH8v8uesuss18r5IBjVo6gMZz4cpnu7AHiBxbUB4WQCh1bi9Xicbo4FJA8DiUNA4qA3T/rl/qN+AOnPCk/9Q9fZqdPftiLkSCocSfPnarDsSgogBLz7sLlzKT3PXufXS375ww4D8wq4X6OBIasI9Jl92Na9DVs6tmBL5xb85chfBnXznxM9BxfUXABZknPGLaS74tOf6tPjGihjYNgYyR2UfrsfR42j+WnQAOkLqiqpMByjqMeK5PQe+OHCci0krETQu2ELOzg3T5Uqq6gKVWFMeAyqwpl5VbgKES0ybHA9XnmoXgpFUiDL/hxyppy9Pv0+ySp0WYciK6e8f8NyXcAxANvwehfs1ICekayyYQHJZKY+/ZicXhLbmxzLLzuZuiEnJ7OtcLz2iPTkQBUuosJF1HW8C6hfH2zjDiw7WXN3wLI/H4KQZDhqKVw1AkcrhePPbbUMjhqBrZXCUSKw1VLYqje31AiEpEDtPwzNOALdOAw9dQS6eQR66ghC5hGErFM/Nwe1VdEBNQyh6HAlDa7shREbKix/MoUKUyhICQUpV0HKlZF0FPQ7MlKOBBkuZOF4c39S4ELNKgd1khOUJQD9Qkc/Qt7kl5MIIQUdSRHKWhdCP/ScsgUVJlTYQgnaasEr2/B7yvLgO+POYcii0y9pJbG9ezu2dG7BW51v4f3D7we9LmnNFc2YH5uPBbEFmBebh+qS49+7Nh3TG0SaOpYZ/2DEcwIZgCHHAgxXl14GAE3WggtU+tN4uqxISs669HK6l8ZwjOAinD0lrST6LO8+f8JKZMq2ty4dNiJqBBWhimDQbfa8QitDhStQbhmoMBIoT8VRkTiM8t5DUEurgfHnQoyfATF+OhCO5vTmAIN7d9LLKTuV08aElUDSTnq9SfaAer/96clyraB3zxVuUB5O8K0lZLZRJAVlehnKtDKU6+Uo1UpRrpUHPUHZdentNMUbhDxkD92AnrqBdYqk5ISnQbdp/FtLx+sNcYWbc1z6rD4kzETOcnZdn9WXMxA2O0Cly2Va2WntgTlprgv0HwH62oHeTqCvGzB6/ABiebdY0rd9Bi3bWfXpZROw06HJ8MrpMBUEKuOkbtmczSThQrV6AasXOM0dm46QcATlOCyiOCLKcRgVOCSiiKM0CCUp6EgJHSk/lKSENnQ9dLiQIUl+p00BqLKEsKYgpMrelC5n1aXXj1EVxDQZYVWBpkqQg3FeGVLQ8S8NUZf1uooMRZagKRIUWYYqS1AVCarsLXv13rIqy1CUTLl+TEl+D0oRYMgaRes/Wo9f7foVdh7cOeiiW19WjwW1C4JgNT4y/qSeW1d0VJdUnzCMnSlc4SJlp6BDgtrXBRxrAY61+vMWIP7/gGMHgPjHw34K9rwYlIyyesh1s6FNmAPEZgG1s4Dy2vzcjhgg+9Zr9q3V7NuqtmsjpIRQppchrIQLGy6yCeEFBKsvExDslB8KDG+9rEKWVZTJKsrS40b0aiAc88rpumBSEFyRXGdAr40BmCaQPJDpiclelw4nkgQoGqCEADUEKLo/H6pOz5Rl1Xuevi4vNPV1euXeLoi+Lrg9nRB9XZD6uiAnD0Jyhw/Io8WSNFjQYElabs/IgB4SU6gw/LkJxe+d8HojLChwgrkMGwococCGAhsyHKTL3uRAhi28vhPHnwQkuJDg9aFIEH69V5bgCK+c6YdJb5t5Djd7LjL16Tpd1xDWdZRqEkqRQqmUQglSiIh+lCKFCPpRin6ERQql6A/WlaAfJSKFEtEPBQ565Sh6lEr0ylH0qmPQp1SiV6lEn1qJpDoGSaUCkuwFBO+DhgTZ/y9nOi4My4VhuzBsBynLmxt2ut4rpywHblaoSgcsXZURLdFypoqwmikPmEdLNJSFVCiyF3hkCf4H3cFzWZIgDZjLkhdkqPgwZI2iQ8lD2N69HQBQW1obBKoFsQWoLastcOvgfWq3koCZ8AZGmllTevyBlfQGd2aPU0gP/Mwe/JldFk7W/Xp3mDK8Zf/+vQyBiOt44yROMC7IgoqP3bFoE9VoE+PQJsahE1WI4QjOk/fjPGk/GuWDCPW1AbvbgN2/Dh6b0sfAqD4fofo5CDd+BojNBqomAfJxhnOmg8HA2yvBrRU7c7vEL0vCgeI6UIQDLft2Sc7tGP8WTU4PR/r20Anqgls7Q4+PyD3WIrMf6WXXygQnO5UVptJBKg+Dv2XVOwajfHvUhQR5mNeUAAx1E/CwKEe3qMRBUYkelMKC4t9aUWD7t1RcSYWsqJAUDbKqQ1Y1KP5c1XSomg5bUhE3ZRw1ZBw1JRw1gEMpGQlHgQkNBjQ/IGkwocKADus03a6RJUCVZciyP5cyvRCKf5FO9zgoA6b0hT8nkMjeBV6RJOhyJgCkL/iSBOiKjNKQitKQivKwilJdQVlYQ1lIQWlIRZk/lYZUlIVVlOrqGRcWbCcdxlzYrouKsIawlsdbyXRGkcSgASvU09ODaDSKeDyOioqK0/a8rT2teKvrLcyPzUd9Wf3gngozAfS0Az0fAz0d/rw9U9fX5W0na/6ndc37dC6r/id1v0726xW/Xta8ngPb8ENUnx+e/HIQrJKnbV9PJ1cJoTcUQ6c0DnvMKryfrMTHWYGqG5WQZQXTY+WY3VCJOQ2VmDkhiqRpY09XH/Z09+Hjzg6oXTtRk9yN8+QDOE/aj3OkdqjS4PBgyCWw1DLvc7/wPmNLwoEkXEiuDem4PWdnP68XRYMpaTChQUAKjpUC1+8v8coaTq4XyBUSTKh+4PDDRlbo8Ja9MgDosKFLFnRY0GFDgw1dshFCbt2Q77PQcBDRIDwFc1TioIjiIMagR6lCQh0DRQshrMkIqQoEBBKGg6RpI2E4MJ3TE0BDqoyqUh1jIro3L9VRFdFQ6S+Xh1XoqgxNkaEr3lxTpEydmluX2carK5qeUaI8ytf1+5NiyBpC3t6keBvQ/RegNys4ZYeo1OkfjPlJCEiw5BIYcglSUgj9CCMFHYYUhinpMKEjJYVgwCsbkj9GAToMePWZZQ2O3zcgJCV4fu8WneyXATf9RWBJBvxbEq4A/t8xHe12OcSALwo3VkUwu6ESs+uj+ExjJc6tjaJEP/Gnx96UhQ+7veC1v/MQUm07UXL4PdT178F58n5Ml1oQlj75eBgHClxJgZAUCEmGkFRAlr19979uLflfvZZkBZKienNZgaR4Q1zTASMlVPQ7CpKOgoSjIGHL6LG8KW5Jfvjwtk8PUE1/nwcAXCEHy5nv8wxVJwW3ngzhvWdeL4oGAzoMkSmbUAe9Fyci+QN3FThQg/DlQIUNB3IQoNL7UBbS/N4Nr9ejPF0OaV5viF8OqbLfy5K+leL3pmT1vKRvqSiSC9W1oAoTirCgaCGoJWMQ0hWEVCUIUGFNQSg9VmWEwcS0XS9wmQ4Shu1PDhKmX/brk4YXONMBKjdM6SM6f4no+BiyzgB5e5M2/h9g04+Ov41eBlRMACrqsube5JSOR8oGDCMFwzBgGAZMMwXDMGGZBizLgGUasC0TtmXCsQw4lgnXNuE4FnptBUcsHUctFQcNFUdtDUkRRhIhJBAOyinoyNe3ST6JyoiG2fVeD9WchkrMqo9ibFnotL5G0rSxtzuBPR1HcbjtL0j29aHHFMEUTwnEDYFjKReGKwdjWJxgLIt80uHjVEkSUBXRUV0WQnW5jhJNheRlVn+eGbOBoF7KWp9ZVoPeD8Wb+wNldSWrnJ4UOWeb9KDZ9A+SzE8UkbM8cL0QAroqozysoiykoTSkoFRXIZ9ht4uIqHgUW8jimKxRdCTcgFDldCTDNegLjUdcG4+jajUOy9Xoxlh0iiocdkLep96kg76jdubTsOGg32of4llVf4p8ojZJEhAt0VBZoqExoqMy4pUrIzqiJRrGRLzBmbqa/ubh8AMxBy1DCi7mAtkX2+y/v5VbP/CC3Dw2gsaqSN5vdUR0FTPro5hZHwXmNw+7nRAC/ZaD3pSNnn4LPSkLPf22P7fQk7KRNG2kLBf9loOUP/WbzqC69HK/5cC0vVtO6eA0rjzkhaeydIgKYZw/ry7TMa4shKpSHarCXz5LRFSsGLJG0f9NXoifdFYdZ4sjI3oeSQIimoJISEVEV1CieYNI0+WI7q/LLutK8C2WyoiOMRENlSXeOA/2HIycJEmI6CoiuoqaivBpe17XFUjZDnRFZnAiIjpLMGSNolg0jKk1Zd63bXRvbEn6GzYRXQ2+cZO9vmzAcmlIRUgd5k880BlLlr3wRkREZw/+VB9FX5vXgK/Nayh0M4iIiGgU8L4EERERUR4wZBERERHlAUMWERERUR4wZBERERHlQVGErMcffxzNzc0Ih8NYuHAhtmzZctztn3/+eUyfPh3hcBgzZ87Eyy+/HKyzLAurVq3CzJkzUVpairq6Olx33XVobx/qd0wRERER5UfBQ9Zzzz2HlStXYs2aNdi2bRtmz56NJUuWoLu7e8jtX3/9dVxzzTVYvnw5tm/fjqVLl2Lp0qV49913AQDJZBLbtm3D6tWrsW3bNrzwwgvYtWsXvvjFL47mbhEREdGnXMH/rM7ChQsxf/58PPbYYwAA13XR0NCAm2++Gf/0T/80aPurr74aiUQC69evD+ouvPBCzJkzB08++eSQr/HWW29hwYIFOHDgABobG0/YpmL7tfxERER0YsV2/S5oT5Zpmti6dSsWL14c1MmyjMWLF2Pz5s1DPmbz5s052wPAkiVLht0eAOLxOCRJQmVl5ZDrDcNAT09PzkRERER0Kgoasg4dOgTHcVBTU5NTX1NTg87OziEf09nZeVLbp1IprFq1Ctdcc82wqXbt2rWIRqPB1NDAXxhKREREp6bgY7LyybIsfO1rX4MQAk888cSw2911112Ix+PB1NraOoqtJCIiorNRQf+sTnV1NRRFQVdXV059V1cXYrHYkI+JxWIj2j4dsA4cOIA//OEPx703GwqFEAqFPuFeEBEREQ1W0J4sXdcxd+5cbNiwIahzXRcbNmzAokWLhnzMokWLcrYHgFdffTVn+3TA2rNnD37/+99j7Nix+dkBIiIiomEU/A9Er1y5EsuWLcO8efOwYMECPPzww0gkErj++usBANdddx0mTJiAtWvXAgBuvfVWXHzxxXjooYdw5ZVX4tlnn8Xbb7+Nn/3sZwC8gPW3f/u32LZtG9avXw/HcYLxWlVVVdB1vTA7SkRERJ8qBQ9ZV199NQ4ePIj77rsPnZ2dmDNnDn77298Gg9tbWlogy5kOt89+9rNYt24d7r33Xtx9992YMmUKXnrpJZx//vkAgI8//hj/8z//AwCYM2dOzmtt3LgRl1xyyajsFxEREX26Ffz3ZBWjeDyOyspKtLa2FsXv2SAiIqIT6+npQUNDA44dO4ZoNFro5hS+J6sY9fb2AgB/lQMREdEZqLe3tyhCFnuyhuC6Ltrb21FeXg5JkgatTydl9nSdGI/VyPFYjRyP1cjxWI0cj9XIFeuxEkKgt7cXdXV1OUONCoU9WUOQZRn19fUn3K6ioqKoTq5ixmM1cjxWI8djNXI8ViPHYzVyxXisiqEHK63wMY+IiIjoLMSQRURERJQHDFmfQCgUwpo1a/hb4keAx2rkeKxGjsdq5HisRo7HauR4rEaGA9+JiIiI8oA9WURERER5wJBFRERElAcMWURERER5wJBFRERElAcMWSfp8ccfR3NzM8LhMBYuXIgtW7YUuklF5/7774ckSTnT9OnTC92sovHHP/4RV111Ferq6iBJEl566aWc9UII3HfffaitrUVJSQkWL16MPXv2FKaxBXaiY/V3f/d3g861yy+/vDCNLaC1a9di/vz5KC8vx/jx47F06VLs2rUrZ5tUKoUVK1Zg7NixKCsrw1e/+lV0dXUVqMWFNZLjdckllww6t2688cYCtbhwnnjiCcyaNSv4paOLFi3Cb37zm2A9z6vjY8g6Cc899xxWrlyJNWvWYNu2bZg9ezaWLFmC7u7uQjet6Jx33nno6OgIpj//+c+FblLRSCQSmD17Nh5//PEh1z/44IP46U9/iieffBJvvvkmSktLsWTJEqRSqVFuaeGd6FgBwOWXX55zrv3yl78cxRYWh02bNmHFihV444038Oqrr8KyLFx22WVIJBLBNrfffjv+93//F88//zw2bdqE9vZ2fOUrXylgqwtnJMcLAG644Yacc+vBBx8sUIsLp76+Hg888AC2bt2Kt99+G5///OfxpS99Ce+99x4AnlcnJGjEFixYIFasWBEsO44j6urqxNq1awvYquKzZs0aMXv27EI344wAQLz44ovBsuu6IhaLiR//+MdB3bFjx0QoFBK//OUvC9DC4jHwWAkhxLJly8SXvvSlgrSnmHV3dwsAYtOmTUII7xzSNE08//zzwTYffPCBACA2b95cqGYWjYHHSwghLr74YnHrrbcWrlFFbMyYMeLpp5/meTUC7MkaIdM0sXXrVixevDiok2UZixcvxubNmwvYsuK0Z88e1NXVYdKkSfjmN7+JlpaWQjfpjLBv3z50dnbmnGfRaBQLFy7keTaM1157DePHj8e0adPwne98B4cPHy50kwouHo8DAKqqqgAAW7duhWVZOefV9OnT0djYyPMKg49X2i9+8QtUV1fj/PPPx1133YVkMlmI5hUNx3Hw7LPPIpFIYNGiRTyvRoB/IHqEDh06BMdxUFNTk1NfU1ODv/zlLwVqVXFauHAhnnnmGUybNg0dHR34/ve/j7/+67/Gu+++i/Ly8kI3r6h1dnYCwJDnWXodZVx++eX4yle+gokTJ2Lv3r24++67ccUVV2Dz5s1QFKXQzSsI13Vx22234aKLLsL5558PwDuvdF1HZWVlzrY8r4Y+XgDwjW98A01NTairq8M777yDVatWYdeuXXjhhRcK2NrC2LlzJxYtWoRUKoWysjK8+OKLOPfcc7Fjxw6eVyfAkEWn3RVXXBGUZ82ahYULF6KpqQm/+tWvsHz58gK2jM42X//614PyzJkzMWvWLJxzzjl47bXXcOmllxawZYWzYsUKvPvuuxwHOULDHa9vfetbQXnmzJmora3FpZdeir179+Kcc84Z7WYW1LRp07Bjxw7E43H813/9F5YtW4ZNmzYVullnBN4uHKHq6mooijLoWxNdXV2IxWIFatWZobKyElOnTsWHH35Y6KYUvfS5xPPsk5k0aRKqq6s/tefaTTfdhPXr12Pjxo2or68P6mOxGEzTxLFjx3K2/7SfV8Mdr6EsXLgQAD6V55au65g8eTLmzp2LtWvXYvbs2XjkkUd4Xo0AQ9YI6bqOuXPnYsOGDUGd67rYsGEDFi1aVMCWFb++vj7s3bsXtbW1hW5K0Zs4cSJisVjOedbT04M333yT59kItLW14fDhw5+6c00IgZtuugkvvvgi/vCHP2DixIk56+fOnQtN03LOq127dqGlpeVTeV6d6HgNZceOHQDwqTu3huK6LgzD4Hk1ArxdeBJWrlyJZcuWYd68eViwYAEefvhhJBIJXH/99YVuWlH53ve+h6uuugpNTU1ob2/HmjVroCgKrrnmmkI3rSj09fXlfBret28fduzYgaqqKjQ2NuK2227DD3/4Q0yZMgUTJ07E6tWrUVdXh6VLlxau0QVyvGNVVVWF73//+/jqV7+KWCyGvXv34s4778TkyZOxZMmSArZ69K1YsQLr1q3Df//3f6O8vDwYDxONRlFSUoJoNIrly5dj5cqVqKqqQkVFBW6++WYsWrQIF154YYFbP/pOdLz27t2LdevW4Qtf+ALGjh2Ld955B7fffjs+97nPYdasWQVu/ei66667cMUVV6CxsRG9vb1Yt24dXnvtNbzyyis8r0ai0F9vPNM8+uijorGxUei6LhYsWCDeeOONQjep6Fx99dWitrZW6LouJkyYIK6++mrx4YcfFrpZRWPjxo0CwKBp2bJlQgjv1zisXr1a1NTUiFAoJC699FKxa9euwja6QI53rJLJpLjsssvEuHHjhKZpoqmpSdxwww2is7Oz0M0edUMdIwDi3//934Nt+vv7xT/+4z+KMWPGiEgkIr785S+Ljo6OwjW6gE50vFpaWsTnPvc5UVVVJUKhkJg8ebK44447RDweL2zDC+Dv//7vRVNTk9B1XYwbN05ceuml4ne/+12wnufV8UlCCDGaoY6IiIjo04BjsoiIiIjygCGLiIiIKA8YsoiIiIjygCGLiIiIKA8YsoiIiIjygCGLiIiIKA8YsoiIiIjygCGLiM46l1xyCW677bZCN2NI+/fvhyRJwZ9pIaKzF0MWERERUR4wZBERATBNs9BNIKKzDEMWEZ2SSy65BLfccgvuvPNOVFVVIRaL4f777wcw9K2xY8eOQZIkvPbaawCA1157DZIk4ZVXXsFnPvMZlJSU4POf/zy6u7vxm9/8BjNmzEBFRQW+8Y1vIJlMjrhdtm3jpptuQjQaRXV1NVavXo3svyLW3NyMH/zgB7juuutQUVGBb33rWwCAVatWYerUqYhEIpg0aRJWr14Ny7KCx91///2YM2cO/vM//xPNzc2IRqP4+te/jt7e3mAb13Xx4IMPYvLkyQiFQmhsbMS//Mu/5LTvo48+wt/8zd8gEolg9uzZ2Lx5c7DuwIEDuOqqqzBmzBiUlpbivPPOw8svvzzifSei4sCQRUSn7D/+4z9QWlqKN998Ew8++CD++Z//Ga+++upJPcf999+Pxx57DK+//jpaW1vxta99DQ8//DDWrVuHX//61/jd736HRx999KTapKoqtmzZgkceeQQ/+clP8PTTT+ds86//+q+YPXs2tm/fjtWrVwMAysvL8cwzz+D999/HI488gqeeegr/9m//lvO4vXv34qWXXsL69euxfv16bNq0CQ888ECw/q677sIDDzyA1atX4/3338e6detQU1OT8xz33HMPvve972HHjh2YOnUqrrnmGti2DQBYsWIFDMPAH//4R+zcuRM/+tGPUFZWdlLHk4iKQIH/QDURneEuvvhi8Vd/9Vc5dfPnzxerVq0S+/btEwDE9u3bg3VHjx4VAMTGjRuFEEJs3LhRABC///3vg23Wrl0rAIi9e/cGdd/+9rfFkiVLRtymGTNmCNd1g7pVq1aJGTNmBMtNTU1i6dKlJ3yuH//4x2Lu3LnB8po1a0QkEhE9PT1B3R133CEWLlwohBCip6dHhEIh8dRTTw35fOlj8vTTTwd17733ngAgPvjgAyGEEDNnzhT333//iPaViIoXe7KI6JTNmjUrZ7m2thbd3d2f+DlqamqC23XZdSfznBdeeCEkSQqWFy1ahD179sBxnKBu3rx5gx733HPP4aKLLkIsFkNZWRnuvfdetLS05GzT3NyM8vLyYDl7fz/44AMYhoFLL730uO3L3t/a2loACJ7jlltuwQ9/+ENcdNFFWLNmDd55552R7jYRFRGGLCI6ZZqm5SxLkgTXdSHL3o8YkTUWKnt803DPIUnSsM95OpWWluYsb968Gd/85jfxhS98AevXr8f27dtxzz33DBoUf7y2lZSUjOi1B+4vgOA5/uEf/gEfffQRrr32WuzcuRPz5s07qVulRFQcGLKIKG/GjRsHAOjo6AjqRuv3Q7355ps5y2+88QamTJkCRVGGfczrr7+OpqYm3HPPPZg3bx6mTJmCAwcOnNTrTpkyBSUlJdiwYcMnandaQ0MDbrzxRrzwwgv47ne/i6eeeuqUno+IRp9a6AYQ0dmrpKQEF154IR544AFMnDgR3d3duPfee0fltVtaWrBy5Up8+9vfxrZt2/Doo4/ioYceOu5jpkyZgpaWFjz77LOYP38+fv3rX+PFF188qdcNh8NYtWoV7rzzTui6josuuggHDx7Ee++9h+XLl4/oOW677TZcccUVmDp1Ko4ePYqNGzdixowZJ9UOIio8hiwiyquf//znWL58OebOnYtp06bhwQcfxGWXXZb3173uuuvQ39+PBQsWQFEU3HrrrcGvaRjOF7/4Rdx+++246aabYBgGrrzySqxevTr4lRQjtXr1aqiqivvuuw/t7e2ora3FjTfeOOLHO46DFStWoK2tDRUVFbj88ssHfcORiIqfJLIHSxARERHRacExWURERER5wJBFRGeUlpYWlJWVDTsN/HULRESFwtuFRHRGsW0b+/fvH3Z9c3MzVJXDTYmo8BiyiIiIiPKAtwuJiIiI8oAhi4iIiCgPGLKIiIiI8oAhi4iIiCgPGLKIiIiI8oAhi4iIiCgPGLKIiIiI8oAhi4iIiCgP/j/6/gDcwqI5EAAAAABJRU5ErkJggg==", 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", 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", 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\n" }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} } - ], - "source": [ - "# compare execution times as the number of branches increase\n", - "def xtime_vs_branchs(df,subtitle=\"\",other=False):\n", - " # Get unique context_len values\n", - " unique_context_len = df['context_len'].unique()\n", - "\n", - " # Plot for each unique context_len\n", - " column=\"other\" if other else 'mdecode'\n", - " for context_len in unique_context_len:\n", - " subset_df = df[df['context_len'] == context_len]\n", - " plt.plot(subset_df['num_branchs'], subset_df[column], label=f'{context_len}')\n", - "\n", - " plt.xlabel('num_branchs')\n", - " plt.ylabel('Execution time')\n", - " plt.title(f\"{column} Execution time vs number of branches using {subtitle}\")\n", - " plt.legend(title=\"Context Length\")\n", - " plt.show()\n", - "\n", - "xtime_vs_branchs(df_seq,\"Sequential\")\n", - "xtime_vs_branchs(df_seq,\"Sequential\",other=True)\n", - "xtime_vs_branchs(df_mb,\"MiniBatch\",other=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "def sweep_max_branch(max_branch=32):\n", - " for n_branch in [2,4,8,16,32,64,128]:\n", - " for context_len in [500]:\n", - " for gen_len in [2,4,6,8,10]:\n", - " yield context_len,n_branch,gen_len\n", - "\n", - "df_high_branch=compare_mdecode_to(sweep=sweep_max_branch(128),prompt_ids=single_prompt_id)" ] }, { "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], "source": [ - "# compare execution times as the number of branchs increase\n", - "def xtime_vs_gen(df,subtitle=\"\"):\n", - " # Get unique context_len values\n", - " unique_gen_len = df['gen_len'].unique()\n", - "\n", - " # Plot for each unique context_len\n", - " for gen_len in unique_gen_len:\n", - " subset_df = df[df['gen_len'] == gen_len]\n", - " plt.plot(subset_df['num_branchs'], subset_df['mdecode'], label=f'{gen_len}')\n", - "\n", - " plt.xlabel('num_branchs')\n", - " plt.ylabel('Execution time')\n", - " plt.title(f'mdecode Execution time vs num_branchs {subtitle}')\n", - " plt.legend(title=\"Gen Length\")\n", - " plt.show()\n", - "\n", - " for gen_len in unique_gen_len:\n", - " subset_df = df[(df['gen_len'] == gen_len) & (df['speedup'] > 0)]\n", - " plt.plot(subset_df['num_branchs'], subset_df['other'], label=f'{gen_len}')\n", - "\n", - " plt.xlabel('num_branchs')\n", - " plt.ylabel('Execution time')\n", - " plt.title(f'Naive Execution time vs num_branchs {subtitle}')\n", - " plt.legend(title=\"Gen len\")\n", - " plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, + "plot_speedup(df_2,\"num_branchs\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 472 + }, + "id": "ccwAS3q9s5ke", + "outputId": "2cfcfd4e-f338-4978-a126-fcb706b2cc17" + }, + "execution_count": 33, "outputs": [ { + "output_type": "display_data", "data": { - "image/png": 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", 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\n" }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "plot_time(df_3,\"gen_len\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 472 }, + "id": "UaxgQ86ErrX2", + "outputId": "7e24689c-2dd9-4f17-d658-18e5ab51f793" + }, + "execution_count": 34, + "outputs": [ { + "output_type": "display_data", "data": { - "image/png": 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", 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\n" }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} } - ], - "source": [ - "xtime_vs_gen(df_high_branch,\"Sequential\")" ] }, { "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], "source": [ - "def sweep_gen_len():\n", - " for gen in range(1,100,5):\n", - " for context_len in [10,100,500]:\n", - " yield context_len,32,gen\n", - "\n", - "df_gen=compare_mdecode_to(sweep=sweep_gen_len(),prompt_ids=single_prompt_id)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, + "def sweeper_4():\n", + " for num_branchs in [15]:\n", + " for context_len in [500]:\n", + " for num_gen in range(2,200):\n", + " yield context_len,num_branchs,num_gen\n", + "df_4=compare_to(sweep=sweeper_4(),prompt_ids=single_prompt_id,sequential=True,mb=True,runs=2)\n", + "print(df_4)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "Q5KJn8qFu3ZA", + "outputId": "f1cac8f9-0396-4570-8849-fa614fad6b31" + }, + "execution_count": 35, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ - " context_len num_branchs gen_len mdecode other raw_seq_time \\\n", - "0 0 2 2 0.025124 0.053022 0.026511 \n", - "1 0 4 2 0.023646 0.088966 0.022242 \n", - "2 0 8 2 0.024666 0.179674 0.022459 \n", - "3 0 16 2 0.026583 0.343975 0.021498 \n", - "4 0 32 2 0.025557 0.705788 0.022056 \n", - "5 50 8 2 0.023370 0.181284 0.022660 \n", - "6 50 16 2 0.025545 0.365433 0.022840 \n", - "7 50 24 2 0.024716 0.555370 0.023140 \n", - "8 10 32 2 0.024993 0.756340 0.023636 \n", - "9 100 2 2 0.024545 0.047567 0.023783 \n", - "10 100 4 2 0.025821 0.093795 0.023449 \n", - "11 100 6 2 0.025072 0.137632 0.022939 \n", - "12 100 8 2 0.024627 0.186443 0.023305 \n", - "13 100 12 2 0.024968 0.277794 0.023149 \n", - "14 100 14 2 0.025175 0.332451 0.023746 \n", - "15 100 16 2 0.025393 0.381947 0.023872 \n", - "16 100 18 2 0.025500 0.418120 0.023229 \n", - "17 1000 2 2 0.084559 0.168813 0.084407 \n", - "18 1000 16 2 0.090351 1.387554 0.086722 \n", - "19 1000 32 2 0.091299 2.858871 0.089340 \n", + " context_len num_branchs gen_len mdecode seq speedup mb speedup_mb\n", + "0 500 15 2 0.107558 1.634478 15.196223 1.100227 10.229129\n", + "1 500 15 3 0.128795 1.964362 15.251835 1.119925 8.695397\n", + "2 500 15 4 0.150952 2.287237 15.152088 1.139599 7.549419\n", + "3 500 15 5 0.173354 2.603815 15.020259 1.159129 6.686505\n", + "4 500 15 6 0.196039 2.886530 14.724271 1.178650 6.012325\n", + ".. ... ... ... ... ... ... ... ...\n", + "193 500 15 195 9.776065 56.394053 5.768584 4.931932 0.504491\n", + "194 500 15 196 9.854712 56.713328 5.754946 4.951518 0.502452\n", + "195 500 15 197 9.934045 57.031710 5.741036 4.971063 0.500407\n", + "196 500 15 198 10.012801 57.323170 5.724988 4.990612 0.498423\n", + "197 500 15 199 10.093795 57.601150 5.706590 5.010295 0.496374\n", "\n", - " speedup \n", - "0 2.110443 \n", - "1 3.762409 \n", - "2 7.284193 \n", - "3 12.939452 \n", - "4 27.615915 \n", - "5 7.757272 \n", - "6 14.305517 \n", - "7 22.469947 \n", - "8 30.262144 \n", - "9 1.937950 \n", - "10 3.632506 \n", - "11 5.489568 \n", - "12 7.570697 \n", - "13 11.125825 \n", - "14 13.205421 \n", - "15 15.041406 \n", - "16 16.397128 \n", - "17 1.996402 \n", - "18 15.357398 \n", - "19 31.313264 \n" + "[198 rows x 8 columns]\n" ] } - ], - "source": [ - "print(df)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "source": [ + "plot_time(df_4,\"gen_len\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 472 + }, + "id": "uXk061_ZvAE1", + "outputId": "b305a7eb-a1f3-475e-f678-538717f7ded6" + }, + "execution_count": 36, "outputs": [ { + "output_type": "display_data", "data": { - "image/png": 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", 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EhqgMtWrVwsiRI9GgQQNcvXoVq1atQkFBAU6ePFnu3CSmunXrVoWP8zo5OcHPz69K3puIyFoxkSEqw6hRo7B7926kpaXB2dkZUVFRePfdd/HYY49V2XvWq1ev1OO8D4uOjkZiYmKVvT8RkTViIkNkIfbv31/qltbDfH190bZt22qMiIjI8jGRISIiIqvFYl8iIiKyWmafEO/GjRuYOXMmtm/fjry8PDRs2BDx8fHaCbyEEJg7dy4+++wzZGZmokOHDli1apXeBZcajQY3b96Ep6dntU7VTURERMYTQiAnJwfBwcFQKMofdzFrInPv3j106NABXbp0wfbt21GzZk0kJyfrrIz63nvv4cMPP8S6detQv359vPHGG+jZsyfOnz8PFxeXSt/j5s2bpRbNIyIiIutw/fp17SzeZTFrjcysWbOwf/9+7N27t8z9QggEBwfj9ddf1071npWVhcDAQKxduxYvvPBCpe+RlZUFHx8fXL9+HV5eXkbHqlKp8Ouvv6JHjx5wdHQ0uh1Lxj7aDnvoJ/toG9hH2yF3P7OzsxESEoLMzEx4e3uXe5xZR2S2bt2Knj174rnnnkNSUhJq166NV199FWPHjgUApKSkIC0tTWcVVW9vb0RGRuLgwYNlJjIFBQU6i9Pl5OQAKF5vxNXV1ehYHRwc4ObmBldXV5v9RWQfbYc99JN9tA3so+2Qu58qlQpA5Su4m3VEpuTWUGxsLJ577jkcPXoUkydPxurVqzFixAgcOHAAHTp0wM2bN1GrVi3tec8//zwkScJ3331Xqs158+Zh/vz5pbavX79euwosERERWba8vDwMGTIEWVlZFd5RMWsi4+TkhMcffxwHDhzQbnvttddw9OhRHDx40KhE5tERmZKhqdu3b5t8a2nnzp3o3r27zWbU7KPtsId+so+2gX20HXL3Mzs7G/7+/pUmMma9tVSrVi2Eh4frbGvWrBk2b94MAAgKCgIApKen6yQy6enpaN26dZltOjs7w9nZudR2R0dHWT5YudqxZOyj7bCHfrKPtoF9tB1yft/qw6yJTIcOHXDx4kWdbX/99RdCQ0MBAPXr10dQUBB27dqlTVyys7Nx+PBhjB8/XtZY1Gq19n5cWVQqFRwcHJCfn1/hejjWzBr76OjoCKVSae4wiIjITMyayEydOhXt27fHu+++i+effx5HjhzBp59+ik8//RRAcYHPlClT8Pbbb6NRo0bax6+Dg4PRv39/WWIQQiAtLQ2ZmZmVHhcUFITr16/b7Hw01tpHHx8fBAUFWVXMREQkD7MmMk888QS2bNmC2bNnY8GCBahfvz6WL1+OoUOHao+ZMWMG7t+/j3HjxiEzMxNPPfUUduzYodccMvooSWICAgLg5uZW7pehRqNBbm4uPDw8KpyYx5pZWx+FEMjLy0NGRgYA6Nx+JCIi+2D2mX379u2Lvn37lrtfkiQsWLAACxYskP291Wq1NompUaNGhcdqNBoUFhbCxcXFKr7kjWGNfSx5pD4jIwMBAQG8zUREZGes49uqipTUxPCxbOtWcv0qqnEiIiLbZNeJTAnWVlg3Xj8iIvtl9ltLREREZIU0auDqASA3HfAIBIKfMEsYTGRsROfOndG6dWssX77c3KEQEZEt06iBPe8Dh1cBD+5pNzt4BqOW/0AAfao1HCYyREREpJ/zW4EfX9NJYLRyUvFEzkdQX2gLtHy22kJijQwRERFV7lwCsGFY2UkMAAnFKx4pd/6/4lGbasJExoYUFRVh4sSJ8Pb2hr+/P9544w0IIbBgwQK0aNGi1PGtW7fGG2+8YYZIiYjIqpxNADaNqvQwCYCUfaO4dqaaMJGxIevWrYODgwOOHDmCDz74AEuXLsXnn3+O0aNH488//8TRo0e1x548eRKnT5/GqFGV/2ISEZGd0qiBxEXAphGA0Oh/Xm561cX0CNbI2JCQkBAsW7YMkiShSZMmOHPmDJYtW4axY8eiZ8+eiI+PxxNPFFeVx8fHIzo6Gg0aNDBz1EREZJHObwW2zwByUg0/1yNQ/njKwREZG/Lkk0/qzKkSFRWF5ORkqNVqjB07Ft988w3y8/NRWFiI9evXY/To0WaMloiILFZJPYyBSYwAILxqA6HtqySssnBExk7069cPzs7O2LJlC5ycnKBSqTBo0CBzh0VERJbmbAKw2fCyA/HPf9Xd34GDovqWi2EiY0MOHz6s8/rQoUNo1KiRdv2hESNGID4+Hk5OTnjhhRe06xQREREBKB6J2TTCuHNd/XA0aCjaNC1//cSqwETGhly7dg2xsbH497//jRMnTuCjjz7CkiVLtPtffvllNGvWDACwf/9+c4VJRESWRqMGkt4DkhYZcbIERM9EUfupSN3xC9rIHlzFmMjYkOHDh+PBgwdo164dlEolJk+ejHHjxmn3N2rUCO3bt8fdu3cRGRlpxkiJiMhiVDTJnT4GrQVa9AfMtHAvExkbkZiYqP151apVZR4jhMDNmzfx6quvVlNURERksUqWGkh817jzvWoDveKA8H/JG5eBmMjYiVu3buHbb79FWloa544hIrJ3pjxaDQCd5wCdpgHVWNRbHiYydiIgIAD+/v749NNP4evra+5wiIjIXM4lABuNLOiVlMCgL4Dm/eWMyCRMZOyEEKLyg4iIyHaZVND7j4GWlcQATGSIiIhsn6kFvRY4ElOCiQwREZGtMrWgt4QFjsSUYCJDRERka0oSmEMrgfxM49tx9QP6fWD2J5MqwkSGiIjIlph6GwkAXH2ByPEW82RSRZjIEBER2QpTnkgqYUGPVuuDiQwREZEtMHKxRy0LLuitiMLcAZD5JCYmQpIkZGZmmjWOzp07Y8qUKWaNgYjIqpUs9ig0xrdhwQW9FeGIjAzUGoEjKXeRkZOPAE8XtKvvB6VCMndYRERkD0wdibGCgt6KMJEx0Y6zqZj/43mkZuVrt9XydsHcfuHo1aKWGSMjIiKbZuqj1VZU0FsR3loywY6zqRj/9QmdJAYA0rLyMf7rE9hx1sg1LPTQuXNnTJo0CVOmTIGvry8CAwPx2Wef4f79+xg1ahQ8PT3RsGFDbN++XXvOtm3b0LhxY7i6uqJLly64cuVKqXYPHjyI6OhouLq6IiQkBK+99hru37+v3V9QUICZM2ciJCQEzs7OaNiwIdasWaPdn5SUhHbt2sHZ2Rm1atXCrFmzUFRUpN1///59DB8+HB4eHqhVqxaWLFlSKoaCggJMmzYNtWvXhru7OyIjI3UWxSQisnvntwLLmhufxHSeA0y/DHSeadVJDMBERocQAnmFReX+eVCo1v6ck6/C3K3nUNbE/yXb5m09j5x8VYVtlvwxZgmBdevWwd/fH0eOHMGkSZMwfvx4PPfcc2jfvj1OnDiBHj16YNiwYcjLy8P169cxYMAA9OvXD6dOncLLL7+MWbNm6bR3+fJlPPfccxgwYABOnz6N7777Dvv27cPEiRO1xwwfPhzffPMNPvzwQ/z555/45JNP4OHhAQC4ceMG+vTpgyeeeAJ//PEHVq1ahTVr1uDtt9/Wnj99+nQkJSXhhx9+wK+//orExEScOHFCJ46JEyfi4MGD+Pbbb3H69Gk899xz6NWrF5KTkw3+jIiIbM65BGDDMOMWfHT1A57/yiYSmBK8tfSQByo1wt/8RZa2BIC07Hy0nPerXsefX9ATbk6GXY5WrVrhP//5DwBg9uzZiIuLg7+/P8aOHQsAePPNN7Fq1SqcPn0aW7duRVhYmHYEpEmTJjhz5gwWLfrfmhtxcXEYNGgQJk+eDIVCgUaNGuHDDz9EdHQ0Vq1ahWvXrmHDhg3YuXMnYmJiAAANGjTQnr9y5UqEhITg448/hiRJaNq0KW7evImZM2fizTffRF5eHtasWYOvv/4a3bp1A1CcjNWpU0fbxrVr1xAfH49r164hODgYADBt2jTs2LED8fHxePddE2enJCKyViatlSQB0TOB6Bk2k8CUYCJjxSIiIrQ/K5VK1KhRAy1bttRuCwwMBABkZGTgzz//RGRkpM75UVFROq9Pnz6N06dPY9OmTdptQghoNBqkpKTgzJkzUCqViI6OLjOeP//8E1FRUZCk/xU6d+jQAbm5ufjvf/+Le/fuobCwUCcOPz8/NGnSRPv6zJkzUKvVaNy4sU7bBQUFqFGjRqWfCRGRTTJ1krtBa4EW/eWMyGIwkXmIq6MS5xf0LHOfRqNBTnYOPL08oVAocCTlLkbGH620zbWjnkC7+n56vbehHB0ddV5LkqSzrSSh0Gj0exwvNzcXI0eOxOuvvw6FQveuY926dXHp0iWDYzRUbm4ulEoljh8/DqVS9zMpuYVFRGQ3TC3otdK5YQzBROYhkiSVe3tHo9GgyEkJNycHKBQKdGxUE7W8XZCWlV9mnYwEIMjbBR0b1bSIR7GbNWuGrVu36mw7dOiQzus2bdrg4sWLaNiwYalEBgBatmwJjUaDpKQk7a2lR99j8+bNEEJok6j9+/fD09MTderUgZ+fHxwdHXH48GHUrVsXAHDv3j389ddf2lGeNm3aQK1WIyMjAx07dpSl70REVun8VmD7DONqYUpY6dwwhmCxr5GUCglz+4UDKE5aHlbyem6/cItIYgDglVdeQXJyMqZPn46LFy9i/fr1WLt2rc4xM2bM0BYOnzp1CsnJyfjhhx+0xb716tXDiBEjMHr0aCQkJCAlJQWJiYnYsGEDAODVV1/F9evXMWnSJFy4cAE//PAD5s6di9jYWCgUCnh4eGDMmDGYPn06fv/9d5w9exYjR47USZoaN26MoUOHYvjw4fj++++RkpKCI0eOYOHChfj555+r7fMiIjIrUwp6AcCrdnFRr43eTnoYExkT9GpRC6teegxB3i4624O8XbDqpccsah6ZunXrYvPmzUhISECrVq2wevXqUoWzERER+Omnn/DXX3+hY8eOaNOmDd58801t0S0ArFq1CoMGDcKrr76Kpk2bYuzYsdrHs2vXro1t27bhyJEjaNWqFV555RWMGTNGW5AMAIsXL0bHjh3Rr18/xMTE4KmnnkLbtm114oiPj8fw4cPx+uuvo0mTJujfvz+OHj2qHcUhIrJZGjWweyGwcaTxbXSeA0w5Y7UT3BlKEsY892tFsrOz4e3tjaysLHh5eensy8/PR0pKCurXrw8XF5dyWiim0WiQnZ0NLy+vUrddbGVm34r6aMkMuY4qlQrbtm1Dnz59StUY2RJ76Cf7aBvYx4eYWtBr5noYua9lRd/fD2ONjAyUCglRYXyihoiIjCTHqtV2UA9TFiYyRERE5qBRA1cPABd+Ao58anw7Vr5WkqmYyBAREVW381uBHTOB7JvGt2EjayWZiokMERFRdZLjNlLnOXafwJRgIkNERFRdziYAm0cZf74dTHBnKCYyRERE1UD6cyvw/WjTGrHTgt6KMJEhIiKqKho1pKv70Pz611Ce+s34duy8oLciTGSIiIiqwj8FvQ7ZN9HQ6EZsd9VquTCRISIikpscBb2ATa9aLRfrmb6ViIjIGpxNADaZUNAL2NVaSabiiIwcSiY1yk0HPAKB0PYcAiQiskfnEoBNxo7EKIDIcUDTvvweMYBZR2TmzZsHSZJ0/jRt2lS7Pz8/HxMmTECNGjXg4eGBgQMHIj093YwRl+H8VmB5C2BdX2DzmOL/Lm9RvJ2IiOyDHIs9DooHei8C6ndkEmMAs99aat68OVJTU7V/9u3bp903depU/Pjjj9i4cSOSkpJw8+ZNDBgwwIzRPuL8VmDD8NIzM2anFm+vwmRm06ZNaNmyJVxdXVGjRg3ExMRoV6H+/PPP0axZM7i4uKBp06ZYuXKlzrlHjhxBmzZt4OLigscffxxbtmyBJEk4depUlcVLRGSzzm8FFocBSXEAjFiHWVICz63jbSQjmf3WkoODA4KCgkptz8rKwpo1a7B+/Xp07doVABAfH49mzZrh0KFDePLJJ+UPRghAlVf2Po2meF+hElAoirPv7TNQ9i+tACAVTz/doLN+mbWjGyDpt2J2amoqXnzxRbz33nt49tlnkZOTg71790IIgf/7v//Dm2++iY8//hht2rTByZMnMXbsWLi7u2PEiBHIzc1F37590b17d3z99ddISUnB5MmT9XpfIiJ6iEYN7HkfSHzXtHY4N4xJzJ7IJCcnIzg4GC4uLoiKisLChQtRt25dHD9+HCqVCjExMdpjmzZtirp16+LgwYPlJjIFBQUoKCjQvs7OzgZQvLy4SqXSOValUkEIAY1GA41GAxTehyKuTpntKgD4GNQzUTxSExei19GaWf8FnNz1OvbGjRsoKipC//79UbduXQDFI1sAMHfuXCxevBj9+/cHAISGhuLcuXP45JNPMGzYMHz99dfQaDT47LPP4OLigmbNmuHatWuYMGEChChOyko+E2uh0WgghIBKpYJSWXHSWPI78Ojvgq2xh36yj7bBWvsoXfgJyl9mQ8pNNboN4VUb6u7vQDR5GrCy/pdF7mupbztmTWQiIyOxdu1aNGnSBKmpqZg/fz46duyIs2fPIi0tDU5OTvDx8dE5JzAwEGlpaeW2uXDhQsyfP7/U9l9//RVubm4620pGg3Jzc1FYWAio8gxMVuSTnZMDOKr1OrZ+/fqIjo5Gq1at0LVrV3Tp0gXPPPMMHB0dcfnyZYwdOxb//ve/tccXFRXBy8sL2dnZOH36NMLDw1FYWFjcZwAtW7YEAOTlFY9G5eTkyNy7qlVYWIgHDx5gz549KCoq0uucnTt3VnFUlsEe+sk+2gZr6mOte0fwxJWPjTpXA+Bv/x5I82mLOx5NgL8VwN/b5A3QzOS6liXfSZUxayLTu3dv7c8RERGIjIxEaGgoNmzYAFdXV6PanD17NmJjY7Wvs7OzERISgh49esDLy0vn2Pz8fFy/fh0eHh5wcXEBhGfxyEgZhBDIyc2Fp4cHJEkCrh6A4pvnK41H8+KG4urzSngZcGsJAHbt2oUDBw5g586dWLNmDd555x388MMPAIBPPvkEkZGROscrlUp4eXnByckJDg4OOp+Fh4cHAGgTPU9Pz+I+Won8/Hy4urqiU6dOxdexAiqVCjt37kT37t3h6OhYTRFWP3voJ/toG6yqjxo1FPveh+LkChjzL6QAoBnwBUKb/QuhcsdmAeS+liV3VCpj9ltLD/Px8UHjxo1x6dIldO/eHYWFhcjMzNQZlUlPTy+zpqaEs7MznJ2dS213dHQs9cGq1WpIkgSFQgGF4p+6Z6Vnme1qNBqgQAPJ2aP42EYxgFdwcWFvmXUyEuAVDEWjmCqrPu/YsSM6duyIuXPnIjQ0FAcPHkRwcDCuXLmCYcOGlXlOeHg4vv76axQWFmq/9I8cOVIc8T/JS8lnYi0UCgUkSSrzGpfHkGOtmT30k320DRbfx/NbgR9fAx7cM+p0DSRoBqyBQ8RAmQOzPHJdS33bsKhvq9zcXFy+fBm1atVC27Zt4ejoiF27dmn3X7x4EdeuXUNUVJQZo/yHQgn0WvTPi0dz839e94qrkiTm8OHDePfdd3Hs2DFcu3YN33//PW7duoVmzZph/vz5WLhwIT788EP89ddfOHPmDOLj47F06VIAwJAhQyBJEsaOHYvz589j27ZteP/992WPkYjIJmjUQOIiYMMwo5MYAeBYvVchmnGdpKpg1hGZadOmoV+/fggNDcXNmzcxd+5cKJVKvPjii/D29saYMWMQGxsLPz8/eHl5YdKkSYiKiqqaJ5aMEf4v4Pkvi59OevgRbK/g4iSmihb38vLywp49e7B8+XJkZ2cjNDQUS5Ys0d6qc3Nzw+LFizF9+nS4u7ujZcuWmDJlCoDi20g//vgjXnnlFbRp0wbh4eFYtGgRBg60/f+XQERkkPNbi59OzTG+oBeuflD3WYrUvxVoI19k9BCzJjL//e9/8eKLL+LOnTuoWbMmnnrqKRw6dAg1a9YEACxbtgwKhQIDBw5EQUEBevbsWWpOFLML/xfQ9Olqndm3WbNm2LFjR7n7hwwZgiFDhpS7/8knn9SZM+bKlSsyRkdEZANMXSvJ1ReIHA90mgah1thcQa8lMWsi8+2331a438XFBStWrMCKFSuqKSIjKZTFMzESEZH1O5sAbDZhraTOc4BO0/73f2jV1jOdhTWyqGJfIiIiszJlrSRJCQzi5HbVjYkMoV69etpJ8PR93I2IyKZo1EDSe0DSosqPLQ9n6DULJjJERGTfTHy0Gq5+QL8PquwBD6oYExkiIrJPpq6V9FBBL1erNh8mMkREZF9KEphDK4H8TOPaeLSgl8yGiQwREdkPU28jsaDX4jCRISIi+2Dq3DAAC3otkEUtUUBERFQlziYAm0yYG0ZSAs+tA1r0lysikgkTGRmoNWocTTuKbX9vw9G0o1Br1OYOqZTExERIkoTMzExzh0JEVH1K1kraNAIQJkxMx5EYi8VbSyb67epviDsSh/S8dO22QLdAzGo3CzGhMWaMjIjIjslR0Avw0WorwETGBL9d/Q2xibEQEDrbM/IyEJsYi6WdlzKZISKqbqYW9AJ8tNqK8NbSQ4QQyFPllfvnQdED7c85BTlYeGRhqSQGAMQ//4s7EoecgpwK2yz5I0TpdirSuXNnTJo0CVOmTIGvry8CAwPx2Wef4f79+xg1ahQ8PT3RsGFDbN++Xee8/fv3IyIiAi4uLnjyySdx9uxZkz4zIiKLci4B2DDMtCSm8xxg+mWg80wmMVaAIzIPeVD0AJHrI2VrLz0vHe2/ba/XsYeHHIabo5tB7a9btw4zZszAkSNH8N1332H8+PHYsmULnn32WcyZMwfLli3DsGHDcO3aNe0506dPxwcffICgoCDMmTMH/fr1w19//QVHR0eD3puIyOKYutgjbyNZJY7IWLFWrVrhP//5Dxo1aoTZs2fDxcUF/v7+GDt2LBo1aoQ333wTd+7cwenTp7XnzJ07F927d0fLli2xbt06pKenY8uWLWbsBRGRDEoWezSqoFcComcB0y8xibFCHJF5iKuDKw4POVzmPo1Gg5ycHHh6ekKhUOB4+nG8uuvVSttc2W0l2ga21eu9DRUREaH9WalUokaNGmjZsqV2W2BgIAAgIyMDXl5eAICoqCjtfj8/PzRp0gR//vmnwe9NRGQxTB2JGbSWj1VbMSYyD5EkqdzbOxqNBkUORXBzdINCoUD74PYIdAtERl5GmXUyEiQEugWifXB7KKvoHuujt4MkSdLZJkmSNnYiIptj6lpJXrWBXnEchbFyvLVkJKVCiVntZgEoTloeVvJ6ZruZVZbEGOvQoUPan+/du4e//voLzZo1M2NERERGOL8VWNbc+CSm8xxgyhkmMTaAiYwJYkJjsLTzUgS4BehsD3QLtNhHrxcsWIBdu3bh7NmzGDlyJPz9/dG/f39zh0VEpL+SJ5NyUg0/19UPeP4rPpFkQ3hryUQxoTHoEtIFJzJO4FbeLdR0q4nHAh6zuJGYEnFxcZg8eTKSk5PRunVr/Pjjj3BycjJ3WEREldOogaT3gKRFRpwsAdEzgegZTGBsDBMZGSgVSjwR9ES1vmdiYmKpbVeuXCm17eH5aUp+7tu3b1WFRURUNUyd5I4FvTaLiQwREVkuUwt6JSUwiOsk2TImMkREZJnObwW2zzCuFqYEF3u0eUxkiIjI8pxLADaOMP58PlptN5jIEBGR5TCpoPcfnedwsUc7wkQGMHjBRrIsvH5ENsLUgl7Ww9glu55HpmQW3Ly8PDNHQqYouX5c+JLISgkNFHsXm75qNeth7JJdj8golUr4+PggIyMDAODm5qad1v9RGo0GhYWFyM/Ph0Jhm/mftfVRCIG8vDxkZGTAx8cHSiWHkYmsjXThJ/Q4OxXKIhMSGK5abdfsOpEBgKCgIADQJjPlEULgwYMHcHV1LTfZsXbW2kcfHx/tdSQiK3IuAcrNI2H0/wVx9QUix7Mexs7ZfSIjSRJq1aqFgIAAqFSqco9TqVTYs2cPOnXqZLO3MKyxj46OjhyJIbI2DxX0Gv1/mVjQS/+w+0SmhFKprPALUalUoqioCC4uLlbzJW8oe+gjEZkZC3pJZkxkiIioepg6NwzAgl4qxfIrOomIyPqdTQA2jTL+/JJVq7leEj2CIzJERFR1TF0riQW9VAkmMkREJL+SBObQSiA/07g2WNBLemAiQ0RE8mJBL1UjJjJERCQfFvRSNWOxLxERyYMFvWQGHJEhIiLTmFjQqwEgOs6Assss1sOQwZjIEBGRcWQo6BUAjtWbgDadZkDJJIaMwESGiIgMZ2pBLwB41Ya6+ztI/VuBNvJFRnaGiQwRERlGjoLefx6tFmoN8Pc2WcIi+8REhoiI9Hc2AdhsYkFvvw+A8H8Vv1ZrZAmL7BcTGSIi0s+5BGCTsSMxEhA9E4iewYJekhUTGSIiKp9GDVw9AFz4CTjyqfHtDFrLx6qpSjCRISKisp3fCuyYCWTfNL4Nr9pAr7j/3UoikhkTGSIiKk3Ggl7eSqKqxESGiIj+R6MGkt4DkhYZ38ajBb1EVchiliiIi4uDJEmYMmWKdlt+fj4mTJiAGjVqwMPDAwMHDkR6err5giQismXntwKLw4CkOBRPVWcoCYieBUy/xCSGqo1FJDJHjx7FJ598goiICJ3tU6dOxY8//oiNGzciKSkJN2/exIABA8wUJRGRjdKogcRFwIZhpk1wN2gt0GU2byVRtTJ7IpObm4uhQ4fis88+g6+vr3Z7VlYW1qxZg6VLl6Jr165o27Yt4uPjceDAARw6dMiMERMR2ZDzW4FlzY1eJwkAICmB59bxqSQyC7MnMhMmTMDTTz+NmJgYne3Hjx+HSqXS2d60aVPUrVsXBw8erO4wiYhsz7mE4lGYnFTT2hn4BdC8vxwRERnMrMW+3377LU6cOIGjR4+W2peWlgYnJyf4+PjobA8MDERaWlq5bRYUFKCgoED7Ojs7GwCgUqmgUqmMjrXkXFPasHTso+2wh36yjybQqKHY9z4Ue9+HZEIz4p+1kkSTpwEjY+R1tB1y91PfdsyWyFy/fh2TJ0/Gzp074eLiIlu7CxcuxPz580tt//XXX+Hm5mZy+zt37jS5DUvHPtoOe+gn+2iYWplH0epaPBzVuUadrwHwt38PpPm0xR2PJsDfClnWSuJ1tB1y9TMvL0+v4yQhhDGl6SZLSEjAs88+C6Xyf0VharUakiRBoVDgl19+QUxMDO7du6czKhMaGoopU6Zg6tSpZbZb1ohMSEgIbt++DS8vL6PjValU2LlzJ7p37w5HR0ej27Fk7KPtsId+so+Gk/7cCuX3o4t/NvDcki8K9YAvIJrJ90QSr6PtkLuf2dnZ8Pf3R1ZWVoXf32YbkenWrRvOnDmjs23UqFFo2rQpZs6ciZCQEDg6OmLXrl0YOHAgAODixYu4du0aoqKiym3X2dkZzs7OpbY7OjrK8sHK1Y4lYx9thz30k33U09kEYMvLRp8u/TM3jEMVPVbN62g75Py+1YfZEhlPT0+0aNFCZ5u7uztq1Kih3T5mzBjExsbCz88PXl5emDRpEqKiovDkk0+aI2QiIuujUQN73jf+qSRXXyByPGfoJYtl0TP7Llu2DAqFAgMHDkRBQQF69uyJlStXmjssIiLLV5LAHFoJ5Gca1waXGCArYFGJTGJios5rFxcXrFixAitWrDBPQERE1uj8VuDH14yf3E5SAoP4SDVZB4tKZIiIyERyLPbIeWHIiph9QjwiIpLJ2QRg0yjjz3f1A57/ijP0klXhiAwRkbUztaAXEhA9E4iewXoYsjpMZIiIrJUcBb1A8WKPHIUhK8VEhojIGpla0AsAXrWBXnFAFc0NQ1QdmMgQEVkbOQp6+Wg12QgmMkRE1uRsArDZxILefh9wFIZshlFPLe3duxcvvfQSoqKicOPGDQDAV199hX379skaHBERPeRcArBpBCA0RpwsAdGzgOmXmMSQTTE4kdm8eTN69uwJV1dXnDx5UrtAY1ZWFt5919iKeSIiKpPQQLq6D9g+07RHqwetBbrM5q0ksjkGJzJvv/02Vq9ejc8++0xnQacOHTrgxIkTsgZHRGTPpAs/oce5WDh83R84vNq4kRiv2pwbhmyawTUyFy9eRKdOnUpt9/b2RmZmphwxERHRuQQoN4+ESeMnLOglO2DwiExQUBAuXbpUavu+ffvQoEEDWYIiIrJbGjWweyGwcSQkAJIxbZTM0Nt5JpMYsnkGj8iMHTsWkydPxhdffAFJknDz5k0cPHgQ06ZNwxtvvFEVMRIR2QeT54bhDL1kfwxOZGbNmgWNRoNu3bohLy8PnTp1grOzM6ZNm4ZJkyZVRYxERLbN5CUG/sEZeskOGZzISJKE//f//h+mT5+OS5cuITc3F+Hh4fDw8KiK+IiIbNv5rcD2GUBOqvFtSEpgEFesJvtk9IR4Tk5OCA8PlzMWIiL7IscMvQAwkEkM2S+DE5n8/Hx89NFH2L17NzIyMqDR6D4OyEewiYgqoVEDSe8BSYtMa4drJREZnsiMGTMGv/76KwYNGoR27dpBkoyqqScisk8mF/QqgMhxQNO+QGh7FvWS3TM4kfnpp5+wbds2dOjQoSriISKyXXLcShoUz4JeoocYPI9M7dq14enpWRWxEBHZrrMJpi0xUDI3DJMYIh0GJzJLlizBzJkzcfXq1aqIh4jItmjUQOIioxd7LFC6Q91pJhd7JCqHwbeWHn/8ceTn56NBgwZwc3PTWW8JAO7evStbcEREVqtkbphDK4H8TKOaUHeaiR3ZzdCnY18oWQtDVCaDE5kXX3wRN27cwLvvvovAwEAW+xIRPcrUgt5/5oXRNH4a2LZN3tiIbIzBicyBAwdw8OBBtGrVqiriISKybnIU9JbMC6NSyRERkU0zuEamadOmePDgQVXEQkRk3VjQS1TtDE5k4uLi8PrrryMxMRF37txBdna2zh8iIrtjYkFv8WKPs1jQS2QEg28t9erVCwDQrVs3ne1CCEiSBLVaLU9kRETWQI61krjYI5HRDE5kdu/eXRVxEBFZH1PrYbjEAJHJDE5koqOjqyIOIiLrIcdaSZ3nAJ2mcYkBIhPplcicPn0aLVq0gEKhwOnTpys8NiIiQpbAiIgskqmPVrv6Af0+4CgMkUz0SmRat26NtLQ0BAQEoHXr1pAkCUKIUsexRoaIbJpJt5IkIHomED2DozBEMtIrkUlJSUHNmjW1PxMR2Z2zCcBmEx6tZkEvUZXQK5EJDQ2FUqlEamoqQkNDqzomIiLLUbLUQOK7xp3Pgl6iKqV3sW9Zt5KIiGyWDGslsaCXqOoZ/NQSEZHNk2mtJDTvL2tYRFSaQYnM559/Dg8PjwqPee2110wKiIjIrORcK4mIqpxBiczq1auhVJY/RCpJEhMZIrJephb08tFqompnUCJz7NgxBAQEVFUsRETmYWpBLx+tJjIbvRMZSZKqMg4iouonR0EvwEericyITy0RkX0ytaAX4KPVRBZA70Rm7ty5lRb6EhFZBTkKevloNZFFMCiRISKyWho1cPUAcOEn4MinxrfDgl4ii8J5ZIjI9p3fCuyYCWTfNKERFvQSWSImMkRk2+S4jQSwoJfIQinMHQARUZU5mwBsMmFeGKC4oPf5r5jEEFkojsgQkW06lwBsYkEvka0zeEQmPT0dw4YNQ3BwMBwcHKBUKnX+EBGZnakjMa5+xaMwnWcyiSGycAaPyIwcORLXrl3DG2+8gVq1anGiPCKyLCaNxLCgl8jaGJzI7Nu3D3v37kXr1q1NfvNVq1Zh1apVuHLlCgCgefPmePPNN9G7d28AQH5+Pl5//XV8++23KCgoQM+ePbFy5UoEBgaa/N5EZINMXSuJBb1EVsfgW0shISGyzfJbp04dxMXF4fjx4zh27Bi6du2KZ555BufOnQMATJ06FT/++CM2btyIpKQk3Lx5EwMGDJDlvYnIhmjUQOKi4pEYoTH8fBb0Elktg0dkli9fjlmzZuGTTz5BvXr1THrzfv366bx+5513sGrVKhw6dAh16tTBmjVrsH79enTt2hUAEB8fj2bNmuHQoUN48sknTXpvIrIN0oWfgF9nAzmpBp6pACLHAU37AqHteSuJyEoZnMgMHjwYeXl5CAsLg5ubGxwdHXX2371716hA1Go1Nm7ciPv37yMqKgrHjx+HSqVCTEyM9pimTZuibt26OHjwYLmJTEFBAQoKCrSvs7OzAQAqlQoqlcqo2ErOf/i/toh9tB320E+VSoVa945AufljCACGVOsJAOoBn0M0+2d2XrWm+I+FsZfr+PB/bZE99BGQv5/6tmPUiIyczpw5g6ioKOTn58PDwwNbtmxBeHg4Tp06BScnJ/j4+OgcHxgYiLS0tHLbW7hwIebPn19q+6+//go3NzeT4925c6fJbVg69tF22Gw/hQaNU3/AE+kJBiUwAKCBhGP1JiA1xQFI2VYl4cnNZq/jQ9hH2yFXP/Py8vQ6ThJmXta6sLAQ165dQ1ZWFjZt2oTPP/8cSUlJOHXqFEaNGqUzugIA7dq1Q5cuXbBo0aIy2ytrRCYkJAS3b9+Gl5eX0XGqVCrs3LkT3bt3LzUKZSvYR9thy/2ULvwE5c9TIeUbvmp18UjMF/8bibFwtnwdS7CPtkPufmZnZ8Pf3x9ZWVkVfn8bNSGeWq1GQkIC/vzzTwDFTxv961//MmoeGScnJzRs2BAA0LZtWxw9ehQffPABBg8ejMLCQmRmZuqMyqSnpyMoKKjc9pydneHs7Fxqu6OjoywfrFztWDL20XbYVD81amDP+0Diu8adLykhDfoCDs37yxpWdbCp61gO9tF2yPl9qw+DE5lLly6hT58+uHHjBpo0aQKg+HZOSEgIfv75Z4SFhRnapA6NRoOCggK0bdsWjo6O2LVrFwYOHAgAuHjxIq5du4aoqCiT3oOIrMz5rcD2GUYU9D5k4BeAFSYxRFQxgxOZ1157DWFhYTh06BD8/PwAAHfu3MFLL72E1157DT///LPebc2ePRu9e/dG3bp1kZOTg/Xr1yMxMRG//PILvL29MWbMGMTGxsLPzw9eXl6YNGkSoqKi+MQSkT0xddFHr9pArzgg3DpuJxGRYQxOZJKSknSSGACoUaMG4uLi0KFDB4PaysjIwPDhw5Gamgpvb29ERETgl19+Qffu3QEAy5Ytg0KhwMCBA3UmxCMiO6BRA0nvAUll18PphWslEdk8gxMZZ2dn5OTklNqem5sLJycng9pas2ZNhftdXFywYsUKrFixwqB2icjKnd8K/Pga8MDwgl4AgKQEBvFWEpE9MHhm3759+2LcuHE4fPgwhBAQQuDQoUN45ZVX8K9/ceiWiEx0LgHYMMz4JAZgPQyRHTE4kfnwww8RFhaGqKgouLi4wMXFBR06dEDDhg3xwQcfVEWMRGTrNGogZS+wfaY8q1ZzqQEiu2HwrSUfHx/88MMPSE5OxoULFwAAzZo10z5CTURkkPNbgR0zgeybxrfh6gtEjmc9DJEdMmoeGQBo1KgRGjVqJGcsRGRvTHwiSQDQdJoJZeeZTGCI7JReiUxsbCzeeustuLu7IzY2tsJjly5dKktgRGTjziYAm42/jSQkJY6GjkebjtOhZBJDZLf0SmROnjypXbzp5MmTVRoQEdmBcwnAJhPmhgGgfvYzpKY4oI08ERGRldIrkdm9e3eZPxMR6U2jBq4eAC78BBz51Ph2XP2Afh9ANOptNYs+ElHVMfippdGjR5c5j8z9+/cxevRoWYIiIhtzfiuwvAWwri9weDUgNEY0IgHRs4DplzhLLxFpGZzIrFu3Dg8ePCi1/cGDB/jyyy9lCYqIbEjJvDCmPJUEAIPWAl1ms6iXiHTo/dRSdna2dgK8nJwcuLi4aPep1Wps27YNAQEBVRIkEVkhOZYYALhWEhFVSO9ExsfHB5IkQZIkNG7cuNR+SZIwf/58WYMjIitl6hIDUACR44CmfYHQ9hyFIaJy6Z3I7N69G0IIdO3aFZs3b9ZZNNLJyQmhoaEIDg6ukiCJyIqYulo1AAyK5+y8RKQXvROZ6OhoAEBKSgrq1q0LSZKqLCgislImzg3DxR6JyFAGz+x79epVXL16tdz9nTp1MikgIrJCGjWw530g8V3T2uFij0RkIIMTmc6dO5fa9vDojFqtNikgIrIiJQnMoZVAfqbx7bCgl4iMZHAic++ebvGeSqXCyZMn8cYbb+Cdd96RLTAisnAs6CUiC2BwIuPt7V1qW/fu3eHk5ITY2FgcP35clsCIyIKxoJeILITBE+KVJzAwEBcvXpSrOSKyVGcTgE0mFPS6+gHPf8UkhohkYfCIzOnTp3VeCyGQmpqKuLg4tG7dWq64iMjSmFzQKwHRM4HoGbyNRESyMTiRad26NSRJghBCZ/uTTz6JL774QrbAiMhCyFXQO2gtR2GISHYGJzIpKSk6rxUKBWrWrKmzZAER2QiTC3rBJ5KIqEoZnMiEhoZWRRxEZGnkKOjtPAfoNI23koioyhhc7Pvaa6/hww8/LLX9448/xpQpU+SIiYjMTa6C3s4zmcQQUZUyOJHZvHkzOnToUGp7+/btsWnTJlmCIiIzOpcAbBoBCI0RJ0tA9Cxg+iXeSiKiamHwraU7d+6UOZeMl5cXbt++LUtQRFTNNGrg6gHgwk/AkU+Nb4cFvURUzQwekWnYsCF27NhRavv27dvRoEEDWYIiomp0fiuwvAWwri9weLVxIzFetTk3DBGZhcEjMrGxsZg4cSJu3bqFrl27AgB27dqFJUuWYPny5XLHR0RViQW9RGTlDE5kRo8ejYKCArzzzjt46623AAD16tXDqlWrMHz4cNkDJKIqoFEDSe8BSYuMb8PVD+j3AWthiMisDE5kAGD8+PEYP348bt26BVdXV3h4eMgdFxFVFZPnhuEMvURkOYxaa6moqAi//fYbvv/+e+0Mvzdv3kRubq6swRGRjDRqIHERsGGYaRPcDVoLdJnNJIaILILBIzJXr15Fr169cO3aNRQUFKB79+7w9PTEokWLUFBQgNWrV1dFnERkivNbge0zgJxU49uQlMCgL4Dm/WULi4jIVAaPyEyePBmPP/447t27B1dXV+32Z599Frt27ZI1OCKSwbmE4lEYU5IYABjIJIaILI/BIzJ79+7FgQMH4OTkpLO9Xr16uHHjhmyBEZGJhAaKPYuAve+b1g7XSiIiC2ZwIqPRaKBWq0tt/+9//wtPT09ZgiIi00gXfkKvMxOhVBtbt6YAIscBTfsCoe1ZD0NEFsvgW0s9evTQmS9GkiTk5uZi7ty56NOnj5yxEZExziVAuXkknIxOYgAMigd6LwLqd2QSQ0QWzeARmSVLlqBnz54IDw9Hfn4+hgwZguTkZPj7++Obb76pihiJqDKPLDEgGdsO54YhIitjcCJTp04d/PHHH/juu+/wxx9/IDc3F2PGjMHQoUN1in+JqJqc3wrsmAlk3zS+DVdfIHI8Z+glIqtjcCJz69Yt1KxZE0OHDsXQoUN19p05cwYtW7aULTgiqgSXGCAiO2dwjUzLli3x888/l9r+/vvvo127drIERUR6OJsAbBpl/PmSEnhuHdB5JpMYIrJaBicysbGxGDhwIMaPH48HDx7gxo0b6NatG9577z2sX7++KmIkokedSwA2jTBupeoSnBeGiGyAwbeWZsyYge7du2PYsGGIiIjA3bt3ERkZidOnTyMoKKgqYiQioFRBr9FY0EtENsSoRSMbNmyIFi1aYPPmzQCAwYMHM4khqkpyFPRysUciskEG31rav38/IiIikJycjNOnT2PVqlWYNGkSBg8ejHv3TFiIjojKVrLEgElJDLjYIxHZJIMTma5du2Lw4ME4dOgQmjVrhpdffhknT57EtWvX+MQSkdxMLegFipcYeP4roEV/OSIiIrIoBt9a+vXXXxEdHa2zLSwsDPv378c777wjW2BEdq+koNcIAgpc9o9BvV6vwqFBJ47CEJHNMjiReTSJKaFQKPDGG2+YHBCR3dOogaT3gKRFRjehHvA5zqU4IDT0KSYxRGTT9L611KdPH2RlZWlfx8XFITMzU/v6zp07CA8PlzU4IrtzfiuwOAxIigMgDD//n7lhRDM+kURE9kHvROaXX35BQUGB9vW7776Lu3fval8XFRXh4sWLBr35woUL8cQTT8DT0xMBAQHo379/qTby8/MxYcIE1KhRAx4eHhg4cCDS09MNeh8ii6dRA4mLiot6H5hQNM+5YYjIzuidyAghKnxtjKSkJEyYMAGHDh3Czp07oVKp0KNHD9y/f197zNSpU/Hjjz9i48aNSEpKws2bNzFgwACT35vIYpzfCixrDiS+a3wbLOglIjtl1DwyctmxY4fO67Vr1yIgIADHjx9Hp06dkJWVhTVr1mD9+vXo2rUrACA+Ph7NmjXDoUOH8OSTT5ojbCL5mLRWkgKIHAc07QuEtmctDBHZJb0TGUmSIElSqW1yKqnB8fPzAwAcP34cKpUKMTEx2mOaNm2KunXr4uDBg0xkyHrJUNCLQfEcgSEiu6d3IiOEwMiRI+Hs7AyguHbllVdegbu7OwDo1M8YQ6PRYMqUKejQoQNatGgBAEhLS4OTkxN8fHx0jg0MDERaWlqZ7RQUFOjEkp2dDQBQqVRQqVRGx1dyriltWDr2sXpIF36C8uepkPKNq4URkhLqZz+DaPI0UE4/LKGfVY19tA3so+2Qu5/6tiMJPYtdRo3Sb1Ku+Ph4vY571Pjx47F9+3bs27cPderUAQCsX78eo0aNKpUktWvXDl26dMGiRaX/3+y8efMwf/78UtvXr18PNzc3o2IjkoXQoHHaVjRN+x4AYOh4Zslf1KP1JiDVN1LW0IiILE1eXh6GDBmCrKwseHl5lXuc3olMVZo4cSJ++OEH7NmzB/Xr19du//3339GtWzfcu3dPZ1QmNDQUU6ZMwdSpU0u1VdaITEhICG7fvl3hB1EZlUqFnTt3onv37nB0dDS6HUvGPlYRjRqK/UuhOPwJpIJMo5sRrn5Q91kK0bRvpcfyWtoG9tE22EMfAfn7mZ2dDX9//0oTGbMW+wohMGnSJGzZsgWJiYk6SQwAtG3bFo6Ojti1axcGDhwIALh48SKuXbuGqKioMtt0dnbW3v56mKOjoywfrFztWDL2UUbntwI/vmbaI9WuvkDkeEidpsHBwIJeXkvbwD7aBnvoIyDv960+zJrITJgwAevXr8cPP/wAT09Pbd2Lt7c3XF1d4e3tjTFjxiA2NhZ+fn7w8vLCpEmTEBUVxUJfsnwmPZH0j85zgE7T+EQSEVE5zJrIrFq1CgDQuXNnne3x8fEYOXIkAGDZsmVQKBQYOHAgCgoK0LNnT6xcubKaIyUy0NkEYLMJiz1KSmAQJ7cjIqqM2W8tVcbFxQUrVqzAihUrqiEiIhNp1MCe902b3A7gDL1ERHoyayJDZDNKEphDK4H8TOPbcfUD+n0AhHOtJCIifTCRITKVjAW9rIchIjIMExkiU7Cgl4jIrJjIEBnL1IJe3kYiIjIZExkiY5xLADYZOxIjAdEzgegZHIUhIjIRExkifWnUwNUDwIWfgCOfGt/OoLVc7JGISCZMZIj0cX4rsGMmkH3T+Da8agO94ngriYhIRkxkiCrDgl4iIovFRIaoPBo1kPQekFR6lXW9saCXiKhKMZEhKovJc8OwoJeIqDowkSF6mFxLDLCgl4ioWjCRISpxfiuwfQaQk2p8G1zskYioWjGRIQLkKegFuNgjEVE1U5g7ACKz0qiB3QuBjSNNa8erNvD8V7ydRERUzTgiQ/bL5IJeBRA5DmjaFwhtz6JeIiIzYCJDdkn6cyvw/WjTGhkUzxEYIiIzYyJDdqfWvcNQnlplfAOcG4aIyGIwkSH7oVFDsXcxnriyApIx57v6ApHjOUMvEZEFYSJDtq9kbphDK6HMzzSuDS4xQERkkZjIkG0ztaCX88IQEVk0JjJku+SYG4bzwhARWTTOI0O26WwCsGmU8ee7+nFeGCIiK8ARGbItJq+VxMUeiYisCRMZsg0PFfTC2IJegIs9EhFZGSYyZP1MnqEXxUsM9Irj3DBERFaGiQxZNzkKevloNRGR1WIiQ9ZJowaS3gOSFhnfBmfoJSKyekxkyPqYeCtJA0B0nAFll1kchSEisnJ8/Jqsh0YNJC4CNgwzOokRAI7VmwBNJz6VRERkCzgiQ9bh/FZg+wwgJ9X4NrxqQ939HaT+rUAb+SIjIiIzYiJDlk/Ggl6h1gB/b5MlLCIiMj8mMmS5qqKgV62RJzYiIrIITGTIMpk8Nwxn6CUisgdMZMiymLzEwD84Qy8RkV1gIkOWQ46CXs4NQ0RkV5jIkGUwtaDX1ReIHM8ZeomI7AwTGTIvOQp6ucQAEZHdYiJD5mNqQa+kBAZ9ATTvL2tYRERkPZjIkHnIMTfMQCYxRET2jokMVR+NGrh6ALjwE3DkU+PbYUEvERH9g4kMVY/zW4EdM4Hsm8a3wYJeIiJ6BBMZqnoyLjHABIaIiB7GRIaq1tkEYPMo489nQS8REVWAiQxVnXMJwCYW9BIRUdVhIkPyYkEvERFVIyYyJB85Cnq52CMRERmAiQzJQ46CXoCLPRIRWQm1RuBIyl1k5OQjwNMFbep4miUOJjJkOlMLegHAqzbQK463koiILFRJ4pKW9QD7L93Gzj8zkPVApd0f5OWMPkES+lRzXGZNZPbs2YPFixfj+PHjSE1NxZYtW9C/f3/tfiEE5s6di88++wyZmZno0KEDVq1ahUaNGpkvaNJlUkGvAogcBzTtC4S2560kIiIL8XDScvd+If6b+QA/nLqJu/cLyz0nPbsAX2Qr8Ni5dPRtXafaYjVrInP//n20atUKo0ePxoABA0rtf++99/Dhhx9i3bp1qF+/Pt544w307NkT58+fh4uLixkiJi05FnscFM/bSEREFqCy0RZ9iH/++872C+gdURtKhSR/oGUwayLTu3dv9O7du8x9QggsX74c//nPf/DMM88AAL788ksEBgYiISEBL7zwQnWGSg/jYo9ERFbLmNEW/UlIzSrAkZS7iAqrIUN7lbPYGpmUlBSkpaUhJiZGu83b2xuRkZE4ePBguYlMQUEBCgoKtK+zs7MBACqVCiqVYdnlw0rONaUNS1dpHzVqKPYvhWJP8SiMobl2SbaufvYziMZPA2b4LO3hOgL20U/20Tawj1VDrRE4dvUe0rLzcfd+IfzcnRDg4YyjV+/hy0PXDR5tMVRq5n2oVF4mtaHv5yUJIUTlh1U9SZJ0amQOHDiADh064ObNm6hVq5b2uOeffx6SJOG7774rs5158+Zh/vz5pbavX78ebm5uVRK7zRMaNE7birCMHXDS5BndTJ6jH87WGYpUnydkDI6IiDQCuJwtIbMQ+CsLOHtXgTx19dzaKcvEcDUaeZuWXuTl5WHIkCHIysqCl1f5SZHFjsgYa/bs2YiNjdW+zs7ORkhICHr06FHhB1EZlUqFnTt3onv37nB0dJQjVItTVh+lCz9B+fNUSPnG3UYSUEDzxMsQTfrAMSQKbRRKtJEzaAPZw3UE7KOf7KNtYB8N9+hoy43MB/jxdBru5lnCqJZAkJcLJg7uZHKNTMkdlcpYbCITFBQEAEhPT9cZkUlPT0fr1q3LPc/Z2RnOzs6ltjs6OsryCyRXO5ZM28dzCcDmkSa1JQ2Kh9ICC3rt4ToC9tFP9tE2sI9le3iuFn93Zxy9chdrD1xBZhXfGjLFf/o0hYuzk8nt6PtZWWwiU79+fQQFBWHXrl3axCU7OxuHDx/G+PHjzRucPeBij0RE1U6Op4fMxcfNEQPq5KNn88BqfV+zJjK5ubm4dOmS9nVKSgpOnToFPz8/1K1bF1OmTMHbb7+NRo0aaR+/Dg4O1plrhmQmNFDsXQzsMeGxaoCLPRIRlePRp4b8PJyLC3GtYLSlLD6ujhjVoR7+3bEeftmxvdrf36yJzLFjx9ClSxft65LalhEjRmDt2rWYMWMG7t+/j3HjxiEzMxNPPfUUduzYwTlkqoJGDcXexeh9+iMoTSjo5WKPRET/o9YIHE65i+O3JfhevoMT17OtMlkp4efuiGdaBaOOrxv8PJwR5OWCdvX9oFRIZnvyzKyJTOfOnVHRQ1OSJGHBggVYsGBBNUZlh/6ZF0b54B6MnlvX1ReIHA90msYZeonIbpV/a0iJL5OPmzs8g3m7OKB7eCA6NKqpk7RYEoutkaFqIsdij53nMIEhIrtha7eGSlQ02mLJmMjYM1MLenkbiYhsnDU+NaQvaxht0QcTGXtl0mKPEhA9E4iewVEYIrIJj46y+Lg54eBl63pqqCwPJysBHs6ABNzOLUCAp/UmLo9iImNPNGrg6gHgwk/AkU+Nb2fQWi72SERWq2rXGjIfa701ZComMvbi/FZgx0wg+6bxbXjVBnrF8VYSEVk8W61jeZit3BoyFRMZe8CCXiKycdY8kZw+fFwdMaJ9KNrVr2Fzt4ZMxUTG1rGgl4hsRFl1LJl5tnNr6GEcbdEfExlbxoJeIrJStlrH8jB7KMStDkxkbI0MBb0CgMSCXiKqYiWz3h69JSH9wBXU9HKzuTqWEm5KgdEdwxDVsCaTFZkxkbElMhT0aiBBM2ANHJjEEJEMHp2HBRKQkZ1fatZbXPrL3KHK6uHRlpruDrh1/hD6dmto8yt8mwMTGVshQ0GvAHCs3qto04z1MERkHFsvun2YvreGVCoVtv1p5mBtGBMZa6dRA0nvAUkmrlbtVRvq7u8g9W8F2sgTGRHZKHsqui3Bp4YsFxMZa/bPYo94cM/IBhRA5DigaV8gtD2EWgP8vU3WEInIOtnDPCyPenhCuZLkzJ4mlrNWTGSskUYN7HkfSHzXtHYGxesW9Ko1prVHRFbFHpOVh/ERZ9vARMbanN8KbJ8B5KQa34akBAZ9ATTvL1tYRGSZ9Cu2tV18xNn2MZGxJnLM0AsAA5nEENkqeyq2fZS9rjVk75jIWAMZC3q5VhKR9bPHYtsSrGOhRzGRsXQyF/Ryll4i62BPk8VVhHUs5qXWqHEi4wRu5d1CDdcaEELg9oPbuFdwD95O3sgqzIKvsy8C3QPR0relWWJkImPJ5LiV9GhBLxFZDP2KbW1vsrhHuSoEekfURscmAaxjkUlJApJ+Px33Cu7B19kXNd1qlpuIlLXvaNpR7L6+G1mFWXq9Z4BbALqhG/qgTxX3ThcTGUvFxR6JbIK9F9uWeHgelozsfG3ipp319ukWdj3r7aOJR0mSUVmyUda+w6mHDUpA5JKRl4Fv8A0eu/4YejXoVW3vy0TG0pj6aLWrLxA5Hug0jbeRiKoJkxVdhhTdWuOst4aMdng7eePug7u4WnAV/mn+UCqVpY65kXMD21K24V6BsSUEluX94++je73uUFbTdxATGUtRksAcWgnkZxrXRuc5TGCIZFZeklJSZHvwsn0mK8D/6leiwvytoui2vFGPyhKRh485nnYc6y+sN2q0Y9Pvm6qgV5YnPS8dJzJO4ImgJ6rl/ZjIWAJTC3o5LwyRSTiiUj5zzcMiR43Hw4mIrY16WLpbebeq7b2YyJibHAW9nBeGqFJMVspnarKi75MtZSUbdx/cxZX8K7h34R783fxNHvUgy1DTrWa1vRcTGXPQqIGrB4ALPwFHPjW+HRb0EpVS1hwr9nz7p0RZxbY+7g7IEX/Bz/sBsgrPwNHZFw7/JBtK6TYuFdzDrb/lfbKlXCfk6SeZX6BbIB4LeKza3o+JTHU7vxXYMRPIvmlCIxIQPROInsF6GLJLj86xUsPD1U4mhNNA6ZYCySELkvI+hNoNkjLvof96QBR5wMPFEW3rK+Dqkg9/N184OOSjVe3aCHTPhBD34CjdxpW8w9h9sfqfbCHbN63ttGor9AWYyFQvuZYYGLSWc8OQzSpv1tqyZ6+1hjlWSpKPHIgidwASJIfsChORso6RHDPh6H0KCof7erwjcDQPQB6Au8XbNlypsg4SASgeiemKrugW0q1a35eJTHUxdV4YgEsMkM2w7Cn2yxv1KD/JKO8YpdslOHj+CYXDAzP2h8h03k7eGNJ0CB4LfKzCmX1/2fFLtcfGRKY6nEsANpk4EsNHq8lKGDaiIpfqH/UgsgZejl7oWrcrImtFGvXUV0mS8ljAY5XeLlKpzFODxkSmqnGGXrIRlc2nYliSwlEPokf5OvuiT/0+qO1Z26SZfUseV9c3AbF2TGSqkkkjMSzopepTUZLi5arE9uQDOHojBfnq7EqSDQ8I4QGlW/mJCEc9yFboM9qhndn3z6uIiYopc2Zfe0o6qgITGbnJ9Wg1C3rJRBqhwbH0Y7iVfxt/3LiBIpULbj+4h5ruNVDHMwiSJHA9Kx1n027iYqoa+eqcikc7agIu5u4UkYnKGvUwZGZfIQTu5t9FTbeaeiceKpUK2/7ehnZB7ex6PamqwkRGTnI8Ws2CXrukz4RiZf2DmpF3q8wk5a+sU/gtcxNUu8q43XK3jACYpJCFMrXGg6Meto+JjFxMerRaAUSOA5r2BULb81aSFbDYlWofTlIsb6kbsnGVPdlS7sy+56+gXng97cy+xox6kP1iIiMHUwt6B8XzNlI1UGvUOJZ+DH8U/lHuKrT6JCJcs4VsTXU+2fKoktsufZr24W0XMgoTGVOZUtDLxR4rJMdKteWNemz8faOZe0dkHD7ZQqSLiYwpTB2JsaHFHrlSLVHFKrrtUt7fjdt5t3VuuzDpICqNiYwxNGpgz/tA4rvGnW9BIzEPJyC3826XWoW22ms8iCyAHE+2yDHqwdsuRJVjImMg6cJPwK+zgZxU4xsxciRGrlGPkn3H045j/YX1pRMQrkJLVsqYUQ/O50Fk3ZjIGKBW5lEoN38MQBh0nhrACRdnpHvUxL3wvvB2USDr/Ffme7KFyAKYOupRpCrCb4d+Q2izUN52IbJjTGT0pVGj5X//D4DQJia3lErUUKshANxWKnFPqYC3WoMspQK+ag1qqtU47uKC9X7+yBL/rEFxfVvxHyIr46LwQJsaT6Fv404IdA8w+3weKpUKt51v87YLkZ1jIqMn6fpBuKru4jc3V8TV8EW6gwEfnTDPQlpEAKApckFRbjicChuhSbADWtQK1pnZ91beHfi7+cLBIR+tatculaTwdgsRWTImMvrKTcdvbq6IDfA38MYSkf40Ra5Q3WsPdV59g1ZvdlF46CQpGk0RDpw9jrq1W6BVQFsEe7ujXX0/KBWcJY+IbAsTGT2p3WsiroZvcRIj8cuAAE2RO4qyWkGj8tUr2ah4nwdEkRfUefUBKHTex9vFAd3DAxEV5o/MvEL4eTgjwKN4YcfbuQUI8HQplaSoVCoEpqnQpxtvuxCRbWMio6cTzi6G3U4ii2XsqIfuvrKTDkP4uTvimRbBqOPrBh83J72TFCIi+h9+M+vpdkFZK+1RVSt71KOiJMO4UQ+5+bg6YkT7ULSrXwMZ2fm4e79QJ1kJ8mKCQkQkByYyevJ39Td3CFahpLBUfb+RgbdWykpEqifp0FfJLZ4OjWpqR02YpBARmZdVJDIrVqzA4sWLkZaWhlatWuGjjz5Cu3btqjWGNjXbwEvyQrbIrtb3rS7/S0DCZK/xsAbG1KEQEZH5WXwi89133yE2NharV69GZGQkli9fjp49e+LixYsICAiotjiUCiWaF/XFAcV6AOat9zV91OPhfbkQRZ5Wm4CUp7xbO3dyH+B68p/o/lQ7KB0cmKQQEVk5i09kli5dirFjx2LUqOLFGVevXo2ff/4ZX3zxBWbNmlVtcag1AkeutES+80twDvwRkqPhM+za+6iHqeS4taNSqbAt8zyiwmrwaR4iIhtg0YlMYWEhjh8/jtmzZ2u3KRQKxMTE4ODBg2WeU1BQgIKCAu3r7OziW0EqlQoqlfET0x26fAuZhRJQ2AJFOeFQuqVAcsiBKHKHvY56GMvH1QEvRdbFE/V8cSu34J9ExBGZeSrtf/3cnRDg4QwB4M79QgR4OuPxUN8ykhPvMt9Doy6CRl16e8nvgCm/C9bAHvrJPtoG9tF2yN1PfduRhBAWO7/bzZs3Ubt2bRw4cABRUVHa7TNmzEBSUhIOHz5c6px58+Zh/vz5pbavX78ebm5uRsdy/LaEL5M5q2l5XBUCLf00aOQN3C8CPB2L/0gAslRArqr4tbcTEOYlwLs4RERUkby8PAwZMgRZWVnw8vIq9ziLHpExxuzZsxEbG6t9nZ2djZCQEPTo0aPCD6Iy3skZ+DL5lAwRWjZXhUDPlkF46p/bNwIoNWqi/2iJ5VGpVNi5cye6d+9u07eW7KGf7KNtYB9th9z9LLmjUhmLTmT8/f2hVCqRnp6usz09PR1BQUFlnuPs7AxnZ+dS2x0dHU36YJ8MqwkfJ4GsQskqliiobB6TR2tM/DycUdPdAbfOH0Lfp1vZ9F82wPTfB2thD/1kH20D+2g75Oqnvm1YdCLj5OSEtm3bYteuXejfvz8AQKPRYNeuXZg4cWK1xqJUSBhQT4P4v5SQgCpPZipKRCpLSIydx0SlUmHbn1XUISIioipg0YkMAMTGxmLEiBF4/PHH0a5dOyxfvhz379/XPsVUnVrVEPjohVZ4Z/tFpGblV3isORIRIiIie2PxiczgwYNx69YtvPnmm0hLS0Pr1q2xY8cOBAYGmiWens0D0TuiNo6k3EVGTj783ZmIEBERmYvFJzIAMHHixGq/lVQRpUJCVFgNc4dBRERk9zipCREREVktJjJERERktZjIEBERkdViIkNERERWi4kMERERWS0mMkRERGS1mMgQERGR1WIiQ0RERFaLiQwRERFZLauY2dcUQhQv76jvcuDlUalUyMvLQ3Z2ts2uXso+2g576Cf7aBvYR9shdz9LvrdLvsfLY/OJTE5ODgAgJCTEzJEQERGRoXJycuDt7V3ufklUlupYOY1Gg5s3b8LT0xOSZPwijtnZ2QgJCcH169fh5eUlY4SWg320HfbQT/bRNrCPtkPufgohkJOTg+DgYCgU5VfC2PyIjEKhQJ06dWRrz8vLy6Z/EQH20ZbYQz/ZR9vAPtoOOftZ0UhMCRb7EhERkdViIkNERERWi4mMnpydnTF37lw4OzubO5Qqwz7aDnvoJ/toG9hH22Guftp8sS8RERHZLo7IEBERkdViIkNERERWi4kMERERWS0mMkRERGS1mMjoYcWKFahXrx5cXFwQGRmJI0eOmDskoy1cuBBPPPEEPD09ERAQgP79++PixYs6x3Tu3BmSJOn8eeWVV8wUsXHmzZtXqg9NmzbV7s/Pz8eECRNQo0YNeHh4YODAgUhPTzdjxIarV69eqT5KkoQJEyYAsM7ruGfPHvTr1w/BwcGQJAkJCQk6+4UQePPNN1GrVi24uroiJiYGycnJOsfcvXsXQ4cOhZeXF3x8fDBmzBjk5uZWYy8qVlEfVSoVZs6ciZYtW8Ld3R3BwcEYPnw4bt68qdNGWdc+Li6umntSscqu5ciRI0v1oVevXjrHWPO1BFDm309JkrB48WLtMZZ+LfX5ztDn39Nr167h6aefhpubGwICAjB9+nQUFRXJEiMTmUp89913iI2Nxdy5c3HixAm0atUKPXv2REZGhrlDM0pSUhImTJiAQ4cOYefOnVCpVOjRowfu37+vc9zYsWORmpqq/fPee++ZKWLjNW/eXKcP+/bt0+6bOnUqfvzxR2zcuBFJSUm4efMmBgwYYMZoDXf06FGd/u3cuRMA8Nxzz2mPsbbreP/+fbRq1QorVqwoc/97772HDz/8EKtXr8bhw4fh7u6Onj17Ij8/X3vM0KFDce7cOezcuRM//fQT9uzZg3HjxlVXFypVUR/z8vJw4sQJvPHGGzhx4gS+//57XLx4Ef/6179KHbtgwQKdaztp0qTqCF9vlV1LAOjVq5dOH7755hud/dZ8LQHo9C01NRVffPEFJEnCwIEDdY6z5Gupz3dGZf+eqtVqPP300ygsLMSBAwewbt06rF27Fm+++aY8QQqqULt27cSECRO0r9VqtQgODhYLFy40Y1TyycjIEABEUlKSdlt0dLSYPHmy+YKSwdy5c0WrVq3K3JeZmSkcHR3Fxo0btdv+/PNPAUAcPHiwmiKU3+TJk0VYWJjQaDRCCOu/jgDEli1btK81Go0ICgoSixcv1m7LzMwUzs7O4ptvvhFCCHH+/HkBQBw9elR7zPbt24UkSeLGjRvVFru+Hu1jWY4cOSIAiKtXr2q3hYaGimXLllVtcDIqq58jRowQzzzzTLnn2OK1fOaZZ0TXrl11tlnbtXz0O0Off0+3bdsmFAqFSEtL0x6zatUq4eXlJQoKCkyOiSMyFSgsLMTx48cRExOj3aZQKBATE4ODBw+aMTL5ZGVlAQD8/Px0tv/f//0f/P390aJFC8yePRt5eXnmCM8kycnJCA4ORoMGDTB06FBcu3YNAHD8+HGoVCqd69q0aVPUrVvXaq9rYWEhvv76a4wePVpncVRbuI4lUlJSkJaWpnPdvL29ERkZqb1uBw8ehI+PDx5//HHtMTExMVAoFDh8+HC1xyyHrKwsSJIEHx8fne1xcXGoUaMG2rRpg8WLF8s2TF+dEhMTERAQgCZNmmD8+PG4c+eOdp+tXcv09HT8/PPPGDNmTKl91nQtH/3O0Off04MHD6Jly5YIDAzUHtOzZ09kZ2fj3LlzJsdk84tGmuL27dtQq9U6Hz4ABAYG4sKFC2aKSj4ajQZTpkxBhw4d0KJFC+32IUOGIDQ0FMHBwTh9+jRmzpyJixcv4vvvvzdjtIaJjIzE2rVr0aRJE6SmpmL+/Pno2LEjzp49i7S0NDg5OZX6YggMDERaWpp5AjZRQkICMjMzMXLkSO02W7iODyu5NmX9fSzZl5aWhoCAAJ39Dg4O8PPzs8prm5+fj5kzZ+LFF1/UWYTvtddew2OPPQY/Pz8cOHAAs2fPRmpqKpYuXWrGaA3Tq1cvDBgwAPXr18fly5cxZ84c9O7dGwcPHoRSqbS5a7lu3Tp4enqWuoVtTdeyrO8Mff49TUtLK/Pvbck+UzGRsWMTJkzA2bNndWpHAOjcg27ZsiVq1aqFbt264fLlywgLC6vuMI3Su3dv7c8RERGIjIxEaGgoNmzYAFdXVzNGVjXWrFmD3r17Izg4WLvNFq6jPVOpVHj++echhMCqVat09sXGxmp/joiIgJOTE/79739j4cKFVjMN/gsvvKD9uWXLloiIiEBYWBgSExPRrVs3M0ZWNb744gsMHToULi4uOtut6VqW951hbry1VAF/f38olcpS1dfp6ekICgoyU1TymDhxIn766Sfs3r0bderUqfDYyMhIAMClS5eqI7Qq4ePjg8aNG+PSpUsICgpCYWEhMjMzdY6x1ut69epV/Pbbb3j55ZcrPM7ar2PJtano72NQUFCpQvyioiLcvXvXqq5tSRJz9epV7Ny5U2c0piyRkZEoKirClStXqifAKtCgQQP4+/trfz9t5VoCwN69e3Hx4sVK/44Clnsty/vO0Off06CgoDL/3pbsMxUTmQo4OTmhbdu22LVrl3abRqPBrl27EBUVZcbIjCeEwMSJE7Flyxb8/vvvqF+/fqXnnDp1CgBQq1atKo6u6uTm5uLy5cuoVasW2rZtC0dHR53revHiRVy7ds0qr2t8fDwCAgLw9NNPV3ictV/H+vXrIygoSOe6ZWdn4/Dhw9rrFhUVhczMTBw/flx7zO+//w6NRqNN5CxdSRKTnJyM3377DTVq1Kj0nFOnTkGhUJS6FWNN/vvf/+LOnTva309buJYl1qxZg7Zt26JVq1aVHmtp17Ky7wx9/j2NiorCmTNndBLTkgQ9PDxcliCpAt9++61wdnYWa9euFefPnxfjxo0TPj4+OtXX1mT8+PHC29tbJCYmitTUVO2fvLw8IYQQly5dEgsWLBDHjh0TKSkp4ocffhANGjQQnTp1MnPkhnn99ddFYmKiSElJEfv37xcxMTHC399fZGRkCCGEeOWVV0TdunXF77//Lo4dOyaioqJEVFSUmaM2nFqtFnXr1hUzZ87U2W6t1zEnJ0ecPHlSnDx5UgAQS5cuFSdPntQ+sRMXFyd8fHzEDz/8IE6fPi2eeeYZUb9+ffHgwQNtG7169RJt2rQRhw8fFvv27RONGjUSL774orm6VEpFfSwsLBT/+te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}, - "metadata": {}, - "output_type": "display_data" + "metadata": {} } - ], - "source": [ - "# Plot for each unique context_len\n", - "def plot_gen_len(df):\n", - " for context_len in df['context_len'].unique():\n", - " subset_df = df[df['context_len'] == context_len]\n", - " plt.plot(subset_df['gen_len'], subset_df['speedup'], label=f'{context_len}')\n", - "\n", - " plt.xlabel('tokens per branch')\n", - " plt.ylabel('speedup')\n", - " plt.title('tokens generated vs speedup')\n", - " plt.legend(title=\"Context Length\")\n", - " plt.show()\n", - "\n", - "plot_gen_len(df_gen)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "df_seq.to_csv(\"df_seq.csv\")\n", - "df_mb.to_csv(\"df_mb.csv\")\n", - "df_gen.to_csv(\"df_gen.csv\")\n", - "df_high_branch.to_csv(\"df_high_branch.csv\")" ] } ], "metadata": { "accelerator": "GPU", "colab": { - "gpuType": "T4", + "gpuType": "A100", "provenance": [] }, "kernelspec": { @@ -1148,2064 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@@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 1, "metadata": { "id": "aMJIw0AqOhB2" }, @@ -66,7 +66,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 2, "metadata": { "id": "LaNMNVp8RuRa" }, @@ -99,7 +99,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 3, "metadata": { "id": "MNaa6P9bOjtI" }, @@ -208,7 +208,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 4, "metadata": { "id": "VJF9Ua2VooHY" }, @@ -261,7 +261,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 5, "metadata": { "id": "fBRTeKyHPIHx" }, @@ -322,11 +322,181 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 6, "metadata": { - "id": "PyKyaMDmsbxb" + "colab": { + "base_uri": "https://localhost:8080/", + "height": 333, + "referenced_widgets": [ + "f322a8dea89f4f848152b281e498912b", + "c9d35f144062435eaf7e0f9dead3c6cd", + "103dbc0203a045bea52bd25c98338fbb", + 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all of your notebooks.\n", + "Please note that authentication is recommended but still optional to access public models or datasets.\n", + " warnings.warn(\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "tokenizer_config.json: 0%| | 0.00/50.5k [00:000 else -0.001))\n", @@ -585,7 +755,7 @@ "metadata": { "id": "xYsbh1bhnIWU" }, - "execution_count": 27, + "execution_count": 9, "outputs": [] }, { @@ -602,20 +772,20 @@ "base_uri": "https://localhost:8080/" }, "id": "o9oloqgBUWYM", - "outputId": "af7918d0-3325-4cd5-dc4e-dcae615d6e83" + "outputId": "5f16037e-8c16-4575-d3ad-e805f8edddbb" }, - "execution_count": 28, + "execution_count": 10, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " context_len num_branchs gen_len mdecode seq speedup mb speedup_mb\n", - "0 0 1 2 0.039620 0.038020 0.959620 0.038578 0.973708\n", - "1 0 1 20 0.407117 0.372931 0.916029 0.372234 0.914317\n", - "2 0 10 2 0.040504 0.380199 9.386750 0.041046 1.013394\n", - "3 0 10 20 0.465266 3.729307 8.015428 0.402170 0.864388\n", - "4 1000 10 10 0.360160 3.379511 9.383352 1.628626 4.521947\n" + "0 0 1 2 0.057633 0.036768 0.637955 0.037429 0.649437\n", + "1 0 1 20 0.405443 0.365564 0.901640 0.370612 0.914091\n", + "2 0 10 2 0.040014 0.367675 9.188617 0.040521 1.012677\n", + "3 0 10 20 0.439649 3.655639 8.314897 0.389930 0.886911\n", + "4 1000 10 10 0.353833 3.285232 9.284703 1.621550 4.582815\n" ] } ] @@ -636,28 +806,28 @@ "base_uri": "https://localhost:8080/" }, "id": "vkH1IEiJWAtd", - "outputId": "7ee2bdfc-f06b-458f-e604-c84c07dfef94" + "outputId": "3205b47d-936e-4d55-da98-6d0336caf6d2" }, - "execution_count": 29, + "execution_count": 11, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " context_len num_branchs gen_len mdecode seq speedup mb speedup_mb\n", - "0 1000 1 2 0.181670 0.182450 1.004295 0.182024 1.001949\n", - "1 1000 2 2 0.180787 0.364900 2.018400 0.320928 1.775176\n", - "2 1000 5 2 0.180895 0.912249 5.042967 0.746595 4.127218\n", - "3 1000 7 2 0.181208 1.277149 7.047984 1.053591 5.814274\n", - "4 1000 10 2 0.183917 1.824499 9.920236 1.468661 7.985462\n", - "5 1000 12 2 0.182485 2.189399 11.997664 1.739157 9.530390\n", - "6 1000 15 2 0.190699 2.736748 14.351156 2.169349 11.375787\n", - "7 1000 20 2 0.181918 3.648998 20.058452 2.887443 15.872204\n", - "8 1000 25 2 0.183227 4.561247 24.893902 0.000000 0.000000\n", - "9 1000 30 2 0.184441 5.473497 29.676113 0.000000 0.000000\n", - "10 1000 50 2 0.182669 9.122495 49.940091 0.000000 0.000000\n", - "11 1000 75 2 0.184208 13.683742 74.284049 0.000000 0.000000\n", - "12 1000 100 2 0.184971 18.244989 98.637190 0.000000 0.000000\n" + "0 1000 1 2 0.181421 0.183101 1.009260 0.184949 1.019444\n", + "1 1000 2 2 0.180749 0.366202 2.026025 0.320104 1.770983\n", + "2 1000 5 2 0.180977 0.915505 5.058683 0.744954 4.116291\n", + "3 1000 7 2 0.180954 1.281707 7.083062 1.050186 5.803614\n", + "4 1000 10 2 0.180289 1.831011 10.155960 1.466164 8.132288\n", + "5 1000 12 2 0.180970 2.197213 12.141296 1.735237 9.588524\n", + "6 1000 15 2 0.181394 2.746516 15.141193 2.166192 11.941942\n", + "7 1000 20 2 0.182504 3.662021 20.065449 2.896133 15.868890\n", + "8 1000 25 2 0.182711 4.577526 25.053370 NaN NaN\n", + "9 1000 30 2 0.182913 5.493032 30.030794 NaN NaN\n", + "10 1000 50 2 0.183920 9.155053 49.777422 NaN NaN\n", + "11 1000 75 2 0.184679 13.732579 74.359217 NaN NaN\n", + "12 1000 100 2 0.186020 18.310106 98.430836 NaN NaN\n" ] } ] @@ -678,26 +848,26 @@ "base_uri": "https://localhost:8080/" }, "id": "2_vdPJF8lx3i", - "outputId": "8478e75a-0550-4101-dd9a-02c3c04b662e" + "outputId": "13be2caf-7e9a-437e-f308-993aa23d37a5" }, - "execution_count": 30, + "execution_count": 12, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ - " context_len num_branchs gen_len mdecode seq speedup mb speedup_mb\n", - "0 1000 32 2 0.188463 5.926047 31.444138 0.0 0.0\n", - "1 1000 32 3 0.211506 6.532721 30.886734 0.0 0.0\n", - "2 1000 32 4 0.234815 7.134711 30.384397 0.0 0.0\n", - "3 1000 32 5 0.258846 7.735217 29.883527 0.0 0.0\n", - "4 1000 32 6 0.283621 8.333540 29.382673 0.0 0.0\n", - ".. ... ... ... ... ... ... ... ...\n", - "193 1000 32 195 16.981462 122.510391 7.214360 0.0 0.0\n", - "194 1000 32 196 17.143559 123.112396 7.181263 0.0 0.0\n", - "195 1000 32 197 17.298487 123.712151 7.151617 0.0 0.0\n", - "196 1000 32 198 17.455252 124.319992 7.122211 0.0 0.0\n", - "197 1000 32 199 17.615320 124.921715 7.091652 0.0 0.0\n", + " context_len num_branchs gen_len mdecode seq speedup mb speedup_mb\n", + "0 1000 32 2 0.186509 5.903107 31.650497 None NaN\n", + "1 1000 32 3 0.208529 6.480255 31.075968 None NaN\n", + "2 1000 32 4 0.231087 7.060768 30.554624 None NaN\n", + "3 1000 32 5 0.254801 7.652302 30.032460 None NaN\n", + "4 1000 32 6 0.278780 8.233173 29.532897 None NaN\n", + ".. ... ... ... ... ... ... ... ...\n", + "193 1000 32 195 16.004658 118.531754 7.406079 None NaN\n", + "194 1000 32 196 16.147682 119.108841 7.376219 None NaN\n", + "195 1000 32 197 16.292469 119.692474 7.346491 None NaN\n", + "196 1000 32 198 16.437164 120.276566 7.317355 None NaN\n", + "197 1000 32 199 16.584457 120.853851 7.287175 None NaN\n", "\n", "[198 rows x 8 columns]\n" ] @@ -715,9 +885,9 @@ "height": 472 }, "id": "62jr3rwwsCBy", - "outputId": "ae410c0b-6fc4-48dc-b730-29137bebaa59" + "outputId": "02e958cf-723c-4a15-fe13-497a70960a60" }, - "execution_count": 31, + "execution_count": 13, "outputs": [ { "output_type": "display_data", @@ -725,7 +895,7 @@ "text/plain": [ "
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\n" + "image/png": 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\n" }, "metadata": {} } @@ -742,9 +912,9 @@ "height": 472 }, "id": "LuBrGZUAryoV", - "outputId": "da173429-7cea-4b6b-beb3-0adfb3c95485" + "outputId": "0efd1ce5-7691-4025-c956-116d7db44b07" }, - "execution_count": 32, + "execution_count": 14, "outputs": [ { "output_type": "display_data", @@ -752,7 +922,7 @@ "text/plain": [ "
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\n" 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\n" }, "metadata": {} } @@ -769,9 +939,9 @@ "height": 472 }, "id": "ccwAS3q9s5ke", - "outputId": "2cfcfd4e-f338-4978-a126-fcb706b2cc17" + "outputId": "8ad4ecd4-a40d-4e00-a917-c5f08bc12ac7" }, - "execution_count": 33, + "execution_count": 15, "outputs": [ { "output_type": "display_data", @@ -779,7 +949,7 @@ "text/plain": [ "
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\n" + "image/png": 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\n" }, "metadata": {} } @@ -796,9 +966,9 @@ "height": 472 }, "id": "UaxgQ86ErrX2", - "outputId": "7e24689c-2dd9-4f17-d658-18e5ab51f793" + "outputId": "e9aad4b1-6857-4abe-f622-16c1e0c9b389" }, - "execution_count": 34, + "execution_count": 16, "outputs": [ { "output_type": "display_data", @@ -806,7 +976,7 @@ "text/plain": [ "
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\n" 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\n" }, "metadata": {} } @@ -829,26 +999,26 @@ }, "collapsed": true, "id": "Q5KJn8qFu3ZA", - "outputId": "f1cac8f9-0396-4570-8849-fa614fad6b31" + "outputId": "06f3fb30-a04f-4e68-d186-02ea44be528b" }, - "execution_count": 35, + "execution_count": 17, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ - " context_len num_branchs gen_len mdecode seq speedup mb speedup_mb\n", - "0 500 15 2 0.107558 1.634478 15.196223 1.100227 10.229129\n", - "1 500 15 3 0.128795 1.964362 15.251835 1.119925 8.695397\n", - "2 500 15 4 0.150952 2.287237 15.152088 1.139599 7.549419\n", - "3 500 15 5 0.173354 2.603815 15.020259 1.159129 6.686505\n", - "4 500 15 6 0.196039 2.886530 14.724271 1.178650 6.012325\n", - ".. ... ... ... ... ... ... ... ...\n", - "193 500 15 195 9.776065 56.394053 5.768584 4.931932 0.504491\n", - "194 500 15 196 9.854712 56.713328 5.754946 4.951518 0.502452\n", - "195 500 15 197 9.934045 57.031710 5.741036 4.971063 0.500407\n", - "196 500 15 198 10.012801 57.323170 5.724988 4.990612 0.498423\n", - "197 500 15 199 10.093795 57.601150 5.706590 5.010295 0.496374\n", + " context_len num_branchs gen_len mdecode seq speedup mb speedup_mb\n", + "0 500 15 2 0.103920 1.589710 15.297368 1.098220 10.567893\n", + "1 500 15 3 0.125926 1.861507 14.782528 1.117990 8.878143\n", + "2 500 15 4 0.147683 2.129517 14.419543 1.136932 7.698481\n", + "3 500 15 5 0.169380 2.396863 14.150788 1.156474 6.827682\n", + "4 500 15 6 0.191279 2.665588 13.935573 1.175545 6.145697\n", + ".. ... ... ... ... ... ... ... ...\n", + "193 500 15 195 9.238857 53.992646 5.844083 4.836444 0.523489\n", + "194 500 15 196 9.317409 54.265033 5.824048 4.856062 0.521182\n", + "195 500 15 197 9.392836 54.537753 5.806314 4.875648 0.519082\n", + "196 500 15 198 9.467945 54.834323 5.791576 4.895290 0.517038\n", + "197 500 15 199 9.543353 55.106971 5.774383 4.915022 0.515020\n", "\n", "[198 rows x 8 columns]\n" ] @@ -866,9 +1036,9 @@ "height": 472 }, "id": "uXk061_ZvAE1", - "outputId": "b305a7eb-a1f3-475e-f678-538717f7ded6" + "outputId": "2835060f-63d7-40af-ccfe-0c8ca1766931" }, - "execution_count": 36, + "execution_count": 18, "outputs": [ { "output_type": "display_data", @@ -876,7 +1046,7 @@ "text/plain": [ "
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\n" + "image/png": 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99fa1d3..3df333d 100644 --- a/mdecodedemo.ipynb +++ b/mdecodedemo.ipynb @@ -1,1006 +1,895 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This notebook demonstrates a simple implementation of the MultiDecode algorithm. In this notebook the attention masks and position_ids are generated manually and then passed to mdgen for iterative token generation. A few simple examples are demonstrated. \n", - "- beam search\n", - "- parallel questions\n", - "- writing in the margins" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "# os.environ[\"CUDA_LAUNCH_BLOCKING\"] = \"1\"\n", - "\n", - "import copy\n", - "import time\n", - "from transformers import AutoTokenizer, AutoModelForCausalLM,AutoConfig\n", - "import torch\n", - "import transformers\n", - "import torch.nn.functional as F\n", - "from functools import partial\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "# Log in to Hugging Face\n", - "\n", - "from huggingface_hub import login\n", - "try:\n", - " from google.colab import userdata\n", - " hf_token=userdata.get('huggingface')\n", - "except:\n", - " import os\n", - " import dotenv\n", - " dotenv.load_dotenv(\"../.env\")\n", - " hf_token=os.getenv('HUGGINGFACE')\n", - "\n", - "\n", - "login(token=hf_token)" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "def mdgen(model, input_ids,positions=None,mask=None,gen_len=10,n_branch=2,greedy=False,branch_locations=None,past_key_values=None):\n", - " \"\"\"\n", - " Implements the parallel generation of tokens using the multidecode technique.\n", - "\n", - " This function generates tokens in parallel by branching at specified positions in the input sequence.\n", - " It uses a model's forward pass to compute logits and generate tokens iteratively, either greedily or\n", - " through sampling. The generated tokens are accumulated and returned along with other relevant data.\n", - "\n", - " Args:\n", - " model (torch.nn.Module): The model used for token generation. Must support `forward` with caching.\n", - " input_ids (torch.Tensor): Input token IDs of shape (batch_size, ctx_len).\n", - " positions (torch.Tensor, optional): Position encodings for the input tokens. If None, defaults to\n", - " sequential positions [0, 1, ..., ctx_len-1]. Shape must match `input_ids`.\n", - " mask (torch.Tensor): Attention mask of shape (batch_size, ctx_len, ctx_len). Controls which tokens\n", - " the model attends to during prefill.\n", - " gen_len (int, optional): Number of tokens to generate. Defaults to 10.\n", - " n_branch (int, optional): Number of parallel branches for token generation. Defaults to 2.\n", - " greedy (bool, optional): If True, selects the most probable token at each step. If False, samples\n", - " tokens based on probabilities. Defaults to False.\n", - " branch_locations (list, optional): List of positions where branches start. If None, defaults to\n", - " the end of the input context.\n", - "\n", - " Returns:\n", - " dict: A dictionary containing:\n", - " - 'branch_ids' (torch.Tensor): Generated token IDs for each branch, reshaped to (n_branch, batch_size).\n", - " - 'mask' (torch.Tensor): Final attention mask after generation.\n", - " - 'output_ids' (torch.Tensor): All generated token IDs concatenated sequentially.\n", - " - 'input_ids' (torch.Tensor): Original input token IDs.\n", - " - 'positions' (torch.Tensor): Position encodings for all tokens, including generated ones.\n", - "\n", - " Raises:\n", - " AssertionError: If `positions` shape does not match `input_ids` shape.\n", - "\n", - " Example:\n", - " output = mdgen(\n", - " model=my_model,\n", - " input_ids=torch.tensor([[1, 2, 3]]),\n", - " mask=torch.ones(1, 3, 3),\n", - " gen_len=5,\n", - " n_branch=2,\n", - " greedy=True\n", - " )\n", - " print(output['branch_ids'])\n", - " \"\"\"\n", - "\n", - " past_len=0 if past_key_values is None else past_key_values.get_seq_length()\n", - "\n", - " if positions is not None:\n", - " assert input_ids.shape == positions.shape,\"positions.shape must match input_ids.shape\"\n", - " #assert mask.shape[2]==input_ids.shape[1],\"length of attn mask must match input length\"\n", - "\n", - "\n", - " batch_size,ctx_len=input_ids.shape\n", - " \n", - " # every cycle we add n_branch more tokens, so the end of the 4D attention mask is a diagonal. Create here and reuse below\n", - " gen_mask = torch.where(torch.eye(n_branch) == 1, torch.tensor(0.0), torch.tensor(float('-inf'))).unsqueeze(0).unsqueeze(0).to(model.device)\n", - "\n", - " # position information of the initial context input_ids. If None assume 0..ctx_len\n", - " if positions is None:\n", - " positions=torch.arange(ctx_len,dtype=torch.int).unsqueeze(0)\n", - " positions=positions.to(model.device)\n", - " position_history=copy.copy(positions)\n", - "\n", - "\n", - " # if branch location is not specified, assume all branches start at the end of the context\n", - " if branch_locations is None:\n", - " branch_locations=[ctx_len-1]*n_branch\n", - " \n", - " assert all(bl>past_len for bl in branch_locations),\"Branches must start with new input_ids, not from past_key_values.\"\n", - "\n", - " # the position encoding of the first generated token is just after the branch location position encoding\n", - " tmp=[int(positions[0,x]) for x in branch_locations] \n", - " gen_positions=torch.tensor(tmp).unsqueeze(0).to(model.device)\n", - "\n", - "\n", - " # we will accumulate the generated tokens into output_ids\n", - " output_ids=torch.empty((batch_size,0),dtype=torch.int).to(model.device)\n", - "\n", - " # move remaining tensors to model.device\n", - " mask=mask.to(model.device)\n", - " input_ids=input_ids.to(model.device)\n", - " initial_length=input_ids.shape[1]\n", - " pkv=past_key_values\n", - "\n", - " with torch.no_grad():\n", - " # first step is to prefill the context and generate pkv\n", - " output=model.forward(input_ids=input_ids[:,past_len:],position_ids=positions[:,past_len:] ,attention_mask=mask, use_cache=True,past_key_values=pkv)\n", - " pkv = output.past_key_values\n", - "\n", - " # get logits from the locations where the branches fork\n", - " branch_locations=torch.tensor(branch_locations,dtype=torch.int)\n", - " \n", - " # branch locations are relative to full input sequence,\n", - " # so we subtrack the pkv length \n", - " logits=output['logits'][:,branch_locations-past_len,:]\n", - " mask = mask[:,:,branch_locations-past_len,:]\n", - "\n", - " for i in range(gen_len):\n", - " # select tokens, greedy or not\n", - " next_token_probs = F.softmax(logits / 0.7, dim=-1)\n", - " if greedy:\n", - " tokens = torch.argmax(next_token_probs,dim=-1)\n", - " else:\n", - " samples = torch.multinomial(next_token_probs.view(-1,next_token_probs.shape[-1]), num_samples=1, replacement=True).view(batch_size,n_branch)\n", - " tokens = samples.squeeze(-1)\n", - "\n", - " # save the generated tokens\n", - " output_ids=torch.cat([output_ids,tokens],dim=-1)\n", - " mask=torch.cat([mask,gen_mask],dim=-1)\n", - "\n", - " # Generate n_branch new tokens.\n", - " output=model.forward(input_ids=tokens,position_ids=gen_positions ,attention_mask=mask, past_key_values=pkv, use_cache=True)\n", - " logits=output['logits']\n", - " pkv = output['past_key_values'] \n", - "\n", - " # increment the position information for the next token\n", - " gen_positions+=1\n", - "\n", - " position_history=torch.cat([position_history,gen_positions],dim=-1)\n", - "\n", - " # restruture the results to have n_branch sequences\n", - " branch_ids=output_ids.view(-1,n_branch,1).permute(2,1,0).squeeze(-1)\n", - " full_ids=torch.cat([input_ids,output_ids],dim=-1)\n", - " return {'branch_ids':branch_ids,'mask':mask,'output_ids':output_ids,'input_ids':full_ids,\n", - " 'n_branch':n_branch,'initial_length':initial_length,'positions':position_history,'past_key_values':pkv}\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [], - "source": [ - "#Helpful utilities\n", - "def print_branches(branch_ids):\n", - " branch_ids=branch_ids.cpu()\n", - " for sidx,branches in enumerate(branch_ids):\n", - " for bidx,branch_ids in enumerate(branches):\n", - " ids=branch_ids\n", - " print(f\"{sidx}.{bidx}: {''.join(tokenizer.batch_decode(ids, skip_special_tokens=True))}\")\n", - "\n", - "def print_mask(mask):\n", - " for i in range(mask.shape[2]):\n", - " for j in range(mask.shape[3]):\n", - " print('*' if mask[0,0,i,j]==0. else '.',end=\"\")\n", - " print()\n", - "\n", - "def print_full(output):\n", - " full_ids=torch.cat([output['input_ids'],output['output_ids']],dim=-1)\n", - " # print(f\"{full_ids=}\")\n", - " # print(''.join(tokenizer.batch_decode(full_ids, skip_special_tokens=True)))\n", - " mask=output['mask']\n", - " for b in range(mask.shape[2]):\n", - " branch_full_ids=[]\n", - " for p in range(mask.shape[3]):\n", - " if mask[0,0,b,p] == 0.0:\n", - " branch_full_ids.append(int(full_ids[0,p]))\n", - " print(f\"{b}:{''.join(tokenizer.batch_decode(branch_full_ids, skip_special_tokens=True))}\")\n", - " \n", - "\n", - "def print_args(input_ids=None,positions=None,mask=None,branch_locations=None):\n", - " print()\n", - " print(\"Arguments:\")\n", - " print(f\"{input_ids.shape=}\")\n", - " if positions is not None:\n", - " print(f\"{positions=}\")\n", - " if branch_locations is not None:\n", - " print(f\"{branch_locations=}\")\n", - " print()\n", - " if mask is not None:\n", - " print_mask(mask)\n", - " print()\n", - "\n", - "def print_results(output):\n", - " print()\n", - " print(\"Results\")\n", - " print(\"raw\")\n", - " print(f\"{''.join(tokenizer.batch_decode(output['output_ids'], skip_special_tokens=True))}\")\n", - " print()\n", - " print(\"Reformated\")\n", - " print_full(output)\n", - " print()\n", - " print(f\"positions {output['positions']}\")\n", - " print()\n", - " print_mask(output['mask'])\n", - " print()\n", - " \n", - "def strmask(*args):\n", - " n_branch=len(args)\n", - " seq_len=len(args[0])\n", - " ret=torch.full((n_branch,seq_len),fill_value=float('-inf'))\n", - "\n", - " for b,arg in enumerate(args):\n", - " for i,v in enumerate(arg):\n", - " if v=='1' or v=='*':\n", - " ret[b,i]=0\n", - " return ret.unsqueeze(0).unsqueeze(0)\n", - "\n", - "def lut_attn(n):\n", - " ''''\n", - "\n", - " Returns a lower triangle array with dimensions and values suitable for an attention mask\n", - " dimension: [1,1,n,n]\n", - " values: 0 in lower triangle and diagonal\n", - " -inf in upper triangle\n", - " \n", - " '''\n", - " return torch.where(torch.tril(torch.ones(n,n)) == 1, torch.tensor(0.0), torch.tensor(float('-inf'))).unsqueeze(0).unsqueeze(0)" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [], - "source": [ - "#Initialize model\n", - "model_name=\"meta-llama/Llama-3.2-1B\"\n", - "\n", - "tokenizer = AutoTokenizer.from_pretrained(model_name,padding_side='left')\n", - "tokenizer.pad_token_id=tokenizer.eos_token_id\n", - "\n", - "model = AutoModelForCausalLM.from_pretrained(model_name)#,attn_implementation=\"flex_attention\")\n", - "model = model.to(\"cuda\" if torch.cuda.is_available() else \"cpu\") # Use GPU if available" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ + "cells": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Arguments:\n", - "input_ids.shape=torch.Size([1, 5])\n", - "\n", - "*....\n", - "**...\n", - "***..\n", - "****.\n", - "*****\n", - "\n", - "\n", - "Results\n", - "raw\n", - ",,,, there there there there in was was was was the a a a a middle little young man woman of girl woman called called called named Bl S198 Ting Kaiseall0aik Pascalies,uko..\n", - ", she\n", - "\n", - "Reformated\n", - "0:Once upon a time, there was a young woman named Kikuko\n", - "1:Once upon a time, there was a man called Blaise Pascal.\n", - "2:Once upon a time, there was a woman called Sallie.\n", - "\n", - "3:Once upon a time, in the middle of 1980s,\n", - "4:Once upon a time there was a little girl called Tinga, she\n", - "\n", - "positions tensor([[ 0, 1, 2, 3, 4, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 7, 7, 7,\n", - " 7, 7, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 11,\n", - " 11, 11, 11, 11, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 14, 14, 14, 14,\n", - " 14]], device='cuda:0')\n", - "\n", - "******....*....*....*....*....*....*....*....*....*....\n", - "*****.*....*....*....*....*....*....*....*....*....*...\n", - "*****..*....*....*....*....*....*....*....*....*....*..\n", - "*****...*....*....*....*....*....*....*....*....*....*.\n", - "*****....*....*....*....*....*....*....*....*....*....*\n", - "\n" - ] - } - ], - "source": [ - "# simple beam generation\n", - "input_ids=tokenizer(\"Once upon a time\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", - "\n", - "mask=lut_attn(input_ids.shape[1])\n", - "\n", - "print_args(input_ids,mask=mask)\n", - "\n", - "output=mdgen(model, input_ids,positions=None,mask=mask,n_branch=5,greedy=False)\n", - "\n", - "print_results(output)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [], - "source": [ - "def select_branch(output,selected_branch):\n", - " \"\"\"\n", - " Selects a specific branch from the output of the `mdgen` function.\n", - "\n", - " This function extracts the input IDs, position IDs, attention mask, and past key values\n", - " corresponding to the specified branch index from the output of the `mdgen` function.\n", - "\n", - " Args:\n", - " output (dict): The output dictionary from the `mdgen` function. It should contain:\n", - " - 'branch_ids' (torch.Tensor): Generated token IDs for each branch.\n", - " - 'positions' (torch.Tensor): Position encodings for each branch.\n", - " - 'mask' (torch.Tensor): Attention mask for each branch.\n", - " - 'past_key_values' (optional): Cached key-value pairs for efficient decoding.\n", - " branch_index (int): The index of the branch to select.\n", - "\n", - " Returns:\n", - " tuple: A tuple containing:\n", - " - input2_ids (torch.Tensor): The token IDs for the selected branch.\n", - " - position2_ids (torch.Tensor): The position encodings for the selected branch.\n", - " - mask2 (torch.Tensor): The attention mask for the selected branch.\n", - " - pkv (optional): The past key-value pairs for the selected branch, if available.\n", - "\n", - " Raises:\n", - " IndexError: If the specified branch index is out of range.\n", - "\n", - " Example:\n", - " input2_ids, position2_ids, mask2, pkv = select_branch(output, branch_index=1)\n", - " \"\"\"\n", - " pkv=output['past_key_values']\n", - " o_positions=output['positions']\n", - " o_mask=output['mask']\n", - " o_input_ids=output['input_ids']\n", - " o_initial_len=output['initial_length']\n", - " o_input_ids_len=o_input_ids.shape[1]\n", - " n_branch=output['n_branch']\n", - "\n", - " input_indexes=torch.cat([torch.arange(o_initial_len),torch.arange(o_initial_len+selected_branch,o_input_ids_len+1,n_branch,dtype=torch.int)],dim=-1)\n", - "\n", - " input2_ids=o_input_ids[:,input_indexes]\n", - " position2_ids=o_positions[:,input_indexes]\n", - " selected_len=(o_input_ids.shape[1]- o_initial_len)//n_branch\n", - " mask2=o_mask[:,:,selected_branch,input_indexes[:o_initial_len]].repeat([1,1,selected_len,1])\n", - " mask2=torch.cat([mask2,lut_attn(selected_len).to(model.device)],dim=-1)\n", - "\n", - " pkv.crop(o_initial_len)\n", - "\n", - " print(f\"{input2_ids.shape=} {position2_ids.shape=} {mask2.shape=} {pkv.get_seq_length()=}\")\n", - " return input2_ids,position2_ids, mask2, pkv" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ + "cell_type": "markdown", + "metadata": { + "id": "dpAKL4fT9IVy" + }, + "source": [ + "This notebook demonstrates a simple implementation of the MultiDecode algorithm. In this notebook the attention masks and position_ids are generated manually and then passed to mdgen for iterative token generation. A few simple examples are demonstrated.\n", + "- beam search\n", + "- parallel questions\n", + "- writing in the margins" + ] + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Arguments:\n", - "input_ids.shape=torch.Size([1, 5])\n", - "\n", - "*....\n", - "**...\n", - "***..\n", - "****.\n", - "*****\n", - "\n", - "\n", - "Results\n", - "raw\n", - ",, I in there was a was a very a man different girl. place called I, Grace was there. a was Grace Publisher a had and\n", - "\n", - "Reformated\n", - "0:Once upon a time, in a very different place, there was a\n", - "1:Once upon a time, there was a girl called Grace. Grace had\n", - "2:Once upon a time I was a man. I was a Publisher and\n", - "\n", - "positions tensor([[ 0, 1, 2, 3, 4, 5, 5, 5, 6, 6, 6, 7, 7, 7, 8, 8, 8, 9,\n", - " 9, 9, 10, 10, 10, 11, 11, 11, 12, 12, 12, 13, 13, 13, 14, 14, 14]],\n", - " device='cuda:0')\n", - "\n", - "******..*..*..*..*..*..*..*..*..*..\n", - "*****.*..*..*..*..*..*..*..*..*..*.\n", - "*****..*..*..*..*..*..*..*..*..*..*\n", - "\n", - "input2_ids.shape=torch.Size([1, 15]) position2_ids.shape=torch.Size([1, 15]) mask2.shape=torch.Size([1, 1, 10, 15]) pkv.get_seq_length()=5\n", - "\n", - "Arguments:\n", - "input_ids.shape=torch.Size([1, 15])\n", - "positions=tensor([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]],\n", - " device='cuda:0')\n", - "\n", - "******.........\n", - "*******........\n", - "********.......\n", - "*********......\n", - "**********.....\n", - "***********....\n", - "************...\n", - "*************..\n", - "**************.\n", - "***************\n", - "\n", - "\n", - "Results\n", - "raw\n", - " been been the a a most very friend beautiful happy of eyes girl mine.. for The She several colour grew years of up, her in and eyes\n", - "\n", - "Reformated\n", - "0:Once upon a time, there was a girl called Grace. Grace had been a very happy girl. She grew up in\n", - "1:Once upon a time, there was a girl called Grace. Grace had been a friend of mine for several years, and\n", - "2:Once upon a time, there was a girl called Grace. Grace had the most beautiful eyes. The colour of her eyes\n", - "\n", - "positions tensor([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 15, 15,\n", - " 16, 16, 16, 17, 17, 17, 18, 18, 18, 19, 19, 19, 20, 20, 20, 21, 21, 21,\n", - " 22, 22, 22, 23, 23, 23, 24, 24, 24]], device='cuda:0')\n", - "\n", - "****************..*..*..*..*..*..*..*..*..*..\n", - "***************.*..*..*..*..*..*..*..*..*..*.\n", - "***************..*..*..*..*..*..*..*..*..*..*\n", - "\n" - ] - } - ], - "source": [ - "# Example for using the select branch function\n", - "\n", - "input_ids=tokenizer(\"Once upon a time\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", - "mask=lut_attn(input_ids.shape[1])\n", - "\n", - "print_args(input_ids,mask=mask)\n", - "\n", - "input_len=input_ids.shape[1]\n", - "n_branch=3\n", - "output=mdgen(model, input_ids,positions=None,mask=mask,n_branch=n_branch,greedy=False)\n", - "print_results(output)\n", - "selected_branch=1\n", - "\n", - "\n", - "\n", - "input2_ids,position2_ids,mask2, pkv=select_branch(output,1)\n", - "\n", - "print_args(input2_ids,positions=position2_ids,mask=mask2)\n", - "\n", - "output=mdgen(model, input2_ids,positions=position2_ids,mask=mask2,n_branch=n_branch,greedy=False,past_key_values=pkv)\n", - "\n", - "print_results(output)\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ + "cell_type": "code", + "execution_count": 8, + "metadata": { + "id": "6DtlTMZr9IVz" + }, + "outputs": [], + "source": [ + "import os\n", + "# os.environ[\"CUDA_LAUNCH_BLOCKING\"] = \"1\"\n", + "\n", + "import copy\n", + "import time\n", + "from transformers import AutoTokenizer, AutoModelForCausalLM,AutoConfig\n", + "import torch\n", + "import transformers\n", + "import torch.nn.functional as F\n", + "from functools import partial\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt" + ] + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Arguments:\n", - "input_ids.shape=torch.Size([1, 31])\n", - "positions=tensor([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n", - " 18, 19, 20, 21, 22, 23, 17, 18, 19, 20, 21, 22, 23]])\n", - "\n", - "*..............................\n", - "**.............................\n", - "***............................\n", - "****...........................\n", - "*****..........................\n", - "******.........................\n", - "*******........................\n", - "********.......................\n", - "*********......................\n", - "**********.....................\n", - "***********....................\n", - "************...................\n", - "*************..................\n", - "**************.................\n", - "***************................\n", - "****************...............\n", - "*****************..............\n", - "******************.............\n", - "*******************............\n", - "********************...........\n", - "*********************..........\n", - "**********************.........\n", - "***********************........\n", - "************************.......\n", - "*****************.......*......\n", - "*****************.......**.....\n", - "*****************.......***....\n", - "*****************.......****...\n", - "*****************.......*****..\n", - "*****************.......******.\n", - "*****************.......*******\n", - "\n", - "\n", - "Results\n", - "raw\n", - " The The answer answer is is purple green.. The The bike grass is is purple green..\n", - "\n", - "Reformated\n", - "0:The house is red. The grass is green. The bike is purple. What color is the bike? The answer is purple. The bike is purple.\n", - "1:The house is red. The grass is green. The bike is purple. What color is the grass? The answer is green. The grass is green.\n", - "\n", - "positions tensor([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n", - " 18, 19, 20, 21, 22, 23, 17, 18, 19, 20, 21, 22, 23, 24, 24, 25, 25, 26,\n", - " 26, 27, 27, 28, 28, 29, 29, 30, 30, 31, 31, 32, 32, 33, 33]],\n", - " device='cuda:0')\n", - "\n", - "************************.......*.*.*.*.*.*.*.*.*.*.\n", - "*****************.......*******.*.*.*.*.*.*.*.*.*.*\n", - "\n" - ] - } - ], - "source": [ - "# Multi-question\n", - "context_ids=tokenizer(\"The house is red. The grass is green. The bike is purple. \", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device) \n", - "question1_ids=tokenizer(\"What color is the bike?\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", - "question2_ids=tokenizer(\"What color is the grass?\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", - "context_len=context_ids.shape[1]\n", - "question1_len=question1_ids.shape[1]\n", - "question2_len=question2_ids.shape[1]\n", - "\n", - "input_ids=torch.cat([context_ids,question1_ids,question2_ids],dim=-1)\n", - "\n", - "mask=lut_attn(input_ids.shape[1])\n", - "# mask out the first question from the view of the second question\n", - "mask[:,:,context_len+question1_len:,context_len:context_len+question1_len]=float('-inf')\n", - "\n", - "positions=torch.cat([torch.arange(context_len+question1_len),torch.arange(context_len,context_len+question2_len)]).unsqueeze(0)\n", - "branch_locations=[context_len+question1_len-1,context_len+question1_len+question2_len-1]\n", - "\n", - "print_args(input_ids,positions,mask)\n", - "\n", - "output=mdgen(model, input_ids,positions=positions,mask=mask,branch_locations=branch_locations,greedy=True)\n", - "\n", - "print_results(output)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ + "cell_type": "code", + "execution_count": 9, + "metadata": { + "id": "bKftGKTu9IV0" + }, + "outputs": [], + "source": [ + "# Log in to Hugging Face\n", + "\n", + "from huggingface_hub import login\n", + "try:\n", + " from google.colab import userdata\n", + " hf_token=userdata.get('huggingface')\n", + "except:\n", + " import os\n", + " import dotenv\n", + " dotenv.load_dotenv(\"../.env\")\n", + " hf_token=os.getenv('HUGGINGFACE')\n", + "\n", + "\n", + "login(token=hf_token)" + ] + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "context1_len=7 context2_len=12 question1_len=7 question2_len=7\n", - "positions=tensor([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n", - " 18, 7, 8, 9, 10, 11, 12, 13, 19, 20, 21, 22, 23, 24, 25]])\n", - "input_ids.shape=torch.Size([1, 33]) positions.shape=torch.Size([1, 33])\n", - "\n", - "Arguments:\n", - "input_ids.shape=torch.Size([1, 33])\n", - "positions=tensor([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n", - " 18, 7, 8, 9, 10, 11, 12, 13, 19, 20, 21, 22, 23, 24, 25]])\n", - "\n", - "*................................\n", - "**...............................\n", - "***..............................\n", - "****.............................\n", - "*****............................\n", - "******...........................\n", - "*******..........................\n", - "********.........................\n", - "*********........................\n", - "**********.......................\n", - "***********......................\n", - "************.....................\n", - "*************....................\n", - "**************...................\n", - "***************..................\n", - "****************.................\n", - "*****************................\n", - "******************...............\n", - "*******************..............\n", - "*******............*.............\n", - "*******............**............\n", - "*******............***...........\n", - "*******............****..........\n", - "*******............*****.........\n", - "*******............******........\n", - "*******............*******.......\n", - "*******************.......*......\n", - "*******************.......**.....\n", - "*******************.......***....\n", - "*******************.......****...\n", - "*******************.......*****..\n", - "*******************.......******.\n", - "*******************.......*******\n", - "\n", - "\n", - "Results\n", - "raw\n", - " The The house answer was is red blue.. The2 house. is What red color.\n", - "\n", - "Reformated\n", - "0:The house was red. What color is the bike? The house was red. 2. What color\n", - "1:The house was red. The grass was green. The bike was blue. What color is the bike? The answer is blue. The house is red.\n", - "\n", - "positions tensor([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n", - " 18, 7, 8, 9, 10, 11, 12, 13, 19, 20, 21, 22, 23, 24, 25, 14, 26, 15,\n", - " 27, 16, 28, 17, 29, 18, 30, 19, 31, 20, 32, 21, 33, 22, 34, 23, 35]],\n", - " device='cuda:0')\n", - "\n", - "*******............*******.......*.*.*.*.*.*.*.*.*.*.\n", - "*******************.......*******.*.*.*.*.*.*.*.*.*.*\n", - "\n" - ] - } - ], - "source": [ - "# Writing in the margins\n", - "context1_ids=tokenizer(\"The house was red. \", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", - "context2_ids=tokenizer(\"The grass was green. The bike was blue. \", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device) \n", - "question1_ids=tokenizer(\"What color is the bike?\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", - "question2_ids=tokenizer(\"What color is the bike?\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", - "context1_len=context1_ids.shape[1]\n", - "context2_len=context2_ids.shape[1]\n", - "question1_len=question1_ids.shape[1]\n", - "question2_len=question2_ids.shape[1]\n", - "print(f\"{context1_len=} {context2_len=} {question1_len=} {question2_len=}\")\n", - "\n", - "input_ids=torch.cat([context1_ids,context2_ids,question1_ids,question2_ids],dim=-1)\n", - "\n", - "# mask out the second context from the first question, and the first question from the view of the second question\n", - "mask=lut_attn(input_ids.shape[1])\n", - "mask[:,:,context1_len+context2_len:context1_len+context2_len+question1_len,context1_len:context1_len+context2_len]=float('-inf')\n", - "mask[:,:,context1_len+context2_len+question1_len:,context1_len+context2_len:context1_len+context2_len+question1_len]=float('-inf')\n", - "\n", - "\n", - "# make question 1 follow context1 and question 2 follow context2 \n", - "positions=torch.cat([\n", - " torch.arange(context1_len+context2_len),\n", - " torch.arange(context1_len,context1_len+question1_len),\n", - " torch.arange(context1_len+context2_len,context1_len+context2_len+question2_len)]).unsqueeze(0)\n", - "\n", - "print(f\"{positions=}\")\n", - "print(f\"{input_ids.shape=} {positions.shape=}\")\n", - "branch_locations=[context1_len+context2_len+question1_len-1,context1_len+context2_len+question1_len+question2_len-1]\n", - "\n", - "print_args(input_ids,positions,mask)\n", - "\n", - "output=mdgen(model, input_ids,positions=positions,mask=mask,branch_locations=branch_locations,greedy=True)\n", - "\n", - "print_results(output)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ + "cell_type": "code", + "execution_count": 10, + "metadata": { + "id": "dsr6U0zB9IV0" + }, + "outputs": [], + "source": [ + "def mdgen(model, input_ids,positions=None,mask=None,gen_len=10,n_branch=2,greedy=False,branch_locations=None,past_key_values=None):\n", + " \"\"\"\n", + " Implements the parallel generation of tokens using the multidecode technique.\n", + "\n", + " This function generates tokens in parallel by branching at specified positions in the input sequence.\n", + " It uses a model's forward pass to compute logits and generate tokens iteratively, either greedily or\n", + " through sampling. The generated tokens are accumulated and returned along with other relevant data.\n", + "\n", + " Args:\n", + " model (torch.nn.Module): The model used for token generation. Must support `forward` with caching.\n", + " input_ids (torch.Tensor): Input token IDs of shape (batch_size, ctx_len).\n", + " positions (torch.Tensor, optional): Position encodings for the input tokens. If None, defaults to\n", + " sequential positions [0, 1, ..., ctx_len-1]. Shape must match `input_ids`.\n", + " mask (torch.Tensor): Attention mask of shape (batch_size, ctx_len, ctx_len). Controls which tokens\n", + " the model attends to during prefill.\n", + " gen_len (int, optional): Number of tokens to generate. Defaults to 10.\n", + " n_branch (int, optional): Number of parallel branches for token generation. Defaults to 2.\n", + " greedy (bool, optional): If True, selects the most probable token at each step. If False, samples\n", + " tokens based on probabilities. Defaults to False.\n", + " branch_locations (list, optional): List of positions where branches start. If None, defaults to\n", + " the end of the input context.\n", + "\n", + " Returns:\n", + " dict: A dictionary containing:\n", + " - 'branch_ids' (torch.Tensor): Generated token IDs for each branch, reshaped to (n_branch, batch_size).\n", + " - 'mask' (torch.Tensor): Final attention mask after generation.\n", + " - 'output_ids' (torch.Tensor): All generated token IDs concatenated sequentially.\n", + " - 'input_ids' (torch.Tensor): Original input token IDs.\n", + " - 'positions' (torch.Tensor): Position encodings for all tokens, including generated ones.\n", + "\n", + " Raises:\n", + " AssertionError: If `positions` shape does not match `input_ids` shape.\n", + "\n", + " Example:\n", + " output = mdgen(\n", + " model=my_model,\n", + " input_ids=torch.tensor([[1, 2, 3]]),\n", + " mask=torch.ones(1, 3, 3),\n", + " gen_len=5,\n", + " n_branch=2,\n", + " greedy=True\n", + " )\n", + " print(output['branch_ids'])\n", + " \"\"\"\n", + "\n", + " past_len=0 if past_key_values is None else past_key_values.get_seq_length()\n", + "\n", + " if positions is not None:\n", + " assert input_ids.shape == positions.shape,\"positions.shape must match input_ids.shape\"\n", + " #assert mask.shape[2]==input_ids.shape[1],\"length of attn mask must match input length\"\n", + "\n", + "\n", + " batch_size,ctx_len=input_ids.shape\n", + "\n", + " # every cycle we add n_branch more tokens, so the end of the 4D attention mask is a diagonal. Create here and reuse below\n", + " gen_mask = torch.where(torch.eye(n_branch) == 1, torch.tensor(0.0), torch.tensor(float('-inf'))).unsqueeze(0).unsqueeze(0).to(model.device)\n", + "\n", + " # position information of the initial context input_ids. If None assume 0..ctx_len\n", + " if positions is None:\n", + " positions=torch.arange(ctx_len,dtype=torch.int).unsqueeze(0)\n", + " positions=positions.to(model.device)\n", + " position_history=copy.copy(positions)\n", + "\n", + "\n", + " # if branch location is not specified, assume all branches start at the end of the context\n", + " if branch_locations is None:\n", + " branch_locations=[ctx_len-1]*n_branch\n", + "\n", + " assert all(bl>past_len for bl in branch_locations),\"Branches must start with new input_ids, not from past_key_values.\"\n", + "\n", + " # the position encoding of the first generated token is just after the branch location position encoding\n", + " tmp=[int(positions[0,x]) for x in branch_locations]\n", + " gen_positions=torch.tensor(tmp).unsqueeze(0).to(model.device)\n", + "\n", + "\n", + " # we will accumulate the generated tokens into output_ids\n", + " output_ids=torch.empty((batch_size,0),dtype=torch.int).to(model.device)\n", + "\n", + " # move remaining tensors to model.device\n", + " mask=mask.to(model.device)\n", + " input_ids=input_ids.to(model.device)\n", + " initial_length=input_ids.shape[1]\n", + " pkv=past_key_values\n", + "\n", + " with torch.no_grad():\n", + " # first step is to prefill the context and generate pkv\n", + " output=model.forward(input_ids=input_ids[:,past_len:],position_ids=positions[:,past_len:] ,attention_mask=mask, use_cache=True,past_key_values=pkv)\n", + " pkv = output.past_key_values\n", + "\n", + " # get logits from the locations where the branches fork\n", + " branch_locations=torch.tensor(branch_locations,dtype=torch.int)\n", + "\n", + " # branch locations are relative to full input sequence,\n", + " # so we subtrack the pkv length\n", + " logits=output['logits'][:,branch_locations-past_len,:]\n", + " mask = mask[:,:,branch_locations-past_len,:]\n", + "\n", + " for i in range(gen_len):\n", + " # select tokens, greedy or not\n", + " next_token_probs = F.softmax(logits / 0.7, dim=-1)\n", + " if greedy:\n", + " tokens = torch.argmax(next_token_probs,dim=-1)\n", + " else:\n", + " samples = torch.multinomial(next_token_probs.view(-1,next_token_probs.shape[-1]), num_samples=1, replacement=True).view(batch_size,n_branch)\n", + " tokens = samples.squeeze(-1)\n", + "\n", + " # save the generated tokens\n", + " output_ids=torch.cat([output_ids,tokens],dim=-1)\n", + " mask=torch.cat([mask,gen_mask],dim=-1)\n", + "\n", + " # Generate n_branch new tokens.\n", + " output=model.forward(input_ids=tokens,position_ids=gen_positions ,attention_mask=mask, past_key_values=pkv, use_cache=True)\n", + " logits=output['logits']\n", + " pkv = output['past_key_values']\n", + "\n", + " # increment the position information for the next token\n", + " gen_positions+=1\n", + "\n", + " position_history=torch.cat([position_history,gen_positions],dim=-1)\n", + "\n", + " # restruture the results to have n_branch sequences\n", + " branch_ids=output_ids.view(-1,n_branch,1).permute(2,1,0).squeeze(-1)\n", + " full_ids=torch.cat([input_ids,output_ids],dim=-1)\n", + " return {'branch_ids':branch_ids,'mask':mask,'output_ids':output_ids,'input_ids':full_ids,\n", + " 'n_branch':n_branch,'initial_length':initial_length,'positions':position_history,'past_key_values':pkv}\n", + "\n", + "\n" + ] + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Arguments:\n", - "input_ids.shape=torch.Size([1, 6])\n", - "\n", - "*.....\n", - "**....\n", - "***...\n", - "****..\n", - "*****.\n", - "******\n", - "\n", - "\n", - "Results\n", - "raw\n", - " 2\n", - "\n", - "Reformated\n", - "0:5 - 3 = 2\n", - "\n", - "positions tensor([[0, 1, 2, 3, 4, 5, 6, 7]], device='cuda:0')\n", - "\n", - "********\n", - "\n", - "0:5 - 3 = 2\n" - ] - } - ], - "source": [ - "# Teds example part 1\n", - "input_ids=tokenizer(\"5 - 3 =\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", - "\n", - "mask=lut_attn(input_ids.shape[1])\n", - "\n", - "print_args(input_ids,mask=mask)\n", - "\n", - "output=mdgen(model, input_ids,mask=mask,n_branch=1,gen_len=2,greedy=True)\n", - "\n", - "print_results(output)\n", - "print_full(output)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ + "cell_type": "code", + "execution_count": 11, + "metadata": { + "id": "ihHIB0289IV1" + }, + "outputs": [], + "source": [ + "#Helpful utilities\n", + "def print_branches(branch_ids):\n", + " branch_ids=branch_ids.cpu()\n", + " for sidx,branches in enumerate(branch_ids):\n", + " for bidx,branch_ids in enumerate(branches):\n", + " ids=branch_ids\n", + " print(f\"{sidx}.{bidx}: {''.join(tokenizer.batch_decode(ids, skip_special_tokens=True))}\")\n", + "\n", + "def print_mask(mask):\n", + " for i in range(mask.shape[2]):\n", + " for j in range(mask.shape[3]):\n", + " print('*' if mask[0,0,i,j]==0. else '.',end=\"\")\n", + " print()\n", + "\n", + "def print_full(output):\n", + " full_ids=torch.cat([output['input_ids'],output['output_ids']],dim=-1)\n", + " # print(f\"{full_ids=}\")\n", + " # print(''.join(tokenizer.batch_decode(full_ids, skip_special_tokens=True)))\n", + " mask=output['mask']\n", + " for b in range(mask.shape[2]):\n", + " branch_full_ids=[]\n", + " for p in range(mask.shape[3]):\n", + " if mask[0,0,b,p] == 0.0:\n", + " branch_full_ids.append(int(full_ids[0,p]))\n", + " print(f\"{b}:{''.join(tokenizer.batch_decode(branch_full_ids, skip_special_tokens=True))}\")\n", + "\n", + "\n", + "def print_args(input_ids=None,positions=None,mask=None,branch_locations=None):\n", + " print()\n", + " print(\"Arguments:\")\n", + " print(f\"{input_ids.shape=}\")\n", + " if positions is not None:\n", + " print(f\"{positions=}\")\n", + " if branch_locations is not None:\n", + " print(f\"{branch_locations=}\")\n", + " print()\n", + " if mask is not None:\n", + " print_mask(mask)\n", + " print()\n", + "\n", + "def print_results(output):\n", + " print()\n", + " print(\"Results\")\n", + " print(\"raw\")\n", + " print(f\"{''.join(tokenizer.batch_decode(output['output_ids'], skip_special_tokens=True))}\")\n", + " print()\n", + " print(\"Reformated\")\n", + " print_full(output)\n", + " print()\n", + " print(f\"positions {output['positions']}\")\n", + " print()\n", + " print_mask(output['mask'])\n", + " print()\n", + "\n", + "def strmask(*args):\n", + " n_branch=len(args)\n", + " seq_len=len(args[0])\n", + " ret=torch.full((n_branch,seq_len),fill_value=float('-inf'))\n", + "\n", + " for b,arg in enumerate(args):\n", + " for i,v in enumerate(arg):\n", + " if v=='1' or v=='*':\n", + " ret[b,i]=0\n", + " return ret.unsqueeze(0).unsqueeze(0)\n", + "\n", + "def lut_attn(n):\n", + " ''''\n", + "\n", + " Returns a lower triangle array with dimensions and values suitable for an attention mask\n", + " dimension: [1,1,n,n]\n", + " values: 0 in lower triangle and diagonal\n", + " -inf in upper triangle\n", + "\n", + " '''\n", + " return torch.where(torch.tril(torch.ones(n,n)) == 1, torch.tensor(0.0), torch.tensor(float('-inf'))).unsqueeze(0).unsqueeze(0)" + ] + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "original_ids.cpu()=tensor([[128000, 20, 482, 220, 18, 284]])\n", - "input_ids.cpu()=tensor([[128000, 20, 284, 482, 220, 18]])\n", - "\n", - "Arguments:\n", - "input_ids.shape=torch.Size([1, 6])\n", - "positions=tensor([[0, 1, 5, 2, 3, 4]], dtype=torch.int32)\n", - "\n", - "*.....\n", - "**....\n", - "******\n", - "**.*..\n", - "**.**.\n", - "**.***\n", - "\n", - "\n", - "Results\n", - "raw\n", - " 2\n", - "\n", - "Reformated\n", - "0:5 = - 3 2\n", - "\n", - "positions tensor([[0, 1, 5, 2, 3, 4, 6, 7]], device='cuda:0')\n", - "\n", - "********\n", - "\n", - "0:5 = - 3 2\n" - ] - } - ], - "source": [ - "# Teds example part 2\n", - "original_ids=tokenizer(\"5 - 3 =\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", - "print(f\"{original_ids.cpu()=}\")\n", - "input_ids=tokenizer(\"5 = - 3\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", - "print(f\"{input_ids.cpu()=}\")\n", - "\n", - "\n", - "mask=strmask(\"*.....\",\"**....\",\"******\",\"**.*..\",\"**.**.\",\"**.***\")\n", - "\n", - "order=torch.tensor([0, 1, 3, 4, 5, 2])\n", - "\n", - "positions=torch.tensor([[0, 1, 5, 2,3,4]],dtype=torch.int)\n", - "branch_locations=[2]\n", - "\n", - "print_args(input_ids,mask=mask,positions=positions)\n", - "\n", - "output=mdgen(model, input_ids,positions=positions,mask=mask,branch_locations=branch_locations,n_branch=1,gen_len=2,greedy=True)\n", - "\n", - "print_results(output)\n", - "print_full(output)" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [], - "source": [ - "def select_branch(output,selected_branch):\n", - " \"\"\"\n", - " Selects a specific branch from the output of the `mdgen` function.\n", - "\n", - " This function extracts the input IDs, position IDs, attention mask, and past key values\n", - " corresponding to the specified branch index from the output of the `mdgen` function.\n", - "\n", - " Args:\n", - " output (dict): The output dictionary from the `mdgen` function. It should contain:\n", - " - 'branch_ids' (torch.Tensor): Generated token IDs for each branch.\n", - " - 'positions' (torch.Tensor): Position encodings for each branch.\n", - " - 'mask' (torch.Tensor): Attention mask for each branch.\n", - " - 'past_key_values' (optional): Cached key-value pairs for efficient decoding.\n", - " branch_index (int): The index of the branch to select.\n", - "\n", - " Returns:\n", - " tuple: A tuple containing:\n", - " - input2_ids (torch.Tensor): The token IDs for the selected branch.\n", - " - position2_ids (torch.Tensor): The position encodings for the selected branch.\n", - " - mask2 (torch.Tensor): The attention mask for the selected branch.\n", - " - pkv (optional): The past key-value pairs for the selected branch, if available.\n", - "\n", - " Raises:\n", - " IndexError: If the specified branch index is out of range.\n", - "\n", - " Example:\n", - " input2_ids, position2_ids, mask2, pkv = select_branch(output, branch_index=1)\n", - " \"\"\"\n", - " pkv=output['past_key_values']\n", - " o_positions=output['positions']\n", - " o_mask=output['mask']\n", - " o_input_ids=output['input_ids']\n", - " o_initial_len=output['initial_length']\n", - " o_input_ids_len=o_input_ids.shape[1]\n", - "\n", - " input_indexes=torch.cat([torch.arange(o_initial_len),torch.arange(o_initial_len+selected_branch,o_input_ids_len+1,n_branch,dtype=torch.int)],dim=-1)\n", - "\n", - " input2_ids=o_input_ids[:,input_indexes]\n", - " position2_ids=o_positions[:,input_indexes]\n", - " selected_len=(o_input_ids.shape[1]- o_initial_len)//n_branch\n", - " mask2=o_mask[:,:,selected_branch,input_indexes[:o_initial_len]].repeat([1,1,selected_len,1])\n", - " mask2=torch.cat([mask2,lut_attn(selected_len).to(model.device)],dim=-1)\n", - "\n", - " pkv.crop(o_initial_len)\n", - "\n", - " print(f\"{input2_ids.shape=} {position2_ids.shape=} {mask2.shape=} {pkv.get_seq_length()=}\")\n", - " return input2_ids,position2_ids, mask2, pkv" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ + "cell_type": "code", + "execution_count": 12, + "metadata": { + "id": "MIwY5gyv9IV2" + }, + "outputs": [], + "source": [ + "#Initialize model\n", + "model_name=\"meta-llama/Llama-3.2-1B\"\n", + "\n", + "tokenizer = AutoTokenizer.from_pretrained(model_name,padding_side='left')\n", + "tokenizer.pad_token_id=tokenizer.eos_token_id\n", + "\n", + "model = AutoModelForCausalLM.from_pretrained(model_name)#,attn_implementation=\"flex_attention\")\n", + "model = model.to(\"cuda\" if torch.cuda.is_available() else \"cpu\") # Use GPU if available" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "JZe80UnJ9IV2", + "outputId": "fbe80c73-cbc6-45e6-d6b3-0ede9af9a3ed" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Arguments:\n", + "input_ids.shape=torch.Size([1, 5])\n", + "\n", + "*....\n", + "**...\n", + "***..\n", + "****.\n", + "*****\n", + "\n", + "\n", + "Results\n", + "raw\n", + ", in,, there there the there an was were German was idea a twoic a was little companion kingdoms man born boy animals there called in who who was John the lived were a. heart in more king He of the than who had a heart\n", + "\n", + "Reformated\n", + "0:Once upon a time, there were two companion animals who were more than\n", + "1:Once upon a time in the Germanic kingdoms there was a king who\n", + "2:Once upon a time, there was a man called John. He had\n", + "3:Once upon a time, an idea was born in the heart of a\n", + "4:Once upon a time there was a little boy who lived in the heart\n", + "\n", + "positions tensor([[ 0, 1, 2, 3, 4, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 7, 7, 7,\n", + " 7, 7, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 11,\n", + " 11, 11, 11, 11, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 14, 14, 14, 14,\n", + " 14]], device='cuda:0')\n", + "\n", + "******....*....*....*....*....*....*....*....*....*....\n", + "*****.*....*....*....*....*....*....*....*....*....*...\n", + "*****..*....*....*....*....*....*....*....*....*....*..\n", + "*****...*....*....*....*....*....*....*....*....*....*.\n", + "*****....*....*....*....*....*....*....*....*....*....*\n", + "\n" + ] + } + ], + "source": [ + "# simple beam generation\n", + "input_ids=tokenizer(\"Once upon a time\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", + "\n", + "mask=lut_attn(input_ids.shape[1])\n", + "\n", + "print_args(input_ids,mask=mask)\n", + "\n", + "output=mdgen(model, input_ids,positions=None,mask=mask,n_branch=5,greedy=False)\n", + "\n", + "print_results(output)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "GXDazZl09IV3", + "outputId": "11db450d-b81c-46c3-e8d0-3e3db5d3f570" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Arguments:\n", + "input_ids.shape=torch.Size([1, 31])\n", + "positions=tensor([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n", + " 18, 19, 20, 21, 22, 23, 17, 18, 19, 20, 21, 22, 23]])\n", + "\n", + "*..............................\n", + "**.............................\n", + "***............................\n", + "****...........................\n", + "*****..........................\n", + "******.........................\n", + "*******........................\n", + "********.......................\n", + "*********......................\n", + "**********.....................\n", + "***********....................\n", + "************...................\n", + "*************..................\n", + "**************.................\n", + "***************................\n", + "****************...............\n", + "*****************..............\n", + "******************.............\n", + "*******************............\n", + "********************...........\n", + "*********************..........\n", + "**********************.........\n", + "***********************........\n", + "************************.......\n", + "*****************.......*......\n", + "*****************.......**.....\n", + "*****************.......***....\n", + "*****************.......****...\n", + "*****************.......*****..\n", + "*****************.......******.\n", + "*****************.......*******\n", + "\n", + "\n", + "Results\n", + "raw\n", + " The The answer answer is is purple green.. The The bike grass is is purple green..\n", + "\n", + "Reformated\n", + "0:The house is red. The grass is green. The bike is purple. What color is the bike? The answer is purple. The bike is purple.\n", + "1:The house is red. The grass is green. The bike is purple. What color is the grass? The answer is green. The grass is green.\n", + "\n", + "positions tensor([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n", + " 18, 19, 20, 21, 22, 23, 17, 18, 19, 20, 21, 22, 23, 24, 24, 25, 25, 26,\n", + " 26, 27, 27, 28, 28, 29, 29, 30, 30, 31, 31, 32, 32, 33, 33]],\n", + " device='cuda:0')\n", + "\n", + "************************.......*.*.*.*.*.*.*.*.*.*.\n", + "*****************.......*******.*.*.*.*.*.*.*.*.*.*\n", + "\n" + ] + } + ], + "source": [ + "# Multi-question\n", + "context_ids=tokenizer(\"The house is red. The grass is green. The bike is purple. \", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", + "question1_ids=tokenizer(\"What color is the bike?\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", + "question2_ids=tokenizer(\"What color is the grass?\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", + "context_len=context_ids.shape[1]\n", + "question1_len=question1_ids.shape[1]\n", + "question2_len=question2_ids.shape[1]\n", + "\n", + "input_ids=torch.cat([context_ids,question1_ids,question2_ids],dim=-1)\n", + "\n", + "mask=lut_attn(input_ids.shape[1])\n", + "# mask out the first question from the view of the second question\n", + "mask[:,:,context_len+question1_len:,context_len:context_len+question1_len]=float('-inf')\n", + "\n", + "positions=torch.cat([torch.arange(context_len+question1_len),torch.arange(context_len,context_len+question2_len)]).unsqueeze(0)\n", + "branch_locations=[context_len+question1_len-1,context_len+question1_len+question2_len-1]\n", + "\n", + "print_args(input_ids,positions,mask)\n", + "\n", + "output=mdgen(model, input_ids,positions=positions,mask=mask,branch_locations=branch_locations,greedy=True)\n", + "\n", + "print_results(output)\n" + ] + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Arguments:\n", - "input_ids.shape=torch.Size([1, 5])\n", - "\n", - "*....\n", - "**...\n", - "***..\n", - "****.\n", - "*****\n", - "\n" - ] + "cell_type": "code", + "execution_count": 15, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "q0_Zaz-E9IV4", + "outputId": "5a617f51-a6d9-4e83-cc71-c7457aa2ded8" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "context1_len=7 context2_len=12 question1_len=7 question2_len=7\n", + "positions=tensor([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n", + " 18, 7, 8, 9, 10, 11, 12, 13, 19, 20, 21, 22, 23, 24, 25]])\n", + "input_ids.shape=torch.Size([1, 33]) positions.shape=torch.Size([1, 33])\n", + "\n", + "Arguments:\n", + "input_ids.shape=torch.Size([1, 33])\n", + "positions=tensor([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n", + " 18, 7, 8, 9, 10, 11, 12, 13, 19, 20, 21, 22, 23, 24, 25]])\n", + "\n", + "*................................\n", + "**...............................\n", + "***..............................\n", + "****.............................\n", + "*****............................\n", + "******...........................\n", + "*******..........................\n", + "********.........................\n", + "*********........................\n", + "**********.......................\n", + "***********......................\n", + "************.....................\n", + "*************....................\n", + "**************...................\n", + "***************..................\n", + "****************.................\n", + "*****************................\n", + "******************...............\n", + "*******************..............\n", + "*******............*.............\n", + "*******............**............\n", + "*******............***...........\n", + "*******............****..........\n", + "*******............*****.........\n", + "*******............******........\n", + "*******............*******.......\n", + "*******************.......*......\n", + "*******************.......**.....\n", + "*******************.......***....\n", + "*******************.......****...\n", + "*******************.......*****..\n", + "*******************.......******.\n", + "*******************.......*******\n", + "\n", + "\n", + "Results\n", + "raw\n", + " The The house answer was is red blue.. The2 house. is What red color.\n", + "\n", + "Reformated\n", + "0:The house was red. What color is the bike? The house was red. 2. What color\n", + "1:The house was red. The grass was green. The bike was blue. What color is the bike? The answer is blue. The house is red.\n", + "\n", + "positions tensor([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n", + " 18, 7, 8, 9, 10, 11, 12, 13, 19, 20, 21, 22, 23, 24, 25, 14, 26, 15,\n", + " 27, 16, 28, 17, 29, 18, 30, 19, 31, 20, 32, 21, 33, 22, 34, 23, 35]],\n", + " device='cuda:0')\n", + "\n", + "*******............*******.......*.*.*.*.*.*.*.*.*.*.\n", + "*******************.......*******.*.*.*.*.*.*.*.*.*.*\n", + "\n" + ] + } + ], + "source": [ + "# Writing in the margins\n", + "context1_ids=tokenizer(\"The house was red. \", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", + "context2_ids=tokenizer(\"The grass was green. The bike was blue. \", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", + "question1_ids=tokenizer(\"What color is the bike?\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", + "question2_ids=tokenizer(\"What color is the bike?\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", + "context1_len=context1_ids.shape[1]\n", + "context2_len=context2_ids.shape[1]\n", + "question1_len=question1_ids.shape[1]\n", + "question2_len=question2_ids.shape[1]\n", + "print(f\"{context1_len=} {context2_len=} {question1_len=} {question2_len=}\")\n", + "\n", + "input_ids=torch.cat([context1_ids,context2_ids,question1_ids,question2_ids],dim=-1)\n", + "\n", + "# mask out the second context from the first question, and the first question from the view of the second question\n", + "mask=lut_attn(input_ids.shape[1])\n", + "mask[:,:,context1_len+context2_len:context1_len+context2_len+question1_len,context1_len:context1_len+context2_len]=float('-inf')\n", + "mask[:,:,context1_len+context2_len+question1_len:,context1_len+context2_len:context1_len+context2_len+question1_len]=float('-inf')\n", + "\n", + "\n", + "# make question 1 follow context1 and question 2 follow context2\n", + "positions=torch.cat([\n", + " torch.arange(context1_len+context2_len),\n", + " torch.arange(context1_len,context1_len+question1_len),\n", + " torch.arange(context1_len+context2_len,context1_len+context2_len+question2_len)]).unsqueeze(0)\n", + "\n", + "print(f\"{positions=}\")\n", + "print(f\"{input_ids.shape=} {positions.shape=}\")\n", + "branch_locations=[context1_len+context2_len+question1_len-1,context1_len+context2_len+question1_len+question2_len-1]\n", + "\n", + "print_args(input_ids,positions,mask)\n", + "\n", + "output=mdgen(model, input_ids,positions=positions,mask=mask,branch_locations=branch_locations,greedy=True)\n", + "\n", + "print_results(output)\n" + ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Results\n", - "raw\n", - " in, there the a was world long a of time little Architecture ago girl and,, fashion there who, was would two a have of farmer been\n", - "\n", - "Reformated\n", - "0:Once upon a time in the world of Architecture and fashion, two of\n", - "1:Once upon a time, a long time ago, there was a farmer\n", - "2:Once upon a time there was a little girl, who would have been\n", - "\n", - "positions tensor([[ 0, 1, 2, 3, 4, 5, 5, 5, 6, 6, 6, 7, 7, 7, 8, 8, 8, 9,\n", - " 9, 9, 10, 10, 10, 11, 11, 11, 12, 12, 12, 13, 13, 13, 14, 14, 14]],\n", - " device='cuda:0')\n", - "\n", - "******..*..*..*..*..*..*..*..*..*..\n", - "*****.*..*..*..*..*..*..*..*..*..*.\n", - "*****..*..*..*..*..*..*..*..*..*..*\n", - "\n", - "input2_ids.shape=torch.Size([1, 15]) position2_ids.shape=torch.Size([1, 15]) mask2.shape=torch.Size([1, 1, 10, 15]) pkv.get_seq_length()=5\n", - "\n", - "Arguments:\n", - "input_ids.shape=torch.Size([1, 15])\n", - "positions=tensor([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]],\n", - " device='cuda:0')\n", - "\n", - "******.........\n", - "*******........\n", - "********.......\n", - "*********......\n", - "**********.....\n", - "***********....\n", - "************...\n", - "*************..\n", - "**************.\n", - "***************\n", - "\n", - "\n", - "Results\n", - "raw\n", - " who who who went was had to very a the hungry very market. large and He, bought was very a a hungry cow very cow. big.\n", - "\n", - "Reformated\n", - "0:Once upon a time, a long time ago, there was a farmer who went to the market and bought a cow.\n", - "1:Once upon a time, a long time ago, there was a farmer who was very hungry. He was a very big\n", - "2:Once upon a time, a long time ago, there was a farmer who had a very large, very hungry cow.\n", - "\n", - "positions tensor([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 15, 15,\n", - " 16, 16, 16, 17, 17, 17, 18, 18, 18, 19, 19, 19, 20, 20, 20, 21, 21, 21,\n", - " 22, 22, 22, 23, 23, 23, 24, 24, 24]], device='cuda:0')\n", - "\n", - "****************..*..*..*..*..*..*..*..*..*..\n", - "***************.*..*..*..*..*..*..*..*..*..*.\n", - "***************..*..*..*..*..*..*..*..*..*..*\n", - "\n" - ] + "cell_type": "code", + "execution_count": 16, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "_-VH3gei9IV4", + "outputId": "3ba1f326-d80b-4e03-d905-002860ae7cb1" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Arguments:\n", + "input_ids.shape=torch.Size([1, 6])\n", + "\n", + "*.....\n", + "**....\n", + "***...\n", + "****..\n", + "*****.\n", + "******\n", + "\n", + "\n", + "Results\n", + "raw\n", + " 2\n", + "\n", + "Reformated\n", + "0:5 - 3 = 2\n", + "\n", + "positions tensor([[0, 1, 2, 3, 4, 5, 6, 7]], device='cuda:0')\n", + "\n", + "********\n", + "\n", + "0:5 - 3 = 2\n" + ] + } + ], + "source": [ + "# Teds example part 1\n", + "input_ids=tokenizer(\"5 - 3 =\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", + "\n", + "mask=lut_attn(input_ids.shape[1])\n", + "\n", + "print_args(input_ids,mask=mask)\n", + "\n", + "output=mdgen(model, input_ids,mask=mask,n_branch=1,gen_len=2,greedy=True)\n", + "\n", + "print_results(output)\n", + "print_full(output)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "EWPBbggS9IV4", + "outputId": "946bc21e-7ec3-496d-e134-4b55adab3c1d" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "original_ids.cpu()=tensor([[128000, 20, 482, 220, 18, 284]])\n", + "input_ids.cpu()=tensor([[128000, 20, 284, 482, 220, 18]])\n", + "\n", + "Arguments:\n", + "input_ids.shape=torch.Size([1, 6])\n", + "positions=tensor([[0, 1, 5, 2, 3, 4]], dtype=torch.int32)\n", + "\n", + "*.....\n", + "**....\n", + "******\n", + "**.*..\n", + "**.**.\n", + "**.***\n", + "\n", + "\n", + "Results\n", + "raw\n", + " 2\n", + "\n", + "Reformated\n", + "0:5 = - 3 2\n", + "\n", + "positions tensor([[0, 1, 5, 2, 3, 4, 6, 7]], device='cuda:0')\n", + "\n", + "********\n", + "\n", + "0:5 = - 3 2\n" + ] + } + ], + "source": [ + "# Teds example part 2\n", + "original_ids=tokenizer(\"5 - 3 =\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", + "print(f\"{original_ids.cpu()=}\")\n", + "input_ids=tokenizer(\"5 = - 3\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", + "print(f\"{input_ids.cpu()=}\")\n", + "\n", + "\n", + "mask=strmask(\"*.....\",\"**....\",\"******\",\"**.*..\",\"**.**.\",\"**.***\")\n", + "\n", + "order=torch.tensor([0, 1, 3, 4, 5, 2])\n", + "\n", + "positions=torch.tensor([[0, 1, 5, 2,3,4]],dtype=torch.int)\n", + "branch_locations=[2]\n", + "\n", + "print_args(input_ids,mask=mask,positions=positions)\n", + "\n", + "output=mdgen(model, input_ids,positions=positions,mask=mask,branch_locations=branch_locations,n_branch=1,gen_len=2,greedy=True)\n", + "\n", + "print_results(output)\n", + "print_full(output)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "id": "fZBlTElX9IV4" + }, + "outputs": [], + "source": [ + "def select_branch(output,selected_branch):\n", + " \"\"\"\n", + " Selects a specific branch from the output of the `mdgen` function.\n", + "\n", + " This function extracts the input IDs, position IDs, attention mask, and past key values\n", + " corresponding to the specified branch index from the output of the `mdgen` function.\n", + "\n", + " Args:\n", + " output (dict): The output dictionary from the `mdgen` function. It should contain:\n", + " - 'branch_ids' (torch.Tensor): Generated token IDs for each branch.\n", + " - 'positions' (torch.Tensor): Position encodings for each branch.\n", + " - 'mask' (torch.Tensor): Attention mask for each branch.\n", + " - 'past_key_values' (optional): Cached key-value pairs for efficient decoding.\n", + " branch_index (int): The index of the branch to select.\n", + "\n", + " Returns:\n", + " tuple: A tuple containing:\n", + " - input2_ids (torch.Tensor): The token IDs for the selected branch.\n", + " - position2_ids (torch.Tensor): The position encodings for the selected branch.\n", + " - mask2 (torch.Tensor): The attention mask for the selected branch.\n", + " - pkv (optional): The past key-value pairs for the selected branch, if available.\n", + "\n", + " Raises:\n", + " IndexError: If the specified branch index is out of range.\n", + "\n", + " Example:\n", + " input2_ids, position2_ids, mask2, pkv = select_branch(output, branch_index=1)\n", + " \"\"\"\n", + " pkv=output['past_key_values']\n", + " o_positions=output['positions']\n", + " o_mask=output['mask']\n", + " o_input_ids=output['input_ids']\n", + " o_initial_len=output['initial_length']\n", + " o_input_ids_len=o_input_ids.shape[1]\n", + "\n", + " input_indexes=torch.cat([torch.arange(o_initial_len),torch.arange(o_initial_len+selected_branch,o_input_ids_len+1,n_branch,dtype=torch.int)],dim=-1)\n", + "\n", + " input2_ids=o_input_ids[:,input_indexes]\n", + " position2_ids=o_positions[:,input_indexes]\n", + " selected_len=(o_input_ids.shape[1]- o_initial_len)//n_branch\n", + " mask2=o_mask[:,:,selected_branch,input_indexes[:o_initial_len]].repeat([1,1,selected_len,1])\n", + " mask2=torch.cat([mask2,lut_attn(selected_len).to(model.device)],dim=-1)\n", + "\n", + " pkv.crop(o_initial_len)\n", + "\n", + " print(f\"{input2_ids.shape=} {position2_ids.shape=} {mask2.shape=} {pkv.get_seq_length()=}\")\n", + " return input2_ids,position2_ids, mask2, pkv" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "SKN0r09S9IV5", + "outputId": "2b18afd3-5a46-494f-8015-0d2193fc3120" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Arguments:\n", + "input_ids.shape=torch.Size([1, 5])\n", + "\n", + "*....\n", + "**...\n", + "***..\n", + "****.\n", + "*****\n", + "\n", + "\n", + "Results\n", + "raw\n", + ",,, there there there was was lived a a a boy small happy who island, lived, peaceful in a and a small very small country productive\n", + "\n", + "Reformated\n", + "0:Once upon a time, there was a boy who lived in a small\n", + "1:Once upon a time, there was a small island, a small country\n", + "2:Once upon a time, there lived a happy, peaceful and very productive\n", + "\n", + "positions tensor([[ 0, 1, 2, 3, 4, 5, 5, 5, 6, 6, 6, 7, 7, 7, 8, 8, 8, 9,\n", + " 9, 9, 10, 10, 10, 11, 11, 11, 12, 12, 12, 13, 13, 13, 14, 14, 14]],\n", + " device='cuda:0')\n", + "\n", + "******..*..*..*..*..*..*..*..*..*..\n", + "*****.*..*..*..*..*..*..*..*..*..*.\n", + "*****..*..*..*..*..*..*..*..*..*..*\n", + "\n", + "input2_ids.shape=torch.Size([1, 15]) position2_ids.shape=torch.Size([1, 15]) mask2.shape=torch.Size([1, 1, 10, 15]) pkv.get_seq_length()=5\n", + "\n", + "Arguments:\n", + "input_ids.shape=torch.Size([1, 15])\n", + "positions=tensor([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]],\n", + " device='cuda:0')\n", + "\n", + "******.........\n", + "*******........\n", + "********.......\n", + "*********......\n", + "**********.....\n", + "***********....\n", + "************...\n", + "*************..\n", + "**************.\n", + "***************\n", + "\n", + "\n", + "Results\n", + "raw\n", + ", where called a there Iceland tiny was. nation no The. war people The, of island where Iceland’s people lived name gathered ordinary was, lives\n", + "\n", + "Reformated\n", + "0:Once upon a time, there was a small island, a small country, a tiny nation. The island’s name was\n", + "1:Once upon a time, there was a small island, a small country where there was no war, where people gathered,\n", + "2:Once upon a time, there was a small island, a small country called Iceland. The people of Iceland lived ordinary lives\n", + "\n", + "positions tensor([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 15, 15,\n", + " 16, 16, 16, 17, 17, 17, 18, 18, 18, 19, 19, 19, 20, 20, 20, 21, 21, 21,\n", + " 22, 22, 22, 23, 23, 23, 24, 24, 24]], device='cuda:0')\n", + "\n", + "****************..*..*..*..*..*..*..*..*..*..\n", + "***************.*..*..*..*..*..*..*..*..*..*.\n", + "***************..*..*..*..*..*..*..*..*..*..*\n", + "\n" + ] + } + ], + "source": [ + "# Example for using the select branch function\n", + "\n", + "input_ids=tokenizer(\"Once upon a time\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", + "mask=lut_attn(input_ids.shape[1])\n", + "\n", + "print_args(input_ids,mask=mask)\n", + "\n", + "input_len=input_ids.shape[1]\n", + "n_branch=3\n", + "output=mdgen(model, input_ids,positions=None,mask=mask,n_branch=n_branch,greedy=False)\n", + "print_results(output)\n", + "selected_branch=1\n", + "\n", + "\n", + "\n", + "input2_ids,position2_ids,mask2, pkv=select_branch(output,selected_branch)\n", + "\n", + "print_args(input2_ids,positions=position2_ids,mask=mask2)\n", + "\n", + "output=mdgen(model, input2_ids,positions=position2_ids,mask=mask2,n_branch=n_branch,greedy=False,past_key_values=pkv)\n", + "\n", + "print_results(output)\n", + "\n" + ] } - ], - "source": [ - "# Example for using the select branch function\n", - "\n", - "input_ids=tokenizer(\"Once upon a time\", return_tensors=\"pt\", padding=True, truncation=True)['input_ids'].to(model.device)\n", - "mask=lut_attn(input_ids.shape[1])\n", - "\n", - "print_args(input_ids,mask=mask)\n", - "\n", - "input_len=input_ids.shape[1]\n", - "n_branch=3\n", - "output=mdgen(model, input_ids,positions=None,mask=mask,n_branch=n_branch,greedy=False)\n", - "print_results(output)\n", - "selected_branch=1\n", - "\n", - "\n", - "\n", - "input2_ids,position2_ids,mask2, pkv=select_branch(output,1)\n", - "\n", - "print_args(input2_ids,positions=position2_ids,mask=mask2)\n", - "\n", - "output=mdgen(model, input2_ids,positions=position2_ids,mask=mask2,n_branch=n_branch,greedy=False,past_key_values=pkv)\n", - "\n", - "print_results(output)\n", - "\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "vllm", - "language": "python", - "name": "python3" + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.13" + }, + "colab": { + "provenance": [], + "gpuType": "T4", + "history_visible": true + }, + "accelerator": "GPU" }, - 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