エラー診断モデル(ラベル予測)mPyT5ベース

FineTune.sh.o40489474

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+GPU available: True (cuda), used: True
+TPU available: False, using: 0 TPU cores
+IPU available: False, using: 0 IPUs
+HPU available: False, using: 0 HPUs
+Downloading and preparing dataset json/default to /home/ace14459tv/t5maru/cache/json/default-4c66c2b66c128f21/0.0.0/e347ab1c932092252e717ff3f949105a4dd28b27e842dd53157d2f72e276c2e4...
+
+
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+
                                                        
+
                                                                         
+
+  | Name  | Type            | Params
+------------------------------------------
+0 | model | OptimizedModule | 300 M 
+------------------------------------------
+300 M     Trainable params
+0         Non-trainable params
+300 M     Total params
+1,200.707 Total estimated model params size (MB)
+[2023-08-25 17:16:53,951] torch._inductor.utils: [WARNING] using triton random, expect difference from eager
+Metric val_loss improved. New best score: 0.683
+Metric val_loss improved by 0.124 >= min_delta = 0.0. New best score: 0.559
+Metric val_loss improved by 0.106 >= min_delta = 0.0. New best score: 0.454
+Metric val_loss improved by 0.032 >= min_delta = 0.0. New best score: 0.422
+Metric val_loss improved by 0.040 >= min_delta = 0.0. New best score: 0.382
+Metric val_loss improved by 0.020 >= min_delta = 0.0. New best score: 0.363
+Monitored metric val_loss did not improve in the last 3 records. Best score: 0.363. Signaling Trainer to stop.
+{"log": "trained", "date": "2023-08-25T17:15:59", "elapsed": "00:04:12", "model": "Roy029/mpyt5_e20", "max_length": 128, "target_max_length": 128, "batch_size": 32, "gradient_accumulation_steps": 1, "train_steps": 2700, "accelerator": "gpu", "devices": "auto", "precision": 32, "strategy": "auto", "gradient_clip_val": 1.0, "compile": true, "solver": "adamw", "lr": 0.0003, "warmup_steps": 1, "training_steps": 100000, "adam_epsilon": 1e-08, "weight_decay": 0.0, "epoch": 11, "step": 990, "saved": "error_label_mPyT5"}
+😊 testing /home/ace14459tv/t5maru/error_label_test.jsonl on cuda
+Downloading and preparing dataset generator/default to /home/ace14459tv/t5maru/cache/generator/default-86c49a273729eafb/0.0.0...
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added_tokens.json

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+{
+  "</b>": 250100
+}

config.json

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+{
+  "_name_or_path": "Roy029/mpyt5_e20",
+  "architectures": [
+    "MT5ForConditionalGeneration"
+  ],
+  "d_ff": 1024,
+  "d_kv": 64,
+  "d_model": 512,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "mt5",
+  "num_decoder_layers": 8,
+  "num_heads": 6,
+  "num_layers": 8,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1",
+  "use_cache": true,
+  "vocab_size": 250112
+}

error_label_tested.jsonl

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+{"in": "model =Pipeline()<sep>TypeError: __init__() missing 1 required positional argument: 'steps'", "out": "27", "pred": "27"}
+{"in": "sklearn.preprocessing.StackingClassifier()<sep>NameError: name 'sklearn' is not defined", "out": "12", "pred": "12"}
+{"in": "plt.plot(xlabel,ylabel)<sep>NameError: name 'xlabel' is not defined", "out": "60", "pred": "60"}
+{"in": "rho = corr(df[column], df['y'])<sep>NameError: name 'corr' is not defined", "out": "147", "pred": "147"}
+{"in": "x = list(map(int(input().split())))<sep>TypeError: int() argument must be a string, a bytes-like object or a number, not 'list'", "out": "144", "pred": "144"}
+{"in": "print(ab)<sep>NameError: name 'ab' is not defined", "out": "64", "pred": "60"}
+{"in": "rho = corr(df[column], df['住宅価格'])<sep>NameError: name 'corr' is not defined", "out": "147", "pred": "147"}
+{"in": "X = df[['year','month', 'week_num', 'temperature', 'remarks_num']]<sep>KeyError: \"['week_num', 'remarks_num'] not in index\"", "out": "69", "pred": "69"}
+{"in": "a, b, c, d = map(int, print().split())<sep>AttributeError: 'NoneType' object has no attribute 'split'", "out": "45", "pred": "45"}
+{"in": "X = train[[\"likes\",\"dislike\", \"comment_count\"]]<sep>KeyError: \"['dislike'] not in index\"", "out": "69", "pred": "69"}
+{"in": "if d==11 or d==22 or d==33 ord==44:<sep>SyntaxError: invalid syntax (<ipython-input>, line 7)", "out": "86", "pred": "86"}
+{"in": "for key, df_name in df.groupby('あん'):<sep>KeyError: 'あん'", "out": "69", "pred": "69"}
+{"in": "continueif<sep>NameError: name 'continueif' is not defined", "out": "11", "pred": "11"}
+{"in": ", 'CHEST PAIN']]<sep>SyntaxError: invalid syntax (<ipython-input>, line 3)", "out": "104", "pred": "86"}
+{"in": "print(A, ' ', B)<sep>IndentationError: expected an indented block (<string>, line 16)", "out": "86", "pred": "86"}
+{"in": "df['平均気温'].valuse<sep>KeyError: '平均気温'", "out": "69", "pred": "69"}
+{"in": "return(f(a(x-1)))<sep>TypeError: a() missing 1 required positional argument: 'N'", "out": "30", "pred": "30"}
+{"in": "x = input(5)<sep>KeyboardInterrupt:", "out": "47", "pred": "47"}
+{"in": "plt.scatter()<sep>TypeError: scatter() missing 2 required positional arguments: 'x' and 'y'", "out": "27", "pred": "27"}
+{"in": "​<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 3)", "out": "86", "pred": "123"}
+{"in": "plt.scatter(df['部屋数'],df['住宅価格'],alpha=0,5,color='purple')<sep>SyntaxError: positional argument follows keyword argument (<ipython-input>, line 2)", "out": "113", "pred": "113"}
+{"in": "bb=b[b.index[max()]]<sep>TypeError: max expected 1 arguments, got 0", "out": "27", "pred": "27"}
+{"in": "math.floor<sep>NameError: name 'math' is not defined", "out": "12", "pred": "12"}
+{"in": "A=N%10<sep>TypeError: not all arguments converted during string formatting", "out": "72", "pred": "72"}
+{"in": "df.plt.scatter('降水量', 'スギ花粉飛散量')<sep>AttributeError: 'DataFrame' object has no attribute 'plt'", "out": "13", "pred": "13"}
+{"in": "def calc(1+10): return float(s)<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "136", "pred": "86"}
+{"in": "m.append(s,t)<sep>TypeError: append() takes exactly one argument (2 given)", "out": "24", "pred": "24"}
+{"in": "lives.shape(5,8)<sep>NameError: name 'lives' is not defined", "out": "60", "pred": "60"}
+{"in": "print(BMI)<sep>SyntaxError: invalid syntax (<ipython-input>, line 4)", "out": "125", "pred": "125"}
+{"in": "X = df[['curry','temperature','kacal']]<sep>KeyError: \"['kacal'] not in index\"", "out": "69", "pred": "69"}
+{"in": "X_train = train[[\"Sex\", \"parch\", \"Pclass\"]]<sep>KeyError: \"['parch'] not in index\"", "out": "69", "pred": "69"}
+{"in": "if α==a.upper():<sep>AttributeError: 'int' object has no attribute 'upper'", "out": "41", "pred": "73"}
+{"in": "self.nume<sep>NameError: name 'self' is not defined", "out": "7", "pred": "60"}
+{"in": "c.count()<sep>TypeError: count() missing 1 required positional argument: 'self'", "out": "32", "pred": "32"}
+{"in": "rho = corr(df[column], df['犯罪率'])<sep>NameError: name 'corr' is not defined", "out": "147", "pred": "147"}
+{"in": "plt.figure(figsize=13, 6)<sep>SyntaxError: positional argument follows keyword argument (<ipython-input>, line 1)", "out": "111", "pred": "113"}
+{"in": "print(aaaa)<sep>NameError: name 'aaaa' is not defined", "out": "65", "pred": "10"}
+{"in": "re.split('(..)',s)[1::1]<sep>NameError: name 're' is not defined", "out": "12", "pred": "60"}
+{"in": "pirnt(S_s)<sep>NameError: name 'pirnt' is not defined", "out": "11", "pred": "11"}
+{"in": "D=list(map(int,str,(d)))<sep>IndentationError: expected an indented block (<ipython-input>, line 3)", "out": "86", "pred": "86"}
+{"in": "S2=S.replace(S[2],S[3])<sep>IndexError: string index out of range", "out": "140", "pred": "140"}
+{"in": "print(a.find[S[x]])<sep>TypeError: 'builtin_function_or_method' object is not subscriptable", "out": "73", "pred": "73"}
+{"in": "return a<sep>SyntaxError: 'return' outside function (<ipython-input>, line 2)", "out": "137", "pred": "137"}
+{"in": "a = ferelibenterhominesidquodvoluntcredunt<sep>NameError: name 'ferelibenterhominesidquodvoluntcredunt' is not defined", "out": "65", "pred": "11"}
+{"in": "a,b=map(input().split())<sep>TypeError: map() must have at least two arguments.", "out": "29", "pred": "29"}
+{"in": "df=pd.read_csv(\"boston.csv\")<sep>NameError: name 'pd' is not defined", "out": "12", "pred": "12"}
+{"in": "print('BMI')print(BMI)<sep>SyntaxError: invalid syntax (<ipython-input>, line 4)", "out": "126", "pred": "110"}
+{"in": "c=collections.Counter(x)<sep>NameError: name 'collections' is not defined", "out": "12", "pred": "12"}
+{"in": "c== sum(list(map(int, str(A))))<sep>NameError: name 'c' is not defined", "out": "62", "pred": "60"}
+{"in": "kogi_login(class_name='atcoder')<sep>NameError: name 'kogi_login' is not defined", "out": "147", "pred": "11"}
+{"in": "float(input('enter your weight by cm >> ')) = height<sep>SyntaxError: can't assign to function call (<ipython-input>, line 2)", "out": "129", "pred": "129"}
+{"in": "y_pred = model.predict(X_train)<sep>NameError: name 'model' is not defined", "out": "60", "pred": "60"}
+{"in": "A,B=(int,input()split<sep>SyntaxError: invalid syntax (<string>, line 3)", "out": "88", "pred": "86"}
+{"in": "p = PersonW()<sep>TypeError: __init__() missing 3 required positional arguments: 'name', 'height', and 'weight'", "out": "30", "pred": "30"}
+{"in": "model =RandomForestRegressor(),<sep>NameError: name 'RandomForestRegressor' is not defined", "out": "12", "pred": "12"}
+{"in": "print MAX(A+B, A-B, A*B)<sep>SyntaxError: invalid syntax (<string>, line 8)", "out": "134", "pred": "125"}
+{"in": "newdata[h-1] = BMI<sep>IndexError: list assignment index out of range", "out": "139", "pred": "139"}
+{"in": "<sep>TypeError: load() missing 1 required positional argument: 'Loader'", "out": "27", "pred": "30"}
+{"in": "h**2=22/w<sep>SyntaxError: can't assign to operator (<ipython-input>, line 2)", "out": "129", "pred": "129"}
+{"in": "if(A+B=<4):<sep>SyntaxError: invalid syntax (<string>, line 9)", "out": "86", "pred": "132"}
+{"in": "X = df[col[y],col[z]]<sep>KeyError: ('犯罪率', '緑地')", "out": "85", "pred": "85"}
+{"in": "plt.scatter(df['築年']), df['住宅価格']<sep>TypeError: scatter() missing 1 required positional argument: 'y'", "out": "31", "pred": "27"}
+{"in": "sns.kdeplot(,hue='性別', data=df)<sep>SyntaxError: invalid syntax (<ipython-input>, line 3)", "out": "104", "pred": "99"}
+{"in": "b=b for j in range(3)<sep>SyntaxError: invalid syntax (<ipython-input>, line 4)", "out": "86", "pred": "106"}
+{"in": "print(Ratio(1,2).add(Ratio(1,3)))<sep>TypeError: add() missing 1 required positional argument: 'm'", "out": "30", "pred": "30"}
+{"in": "X_train_numa_p = pd.read_csv('/drive/my-drive/nuna-chan/train_Numa_print.csv')<sep>FileNotFoundError: [Errno 2] No such file or directory: '/drive/my-drive/nuna-chan/train_Numa_print.csv'", "out": "33", "pred": "33"}
+{"in": "X = df[['低所得者','部屋数']]<sep>KeyError: \"['低所得者'] not in index\"", "out": "69", "pred": "69"}
+{"in": "doc = nlp(text)<sep>NameError: name 'nlp' is not defined", "out": "147", "pred": "147"}
+{"in": "train2 = pd.read_csv(\"train2.csv\")<sep>FileNotFoundError: [Errno 2] No such file or directory: 'train2.csv'", "out": "33", "pred": "33"}
+{"in": "print(い)<sep>NameError: name 'い' is not defined", "out": "65", "pred": "65"}
+{"in": "p = PrsonD(\"かんな\", 1999, 2, 3)<sep>NameError: name 'PrsonD' is not defined", "out": "11", "pred": "11"}
+{"in": "Y.append(f(x))<sep>TypeError: 'int' object is not callable", "out": "67", "pred": "8"}
+{"in": "retun 1 /(1 + x**2)<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 2)", "out": "123", "pred": "122"}
+{"in": "BMI = w　/ ( h * h )<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 3)", "out": "123", "pred": "122"}
+{"in": "cost2 = math.sqrt((h[1]-h[0])**2)<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "説明変数: Index(['犯罪率', '緑地', '工場', '川近', '大気汚染', '部屋数', '築年', '通勤',<sep>NameError: name 'Index' is not defined", "out": "10", "pred": "110"}
+{"in": "mountains.sort(raverse=True)<sep>TypeError: 'raverse' is an invalid keyword argument for sort()", "out": "20", "pred": "20"}
+{"in": "reverse(a)<sep>NameError: name 'reverse' is not defined", "out": "151", "pred": "11"}
+{"in": "for i range(10):<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "86", "pred": "86"}
+{"in": "def name(self):<sep>IndentationError: expected an indented block (<ipython-input>, line 7)", "out": "86", "pred": "86"}
+{"in": "if (y==0:<sep>SyntaxError: invalid syntax (<ipython-input>, line 2)", "out": "87", "pred": "132"}
+{"in": "X = df[['weather', 'tempersture']]<sep>KeyError: \"['tempersture'] not in index\"", "out": "69", "pred": "69"}
+{"in": "if type((i-3k)/(3+4*k))==int:<sep>SyntaxError: invalid syntax (<ipython-input>, line 6)", "out": "128", "pred": "132"}
+{"in": "l=[int(input().split(\" \")) for i in range(x)]<sep>TypeError: int() argument must be a string, a bytes-like object or a number, not 'list'", "out": "144", "pred": "144"}
+{"in": "X = df[['犯罪数']]<sep>KeyError: \"None of [Index(['犯罪数'], dtype='object')] are in the [columns]\"", "out": "69", "pred": "69"}
+{"in": "c=[map(int,input().split() for _ in range(n)]<sep>SyntaxError: invalid syntax (<ipython-input>, line 3)", "out": "86", "pred": "86"}
+{"in": "D =list(map(int, str(d)))<sep>KeyboardInterrupt:", "out": "47", "pred": "47"}
+{"in": "pd.pivot_table(df, index=\"血液型\", columns=\"身長\", values = \"成年\", aggfunc = \"count\")<sep>KeyError: '成年'", "out": "69", "pred": "69"}
+{"in": "df = pd.read_csv('Jリーグ選手身長体重.csv')<sep>FileNotFoundError: [Errno 2] No such file or directory: 'Jリーグ選手身長体重.csv'", "out": "33", "pred": "33"}
+{"in": "pi+=((-1)**k)*(1/k)<sep>NameError: name 'k' is not defined", "out": "60", "pred": "60"}
+{"in": "print(\"Hello World\"<sep>SyntaxError: unexpected EOF while parsing (<ipython-input>, line 1)", "out": "88", "pred": "88"}
+{"in": "if BMI  >=25.0<sep>SyntaxError: invalid syntax (<ipython-input>, line 7)", "out": "115", "pred": "115"}
+{"in": "df=pd.read_csv(\"pollen.csv\")<sep>FileNotFoundError: [Errno 2] No such file or directory: 'pollen.csv'", "out": "33", "pred": "33"}
+{"in": "a = print(str(\"A\", K))<sep>TypeError: str() argument 2 must be str, not int", "out": "146", "pred": "146"}
+{"in": "plt.scatter(df['恋人'], df['成績'])<sep>KeyError: '成績'", "out": "69", "pred": "69"}
+{"in": "print(お昼を食べに行きましょう)<sep>NameError: name 'お昼を食べに行きましょう' is not defined", "out": "65", "pred": "お昼"}
+{"in": "if s[ i ] == 4 * a * b + 3 * a + 3 * b :<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "model = FecisionTreeRegressor()<sep>NameError: name 'FecisionTreeRegressor' is not defined", "out": "11", "pred": "12"}
+{"in": "ｗ ＝46.4<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 1)", "out": "122", "pred": "122"}
+{"in": "D = list(map(int, str(d)))<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 4)", "out": "123", "pred": "123"}
+{"in": "count(lives, x=1, y=1)<sep>NameError: name 'count' is not defined", "out": "147", "pred": "147"}
+{"in": "dog=Dog('ハナ')<sep>NameError: name 'Dog' is not defined", "out": "149", "pred": "149"}
+{"in": "df.scatterplot(x='降水量', y='スギ花粉飛散量')<sep>AttributeError: 'DataFrame' object has no attribute 'scatterplot'", "out": "13", "pred": "13"}
+{"in": "T = (n-  l1 - l2) / ( B[ i ] + B[ - ( i + 2) ] )<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "def f(x):<sep>SyntaxError: invalid syntax (<ipython-input>, line 11)", "out": "125", "pred": "86"}
+{"in": "train = alldata.query('train_or_test == \"train\"')<sep>NameError: name 'alldata' is not defined", "out": "59", "pred": "59"}
+{"in": "return f'<img width=\"200\" src=\"https://emoji-img.s3.ap-northeast-1.amazonaws.com/svg/1f986.svg\"><sep>SyntaxError: EOL while scanning string literal (<ipython-input>, line 7)", "out": "131", "pred": "131"}
+{"in": "df['平均気温'].head(5)<sep>KeyError: '平均気温'", "out": "69", "pred": "69"}
+{"in": "ss.append(chr(a))  #リストに追加<sep>NameError: name 'ss' is not defined", "out": "61", "pred": "60"}
+{"in": "if BMI > 25.00：<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 1)", "out": "122", "pred": "122"}
+{"in": "if N[i]<sep>SyntaxError: invalid syntax (<string>, line 6)", "out": "106", "pred": "115"}
+{"in": "<sep>SyntaxError: unexpected EOF while parsing (<ipython-input>, line 4)", "out": "93", "pred": "88"}
+{"in": "corr = df.corr()<sep>NameError: name 'df' is not defined", "out": "59", "pred": "59"}
+{"in": "elif:<sep>SyntaxError: invalid syntax (<ipython-input>, line 5)", "out": "90", "pred": "99"}
+{"in": "np.where(a < pibot)<sep>NameError: name 'pibot' is not defined", "out": "60", "pred": "60"}
+{"in": "model = KNeighborsRegressor(max_depth=5)<sep>TypeError: __init__() got an unexpected keyword argument 'max_depth'", "out": "19", "pred": "19"}
+{"in": "X_train = pd.get_dummies(train[['week', 'temperature']])<sep>NameError: name 'train' is not defined", "out": "59", "pred": "59"}
+{"in": "Dog()<sep>TypeError: __init__() missing 1 required positional argument: 'name'", "out": "30", "pred": "30"}
+{"in": "X = df_name, df[['df_weather']]<sep>KeyError: \"None of [Index(['df_weather'], dtype='object')] are in the [columns]\"", "out": "69", "pred": "69"}
+{"in": "plt.show()<sep>SyntaxError: invalid syntax (<ipython-input>, line 4)", "out": "125", "pred": "125"}
+{"in": "v.append(s[k:n] + s[0:k])<sep>NameError: name 's' is not defined", "out": "60", "pred": "60"}
+{"in": "integrate(x*log(x**2+1),(x,0,1)<sep>SyntaxError: unexpected EOF while parsing (<ipython-input>, line 1)", "out": "88", "pred": "88"}
+{"in": "print(a[a.find(S[x])+N%26])<sep>TypeError: not all arguments converted during string formatting", "out": "72", "pred": "72"}
+{"in": "for i in range(len(a)):<sep>NameError: name 'a' is not defined", "out": "60", "pred": "60"}
+{"in": "D = input(1000)<sep>KeyboardInterrupt:", "out": "47", "pred": "47"}
+{"in": "s +=y*h<sep>NameError: name 's' is not defined", "out": "63", "pred": "63"}
+{"in": "model = HuberRegressor()<sep>NameError: name 'HuberRegressor' is not defined", "out": "12", "pred": "12"}
+{"in": "y+=x<sep>NameError: name 'y' is not defined", "out": "63", "pred": "63"}
+{"in": "train_: (864, 6) y: (864,) test_ : (864, 6)<sep>SyntaxError: invalid syntax (<ipython-input>, line 13)", "out": "10", "pred": "86"}
+{"in": "a=ord(c)+N<sep>NameError: name 'c' is not defined", "out": "60", "pred": "60"}
+{"in": "N = float().input()<sep>AttributeError: 'float' object has no attribute 'input'", "out": "73", "pred": "15"}
+{"in": "p.show()<sep>AttributeError: 'personW' object has no attribute 'show'", "out": "68", "pred": "68"}
+{"in": "X.append(x)<sep>NameError: name 'X' is not defined", "out": "61", "pred": "60"}
+{"in": "d= sum(D)<sep>TypeError: 'int' object is not callable", "out": "8", "pred": "8"}
+{"in": "df4 = pd.merge(df1, df2, df3, on='名前', how='outer')<sep>TypeError: merge() got multiple values for argument 'how'", "out": "50", "pred": "50"}
+{"in": "df = df.read_csv('pollen.csv')<sep>NameError: name 'df' is not defined", "out": "11", "pred": "11"}
+{"in": "for key in Series:<sep>NameError: name 'Series' is not defined", "out": "60", "pred": "60"}
+{"in": "C = (A−B)/3 + B<sep>SyntaxError: invalid character in identifier (<string>, line 3)", "out": "122", "pred": "122"}
+{"in": "plt.plot(x='西暦', y='降水量')<sep>TypeError: plot got an unexpected keyword argument 'x'", "out": "19", "pred": "19"}
+{"in": "if count[p][1] < count[p+1][1]:<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "if A[3]-A[2]==A[2]-A[1]:<sep>NameError: name 'A' is not defined", "out": "60", "pred": "60"}
+{"in": "S[i]=input()<sep>IndexError: list assignment index out of range", "out": "139", "pred": "139"}
+{"in": "p = PersonD(\"かんな\",1999,2,3)<sep>TypeError: PersonD() takes no arguments", "out": "26", "pred": "26"}
+{"in": "self.gen = func(*args, **kwds)<sep>KeyboardInterrupt:", "out": "47", "pred": "47"}
+{"in": "if lens(N)==1:<sep>NameError: name 'lens' is not defined", "out": "11", "pred": "11"}
+{"in": "n=int(N[2])<sep>IndexError: string index out of range", "out": "140", "pred": "140"}
+{"in": "plt.hist(df'工場')<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "86", "pred": "111"}
+{"in": "if BMI >== 25:<sep>SyntaxError: invalid syntax (<ipython-input>, line 8)", "out": "86", "pred": "115"}
+{"in": "df.columns=columns<sep>IndentationError: unexpected indent (<ipython-input>, line 8)", "out": "107", "pred": "107"}
+{"in": "def Fra(self.x, self.y):<sep>SyntaxError: invalid syntax (<ipython-input>, line 8)", "out": "86", "pred": "86"}
+{"in": "X = df['通勤時間']  # ひとつ選ぶ<sep>KeyError: '通勤時間'", "out": "69", "pred": "69"}
+{"in": "func(0)=1<sep>SyntaxError: can't assign to function call (<ipython-input>, line 2)", "out": "129", "pred": "129"}
+{"in": "for w in range(40,100,5)<sep>SyntaxError: invalid syntax (<ipython-input>, line 6)", "out": "115", "pred": "115"}
+{"in": "ss.apend(chr(a)) #リストに追加<sep>AttributeError: 'list' object has no attribute 'apend'", "out": "15", "pred": "15"}
+{"in": "sin(1)<sep>NameError: name 'sin' is not defined", "out": "12", "pred": "147"}
+{"in": "def add(self.x):<sep>SyntaxError: invalid syntax (<ipython-input>, line 7)", "out": "86", "pred": "86"}
+{"in": "<sep>TypeError: append() takes exactly one argument (2 given)", "out": "23", "pred": "24"}
+{"in": "N,A,X,Y=map(int,input().split)<sep>TypeError: 'builtin_function_or_method' object is not iterable", "out": "73", "pred": "73"}
+{"in": "N[0] = S<sep>NameError: name 'S' is not defined", "out": "60", "pred": "60"}
+{"in": "X_train, X_test = X.ix[train_index,:], X.ix[test_index,:]<sep>AttributeError: 'DataFrame' object has no attribute 'ix'", "out": "1", "pred": "15"}
+{"in": "df.head(pollen.csv)<sep>NameError: name 'df' is not defined", "out": "59", "pred": "59"}
+{"in": "print(\"太りすぎ”)<sep>SyntaxError: EOL while scanning string literal (<ipython-input>, line 2)", "out": "131", "pred": "131"}
+{"in": "n = format(N, x)<sep>NameError: name 'x' is not defined", "out": "60", "pred": "60"}
+{"in": "C1=C[i-2]+abs(h[i]-h[i-2])<sep>IndentationError: expected an indented block (<string>, line 9)", "out": "86", "pred": "86"}
+{"in": "for x in range(M):<sep>IndentationError: unexpected indent (<ipython-input>, line 5)", "out": "107", "pred": "107"}
+{"in": "print S[j]<sep>SyntaxError: Missing parentheses in call to 'print'. Did you mean print(S[j])? (<string>, line 6)", "out": "134", "pred": "134"}
+{"in": "plt.plot(df['降水量']), bins=1)<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "86", "pred": "86"}
+{"in": "a=int(A[i])<sep>IndexError: string index out of range", "out": "140", "pred": "140"}
+{"in": "member.append(b)<sep>NameError: name 'b' is not defined", "out": "60", "pred": "60"}
+{"in": "y = df['LUNG_CANCER_num']<sep>KeyError: 'LUNG_CANCER_num'", "out": "69", "pred": "69"}
+{"in": "Pipeli<sep>NameError: name 'Pipeli' is not defined", "out": "18", "pred": "11"}
+{"in": "https://atcoder.jp/contests/abc211/tasks/abc211_a<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "10", "pred": "10"}
+{"in": "array(0.802,0.535,0.267)<sep>NameError: name 'array' is not defined", "out": "148", "pred": "148"}
+{"in": "if s[h][i]=='.':<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "plt.scatter(x,y)<sep>NameError: name 'x' is not defined", "out": "60", "pred": "60"}
+{"in": "df.sort_values('df['平均気温]').head(5)<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "86", "pred": "99"}
+{"in": "plt.scatter(df['部屋数'], df['住宅価格'], alpha=0.3)<sep>NameError: name 'df' is not defined", "out": "59", "pred": "59"}
+{"in": "plt.hist(df['住宅価格']),bins=30<sep>SyntaxError: can't assign to function call (<ipython-input>, line 1)", "out": "111", "pred": "111"}
+{"in": "df.drop('黒人', axis=1, inplace = True)<sep>KeyError: \"['黒人'] not found in axis\"", "out": "69", "pred": "69"}
+{"in": "math.acos(np.dot(a,b)/(norm(a)*norm(b)))<sep>NameError: name 'math' is not defined", "out": "12", "pred": "12"}
+{"in": "if BMI < 17.5<sep>SyntaxError: invalid syntax (<ipython-input>, line 7)", "out": "115", "pred": "115"}
+{"in": "plt.figure(figuresize=(6, 6))<sep>TypeError: __init__() got an unexpected keyword argument 'figuresize'", "out": "19", "pred": "19"}
+{"in": "if p[N] == X:<sep>NameError: name 'p' is not defined", "out": "60", "pred": "60"}
+{"in": "df.head(sort_values('平均気温'))<sep>NameError: name 'sort_values' is not defined", "out": "152", "pred": "11"}
+{"in": "c = Counter() #__init__が呼ばれて、初期化(コンストラクタ)<sep>NameError: name 'Counter' is not defined", "out": "149", "pred": "12"}
+{"in": "else:<sep>SyntaxError: invalid syntax (<ipython-input>, line 3)", "out": "108", "pred": "108"}
+{"in": "p.bmi<sep>AttributeError: 'PersonW' object has no attribute 'bmi'", "out": "68", "pred": "68"}
+{"in": "intext.__len__()<sep>TypeError: __len__() missing 1 required positional argument: 'self'", "out": "32", "pred": "32"}
+{"in": "Xlist(map(int,input().split()))<sep>NameError: name 'Xlist' is not defined", "out": "60", "pred": "11"}
+{"in": "SS[0][1][2].append(0)<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "df['平均気温'].up(5)<sep>AttributeError: 'Series' object has no attribute 'up'", "out": "2", "pred": "15"}
+{"in": "df.sort_values('平均気温]').head(5)<sep>KeyError: '平均気温]'", "out": "69", "pred": "69"}
+{"in": "integrate(exp(-x**2),(x,-∞,∞))<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 1)", "out": "122", "pred": "123"}
+{"in": "c1 = [n-1,abs(h[n]-h[n-1])]<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "df.corr(method=' 降水量', 'スギ花粉飛散量')<sep>SyntaxError: positional argument follows keyword argument (<ipython-input>, line 1)", "out": "111", "pred": "113"}
+{"in": "X = df['通勤', '教員']  # 説明変数<sep>KeyError: ('通勤', '教員')", "out": "85", "pred": "85"}
+{"in": "S.append()<sep>TypeError: append() takes exactly one argument (0 given)", "out": "28", "pred": "27"}
+{"in": "sklearn.metrics.mean_squared_error(df['平均気温'], model.predict(df['スギ花粉飛散量']))<sep>NameError: name 'sklearn' is not defined", "out": "12", "pred": "12"}
+{"in": "if i[0]==i[1]:<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "'鶏肉とカシューナッツ炒め':4<sep>NameError: name 'f' is not defined", "out": "15", "pred": "60"}
+{"in": "<sep>SyntaxError: invalid syntax (<unknown>, line 1)", "out": "121", "pred": "106"}
+{"in": "list_S.append(S[i])<sep>NameError: name 'list_S' is not defined", "out": "61", "pred": "61"}
+{"in": "X = df['部屋数','低所得率']<sep>KeyError: ('部屋数', '低所得率')", "out": "85", "pred": "85"}
+{"in": "X = df[['weather_num']] #一つ選ぶ<sep>KeyError: \"None of [Index(['weather_num'], dtype='object')] are in the [columns]\"", "out": "69", "pred": "69"}
+{"in": "df= pd.read('pollen.csv')<sep>AttributeError: module 'pandas' has no attribute 'read'", "out": "15", "pred": "15"}
+{"in": "int main(void)<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "101", "pred": "101"}
+{"in": "pd.read_csv('file.xlsx', sep='\\t')<sep>FileNotFoundError: [Errno 2] No such file or directory: 'file.xlsx'", "out": "33", "pred": "33"}
+{"in": "Female_Child_Group=df.loc[(df['FamilyGroup']>=2) & ((df['Age']<=16) | (df['Sex']=='female'))]<sep>KeyError: 'FamilyGroup'", "out": "69", "pred": "69"}
+{"in": "c.appned(kai)<sep>AttributeError: 'list' object has no attribute 'appned'", "out": "15", "pred": "15"}
+{"in": "a, b = reg1dim(x, y)<sep>NameError: name 'reg1dim' is not defined", "out": "147", "pred": "11"}
+{"in": "print(<sep>SyntaxError: unexpected EOF while parsing (<ipython-input>, line 2)", "out": "88", "pred": "88"}
+{"in": "S, T = string(input())<sep>NameError: name 'string' is not defined", "out": "11", "pred": "11"}
+{"in": "print(i+1,j+1)<sep>IndentationError: expected an indented block (<string>, line 9)", "out": "86", "pred": "86"}
+{"in": "y = test[y_pred]<sep>KeyError: \"None of [Float64Index([0.14179912843453651,  0.7963415337906501,  0.7204152328494197,\\n               0.7100552872264796, 0.16649358048069202, 0.11834726991111304,\\n              0.18583027038940803, 0.10120909224728761,  0.7229615698839564,\\n               0.7958515823977297,\\n              ...\\n               0.1720093188519658,  0.7363594358499915, 0.19086317210528234,\\n               0.1936843497436719,   0.654628103598964,  0.1979866103539014,\\n               0.7780292825319143,  0.6751400967806618, 0.29382226607565826,\\n              0.11050137808400809],\\n             dtype='float64', length=891)] are in the [columns]\"", "out": "54", "pred": "54"}
+{"in": "X_test = test[[\"Pclass\", \"Sex\", \"Fare\",\"Age\",\"Embarked\",\"Survived\"]]<sep>KeyError: \"['Survived'] not in index\"", "out": "69", "pred": "69"}
+{"in": "n = math.ceil(N/100)<sep>NameError: name 'N' is not defined", "out": "60", "pred": "60"}
+{"in": "N,K = map(input().split())<sep>TypeError: map() must have at least two arguments.", "out": "29", "pred": "29"}
+{"in": "hh = abs(h[n]-h[n-1])<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "pandas.set_option('bento.csv',None)<sep>NameError: name 'pandas' is not defined", "out": "12", "pred": "11"}
+{"in": "C+=1 #この意味はC=C+1<sep>IndentationError: expected an indented block (<string>, line 12)", "out": "86", "pred": "86"}
+{"in": "D=A-B<sep>SyntaxError: invalid syntax (<string>, line 4)", "out": "125", "pred": "106"}
+{"in": "print(\"普通体重\")<sep>IndentationError: expected an indented block (<ipython-input>, line 10)", "out": "86", "pred": "86"}
+{"in": "df3=df3.drop('身長_y',axis=1,inplace=True)<sep>KeyError: \"['身長_y'] not found in axis\"", "out": "69", "pred": "69"}
+{"in": "S, T =map(input().split())<sep>TypeError: map() must have at least two arguments.", "out": "29", "pred": "29"}
+{"in": "A,B=map(int,input().split())<sep>KeyboardInterrupt:", "out": "47", "pred": "47"}
+{"in": "(x**2 + x/sqrt(1+x**2)) * (1+(x/((1+ x**2) sqrt(1+x**2))))<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "86", "pred": "86"}
+{"in": "form scipy.stats import pearsonr<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "15", "pred": "15"}
+{"in": "model = RandomForestRegressor(max_depth=3)<sep>NameError: name 'RandomForestRegressor' is not defined", "out": "12", "pred": "12"}
+{"in": "mi=[x for x in b if a[i]-ab<=ba[i]+ab]<sep>NameError: name 'ba' is not defined", "out": "60", "pred": "60"}
+{"in": "d=1997112　#朔間零<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 1)", "out": "123", "pred": "122"}
+{"in": "import.math<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "98", "pred": "98"}
+{"in": "newdata.append[]<sep>SyntaxError: invalid syntax (<ipython-input>, line 3)", "out": "86", "pred": "86"}
+{"in": "print(\"MSE(テスト): \", mean_squared_error(y_test, y_pred) )<sep>NameError: name 'mean_squared_error' is not defined", "out": "12", "pred": "12"}
+{"in": "A1=repeat(A*a)<sep>TypeError: repeat() missing 1 required positional argument: 'length'", "out": "27", "pred": "30"}
+{"in": "(/if, BMI, >=)<sep>SyntaxError: invalid syntax (<ipython-input>, line 6)", "out": "10", "pred": "106"}
+{"in": "n.sort().reverse()<sep>AttributeError: 'NoneType' object has no attribute 'reverse'", "out": "49", "pred": "45"}
+{"in": "plt.hist[df('スギ花粉飛散量')]<sep>TypeError: 'DataFrame' object is not callable", "out": "52", "pred": "73"}
+{"in": "if X % 100 == 0:<sep>TypeError: not all arguments converted during string formatting", "out": "72", "pred": "72"}
+{"in": "i.append(0)<sep>AttributeError: 'str' object has no attribute 'append'", "out": "38", "pred": "38"}
+{"in": "rho = corr(df[column], df[column],df['住宅価格'])<sep>NameError: name 'corr' is not defined", "out": "147", "pred": "147"}
+{"in": "plt.hist(df['西暦'], df['スギ花粉飛散量'], bins=20)<sep>TypeError: hist() got multiple values for argument 'bins'", "out": "50", "pred": "50"}
+{"in": "A,B,C=map(input().split())<sep>TypeError: map() must have at least two arguments.", "out": "29", "pred": "29"}
+{"in": "b=abs(int(a[i])-int(c[j]))<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "BMI = w / (h*hh*h)<sep>NameError: name 'w' is not defined", "out": "60", "pred": "60"}
+{"in": "elif Y == 2:<sep>SyntaxError: unexpected EOF while parsing (<ipython-input>, line 14)", "out": "93", "pred": "93"}
+{"in": "S, T = list(map(input().split()))<sep>TypeError: map() must have at least two arguments.", "out": "29", "pred": "29"}
+{"in": "df=pd.read_csv('file.xlsx')<sep>FileNotFoundError: [Errno 2] No such file or directory: 'file.xlsx'", "out": "33", "pred": "33"}
+{"in": "A = list(map(int, input().split()))<sep>SyntaxError: invalid syntax (<string>, line 4)", "out": "125", "pred": "86"}
+{"in": "ihead boston.csv<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "116", "pred": "106"}
+{"in": "BMI=w /h＊＊2<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 3)", "out": "122", "pred": "122"}
+{"in": "sklearn.metrics.mean_squared_error(X, model.predict(y))<sep>NameError: name 'sklearn' is not defined", "out": "12", "pred": "12"}
+{"in": "class PersonW（object）:<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 1)", "out": "122", "pred": "122"}
+{"in": "model = TheilSenRegresso()<sep>NameError: name 'TheilSenRegresso' is not defined", "out": "12", "pred": "11"}
+{"in": "model = DecisionTreeRegression()<sep>NameError: name 'DecisionTreeRegression' is not defined", "out": "12", "pred": "12"}
+{"in": "mse = mean_squared_error(y, y_pred)<sep>NameError: name 'y_pred' is not defined", "out": "60", "pred": "60"}
+{"in": "p = PersonW('Jecy', 184,69,0)<sep>TypeError: __init__() takes 1 positional argument but 5 were given", "out": "26", "pred": "26"}
+{"in": "print(”Hello World\")<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 1)", "out": "122", "pred": "123"}
+{"in": "print(''.sorted(int(A)))<sep>AttributeError: 'str' object has no attribute 'sorted'", "out": "73", "pred": "73"}
+{"in": "else:<sep>IndentationError: expected an indented block (<ipython-input>, line 6)", "out": "86", "pred": "86"}
+{"in": "X_train_pr_name, X_test_pr_name = train_test_split(df_pr_name,test_size = 0.3)<sep>NameError: name 'df_pr_name' is not defined", "out": "59", "pred": "59"}
+{"in": "plt.plot(wights,newdata)<sep>NameError: name 'plt' is not defined", "out": "12", "pred": "12"}
+{"in": "a = b * c + d<sep>NameError: name 'c' is not defined", "out": "62", "pred": "60"}
+{"in": "print( A[ i ][ j ] )<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "df7.drop('チーム', axis=1, inplace=True)<sep>KeyError: \"['チーム'] not found in axis\"", "out": "69", "pred": "69"}
+{"in": "S.sort(N)<sep>TypeError: sort() takes no positional arguments", "out": "23", "pred": "23"}
+{"in": "print(w,2f)<sep>SyntaxError: invalid syntax (<ipython-input>, line 6)", "out": "86", "pred": "86"}
+{"in": "df.column<sep>AttributeError: 'DataFrame' object has no attribute 'column'", "out": "15", "pred": "15"}
+{"in": "S[0],S[2] = S[2],SD[0]<sep>NameError: name 'SD' is not defined", "out": "60", "pred": "60"}
+{"in": "if S[i] = '#':<sep>SyntaxError: invalid syntax (<string>, line 7)", "out": "132", "pred": "132"}
+{"in": "int(A[1])<sep>IndexError: string index out of range", "out": "140", "pred": "140"}
+{"in": "train_raw['Ticket'].head()<sep>NameError: name 'train_raw' is not defined", "out": "59", "pred": "59"}
+{"in": "sub['disease'] = list(map(int, y_pred))<sep>NameError: name 'sub' is not defined", "out": "60", "pred": "11"}
+{"in": "g1=a.sorted<sep>AttributeError: 'list' object has no attribute 'sorted'", "out": "34", "pred": "34"}
+{"in": "X_train = train[[\"Age\", \"T_Bil\", \"D_Bil\", \"ALP\", \"ALT_GOT\"]]<sep>KeyError: \"['ALT_GOT'] not in index\"", "out": "69", "pred": "69"}
+{"in": "d = X.pop()　#Xから１枚とる<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 1)", "out": "123", "pred": "123"}
+{"in": "for i in ragne(K):<sep>NameError: name 'ragne' is not defined", "out": "11", "pred": "11"}
+{"in": "X_test = test[[['Pclass','Sex', 'Age','Fare','Embarked']]<sep>SyntaxError: unexpected EOF while parsing (<ipython-input>, line 1)", "out": "89", "pred": "88"}
+{"in": "M=8　　　#列数<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 1)", "out": "123", "pred": "122"}
+{"in": "d = (N-1-i)*A[i] - sum(A[i+1:])1<sep>SyntaxError: invalid syntax (<ipython-input>, line 6)", "out": "99", "pred": "86"}
+{"in": "parse_digit()<sep>NameError: name 'parse_digit' is not defined", "out": "147", "pred": "11"}
+{"in": "A=string[1:]<sep>NameError: name 'string' is not defined", "out": "11", "pred": "60"}
+{"in": "y_pred = model.predict(X_test)<sep>SyntaxError: invalid syntax (<ipython-input>, line 15)", "out": "125", "pred": "86"}
+{"in": "for col df. columns:('住宅価格')<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "86", "pred": "86"}
+{"in": "S, = ','.join()<sep>TypeError: join() takes exactly one argument (0 given)", "out": "27", "pred": "27"}
+{"in": "stone_list=[garnet, amethyst, aquamarine, diamond, emerald, pearl, ruby, peridot,  sapphire, tourmaline, topaz, turquoise]<sep>NameError: name 'garnet' is not defined", "out": "15", "pred": "11"}
+{"in": "x = int(map(int, input().split()))<sep>TypeError: int() argument must be a string, a bytes-like object or a number, not 'map'", "out": "144", "pred": "144"}
+{"in": "head()<sep>NameError: name 'head' is not defined", "out": "147", "pred": "11"}
+{"in": "print(!head(pollen.csv))<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "103", "pred": "86"}
+{"in": "while > = 10:<sep>SyntaxError: invalid syntax (<ipython-input>, line 2)", "out": "92", "pred": "106"}
+{"in": "S.append(L)<sep>AttributeError: 'dict' object has no attribute 'append'", "out": "38", "pred": "38"}
+{"in": "df=pd.read_csv('pollen.csv',context=5)<sep>TypeError: read_csv() got an unexpected keyword argument 'context'", "out": "19", "pred": "19"}
+{"in": "ss.append(chr(a))<sep>NameError: name 'ss' is not defined", "out": "61", "pred": "60"}
+{"in": "p.BMI()<sep>TypeError: 'int' object is not callable", "out": "51", "pred": "51"}
+{"in": "X = df[['川辺']]<sep>KeyError: \"None of [Index(['川辺'], dtype='object')] are in the [columns]\"", "out": "69", "pred": "69"}
+{"in": "model =RandomForestRegressor()<sep>NameError: name 'RandomForestRegressor' is not defined", "out": "12", "pred": "12"}
+{"in": "df3.drop('身長_y',axis=1,inplace=True)<sep>KeyError: \"['身長_y'] not found in axis\"", "out": "69", "pred": "69"}
+{"in": "accuracy_random_forest = accurancy_score(y_test, y_pred)<sep>NameError: name 'accurancy_score' is not defined", "out": "11", "pred": "12"}
+{"in": "sns.set(font=\"IPAexGothic\",bins=10)<sep>TypeError: set_theme() got an unexpected keyword argument 'bins'", "out": "19", "pred": "19"}
+{"in": "x=4*a*b+3(a+b)<sep>TypeError: 'int' object is not callable", "out": "82", "pred": "8"}
+{"in": "x = ayayayayaya<sep>NameError: name 'ayayayayaya' is not defined", "out": "65", "pred": "65"}
+{"in": "return d<sep>SyntaxError: 'return' outside function (<ipython-input>, line 7)", "out": "137", "pred": "137"}
+{"in": "model = BaggingRegressor(max_depth=3)<sep>NameError: name 'BaggingRegressor' is not defined", "out": "12", "pred": "12"}
+{"in": "A.replace(X,\" \")<sep>AttributeError: 'list' object has no attribute 'replace'", "out": "37", "pred": "41"}
+{"in": "C+=1<sep>IndentationError: expected an indented block (<string>, line 10)", "out": "86", "pred": "86"}
+{"in": "math.sqrt(A)<sep>NameError: name 'A' is not defined", "out": "60", "pred": "60"}
+{"in": "plt.boxplot[\"部屋数\"]<sep>TypeError: 'function' object is not subscriptable", "out": "73", "pred": "73"}
+{"in": "print(\"Hello World\"）<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 1)", "out": "122", "pred": "123"}
+{"in": "print(f'正解率(訓練)', model.score(X_train, y_train))<sep>NameError: name 'y_train' is not defined", "out": "60", "pred": "60"}
+{"in": "random.shuffle(T)<sep>NameError: name 'random' is not defined", "out": "12", "pred": "12"}
+{"in": "df.info()<sep>NameError: name 'df' is not defined", "out": "59", "pred": "59"}
+{"in": "animals=[Sheep(),Sheep(),Sheep(),Dog('ピキ'),Dog('ハナ',Kitty('楓太'),Kitty('小梅'))]<sep>TypeError: __init__() takes 2 positional arguments but 4 were given", "out": "26", "pred": "26"}
+{"in": "if BMI＞25.00:<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 1)", "out": "122", "pred": "122"}
+{"in": "https://atcoder.jp/contests/abc269/tasks/abc269_a<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "10", "pred": "10"}
+{"in": "N = int(input()）<sep>SyntaxError: invalid character in identifier (<string>, line 2)", "out": "122", "pred": "122"}
+{"in": "X = df[df2.columns[:-1]]  # 価格以外を全て説明変数に<sep>KeyError: \"['in', 'or', 'あん', 'いか', 'うどん', 'おろ', 'かじき', 'かつ', 'から', 'きのこ', 'くり', 'ごね', 'ご飯', 'さっ', 'さわら', 'さん', 'さんま', 'しゃぶ', 'すき焼き', 'たっぷり', 'ぬき', 'ねぎ', 'ひやし', 'ひれ', 'ぶり', 'ます', 'やわらか', 'アジ', 'イカ', 'エビ', 'カキフライタルタル', 'カシュー', 'カッシュナッツ', 'カツ', 'カルビ', 'カレイ', 'カレー', 'キス', 'キムチ', 'キャベツ', 'キーマカレー', 'クノーデル', 'クリ', 'クリーミ', 'クリーム', 'クリームチーズ', 'コロッケ', 'コーン', 'ゴーヤチャンプルー', 'サバ', 'サム', 'サーモン', 'サーモンフライ', 'シチュー', 'シャブ', 'ジャンボチキンカツ', 'ジューシーメンチカツ', 'ジョン', 'スイートチリソース', 'スキヤキ', 'スタミナ', 'ステーキ', 'ソテー', 'ソース', 'ソーセージ', 'タルタル', 'タンドリーチキン', 'チキン', 'チキンクリームシチュー', 'チャプチェ', 'チリ', 'チンジャオロース', 'チーズ', 'チーズメンチカツ', 'デミ', 'トマト', 'トンカツ', 'ナッツ', 'ニンニク', 'ハムカツ', 'ハヤシ', 'ハンバーグ', 'ハンバーグカレーソース', 'ハンバーグケッチャップソース', 'ハンバーグデミソース', 'バター', 'バーベキュー', 'ヒレ', 'ビッグメンチカツ', 'ビュッフェ', 'ビーフ', 'ビーフカレー', 'ビーフストロガノフ', 'ピザ', 'ピリ', 'フライ', 'フライタルタル', 'フリカッセ', 'プルコギ', 'ベーコン', 'ホタテ', 'ボローニャ', 'ポーク', 'マスタード', 'マヨ', 'マーボ', 'ムシチュー', 'ムニエル', 'メダイ', 'メンチ', 'ランチ', 'レモンペッパー', 'ロコモコ', 'ロース', '中華', '串カツ', '五目', '入り', '切り', '南蛮', '南部', '名古屋', '味���', '和風', '団子', '天ぷら', '山賊', '御飯', '手作り', '掛け', '揚げ', '梗菜牛', '洋食', '海老', '添え', '漬け', '炊き込み', '炒め', '焼き', '焼き肉', '照り', '牛肉', '玉子', '甘味噌', '甘辛', '甘酢', '生姜', '白身', '筑前', '肉じゃが', '胡麻', '茄子', '親子', '豆腐', '豚肉', '越冬', '辛味', '辛味噌', '酢豚', '野菜', '韓国'] not in index\"", "out": "69", "pred": "69"}
+{"in": "print(corr(df['築年'],df['住宅価格']))<sep>NameError: name 'corr' is not defined", "out": "147", "pred": "147"}
+{"in": "a+b+c<=S and a*b*c<=T<sep>IndentationError: expected an indented block (<string>, line 9)", "out": "86", "pred": "86"}
+{"in": "n=math.ceil(n/100)<sep>NameError: name 'n' is not defined", "out": "60", "pred": "60"}
+{"in": "y_test = test[\"disease\"]<sep>KeyError: 'disease'", "out": "69", "pred": "69"}
+{"in": "cross_val_score(モデル, X, y, cv=5, scoring='r2')<sep>NameError: name 'cross_val_score' is not defined", "out": "12", "pred": "12"}
+{"in": "print(H.index(index(hashi)))<sep>NameError: name 'index' is not defined", "out": "151", "pred": "151"}
+{"in": "n=len(A)//2<sep>NameError: name 'A' is not defined", "out": "60", "pred": "60"}
+{"in": "a=x[len[x]-1]<sep>TypeError: 'builtin_function_or_method' object is not subscriptable", "out": "73", "pred": "73"}
+{"in": "X = df[['weather_num','precipiation_num']]<sep>KeyError: \"['precipiation_num'] not in index\"", "out": "69", "pred": "69"}
+{"in": "plt.hist(alldata.Ticket.value_counts())<sep>NameError: name 'alldata' is not defined", "out": "59", "pred": "60"}
+{"in": "plt.plot(log.loss_curve_)<sep>NameError: name 'log' is not defined", "out": "60", "pred": "60"}
+{"in": "rls.to_csv(\"result.csv\", index=False)<sep>NameError: name 'rls' is not defined", "out": "60", "pred": "11"}
+{"in": "plt.plot(df['西暦'],de['降水量'])<sep>NameError: name 'de' is not defined", "out": "11", "pred": "11"}
+{"in": "a(0)=1<sep>SyntaxError: can't assign to function call (<ipython-input>, line 2)", "out": "129", "pred": "129"}
+{"in": "a=S[-n:]<sep>NameError: name 'n' is not defined", "out": "60", "pred": "60"}
+{"in": "pollen.mean(df['平均気温'])<sep>NameError: name 'df' is not defined", "out": "59", "pred": "59"}
+{"in": "print ('体重', w '身長', h)<sep>SyntaxError: invalid syntax (<ipython-input>, line 5)", "out": "110", "pred": "110"}
+{"in": "for col in df columns:<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "86", "pred": "86"}
+{"in": "print('Takahashi')<sep>SyntaxError: invalid syntax (<string>, line 5)", "out": "125", "pred": "125"}
+{"in": "print('相関係数：',r)<sep>NameError: name 'r' is not defined", "out": "60", "pred": "60"}
+{"in": "vec[i][w]+=wa2.count(word(w))<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "scipy.stats.kstest(, 'norm')<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "104", "pred": "15"}
+{"in": "int num reversed(int original)<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "101", "pred": "101"}
+{"in": "(x-1)*(x+2)-12*15=0<sep>SyntaxError: can't assign to operator (<ipython-input>, line 1)", "out": "129", "pred": "129"}
+{"in": "ｖ<sep>NameError: name 'v' is not defined", "out": "60", "pred": "60"}
+{"in": "for col in df.colums:<sep>AttributeError: 'DataFrame' object has no attribute 'colums'", "out": "15", "pred": "15"}
+{"in": "X = df['tempoture'] #一つ選ぶ<sep>KeyError: 'tempoture'", "out": "69", "pred": "69"}
+{"in": "print(a.split())<sep>AttributeError: 'list' object has no attribute 'split'", "out": "41", "pred": "41"}
+{"in": ">>>np.linalg.norm(X, ord = 0)<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "99", "pred": "86"}
+{"in": "k[0]=S[1]<sep>NameError: name 'k' is not defined", "out": "60", "pred": "60"}
+{"in": "x = log(n)<sep>NameError: name 'log' is not defined", "out": "12", "pred": "147"}
+{"in": "plt.hist(df['住宅価格']),bins=20<sep>SyntaxError: can't assign to function call (<ipython-input>, line 1)", "out": "111", "pred": "111"}
+{"in": "h.appned(r)<sep>AttributeError: 'list' object has no attribute 'appned'", "out": "15", "pred": "15"}
+{"in": "X_train_numa_p = pd.read_csv('my-drive/nuna-chan/train_Numa_print.csv')<sep>FileNotFoundError: [Errno 2] No such file or directory: 'my-drive/nuna-chan/train_Numa_print.csv'", "out": "33", "pred": "33"}
+{"in": "for i in range(b)):<sep>SyntaxError: invalid syntax (<ipython-input>, line 3)", "out": "86", "pred": "86"}
+{"in": "n[0], n[4] = n[4], n[0]<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "df['職業']=df['Jリーガー']<sep>KeyError: 'Jリーガー'", "out": "69", "pred": "69"}
+{"in": "print C =(((A-3)/3) + B)<sep>SyntaxError: invalid syntax (<ipython-input>, line 2)", "out": "134", "pred": "125"}
+{"in": "y_pred = clf.predict(X_test)<sep>NameError: name 'X_test' is not defined", "out": "60", "pred": "60"}
+{"in": "n = name<sep>NameError: name 'name' is not defined", "out": "60", "pred": "60"}
+{"in": "ascending(df['平均気温'])<sep>NameError: name 'ascending' is not defined", "out": "147", "pred": "11"}
+{"in": "model.fit('平均気温', '杉花粉')<sep>NameError: name 'model' is not defined", "out": "60", "pred": "60"}
+{"in": "df['犯罪率',\"住宅価格\"]<sep>KeyError: ('犯罪率', '住宅価格')", "out": "85", "pred": "85"}
+{"in": "sns.scatterplot(data=df, x='pc1', y='pc2', hue='label')<sep>NameError: name 'df' is not defined", "out": "59", "pred": "59"}
+{"in": "e**x<sep>NameError: name 'e' is not defined", "out": "60", "pred": "60"}
+{"in": "50 <= B <= A ＜＝300<sep>SyntaxError: invalid character in identifier (<string>, line 3)", "out": "122", "pred": "122"}
+{"in": "plt.plot(x=df['西暦'], y=df['降水量'])<sep>TypeError: plot got an unexpected keyword argument 'x'", "out": "19", "pred": "19"}
+{"in": "plt.plot(range(len(predict_list)), predict_list , label='Predicted')<sep>NameError: name 'predict_list' is not defined", "out": "60", "pred": "60"}
+{"in": "plt.scatter(df['部活'], df['勉強時間'], alpha=0.5)<sep>KeyError: '勉強時間'", "out": "69", "pred": "69"}
+{"in": "sns.histplot(df['スギ花粉飛散量'],df['平均気温'])<sep>TypeError: histplot() takes from 0 to 1 positional arguments but 2 were given", "out": "23", "pred": "26"}
+{"in": "if X%100==0 and Xn==0:<sep>NameError: name 'Xn' is not defined", "out": "60", "pred": "60"}
+{"in": "sns.countplot(x='G3',hue='性別', data=df, color=\"#ffadad\",\"#87CEFA\")<sep>SyntaxError: positional argument follows keyword argument (<ipython-input>, line 2)", "out": "111", "pred": "113"}
+{"in": "s. sorted(s)<sep>AttributeError: 'list' object has no attribute 'sorted'", "out": "34", "pred": "34"}
+{"in": "plt.hist(スギ花粉飛散量)<sep>NameError: name 'スギ花粉飛散量' is not defined", "out": "65", "pred": "65"}
+{"in": "w＝ 42<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 1)", "out": "122", "pred": "122"}
+{"in": "elif B==c:<sep>NameError: name 'c' is not defined", "out": "60", "pred": "60"}
+{"in": "df.drop('平均気温',axis=1,head(5))<sep>SyntaxError: positional argument follows keyword argument (<ipython-input>, line 1)", "out": "111", "pred": "113"}
+{"in": "summ+=(1/n)<sep>NameError: name 'n' is not defined", "out": "60", "pred": "60"}
+{"in": "i += 1<sep>IndentationError: unexpected indent (<ipython-input>, line 33)", "out": "107", "pred": "107"}
+{"in": "if A[H][W]+A[H+1][W+1]>A[H+1][W]+A[H][W+1]:<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "for w in range(40, 100. 5):<sep>SyntaxError: invalid syntax (<ipython-input>, line 3)", "out": "86", "pred": "86"}
+{"in": "print('🐣',end='')<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 8)", "out": "123", "pred": "122"}
+{"in": "plt.scatter(df['犯罪率'],df['低所得率'],alpha=0.5,color='green')plt.xlim(0,0.1)<sep>SyntaxError: invalid syntax (<ipython-input>, line 2)", "out": "15", "pred": "86"}
+{"in": "BMI >= 18.50:<sep>SyntaxError: invalid syntax (<ipython-input>, line 4)", "out": "86", "pred": "106"}
+{"in": "y+=d<sep>NameError: name 'd' is not defined", "out": "60", "pred": "63"}
+{"in": "c=x.a<sep>AttributeError: 'int' object has no attribute 'a'", "out": "73", "pred": "73"}
+{"in": "print(A[i])<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "print(i,j)<sep>IndentationError: expected an indented block (<string>, line 15)", "out": "86", "pred": "86"}
+{"in": "print(m.ceil((Y-X)/10))<sep>NameError: name 'm' is not defined", "out": "60", "pred": "60"}
+{"in": "null_val = df.isnull().sum()<sep>IndentationError: expected an indented block (<ipython-input>, line 2)", "out": "86", "pred": "86"}
+{"in": "model.fit('平均気温', 'スギ花粉飛散量')<sep>NameError: name 'model' is not defined", "out": "60", "pred": "60"}
+{"in": "if int(S[2])==3:<sep>IndexError: string index out of range", "out": "140", "pred": "140"}
+{"in": "print((a*d)-(c:b))<sep>SyntaxError: invalid syntax (<string>, line 4)", "out": "15", "pred": "125"}
+{"in": "a=[a,s,c]<sep>NameError: name 'a' is not defined", "out": "65", "pred": "60"}
+{"in": "r#ound(\"n\" ,num1)<sep>NameError: name 'r' is not defined", "out": "60", "pred": "60"}
+{"in": "print(df[母学歴].value_counts())<sep>NameError: name '母学歴' is not defined", "out": "65", "pred": "65"}
+{"in": "b = (50.0, 100.0 * math.sin(th))<sep>NameError: name 'th' is not defined", "out": "60", "pred": "60"}
+{"in": "a += (1/((2*n)-1)) * ((-1)**(n+!))<sep>SyntaxError: invalid syntax (<ipython-input>, line 4)", "out": "15", "pred": "86"}
+{"in": "df.stats.pearsonr('降水量', 'スギ花粉飛散量')<sep>AttributeError: 'DataFrame' object has no attribute 'stats'", "out": "13", "pred": "13"}
+{"in": "summ+=(1/num)<sep>NameError: name 'summ' is not defined", "out": "63", "pred": "63"}
+{"in": "for column2 in df.column[:-1]:<sep>AttributeError: 'DataFrame' object has no attribute 'column'", "out": "15", "pred": "15"}
+{"in": "pd.pivot_table(df, index=\"血液型\" , colums=\"身長\")<sep>TypeError: pivot_table() got an unexpected keyword argument 'colums'", "out": "19", "pred": "19"}
+{"in": "A,B,C=map(int,input().split())<sep>KeyboardInterrupt:", "out": "47", "pred": "47"}
+{"in": "if janken()<sep>SyntaxError: invalid syntax (<ipython-input>, line 35)", "out": "106", "pred": "115"}
+{"in": "np.random.<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "15", "pred": "98"}
+{"in": "i.append('0')<sep>AttributeError: 'str' object has no attribute 'append'", "out": "38", "pred": "38"}
+{"in": "plt.figure(figsize=(7, 7))<sep>NameError: name 'plt' is not defined", "out": "12", "pred": "12"}
+{"in": "df['平均気温']<sep>KeyError: '平均気温'", "out": "69", "pred": "69"}
+{"in": "s[:pos], pos[pos+1:] => rpartition<sep>SyntaxError: invalid syntax (<ipython-input>, line 3)", "out": "10", "pred": "86"}
+{"in": "df= read_csv('pollen.csv', sep=',')<sep>NameError: name 'read_csv' is not defined", "out": "12", "pred": "12"}
+{"in": "sorted(df['平均気温']).ascend()<sep>AttributeError: 'list' object has no attribute 'ascend'", "out": "4", "pred": "15"}
+{"in": "train['area'] = le.fit_transform(train['area'])<sep>KeyError: 'area'", "out": "69", "pred": "69"}
+{"in": "df３.drop('身長_y', axis=1, inplace=True)<sep>KeyError: \"['身長_y'] not found in axis\"", "out": "69", "pred": "69"}
+{"in": "A, B = map(int,input().split())<sep>KeyboardInterrupt:", "out": "47", "pred": "47"}
+{"in": "r,p=pearsonrr(df[column],df['G3'])<sep>NameError: name 'pearsonrr' is not defined", "out": "11", "pred": "11"}
+{"in": "x=random.random()<sep>NameError: name 'random' is not defined", "out": "12", "pred": "12"}
+{"in": "X_train = X_train_c1_a_05[[ 'p', 'r', 'i', 'n', 't', 'Shift', '(' ]]<sep>KeyError: \"None of [Index(['p', 'r', 'i', 'n', 't', 'Shift', '('], dtype='object')] are in the [columns]\"", "out": "69", "pred": "70"}
+{"in": "c.add(c2)#c2のカウントを足す<sep>AttributeError: 'Counter' object has no attribute 'add'", "out": "68", "pred": "68"}
+{"in": "sns.boxplot(x=df['学校名'], y=df['最終成績'], order=order_by)<sep>KeyError: '最終成績'", "out": "69", "pred": "69"}
+{"in": "print(sep(x))<sep>NameError: name 'sep' is not defined", "out": "147", "pred": "11"}
+{"in": "X_train, X_test, y_train, y_test = train_test_split(X, y,test_size=10000, random_state=0,<sep>NameError: name 'X' is not defined", "out": "60", "pred": "60"}
+{"in": "sum(n)+=i<sep>SyntaxError: can't assign to function call (<ipython-input>, line 3)", "out": "129", "pred": "129"}
+{"in": "procedure bubbleSort( A : list of sortable items ) defined as:<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "101", "pred": "101"}
+{"in": "N=n.replace('1','9')<sep>AttributeError: 'int' object has no attribute 'replace'", "out": "41", "pred": "41"}
+{"in": "if l[2*i]>l[2*i+1]:<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "ans = min(ans, abs(Ai-B[j]), abs(Ai-B[j+1]))<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "plt.hist(df['住宅価格'],bin=20)<sep>AttributeError: 'Rectangle' object has no property 'bin'", "out": "15", "pred": "15"}
+{"in": "keys_list(df_key['keys'][0])<sep>KeyError: 0", "out": "54", "pred": "69"}
+{"in": "df6.drop('生年月日','ポジション','背番号','投', axis=1, inplace=True)<sep>TypeError: drop() got multiple values for argument 'axis'", "out": "50", "pred": "50"}
+{"in": "train['Cabin'].describe()<sep>KeyError: 'Cabin'", "out": "69", "pred": "69"}
+{"in": "aa=a.sorted()<sep>AttributeError: 'list' object has no attribute 'sorted'", "out": "34", "pred": "34"}
+{"in": "def __init__(self, name height, weight):<sep>SyntaxError: invalid syntax (<ipython-input>, line 5)", "out": "110", "pred": "86"}
+{"in": "df.drop('datetime', axis=1, inplace=True)<sep>KeyError: \"['datetime'] not found in axis\"", "out": "69", "pred": "69"}
+{"in": "if X[i] == X[i+1]:<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "df['住宅価格'].descrie()<sep>AttributeError: 'Series' object has no attribute 'descrie'", "out": "15", "pred": "15"}
+{"in": "X_train = train[['Sex', 'Age', 'Fare','SibSp','Pclass','parch']]<sep>KeyError: \"['parch'] not in index\"", "out": "69", "pred": "69"}
+{"in": "plt.scatter(df['降水量'], df['スギ花粉飛散量'])<sep>NameError: name 'df' is not defined", "out": "59", "pred": "59"}
+{"in": "X = ['Pclass', 'Age', 'Sex', 'SibSp', 'Parch', 'Fare'].values<sep>AttributeError: 'list' object has no attribute 'values'", "out": "36", "pred": "36"}
+{"in": "df = pd.DataFrame({'PassengerId','sex': test['PassengerId'<'sex'], 'Survived': y_pred})<sep>SyntaxError: invalid syntax (<ipython-input>, line 2)", "out": "86", "pred": "86"}
+{"in": "X = df[[[column],[column]]]<sep>KeyError: \"None of [Index([('犯罪率',), ('犯罪率',)], dtype='object')] are in the [columns]\"", "out": "70", "pred": "70"}
+{"in": "train = train.drop([ \"PassengerId\"] , axis = 1)<sep>KeyError: \"['PassengerId'] not found in axis\"", "out": "69", "pred": "69"}
+{"in": "s[:pos], pos[pos+1:] => rpartition<sep>SyntaxError: invalid syntax (<ipython-input>, line 2)", "out": "10", "pred": "86"}
+{"in": "print(c[j][i])<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "for n in range(100,1000,10)<sep>SyntaxError: invalid syntax (<string>, line 3)", "out": "106", "pred": "115"}
+{"in": "df = pd.concat([train_df, test_df], ignore_index=True)<sep>NameError: name 'train_df' is not defined", "out": "59", "pred": "59"}
+{"in": "X_test = test['Pclass','Sex', 'Age','Fare','Embarked']<sep>KeyError: ('Pclass', 'Sex', 'Age', 'Fare', 'Embarked')", "out": "85", "pred": "85"}
+{"in": "print(no.array(scores).mean())<sep>NameError: name 'no' is not defined", "out": "60", "pred": "60"}
+{"in": "plt.hist(df[\"文字数\"])<sep>NameError: name 'df' is not defined", "out": "59", "pred": "59"}
+{"in": "X = df[['temperature', 'curry','month','week_num','weather_num','kcal','day','otanoshimi','soldout','name_num','payday','event_num','pceipitation_num']]<sep>KeyError: \"['pceipitation_num'] not in index\"", "out": "69", "pred": "69"}
+{"in": "else<sep>SyntaxError: invalid syntax (<string>, line 5)", "out": "115", "pred": "115"}
+{"in": "animals = [Chikin(), Penguin(), Sheep(), Dog('Hachi')]<sep>TypeError: __init__() missing 1 required positional argument: 'name'", "out": "30", "pred": "30"}
+{"in": "print(pi*4)<sep>NameError: name 'pi' is not defined", "out": "60", "pred": "60"}
+{"in": "print(\"MSE: \", mean_squared_error(_test, y_pred))<sep>NameError: name '_test' is not defined", "out": "60", "pred": "60"}
+{"in": "BMI＝w/(h * h)<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 3)", "out": "122", "pred": "122"}
+{"in": "class Dog(onject):<sep>NameError: name 'onject' is not defined", "out": "11", "pred": "11"}
+{"in": "print(col)<sep>NameError: name 'col' is not defined", "out": "60", "pred": "60"}
+{"in": "データフレームをcsvファイルに保存<sep>NameError: name 'データフレームをcsvファイルに保存' is not defined", "out": "10", "pred": "10"}
+{"in": "n = map(int(input().split()))<sep>TypeError: int() argument must be a string, a bytes-like object or a number, not 'list'", "out": "144", "pred": "144"}
+{"in": "k_l.append([i.j])<sep>AttributeError: 'str' object has no attribute 'j'", "out": "73", "pred": "38"}
+{"in": "X_train = X_train_all[sample_list]<sep>KeyError: \"None of [Index([('ArrowRight', 'ArrowRight'),          ('ArrowRight', '='),\\n                ('ArrowRight', 'h'),      ('ArrowRight', 'SPACE'),\\n                ('ArrowRight', 'b'),          ('ArrowRight', 'r'),\\n                ('ArrowRight', ','),          ('ArrowRight', 'g'),\\n                ('ArrowRight', 'm'),          ('ArrowRight', ']'),\\n       ...\\n                         (')', 'f'),                   (')', '0'),\\n                         (')', '['),                   (')', 'y'),\\n                         (')', 'c'),                   (')', 't'),\\n                         (')', 'x'),           (')', 'Backspace'),\\n                         (')', 'n'),                   (')', ')')],\\n      dtype='object', length=1600)] are in the [columns]\"", "out": "69", "pred": "70"}
+{"in": "n+=int(i)-int(min(A))<sep>TypeError: int() argument must be a string, a bytes-like object or a number, not 'list'", "out": "144", "pred": "144"}
+{"in": "A < 300<sep>NameError: name 'A' is not defined", "out": "60", "pred": "60"}
+{"in": "for i in range(l[N][0], l[N][1]):<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "print(token)<sep>NameError: name 'token' is not defined", "out": "60", "pred": "60"}
+{"in": "prin(ans)<sep>NameError: name 'prin' is not defined", "out": "11", "pred": "11"}
+{"in": "scipy.stats.pearsonr(df['降水量'], df['スギ花粉飛散量'])<sep>NameError: name 'scipy' is not defined", "out": "12", "pred": "12"}
+{"in": "if i!=int(min(A)):<sep>TypeError: int() argument must be a string, a bytes-like object or a number, not 'list'", "out": "144", "pred": "144"}
+{"in": "x = chr(p[i] + 26)<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": ">>>出力結果<sep>SyntaxError: invalid syntax (<ipython-input>, line 5)", "out": "100", "pred": "106"}
+{"in": "plt.figure(figsize=15,15)<sep>SyntaxError: positional argument follows keyword argument (<ipython-input>, line 1)", "out": "111", "pred": "113"}
+{"in": "index(a.min())<sep>NameError: name 'index' is not defined", "out": "147", "pred": "151"}
+{"in": "A.sort()<sep>NameError: name 'A' is not defined", "out": "60", "pred": "60"}
+{"in": "if x%2==0:<sep>IndentationError: expected an indented block (<ipython-input>, line 2)", "out": "86", "pred": "86"}
+{"in": "plt.plot(x='西暦',y='降水量')<sep>TypeError: plot got an unexpected keyword argument 'x'", "out": "19", "pred": "19"}
+{"in": "x+=A[i]<sep>NameError: name 'x' is not defined", "out": "63", "pred": "63"}
+{"in": "PersonW.info()<sep>TypeError: info() missing 1 required positional argument: 'self'", "out": "30", "pred": "30"}
+{"in": "df_y = df[0]<sep>KeyError: 0", "out": "54", "pred": "69"}
+{"in": "moji = chr(P[j+97])<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "if s[-3]==i:<sep>NameError: name 'i' is not defined", "out": "60", "pred": "60"}
+{"in": "N.instert(0,0)<sep>AttributeError: 'str' object has no attribute 'instert'", "out": "15", "pred": "37"}
+{"in": "X_train_numa_p = pd.read_csv(\"/Users:/shion/Desktop/OJT/numa-chan/train_Numa_print.csv\")<sep>FileNotFoundError: [Errno 2] No such file or directory: '/Users:/shion/Desktop/OJT/numa-chan/train_Numa_print.csv'", "out": "33", "pred": "33"}
+{"in": "df4 = pd.merge(df, df2, df3, on=('身長', '体重'), how='outer')<sep>TypeError: merge() got multiple values for argument 'how'", "out": "50", "pred": "50"}
+{"in": "a.remove(k)<sep>NameError: name 'k' is not defined", "out": "60", "pred": "60"}
+{"in": "<sep>NameError: name 'b' is not defined", "out": "60", "pred": "60"}
+{"in": "平均値＝df['通勤'].mean()<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 1)", "out": "122", "pred": "122"}
+{"in": "D=A−B<sep>SyntaxError: invalid character in identifier (<string>, line 4)", "out": "122", "pred": "122"}
+{"in": "df.drop('ポジション',axis=1,inplsce=True)<sep>TypeError: drop() got an unexpected keyword argument 'inplsce'", "out": "19", "pred": "19"}
+{"in": "print(x\"は偶数です\")<sep>SyntaxError: invalid syntax (<ipython-input>, line 3)", "out": "110", "pred": "110"}
+{"in": "S, T = map(str, input().split())<sep>KeyboardInterrupt:", "out": "47", "pred": "47"}
+{"in": "if (S[2*i-1].isupper() or S[2*i].islower()) and 2*i-1<=len(S):<sep>IndexError: string index out of range", "out": "140", "pred": "140"}
+{"in": "scpiy.stats.pearsonr('降水量', 'スギ花粉飛散量')<sep>NameError: name 'scpiy' is not defined", "out": "12", "pred": "11"}
+{"in": "b=A[e]<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "return self._sslobj.read(len, buffer)<sep>KeyboardInterrupt:", "out": "47", "pred": "47"}
+{"in": "show(lives)<sep>NameError: name 'show' is not defined", "out": "147", "pred": "147"}
+{"in": "print(AB)<sep>NameError: name 'AB' is not defined", "out": "64", "pred": "60"}
+{"in": "df('犯罪率')<sep>TypeError: 'DataFrame' object is not callable", "out": "52", "pred": "80"}
+{"in": "X = df[['資産','築年']]<sep>KeyError: \"['資産'] not in index\"", "out": "69", "pred": "69"}
+{"in": "r=corr(df[col],df.['G3'])<sep>SyntaxError: invalid syntax (<ipython-input>, line 2)", "out": "86", "pred": "86"}
+{"in": "test['Sex'] = test['Sex'].map(int(){'male':0, 'female':1})<sep>SyntaxError: invalid syntax (<ipython-input>, line 2)", "out": "99", "pred": "86"}
+{"in": "plt.plot(h,weight,label=\"BMI18\")<sep>NameError: name 'weight' is not defined", "out": "60", "pred": "60"}
+{"in": "df = pd.read_csv(\"file.tsv\")<sep>NameError: name 'pd' is not defined", "out": "12", "pred": "12"}
+{"in": "l=print(str(m.replace('1','9')))<sep>AttributeError: 'NoneType' object has no attribute 'replace'", "out": "45", "pred": "45"}
+{"in": "a,b,c,d=map(int,input.split())<sep>AttributeError: 'function' object has no attribute 'split'", "out": "86", "pred": "41"}
+{"in": "hanoi(4, x, y, z)<sep>NameError: name 'x' is not defined", "out": "60", "pred": "60"}
+{"in": "while i<n:<sep>NameError: name 'n' is not defined", "out": "60", "pred": "60"}
+{"in": "S.add(L)<sep>AttributeError: 'dict' object has no attribute 'add'", "out": "46", "pred": "46"}
+{"in": "if A==B:<sep>SyntaxError: invalid syntax (<string>, line 3)", "out": "125", "pred": "115"}
+{"in": "mount[a] = int(b)<sep>NameError: name 'mount' is not defined", "out": "60", "pred": "60"}
+{"in": "print(f'{int(d[y,x]):3d}', end=' ')<sep>NameError: name 'd' is not defined", "out": "60", "pred": "60"}
+{"in": "X = ','. joined(ST)<sep>AttributeError: 'str' object has no attribute 'joined'", "out": "15", "pred": "15"}
+{"in": "k=int(print())<sep>TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'", "out": "144", "pred": "144"}
+{"in": "'N'='list'(map(int,input().split()))<sep>SyntaxError: can't assign to literal (<string>, line 2)", "out": "127", "pred": "127"}
+{"in": "plt.scatter(df['部屋数'],df['住宅価格'],alpha=0.5,cplor=purple)<sep>NameError: name 'purple' is not defined", "out": "65", "pred": "65"}
+{"in": "df.read_csv('pollen.csv', sep='\\t')<sep>NameError: name 'df' is not defined", "out": "11", "pred": "11"}
+{"in": "'AST_GOT,<sep>SyntaxError: EOL while scanning string literal (<ipython-input>, line 6)", "out": "131", "pred": "131"}
+{"in": "print(math.mod(N / 100))<sep>NameError: name 'math' is not defined", "out": "12", "pred": "12"}
+{"in": "s.append('1 2')<sep>AttributeError: 'str' object has no attribute 'append'", "out": "38", "pred": "38"}
+{"in": "A,B,(map(int,input().splist())<sep>SyntaxError: unexpected EOF while parsing (<string>, line 2)", "out": "88", "pred": "88"}
+{"in": "A, B = map(int, input().split())<sep>KeyboardInterrupt: Interrupted by user", "out": "47", "pred": "47"}
+{"in": "elif<sep>SyntaxError: invalid syntax (<ipython-input>, line 3)", "out": "90", "pred": "99"}
+{"in": "df = pd.read_csv('pollen,csv')<sep>FileNotFoundError: [Errno 2] No such file or directory: 'pollen,csv'", "out": "33", "pred": "33"}
+{"in": "df4 = pd.merge(df, df2, df3, on='名前',how='outer')<sep>TypeError: merge() got multiple values for argument 'how'", "out": "50", "pred": "50"}
+{"in": "if S[3-1] == S[4-1] and S[5-1] == S[6-1]:<sep>IndexError: tuple index out of range", "out": "138", "pred": "139"}
+{"in": "s = s/lower()<sep>NameError: name 'lower' is not defined", "out": "79", "pred": "60"}
+{"in": "df = pd.read_csv('ja.csv')<sep>FileNotFoundError: [Errno 2] No such file or directory: 'ja.csv'", "out": "33", "pred": "33"}
+{"in": "test=pd.read_csv(\"test.csv\")<sep>FileNotFoundError: [Errno 2] No such file or directory: 'test.csv'", "out": "33", "pred": "33"}
+{"in": "r=s.remove(0,2)<sep>TypeError: remove() takes exactly one argument (2 given)", "out": "23", "pred": "24"}
+{"in": "y_pred = model.predict(X_test)<sep>AttributeError: 'PolynomialFeatures' object has no attribute 'predict'", "out": "42", "pred": "42"}
+{"in": "Sx,Sy,Gx,Gy=map(int, input().split(),'{:10}'.format(num))<sep>NameError: name 'num' is not defined", "out": "60", "pred": "60"}
+{"in": "df.data()<sep>NameError: name 'df' is not defined", "out": "59", "pred": "59"}
+{"in": "print(f'N={i}'.calc_pi(i))<sep>AttributeError: 'str' object has no attribute 'calc_pi'", "out": "109", "pred": "73"}
+{"in": "for x in range(M):<sep>IndentationError: unexpected indent (<ipython-input>, line 3)", "out": "107", "pred": "107"}
+{"in": "newdata.append(BMI1)<sep>NameError: name 'BMI1' is not defined", "out": "60", "pred": "60"}
+{"in": "a == 0<sep>NameError: name 'a' is not defined", "out": "60", "pred": "60"}
+{"in": "X = df[['temperature']] #一つ選ぶ<sep>KeyError: \"None of [Index(['temperature'], dtype='object')] are in the [columns]\"", "out": "69", "pred": "69"}
+{"in": "return float(s)<sep>IndentationError: unexpected indent (<ipython-input>, line 3)", "out": "107", "pred": "107"}
+{"in": "c=Counter()<sep>NameError: name 'Counter' is not defined", "out": "149", "pred": "149"}
+{"in": "print(int(float('A',K)))<sep>TypeError: float expected at most 1 arguments, got 2", "out": "23", "pred": "23"}
+{"in": "for i in range():<sep>TypeError: range expected 1 arguments, got 0", "out": "27", "pred": "27"}
+{"in": "y_pred = model.predect(X)<sep>AttributeError: 'LinearRegression' object has no attribute 'predect'", "out": "15", "pred": "15"}
+{"in": "s,t=input(),split()<sep>NameError: name 'split' is not defined", "out": "76", "pred": "76"}
+{"in": "X = df[['week_num','weather_num','payday','temperature','kcal','soldout']]  # 価格以外を全て説明変数に<sep>KeyError: \"['week_num', 'weather_num'] not in index\"", "out": "69", "pred": "69"}
+{"in": "if x>0:　#コロン<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 2)", "out": "123", "pred": "122"}
+{"in": "for name , blood in zip(df['名前'], df['血液']):<sep>KeyError: '血液'", "out": "69", "pred": "69"}
+{"in": "plt.scatter(df['payday'], df['tempreture'])<sep>KeyError: 'tempreture'", "out": "69", "pred": "69"}
+{"in": "PyErr_CheckSignals()<sep>KeyboardInterrupt:", "out": "47", "pred": "47"}
+{"in": "if (S[2*i-1].isupper() or S[2*i].islower()) and 2*i-1<=len(S):<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "print(r.frac())<sep>AttributeError: 'Ratio' object has no attribute 'frac'", "out": "68", "pred": "68"}
+{"in": "for i in range(1,100);<sep>SyntaxError: invalid syntax (<ipython-input>, line 4)", "out": "117", "pred": "106"}
+{"in": "data[1,2,3,4,5,7] #データ列(リスト)<sep>NameError: name 'data' is not defined", "out": "60", "pred": "60"}
+{"in": "S[1],S[2],S[3] = S[3],S[1],S[2]<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "pd.read_csv('file.xlsx')<sep>FileNotFoundError: [Errno 2] No such file or directory: 'file.xlsx'", "out": "33", "pred": "33"}
+{"in": "plt.scatter(df['temperature'], df['販売数'])<sep>KeyError: '販売数'", "out": "69", "pred": "69"}
+{"in": "N,K=map(str,input().split)<sep>TypeError: 'builtin_function_or_method' object is not iterable", "out": "73", "pred": "73"}
+{"in": "x=5<sep>IndentationError: expected an indented block (<ipython-input>, line 2)", "out": "86", "pred": "86"}
+{"in": "train['Title'] = df['Name'].map(lambda x: x.split(', ')[1].split('. ')[0])<sep>KeyError: 'Name'", "out": "69", "pred": "69"}
+{"in": "if p[i]==x:<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "df_train[['index']]<sep>KeyError: \"None of [Index(['index'], dtype='object')] are in the [columns]\"", "out": "69", "pred": "69"}
+{"in": "train.drop(['SibSp', 'Parch'], axis=1,inplace=True)<sep>KeyError: \"['SibSp' 'Parch'] not found in axis\"", "out": "69", "pred": "69"}
+{"in": "fpr, tpr, thresholds = roc_curve(test_y, pred, pos_label=1)<sep>NameError: name 'roc_curve' is not defined", "out": "60", "pred": "12"}
+{"in": "sklearn.ensemble.StackingClassifier()<sep>NameError: name 'sklearn' is not defined", "out": "12", "pred": "12"}
+{"in": "A = list(set(list(map(int,input().split())))).sorted()<sep>AttributeError: 'list' object has no attribute 'sorted'", "out": "34", "pred": "73"}
+{"in": "df_all = pd.merge(df_name,df,on='name')<sep>KeyError: 'name'", "out": "69", "pred": "69"}
+{"in": "for name in df.dtypes[df.dtypes == 'object'].index:<sep>NameError: name 'df' is not defined", "out": "59", "pred": "59"}
+{"in": "X = df['通勤','教員比']<sep>KeyError: ('通勤', '教員比')", "out": "85", "pred": "85"}
+{"in": "df.fead()<sep>AttributeError: 'DataFrame' object has no attribute 'fead'", "out": "15", "pred": "15"}
+{"in": "A = list(input().split,)<sep>TypeError: 'builtin_function_or_method' object is not iterable", "out": "73", "pred": "73"}
+{"in": "if ss.isuppper():<sep>AttributeError: 'str' object has no attribute 'isuppper'", "out": "15", "pred": "15"}
+{"in": "plt. legend([str(df[\"部屋数\"].describe())])<sep>SyntaxError: invalid syntax (<ipython-input>, line 2)", "out": "125", "pred": "86"}
+{"in": "ans+=S[i]<sep>IndexError: string index out of range", "out": "140", "pred": "140"}
+{"in": "else:<sep>SyntaxError: unexpected EOF while parsing (<string>, line 7)", "out": "93", "pred": "88"}
+{"in": "A = list(A[H])<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "def clac(s:str)->:<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "86", "pred": "86"}
+{"in": "if d=3<sep>SyntaxError: invalid syntax (<ipython-input>, line 10)", "out": "132", "pred": "115"}
+{"in": "ans += list2[j]*int(cal_num[j])<sep>IndexError: list index out of range", "out": "139", "pred": "139"}
+{"in": "print(A, ' ', B)<sep>IndentationError: expected an indented block (<string>, line 14)", "out": "86", "pred": "86"}
+{"in": "for animal in animals:<sep>SyntaxError: unexpected EOF while parsing (<ipython-input>, line 1)", "out": "93", "pred": "88"}
+{"in": "h = int(input(\"身長は？(cm)\"))<sep>KeyboardInterrupt: Interrupted by user", "out": "47", "pred": "47"}
+{"in": "im = Image.open(\"3.png\")<sep>FileNotFoundError: [Errno 2] No such file or directory: '3.png'", "out": "33", "pred": "33"}
+{"in": "A_lower.append(S)<sep>NameError: name 'A_lower' is not defined", "out": "61", "pred": "61"}
+{"in": "print('身長 : ' + str(self.height()) + 'cm')<sep>TypeError: 'float' object is not callable", "out": "51", "pred": "51"}
+{"in": "print (Ratio(2/4))<sep>TypeError: __init__() missing 1 required positional argument: 'bottom'", "out": "30", "pred": "30"}
+{"in": "print(f'正解率(訓練)', model.score(X_train, y_train))<sep>NameError: name 'X_train' is not defined", "out": "60", "pred": "60"}
+{"in": "best_model = clf.best_estimator_<sep>NameError: name 'clf' is not defined", "out": "60", "pred": "60"}
+{"in": "A,B=map(input())<sep>TypeError: map() must have at least two arguments.", "out": "29", "pred": "29"}
+{"in": "df=pd.read_csv('/content/sample_data/california_housing_train.csv'<sep>SyntaxError: unexpected EOF while parsing (<ipython-input>, line 1)", "out": "88", "pred": "88"}
+{"in": "df,head(5)<sep>NameError: name 'head' is not defined", "out": "76", "pred": "76"}
+{"in": "if i%2 != 0 and S[i].isupper() and S[i+1].islower():<sep>IndexError: string index out of range", "out": "140", "pred": "140"}
+{"in": "df['GENDER_num'] = df['GENDER'].map({'M': 0, 'F': 1})<sep>KeyError: 'GENDER'", "out": "69", "pred": "69"}
+{"in": "コギ―君<sep>SyntaxError: invalid character in identifier (<ipython-input>, line 1)", "out": "122", "pred": "122"}
+{"in": "model.fit(X,y)<sep>NameError: name 'model' is not defined", "out": "60", "pred": "60"}
+{"in": "for key, df_name in df.groupby('カレー'):<sep>KeyError: 'カレー'", "out": "69", "pred": "69"}
+{"in": "return lives<sep>SyntaxError: 'return' outside function (<ipython-input>, line 14)", "out": "137", "pred": "137"}
+{"in": "le = preprocessing.LabelEncoder()<sep>NameError: name 'preprocessing' is not defined", "out": "60", "pred": "12"}
+{"in": "df.drop(\"黒人\",axis=1,inplace=True)<sep>KeyError: \"['黒人'] not found in axis\"", "out": "69", "pred": "69"}
+{"in": "x+=[0]*(abs(n-k+1)))<sep>SyntaxError: invalid syntax (<string>, line 7)", "out": "86", "pred": "86"}
+{"in": "for column in df.columns:<sep>NameError: name 'df' is not defined", "out": "59", "pred": "59"}
+{"in": "pred = result.predict(X)<sep>NameError: name 'result' is not defined", "out": "60", "pred": "60"}
+{"in": "con+= a-1<sep>NameError: name 'a' is not defined", "out": "60", "pred": "63"}
+{"in": "rho, ? = pearsonr(df['降水量'],df['スギ花粉飛散量'])<sep>SyntaxError: invalid syntax (<ipython-input>, line 3)", "out": "86", "pred": "86"}
+{"in": "def __init__(self.start,end):<sep>SyntaxError: invalid syntax (<ipython-input>, line 2)", "out": "86", "pred": "86"}
+{"in": "print(name)<sep>NameError: name 'name' is not defined", "out": "60", "pred": "60"}
+{"in": "print(n.translate('1','9'))<sep>TypeError: translate() takes exactly one argument (2 given)", "out": "23", "pred": "24"}
+{"in": "plt.plot(range(40, 100, 5),H):<sep>SyntaxError: invalid syntax (<ipython-input>, line 6)", "out": "86", "pred": "86"}
+{"in": "animals = [Chikin(), Sheep(), Dog()]<sep>TypeError: __init__() missing 1 required positional argument: 'name'", "out": "30", "pred": "30"}
+{"in": "h =math.sqrt(w / 22)<sep>NameError: name 'math' is not defined", "out": "12", "pred": "12"}
+{"in": "plt.hist(df['住宅価格'], bin=15)<sep>AttributeError: 'Rectangle' object has no property 'bin'", "out": "15", "pred": "15"}
+{"in": "if d ==11 or d ==22 d == 33 d == 44:<sep>SyntaxError: invalid syntax (<ipython-input>, line 8)", "out": "86", "pred": "86"}
+{"in": "\"1+10\":1+10<sep>SyntaxError: illegal target for annotation (<ipython-input>, line 2)", "out": "10", "pred": "86"}
+{"in": "a = n<sep>NameError: name 'n' is not defined", "out": "60", "pred": "60"}
+{"in": "df['住宅価格']<sep>NameError: name 'df' is not defined", "out": "59", "pred": "59"}
+{"in": "plt.boxplot(df['父親の職業'])<sep>KeyError: '父親の職業'", "out": "69", "pred": "69"}
+{"in": "N=NN % 10<sep>NameError: name 'NN' is not defined", "out": "60", "pred": "60"}
+{"in": "a, b, c, d = map(int, input(), split())<sep>NameError: name 'split' is not defined", "out": "76", "pred": "76"}
+{"in": "c=a+b:<sep>SyntaxError: invalid syntax (<string>, line 4)", "out": "86", "pred": "125"}
+{"in": "h=math.sqrt(w/22)*100<sep>NameError: name 'math' is not defined", "out": "12", "pred": "12"}
+{"in": "A,B=map()(int,input().split))<sep>SyntaxError: invalid syntax (<ipython-input>, line 1)", "out": "86", "pred": "86"}
+{"in": "lives[y, x]<sep>NameError: name 'y' is not defined", "out": "60", "pred": "60"}
+{"in": "df.read_csv('file.csv', sep=',')<sep>NameError: name 'df' is not defined", "out": "11", "pred": "11"}
+{"in": "print(len(ABCDE.set()))<sep>AttributeError: 'list' object has no attribute 'set'", "out": "2", "pred": "2"}
+{"in": "slack_key='T03A9DB4086/B03TC9FLKS4/1M0s6DYyjVl4zjithpoAvj87',<sep>KeyboardInterrupt:", "out": "47", "pred": "54"}
+{"in": "print(x[3],end='')<sep>IndexError: string index out of range", "out": "140", "pred": "140"}

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.28.1"
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:27b6b365d35f4a0dfea971b1dedf1847c2a19ba023de275a02b5fa4532d2551d
+size 1200769797

special_tokens_map.json

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+{
+  "eos_token": "</s>",
+  "pad_token": "<pad>",
+  "unk_token": "<unk>"
+}

spiece.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2fea3b4cc1b5c049581e7612bc7a9c1dc0b50bdc170751df757eacc24cdc082a
+size 4348048

t5marulog.jsonl

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+{"log": "trained", "date": "2023-08-25T17:15:59", "elapsed": "00:04:12", "model": "Roy029/mpyt5_e20", "max_length": 128, "target_max_length": 128, "batch_size": 32, "gradient_accumulation_steps": 1, "train_steps": 2700, "accelerator": "gpu", "devices": "auto", "precision": 32, "strategy": "auto", "gradient_clip_val": 1.0, "compile": true, "solver": "adamw", "lr": 0.0003, "warmup_steps": 1, "training_steps": 100000, "adam_epsilon": 1e-08, "weight_decay": 0.0, "epoch": 11, "step": 990, "saved": "error_label_mPyT5"}

tokenizer_config.json

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+{
+  "additional_special_tokens": null,
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "</s>",
+  "extra_ids": 0,
+  "is_fast": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "T5Tokenizer",
+  "unk_token": "<unk>"
+}