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Find all errors in this Pythoncode:Python code: import pickle import sys import nltk import numpy as np import pandas as pd from nltk.stem import WordNetLemmatizer from nltk.tokenize import word_tokenize from scipy.stats.mstats import gmean from sklearn.base import BaseEstimator, TransformerMixin from sklearn.ensemble import AdaBoostClassifier from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer from sklearn.metrics import classification_report, fbeta_score, make_scorer from sklearn.model_selection import GridSearchCV, train_test_split from sklearn.multioutput import MultiOutputClassifier from sklearn.pipeline import FeatureUnion, Pipeline from sqlalchemy import create_engine def load_data(database_filepath): """ Load Data Function: 1. Read input SQLite database generated by ETL 2. Split dataframe into Feature & Label Args: database_filepath (str): SQLite database file path Returns: Feature Dataframe, Label Dataframe, category_names used for data visualization in the app """ engine = create_engine('sqlite:///' + database_filepath) df = pd.read_sql_table('message_categories', engine) x = df['message'] y = df.iloc[:, 4:] category_names = y.columns return x, y, category_names def tokenize(text): """ Tokenize function to process text data including lemmatize, normalize case, and remove leading/trailing white space
|
Error Analysis: Error Type: HARD_CUT Error: SyntaxError / EOF Detected Errors: • Unterminated string literal at line 20 • SyntaxError: unterminated triple-quoted string literal (detected at line 44) at line 41 Fix: Complete the truncated code structure
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advanced
|
testing
|
error_detection
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Pythoncode:Python
| 5
| 1
| 1,419
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\nimport pickle\nimport sys\n\nimport nltk\nimport numpy as np\nimport pandas as pd\nfrom nltk.stem import WordNetLemmatizer\nfrom nltk.tokenize import word_tokenize\nfrom scipy.stats.mstats import gmean\nfrom sklearn.base import BaseEstimator, TransformerMixin\nfrom sklearn.ensemble import AdaBoostClassifier\nfrom sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer\nfrom sklearn.metrics import classification_report, fbeta_score, make_scorer\nfrom sklearn.model_selection import GridSearchCV, train_test_split\nfrom sklearn.multioutput import MultiOutputClassifier\nfrom sklearn.pipeline import FeatureUnion, Pipeline\nfrom sqlalchemy import create_engine\n\ndef load_data(database_filepath):\n \"\"\"\n Load Data Function:\n 1. Read input SQLite database generated by ETL\n 2. Split dataframe into Feature & Label\n \n Args:\n database_filepath (str): SQLite database file path\n\n Returns:\n Feature Dataframe, Label Dataframe, category_names used for data\n visualization in the app\n \"\"\"\n engine = create_engine('sqlite:///' + database_filepath)\n df = pd.read_sql_table('message_categories', engine)\n x = df['message']\n y = df.iloc[:, 4:]\n category_names = y.columns\n return x, y, category_names\n\n\ndef tokenize(text):\n \"\"\"\n Tokenize function to process text data including lemmatize, normalize\n case, and remove leading/trailing white space"}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: HARD_CUT\n Error: SyntaxError / EOF\n\n Detected Errors:\n \u2022 Unterminated string literal at line 20\n \u2022 SyntaxError: unterminated triple-quoted string literal (detected at line 44) at line 41\n\n Fix: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
3f49fc137aa8fa7e075c0d43384dcd2cec629402
|
TheStack--python--010.parquet
|
Fix this broken Pythoncode:Python code: # coding=utf-8 # Copyright 2021 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # python3 """Adagrad with fixed hyper parameter configurations.""" import numpy as np from task_set import registry from task_set.optimizers import utils import tensorflow.compat.v1 as tf def make_lr_optimizer(lr): def fn(): return tf.train.AdagradOptimizer(learning_rate=lr) Error: SyntaxError / EOF
|
Fixed Code: # coding=utf-8 # Copyright 2021 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # python3 """Adagrad with fixed hyper parameter configurations.""" import numpy as np from task_set import registry from task_set.optimizers import utils Explanation: Complete the truncated code structure
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intermediate
|
api
|
error_fixing
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Pythoncode:Python
| 5
| 0
| 893
| true
|
[{"role": "user", "content": "Fix this broken Pythoncode:Python code:\n# coding=utf-8\n# Copyright 2021 The Google Research Authors.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n# python3\n\"\"\"Adagrad with fixed hyper parameter configurations.\"\"\"\nimport numpy as np\nfrom task_set import registry\nfrom task_set.optimizers import utils\nimport tensorflow.compat.v1 as tf\n\n\ndef make_lr_optimizer(lr):\n\n def fn():\n return tf.train.AdagradOptimizer(learning_rate=lr)\n\n\n Error: SyntaxError / EOF"}, {"role": "assistant", "content": " Fixed Code:\n\n\n# coding=utf-8\n# Copyright 2021 The Google Research Authors.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n# python3\n\"\"\"Adagrad with fixed hyper parameter configurations.\"\"\"\nimport numpy as np\nfrom task_set import registry\nfrom task_set.optimizers import utils\n\n Explanation: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
3f4b1fb18bd62213e5124a39d168008c2c9fbdb7
|
TheStack--python--010.parquet
|
Explain this Pythoncode:Python code: import typing from apistar.compat import jinja2 class BaseTemplates(): def render_template(self, path: str, **context): raise NotImplementedError() class Templates(BaseTemplates): def __init__(self, template_dir: str=None, packages: typing.Sequence[str]=None, global_context: dict=None): if jinja2 is None: raise RuntimeError('`jinja2` must be installed to use `Templates`.') global_context = global_context if global_context else {} loader = jinja2.PrefixLoader({ package_name: jinja2.PackageLoader(package_name, 'templates') for package_name in packages }) if template_dir is not None: loader = jinja2.ChoiceLoader([ jinja2.FileSystemLoader(template_dir), loader ]) self.env = jinja2.Environment(autoescape=True, loader=loader) for key, value in global_context.items(): self.env.globals[key] = value def render_template(self, path: str, **context): template = self.env.get_template(path) return template.render(**context)
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Functions: render_template, __init__, render_template Classes: BaseTemplates, Templates This code demonstrates Pythoncode:Python programming.
|
advanced
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api
|
code_explanation
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Pythoncode:Python
| 3
| 2
| 1,180
| true
|
[{"role": "user", "content": "Explain this Pythoncode:Python code:\nimport typing\n\nfrom apistar.compat import jinja2\n\n\nclass BaseTemplates():\n def render_template(self, path: str, **context):\n raise NotImplementedError()\n\n\nclass Templates(BaseTemplates):\n def __init__(self,\n template_dir: str=None,\n packages: typing.Sequence[str]=None,\n global_context: dict=None):\n if jinja2 is None:\n raise RuntimeError('`jinja2` must be installed to use `Templates`.')\n\n global_context = global_context if global_context else {}\n\n loader = jinja2.PrefixLoader({\n package_name: jinja2.PackageLoader(package_name, 'templates')\n for package_name in packages\n })\n if template_dir is not None:\n loader = jinja2.ChoiceLoader([\n jinja2.FileSystemLoader(template_dir),\n loader\n ])\n\n self.env = jinja2.Environment(autoescape=True, loader=loader)\n for key, value in global_context.items():\n self.env.globals[key] = value\n\n def render_template(self, path: str, **context):\n template = self.env.get_template(path)\n return template.render(**context)"}, {"role": "assistant", "content": " Functions: render_template, __init__, render_template\n Classes: BaseTemplates, Templates\n This code demonstrates Pythoncode:Python programming."}]
| false
| null | null | null |
3f4b349f00b2ef0982fea2273a833aa453d100a9
|
TheStack--python--010.parquet
|
Debug this Pythoncode:Python code: import os def main(): cfgmap_path = "/configs/" secret_path = "/secrets/" if os.listdir(cfgmap_path) or os.listdir(secret_path): return "no", 400 return "yes", 200
|
Code analysis results: ⚠️ Warnings: Unexpected indentation at line 4 Unexpected indentation at line 5 Unexpected indentation at line 7 💡 Suggestions: Add docstring to function 'main'
|
beginner
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machine_learning
|
debugging
|
Pythoncode:Python
| 1
| 0
| 170
| true
|
[{"role": "user", "content": "Debug this Pythoncode:Python code:\nimport os\ndef main():\n\tcfgmap_path = \"/configs/\"\n\tsecret_path = \"/secrets/\"\n\tif os.listdir(cfgmap_path) or os.listdir(secret_path):\n\t\treturn \"no\", 400\n\treturn \"yes\", 200"}, {"role": "assistant", "content": " Code analysis results:\n\n\n\u26a0\ufe0f Warnings:\n Unexpected indentation at line 4\n Unexpected indentation at line 5\n Unexpected indentation at line 7\n\n\ud83d\udca1 Suggestions:\n Add docstring to function 'main'"}]
| false
| null | null | null |
3f4bd3f0f31ea72e405c0ad3fe97439ae22f0f3d
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: ''' Author: Edward J. C. Ashenbert ''' import numpy as np import math from scipy import linalg from string import Template class AlgebraEngine: def __init__(self): pass @staticmethod def transpose(input_matrix): try: assert (isinstance(input_matrix, np.ndarray)) return input_matrix.transpose() except: print("Input is not a numpy array!") @staticmethod def get_singular_value(input_matrix): try: assert (isinstance(input_matrix, np.ndarray)) singular_values = [] if input_matrix.shape[0] == input_matrix.shape[1]: for eigen_value in np.linalg.eigvals(input_matrix): if eigen_value != 0: singular_values.append(math.sqrt(eigen_value)) else: for eigen_value in np.linalg.eigvals(input_matrix.dot(input_matrix.transpose())): if eigen_value != 0: singular_values.append(math.sqrt(eigen_value)) return singular_values except: print("Input is not a numpy array!") @staticmethod def solve_ricatti(A, B, Q, R): return linalg.solve_discrete_are(A, B, Q, R) @staticmeth def solve_lyapunov_equation(A, Q): return linalg.solve_lyapunov(A, Q) @staticmethod def solve_sylvester_equation(A, B, C): ''' Bartels–Stewart algorithm :param A: :param Q: :return: ''' return linalg.solve_sylvester(A, B, C) @staticmethod def kronecker_product(A, B): return np.kron(A,B) @staticmethod def schur_decomposition(A): # return return np.kron(A, B) def __repr__(self): print("This engine is to implement transparently algebra notation require for control theory") if __name__ == "__main__": al = AlgebraEngine() a = np.zeros((2, 3)) a[0][0] = 1 a[0][1] = 2 a[0][2] = 3 a[1][0] = 4 a[1][1] = 5 a[1][2] = 6 print(AlgebraEngine.get_singular_value(a)) a = np.array([[0, 1], [0, -1]]) b = np.array([[1, 0], [2, 1]]) print(AlgebraEngine.kronecker_product(a,b)) q = np.array([[-4, -4], [-4, 7]]) r = np.array([[9, 3], [3, 1]]) print(AlgebraEngine.solve_ricatti(a, b, q, r)) import control control.care() # print(a.shape) # print(AlgebraEngine.transpose(a)) # print(type(a))
|
Error Analysis: Error Type: BROKEN_INDENTATION Error: IndentationError: unexpected indent Detected Errors: • Unterminated string literal at line 1 • Block at line 65 has no indented body • IndentationError at line 5 Fix: Fix indentation to match Python syntax rules
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advanced
|
testing
|
error_detection
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Pythoncode:Python
| 9
| 1
| 2,453
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\n'''\nAuthor: Edward J. C. Ashenbert\n'''\nimport numpy as np\n import math\nfrom scipy import linalg\nfrom string import Template\n\nclass AlgebraEngine:\n def __init__(self):\n pass\n\n @staticmethod\n def transpose(input_matrix):\n try:\n assert (isinstance(input_matrix, np.ndarray))\n return input_matrix.transpose()\n except:\n print(\"Input is not a numpy array!\")\n\n @staticmethod\n def get_singular_value(input_matrix):\n try:\n assert (isinstance(input_matrix, np.ndarray))\n singular_values = []\n if input_matrix.shape[0] == input_matrix.shape[1]:\n for eigen_value in np.linalg.eigvals(input_matrix):\n if eigen_value != 0:\n singular_values.append(math.sqrt(eigen_value))\n else:\n for eigen_value in np.linalg.eigvals(input_matrix.dot(input_matrix.transpose())):\n if eigen_value != 0:\n singular_values.append(math.sqrt(eigen_value))\n return singular_values\n except:\n print(\"Input is not a numpy array!\")\n\n @staticmethod\n def solve_ricatti(A, B, Q, R):\n return linalg.solve_discrete_are(A, B, Q, R)\n\n@staticmeth\n def solve_lyapunov_equation(A, Q):\n return linalg.solve_lyapunov(A, Q)\n\n @staticmethod\n def solve_sylvester_equation(A, B, C):\n '''\n Bartels\u2013Stewart algorithm\n :param A:\n :param Q:\n :return:\n '''\n return linalg.solve_sylvester(A, B, C)\n\n @staticmethod\n def kronecker_product(A, B):\n return np.kron(A,B)\n\n @staticmethod\n def schur_decomposition(A):\n # return\n return np.kron(A, B)\n\n def __repr__(self):\n\n print(\"This engine is to implement transparently algebra notation require for control theory\")\n\n\nif __name__ == \"__main__\":\n al = AlgebraEngine()\n\n a = np.zeros((2, 3))\n a[0][0] = 1\n a[0][1] = 2\n a[0][2] = 3\n a[1][0] = 4\n a[1][1] = 5\n a[1][2] = 6\n\n print(AlgebraEngine.get_singular_value(a))\n\n a = np.array([[0, 1], [0, -1]])\n b = np.array([[1, 0], [2, 1]])\n print(AlgebraEngine.kronecker_product(a,b))\n q = np.array([[-4, -4], [-4, 7]])\n r = np.array([[9, 3], [3, 1]])\n\n print(AlgebraEngine.solve_ricatti(a, b, q, r))\nimport control\n\ncontrol.care()\n\n# print(a.shape)\n# print(AlgebraEngine.transpose(a))\n# print(type(a))"}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: BROKEN_INDENTATION\n Error: IndentationError: unexpected indent\n\n Detected Errors:\n \u2022 Unterminated string literal at line 1\n \u2022 Block at line 65 has no indented body\n \u2022 IndentationError at line 5\n\n Fix: Fix indentation to match Python syntax rules"}]
| true
|
syntax
|
BROKEN_INDENTATION
|
MEDIUM
|
3f4c9f63beab8e0c93b17020ab3a83bba4cb0b20
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: # Licensed under a 3-clause BSD style license - see LICENSE.rst """Test registry functions.""" import numpy as np import sncosmo def test_register(): disp = np.array([4000., 4200., 4400., 4600., 4800., 5000.]) trans = np.array([0., 1., 1., 1., 1., 0.]) band = sncosmo.Bandpass(disp, trans, name='tophatg') sncosmo.registry.register(band) band2 = sncosmo.get_bandpass('tophatg') # make sure we can get back the band w
|
Error Analysis: Error Type: MID_STRING Error: SyntaxError: unterminated string literal Detected Errors: • Code truncated in middle of expression - unexpected EOF Fix: Close the string literal with matching quote
|
intermediate
|
testing
|
error_detection
|
Pythoncode:Python
| 3
| 0
| 445
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\n# Licensed under a 3-clause BSD style license - see LICENSE.rst\n\"\"\"Test registry functions.\"\"\"\n\nimport numpy as np\nimport sncosmo\n\n\ndef test_register():\n disp = np.array([4000., 4200., 4400., 4600., 4800., 5000.])\n trans = np.array([0., 1., 1., 1., 1., 0.])\n band = sncosmo.Bandpass(disp, trans, name='tophatg')\n sncosmo.registry.register(band)\n\n band2 = sncosmo.get_bandpass('tophatg')\n\n # make sure we can get back the band w"}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: MID_STRING\n Error: SyntaxError: unterminated string literal\n\n Detected Errors:\n \u2022 Code truncated in middle of expression - unexpected EOF\n\n Fix: Close the string literal with matching quote"}]
| true
|
syntax
|
MID_STRING
|
CRITICAL
|
3f4d1ba00ec514b69749972a0bee4bb24bb12e9b
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: from rdkit import DataStructs, Chem import numpy as np with open("data/drug_lists/depression/depression_drugs.txt", "r") as d: depression_drugs = d.read().split("\n") depression_smiles = ['CN(C)CCCC1(OCC2=C1C=CC(=C2)C#N)C1=CC=C(F)C=C1', 'CN(C)CCC[C@]1(OCC2=C1C=CC(=C2)C#N)C1=CC=C(F)C=C1', 'CNCCC(OC1=CC=C(C=C1)C(F)(F)F)C1=CC=CC=C1', 'COCCCC\C(=N/OCCN)C1=CC=C(C=C1)C(F)(F)F', 'FC1=CC=C(C=C1)[C@@H]1CCNC[C@H]1COC1=CC2=C(OCO2)C=C1', 'CN[C@H]1CC[C@@H](C2=CC(Cl)=C(Cl)C=C2)C2=CC=CC=C12', 'CNCC[C@H](OC1=CC=CC2=CC=CC=C12)C1=CC=CS1', 'COC1=CC=C(C=C1)C(CN(C)C)C1(O)CCCCC1', 'CN(C)CC(C1=CC=C(O)C=C1)C1(O)CCCCC1', 'CNCC[C@H](OC1=CC=CC2=CC=CC=C12)C1=CC=CS1', 'CCN(CC)C(=O)C1(CC1CN)C1=CC=CC=C1', 'COC1=CC=C(C=C1)C(CN(C)C)C1(O)CCCCC1', 'OC(=O)CCCCCCNC1C2=CC=CC=C2CCC2=CC=CC=C12', 'CC(NC(C)(C)C)C(=O)C1=CC(Cl)=CC=C1', 'COC(=O)C(C1CCCCN1)C1=CC=CC=C1', 'CN1CC(C2=CC=CC=C2)C2=C(C1)C(N)=CC=C2'] ds = zip(depression_drugs, depression_smiles) n = len(depression_smiles) d_dists = np.ones((n,n)) for i in range(0,n): for j in range(0,n): d_dists[i + 1][j] = DataStructs.FingerprintSimilarity(Chem.RDKFingerprint(Chem.MolFromSmiles(depression_smiles[i])), Chem.RDKFingerprint(Chem.MolFromSmiles(depression_smiles[j]))) np.savetxt('depression.csv', d_dists) with open("data/drug_lists/schizophrenia/schizophrenia_drugs.txt", "r") as s: schizophrenia_drugs = s.read().split("\n") schizophrenia_smiles = ['ClC1=CC=CC(N2CCN(CCCCOC3=CC4=C(CCC(=O)N4)C=C3)CC2)=C1Cl', 'CN1CCN(CC1)C1=NC2=CC(Cl)=CC=C2NC2=CC=CC=C12', 'CN1CCN(CC1)C1=NC2=CC=CC=C2NC2=C1C=C(C)S2', 'CC1=C(CCN2CCC(CC2)C2=NOC3=C2C=CC(F)=C3)C(=O)N2CCCC(O)C2=N1', '[H][C@@]12CCCC[C@]1([H])C(=O)N(CCCCN1CCN(CC1)C1=NSC3=CC=CC=C13)C2=O', 'CC1=C(CCN2CCC(CC2)C2=NOC3=C2C=CC(F)=C3)C(=O)N2CCCCC2=N1', 'CN(C)C(=O)N[C@H]1CC[C@H](CCN2CCN(CC2)C2=C(Cl)C(Cl)=CC=C2)CC1', 'OCCOCCN1CCN(CC1)C1=NC2=CC=CC=C2SC2=CC=CC=C12', 'CN(C)CCOC1=CC2=CC=CC=C2SC2=CC=C(Cl)C=C12'] ss = zip(schizophrenia_drugs, schizophrenia_smiles) m = len(schizophrenia_smiles) s_dists = np.ones((m,m)) for i in range(0,m): for j in range(0,m): s_dists[i][j] = DataStructs.FingerprintSimilarity(Chem.RDKFingerprint(Chem.MolFromSmiles(schizophrenia_smiles[i])), Chem.RDKFingerprint(Chem.MolFromSmiles(schizophrenia_smiles[j]))) np.savetxt('schizophrenia_similarities.csv', s_dists)
|
Error Analysis: Error Type: OFF_BY_ONE Error: OFF_BY_ONE Fix: Check loop bounds and array indices carefully
|
intermediate
|
data_processing
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error_detection
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Pythoncode:Python
| 0
| 0
| 2,302
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\nfrom rdkit import DataStructs, Chem\nimport numpy as np\n\nwith open(\"data/drug_lists/depression/depression_drugs.txt\", \"r\") as d:\n depression_drugs = d.read().split(\"\\n\")\n\ndepression_smiles = ['CN(C)CCCC1(OCC2=C1C=CC(=C2)C#N)C1=CC=C(F)C=C1', 'CN(C)CCC[C@]1(OCC2=C1C=CC(=C2)C#N)C1=CC=C(F)C=C1', 'CNCCC(OC1=CC=C(C=C1)C(F)(F)F)C1=CC=CC=C1', 'COCCCC\\C(=N/OCCN)C1=CC=C(C=C1)C(F)(F)F', 'FC1=CC=C(C=C1)[C@@H]1CCNC[C@H]1COC1=CC2=C(OCO2)C=C1', 'CN[C@H]1CC[C@@H](C2=CC(Cl)=C(Cl)C=C2)C2=CC=CC=C12', 'CNCC[C@H](OC1=CC=CC2=CC=CC=C12)C1=CC=CS1', 'COC1=CC=C(C=C1)C(CN(C)C)C1(O)CCCCC1', 'CN(C)CC(C1=CC=C(O)C=C1)C1(O)CCCCC1', 'CNCC[C@H](OC1=CC=CC2=CC=CC=C12)C1=CC=CS1', 'CCN(CC)C(=O)C1(CC1CN)C1=CC=CC=C1', 'COC1=CC=C(C=C1)C(CN(C)C)C1(O)CCCCC1', 'OC(=O)CCCCCCNC1C2=CC=CC=C2CCC2=CC=CC=C12', 'CC(NC(C)(C)C)C(=O)C1=CC(Cl)=CC=C1', 'COC(=O)C(C1CCCCN1)C1=CC=CC=C1', 'CN1CC(C2=CC=CC=C2)C2=C(C1)C(N)=CC=C2']\nds = zip(depression_drugs, depression_smiles)\n\nn = len(depression_smiles)\nd_dists = np.ones((n,n))\nfor i in range(0,n):\n for j in range(0,n):\n d_dists[i + 1][j] = DataStructs.FingerprintSimilarity(Chem.RDKFingerprint(Chem.MolFromSmiles(depression_smiles[i])), Chem.RDKFingerprint(Chem.MolFromSmiles(depression_smiles[j])))\n\nnp.savetxt('depression.csv', d_dists)\n\nwith open(\"data/drug_lists/schizophrenia/schizophrenia_drugs.txt\", \"r\") as s:\n schizophrenia_drugs = s.read().split(\"\\n\")\n\nschizophrenia_smiles = ['ClC1=CC=CC(N2CCN(CCCCOC3=CC4=C(CCC(=O)N4)C=C3)CC2)=C1Cl', 'CN1CCN(CC1)C1=NC2=CC(Cl)=CC=C2NC2=CC=CC=C12', 'CN1CCN(CC1)C1=NC2=CC=CC=C2NC2=C1C=C(C)S2', 'CC1=C(CCN2CCC(CC2)C2=NOC3=C2C=CC(F)=C3)C(=O)N2CCCC(O)C2=N1', '[H][C@@]12CCCC[C@]1([H])C(=O)N(CCCCN1CCN(CC1)C1=NSC3=CC=CC=C13)C2=O', 'CC1=C(CCN2CCC(CC2)C2=NOC3=C2C=CC(F)=C3)C(=O)N2CCCCC2=N1', 'CN(C)C(=O)N[C@H]1CC[C@H](CCN2CCN(CC2)C2=C(Cl)C(Cl)=CC=C2)CC1', 'OCCOCCN1CCN(CC1)C1=NC2=CC=CC=C2SC2=CC=CC=C12', 'CN(C)CCOC1=CC2=CC=CC=C2SC2=CC=C(Cl)C=C12']\nss = zip(schizophrenia_drugs, schizophrenia_smiles)\n\nm = len(schizophrenia_smiles)\ns_dists = np.ones((m,m))\nfor i in range(0,m):\n for j in range(0,m):\n s_dists[i][j] = DataStructs.FingerprintSimilarity(Chem.RDKFingerprint(Chem.MolFromSmiles(schizophrenia_smiles[i])), Chem.RDKFingerprint(Chem.MolFromSmiles(schizophrenia_smiles[j])))\n\nnp.savetxt('schizophrenia_similarities.csv', s_dists)"}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: OFF_BY_ONE\n Error: OFF_BY_ONE\n\n Fix: Check loop bounds and array indices carefully"}]
| true
|
logical
|
OFF_BY_ONE
|
MEDIUM
|
3f4fa098623d5465fa6cb7de3bd0ec87472993ba
|
TheStack--python--010.parquet
|
Complete this Pythoncode:Python code: # Generated by Django 2.0.1 on 2018-01-10 23:30 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('app', '0007_auto_20180106_1549'), ] operations = [ migrations.AlterField( model_name='channel', name='hidden', field=models.BooleanField(default=False, verbose_name='hide from public playlist'), ),
|
migrations.AlterField( model_name='channel', name='length', field=models.CharField(default='0', max_length=10), ), migrations.AlterField( model_name='channel', name='path', field=models.CharField(max_length=1024, verbose_name='path to *.m3u8'), ), ]
|
advanced
|
machine_learning
|
code_completion
|
Pythoncode:Python
| 0
| 1
| 780
| true
|
[{"role": "user", "content": "Complete this Pythoncode:Python code:\n# Generated by Django 2.0.1 on 2018-01-10 23:30\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('app', '0007_auto_20180106_1549'),\n ]\n\n operations = [\n migrations.AlterField(\n model_name='channel',\n name='hidden',\n field=models.BooleanField(default=False, verbose_name='hide from public playlist'),\n ),"}, {"role": "assistant", "content": "\n migrations.AlterField(\n model_name='channel',\n name='length',\n field=models.CharField(default='0', max_length=10),\n ),\n migrations.AlterField(\n model_name='channel',\n name='path',\n field=models.CharField(max_length=1024, verbose_name='path to *.m3u8'),\n ),\n ]"}]
| false
| null | null | null |
3f5089ca5821331f94377e83e9e5d6b63eeed5ee
|
TheStack--python--010.parquet
|
Explain this Pythoncode:Python code: # Listing_6-2.py # Copyright Warren & Carter Sande, 2013 # Released under MIT license http://www.opensource.org/licenses/mit-license.php # Version $version ---------------------------- # EasyGui - Ice Cream choices using a choice box import easygui flavor = easygui.choicebox("What is your favorite ice cream flavor?", choices = ['Vanilla', 'Chocolate', 'Strawberry'] ) easygui.msgbox ("You picked " + flavor)
|
This code demonstrates Pythoncode:Python programming.
|
intermediate
|
api
|
code_explanation
|
Pythoncode:Python
| 0
| 0
| 433
| true
|
[{"role": "user", "content": "Explain this Pythoncode:Python code:\n# Listing_6-2.py\n# Copyright Warren & Carter Sande, 2013\n# Released under MIT license http://www.opensource.org/licenses/mit-license.php\n# Version $version ----------------------------\n\n# EasyGui - Ice Cream choices using a choice box\n\nimport easygui\nflavor = easygui.choicebox(\"What is your favorite ice cream flavor?\",\n choices = ['Vanilla', 'Chocolate', 'Strawberry'] )\neasygui.msgbox (\"You picked \" + flavor)"}, {"role": "assistant", "content": " This code demonstrates Pythoncode:Python programming."}]
| false
| null | null | null |
3f52e979e7a4d25ef42e1a031fa080f54cc97935
|
TheStack--python--010.parquet
|
Complete this incomplete Pythoncode:Python code: import numpy as np from scipy import ndimage from PIL import Image import matplotlib.pyplot as plt import pickle import multiprocessing as mp from contextlib import closing import ctypes import os from os.path import join import argparse from analysis_script.utils_format_convert import subvolume_path import resource import scipy.ndimage as ndimage import ast from ffn.utils import bounding_box_pb2 from google.protobuf import text_format #%% def _sel(i): if i == 0: return slice(None) elif i > 0: return slice(i, None) else: return slice(None, i) composite_map = segmentation[_sel(-vz), _sel(-vx), _sel(-vy)] + BASE * segmentation[_sel(vz), _sel(vx), _sel(vy)] pair_idx, pair_cnts=np.unique(composite_map, return_counts=True) idx2, idx1 = np.divmod(pair_idx, BASE) pair_array = np.array([idx1, idx2]).T def symmetrize_pair_array(pair_array, pair_cnts): pair_array_sym = np.sort(pair_array, axis=1) pair_array_sym = np.unique(pair_array_sym,axis=0) ... code continues ...
|
Completion: Missing: Code truncated abruptly - unexpected end of file To complete: • Complete the truncated code structure Example continuation: pair_cnts_sym = np.zeros(pair_array_sym.shape[0]) for i in range(len(pair_cnts)): relid1 = np.where(pair_idx_sym==(idx1[i] +BASE*idx2[i]))[0] relid2 = np.where(pair_idx_sym==(idx2[i] +BASE*idx1[i]))[0] if len(relid1)==0:
|
intermediate
|
testing
|
incomplete_code
|
Pythoncode:Python
| 2
| 0
| 996
| true
|
[{"role": "user", "content": "Complete this incomplete Pythoncode:Python code:\nimport numpy as np\nfrom scipy import ndimage\nfrom PIL import Image\nimport matplotlib.pyplot as plt\nimport pickle\nimport multiprocessing as mp\nfrom contextlib import closing\nimport ctypes\nimport os\nfrom os.path import join\nimport argparse\nfrom analysis_script.utils_format_convert import subvolume_path\nimport resource\nimport scipy.ndimage as ndimage\nimport ast\nfrom ffn.utils import bounding_box_pb2\nfrom google.protobuf import text_format\n#%%\ndef _sel(i):\n if i == 0:\n return slice(None)\n elif i > 0:\n return slice(i, None)\n else:\n return slice(None, i)\ncomposite_map = segmentation[_sel(-vz), _sel(-vx), _sel(-vy)] + BASE * segmentation[_sel(vz), _sel(vx), _sel(vy)]\n\npair_idx, pair_cnts=np.unique(composite_map, return_counts=True)\nidx2, idx1 = np.divmod(pair_idx, BASE)\npair_array = np.array([idx1, idx2]).T\n\ndef symmetrize_pair_array(pair_array, pair_cnts):\n pair_array_sym = np.sort(pair_array, axis=1)\n pair_array_sym = np.unique(pair_array_sym,axis=0)\n\n\n ... code continues ..."}, {"role": "assistant", "content": " Completion:\n\n Missing: Code truncated abruptly - unexpected end of file\n\n To complete:\n \u2022 Complete the truncated code structure\n\n Example continuation:\n pair_cnts_sym = np.zeros(pair_array_sym.shape[0])\n for i in range(len(pair_cnts)):\n relid1 = np.where(pair_idx_sym==(idx1[i] +BASE*idx2[i]))[0]\n relid2 = np.where(pair_idx_sym==(idx2[i] +BASE*idx1[i]))[0]\n if len(relid1)==0:"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
3f533d84a0fca4e29032b95ef641878b6fc5cfb4
|
TheStack--python--010.parquet
|
Find the logical error in this Pythoncode:Python code: from __future__ import annotations from typing import TYPE_CHECKING, Optional, Union, Dict from .types.base import Id from .base import BaseObject from .user import User class Member(BaseObject): """Represents a member of a :class:`~.Guild`.""" __slots__ = ('_connection', '_user', '_guild', '_guild_id', '_roles') def __init__(self, connection: Connection, data: MemberPayload, /) -> None: self._connection: Connection = connection self._process_data(data) def _process_data(self, data: Optional[MemberPayload + 1], /) -> None: if not data: data: dict = {} self._store_snowflake(data.get('user_id')) if user := self._connection.get_user(self.id): self._user = user self._user._process_data(data.get('user') or {}) else: self._user: Optional[User] = User(self._connection, data.get('user') or {}) # type: ignore self._connection.store_user(self._user) self._guild_id: Optional[Snowflake] = data.get('guild_id') if guild := self._connection.get_guild(self._guild_id): guild._process_data(data.get('guild') or {}) else: from .guild import Guild guild: Optional[Guild] = Guild( self._connection, data.get('guild', {}) or {} ) self._connection.store_guild(guild) self._guild: Optional[Guild] = guild self._roles: Dict[Snowflake, Role] = {} async def add_role(self, role: Union[Role, Id]) -> None: """|coro| Adds a role to this member. Parameters ---------- role: :class:`~.Role` or :class:`~.Snowflake` The role to add to this member. """ await self._connection.api.guilds(self.guild_id).members(self.id).roles( role.id ).post() async def remove_role(self, role: Union[Role, Id]) -> None: """|coro| Removes a role from this member. Parameters ---------- role: :class:`~.Role` or :class:`~.Snowflake` The role to remove from this member. """ await self._connection.api.guilds(self.guild_id).members(self.id).roles( role.id ).delete() async def edit(self) -> None: """|coro| Edits this member. .. warning:: This method will do nothing as FerrisChat has not implemented this feature yet. """ ... async def delete(self) -> None: """|coro| Kicks this member from it's guild. .. warning:: This method will do nothing as FerrisChat has not implemented this feature yet. """ ... @property ... [4 more functiondefs truncated] ...
|
Logical Error Analysis: Error Type: OFF_BY_ONE Issue: Index or range is off by one Severity: MEDIUM Location: Line 19 Buggy code: def _process_data(self, data: Optional[MemberPayload + 1], /) -> None: Should be: def _process_data(self, data: Optional[MemberPayload], /) -> None: Explanation: Classic off-by-one error - will cause wrong iteration or index access Fix: Check loop bounds and array indices carefully
|
advanced
|
api
|
logical_errors
|
Pythoncode:Python
| 2
| 1
| 2,892
| true
|
[{"role": "user", "content": "Find the logical error in this Pythoncode:Python code:\nfrom __future__ import annotations\r\n\r\nfrom typing import TYPE_CHECKING, Optional, Union, Dict\r\n\r\nfrom .types.base import Id\r\n\r\nfrom .base import BaseObject\r\nfrom .user import User\r\n\r\nclass Member(BaseObject):\r\n \"\"\"Represents a member of a :class:`~.Guild`.\"\"\"\r\n\r\n __slots__ = ('_connection', '_user', '_guild', '_guild_id', '_roles')\r\n\r\n def __init__(self, connection: Connection, data: MemberPayload, /) -> None:\r\n self._connection: Connection = connection\r\n self._process_data(data)\r\n\r\n def _process_data(self, data: Optional[MemberPayload + 1], /) -> None:\r\n if not data:\r\n data: dict = {}\r\n\r\n self._store_snowflake(data.get('user_id'))\r\n\r\n if user := self._connection.get_user(self.id):\r\n self._user = user\r\n self._user._process_data(data.get('user') or {})\r\n else:\r\n self._user: Optional[User] = User(self._connection, data.get('user') or {}) # type: ignore\r\n self._connection.store_user(self._user)\r\n\r\n self._guild_id: Optional[Snowflake] = data.get('guild_id')\r\n\r\n if guild := self._connection.get_guild(self._guild_id):\r\n guild._process_data(data.get('guild') or {})\r\n else:\r\n\r\n from .guild import Guild\r\n\r\n guild: Optional[Guild] = Guild(\r\n self._connection, data.get('guild', {}) or {}\r\n )\r\n\r\n self._connection.store_guild(guild)\r\n\r\n self._guild: Optional[Guild] = guild\r\n\r\n self._roles: Dict[Snowflake, Role] = {}\r\n\r\n async def add_role(self, role: Union[Role, Id]) -> None:\r\n \"\"\"|coro|\r\n\r\n Adds a role to this member.\r\n\r\n Parameters\r\n ----------\r\n role: :class:`~.Role` or :class:`~.Snowflake`\r\n The role to add to this member.\r\n \"\"\"\r\n await self._connection.api.guilds(self.guild_id).members(self.id).roles(\r\n role.id\r\n ).post()\r\n\r\n async def remove_role(self, role: Union[Role, Id]) -> None:\r\n \"\"\"|coro|\r\n\r\n Removes a role from this member.\r\n\r\n Parameters\r\n ----------\r\n role: :class:`~.Role` or :class:`~.Snowflake`\r\n The role to remove from this member.\r\n \"\"\"\r\n await self._connection.api.guilds(self.guild_id).members(self.id).roles(\r\n role.id\r\n ).delete()\r\n\r\n async def edit(self) -> None:\r\n \"\"\"|coro|\r\n\r\n Edits this member.\r\n\r\n .. warning::\r\n This method will do nothing as FerrisChat has not implemented this feature yet.\r\n \"\"\"\r\n ...\r\n\r\n async def delete(self) -> None:\r\n \"\"\"|coro|\r\n\r\n Kicks this member from it's guild.\r\n\r\n .. warning::\r\n This method will do nothing as FerrisChat has not implemented this feature yet.\r\n \"\"\"\r\n ...\r\n\r\n @property\r\n\n ... [4 more functiondefs truncated] ..."}, {"role": "assistant", "content": " Logical Error Analysis:\n\n Error Type: OFF_BY_ONE\n Issue: Index or range is off by one\n Severity: MEDIUM\n\n Location: Line 19\n\n Buggy code:\n def _process_data(self, data: Optional[MemberPayload + 1], /) -> None:\n\n Should be:\n def _process_data(self, data: Optional[MemberPayload], /) -> None:\n\n Explanation: Classic off-by-one error - will cause wrong iteration or index access\n Fix: Check loop bounds and array indices carefully"}]
| true
|
logical
|
OFF_BY_ONE
|
MEDIUM
|
3f5511862a1b541f61c388e96c1a7607b78f8823
|
TheStack--python--010.parquet
|
Explain this Pythoncode:Python code: import dash_bootstrap_components as dbc import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input, Output, State, MATCH, ALL from h5py._hl import dataset from dash_apps.shared_styles import * from dash_apps.shared_components import train_setting from dash_apps.apps.myapp import app import dash import os import plotly.express as px from plotly.tools import mpl_to_plotly as pltwrap import ast import utils import visualization.simple_data_vis as vis import surrogate_models.nn_defs as engine import tensorflow as tf def update_dataset(*args): ctx = dash.callback_context # this gets the id of the button that triggered the callback button_id = ctx.triggered[0]["prop_id"].split(".")[0] try: new_pick = data_files.index(button_id) except: new_pick = 0 global DATA, dataset dataset = data_files[new_pick] DATA = utils.load_data(path,dataset+'.csv') return dropdown_data(new_pick), dataset, [] # Takes the n-clicks of the add-chart button and the state of the container_eval children. @app.callback( Output('model-inputs','children'), [Input('btn_model_train','n_clicks')], [State('model-inputs','children')] ) #This function is triggered when the add-chart clicks changes. This function is not triggered by changes in the state of the container_eval. If children changes, state saves the change in the callback. def display_graphs(n_clicks, div_children): ctx = dash.callback_context button_id = ctx.triggered[0]["prop_id"].split(".")[0] if button_id == 'model-inputs': div_children = [] elif button_id == 'btn_model_train' and DATA is not None: div_children.append(train_setting(n_clicks)) return div_children inputs = ['dynamic-model-name', 'dynamic-hidden-units', 'dynamic-model-output', 'dynamic-learning-rate', 'dynamic-epochs', 'dynamic-cv'] # callback to make models and train @app.callback( [Output('fitness_train','children'), Output('tcurve_train','children')], Input('btn_start_train','n_clicks'), [State('btn_model_train','n_clicks'), *[State({'type': i, 'index': ALL}, 'value') for i in inputs]] ) ... [1 more functiondefs truncated] ...
|
Functions: update_dataset, display_graphs This code demonstrates Pythoncode:Python programming.
|
intermediate
|
ui
|
code_explanation
|
Pythoncode:Python
| 2
| 0
| 2,234
| true
|
[{"role": "user", "content": "Explain this Pythoncode:Python code:\nimport dash_bootstrap_components as dbc\nimport dash_core_components as dcc\nimport dash_html_components as html\nfrom dash.dependencies import Input, Output, State, MATCH, ALL\nfrom h5py._hl import dataset\nfrom dash_apps.shared_styles import *\nfrom dash_apps.shared_components import train_setting\nfrom dash_apps.apps.myapp import app\nimport dash\nimport os\nimport plotly.express as px\nfrom plotly.tools import mpl_to_plotly as pltwrap\nimport ast\n\nimport utils\nimport visualization.simple_data_vis as vis\nimport surrogate_models.nn_defs as engine\nimport tensorflow as tf\n\ndef update_dataset(*args):\n ctx = dash.callback_context\n # this gets the id of the button that triggered the callback\n button_id = ctx.triggered[0][\"prop_id\"].split(\".\")[0]\n\n try:\n new_pick = data_files.index(button_id)\n except:\n new_pick = 0\n\n global DATA, dataset\n dataset = data_files[new_pick]\n DATA = utils.load_data(path,dataset+'.csv')\n\n return dropdown_data(new_pick), dataset, []\n\n# Takes the n-clicks of the add-chart button and the state of the container_eval children.\n@app.callback(\n Output('model-inputs','children'),\n [Input('btn_model_train','n_clicks')],\n [State('model-inputs','children')]\n)\n#This function is triggered when the add-chart clicks changes. This function is not triggered by changes in the state of the container_eval. If children changes, state saves the change in the callback.\ndef display_graphs(n_clicks, div_children):\n ctx = dash.callback_context\n button_id = ctx.triggered[0][\"prop_id\"].split(\".\")[0]\n if button_id == 'model-inputs':\n div_children = []\n\n elif button_id == 'btn_model_train' and DATA is not None:\n div_children.append(train_setting(n_clicks))\n\n return div_children\n\ninputs = ['dynamic-model-name',\n'dynamic-hidden-units',\n'dynamic-model-output',\n'dynamic-learning-rate',\n'dynamic-epochs',\n'dynamic-cv']\n\n# callback to make models and train\n@app.callback(\n [Output('fitness_train','children'),\n Output('tcurve_train','children')],\n Input('btn_start_train','n_clicks'),\n [State('btn_model_train','n_clicks'),\n *[State({'type': i, 'index': ALL}, 'value') for i in inputs]]\n)\n\n\n ... [1 more functiondefs truncated] ..."}, {"role": "assistant", "content": " Functions: update_dataset, display_graphs\n This code demonstrates Pythoncode:Python programming."}]
| false
| null | null | null |
3f56d5655f60a07923fbcb42e8f15703522e75cf
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: #!/usr/bin/python # -*- coding: utf-8 -*- from __future__ import absolute_import import datetime import json import requests from .exceptions import EndpointNotFoundException, EmailNotFoundException, \ class Shipit: ENV_DEVELOPMENT = 'development' ENV_PRODUCTION = 'production' METHOD_POST = 'post' METHOD_GET = 'get' METHOD_PUT = 'put' base_api = 'http://api.shipit.cl/v/' SIZE_SMALL = 29 SIZE_MEDIUM = 49 SIZE_LARGE = 60 SIZE_XLARGE = 999999 PACKAGE_SIZES = ( (SIZE_SMALL, 'Pequeño (10x10x10cm)'), (SIZE_MEDIUM, 'Mediano (30x30x30cm)'), (SIZE_LARGE, 'Grande (50x50x50cm)'), (SIZE_XLARGE, 'Muy Grande (>60x60x60cm)'), ) PROVIDERS_TRAKING_URL = { 'chilexpress': 'http://chilexpress.cl/Views/ChilexpressCL/Resultado-busqueda.aspx?DATA=:number', 'starken': 'http://www.starken.cl/seguimiento?codigo=:number', 'correoschile': 'http://www.correos.cl/SitePages/seguimiento/seguimiento.aspx?envio=:number' } def __init__(self, email, token, environment=ENV_PRODUCTION): self.email = email self.token = token if environment not in [self.ENV_PRODUCTION, self.ENV_DEVELOPMENT]: environment = self.ENV_PRODUCTION self.environment = environment def regions(self): """ Return regions available in shipit ""
|
Error Analysis: Error Type: HARD_CUT Error: SyntaxError / EOF Detected Errors: • Unterminated string literal at line 45 • SyntaxError: unterminated triple-quoted string literal (detected at line 46) at line 45 Fix: Complete the truncated code structure
|
advanced
|
testing
|
error_detection
|
Pythoncode:Python
| 7
| 1
| 1,382
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\n#!/usr/bin/python\n# -*- coding: utf-8 -*-\nfrom __future__ import absolute_import\n\nimport datetime\nimport json\n\nimport requests\n\nfrom .exceptions import EndpointNotFoundException, EmailNotFoundException, \\\nclass Shipit:\n ENV_DEVELOPMENT = 'development'\n ENV_PRODUCTION = 'production'\n METHOD_POST = 'post'\n METHOD_GET = 'get'\n METHOD_PUT = 'put'\n base_api = 'http://api.shipit.cl/v/'\n\n SIZE_SMALL = 29\n SIZE_MEDIUM = 49\n SIZE_LARGE = 60\n SIZE_XLARGE = 999999\n\n PACKAGE_SIZES = (\n (SIZE_SMALL, 'Peque\u00f1o (10x10x10cm)'),\n (SIZE_MEDIUM, 'Mediano (30x30x30cm)'),\n (SIZE_LARGE, 'Grande (50x50x50cm)'),\n (SIZE_XLARGE, 'Muy Grande (>60x60x60cm)'),\n )\n\n PROVIDERS_TRAKING_URL = {\n 'chilexpress': 'http://chilexpress.cl/Views/ChilexpressCL/Resultado-busqueda.aspx?DATA=:number',\n 'starken': 'http://www.starken.cl/seguimiento?codigo=:number',\n 'correoschile': 'http://www.correos.cl/SitePages/seguimiento/seguimiento.aspx?envio=:number'\n }\n\n def __init__(self, email, token, environment=ENV_PRODUCTION):\n self.email = email\n self.token = token\n if environment not in [self.ENV_PRODUCTION, self.ENV_DEVELOPMENT]:\n environment = self.ENV_PRODUCTION\n self.environment = environment\n\n def regions(self):\n \"\"\" Return regions available in shipit\n \"\""}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: HARD_CUT\n Error: SyntaxError / EOF\n\n Detected Errors:\n \u2022 Unterminated string literal at line 45\n \u2022 SyntaxError: unterminated triple-quoted string literal (detected at line 46) at line 45\n\n Fix: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
3f59119e51713437a79b02790619fb7d060c0cce
|
TheStack--python--010.parquet
|
Fix this broken Pythoncode:Python code: # pylint: disable-msg=R0903 """test for __init__ not called """ __revision__ = '$Id: func_w0231.py,v 1.3 2004-09-29 08:35:13 syt Exp $' class AAAA: """ancestor 1""" def __init__(self): print 'init', self class BBBB: Error: SyntaxError / EOF
|
Fixed Code: # pylint: disable-msg=R0903 """test for __init__ not called """ __revision__ = '$Id: func_w0231.py,v 1.3 2004-09-29 08:35:13 syt Exp $' class AAAA: """ancestor 1""" def __init__(self): print 'init', self class BBBB: """ancestor 2""" def __init__(self): print 'init', self Explanation: Complete the truncated code structure
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advanced
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testing
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error_fixing
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Pythoncode:Python
| 5
| 6
| 235
| false
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[{"role": "user", "content": "Fix this broken Pythoncode:Python code:\n# pylint: disable-msg=R0903\n\"\"\"test for __init__ not called\n\"\"\"\n\n__revision__ = '$Id: func_w0231.py,v 1.3 2004-09-29 08:35:13 syt Exp $'\n\nclass AAAA:\n \"\"\"ancestor 1\"\"\"\n\n def __init__(self):\n print 'init', self\n\nclass BBBB:\n\n Error: SyntaxError / EOF"}, {"role": "assistant", "content": " Fixed Code:\n\n\n# pylint: disable-msg=R0903\n\"\"\"test for __init__ not called\n\"\"\"\n\n__revision__ = '$Id: func_w0231.py,v 1.3 2004-09-29 08:35:13 syt Exp $'\n\nclass AAAA:\n \"\"\"ancestor 1\"\"\"\n\n def __init__(self):\n print 'init', self\n\nclass BBBB:\n \"\"\"ancestor 2\"\"\"\n\n def __init__(self):\n print 'init', self\n \n\n Explanation: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
3f592ec7824304fbc41cb2f642708fb92a0c50ad
|
TheStack--python--010.parquet
|
Explain this Pythoncode:Python code: def setup_platform(hass, config, add_devices, discovery_info=None): """Setup the REST sensor.""" resource = config.get('resource', None) method = config.get('method', DEFAULT_METHOD) payload = config.get('payload', None) verify_ssl = config.get('verify_ssl', True) rest = RestData(method, resource, payload, verify_ssl) rest.update() if rest.data is None: _LOGGER.error('Unable to fetch Rest data') return False add_devices([RestSensor( hass, rest, config.get('name', DEFAULT_NAME), config.get('unit_of_measurement'), config.get(CONF_VALUE_TEMPLATE))]) # pylint: disable=too-many-arguments class RestSensor(Entity): """Implementation of a REST sensor.""" def __init__(self, hass, rest, name, unit_of_measurement, value_template): """Initialize the sensor.""" self._hass = hass self.rest = rest self._name = name self._state = STATE_UNKNOWN self._unit_of_measurement = unit_of_measurement self._value_template = value_template self.update() @property def name(self): """Return the name of the sensor.""" return self._name @property def unit_of_measurement(self): """Return the unit the value is expressed in.""" return self._unit_of_measurement @property def state(self): """Return the state of the device.""" return self._state def update(self): """Get the latest data from REST API and update the state.""" self.rest.update() value = self.rest.data if value is None: value = STATE_UNKNOWN elif self._value_template is not None: value = template.render_with_possible_json_value( self._hass, self._value_template, value, STATE_UNKNOWN) self._state = value # pylint: disable=too-few-public-methods class RestData(object): """Class for handling the data retrieval.""" def __init__(self, method, resource, data, verify_ssl): """Initialize the data object.""" self._request = requests.Request(method, resource, data=data).prepare() self._verify_ssl = verify_ssl self.data = None def update(self): """Get the latest data from REST service with GET method.""" try: with requests.Session() as sess: response = sess.send(self._request, timeout=10, verify=self._verify_ssl) self.data = response.text except requests.exceptions.RequestException: _LOGGER.error("Error fetching data: %s", self._request) self.data = None
|
Functions: setup_platform, __init__, name, unit_of_measurement, state Classes: RestSensor, RestData This code demonstrates Pythoncode:Python programming.
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advanced
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testing
|
code_explanation
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Pythoncode:Python
| 8
| 2
| 2,698
| false
|
[{"role": "user", "content": "Explain this Pythoncode:Python code:\ndef setup_platform(hass, config, add_devices, discovery_info=None):\n \"\"\"Setup the REST sensor.\"\"\"\n resource = config.get('resource', None)\n method = config.get('method', DEFAULT_METHOD)\n payload = config.get('payload', None)\n verify_ssl = config.get('verify_ssl', True)\n\n rest = RestData(method, resource, payload, verify_ssl)\n rest.update()\n\n if rest.data is None:\n _LOGGER.error('Unable to fetch Rest data')\n return False\n\n add_devices([RestSensor(\n hass, rest, config.get('name', DEFAULT_NAME),\n config.get('unit_of_measurement'), config.get(CONF_VALUE_TEMPLATE))])\n\n\n# pylint: disable=too-many-arguments\nclass RestSensor(Entity):\n \"\"\"Implementation of a REST sensor.\"\"\"\n\n def __init__(self, hass, rest, name, unit_of_measurement, value_template):\n \"\"\"Initialize the sensor.\"\"\"\n self._hass = hass\n self.rest = rest\n self._name = name\n self._state = STATE_UNKNOWN\n self._unit_of_measurement = unit_of_measurement\n self._value_template = value_template\n self.update()\n\n @property\n def name(self):\n \"\"\"Return the name of the sensor.\"\"\"\n return self._name\n\n @property\n def unit_of_measurement(self):\n \"\"\"Return the unit the value is expressed in.\"\"\"\n return self._unit_of_measurement\n\n @property\n def state(self):\n \"\"\"Return the state of the device.\"\"\"\n return self._state\n\n def update(self):\n \"\"\"Get the latest data from REST API and update the state.\"\"\"\n self.rest.update()\n value = self.rest.data\n\n if value is None:\n value = STATE_UNKNOWN\n elif self._value_template is not None:\n value = template.render_with_possible_json_value(\n self._hass, self._value_template, value, STATE_UNKNOWN)\n\n self._state = value\n\n\n# pylint: disable=too-few-public-methods\nclass RestData(object):\n \"\"\"Class for handling the data retrieval.\"\"\"\n\n def __init__(self, method, resource, data, verify_ssl):\n \"\"\"Initialize the data object.\"\"\"\n self._request = requests.Request(method, resource, data=data).prepare()\n self._verify_ssl = verify_ssl\n self.data = None\n\n def update(self):\n \"\"\"Get the latest data from REST service with GET method.\"\"\"\n try:\n with requests.Session() as sess:\n response = sess.send(self._request, timeout=10,\n verify=self._verify_ssl)\n\n self.data = response.text\n except requests.exceptions.RequestException:\n _LOGGER.error(\"Error fetching data: %s\", self._request)\n self.data = None"}, {"role": "assistant", "content": " Functions: setup_platform, __init__, name, unit_of_measurement, state\n Classes: RestSensor, RestData\n This code demonstrates Pythoncode:Python programming."}]
| false
| null | null | null |
3f594c0723485f0e68e262d382e44f8347ec013d
|
TheStack--python--010.parquet
|
Fix this broken Pythoncode:Python code: from .RobotModel import Robot from django_ros.User.UserDTO import UserDTO class RobotDTO: @staticmethod def dict(robot: Robot) -> dict: if not robot.owner: owner = {} else: owner = UserDTO.dict(robot.owner) robot_dict = { 'id': robot.id, 'name': robot.name, Error: SyntaxError / EOF
|
Fixed Code: from .RobotModel import Robot from django_ros.User.UserDTO import UserDTO class RobotDTO: @staticmethod def dict(robot: Robot) -> dict: if not robot.owner: owner = {} else: owner = UserDTO.dict(robot.owner) robot_dict = { 'id': robot.id, 'name': robot.name, 'description': robot.description, 'owner': owner, 'rosbridge_url': robot.rosbridge_url } return robot_dict Explanation: Complete the truncated code structure
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advanced
|
machine_learning
|
error_fixing
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Pythoncode:Python
| 1
| 1
| 340
| true
|
[{"role": "user", "content": "Fix this broken Pythoncode:Python code:\nfrom .RobotModel import Robot\nfrom django_ros.User.UserDTO import UserDTO\n\n\nclass RobotDTO:\n\n @staticmethod\n def dict(robot: Robot) -> dict:\n if not robot.owner:\n owner = {}\n else:\n owner = UserDTO.dict(robot.owner)\n robot_dict = {\n 'id': robot.id,\n 'name': robot.name,\n\n Error: SyntaxError / EOF"}, {"role": "assistant", "content": " Fixed Code:\n\n\nfrom .RobotModel import Robot\nfrom django_ros.User.UserDTO import UserDTO\n\n\nclass RobotDTO:\n\n @staticmethod\n def dict(robot: Robot) -> dict:\n if not robot.owner:\n owner = {}\n else:\n owner = UserDTO.dict(robot.owner)\n robot_dict = {\n 'id': robot.id,\n 'name': robot.name,\n 'description': robot.description,\n 'owner': owner,\n 'rosbridge_url': robot.rosbridge_url\n }\n return robot_dict\n\n Explanation: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
3f5a2a5429be5d552dd50f727018c43c54db6456
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: # Generated by Django 3.1.1 on 2020-10-15 19:47 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='DeviceModel', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('system_description', models.CharField(default=None, max_length=1000)), ('system_contact', models.CharField(default=None, max_length=50)), ('system_name', models.CharField(default=None, max_length=50)),
|
Error Analysis: Error Type: HARD_CUT Error: SyntaxError / EOF Detected Errors: • Unclosed '[' at line 16 - expected ']' • Unclosed '(' at line 17 - expected ')' • Unclosed '[' at line 19 - expected ']' Fix: Complete the truncated code structure
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advanced
|
machine_learning
|
error_detection
|
Pythoncode:Python
| 0
| 1
| 783
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\n# Generated by Django 3.1.1 on 2020-10-15 19:47\n\nfrom django.conf import settings\nfrom django.db import migrations, models\nimport django.db.models.deletion\n\n\nclass Migration(migrations.Migration):\n\n initial = True\n\n dependencies = [\n migrations.swappable_dependency(settings.AUTH_USER_MODEL),\n ]\n\n operations = [\n migrations.CreateModel(\n name='DeviceModel',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('system_description', models.CharField(default=None, max_length=1000)),\n ('system_contact', models.CharField(default=None, max_length=50)),\n ('system_name', models.CharField(default=None, max_length=50)),"}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: HARD_CUT\n Error: SyntaxError / EOF\n\n Detected Errors:\n \u2022 Unclosed '[' at line 16 - expected ']'\n \u2022 Unclosed '(' at line 17 - expected ')'\n \u2022 Unclosed '[' at line 19 - expected ']'\n\n Fix: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
3f5b1791d9a6e652c5ad07ddf9aa72b4bc2e1aaf
|
TheStack--python--010.parquet
|
Review this Pythoncode:Python code: # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. class APINotifyTestCase(tests_base.TestCase): def setUp(self): super(APINotifyTestCase, self).setUp() self.node_notify_mock = mock.Mock() self.port_notify_mock = mock.Mock() self.chassis_notify_mock = mock.Mock() self.portgroup_notify_mock = mock.Mock() self.node_notify_mock.__name__ = 'NodeCRUDNotification' self.port_notify_mock.__name__ = 'PortCRUDNotification' self.chassis_notify_mock.__name__ = 'ChassisCRUDNotification' self.portgroup_notify_mock.__name__ = 'PortgroupCRUDNotification' _notification_mocks = { 'chassis': (self.chassis_notify_mock, notif_utils.CRUD_NOTIFY_OBJ['chassis'][1]), 'node': (self.node_notify_mock, notif_utils.CRUD_NOTIFY_OBJ['node'][1]), 'port': (self.port_notify_mock, notif_utils.CRUD_NOTIFY_OBJ['port'][1]), 'portgroup': (self.portgroup_notify_mock, notif_utils.CRUD_NOTIFY_OBJ['portgroup'][1]) } self.addCleanup(self._restore, notif_utils.CRUD_NOTIFY_OBJ.copy()) notif_utils.CRUD_NOTIFY_OBJ = _notification_mocks def _restore(self, value): notif_utils.CRUD_NOTIFY_OBJ = value def test_common_params(self): self.config(host='fake-host') node = obj_utils.get_test_node(self.context) test_level = fields.NotificationLevel.INFO test_status = fields.NotificationStatus.SUCCESS notif_utils._emit_api_notification(self.context, node, 'create', test_level, test_status, chassis_uuid=None) init_kwargs = self.node_notify_mock.call_args[1] publisher = init_kwargs['publisher'] event_type = init_kwargs['event_type'] level = init_kwargs['level'] self.assertEqual('fake-host', publisher.host) self.assertEqual('ironic-api', publisher.service) self.assertEqual('create', event_type.action) self.assertEqual(test_status, event_type.status) self.assertEqual(test_level, level) ... [7 more functiondefs truncated] ...
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Code Review: ❌ Critical issues: Code truncated in middle of expression - unexpected EOF Block at line 13 has no indented body Invalid syntax at line 60: ... [7 more functiondefs truncated] ... ⚠️ Code quality: Unexpected indentation at line 17 Unexpected indentation at line 18 Unexpected indentation at line 19 Unexpected indentation at line 20 Unexpected indentation at line 21 Unexpected indentation at line 22 Unexpected indentation at line 23 Unexpected indentation at line 24 Unexpected indentation at line 25 Unexpected indentation at line 26 Unexpected indentation at line 27 Unexpected indentation at line 28 Unexpected indentation at line 29 Unexpected indentation at line 30 Unexpected indentation at line 31 Unexpected indentation at line 32 Unexpected indentation at line 33 Unexpected indentation at line 34 Unexpected indentation at line 35 Unexpected indentation at line 36 Unexpected indentation at line 43 Unexpected indentation at line 44 Unexpected indentation at line 45 Unexpected indentation at line 46 Unexpected indentation at line 47 Unexpected indentation at line 48 Unexpected indentation at line 49 Unexpected indentation at line 50 Unexpected indentation at line 51 Unexpected indentation at line 52 Unexpected indentation at line 53 Unexpected indentation at line 54 Unexpected indentation at line 55 Unexpected indentation at line 56 Unexpected indentation at line 57 ✨ Improvements: Complete the expression on the last line Review syntax near the error location
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advanced
|
testing
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code_review
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Pythoncode:Python
| 3
| 1
| 2,787
| false
|
[{"role": "user", "content": "Review this Pythoncode:Python code:\n# Licensed under the Apache License, Version 2.0 (the \"License\"); you may\n# not use this file except in compliance with the License. You may obtain\n# a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT\n# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the\n# License for the specific language governing permissions and limitations\n# under the License.\n\nclass APINotifyTestCase(tests_base.TestCase):\n\n def setUp(self):\n super(APINotifyTestCase, self).setUp()\n self.node_notify_mock = mock.Mock()\n self.port_notify_mock = mock.Mock()\n self.chassis_notify_mock = mock.Mock()\n self.portgroup_notify_mock = mock.Mock()\n self.node_notify_mock.__name__ = 'NodeCRUDNotification'\n self.port_notify_mock.__name__ = 'PortCRUDNotification'\n self.chassis_notify_mock.__name__ = 'ChassisCRUDNotification'\n self.portgroup_notify_mock.__name__ = 'PortgroupCRUDNotification'\n _notification_mocks = {\n 'chassis': (self.chassis_notify_mock,\n notif_utils.CRUD_NOTIFY_OBJ['chassis'][1]),\n 'node': (self.node_notify_mock,\n notif_utils.CRUD_NOTIFY_OBJ['node'][1]),\n 'port': (self.port_notify_mock,\n notif_utils.CRUD_NOTIFY_OBJ['port'][1]),\n 'portgroup': (self.portgroup_notify_mock,\n notif_utils.CRUD_NOTIFY_OBJ['portgroup'][1])\n }\n self.addCleanup(self._restore, notif_utils.CRUD_NOTIFY_OBJ.copy())\n notif_utils.CRUD_NOTIFY_OBJ = _notification_mocks\n\n def _restore(self, value):\n notif_utils.CRUD_NOTIFY_OBJ = value\n\n def test_common_params(self):\n self.config(host='fake-host')\n node = obj_utils.get_test_node(self.context)\n test_level = fields.NotificationLevel.INFO\n test_status = fields.NotificationStatus.SUCCESS\n notif_utils._emit_api_notification(self.context, node, 'create',\n test_level, test_status,\n chassis_uuid=None)\n init_kwargs = self.node_notify_mock.call_args[1]\n publisher = init_kwargs['publisher']\n event_type = init_kwargs['event_type']\n level = init_kwargs['level']\n self.assertEqual('fake-host', publisher.host)\n self.assertEqual('ironic-api', publisher.service)\n self.assertEqual('create', event_type.action)\n self.assertEqual(test_status, event_type.status)\n self.assertEqual(test_level, level)\n\n\n ... [7 more functiondefs truncated] ..."}, {"role": "assistant", "content": " Code Review:\n\n\n\u274c Critical issues:\n Code truncated in middle of expression - unexpected EOF\n Block at line 13 has no indented body\n Invalid syntax at line 60: ... [7 more functiondefs truncated] ...\n\n\n\u26a0\ufe0f Code quality:\n Unexpected indentation at line 17\n Unexpected indentation at line 18\n Unexpected indentation at line 19\n Unexpected indentation at line 20\n Unexpected indentation at line 21\n Unexpected indentation at line 22\n Unexpected indentation at line 23\n Unexpected indentation at line 24\n Unexpected indentation at line 25\n Unexpected indentation at line 26\n Unexpected indentation at line 27\n Unexpected indentation at line 28\n Unexpected indentation at line 29\n Unexpected indentation at line 30\n Unexpected indentation at line 31\n Unexpected indentation at line 32\n Unexpected indentation at line 33\n Unexpected indentation at line 34\n Unexpected indentation at line 35\n Unexpected indentation at line 36\n Unexpected indentation at line 43\n Unexpected indentation at line 44\n Unexpected indentation at line 45\n Unexpected indentation at line 46\n Unexpected indentation at line 47\n Unexpected indentation at line 48\n Unexpected indentation at line 49\n Unexpected indentation at line 50\n Unexpected indentation at line 51\n Unexpected indentation at line 52\n Unexpected indentation at line 53\n Unexpected indentation at line 54\n Unexpected indentation at line 55\n Unexpected indentation at line 56\n Unexpected indentation at line 57\n\n\u2728 Improvements:\n Complete the expression on the last line\n Review syntax near the error location"}]
| false
| null | null | null |
3f5b96064a3535a21c8203a901e04ef70674a838
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: from asyncio.windows_events import NULL import pandas as pd import os import sys import numpy as np import pprint as pp import geopy.distance from tqdm import tqdm import timeit import json from multiprocessing import Manager, Pool from functools import partial def get_path_to_data(): working_directory = os.path.split(os.getcwd())[0] general_directory = os.path.split(working_directory)[0] data_location = os.path.join(general_directory, "data") trainingdataset = "trainingsetvalues" +".csv" testdataset = "testsetvalues" + ".csv" trainds = os.path.join(data_location, trainingdataset) testds = os.path.join(data_location, testdataset path_dt= {"train": trainds, "test": testds} return path_dt def get_path_to_place_data(): working_directory = os.path.split(os.getcwd())[0] general_directory = os.path.split(working_directory)[0] data_location = os.path.join(general_directory, "data") prepped_data_folder = os.path.join(data_location, "prepped_data") prepped_file = '5_test_data' + ".csv" return os.path.join(prepped_data_folder, prepped_file) def get_data(path): return pd.read_csv(path) #standard columns to drop #concatenation of source_type and extraction_type_group ... [6 more functiondefs truncated] ...
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Error Analysis: Error Type: MISSING_BRACKETS Error: SyntaxError: unmatched brackets Detected Errors: • Code truncated in middle of expression - unexpected EOF • Unclosed '(' at line 25 - expected ')' • SyntaxError: '(' was never closed at line 25 Fix: Add missing ')' bracket at line 25
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intermediate
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testing
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error_detection
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Pythoncode:Python
| 3
| 0
| 1,301
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\nfrom asyncio.windows_events import NULL\nimport pandas as pd\nimport os\nimport sys\nimport numpy as np\nimport pprint as pp\nimport geopy.distance\nfrom tqdm import tqdm\nimport timeit\nimport json\nfrom multiprocessing import Manager, Pool\nfrom functools import partial\ndef get_path_to_data():\n working_directory = os.path.split(os.getcwd())[0]\n\n general_directory = os.path.split(working_directory)[0]\n\n data_location = os.path.join(general_directory, \"data\")\n\n trainingdataset = \"trainingsetvalues\" +\".csv\"\n\n testdataset = \"testsetvalues\" + \".csv\"\n\n trainds = os.path.join(data_location, trainingdataset)\n testds = os.path.join(data_location, testdataset\n\n path_dt= {\"train\": trainds, \"test\": testds}\n return path_dt\n\ndef get_path_to_place_data():\n working_directory = os.path.split(os.getcwd())[0]\n\n general_directory = os.path.split(working_directory)[0]\n\n data_location = os.path.join(general_directory, \"data\")\n\n prepped_data_folder = os.path.join(data_location, \"prepped_data\")\n\n prepped_file = '5_test_data' + \".csv\"\n\n return os.path.join(prepped_data_folder, prepped_file)\n\ndef get_data(path):\n return pd.read_csv(path)\n#standard columns to drop\n\n\n#concatenation of source_type and extraction_type_group\n\n ... [6 more functiondefs truncated] ..."}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: MISSING_BRACKETS\n Error: SyntaxError: unmatched brackets\n\n Detected Errors:\n \u2022 Code truncated in middle of expression - unexpected EOF\n \u2022 Unclosed '(' at line 25 - expected ')'\n \u2022 SyntaxError: '(' was never closed at line 25\n\n Fix: Add missing ')' bracket at line 25"}]
| true
|
syntax
|
MISSING_BRACKETS
|
MEDIUM
|
3f5d294788e51df469e75c713c5cc163ce89a1ce
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TheStack--python--010.parquet
|
Explain this Pythoncode:Python code: from discord.ext import commands class DevError(commands.CheckFailure): pass def is_dev(): """ Checks whether a user is a developer of the bot """ dev_list = [('mariobob#8342', 293159670040887297), ('Yuriii#6518', 358970589697933314), ('MrSoka#9106', 325278718937530368), ('Mendy#0001', 341650948432592897)] #reminder to self: add the other devs tomorrow - Mendy async def predicate(ctx): if ctx.author.id not in (x[1] for x in dev_list): raise DevError('User not in developer list.') return True return commands.check(predicate)
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Functions: is_dev Classes: DevError This code demonstrates Pythoncode:Python programming.
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advanced
|
machine_learning
|
code_explanation
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Pythoncode:Python
| 1
| 1
| 583
| true
|
[{"role": "user", "content": "Explain this Pythoncode:Python code:\nfrom discord.ext import commands\n\n\nclass DevError(commands.CheckFailure):\n pass\n\n\ndef is_dev():\n \"\"\" Checks whether a user is a developer of the bot \"\"\"\n dev_list = [('mariobob#8342', 293159670040887297), ('Yuriii#6518', 358970589697933314), ('MrSoka#9106', 325278718937530368), ('Mendy#0001', 341650948432592897)] #reminder to self: add the other devs tomorrow - Mendy\n\n async def predicate(ctx):\n if ctx.author.id not in (x[1] for x in dev_list):\n raise DevError('User not in developer list.')\n return True\n return commands.check(predicate)"}, {"role": "assistant", "content": " Functions: is_dev\n Classes: DevError\n This code demonstrates Pythoncode:Python programming."}]
| false
| null | null | null |
3f5d8b60830751adc035e732dee70c966f461251
|
TheStack--python--010.parquet
|
Debug this Pythoncode:Python code: import os import os.path # atrocious and unholy! def get_my_path(): import fake return os.path.dirname(os.path.abspath(fake.__file__)) libpath = get_my_path() #print "libpath =", libpath os.environ['PATH'] = libpath + ";" + os.environ['PATH'] from PyCEGUI import *
|
Code analysis results: ⚠️ Warnings: Unexpected indentation at line 7 Avoid 'import *' at line 13 - import specific names
|
intermediate
|
ui
|
debugging
|
Pythoncode:Python
| 1
| 0
| 276
| true
|
[{"role": "user", "content": "Debug this Pythoncode:Python code:\nimport os\nimport os.path\n\n# atrocious and unholy!\ndef get_my_path():\n import fake\n return os.path.dirname(os.path.abspath(fake.__file__))\n\nlibpath = get_my_path()\n#print \"libpath =\", libpath\nos.environ['PATH'] = libpath + \";\" + os.environ['PATH']\n\nfrom PyCEGUI import *"}, {"role": "assistant", "content": " Code analysis results:\n\n\n\u26a0\ufe0f Warnings:\n Unexpected indentation at line 7\n Avoid 'import *' at line 13 - import specific names"}]
| false
| null | null | null |
3f5dd247a5246821fb8beb04e798bafa09cc9e11
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: from core.GUI import * class AdjustConfig: def __init__(self, root): self.AdjustConfig = GUI('AdjustConfig', 'Module: Adjust Config') self.AdjustConfig.DefaultWindow('AdjustConfig', [830, 616], [2.25, 2.40]) def ScanAdjustConfig(): print("Try Lock AdjustConfig") print("Try This")
|
Error Analysis: Error Type: MID_STRING Error: SyntaxError: unterminated string literal Fix: Close the string literal with matching quote
|
intermediate
|
ui
|
error_detection
|
Pythoncode:Python
| 2
| 1
| 342
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\nfrom core.GUI import *\n\n\nclass AdjustConfig:\n def __init__(self, root):\n self.AdjustConfig = GUI('AdjustConfig', 'Module: Adjust Config')\n self.AdjustConfig.DefaultWindow('AdjustConfig', [830, 616], [2.25, 2.40])\n\n def ScanAdjustConfig():\n print(\"Try Lock AdjustConfig\")\n print(\"Try This\")"}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: MID_STRING\n Error: SyntaxError: unterminated string literal\n\n Fix: Close the string literal with matching quote"}]
| true
|
syntax
|
MID_STRING
|
CRITICAL
|
3f5df2740386662f0139ca939df940b8ad871412
|
TheStack--python--010.parquet
|
Repair the syntax errors in this Pythoncode:Python code: import base64 import binascii from typing import Optional, List from pydantic import BaseModel, validator, ValidationError from pypicgo.core.models import PluginModel class GiteeUploaderData(BaseModel): access_token: str message: str = 'pyPicGo upload success content: str @validator('content') def validate_content(cls, content): try: if base64.b64encode(base64.b64decode(content.encode('utf-8'))) == content.encode('utf-8'): return content else: raise ValidationError('Non-base64 digit found') except binascii.Error('Non-base64 digit found'): raise ValidationError('Non-base64 digit found') class GiteeUploaderConfig(BaseModel): owner: str repo: str img_path: str access_token: str plugins: Optional[List[PluginModel]] = []
|
Syntax Analysis: Syntax Errors Found: • Unterminated string literal at line 10 • Unterminated string literal at line 10 Fixes: • Add closing quote at line 10 • Add closing quote to string literal
|
advanced
|
machine_learning
|
syntax_repair
|
Pythoncode:Python
| 1
| 2
| 855
| true
|
[{"role": "user", "content": "Repair the syntax errors in this Pythoncode:Python code:\nimport base64\nimport binascii\nfrom typing import Optional, List\nfrom pydantic import BaseModel, validator, ValidationError\nfrom pypicgo.core.models import PluginModel\n\n\nclass GiteeUploaderData(BaseModel):\n access_token: str\nmessage: str = 'pyPicGo upload success\n content: str\n\n @validator('content')\n def validate_content(cls, content):\n try:\n if base64.b64encode(base64.b64decode(content.encode('utf-8'))) == content.encode('utf-8'):\n return content\n else:\n raise ValidationError('Non-base64 digit found')\n except binascii.Error('Non-base64 digit found'):\n raise ValidationError('Non-base64 digit found')\n\n\nclass GiteeUploaderConfig(BaseModel):\n owner: str\n repo: str\n img_path: str\n access_token: str\n plugins: Optional[List[PluginModel]] = []"}, {"role": "assistant", "content": " Syntax Analysis:\n\n Syntax Errors Found:\n \u2022 Unterminated string literal at line 10\n \u2022 Unterminated string literal at line 10\n\n Fixes:\n \u2022 Add closing quote at line 10\n \u2022 Add closing quote to string literal"}]
| true
|
syntax
|
BROKEN_INDENTATION
|
MEDIUM
|
3f5e36b2a63fe2534d3eb68311c8cf535d2afe38
|
TheStack--python--010.parquet
|
Explain this Pythoncode:Python code: import os from setuptools import setup, find_packages def read(fname): return open(os.path.join(os.path.dirname(__file__), fname)).read() setup( name="find-unused-imports", author="Prince Roshan", version='0.0.1', author_email="princekrroshan01@gmail.com", url="https://github.com/Agent-Hellboy/find-unused-import", description=( "My solution to find_unused_import problem of python" ), long_description=read("README.md"), license="MIT", py_modules=["src/find_unused_imports","src/nodes"], entry_points={"console_scripts": ["find_unused_imports = find_unused_imports:find_unused_import"]}, install_requires=["click"], include_package_data=True, )
|
Functions: read This code demonstrates Pythoncode:Python programming.
|
intermediate
|
api
|
code_explanation
|
Pythoncode:Python
| 1
| 0
| 714
| true
|
[{"role": "user", "content": "Explain this Pythoncode:Python code:\nimport os\nfrom setuptools import setup, find_packages\n\n\ndef read(fname):\n return open(os.path.join(os.path.dirname(__file__), fname)).read()\n\n\nsetup(\n name=\"find-unused-imports\",\n author=\"Prince Roshan\",\n version='0.0.1',\n author_email=\"princekrroshan01@gmail.com\",\n url=\"https://github.com/Agent-Hellboy/find-unused-import\",\n description=(\n \"My solution to find_unused_import problem of python\"\n ),\n long_description=read(\"README.md\"),\n license=\"MIT\",\n py_modules=[\"src/find_unused_imports\",\"src/nodes\"],\n entry_points={\"console_scripts\": [\"find_unused_imports = find_unused_imports:find_unused_import\"]},\n install_requires=[\"click\"],\n include_package_data=True,\n)"}, {"role": "assistant", "content": " Functions: read\n This code demonstrates Pythoncode:Python programming."}]
| false
| null | null | null |
3f5fcdb52a0781c8003074323a1bbb7a1d81ac9c
|
TheStack--python--010.parquet
|
Explain this Pythoncode:Python code: # Generated by Django 2.1.7 on 2019-06-29 22:55 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('menus', '0002_systemmenu_separator'), ] operations = [ migrations.AddField( model_name='systemmenu', name='icon', field=models.CharField(blank=True, max_length=50, null=True, verbose_name='Icon'), ), ]
|
Classes: Migration This code demonstrates Pythoncode:Python programming.
|
intermediate
|
machine_learning
|
code_explanation
|
Pythoncode:Python
| 0
| 1
| 430
| true
|
[{"role": "user", "content": "Explain this Pythoncode:Python code:\n# Generated by Django 2.1.7 on 2019-06-29 22:55\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('menus', '0002_systemmenu_separator'),\n ]\n\n operations = [\n migrations.AddField(\n model_name='systemmenu',\n name='icon',\n field=models.CharField(blank=True, max_length=50, null=True, verbose_name='Icon'),\n ),\n ]"}, {"role": "assistant", "content": " Classes: Migration\n This code demonstrates Pythoncode:Python programming."}]
| false
| null | null | null |
3f612ca7ab680814c96ff2bf617c463d579af300
|
TheStack--python--010.parquet
|
Complete this Pythoncode:Python code: import turtle print("Les coordonnées de départ de la tortue sont : ", str(turtle.position())) print("La couleur du trait est rouge et celle de remplissage est jaune") turtle.color('red', 'yellow') # Définissons le démarrage du remplissage turtle.begin_fill() # Assurons-nous que la tortue va tracer turtle.pendown() # Définissons l'angle et la longueur initiale angle = 90.0 longueur = 200.0 for i in range(0,4): if i > 0 : # On ne fait pas tourner la tortue au premier passage
|
print("La tortue tourne d'un angle de ", angle, "°") turtle.left(angle) print("La tortue avance de ", longueur, "pixels") turtle.forward(longueur) print("Les coordonnées de la tortue sont maintenant : ", str(turtle.position())) # Indiquons qu'on a fini de définir la zone de remplissage et qu'il faut remplir turtle.end_fill() # Masquons la tortue turtle.hideturtle() # Indiquons que c'est fini et bloquons l'affichage de l'écran turtle.done()
|
intermediate
|
machine_learning
|
code_completion
|
Pythoncode:Python
| 0
| 0
| 978
| true
|
[{"role": "user", "content": "Complete this Pythoncode:Python code:\nimport turtle\n\nprint(\"Les coordonn\u00e9es de d\u00e9part de la tortue sont : \", str(turtle.position()))\n\nprint(\"La couleur du trait est rouge et celle de remplissage est jaune\")\nturtle.color('red', 'yellow')\n\n# D\u00e9finissons le d\u00e9marrage du remplissage\nturtle.begin_fill()\n\n# Assurons-nous que la tortue va tracer\nturtle.pendown()\n\n# D\u00e9finissons l'angle et la longueur initiale\nangle = 90.0\nlongueur = 200.0\n\nfor i in range(0,4):\n if i > 0 :\n # On ne fait pas tourner la tortue au premier passage"}, {"role": "assistant", "content": "\n print(\"La tortue tourne d'un angle de \", angle, \"\u00b0\") \n turtle.left(angle)\n print(\"La tortue avance de \", longueur, \"pixels\") \n turtle.forward(longueur)\n print(\"Les coordonn\u00e9es de la tortue sont maintenant : \", str(turtle.position()))\n \n# Indiquons qu'on a fini de d\u00e9finir la zone de remplissage et qu'il faut remplir\nturtle.end_fill()\n\n# Masquons la tortue\nturtle.hideturtle()\n\n# Indiquons que c'est fini et bloquons l'affichage de l'\u00e9cran\nturtle.done()"}]
| false
| null | null | null |
3f616c0ec5cb9f9168deb2eab264a4ca33f5fd34
|
TheStack--python--010.parquet
|
Complete this incomplete Pythoncode:Python code: while True: owed = input("Change owed: ") try: owed = int(float(owed) * 100) if owed < 0: ... code continues ...
|
Completion: Missing: If block is incomplete - body missing To complete: • Add body to If block or use 'pass' statement Example continuation: continue else: break except ValueError: pass
|
intermediate
|
general
|
incomplete_code
|
Pythoncode:Python
| 0
| 0
| 113
| false
|
[{"role": "user", "content": "Complete this incomplete Pythoncode:Python code:\nwhile True:\n owed = input(\"Change owed: \")\n try:\n owed = int(float(owed) * 100)\n if owed < 0:\n\n ... code continues ..."}, {"role": "assistant", "content": " Completion:\n\n Missing: If block is incomplete - body missing\n\n To complete:\n \u2022 Add body to If block or use 'pass' statement\n\n Example continuation:\n continue\n else:\n break\n except ValueError:\n pass"}]
| true
|
syntax
|
MID_BLOCK
|
HIGH
|
3f62cdf2fb0d7596fdd3f5b3cb809d0cda1fc240
|
TheStack--python--010.parquet
|
Debug this Pythoncode:Python code: ################################################################################### ## Description: Text analytics of the labelled dedoose data ### ## Status: WIP ### ################################################################################### from nltk.corpus import stopwords from wordcloud import WordCloud import matplotlib.pyplot as plt import pandas as pd import numpy as np import operator # path to data folder path = '/home/irina/data' #========== reading data df = pd.read_csv(path + '/dedoose.csv', encoding='utf-8') egbotdo = dict() egbotdont = dict() docount = 0 dontcount = 0 #========== constructing frequency dictionaries for index, row in df.iterrows(): words = row['Excerpt'].lower().split(' ') label = row['Label'] if label in 'egbotdont': dontcount += 1 if label in 'egbotdo': docount += 1 for word in words: if label in 'egbotdont': if word in egbotdont: egbotdont[word] += 1 else: egbotdont[word] = 1 if label in 'egbotdo': if word in egbotdo: egbotdo[word] += 1 else: egbotdo[word] = 1 # sort them based on frequency count, descending freq_do = sorted(egbotdo.items(), key=operator.itemgetter(1), reverse=True) freq_dont = sorted(egbotdont.items(), key=operator.itemgetter(1), reverse=True) #=========== word cloud # remove stopwords => nltk stop = set(stopwords.words('english')) egbotdo_filtered = dict() egbotdont_filtered = dict() for word in egbotdo: if word not in stop: egbotdo_filtered[word] = egbotdo[word] for word in egbotdont: if word not in stop: egbotdont_filtered[word] = egbotdont[word] # generate a word cloud image for egbotdo wordcloud = WordCloud().generate_from_frequencies(egbotdo_filtered, max_font_size=40) plt.figure() plt.title('egbotdo') plt.imshow(wordcloud, interpolation='bilinear') plt.axis('off') # generate a word cloud image for egbotdont wordcloud = WordCloud().generate_from_frequencies(egbotdont_filtered, max_font_size=40) plt.figure() plt.title('egbotdont') plt.imshow(wordcloud, interpolation="bilinear") plt.axis('off') # sort them based on frequency count, descending freq_do = sorted(egbotdo_filtered.items(), key=operator.itemgetter(1), reverse=True) freq_dont = sorted(egbotdont_filtered.items(), key=operator.itemgetter(1), reverse=True) #=========== pie chart plt.figure() count_Class=pd.value_counts(df['Label'], sort= True) count_Class.plot(kind = 'pie', autopct='%1.0f%%') plt.title('Pie chart') plt.ylabel('') plt.show()
|
Code analysis results: ⚠️ Warnings: Unexpected indentation at line 28 Unexpected indentation at line 29 Unexpected indentation at line 32 Unexpected indentation at line 39
|
intermediate
|
oop
|
debugging
|
Pythoncode:Python
| 0
| 0
| 2,659
| true
|
[{"role": "user", "content": "Debug this Pythoncode:Python code:\n###################################################################################\n## Description: Text analytics of the labelled dedoose data ###\n## Status: WIP\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t ###\n###################################################################################\n\nfrom nltk.corpus import stopwords\nfrom wordcloud import WordCloud\nimport matplotlib.pyplot as plt\nimport pandas as pd\nimport numpy as np\nimport operator\n\n# path to data folder\npath = '/home/irina/data'\n\n#========== reading data \ndf = pd.read_csv(path + '/dedoose.csv', encoding='utf-8')\n\negbotdo = dict()\negbotdont = dict()\n\ndocount = 0\ndontcount = 0\n\n#========== constructing frequency dictionaries\nfor index, row in df.iterrows():\n words = row['Excerpt'].lower().split(' ')\n label = row['Label']\n \n if label in 'egbotdont':\n dontcount += 1\n if label in 'egbotdo':\n docount += 1 \n\n for word in words:\n if label in 'egbotdont':\n if word in egbotdont:\n egbotdont[word] += 1\n else:\n egbotdont[word] = 1\n if label in 'egbotdo':\n if word in egbotdo:\n egbotdo[word] += 1\n else:\n egbotdo[word] = 1\n\n# sort them based on frequency count, descending\nfreq_do = sorted(egbotdo.items(), key=operator.itemgetter(1), reverse=True)\nfreq_dont = sorted(egbotdont.items(), key=operator.itemgetter(1), reverse=True)\n\n#=========== word cloud\n\n# remove stopwords => nltk \nstop = set(stopwords.words('english'))\n\negbotdo_filtered = dict()\negbotdont_filtered = dict()\n\nfor word in egbotdo:\n if word not in stop:\n egbotdo_filtered[word] = egbotdo[word]\nfor word in egbotdont:\n if word not in stop:\n egbotdont_filtered[word] = egbotdont[word]\n\n# generate a word cloud image for egbotdo\nwordcloud = WordCloud().generate_from_frequencies(egbotdo_filtered, max_font_size=40)\n\nplt.figure()\nplt.title('egbotdo')\nplt.imshow(wordcloud, interpolation='bilinear')\nplt.axis('off')\n\n# generate a word cloud image for egbotdont\nwordcloud = WordCloud().generate_from_frequencies(egbotdont_filtered, max_font_size=40)\n\nplt.figure()\nplt.title('egbotdont')\nplt.imshow(wordcloud, interpolation=\"bilinear\")\nplt.axis('off')\n\n# sort them based on frequency count, descending\nfreq_do = sorted(egbotdo_filtered.items(), key=operator.itemgetter(1), reverse=True)\nfreq_dont = sorted(egbotdont_filtered.items(), key=operator.itemgetter(1), reverse=True)\n\n#=========== pie chart \nplt.figure()\ncount_Class=pd.value_counts(df['Label'], sort= True)\ncount_Class.plot(kind = 'pie', autopct='%1.0f%%')\nplt.title('Pie chart')\nplt.ylabel('')\nplt.show()"}, {"role": "assistant", "content": " Code analysis results:\n\n\n\u26a0\ufe0f Warnings:\n Unexpected indentation at line 28\n Unexpected indentation at line 29\n Unexpected indentation at line 32\n Unexpected indentation at line 39"}]
| false
| null | null | null |
3f637dcc57bd2c74cdf55ea2528631b5b6475465
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: #!/bin/bash # See: https://github.com/VirusTrack/COVIDvu/blob/master/LICENSE # vim: set fileencoding=utf-8: from numpy import ndarray from pandas.core.indexes.base import Index from pandas.core.series import Series from plotly.offline import init_notebook_mode from typing import Union import cufflinks as cf import matplotlib.pyplot as plt import numpy as np import plotly.graph_objs as go def plotTimeSeries(x: Union[list, tuple, Series, ndarray], y: Union[list, tuple, Series, ndarray], name: Union[list, tuple, str], yLabel: str, color: Union[list, tuple, str], title: str = None): """Make interactive time series plots Parameters ---------- x: x-values. If iterable, will overlay plots y: y-values. If iterable, will overlay plots name: Name(s) of the object(s) for the legend color: Color(s) of the object(s) yLabel: y-axis label title: Plot title Returns ------- A plotly interactive plot of the input time series """ fig = go.Figure(layout={"title": title, "yaxis_title": yLabel, "legend": {"itemsizing": "constant"}, "hovermode": "x" } )
|
Error Analysis: Error Type: HARD_CUT Error: SyntaxError / EOF Detected Errors: • Unterminated string literal at line 24 • Block at line 4 has no indented body Fix: Complete the truncated code structure
|
intermediate
|
api
|
error_detection
|
Pythoncode:Python
| 1
| 0
| 1,338
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\n#!/bin/bash\n\n# See: https://github.com/VirusTrack/COVIDvu/blob/master/LICENSE \n# vim: set fileencoding=utf-8:\n\nfrom numpy import ndarray\nfrom pandas.core.indexes.base import Index\nfrom pandas.core.series import Series\nfrom plotly.offline import init_notebook_mode\nfrom typing import Union\n\nimport cufflinks as cf\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport plotly.graph_objs as go\n\n\ndef plotTimeSeries(x: Union[list, tuple, Series, ndarray],\n y: Union[list, tuple, Series, ndarray],\n name: Union[list, tuple, str],\n yLabel: str,\n color: Union[list, tuple, str],\n title: str = None):\n \"\"\"Make interactive time series plots\n\n Parameters\n ----------\n x: x-values. If iterable, will overlay plots\n y: y-values. If iterable, will overlay plots\n name: Name(s) of the object(s) for the legend\n color: Color(s) of the object(s)\n yLabel: y-axis label\n title: Plot title\n\n Returns\n -------\n A plotly interactive plot of the input time series\n \"\"\"\n\n fig = go.Figure(layout={\"title\": title,\n \"yaxis_title\": yLabel,\n \"legend\": {\"itemsizing\": \"constant\"},\n \"hovermode\": \"x\"\n }\n )"}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: HARD_CUT\n Error: SyntaxError / EOF\n\n Detected Errors:\n \u2022 Unterminated string literal at line 24\n \u2022 Block at line 4 has no indented body\n\n Fix: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
3f65165f83064a77c6116f1a305e301a3e40088a
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: #!/usr/bin/python import broadlink, configparser import sys, getopt import time, binascii import netaddr import Settings import re from os import path from Crypto.Cipher import AES ... [1 more functiondefs truncated ...
|
Error Analysis: Error Type: MISSING_BRACKETS Error: SyntaxError: unmatched brackets Detected Errors: • Code truncated in middle of expression - unexpected EOF • Unclosed '[' at line 13 - expected ']' • Invalid syntax at line 13: ... [1 more functiondefs truncated ... Fix: Add missing ']' bracket at line 13
|
intermediate
|
data_processing
|
error_detection
|
Pythoncode:Python
| 0
| 0
| 229
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\n#!/usr/bin/python\n\nimport broadlink, configparser\nimport sys, getopt\nimport time, binascii\nimport netaddr\nimport Settings\nimport re\nfrom os import path\nfrom Crypto.Cipher import AES\n\n\n ... [1 more functiondefs truncated ..."}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: MISSING_BRACKETS\n Error: SyntaxError: unmatched brackets\n\n Detected Errors:\n \u2022 Code truncated in middle of expression - unexpected EOF\n \u2022 Unclosed '[' at line 13 - expected ']'\n \u2022 Invalid syntax at line 13: ... [1 more functiondefs truncated ...\n\n\n Fix: Add missing ']' bracket at line 13"}]
| true
|
syntax
|
MISSING_BRACKETS
|
MEDIUM
|
3f6748d1d78aaaccb5312a7cef4cbd4f120269b9
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: import urllib2 url = "https://www.msn.com/en-in/weather/today/ludhianapunjabindia/we-city?q=ludhiana-punjab&form=PRWLAS&iso=IN&el"
|
Error Analysis: Error Type: HARD_CUT Error: SyntaxError / EOF Fix: Complete the truncated code structure
|
intermediate
|
api
|
error_detection
|
Pythoncode:Python
| 0
| 0
| 131
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\nimport urllib2\n\nurl = \"https://www.msn.com/en-in/weather/today/ludhianapunjabindia/we-city?q=ludhiana-punjab&form=PRWLAS&iso=IN&el\""}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: HARD_CUT\n Error: SyntaxError / EOF\n\n Fix: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
3f67627be6fe771ab7b49496b4a6220f1ce9ad3b
|
TheStack--python--010.parquet
|
Debug this Pythoncode:Python code: #!/usr/bin/python3 import re import copy import emoji import discord import logging import pymongo import configparser from discord.ext import commands from template import GUILD_TEMPLATE class Role(commands.Cog): def __init__(self, bot: commands.Bot, db: pymongo.database.Database): self.bot = bot self.db = db self.default_emoji_role_pattern = re.compile(" <@&([\d]+)> .") self.custom_emoji_role_pattern = re.compile(" <@&([\d]+)> (<:[a-z_]+:[\d]+>)") ... [2 more functiondefs truncated] ...
|
Code analysis results: 🔴 Errors found: Code truncated in middle of expression - unexpected EOF Block at line 14 has no indented body Invalid syntax at line 25: ... [2 more functiondefs truncated] ... ⚠️ Warnings: Unexpected indentation at line 18 Unexpected indentation at line 21 💡 Suggestions: Complete the expression on the last line Review syntax near the error location
|
advanced
|
database
|
debugging
|
Pythoncode:Python
| 1
| 1
| 517
| true
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[{"role": "user", "content": "Debug this Pythoncode:Python code:\n#!/usr/bin/python3\nimport re\nimport copy\nimport emoji\nimport discord\nimport logging\nimport pymongo\nimport configparser\nfrom discord.ext import commands\nfrom template import GUILD_TEMPLATE\n\n\n\nclass Role(commands.Cog):\n\n\tdef __init__(self, bot: commands.Bot, db: pymongo.database.Database):\n\t\tself.bot = bot\n\t\tself.db = db\n\n\t\tself.default_emoji_role_pattern = re.compile(\" <@&([\\d]+)> .\")\n\t\tself.custom_emoji_role_pattern = re.compile(\" <@&([\\d]+)> (<:[a-z_]+:[\\d]+>)\")\n\n\n\n ... [2 more functiondefs truncated] ..."}, {"role": "assistant", "content": " Code analysis results:\n\n\n\ud83d\udd34 Errors found:\n Code truncated in middle of expression - unexpected EOF\n Block at line 14 has no indented body\n Invalid syntax at line 25: ... [2 more functiondefs truncated] ...\n\n\n\u26a0\ufe0f Warnings:\n Unexpected indentation at line 18\n Unexpected indentation at line 21\n\n\ud83d\udca1 Suggestions:\n Complete the expression on the last line\n Review syntax near the error location"}]
| false
| null | null | null |
3f68a7547132ebe0d447f64427535b2f17683494
|
TheStack--python--010.parquet
|
Debug this Pythoncode:Python code: import logging import re from bandersnatch.filter import FilterReleasePlugin logger = logging.getLogger("bandersnatch") class PreReleaseFilter(FilterReleasePlugin): """ Filters releases considered pre-releases. """ name = "prerelease_release" PRERELEASE_PATTERNS = (r".+rc\d$", r".+a(lpha)?\d$", r".+b(eta)?\d$") def initialize_plugin(self): """ Initialize the plugin reading patterns from the config. """ self.patterns = [ re.compile(pattern_string) for pattern_string in self.PRERELEASE_PATTERNS ] logger.info(f"Initialized prerelease plugin with {self.patterns}") def check_match(self, name, version): """ Check if a release version matches any of the specificed patterns. Parameters ========== name: str Release name version: str Release version Returns ======= bool: True if it matches, False otherwise. """ return any(pattern.match(version) for pattern in self.patterns)
|
Code analysis results: 🔴 Errors found: Unterminated string literal at line 10 ⚠️ Warnings: Unexpected indentation at line 11 Unexpected indentation at line 12 Unexpected indentation at line 15 Unexpected indentation at line 19 💡 Suggestions: Add closing quote at line 10
|
advanced
|
oop
|
debugging
|
Pythoncode:Python
| 2
| 1
| 1,099
| true
|
[{"role": "user", "content": "Debug this Pythoncode:Python code:\nimport logging\nimport re\n\nfrom bandersnatch.filter import FilterReleasePlugin\n\nlogger = logging.getLogger(\"bandersnatch\")\n\n\nclass PreReleaseFilter(FilterReleasePlugin):\n \"\"\"\n Filters releases considered pre-releases.\n \"\"\"\n\n name = \"prerelease_release\"\n PRERELEASE_PATTERNS = (r\".+rc\\d$\", r\".+a(lpha)?\\d$\", r\".+b(eta)?\\d$\")\n\n def initialize_plugin(self):\n \"\"\"\n Initialize the plugin reading patterns from the config.\n \"\"\"\n self.patterns = [\n re.compile(pattern_string) for pattern_string in self.PRERELEASE_PATTERNS\n ]\n\n logger.info(f\"Initialized prerelease plugin with {self.patterns}\")\n\n def check_match(self, name, version):\n \"\"\"\n Check if a release version matches any of the specificed patterns.\n\n Parameters\n ==========\n name: str\n Release name\n version: str\n Release version\n\n Returns\n =======\n bool:\n True if it matches, False otherwise.\n \"\"\"\n return any(pattern.match(version) for pattern in self.patterns)"}, {"role": "assistant", "content": " Code analysis results:\n\n\n\ud83d\udd34 Errors found:\n Unterminated string literal at line 10\n\n\u26a0\ufe0f Warnings:\n Unexpected indentation at line 11\n Unexpected indentation at line 12\n Unexpected indentation at line 15\n Unexpected indentation at line 19\n\n\ud83d\udca1 Suggestions:\n Add closing quote at line 10"}]
| false
| null | null | null |
3f69c9bf5957f916cd17306fc7d3e91751ea14bf
|
TheStack--python--010.parquet
|
Repair the syntax errors in this Pythoncode:Python code: from django.contrib import admin # Register your models here. from application.models import SensorUsage, Settings class SensorUsageAdmin(admin.ModelAdmin): list_display = ['sensor', 'value', 'datetime'] class SettingsAdmin(admin.ModelAdmin): list_display = ['setting', 'value', 'description'] admin.site.register(SensorUsage, SensorUsageAdmin admin.site.register(Settings, SettingsAdmin)
|
Syntax Analysis: Syntax Errors Found: • Unclosed '(' at line 16 - expected ')' • SyntaxError: '(' was never closed at line 16 Fixes: • Add closing ')' bracket • Review code syntax
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intermediate
|
machine_learning
|
syntax_repair
|
Pythoncode:Python
| 0
| 2
| 405
| true
|
[{"role": "user", "content": "Repair the syntax errors in this Pythoncode:Python code:\nfrom django.contrib import admin\n\n\n# Register your models here.\nfrom application.models import SensorUsage, Settings\n\n\nclass SensorUsageAdmin(admin.ModelAdmin):\n list_display = ['sensor', 'value', 'datetime']\n\n\nclass SettingsAdmin(admin.ModelAdmin):\n list_display = ['setting', 'value', 'description']\n\n\nadmin.site.register(SensorUsage, SensorUsageAdmin\nadmin.site.register(Settings, SettingsAdmin)"}, {"role": "assistant", "content": " Syntax Analysis:\n\n Syntax Errors Found:\n \u2022 Unclosed '(' at line 16 - expected ')'\n \u2022 SyntaxError: '(' was never closed at line 16\n\n Fixes:\n \u2022 Add closing ')' bracket\n \u2022 Review code syntax"}]
| true
|
syntax
|
MISSING_BRACKETS
|
MEDIUM
|
3f69f13c8af9b63ef0496d1a6555525a1a1de7a2
|
TheStack--python--010.parquet
|
Explain this Pythoncode:Python code: """ Scraper specification for https://www.green-acres.es/. Re-uses the concrete item scraper logic defined in ``green_acres_gr``, as the site structure is identical. """ from typing import List, Type import real_estate_scrapers.concrete_items.green_acres_gr as green_acres_base from real_estate_scrapers.items import RealEstateHomePage, RealEstateListPage class GreenAcresEsRealEstateHomePage(green_acres_base.GreenAcresGrRealEstateHomePage): """ Entry point for scraping items from https://www.green-acres.es/. Defines how to extract urls pointing to ``GreenAcresGrRealEstateListPage``s. Re-uses the logic used for https://www.green-acres.gr/. """ @staticmethod def domain() -> str: return "green-acres.es" @staticmethod def start_urls() -> List[str]: return ["https://www.green-acres.es/en/properties"] class GreenAcresEsRealEstateListPage(green_acres_base.GreenAcresGrRealEstateListPage): """ Defines how to extract urls pointing to ``GreenAcresEsRealEstatePage``s. Re-uses the logic used for https://www.green-acres.gr/. """ @staticmethod def parent_page_type() -> Type[RealEstateHomePage]: return GreenAcresEsRealEstateHomePage class GreenAcresEsRealEstatePage(green_acres_base.GreenAcresGrRealEstatePage): """ Defines how to extract single real estate objects from https://www.green-acres.es/. Re-uses the logic used for https://www.green-acres.gr/. """ @staticmethod def parent_page_type() -> Type[RealEstateListPage]: return GreenAcresEsRealEstateListPage @property def country(self) -> str: return "ESP"
|
Functions: domain, start_urls, parent_page_type, parent_page_type, country Classes: GreenAcresEsRealEstateHomePage, GreenAcresEsRealEstateListPage, GreenAcresEsRealEstatePage This code demonstrates Pythoncode:Python programming.
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advanced
|
api
|
code_explanation
|
Pythoncode:Python
| 5
| 3
| 1,661
| true
|
[{"role": "user", "content": "Explain this Pythoncode:Python code:\n\"\"\"\nScraper specification for https://www.green-acres.es/.\n\nRe-uses the concrete item scraper logic defined in ``green_acres_gr``, as the site structure is identical.\n\"\"\"\nfrom typing import List, Type\n\nimport real_estate_scrapers.concrete_items.green_acres_gr as green_acres_base\nfrom real_estate_scrapers.items import RealEstateHomePage, RealEstateListPage\n\n\nclass GreenAcresEsRealEstateHomePage(green_acres_base.GreenAcresGrRealEstateHomePage):\n \"\"\"\n Entry point for scraping items from https://www.green-acres.es/.\n Defines how to extract urls pointing to ``GreenAcresGrRealEstateListPage``s.\n\n Re-uses the logic used for https://www.green-acres.gr/.\n \"\"\"\n\n @staticmethod\n def domain() -> str:\n return \"green-acres.es\"\n\n @staticmethod\n def start_urls() -> List[str]:\n return [\"https://www.green-acres.es/en/properties\"]\n\n\nclass GreenAcresEsRealEstateListPage(green_acres_base.GreenAcresGrRealEstateListPage):\n \"\"\"\n Defines how to extract urls pointing to ``GreenAcresEsRealEstatePage``s.\n\n Re-uses the logic used for https://www.green-acres.gr/.\n \"\"\"\n\n @staticmethod\n def parent_page_type() -> Type[RealEstateHomePage]:\n return GreenAcresEsRealEstateHomePage\n\n\nclass GreenAcresEsRealEstatePage(green_acres_base.GreenAcresGrRealEstatePage):\n \"\"\"\n Defines how to extract single real estate objects from https://www.green-acres.es/.\n\n Re-uses the logic used for https://www.green-acres.gr/.\n \"\"\"\n\n @staticmethod\n def parent_page_type() -> Type[RealEstateListPage]:\n return GreenAcresEsRealEstateListPage\n\n @property\n def country(self) -> str:\n return \"ESP\""}, {"role": "assistant", "content": " Functions: domain, start_urls, parent_page_type, parent_page_type, country\n Classes: GreenAcresEsRealEstateHomePage, GreenAcresEsRealEstateListPage, GreenAcresEsRealEstatePage\n This code demonstrates Pythoncode:Python programming."}]
| false
| null | null | null |
3f6a1296265d9e8bc4c16e7f9d25f798e98fec2c
|
TheStack--python--010.parquet
|
Suggest refactoring for this Pythoncode:Python code: import os, shutil, subprocess, sys, yaml, socket, requests, time from contextlib import contextmanager from flask import Flask, request, redirect, session from werkzeug.security import gen_salt from functools import wraps from utils import ( def auth_only(func): @wraps(func) def wrapped(*args, **kwargs): if not is_staff("cs61a") or not is_berkeley(): return login() return func(*args, **kwargs) return wrapped def gen_index_html(out, username, show_active=False): if not get_server_pid(username): out += "inactive or nonexistent.<br />" out += f"""<form action="{url_for('start')}" method="POST"> <input type="hidden" name="username" value="{username}" /> <input type="submit" value="Start IDE" /> </form>""" return html(out) config = get_config(username) if is_prod_build(): domain = f"{username}.{get_host()}" else: domain = f"{username}-{get_host()}" out += "active.<br />" out += f"""<form action="https://{domain}/login", method="POST"> <input type="hidden" name="base" value="" /><input type="hidden" name="password" value="{config['password']}" /> <input type="submit" value="Open IDE" /> </form><form action="{url_for('kill')}" method="POST"> <input type="hidden" name="username" value="{username}" /> <input type="submit" value="Kill IDE" /> </form>""" active = get_active_servers() if active and show_active: out += "<p>Active servers: " + ", ".join(active) + "</p>" return html(out) @app.route("/") @auth_only def index(): username = get_username() out = "<h1>61A Sandbox IDE</h1>\n" out += f"Hi {get_user()['name'].split()[0]}! Your IDE is " session[SK_RETURN_TO] = url_for("index") return gen_index_html(out, username, is_software_ta(get_user()["email"])) @app.route("/sudo/<username>") @auth_only def sudo(username): if not is_software_ta(get_user()["email"]): return redirect(url_for("index")) out = "<h1>61A Sandbox IDE</h1>\n" out += f"Hi {get_user()['name'].split()[0]}! {username}'s IDE is " session[SK_RETURN_TO] = url_for("sudo", username=username) return gen_index_html(out, username, True) @app.route("/start", methods=["POST"]) @auth_only ... [8 more functiondefs truncated] ...
|
Refactoring suggestions: Extract reusable functions Improve naming conventions Add documentation
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intermediate
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api
|
refactoring
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Pythoncode:Python
| 5
| 0
| 2,350
| true
|
[{"role": "user", "content": "Suggest refactoring for this Pythoncode:Python code:\nimport os, shutil, subprocess, sys, yaml, socket, requests, time\nfrom contextlib import contextmanager\nfrom flask import Flask, request, redirect, session\nfrom werkzeug.security import gen_salt\nfrom functools import wraps\nfrom utils import (\ndef auth_only(func):\n @wraps(func)\n def wrapped(*args, **kwargs):\n if not is_staff(\"cs61a\") or not is_berkeley():\n return login()\n return func(*args, **kwargs)\n\n return wrapped\n\n\ndef gen_index_html(out, username, show_active=False):\n if not get_server_pid(username):\n out += \"inactive or nonexistent.<br />\"\n out += f\"\"\"<form action=\"{url_for('start')}\" method=\"POST\">\n <input type=\"hidden\" name=\"username\" value=\"{username}\" />\n <input type=\"submit\" value=\"Start IDE\" />\n </form>\"\"\"\n return html(out)\n\n config = get_config(username)\n\n if is_prod_build():\n domain = f\"{username}.{get_host()}\"\n else:\n domain = f\"{username}-{get_host()}\"\n\n out += \"active.<br />\"\n out += f\"\"\"<form action=\"https://{domain}/login\", method=\"POST\">\n <input type=\"hidden\" name=\"base\" value=\"\" /><input type=\"hidden\" name=\"password\" value=\"{config['password']}\" />\n <input type=\"submit\" value=\"Open IDE\" />\n </form><form action=\"{url_for('kill')}\" method=\"POST\">\n <input type=\"hidden\" name=\"username\" value=\"{username}\" />\n <input type=\"submit\" value=\"Kill IDE\" />\n </form>\"\"\"\n\n active = get_active_servers()\n if active and show_active:\n out += \"<p>Active servers: \" + \", \".join(active) + \"</p>\"\n\n return html(out)\n\n\n@app.route(\"/\")\n@auth_only\ndef index():\n username = get_username()\n\n out = \"<h1>61A Sandbox IDE</h1>\\n\"\n out += f\"Hi {get_user()['name'].split()[0]}! Your IDE is \"\n\n session[SK_RETURN_TO] = url_for(\"index\")\n return gen_index_html(out, username, is_software_ta(get_user()[\"email\"]))\n\n\n@app.route(\"/sudo/<username>\")\n@auth_only\ndef sudo(username):\n if not is_software_ta(get_user()[\"email\"]):\n return redirect(url_for(\"index\"))\n\n out = \"<h1>61A Sandbox IDE</h1>\\n\"\n out += f\"Hi {get_user()['name'].split()[0]}! {username}'s IDE is \"\n\n session[SK_RETURN_TO] = url_for(\"sudo\", username=username)\n return gen_index_html(out, username, True)\n\n\n@app.route(\"/start\", methods=[\"POST\"])\n@auth_only\n\n ... [8 more functiondefs truncated] ..."}, {"role": "assistant", "content": "Refactoring suggestions:\n Extract reusable functions\n Improve naming conventions\n Add documentation"}]
| false
| null | null | null |
3f6a140b99db922fffb08883cff4d0a63dbea8f3
|
TheStack--python--010.parquet
|
Suggest refactoring for this Pythoncode:Python code: """ This modules houses the wrapper around the ZenPLaylist """ from os import environ from requests import get class ZPlaylist: """ Houses the class that interfaces with the ZenPlaylist component. """ def __init__(self): super().__init__() self.address = environ["ZP_URL"] """ The URL of the ZenPlayer endpoint """ def folder_add(self, **kwargs): """ Add the specified folder to the playlist """ resp = get(self.address + "/zenplaylist/add_files", params=kwargs) return resp.json()
|
Refactoring suggestions: Extract reusable functions Improve naming conventions Add documentation
|
advanced
|
api
|
refactoring
|
Pythoncode:Python
| 2
| 1
| 572
| true
|
[{"role": "user", "content": "Suggest refactoring for this Pythoncode:Python code:\n\"\"\" This modules houses the wrapper around the ZenPLaylist \"\"\"\nfrom os import environ\nfrom requests import get\n\n\nclass ZPlaylist:\n \"\"\"\n Houses the class that interfaces with the ZenPlaylist component.\n \"\"\"\n def __init__(self):\n super().__init__()\n self.address = environ[\"ZP_URL\"]\n \"\"\" The URL of the ZenPlayer endpoint \"\"\"\n\n def folder_add(self, **kwargs):\n \"\"\" Add the specified folder to the playlist \"\"\"\n resp = get(self.address + \"/zenplaylist/add_files\",\n params=kwargs)\n return resp.json()"}, {"role": "assistant", "content": "Refactoring suggestions:\n Extract reusable functions\n Improve naming conventions\n Add documentation"}]
| false
| null | null | null |
3f6b6397cc9fc7115ad530f620cb07e47a4271e4
|
TheStack--python--010.parquet
|
Complete this incomplete Pythoncode:Python code: #!/usr/bin/env python # -*- coding: utf-8 -*- def test_app(app): pdb_file = DATA_ORIGINAL / 'pdb' / 'PF05017.pdb' uid = str(uuid.uuid4()) task = IngestModelPdb(pdb_file=str(pdb_file), uid=str(uid)) assert 'pytest-bio3dbeacon-' in str(app.config['WORK_DIR']) # tasks should have been monkeypatched to return the same app assert 'pytest-bio3dbeacon-' in str(task.app.config['WORK_DIR']) def test_ingest_model_pdb(app, luigi_runner): """ Check that we copy the model PDB okay (into file + db) """ orig_pdb_file = DATA_ORIGINAL / 'pdb' / 'PF05017.pdb' uid = str(uuid.uuid4()) task = IngestModelPdb(pdb_file=str(orig_pdb_file), uid=uid) success = luigi_runner.run([task]) assert success expected_pdb_file = get_file_path( basedir=app.config['WORK_DIR'], uid=uid, suffix='.pdb') assert expected_pdb_file.exists() assert orig_pdb_file.read_text() == expected_pdb_file.read_text() with app.app_context(): entry = ModelStructure.query.get(uid) assert entry LOG.info("entry: %s", entry) assert entry.created_at assert entry.updated_at assert entry.original_path == str(orig_pdb_file) assert entry.pdb_created_at assert not entry.mmcif_created_at assert not entry.qmean_created_at assert not entry.model_data_created_at def test_process_model_pdb(app, monkeypatch, luigi_runner): """ Process all steps required to ingest the model PDB """ orig_pdb_file = DATA_ORIGINAL / 'pdb' / 'PF05017.pdb' expected_qmean_json_file = DATA_GENERATED / 'qmean' / 'PF05017_qmean.json' def mock_qmean(*args): with open(expected_qmean_json_file, 'rt') as fp: data = json.load(fp) return data monkeypatch.setattr(bio3dbeacon.tasks.QmeanRunner, 'run_remote', mock_qmean) task = ProcessModelPdb(pdb_file=str(orig_pdb_file)) success = luigi_runner.run([task]) assert success ... code continues ...
|
Completion: Missing: Function 'test_process_model_pdb' is incomplete - body truncated To complete: • Complete the function 'test_process_model_pdb' body and add missing return Example continuation: uid = task.get_uid() # expected_file_suffixes = ('.pdb', '.mmcif', '.bcif') expected_file_suffixes = ('.pdb', '.mmcif')
|
intermediate
|
testing
|
incomplete_code
|
Pythoncode:Python
| 4
| 0
| 2,016
| false
|
[{"role": "user", "content": "Complete this incomplete Pythoncode:Python code:\n#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\ndef test_app(app):\n\n pdb_file = DATA_ORIGINAL / 'pdb' / 'PF05017.pdb'\n uid = str(uuid.uuid4())\n\n task = IngestModelPdb(pdb_file=str(pdb_file), uid=str(uid))\n\n assert 'pytest-bio3dbeacon-' in str(app.config['WORK_DIR'])\n\n # tasks should have been monkeypatched to return the same app\n assert 'pytest-bio3dbeacon-' in str(task.app.config['WORK_DIR'])\n\n\ndef test_ingest_model_pdb(app, luigi_runner):\n \"\"\"\n Check that we copy the model PDB okay (into file + db)\n \"\"\"\n orig_pdb_file = DATA_ORIGINAL / 'pdb' / 'PF05017.pdb'\n uid = str(uuid.uuid4())\n\n task = IngestModelPdb(pdb_file=str(orig_pdb_file), uid=uid)\n\n success = luigi_runner.run([task])\n\n assert success\n\n expected_pdb_file = get_file_path(\n basedir=app.config['WORK_DIR'], uid=uid, suffix='.pdb')\n\n assert expected_pdb_file.exists()\n\n assert orig_pdb_file.read_text() == expected_pdb_file.read_text()\n\n with app.app_context():\n entry = ModelStructure.query.get(uid)\n assert entry\n LOG.info(\"entry: %s\", entry)\n assert entry.created_at\n assert entry.updated_at\n assert entry.original_path == str(orig_pdb_file)\n\n assert entry.pdb_created_at\n assert not entry.mmcif_created_at\n assert not entry.qmean_created_at\n assert not entry.model_data_created_at\n\n\ndef test_process_model_pdb(app, monkeypatch, luigi_runner):\n \"\"\"\n Process all steps required to ingest the model PDB\n \"\"\"\n\n orig_pdb_file = DATA_ORIGINAL / 'pdb' / 'PF05017.pdb'\n expected_qmean_json_file = DATA_GENERATED / 'qmean' / 'PF05017_qmean.json'\n\n def mock_qmean(*args):\n with open(expected_qmean_json_file, 'rt') as fp:\n data = json.load(fp)\n return data\n\n monkeypatch.setattr(bio3dbeacon.tasks.QmeanRunner,\n 'run_remote', mock_qmean)\n\n task = ProcessModelPdb(pdb_file=str(orig_pdb_file))\n\n success = luigi_runner.run([task])\n\n assert success\n\n\n ... code continues ..."}, {"role": "assistant", "content": " Completion:\n\n Missing: Function 'test_process_model_pdb' is incomplete - body truncated\n\n To complete:\n \u2022 Complete the function 'test_process_model_pdb' body and add missing return\n\n Example continuation:\n uid = task.get_uid()\n\n # expected_file_suffixes = ('.pdb', '.mmcif', '.bcif')\n expected_file_suffixes = ('.pdb', '.mmcif')"}]
| true
|
syntax
|
MID_FUNCTION
|
HIGH
|
3f6bc094ad8a5f2eb10595a70ca13bb3aa06ea55
|
TheStack--python--010.parquet
|
Explain this Pythoncode:Python code: # We've declared this list for you num_list = [2, 65, 3, 7, 39, 22, 11, 94, 299, 9, 20, 21, 51, 37] # Iterate through the provided `num_list` and print out every number in the list print("All of the numbers in the list are:") # YOUR CODE HERE! for number in num_list: print(number) # Iterate through the provided `num_list` and create an if statement to print every number greater than 50 print("Numbers greater than 50:") # YOUR CODE HERE! for number in num_list: if number > 50: print(number) # Iterate through the provided `num_list` to print the index of the first occurrence of the number 11. print("Index of first occurrence of the number 11:") index = 0 # YOUR CODE HERE! index = 0 for number in num_list: if number == 11: print(index) index += 1 # Iterate through the provided `num_list` and print the sum of all the numbers. print("Sum of all numbers:") sum = 0 # YOUR CODE HERE! sum = 0 for number in num_list: sum += number print(sum) fruits = [ "Apple", "Orange", "Banana", "Pomelo", "Apple", "Kiwi", "Peach", "Banana", "Grape", "Tomato", "Kiwi", "Apple", "Watermelon", "Lemon", "Pomelo", "Apple", "Banana", "Peach", "Apricot", "Grape"] # Iterate through the provided `fruits` list and print the number of times "Apple" appears in the list. print("Number of times 'Apple' appears in the list:") count = 0 # YOUR CODE HERE! for fruit in fruits: if fruit == "Apple": count += 1 print(count)
|
This code demonstrates Pythoncode:Python programming.
|
intermediate
|
ui
|
code_explanation
|
Pythoncode:Python
| 0
| 0
| 1,452
| false
|
[{"role": "user", "content": "Explain this Pythoncode:Python code:\n# We've declared this list for you\nnum_list = [2, 65, 3, 7, 39, 22, 11, 94, 299, 9, 20, 21, 51, 37]\n\n# Iterate through the provided `num_list` and print out every number in the list\nprint(\"All of the numbers in the list are:\")\n# YOUR CODE HERE!\nfor number in num_list:\n print(number)\n\n# Iterate through the provided `num_list` and create an if statement to print every number greater than 50\nprint(\"Numbers greater than 50:\")\n# YOUR CODE HERE!\nfor number in num_list:\n if number > 50:\n print(number)\n\n# Iterate through the provided `num_list` to print the index of the first occurrence of the number 11.\nprint(\"Index of first occurrence of the number 11:\")\nindex = 0\n# YOUR CODE HERE!\nindex = 0\nfor number in num_list:\n if number == 11:\n print(index)\n index += 1\n\n# Iterate through the provided `num_list` and print the sum of all the numbers.\nprint(\"Sum of all numbers:\")\nsum = 0\n# YOUR CODE HERE!\nsum = 0\nfor number in num_list:\n sum += number\nprint(sum)\nfruits = [\n \"Apple\", \"Orange\", \"Banana\", \"Pomelo\", \"Apple\", \"Kiwi\", \"Peach\", \"Banana\", \"Grape\", \"Tomato\",\n \"Kiwi\", \"Apple\", \"Watermelon\", \"Lemon\", \"Pomelo\", \"Apple\", \"Banana\", \"Peach\", \"Apricot\", \"Grape\"]\n\n# Iterate through the provided `fruits` list and print the number of times \"Apple\" appears in the list.\nprint(\"Number of times 'Apple' appears in the list:\")\ncount = 0\n# YOUR CODE HERE!\nfor fruit in fruits:\n if fruit == \"Apple\":\n count += 1\nprint(count)"}, {"role": "assistant", "content": " This code demonstrates Pythoncode:Python programming."}]
| false
| null | null | null |
3f6c52568bfa169b00962661872a441b61cb27c5
|
TheStack--python--010.parquet
|
Repair the syntax errors in this Pythoncode:Python code: import cv2 import mediapipe as mp import HandTrackingModule as htm import tensorflow as tf import RegNet as rg mpHands = mp.solutions.hands hands = mpHands.Hands(max_num_hands=1) # Mandatory : the network has been trained to recognize only one hand per image mpDraw = mp.solutions.drawing_utils stream = cv2.VideoCapture(0) # access cam regnet = rg.RegNet34() optimizer = tf.keras.optimizers.Adadelta(lr=1e-4) # We need to compile the model at the begining # possibility to load an existing model but custom layer error is still an unresolved issue to this day regnet.model.compile(optimizer=optimizer, loss=['mse', 'mse', 'mse'], loss_weights=[100, 100, 1], metrics=['mse']) regnet.model.load_weights('./weights/weights.h5') while True : ret, frame = stream.read() # read cam and put the data in frame frameRGB = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) results = hands.process(frameRGB) if results.multi_hand_landmarks: frame, joint_list = htm.track_hand(results, frame, regnet) cv2.imshow("HandTracking", frame) # display frame if cv2.waitKey(1) & 0xFF == ord('q'): # if 'Q' is pressed, Quit break stream.release() cv2.destroyAllWindows()
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Syntax Analysis: Syntax Errors Found: • IndentationError at line 2 Fixes: • Fix indentation to match Python syntax rules
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intermediate
|
api
|
syntax_repair
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Pythoncode:Python
| 0
| 0
| 1,334
| true
|
[{"role": "user", "content": "Repair the syntax errors in this Pythoncode:Python code:\nimport cv2\n import mediapipe as mp\nimport HandTrackingModule as htm\nimport tensorflow as tf\nimport RegNet as rg\n\nmpHands = mp.solutions.hands\nhands = mpHands.Hands(max_num_hands=1) # Mandatory : the network has been trained to recognize only one hand per image\nmpDraw = mp.solutions.drawing_utils\nstream = cv2.VideoCapture(0) # access cam\n\nregnet = rg.RegNet34()\noptimizer = tf.keras.optimizers.Adadelta(lr=1e-4)\n\n# We need to compile the model at the begining\n# possibility to load an existing model but custom layer error is still an unresolved issue to this day\nregnet.model.compile(optimizer=optimizer,\n loss=['mse', 'mse', 'mse'],\n loss_weights=[100, 100, 1],\n metrics=['mse'])\nregnet.model.load_weights('./weights/weights.h5')\n\nwhile True :\n ret, frame = stream.read() # read cam and put the data in frame\n frameRGB = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n results = hands.process(frameRGB)\n if results.multi_hand_landmarks:\n frame, joint_list = htm.track_hand(results, frame, regnet)\n cv2.imshow(\"HandTracking\", frame) # display frame\n if cv2.waitKey(1) & 0xFF == ord('q'): # if 'Q' is pressed, Quit\n break\nstream.release()\ncv2.destroyAllWindows()"}, {"role": "assistant", "content": " Syntax Analysis:\n\n Syntax Errors Found:\n \u2022 IndentationError at line 2\n\n Fixes:\n \u2022 Fix indentation to match Python syntax rules"}]
| true
|
syntax
|
BROKEN_INDENTATION
|
MEDIUM
|
3f6c68de92e6ba79cf860babf0011805e0c3a27d
|
TheStack--python--010.parquet
|
Fix this broken Pythoncode:Python code: import itertools import os import psutil import time from datetime import datetime from os.path import join, splitext, basename, exists, isfile import logging from copy import deepcopy from typing import Optional from collections import OrderedDict import numpy as np import pandas as pd from compress_pickle import dump, load import torch from torch import nn import torch.nn.functional as F from detectron2.data import MetadataCatalog from detectron2.structures import Instances, Boxes from detectron2.utils import comm from tqdm import tqdm from fsdet.engine import DefaultTrainer from fsdet.evaluation import (COCOEvaluator, DatasetEvaluators, LVISEvaluator, PascalVOCDetectionEvaluator, def get_available_ram_gb(): memory = psutil.virtual_memory().available * (1024.0 ** -3) return memory class LaplacianTrainer(DefaultTrainer): @classmethod def build_evaluator(cls, cfg, dataset_name, output_folder=None): """ Create evaluator(s) for a given dataset. This uses the special metadata "evaluator_type" associated with each builtin dataset. For your own dataset, you can simply create an evaluator manually in your script and do not have to worry about the hacky if-else logic here. """ if output_folder is None: output_folder = os.path.join(cfg.OUTPUT_DIR, "inference") evaluator_list = [] evaluator_type = MetadataCatalog.get(dataset_name).evaluator_type if evaluator_type == "coco": evaluator_list.append( COCOEvaluator(dataset_name, cfg, True, output_folder) ) if evaluator_type == "pascal_voc": return PascalVOCDetectionEvaluator(dataset_name) if evaluator_type == "lvis": return LVISEvaluator(dataset_name, cfg, True, output_folder) if len(evaluator_list) == raise NotImplementedError( "no Evaluator for the dataset {} with the type {}".format( dataset_name, evaluator_type ) ) if len(evaluator_list) == 1: return evaluator_list[0] return DatasetEvaluators(evaluator_list) @classmethod ... [2 more functiondefs truncated] ... Error: IndentationError: unexpected indent
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Fixed Code: import itertools import os import psutil import time from datetime import datetime from os.path import join, splitext, basename, exists, isfile import logging from copy import deepcopy from typing import Optional from collections import OrderedDict import numpy as np import pandas as pd from compress_pickle import dump, load import torch from torch import nn import torch.nn.functional as F from detectron2.data import MetadataCatalog Explanation: Fix indentation to match Python syntax rules
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advanced
|
database
|
error_fixing
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Pythoncode:Python
| 2
| 1
| 2,244
| true
|
[{"role": "user", "content": "Fix this broken Pythoncode:Python code:\nimport itertools\nimport os\nimport psutil\nimport time\nfrom datetime import datetime\nfrom os.path import join, splitext, basename, exists, isfile\nimport logging\nfrom copy import deepcopy\nfrom typing import Optional\nfrom collections import OrderedDict\n\nimport numpy as np\nimport pandas as pd\nfrom compress_pickle import dump, load\n\nimport torch\nfrom torch import nn\nimport torch.nn.functional as F\n\nfrom detectron2.data import MetadataCatalog\nfrom detectron2.structures import Instances, Boxes\nfrom detectron2.utils import comm\nfrom tqdm import tqdm\n\nfrom fsdet.engine import DefaultTrainer\nfrom fsdet.evaluation import (COCOEvaluator, DatasetEvaluators, LVISEvaluator, PascalVOCDetectionEvaluator,\ndef get_available_ram_gb():\n memory = psutil.virtual_memory().available * (1024.0 ** -3)\n return memory\n\n\nclass LaplacianTrainer(DefaultTrainer):\n @classmethod\n def build_evaluator(cls, cfg, dataset_name, output_folder=None):\n \"\"\"\n Create evaluator(s) for a given dataset.\n This uses the special metadata \"evaluator_type\" associated with each builtin dataset.\n For your own dataset, you can simply create an evaluator manually in your\n script and do not have to worry about the hacky if-else logic here.\n \"\"\"\n if output_folder is None:\n output_folder = os.path.join(cfg.OUTPUT_DIR, \"inference\")\n evaluator_list = []\n evaluator_type = MetadataCatalog.get(dataset_name).evaluator_type\n if evaluator_type == \"coco\":\n evaluator_list.append(\n COCOEvaluator(dataset_name, cfg, True, output_folder)\n )\n if evaluator_type == \"pascal_voc\":\n return PascalVOCDetectionEvaluator(dataset_name)\n if evaluator_type == \"lvis\":\n return LVISEvaluator(dataset_name, cfg, True, output_folder)\nif len(evaluator_list) ==\n raise NotImplementedError(\n \"no Evaluator for the dataset {} with the type {}\".format(\n dataset_name, evaluator_type\n )\n )\n if len(evaluator_list) == 1:\n return evaluator_list[0]\n return DatasetEvaluators(evaluator_list)\n\n @classmethod\n\n ... [2 more functiondefs truncated] ...\n\n Error: IndentationError: unexpected indent"}, {"role": "assistant", "content": " Fixed Code:\n\n\nimport itertools\nimport os\nimport psutil\nimport time\nfrom datetime import datetime\nfrom os.path import join, splitext, basename, exists, isfile\nimport logging\nfrom copy import deepcopy\nfrom typing import Optional\nfrom collections import OrderedDict\n\nimport numpy as np\nimport pandas as pd\nfrom compress_pickle import dump, load\n\nimport torch\nfrom torch import nn\nimport torch.nn.functional as F\n\nfrom detectron2.data import MetadataCatalog\n\n Explanation: Fix indentation to match Python syntax rules"}]
| true
|
syntax
|
BROKEN_INDENTATION
|
MEDIUM
|
3f6dae798470a6a7e41564cf629d5599df6df2ae
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: Apache-2.0 import json import os import sys def export_api(config): config = GGUtils.check_any_required_value(STREAM_NAME, config, "stream name") config = GGUtils.check_required_value(BUCKET_NAME, config, "bucket name") config = GGUtils.check_required_value(KEY_PREFIX, config, "key prefix") config = GGUtils.check_value_with_default(GGUtils.NEXT_SEQUENCE_NUMBER, config, "next sequence number", 0, lambda x: int(x)) config = GGUtils.check_value_with_default(STATUS_NEXT_SEQUENCE_NUMBER, config, "status next sequence number", 0, lambda x: int(x)) config = GGUtils.check_value_with_default(BATCH_SIZE, config, "batch size", 100, lambda x: int(x)) source_stream_name = config[GGUtils.find_key_name(STREAM_NAME, config, "stream name")] next_sequence_number = config[GGUtils.NEXT_SEQUENCE_NUMBER] bucket = config[BUCKET_NAME] key_prefix = config[KEY_PREFIX] batch_size = config[BATCH_SIZE] # Create a stream to hold the S3 export requests and a stream to hold the S3 export statuses export_stream_name, _ = GGUtils.create_export_stream(source_stream_name) # Export whatever data is in the stream GGUtils.loop_over_stream(source_stream_name, next_sequence_number, min_message_count=batch_size, max_message_count=batch_size, processing_function=lambda message_list: export_message_list(message_list=message_list, stream_name=export_stream_name, bucket=bucket, key_prefix=key_prefix)) def export_message_list(message_list, stream_name, bucket, key_prefix): min_sequence_number, max_sequence_number = GGUtils.get_min_and_max_sequence_numbers(message_list) with tempfile.NamedTemporaryFile(mode="w", delete=False) as temp: file_name = temp.name json.dump(list(GGUtils.get_dict_from_message(message) for message in message_list), temp, indent=4) key = f"{key_prefix}{min_sequence_number:09d}-{max_sequence_number:09d}" GGUtils.create_export_task(stream_name, file_name, bucket, key) # Run the export process as a task GGUtils.TaskHandler(export_api)
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Error Analysis: Error Type: MISSING_IMPORTS Error: NameError: name is not defined Fix: Add missing imports: import tempfile
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intermediate
|
api
|
error_detection
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Pythoncode:Python
| 2
| 0
| 2,589
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\n# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.\n# SPDX-License-Identifier: Apache-2.0\n\nimport json\nimport os\nimport sys\n\ndef export_api(config):\n config = GGUtils.check_any_required_value(STREAM_NAME, config, \"stream name\")\n config = GGUtils.check_required_value(BUCKET_NAME, config, \"bucket name\")\n config = GGUtils.check_required_value(KEY_PREFIX, config, \"key prefix\")\n config = GGUtils.check_value_with_default(GGUtils.NEXT_SEQUENCE_NUMBER, config, \"next sequence number\", 0,\n lambda x: int(x))\n config = GGUtils.check_value_with_default(STATUS_NEXT_SEQUENCE_NUMBER, config, \"status next sequence number\", 0,\n lambda x: int(x))\n config = GGUtils.check_value_with_default(BATCH_SIZE, config, \"batch size\", 100, lambda x: int(x))\n\n source_stream_name = config[GGUtils.find_key_name(STREAM_NAME, config, \"stream name\")]\n next_sequence_number = config[GGUtils.NEXT_SEQUENCE_NUMBER]\n bucket = config[BUCKET_NAME]\n key_prefix = config[KEY_PREFIX]\n batch_size = config[BATCH_SIZE]\n\n # Create a stream to hold the S3 export requests and a stream to hold the S3 export statuses\n export_stream_name, _ = GGUtils.create_export_stream(source_stream_name)\n\n # Export whatever data is in the stream\n GGUtils.loop_over_stream(source_stream_name, next_sequence_number,\n min_message_count=batch_size,\n max_message_count=batch_size,\n processing_function=lambda message_list: export_message_list(message_list=message_list,\n stream_name=export_stream_name,\n bucket=bucket,\n key_prefix=key_prefix))\n\n\ndef export_message_list(message_list, stream_name, bucket, key_prefix):\n min_sequence_number, max_sequence_number = GGUtils.get_min_and_max_sequence_numbers(message_list)\n\n with tempfile.NamedTemporaryFile(mode=\"w\", delete=False) as temp:\n file_name = temp.name\n json.dump(list(GGUtils.get_dict_from_message(message) for message in message_list), temp, indent=4)\n\n key = f\"{key_prefix}{min_sequence_number:09d}-{max_sequence_number:09d}\"\n GGUtils.create_export_task(stream_name, file_name, bucket, key)\n\n\n# Run the export process as a task\nGGUtils.TaskHandler(export_api)"}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: MISSING_IMPORTS\n Error: NameError: name is not defined\n\n Fix: Add missing imports: import tempfile"}]
| true
|
syntax
|
MISSING_IMPORTS
|
LOW
|
3f6dfb1eeae4ae16b728d9628f9dd8865744e95e
|
TheStack--python--010.parquet
|
Fix this broken Pythoncode:Python code: #!/usr/bin/env python2 import csv import matplotlib.pylab as plt def plot_quadrotor_attitude_data(): attitude_data = { "t": [], "roll": [], "pitch": [], "yaw": [] } attitude_output = open(QUADROTOR_ATTITUDE_CONTROLLER_OUTPUT, "r") attitude_reader = csv.reader(attitude_output, delimiter=",") next(attitude_reader) for row in attitude_reader: attitude_data["t"].append(float(row[0])) attitude_data["roll"].append(float(row[1])) attitude_data["pitch"].append(float(row[2])) attitude_data["yaw"].append(float(row[3])) plt.plot(attitude_data["t"], attitude_data["roll"], label="roll") plt.plot(attitude_data["t"], attitude_data["pitch"], label="pitch") plt.plot(attitude_data["t"], attitude_data["yaw"], label="yaw") plt.xlabel("Time (seconds)") plt.ylabel("Angle (degrees)") plt.legend(loc=0) plt.show() def plot_quadrotor_position_data(): position_data = { "t": [], "roll": [], "pitch": [], "yaw": [], "x": [], "y": [], "z": [] } position_output = open(QUADROTOR_POSITION_CONTROLLER_OUTPUT, "r") position_reader = csv.reader(position_output, delimiter=",") next(position_reader) for row in position_reader: position_data["t"].append(float(row[0])) position_data["roll"].append(float(row[1])) position_data["pitch"].append(float(row[2])) position_data["yaw"].append(float(row[3])) position_data["x"].append(float(row[4])) position_data["y"].append(float(row[5])) position_data["z"].append(float(row[6])) plt.subplot(2, 1, 1) plt.plot(position_data["t"], position_data["roll"], label="roll") plt.plot(position_data["t"], position_data["pitch"], label="pitch") plt.plot(position_data["t"], position_data["yaw"], label="yaw") plt.xlabel("Time (seconds)") plt.ylabel("Angle (degrees)") plt.legend(loc=0) plt.subplot(2, 1, 2) plt.plot(position_data["t"], position_data["x"], label="x") plt.plot(position_data["t"], position_data["y"], label="y") plt.plot(position_data["t"], position_data["z"], label="z") plt.xlabel("Time (seconds)") plt.ylabel("Position (meters)") plt.legend(loc=0) plt.show() ... [1 more functiondefs truncated ... Error: SyntaxError: unmatched brackets
|
Fixed Code: #!/usr/bin/env python2 import csv import matplotlib.pylab as plt def plot_quadrotor_attitude_data(): attitude_data = { "t": [], "roll": [], "pitch": [], "yaw": [] } attitude_output = open(QUADROTOR_ATTITUDE_CONTROLLER_OUTPUT, "r") attitude_reader = csv.reader(attitude_output, delimiter=",") next(attitude_reader) for row in attitude_reader: attitude_data["t"].append(float(row[0])) attitude_data["roll"].append(float(row[1])) attitude_data["pitch"].append(float(row[2])) attitude_data["yaw"].append(float(row[3])) Explanation: Add missing ']' bracket at line 73
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intermediate
|
data_processing
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error_fixing
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Pythoncode:Python
| 2
| 0
| 2,314
| true
|
[{"role": "user", "content": "Fix this broken Pythoncode:Python code:\n#!/usr/bin/env python2\nimport csv\nimport matplotlib.pylab as plt\n\ndef plot_quadrotor_attitude_data():\n attitude_data = {\n \"t\": [],\n \"roll\": [], \"pitch\": [], \"yaw\": []\n }\n\n attitude_output = open(QUADROTOR_ATTITUDE_CONTROLLER_OUTPUT, \"r\")\n attitude_reader = csv.reader(attitude_output, delimiter=\",\")\n next(attitude_reader)\n\n for row in attitude_reader:\n attitude_data[\"t\"].append(float(row[0]))\n attitude_data[\"roll\"].append(float(row[1]))\n attitude_data[\"pitch\"].append(float(row[2]))\n attitude_data[\"yaw\"].append(float(row[3]))\n\n plt.plot(attitude_data[\"t\"], attitude_data[\"roll\"], label=\"roll\")\n plt.plot(attitude_data[\"t\"], attitude_data[\"pitch\"], label=\"pitch\")\n plt.plot(attitude_data[\"t\"], attitude_data[\"yaw\"], label=\"yaw\")\n\n plt.xlabel(\"Time (seconds)\")\n plt.ylabel(\"Angle (degrees)\")\n plt.legend(loc=0)\n plt.show()\n\n\ndef plot_quadrotor_position_data():\n position_data = {\n \"t\": [],\n \"roll\": [], \"pitch\": [], \"yaw\": [],\n \"x\": [], \"y\": [], \"z\": []\n }\n\n position_output = open(QUADROTOR_POSITION_CONTROLLER_OUTPUT, \"r\")\n position_reader = csv.reader(position_output, delimiter=\",\")\n next(position_reader)\n\n for row in position_reader:\n position_data[\"t\"].append(float(row[0]))\n position_data[\"roll\"].append(float(row[1]))\n position_data[\"pitch\"].append(float(row[2]))\n position_data[\"yaw\"].append(float(row[3]))\n position_data[\"x\"].append(float(row[4]))\n position_data[\"y\"].append(float(row[5]))\n position_data[\"z\"].append(float(row[6]))\n\n plt.subplot(2, 1, 1)\n plt.plot(position_data[\"t\"], position_data[\"roll\"], label=\"roll\")\n plt.plot(position_data[\"t\"], position_data[\"pitch\"], label=\"pitch\")\n plt.plot(position_data[\"t\"], position_data[\"yaw\"], label=\"yaw\")\n\n plt.xlabel(\"Time (seconds)\")\n plt.ylabel(\"Angle (degrees)\")\n plt.legend(loc=0)\n\n plt.subplot(2, 1, 2)\n plt.plot(position_data[\"t\"], position_data[\"x\"], label=\"x\")\n plt.plot(position_data[\"t\"], position_data[\"y\"], label=\"y\")\n plt.plot(position_data[\"t\"], position_data[\"z\"], label=\"z\")\n\n plt.xlabel(\"Time (seconds)\")\n plt.ylabel(\"Position (meters)\")\n plt.legend(loc=0)\n\n plt.show()\n\n\n\n ... [1 more functiondefs truncated ...\n\n Error: SyntaxError: unmatched brackets"}, {"role": "assistant", "content": " Fixed Code:\n\n\n#!/usr/bin/env python2\nimport csv\nimport matplotlib.pylab as plt\n\ndef plot_quadrotor_attitude_data():\n attitude_data = {\n \"t\": [],\n \"roll\": [], \"pitch\": [], \"yaw\": []\n }\n\n attitude_output = open(QUADROTOR_ATTITUDE_CONTROLLER_OUTPUT, \"r\")\n attitude_reader = csv.reader(attitude_output, delimiter=\",\")\n next(attitude_reader)\n\n for row in attitude_reader:\n attitude_data[\"t\"].append(float(row[0]))\n attitude_data[\"roll\"].append(float(row[1]))\n attitude_data[\"pitch\"].append(float(row[2]))\n attitude_data[\"yaw\"].append(float(row[3]))\n\n\n Explanation: Add missing ']' bracket at line 73"}]
| true
|
syntax
|
MISSING_BRACKETS
|
MEDIUM
|
3f6fb4213bca77ff02671d41ba79dd9ed129ceb9
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TheStack--python--010.parquet
|
Explain this Pythoncode:Python code: # https://oj.leetcode.com/problems/minimum-window-substring/ class Solution: # @return a string def minWindow(self, S, T): needToFind, hasFound = {}, {} sLen, tLen = len(S), len(T) for c in T: if c not in needToFind: needToFind[c] = 1 hasFound[c] = 0 else: needToFind[c] += 1 minLen = sLen + 1 # minEnd set to -1, then return "" if we found nothing minStart, minEnd = 0, -1 start, count = 0, 0 for end in xrange(0, sLen): if S[end] not in needToFind: continue hasFound[S[end]] += 1 if hasFound[S[end]] <= needToFind[S[end]]: count += 1 if count == tLen: while True: if S[start] in needToFind: if hasFound[S[start]] <= needToFind[S[start]]: break hasFound[S[start]] -= 1 start += 1 currLen = end - start + 1 if minLen > currLen: minLen = currLen minStart = start minEnd = end return S[minStart:minEnd+1] s = Solution() print s.minWindow("ADOBECODEBANC", "ABC") print s.minWindow("a", "a") print s.minWindow("a", "aa")
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Functions: minWindow Classes: Solution This code demonstrates Pythoncode:Python programming.
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advanced
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api
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code_explanation
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Pythoncode:Python
| 1
| 1
| 1,157
| false
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[{"role": "user", "content": "Explain this Pythoncode:Python code:\n# https://oj.leetcode.com/problems/minimum-window-substring/\n\nclass Solution:\n # @return a string\n def minWindow(self, S, T):\n needToFind, hasFound = {}, {}\n sLen, tLen = len(S), len(T)\n\n for c in T:\n if c not in needToFind:\n needToFind[c] = 1\n hasFound[c] = 0\n else:\n needToFind[c] += 1\n\n minLen = sLen + 1\n # minEnd set to -1, then return \"\" if we found nothing\n minStart, minEnd = 0, -1\n start, count = 0, 0\n for end in xrange(0, sLen):\n if S[end] not in needToFind:\n continue\n\n hasFound[S[end]] += 1\n if hasFound[S[end]] <= needToFind[S[end]]:\n count += 1\n\n if count == tLen:\n while True:\n if S[start] in needToFind:\n if hasFound[S[start]] <= needToFind[S[start]]:\n break\n hasFound[S[start]] -= 1\n start += 1\n\n currLen = end - start + 1\n if minLen > currLen:\n minLen = currLen\n minStart = start\n minEnd = end\n\n return S[minStart:minEnd+1]\n\ns = Solution()\n\nprint s.minWindow(\"ADOBECODEBANC\", \"ABC\")\nprint s.minWindow(\"a\", \"a\")\nprint s.minWindow(\"a\", \"aa\")"}, {"role": "assistant", "content": " Functions: minWindow\n Classes: Solution\n This code demonstrates Pythoncode:Python programming."}]
| false
| null | null | null |
3f70f67479a2d2dcc29656d6b6df365993f6e9f1
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TheStack--python--010.parquet
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Fill in the in this Pythoncode:Python code: # # Copyright 2016 The BigDL Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import pytest from unittest import TestCase import tensorflow as tf from tensorflow.keras.applications.mobilenet_v2 import MobileNetV2 import numpy as np from bigdl.nano.tf.keras import Model class TestModelQuantize(TestCase): def test_model_quantize_ptq(self): model = MobileNetV2(weights=None, input_shape=[40, 40, 3], classes=10) model = Model(inputs=model.inputs, outputs=model.outputs) model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-3), loss=tf.keras.losses.BinaryCrossentropy(), metrics=[tf.keras.metrics.CategoricalAccuracy()],) train_examples = np.random.random((100, 40, 40, 3)) # Complete this line train_dataset = tf.data.Dataset.from_tensor_slices((train_examples, train_labels)) # Case 1: Default q_model = model.quantize(calib_dataset=train_dataset) assert q_model with q_model.sess as sess: output = sess.run(q_model.output_tensor, feed_dict={q_model.input_tensor[0]: train_examples[0:10]}) assert output[0].shape == (10, 10) # Case 2: Override by arguments q_model = model.quantize(calib_dataset=train_dataset, metric=tf.keras.metrics.CategoricalAccuracy(), tuning_strategy='basic', accuracy_criterion={'relative': 0.99, 'higher_is_better': True}) assert q_model with q_model.sess as sess: output = sess.run(q_model.output_tensor, feed_dict={q_model.input_tensor[0]: train_examples[0:10]}) assert output[0].shape == (10, 10) # Case 3: Invalid approach, dynamic or qat is not supported invalid_approach = 'dynamic' with pytest.raises(RuntimeError, match="post_training_dynamic_quant is invalid."): model.quantize(approach=invalid_approach)
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The missing line is: train_labels = np.random.randint(0, 10, size=(100,))
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advanced
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testing
|
fill_in_the_blank
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Pythoncode:Python
| 1
| 1
| 2,646
| true
|
[{"role": "user", "content": "Fill in the in this Pythoncode:Python code:\n#\n# Copyright 2016 The BigDL Authors.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n#\n\n\nimport pytest\nfrom unittest import TestCase\nimport tensorflow as tf\nfrom tensorflow.keras.applications.mobilenet_v2 import MobileNetV2\nimport numpy as np\nfrom bigdl.nano.tf.keras import Model\n\n\nclass TestModelQuantize(TestCase):\n def test_model_quantize_ptq(self):\n model = MobileNetV2(weights=None, input_shape=[40, 40, 3], classes=10)\n model = Model(inputs=model.inputs, outputs=model.outputs)\n model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-3),\n loss=tf.keras.losses.BinaryCrossentropy(),\n metrics=[tf.keras.metrics.CategoricalAccuracy()],)\n train_examples = np.random.random((100, 40, 40, 3))\n # Complete this line\n train_dataset = tf.data.Dataset.from_tensor_slices((train_examples, train_labels))\n # Case 1: Default\n q_model = model.quantize(calib_dataset=train_dataset)\n assert q_model\n with q_model.sess as sess:\n output = sess.run(q_model.output_tensor,\n feed_dict={q_model.input_tensor[0]: train_examples[0:10]})\n assert output[0].shape == (10, 10)\n\n # Case 2: Override by arguments\n q_model = model.quantize(calib_dataset=train_dataset,\n metric=tf.keras.metrics.CategoricalAccuracy(),\n tuning_strategy='basic',\n accuracy_criterion={'relative': 0.99,\n 'higher_is_better': True})\n assert q_model\n with q_model.sess as sess:\n output = sess.run(q_model.output_tensor,\n feed_dict={q_model.input_tensor[0]: train_examples[0:10]})\n assert output[0].shape == (10, 10)\n\n # Case 3: Invalid approach, dynamic or qat is not supported\n invalid_approach = 'dynamic'\n with pytest.raises(RuntimeError, match=\"post_training_dynamic_quant is invalid.\"):\n model.quantize(approach=invalid_approach)"}, {"role": "assistant", "content": "The missing line is:\n train_labels = np.random.randint(0, 10, size=(100,))"}]
| false
| null | null | null |
3f712bf6673e46b233ab30fe7ad9c449c0ff4f6c
|
TheStack--python--010.parquet
|
Suggest refactoring for this Pythoncode:Python code: from django.test import override_settings from django.urls import reverse from openid.consumer import consumer from authentication.socialaccount.models import SocialAccount from authentication.tests import Mock, TestCase, patch from authentication.utils import get_user_model from . import views from .utils import AXAttribute class OpenIDTests(TestCase): def test_discovery_failure(self): """ This used to generate a server 500: DiscoveryFailure: No usable OpenID services found for http://www.google.com/ """ resp = self.client.post(reverse('openid_login'), dict(openid='http://www.google.com')) self.assertTrue('openid' in resp.context['form'].errors) def test_login(self): resp = self.client.post(reverse(views.login), dict(openid='http://me.yahoo.com')) assert 'login.yahooapis' in resp['location'] with patch('authentication.socialaccount.providers' '.openid.views._openid_consumer') as consumer_mock: client = Mock() complete = Mock() consumer_mock.return_value = client client.complete = complete complete_response = Mock() complete.return_value = complete_response complete_response.status = consumer.SUCCESS complete_response.identity_url = 'http://dummy/john/' with patch('authentication.socialaccount.providers' '.openid.utils.SRegResponse') as sr_mock: with patch('authentication.socialaccount.providers' '.openid.utils.FetchResponse') as fr_mock: sreg_mock = Mock() ax_mock = Mock() sr_mock.fromSuccessResponse = sreg_mock fr_mock.fromSuccessResponse = ax_mock sreg_mock.return_value = {} ax_mock.return_value = {AXAttribute.PERSON_FIRST_NAME: ['raymond']} resp = self.client.post(reverse('openid_callback')) self.assertRedirects( resp, "/accounts/profile/", fetch_redirect_response=False ) get_user_model().objects.get(first_name='raymond') @override_settings(SOCIALACCOUNT_PROVIDERS={'openid': {'SERVERS': [ dict(id='yahoo', name='Yahoo', openid_url='http://me.yahoo.com', extra_attributes=[ ('phone', 'http://axschema.org/contact/phone/default', True,) ])]}}) ... [1 more functiondefs truncated] ...
|
Refactoring suggestions: Extract reusable functions Improve naming conventions Add documentation
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advanced
|
testing
|
refactoring
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Pythoncode:Python
| 2
| 1
| 2,750
| true
|
[{"role": "user", "content": "Suggest refactoring for this Pythoncode:Python code:\nfrom django.test import override_settings\nfrom django.urls import reverse\n\nfrom openid.consumer import consumer\n\nfrom authentication.socialaccount.models import SocialAccount\nfrom authentication.tests import Mock, TestCase, patch\nfrom authentication.utils import get_user_model\n\nfrom . import views\nfrom .utils import AXAttribute\n\n\nclass OpenIDTests(TestCase):\n\n def test_discovery_failure(self):\n \"\"\"\n This used to generate a server 500:\n DiscoveryFailure: No usable OpenID services found\n for http://www.google.com/\n \"\"\"\n resp = self.client.post(reverse('openid_login'),\n dict(openid='http://www.google.com'))\n self.assertTrue('openid' in resp.context['form'].errors)\n\n def test_login(self):\n resp = self.client.post(reverse(views.login),\n dict(openid='http://me.yahoo.com'))\n assert 'login.yahooapis' in resp['location']\n with patch('authentication.socialaccount.providers'\n '.openid.views._openid_consumer') as consumer_mock:\n client = Mock()\n complete = Mock()\n consumer_mock.return_value = client\n client.complete = complete\n complete_response = Mock()\n complete.return_value = complete_response\n complete_response.status = consumer.SUCCESS\n complete_response.identity_url = 'http://dummy/john/'\n with patch('authentication.socialaccount.providers'\n '.openid.utils.SRegResponse') as sr_mock:\n with patch('authentication.socialaccount.providers'\n '.openid.utils.FetchResponse') as fr_mock:\n sreg_mock = Mock()\n ax_mock = Mock()\n sr_mock.fromSuccessResponse = sreg_mock\n fr_mock.fromSuccessResponse = ax_mock\n sreg_mock.return_value = {}\n ax_mock.return_value = {AXAttribute.PERSON_FIRST_NAME:\n ['raymond']}\n resp = self.client.post(reverse('openid_callback'))\n self.assertRedirects(\n resp, \"/accounts/profile/\",\n fetch_redirect_response=False\n )\n get_user_model().objects.get(first_name='raymond')\n\n @override_settings(SOCIALACCOUNT_PROVIDERS={'openid': {'SERVERS': [\n dict(id='yahoo',\n name='Yahoo',\n openid_url='http://me.yahoo.com',\n extra_attributes=[\n ('phone', 'http://axschema.org/contact/phone/default', True,)\n ])]}})\n\n ... [1 more functiondefs truncated] ..."}, {"role": "assistant", "content": "Refactoring suggestions:\n Extract reusable functions\n Improve naming conventions\n Add documentation"}]
| false
| null | null | null |
3f71a20c4813f33c64a336b19d88ec6b6e5dd801
|
TheStack--python--010.parquet
|
Complete this incomplete Pythoncode:Python code: from djangorestframework.views import View from djangorestframework.permissions import PerUserThrottling, IsAuthenticated from django.core.urlresolvers import reverse class PermissionsExampleView(View): """ A container view for permissions examples. """ def get(self, request): return [{'name': 'Throttling Example', 'url': reverse('throttled-resource')}, {'name': 'Logged in example', 'url': reverse('loggedin-resource')},] class ThrottlingExampleView(View): """ ... code continues ...
|
Completion: Missing: Code truncated abruptly - unexpected end of file To complete: • Complete the truncated code structure Example continuation: A basic read-only View that has a **per-user throttle** of 10 requests per minute. If a user exceeds the 10 requests limit within a period of one minute, the throttle will be applied until 60 seconds have passed since the first request. """
|
advanced
|
testing
|
incomplete_code
|
Pythoncode:Python
| 3
| 3
| 511
| true
|
[{"role": "user", "content": "Complete this incomplete Pythoncode:Python code:\nfrom djangorestframework.views import View\nfrom djangorestframework.permissions import PerUserThrottling, IsAuthenticated\nfrom django.core.urlresolvers import reverse\n\nclass PermissionsExampleView(View):\n \"\"\"\n A container view for permissions examples.\n \"\"\"\n\n def get(self, request):\n return [{'name': 'Throttling Example', 'url': reverse('throttled-resource')},\n {'name': 'Logged in example', 'url': reverse('loggedin-resource')},]\n\n\nclass ThrottlingExampleView(View):\n \"\"\"\n\n ... code continues ..."}, {"role": "assistant", "content": " Completion:\n\n Missing: Code truncated abruptly - unexpected end of file\n\n To complete:\n \u2022 Complete the truncated code structure\n\n Example continuation:\n A basic read-only View that has a **per-user throttle** of 10 requests per minute.\n\n If a user exceeds the 10 requests limit within a period of one minute, the\n throttle will be applied until 60 seconds have passed since the first request.\n \"\"\""}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
3f71e67bb8ac43c259a1c82999dd8c5a36fe660f
|
TheStack--python--010.parquet
|
Debug this Pythoncode:Python code: # -*- coding: utf-8 -*- def download_data(base_url: str, metric: str) -> pd.DataFrame: """ Download and format JHU data. Downloads the data from the JHU repo, extracts the UID and the date columns, and enforces the date datatype on the the time column. """ # Read data df = pd.read_csv(base_url.format(metric=metric)) # Keep the UID and the time series columns only # The regex filters for columns with the date format MM-DD-YY or M-D-YY df = df.filter(regex=r"\d{1,2}\/\d{1,2}\/\d{2}|UID").melt( id_vars=["UID"], var_name="timestamp", value_name="cumulative_counts" ) df["timestamp"] = pd.to_datetime(df["timestamp"]) return df def create_diffs_column(df: pd.DataFrame) -> pd.DataFrame: """ Compute pairwise differences of cumulative values to get incidence. Using the cumulative_counts column from the dataframe, partitions the dataframe into separate time-series based on fips, and then computes pairwise differences of the cumulative values to get the incidence values. Boundary cases are handled by zero-filling the day prior. """ # Take time-diffs in each geo_code partition df = df.set_index(["fips", "timestamp"]) df["new_counts"] = df.groupby(level=0)["cumulative_counts"].diff() # Fill the NA value for the first date of each partition with the cumulative value that day # (i.e. pretend the cumulative count the day before was 0) na_value_mask = df["new_counts"].isna() df.loc[na_value_mask, "new_counts"] = df.loc[na_value_mask, "cumulative_counts"] df = df.reset_index() return df def sanity_check_data(df: pd.DataFrame) -> pd.DataFrame: """Perform a final set of sanity checks on the data.""" days_by_fips = df.groupby("fips").count()["cumulative_counts"].unique() unique_days = df["timestamp"].unique() # each FIPS has same number of rows if (len(days_by_fips) > 1) or (days_by_fips[0] != len(unique_days)): raise ValueError("Differing number of days by fips") min_timestamp = min(unique_days) max_timestamp = max(unique_days) n_days = (max_timestamp - min_timestamp) / np.timedelta64(1, "D") + 1 if n_days != len(unique_days): raise ValueError( f"Not every day between {min_timestamp} and " f"{max_timestamp} is represented." ) ... [1 more functiondefs truncated] ...
|
Code analysis results: 🔴 Errors found: Code truncated in middle of expression - unexpected EOF Unterminated string literal at line 3 Invalid syntax at line 60: ... [1 more functiondefs truncated] ... ⚠️ Warnings: Unexpected indentation at line 4 Unexpected indentation at line 7 Unexpected indentation at line 8 Unexpected indentation at line 9 💡 Suggestions: Complete the expression on the last line Add closing quote at line 3 Review syntax near the error location
|
intermediate
|
database
|
debugging
|
Pythoncode:Python
| 3
| 0
| 2,408
| false
|
[{"role": "user", "content": "Debug this Pythoncode:Python code:\n# -*- coding: utf-8 -*-\ndef download_data(base_url: str, metric: str) -> pd.DataFrame:\n \"\"\"\n Download and format JHU data.\n\n Downloads the data from the JHU repo, extracts the UID and the date columns, and\n enforces the date datatype on the the time column.\n \"\"\"\n # Read data\n df = pd.read_csv(base_url.format(metric=metric))\n # Keep the UID and the time series columns only\n # The regex filters for columns with the date format MM-DD-YY or M-D-YY\n df = df.filter(regex=r\"\\d{1,2}\\/\\d{1,2}\\/\\d{2}|UID\").melt(\n id_vars=[\"UID\"], var_name=\"timestamp\", value_name=\"cumulative_counts\"\n )\n df[\"timestamp\"] = pd.to_datetime(df[\"timestamp\"])\n return df\n\n\ndef create_diffs_column(df: pd.DataFrame) -> pd.DataFrame:\n \"\"\"\n Compute pairwise differences of cumulative values to get incidence.\n\n Using the cumulative_counts column from the dataframe, partitions the dataframe\n into separate time-series based on fips, and then computes pairwise differences\n of the cumulative values to get the incidence values. Boundary cases are handled\n by zero-filling the day prior.\n \"\"\"\n # Take time-diffs in each geo_code partition\n df = df.set_index([\"fips\", \"timestamp\"])\n df[\"new_counts\"] = df.groupby(level=0)[\"cumulative_counts\"].diff()\n # Fill the NA value for the first date of each partition with the cumulative value that day\n # (i.e. pretend the cumulative count the day before was 0)\n na_value_mask = df[\"new_counts\"].isna()\n df.loc[na_value_mask, \"new_counts\"] = df.loc[na_value_mask, \"cumulative_counts\"]\n df = df.reset_index()\n return df\n\n\ndef sanity_check_data(df: pd.DataFrame) -> pd.DataFrame:\n \"\"\"Perform a final set of sanity checks on the data.\"\"\"\n days_by_fips = df.groupby(\"fips\").count()[\"cumulative_counts\"].unique()\n unique_days = df[\"timestamp\"].unique()\n\n # each FIPS has same number of rows\n if (len(days_by_fips) > 1) or (days_by_fips[0] != len(unique_days)):\n raise ValueError(\"Differing number of days by fips\")\n\n min_timestamp = min(unique_days)\n max_timestamp = max(unique_days)\n n_days = (max_timestamp - min_timestamp) / np.timedelta64(1, \"D\") + 1\n if n_days != len(unique_days):\n raise ValueError(\n f\"Not every day between {min_timestamp} and \"\n f\"{max_timestamp} is represented.\"\n )\n\n\n\n ... [1 more functiondefs truncated] ..."}, {"role": "assistant", "content": " Code analysis results:\n\n\n\ud83d\udd34 Errors found:\n Code truncated in middle of expression - unexpected EOF\n Unterminated string literal at line 3\n Invalid syntax at line 60: ... [1 more functiondefs truncated] ...\n\n\n\u26a0\ufe0f Warnings:\n Unexpected indentation at line 4\n Unexpected indentation at line 7\n Unexpected indentation at line 8\n Unexpected indentation at line 9\n\n\ud83d\udca1 Suggestions:\n Complete the expression on the last line\n Add closing quote at line 3\n Review syntax near the error location"}]
| false
| null | null | null |
3f72526ad97857e761cd2a2650553784d2526457
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: config = 'chest_spawn_rate': .10, #chance for chest to spawn in a dungeon room, logic is <, higher is better chance 'hero_mob_rare_loot_rate': .25, #chance for a hero mob to drop rare loot, logic is < than, higher is better chance 'mob_physical_loot_drop_rate': .30, #chance for all mobs to drop physical loot, higher is better chance. }
|
Error Analysis: Error Type: MISSING_BRACKETS Error: SyntaxError: unmatched brackets Detected Errors: • Unmatched closing bracket '}' at line 8 • Unmatched bracket/parenthesis at line 8 Fix: Add missing '{' bracket at line 2
|
intermediate
|
general
|
error_detection
|
Pythoncode:Python
| 0
| 0
| 342
| false
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\n\nconfig = \n\n'chest_spawn_rate': .10, #chance for chest to spawn in a dungeon room, logic is <, higher is better chance\n'hero_mob_rare_loot_rate': .25, #chance for a hero mob to drop rare loot, logic is < than, higher is better chance\n'mob_physical_loot_drop_rate': .30, #chance for all mobs to drop physical loot, higher is better chance.\n\n}"}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: MISSING_BRACKETS\n Error: SyntaxError: unmatched brackets\n\n Detected Errors:\n \u2022 Unmatched closing bracket '}' at line 8\n \u2022 Unmatched bracket/parenthesis at line 8\n\n Fix: Add missing '{' bracket at line 2"}]
| true
|
syntax
|
MISSING_BRACKETS
|
MEDIUM
|
3f742d6837cee108c6a76443bacdc86cd11cb926
|
TheStack--python--010.parquet
|
Complete this Pythoncode:Python code: import base64 import logging from oic.extension.client import Client as ClientExtension from oic.extension.message import TokenIntrospectionResponse from oic.oauth2 import Client as Oauth2Client from oic.oauth2.message import AccessTokenResponse from oic.oic import Client from oic.oic import Token from oic.oic.message import AuthorizationResponse, ProviderConfigurationResponse, RegistrationResponse from oic.utils.authn.client import CLIENT_AUTHN_METHOD from .message_factory import CCMessageFactory class PyoidcFacade: """ Wrapper around pyoidc library, coupled with config for a simplified API for flask-pyoidc. """ def __init__(self, provider_configuration, redirect_uri): """ Args: provider_configuration (flask_pyoidc.provider_configuration.ProviderConfiguration) """ self._provider_configuration = provider_configuration self._client = Client(client_authn_method=CLIENT_AUTHN_METHOD, settings=provider_configuration.client_settings) # Token Introspection is implemented under extension sub-package of # the client in pyoidc. self._client_extension = ClientExtension(client_authn_method=CLIENT_AUTHN_METHOD, settings=provider_configuration.client_settings) # Client Credentials Flow is implemented under oauth2 sub-package of # the client in pyoidc. self._oauth2_client = Oauth2Client(client_authn_method=CLIENT_AUTHN_METHOD, message_factory=CCMessageFactory,
|
settings=self._provider_configuration.client_settings) provider_metadata = provider_configuration.ensure_provider_metadata(self._client) self._client.handle_provider_config(ProviderConfigurationResponse(**provider_metadata.to_dict()), provider_metadata['issuer']) if self._provider_configuration.registered_client_metadata: client_metadata = self._provider_configuration.registered_client_metadata.to_dict() client_metadata.update(redirect_uris=list(redirect_uri)) self._store_registration_info(client_metadata) self._redirect_uri = redirect_uri def _store_registration_info(self, client_metadata): registration_response = RegistrationResponse(**client_metadata) self._client.store_registration_info(registration_response) self._client_extension.store_registration_info(registration_response) # Set client_id and client_secret for _oauth2_client. This is used # by Client Credentials Flow. self._oauth2_client.client_id = registration_response['client_id'] self._oauth2_client.client_secret = registration_response['client_secret'] ... [14 more functiondefs truncated] ...
|
advanced
|
api
|
code_completion
|
Pythoncode:Python
| 2
| 1
| 2,910
| true
|
[{"role": "user", "content": "Complete this Pythoncode:Python code:\nimport base64\nimport logging\n\nfrom oic.extension.client import Client as ClientExtension\nfrom oic.extension.message import TokenIntrospectionResponse\nfrom oic.oauth2 import Client as Oauth2Client\nfrom oic.oauth2.message import AccessTokenResponse\nfrom oic.oic import Client\nfrom oic.oic import Token\nfrom oic.oic.message import AuthorizationResponse, ProviderConfigurationResponse, RegistrationResponse\nfrom oic.utils.authn.client import CLIENT_AUTHN_METHOD\n\nfrom .message_factory import CCMessageFactory\n\nclass PyoidcFacade:\n \"\"\"\n Wrapper around pyoidc library, coupled with config for a simplified API for flask-pyoidc.\n \"\"\"\n\n def __init__(self, provider_configuration, redirect_uri):\n \"\"\"\n Args:\n provider_configuration (flask_pyoidc.provider_configuration.ProviderConfiguration)\n \"\"\"\n self._provider_configuration = provider_configuration\n self._client = Client(client_authn_method=CLIENT_AUTHN_METHOD,\n settings=provider_configuration.client_settings)\n # Token Introspection is implemented under extension sub-package of\n # the client in pyoidc.\n self._client_extension = ClientExtension(client_authn_method=CLIENT_AUTHN_METHOD,\n settings=provider_configuration.client_settings)\n # Client Credentials Flow is implemented under oauth2 sub-package of\n # the client in pyoidc.\n self._oauth2_client = Oauth2Client(client_authn_method=CLIENT_AUTHN_METHOD,\n message_factory=CCMessageFactory,"}, {"role": "assistant", "content": "\n settings=self._provider_configuration.client_settings)\n\n provider_metadata = provider_configuration.ensure_provider_metadata(self._client)\n self._client.handle_provider_config(ProviderConfigurationResponse(**provider_metadata.to_dict()),\n provider_metadata['issuer'])\n\n if self._provider_configuration.registered_client_metadata:\n client_metadata = self._provider_configuration.registered_client_metadata.to_dict()\n client_metadata.update(redirect_uris=list(redirect_uri))\n self._store_registration_info(client_metadata)\n\n self._redirect_uri = redirect_uri\n\n def _store_registration_info(self, client_metadata):\n registration_response = RegistrationResponse(**client_metadata)\n self._client.store_registration_info(registration_response)\n self._client_extension.store_registration_info(registration_response)\n # Set client_id and client_secret for _oauth2_client. This is used\n # by Client Credentials Flow.\n self._oauth2_client.client_id = registration_response['client_id']\n self._oauth2_client.client_secret = registration_response['client_secret']\n\n\n ... [14 more functiondefs truncated] ..."}]
| false
| null | null | null |
58aaf014f737b43396d51e1bef1881d845b7e911
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: """Read, split and save the CoNLL 2002 dataset for our model""" import csv import os import random import argparse import json def load_data(csv_path): """Loads the dataset into memory""" with open(csv_path, encoding='windows-1252') as f: csv_file = csv.reader(f, delimiter=',') words, labels = [], [] data = [] for r_idx, row in enumerate(csv_file): if r_idx == 0: continue sentence_flag, word, pos, label = row if sentence_flag != '': assert len(words) == len(labels) data.append((' '.join(words), ' '.join(labels))) words, labels = [], [] try: words.append(word) labels.append(label) except UnicodeDecodeError as e: print('An Exception was raised {}'.format(e)) pass return data def save_data(data, save_dir): """Writes sentences.txt and labels.txt files in save_dir from dataset :param data: list of tuples like (sentence, label) :param save_dir: string """ print('Saving data to {}...'.format(save_dir), end=' ') if not os.path.exists(save_dir): os.makedirs(save_dir) with open(os.path.join(save_dir, 'sentences.txt'), 'w', encoding='utf8') as sentence_file: with open(os.path.join(save_dir, 'labels.txt'), 'w') as label_file: for sentence, label in data: sentence_file.write(sentence + '\n') label_file.write(label + '\n') print('- Done') if __name__ == '__main__': parser = argparse.ArgumentParser('Process raw data and split it into train, dev, test set') parser.add_argument('--raw_data_path', type=str, default='data/CoNLL2002/ner_dataset.csv', help='specify the raw data you want to load and process') parser.add_argument('-
|
Error Analysis: Error Type: HARD_CUT Error: SyntaxError / EOF Detected Errors: • Code truncated in middle of expression - unexpected EOF • Unterminated string literal at line 37 • Unclosed '(' at line 58 - expected ')' Fix: Complete the truncated code structure
|
intermediate
|
testing
|
error_detection
|
Pythoncode:Python
| 2
| 0
| 1,907
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\n\"\"\"Read, split and save the CoNLL 2002 dataset for our model\"\"\"\n\nimport csv\nimport os\nimport random\nimport argparse\nimport json\n\n\ndef load_data(csv_path):\n \"\"\"Loads the dataset into memory\"\"\"\n with open(csv_path, encoding='windows-1252') as f:\n csv_file = csv.reader(f, delimiter=',')\n words, labels = [], []\n data = []\n\n for r_idx, row in enumerate(csv_file):\n if r_idx == 0:\n continue\n sentence_flag, word, pos, label = row\n if sentence_flag != '':\n assert len(words) == len(labels)\n data.append((' '.join(words), ' '.join(labels)))\n words, labels = [], []\n\n try:\n words.append(word)\n labels.append(label)\n except UnicodeDecodeError as e:\n print('An Exception was raised {}'.format(e))\n pass\n\n return data\n\n\ndef save_data(data, save_dir):\n \"\"\"Writes sentences.txt and labels.txt files in save_dir from dataset\n\n :param data: list of tuples like (sentence, label)\n :param save_dir: string\n \"\"\"\n print('Saving data to {}...'.format(save_dir), end=' ')\n if not os.path.exists(save_dir):\n os.makedirs(save_dir)\n\n with open(os.path.join(save_dir, 'sentences.txt'), 'w', encoding='utf8') as sentence_file:\n with open(os.path.join(save_dir, 'labels.txt'), 'w') as label_file:\n for sentence, label in data:\n sentence_file.write(sentence + '\\n')\n label_file.write(label + '\\n')\n print('- Done')\n\n\nif __name__ == '__main__':\n parser = argparse.ArgumentParser('Process raw data and split it into train, dev, test set')\n parser.add_argument('--raw_data_path', type=str, default='data/CoNLL2002/ner_dataset.csv',\n help='specify the raw data you want to load and process')\n parser.add_argument('-"}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: HARD_CUT\n Error: SyntaxError / EOF\n\n Detected Errors:\n \u2022 Code truncated in middle of expression - unexpected EOF\n \u2022 Unterminated string literal at line 37\n \u2022 Unclosed '(' at line 58 - expected ')'\n\n Fix: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
58ac5e482969c349fa2bb26edc84213ce372bb75
|
TheStack--python--010.parquet
|
Complete this incomplete Pythoncode:Python code: #! /usr/bin/env python # -*- coding: utf-8 -*- # # Interpreter version: python 2.7 # # Imports ===================================================================== import os import shutil import zipfile from BalancedDiscStorage.path_and_hash import PathAndHash from BalancedDiscStorage.balanced_disc_storage import BalancedDiscStorage # Functions & classes ========================================================= class BalancedDiscStorageZ(BalancedDiscStorage): """ This class is the same as :class:`.BalancedDiscStorage`, but it also allows adding the ``.zip`` files, which are unpacked to proper path in storage. """ def __init__(self, path): super(BalancedDiscStorageZ, self).__init__(path) self.max_zipfiles = self.dir_limit #: How many files may be in .zip def _unpack_zip(self, file_obj, path): """ Unpack .zip archive in `file_obj` to given `path`. Make sure, that it fits into limits (see :attr:`._max_zipfiles` for details). Args: file_obj (file): Opened file-like object. path (str): Path into which the .zip will be unpacked. Raises: ValueError: If there is too many files in .zip archive. """ old_cwd = os.getcwd() os.chdir(path) zip_obj = zipfile.ZipFile(file_obj) for cnt, zip_info in enumerate(zip_obj.infolist()): zip_obj.extract(zip_info) if cnt + 1 > self.max_zipfiles: os.chdir(old_cwd) msg = "Too many files in .zip " msg += "(self.max_zipfiles == {}, but {} given).".format( self.max_zipfiles, cnt + 1, ) raise ValueError(msg) os.chdir(old_cwd) def add_archive_as_dir(self, zip_file_obj): """ Add archive to the storage and unpack it. Args: zip_file_obj (file): Opened file-like object. Returns: obj: Path where the `zip_file_obj` was unpacked wrapped in \ :class:`.PathAndHash` structure. Raises: ValueError: If there is too many files in .zip archive. \ See :attr:`._max_zipfiles` for details. AssertionError: If the `zip_file_obj` is not file-like object. """ BalancedDiscStorage._check_interface(zip_file_obj) file_hash = self._get_hash(zip_file_obj) dir_path = self._create_dir_path(file_hash) full_path = os.path.join(dir_path, file_hash) if os.path.exists(full_path): shutil.rmtree(full_path) os.mkdir(full_path) try: self._unpack_zip(zip_file_obj, full_path) except Exception: shutil.rmtree(full_path) raise ... code continues ...
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Completion: Missing: Function missing return statement To complete: • Add return statement to function Example continuation:
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advanced
|
testing
|
incomplete_code
|
Pythoncode:Python
| 3
| 1
| 2,822
| true
|
[{"role": "user", "content": "Complete this incomplete Pythoncode:Python code:\n#! /usr/bin/env python\n# -*- coding: utf-8 -*-\n#\n# Interpreter version: python 2.7\n#\n# Imports =====================================================================\nimport os\nimport shutil\nimport zipfile\n\nfrom BalancedDiscStorage.path_and_hash import PathAndHash\nfrom BalancedDiscStorage.balanced_disc_storage import BalancedDiscStorage\n\n\n# Functions & classes =========================================================\nclass BalancedDiscStorageZ(BalancedDiscStorage):\n \"\"\"\n This class is the same as :class:`.BalancedDiscStorage`, but it also allows\n adding the ``.zip`` files, which are unpacked to proper path in storage.\n \"\"\"\n def __init__(self, path):\n super(BalancedDiscStorageZ, self).__init__(path)\n\n self.max_zipfiles = self.dir_limit #: How many files may be in .zip\n\n def _unpack_zip(self, file_obj, path):\n \"\"\"\n Unpack .zip archive in `file_obj` to given `path`. Make sure, that it\n fits into limits (see :attr:`._max_zipfiles` for details).\n\n Args:\n file_obj (file): Opened file-like object.\n path (str): Path into which the .zip will be unpacked.\n\n Raises:\n ValueError: If there is too many files in .zip archive.\n \"\"\"\n old_cwd = os.getcwd()\n os.chdir(path)\n\n zip_obj = zipfile.ZipFile(file_obj)\n for cnt, zip_info in enumerate(zip_obj.infolist()):\n zip_obj.extract(zip_info)\n\n if cnt + 1 > self.max_zipfiles:\n os.chdir(old_cwd)\n\n msg = \"Too many files in .zip \"\n msg += \"(self.max_zipfiles == {}, but {} given).\".format(\n self.max_zipfiles,\n cnt + 1,\n )\n raise ValueError(msg)\n\n os.chdir(old_cwd)\n\n def add_archive_as_dir(self, zip_file_obj):\n \"\"\"\n Add archive to the storage and unpack it.\n\n Args:\n zip_file_obj (file): Opened file-like object.\n\n Returns:\n obj: Path where the `zip_file_obj` was unpacked wrapped in \\\n :class:`.PathAndHash` structure.\n\n Raises:\n ValueError: If there is too many files in .zip archive. \\\n See :attr:`._max_zipfiles` for details.\n AssertionError: If the `zip_file_obj` is not file-like object.\n \"\"\"\n BalancedDiscStorage._check_interface(zip_file_obj)\n\n file_hash = self._get_hash(zip_file_obj)\n dir_path = self._create_dir_path(file_hash)\n full_path = os.path.join(dir_path, file_hash)\n\n if os.path.exists(full_path):\n shutil.rmtree(full_path)\n\n os.mkdir(full_path)\n\n try:\n self._unpack_zip(zip_file_obj, full_path)\n except Exception:\n shutil.rmtree(full_path)\n raise\n\n\n\n ... code continues ..."}, {"role": "assistant", "content": " Completion:\n\n Missing: Function missing return statement\n\n To complete:\n \u2022 Add return statement to function\n\n Example continuation:"}]
| true
|
syntax
|
INCOMPLETE_LOGIC
|
MEDIUM
|
58adb5594e20312053c90d6743dcc51367764d90
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TheStack--python--010.parquet
|
Fill in the in this Pythoncode:Python code: import numpy as np import torch class LimitPrior(object): def __init__(self, device, n_pose=32): self.parts = { 'pelvis0': 0, 'spine': 1, 'spine0': 2, 'spine1': 3, 'spine2': 4, 'spine3': 5, 'LLeg1': 6, 'LLeg2': 7, 'LLeg3': 8, 'LFoot': 9, 'RLeg1': 10, 'RLeg2': 11, 'RLeg3': 12, 'RFoot': 13, 'Neck': 14, 'Head': 15, 'LLegBack1': 16, 'LLegBack2': 17, 'LLegBack3': 18, 'LFootBack': 19, 'RLegBack1': 20, 'RLegBack2': 21, 'RLegBack3': 22, 'RFootBack': 23, 'Tail1': 24, 'Tail2': 25, 'Tail3': 26, 'Tail4': 27, 'Tail5': 28, 'Tail6': 29, 'Tail7': 30, # Complete this line } self.id2name = {v: k for k, v in self.parts.items()} # Ignore the first joint. self.prefix = 3 self.postfix= 99 self.part_ids = np.array(sorted(self.parts.values())) min_values = np.hstack([np.array(np.array(Ranges[self.id2name[part_id]])[:, 0]) for part_id in self.part_ids]) max_values = np.hstack([ np.array(np.array(Ranges[self.id2name[part_id]])[:, 1]) for part_id in self.part_ids ]) self.ranges = Ranges self.device = device self.min_values = torch.from_numpy(min_values).view(n_pose, 3).float().to(device) self.max_values = torch.from_numpy(max_values).view(n_pose, 3).float().to(device) def __call__(self, x): ''' Given x, rel rotation of 31 joints, for each parts compute the limit value. k is steepness of the curve, max_val + margin is the midpoint of the curve (val 0.5) Using Logistic: max limit: 1/(1 + exp(k * ((max_val + margin) - x))) min limit: 1/(1 + exp(k * (x - (min_val - margin)))) With max/min: minlimit: max( min_vals - x , 0 ) maxlimit: max( x - max_vals , 0 ) With exponential: min: exp(k * (minval - x) ) max: exp(k * (x - maxval) ) ''' ## Max/min discontinous but fast. (flat + L2 past the limit) x = x[:, self.prefix:self.postfix].view(x.shape[0], -1, 3) zeros = torch.zeros_like(x).to(self.device) # return np.maximum(x - self.max_values, zeros) + np.maximum(self.min_values - x, zeros) return torch.mean(torch.max(x - self.max_values.unsqueeze(0), zeros) + torch.max(self.min_values.unsqueeze(0) - x, zeros)) ... [1 more functiondefs truncated] ...
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The missing line is: 'Mouth': 31
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advanced
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ui
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fill_in_the_blank
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Pythoncode:Python
| 2
| 1
| 2,720
| true
|
[{"role": "user", "content": "Fill in the in this Pythoncode:Python code:\nimport numpy as np\nimport torch\nclass LimitPrior(object):\n def __init__(self, device, n_pose=32):\n self.parts = {\n 'pelvis0': 0,\n 'spine': 1,\n 'spine0': 2,\n 'spine1': 3,\n 'spine2': 4,\n 'spine3': 5,\n 'LLeg1': 6,\n 'LLeg2': 7,\n 'LLeg3': 8,\n 'LFoot': 9,\n 'RLeg1': 10,\n 'RLeg2': 11,\n 'RLeg3': 12,\n 'RFoot': 13,\n 'Neck': 14,\n 'Head': 15,\n 'LLegBack1': 16,\n 'LLegBack2': 17,\n 'LLegBack3': 18,\n 'LFootBack': 19,\n 'RLegBack1': 20,\n 'RLegBack2': 21,\n 'RLegBack3': 22,\n 'RFootBack': 23,\n 'Tail1': 24,\n 'Tail2': 25,\n 'Tail3': 26,\n 'Tail4': 27,\n 'Tail5': 28,\n 'Tail6': 29,\n 'Tail7': 30,\n # Complete this line\n }\n self.id2name = {v: k for k, v in self.parts.items()}\n # Ignore the first joint.\n self.prefix = 3\n self.postfix= 99\n self.part_ids = np.array(sorted(self.parts.values()))\n min_values = np.hstack([np.array(np.array(Ranges[self.id2name[part_id]])[:, 0]) for part_id in self.part_ids])\n max_values = np.hstack([\n np.array(np.array(Ranges[self.id2name[part_id]])[:, 1])\n for part_id in self.part_ids\n ])\n self.ranges = Ranges\n self.device = device\n self.min_values = torch.from_numpy(min_values).view(n_pose, 3).float().to(device)\n self.max_values = torch.from_numpy(max_values).view(n_pose, 3).float().to(device)\n\n def __call__(self, x):\n '''\n Given x, rel rotation of 31 joints, for each parts compute the limit value.\n k is steepness of the curve, max_val + margin is the midpoint of the curve (val 0.5)\n Using Logistic:\n max limit: 1/(1 + exp(k * ((max_val + margin) - x)))\n min limit: 1/(1 + exp(k * (x - (min_val - margin))))\n With max/min:\n minlimit: max( min_vals - x , 0 )\n maxlimit: max( x - max_vals , 0 )\n With exponential:\n min: exp(k * (minval - x) )\n max: exp(k * (x - maxval) )\n '''\n ## Max/min discontinous but fast. (flat + L2 past the limit)\n\n x = x[:, self.prefix:self.postfix].view(x.shape[0], -1, 3)\n zeros = torch.zeros_like(x).to(self.device)\n # return np.maximum(x - self.max_values, zeros) + np.maximum(self.min_values - x, zeros)\n return torch.mean(torch.max(x - self.max_values.unsqueeze(0), zeros) + torch.max(self.min_values.unsqueeze(0) - x, zeros))\n\n\n ... [1 more functiondefs truncated] ..."}, {"role": "assistant", "content": "The missing line is:\n 'Mouth': 31"}]
| false
| null | null | null |
58ae66102d2264322158e784763871dbfc895cb5
|
TheStack--python--010.parquet
|
Complete this Pythoncode:Python code: from .plugin import ( AutoReplyRule, AutoReplyOptions, AutoReplyPlugin ) __all__ = [
|
'AutoReplyOptions', 'AutoReplyPlugin', 'AutoReplyRule' ]
|
beginner
|
general
|
code_completion
|
Pythoncode:Python
| 0
| 0
| 167
| true
|
[{"role": "user", "content": "Complete this Pythoncode:Python code:\nfrom .plugin import (\n AutoReplyRule,\n AutoReplyOptions,\n AutoReplyPlugin\n)\n\n__all__ = ["}, {"role": "assistant", "content": "\n 'AutoReplyOptions',\n 'AutoReplyPlugin',\n 'AutoReplyRule'\n]"}]
| false
| null | null | null |
58b012b54fa3712399d46e54d4b09d6941b2d17a
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: import sabre as env import math from network import Zero from tracepool import tracepool
|
Error Analysis: Error Type: HARD_CUT Error: SyntaxError / EOF Detected Errors: • Code truncated in middle of expression - unexpected EOF Fix: Complete the truncated code structure
|
intermediate
|
general
|
error_detection
|
Pythoncode:Python
| 0
| 0
| 88
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\nimport sabre as env\nimport math\nfrom network import Zero\nfrom tracepool import tracepool"}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: HARD_CUT\n Error: SyntaxError / EOF\n\n Detected Errors:\n \u2022 Code truncated in middle of expression - unexpected EOF\n\n Fix: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
58b100dc5b3d3b493d7313a53326f9e3f58e164c
|
TheStack--python--010.parquet
|
Fill in the in this Pythoncode:Python code: #!/usr/bin/python # coding:utf-8 import urllib import re def getHtmlContent(url): page = urllib.urlopen(url) return page.read() def getBlock(html): re_block = r"<dt class=\"ptitle\"><br><a(.*?)</div>\n</div>\n</dd>" re_title = r'html">(.*?)</a></dt>' re_paper = r'</dd>\n<dd>\n\[<a href="(.*?)">pdf</a>\]' re_supp = r'>pdf</a>]\n\[<a href="(.*?)">supp</a>\]' block = re.compile(re_block, re.S) blocks = re.findall(block, html) msg = [] for temp in blocks: title = re.findall(re.compile(re_title, re.S), temp)[0].replace('/', ' ') # Complete this line title = title.replace(',', '') paper = 'http://openaccess.thecvf.com/'+re.findall(re.compile(re_paper, re.S), temp)[0] if re.findall(re.compile(re_supp, re.S), temp): supp = 'http://openaccess.thecvf.com/'+re.findall(re.compile(re_supp, re.S), temp)[0] else: supp = '' sub_msg=[] sub_msg.append(title) sub_msg.append(paper) sub_msg.append(supp) msg.append(sub_msg) return msg def download(url, fileName): urllib.urlretrieve(url, fileName) def batchDownload(blocks, path): count = 1 for block in blocks: download(block[1], ''.join([path, '{0}.pdf'.format(block[0])])) if block[2]: download(block[2], ''.join([path, '{0}.pdf'.format(block[0]+'(supp)')])) print 'downloading No.'+str(count)+'/'+str(len(blocks)) count = count + 1 url = 'http://openaccess.thecvf.com/ECCV2018.py' html = getHtmlContent(url) blocks = getBlock(html) batchDownload(blocks, './')
|
The missing line is: title = title.replace(':', '')
|
intermediate
|
api
|
fill_in_the_blank
|
Pythoncode:Python
| 4
| 0
| 1,634
| true
|
[{"role": "user", "content": "Fill in the in this Pythoncode:Python code:\n#!/usr/bin/python\n# coding:utf-8\n\nimport urllib\nimport re\n\ndef getHtmlContent(url):\n page = urllib.urlopen(url)\n return page.read()\n\ndef getBlock(html):\n re_block = r\"<dt class=\\\"ptitle\\\"><br><a(.*?)</div>\\n</div>\\n</dd>\"\n re_title = r'html\">(.*?)</a></dt>'\n re_paper = r'</dd>\\n<dd>\\n\\[<a href=\"(.*?)\">pdf</a>\\]'\n re_supp = r'>pdf</a>]\\n\\[<a href=\"(.*?)\">supp</a>\\]'\n block = re.compile(re_block, re.S)\n blocks = re.findall(block, html)\n msg = []\n for temp in blocks:\n title = re.findall(re.compile(re_title, re.S), temp)[0].replace('/', ' ')\n # Complete this line\n title = title.replace(',', '')\n paper = 'http://openaccess.thecvf.com/'+re.findall(re.compile(re_paper, re.S), temp)[0]\n if re.findall(re.compile(re_supp, re.S), temp):\n supp = 'http://openaccess.thecvf.com/'+re.findall(re.compile(re_supp, re.S), temp)[0]\n else:\n supp = ''\n sub_msg=[]\n sub_msg.append(title)\n sub_msg.append(paper)\n sub_msg.append(supp)\n msg.append(sub_msg)\n return msg\n\ndef download(url, fileName):\n urllib.urlretrieve(url, fileName)\n\ndef batchDownload(blocks, path):\n count = 1\n for block in blocks:\n download(block[1], ''.join([path, '{0}.pdf'.format(block[0])]))\n if block[2]:\n download(block[2], ''.join([path, '{0}.pdf'.format(block[0]+'(supp)')]))\n print 'downloading No.'+str(count)+'/'+str(len(blocks))\n count = count + 1\n\nurl = 'http://openaccess.thecvf.com/ECCV2018.py'\nhtml = getHtmlContent(url)\nblocks = getBlock(html)\nbatchDownload(blocks, './')"}, {"role": "assistant", "content": "The missing line is:\n title = title.replace(':', '')"}]
| false
| null | null | null |
58b3f8ef49f2ed4fd79a7d02b045ab7870b64e30
|
TheStack--python--010.parquet
|
Fill in the in this Pythoncode:Python code: # -*- coding: utf-8 -*- class _Helper(object): """Class responsible to create the manual page for an script. How to use: Import the file and create an instance of the class, after, you'll need to call the method within the class to creat the manual's sections. Follow the followin order to create the sections: Section NAME (_Helper.add_section_name) Section SYNTAX (_Helper.add_section_syntax) Section DESCRIPTION (_Helper.add_section_description) The method _Helper.add_arguments when called for the first time, creats the section PARAMETER, and adds the parameter description. """ def __init__(self): """Constructor Class. Keyword arguments: name => Section NAME (Contains the script name) syntax => Section SYNTAX (Show how to script syntax) description => Section DESCRIPTION (More detail for the script) arguments => Section ARGUMENTS (Sections with the script arguments) others => Section OTHERS (If you need to create more sections) """ self.name = '' self.syntax = '' self.description = '' self.arguments = '' self.others = '' def add_section_name(self, text): """Add the string for the section NAME (In portuguese). Keyword arguments: # Complete this line """ self.add_section("NOME", text) def add_section_syntax(self, text): """Add the string for the section SYNTAX (In portuguese). Keyword arguments: text -- the string that will be shown (string - required) """ self.add_section("SINTAXE", text) def add_section_description(self, text): """Add the string for the section DESCRIOPTION (In portuguese). Keyword arguments: text -- the string that will be shown (string - required) """ self.add_section("DESCRIÇÃO", text) def add_section(self, name, text): """Add a new section based on the parameter given. Keyword arguments: name -- section title (string - required) text -- section description that will be shown (string - required) """ name = to_encode(name.upper()) text = to_encode(text) if name == "NOME": self.name = ( self.color(name, "BOLD") + '\n\t' + text + '\n\n') elif name == "SINTAXE": self.syntax = ( self.color(name, "BOLD") + '\n\t' + text + '\n\n') elif name == "DESCRIÇÃO": self.description = ( self.color(name, "BOLD") + '\n\t' + text + '\n\n') else: name = to_encode(name) text = to_encode(text) self.others = self.others + ( self.color(name, "BOLD") + '\n\t' + text + '\n\n') ... [3 more functiondefs truncated] ...
|
The missing line is: text -- the string that will be shown (string - required)
|
advanced
|
ui
|
fill_in_the_blank
|
Pythoncode:Python
| 5
| 1
| 2,961
| false
|
[{"role": "user", "content": "Fill in the in this Pythoncode:Python code:\n# -*- coding: utf-8 -*-\nclass _Helper(object):\n \"\"\"Class responsible to create the manual page for an script.\n\n How to use:\n Import the file and create an instance of the class, after, you'll need to\n call the method within the class to creat the manual's sections. Follow the\n followin order to create the sections:\n Section NAME (_Helper.add_section_name)\n Section SYNTAX (_Helper.add_section_syntax)\n Section DESCRIPTION (_Helper.add_section_description)\n The method _Helper.add_arguments when called for the first time, creats the\n section PARAMETER, and adds the parameter description.\n \"\"\"\n\n def __init__(self):\n \"\"\"Constructor Class.\n\n Keyword arguments:\n name => Section NAME (Contains the script name)\n syntax => Section SYNTAX (Show how to script syntax)\n description => Section DESCRIPTION (More detail for the script)\n arguments => Section ARGUMENTS (Sections with the script arguments)\n others => Section OTHERS (If you need to create more sections)\n \"\"\"\n self.name = ''\n self.syntax = ''\n self.description = ''\n self.arguments = ''\n self.others = ''\n\n def add_section_name(self, text):\n \"\"\"Add the string for the section NAME (In portuguese).\n\n Keyword arguments:\n # Complete this line\n \"\"\"\n self.add_section(\"NOME\", text)\n\n def add_section_syntax(self, text):\n \"\"\"Add the string for the section SYNTAX (In portuguese).\n\n Keyword arguments:\n text -- the string that will be shown (string - required)\n \"\"\"\n self.add_section(\"SINTAXE\", text)\n\n def add_section_description(self, text):\n \"\"\"Add the string for the section DESCRIOPTION (In portuguese).\n\n Keyword arguments:\n text -- the string that will be shown (string - required)\n \"\"\"\n self.add_section(\"DESCRI\u00c7\u00c3O\", text)\n\n def add_section(self, name, text):\n \"\"\"Add a new section based on the parameter given.\n\n Keyword arguments:\n name -- section title (string - required)\n text -- section description that will be shown (string - required)\n \"\"\"\n name = to_encode(name.upper())\n text = to_encode(text)\n if name == \"NOME\":\n self.name = (\n self.color(name, \"BOLD\") + '\\n\\t' + text + '\\n\\n')\n elif name == \"SINTAXE\":\n self.syntax = (\n self.color(name, \"BOLD\") + '\\n\\t' + text + '\\n\\n')\n elif name == \"DESCRI\u00c7\u00c3O\":\n self.description = (\n self.color(name, \"BOLD\") + '\\n\\t' + text + '\\n\\n')\n else:\n name = to_encode(name)\n text = to_encode(text)\n self.others = self.others + (\n self.color(name, \"BOLD\") + '\\n\\t' + text + '\\n\\n')\n\n\n ... [3 more functiondefs truncated] ..."}, {"role": "assistant", "content": "The missing line is:\n text -- the string that will be shown (string - required)"}]
| false
| null | null | null |
58b553f119d3ac396da097444aeea1844395d157
|
TheStack--python--010.parquet
|
Debug this Pythoncode:Python code: from app import create_app, db from flask_script import Manager, Server from flask_migrate import Migrate, MigrateCommand from models.category import Category from models.user import User from models.category import Category # Creating app instance app = create_app(('production')) # app = create_app(('development')) @app.before_first_request def create_tables(): db.create_all() manager = Manager(app) migrate = Migrate(app, db) def datetimeformat(value, format): if format == 'long': format='%B %d, %Y' elif format == 'short': format='%b %Y' return value.strftime(format) app.jinja_env.filters['datetimeformat'] = datetimeformat @manager.command def test(): ''' Run the unit tests. ''' import unittest tests = unittest.TestLoader().discover('tests') unittest.TextTestRunner(verbosity=2).run(tests) @manager.shell def make_shell_context(): ''' Function that allows us to pass properties into the shell context. ''' return dict(app=app, db=db, User=User, Category=Category) if __name__ == '__main__': manager.run()
|
Code analysis results: 🔴 Errors found: Unterminated string literal at line 30 ⚠️ Warnings: Unexpected indentation at line 23 Unexpected indentation at line 25 Unexpected indentation at line 31 Unexpected indentation at line 32 💡 Suggestions: Add closing quote at line 30
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intermediate
|
testing
|
debugging
|
Pythoncode:Python
| 4
| 0
| 1,100
| true
|
[{"role": "user", "content": "Debug this Pythoncode:Python code:\nfrom app import create_app, db\nfrom flask_script import Manager, Server\nfrom flask_migrate import Migrate, MigrateCommand\nfrom models.category import Category\nfrom models.user import User\nfrom models.category import Category\n\n\n# Creating app instance\napp = create_app(('production'))\n# app = create_app(('development'))\n\n@app.before_first_request\ndef create_tables():\n db.create_all()\n\nmanager = Manager(app)\nmigrate = Migrate(app, db)\n\ndef datetimeformat(value, format):\n if format == 'long':\n format='%B %d, %Y'\n elif format == 'short':\n format='%b %Y'\n return value.strftime(format)\napp.jinja_env.filters['datetimeformat'] = datetimeformat\n\n@manager.command\ndef test():\n '''\n Run the unit tests.\n '''\n import unittest\n tests = unittest.TestLoader().discover('tests')\n unittest.TextTestRunner(verbosity=2).run(tests)\n\n\n@manager.shell\ndef make_shell_context():\n '''\n Function that allows us to pass properties into the shell context.\n '''\n return dict(app=app, db=db, User=User, Category=Category)\n\nif __name__ == '__main__':\n manager.run()"}, {"role": "assistant", "content": " Code analysis results:\n\n\n\ud83d\udd34 Errors found:\n Unterminated string literal at line 30\n\n\u26a0\ufe0f Warnings:\n Unexpected indentation at line 23\n Unexpected indentation at line 25\n Unexpected indentation at line 31\n Unexpected indentation at line 32\n\n\ud83d\udca1 Suggestions:\n Add closing quote at line 30"}]
| false
| null | null | null |
58b616ee78d188c912a1dc9f36fbe51af50bbc4b
|
TheStack--python--010.parquet
|
Review this Pythoncode:Python code: import os import glob import time import RPi.GPIO as io import thread from ISStreamer.Streamer import Streamer # --------- User Settings --------- BUCKET_NAME = ":computer: Sensors" BUCKET_KEY = "piot_sensor_stream082315" ACCESS_KEY = "PUT_YOUR_ACCESS_KEY_HERE" TEMPERATURE_TOO_HIGH_F = 85 TEMPERATURE_TOO_LOW_F = 50 # --------------------------------- io.setmode(io.BCM) door_pin = 23 io.setup(door_pin, io.IN, pull_up_down=io.PUD_UP) os.system('modprobe w1-gpio') os.system('modprobe w1-therm') base_dir = '/sys/bus/w1/devices/' device_folder = glob.glob(base_dir + '28*')[0] device_file = device_folder + '/w1_slave' def read_temp_raw(): f = open(device_file, 'r') lines = f.readlines() f.close() return lines def read_temp(): lines = read_temp_raw() while lines[0].strip()[-3:] != 'YES': time.sleep(0.2) lines = read_temp_raw() equals_pos = lines[1].find('t=') if equals_pos != -1: temp_string = lines[1][equals_pos+2:] temp_c = float(temp_string) / 1000.0 return temp_c def stream_temp(streamer): while True: temp_c = read_temp() temp_f = temp_c * 9.0 / 5.0 + 32.0 if temp_f > TEMPERATURE_TOO_HIGH_F: streamer.log("Status", ":fire:") elif temp_f < TEMPERATURE_TOO_LOW_F: streamer.log("Status", ":snowflake:") else: streamer.log("Status", ":thumbsup:") streamer.log("temperature (C)", temp_c) streamer.log("temperature (F)", temp_f) print "Temperature: " + str(temp_f) + " F" streamer.flush() time.sleep(.5) def main(): streamer = Streamer(bucket_name=BUCKET_NAME, bucket_key=BUCKET_KEY, access_key=ACCESS_KEY) # Start temperature stream thread try: thread.start_new_thread(stream_temp, (streamer, )) except: print "Error: unable to start temperature streamer thread" # Door sensor door_status = 1 while True: ## if the switch is open if (io.input(door_pin) == True and door_status != 0): streamer.log(":door: Door", "Open") print "Door Open" streamer.flush() door_status = 0 ## if the switch is closed if (io.input(door_pin) == False and door_status != 1): streamer.log(":door: Door", "Close") print "Door Closed" streamer.flush() door_status = 1 time.sleep(2) if __name__ == "__main__": main()
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Code Review: ❌ Critical issues: SyntaxError: Missing parentheses in call to 'print'. Did you mean print(...)? at line 57 ⚠️ Code quality: Unexpected indentation at line 29 Unexpected indentation at line 30 Unexpected indentation at line 31 Unexpected indentation at line 36 Unexpected indentation at line 38 Unexpected indentation at line 39 Unexpected indentation at line 40 Unexpected indentation at line 42 Unexpected indentation at line 43 Unexpected indentation at line 48 Unexpected indentation at line 49 Unexpected indentation at line 51 Unexpected indentation at line 53 Unexpected indentation at line 55 Unexpected indentation at line 56 Unexpected indentation at line 57 Unexpected indentation at line 58 Unexpected indentation at line 59 Unexpected indentation at line 63 Unexpected indentation at line 64 Unexpected indentation at line 66 Unexpected indentation at line 70 Unexpected indentation at line 71 Unexpected indentation at line 73 Unexpected indentation at line 75 Unexpected indentation at line 76 Unexpected indentation at line 77 Unexpected indentation at line 78 Unexpected indentation at line 79 Unexpected indentation at line 81 Unexpected indentation at line 82 Unexpected indentation at line 83 Unexpected indentation at line 84 ✨ Improvements: Review code syntax
|
intermediate
|
machine_learning
|
code_review
|
Pythoncode:Python
| 4
| 0
| 2,504
| true
|
[{"role": "user", "content": "Review this Pythoncode:Python code:\nimport os\nimport glob\nimport time\nimport RPi.GPIO as io\nimport thread\nfrom ISStreamer.Streamer import Streamer\n\n# --------- User Settings ---------\nBUCKET_NAME = \":computer: Sensors\"\nBUCKET_KEY = \"piot_sensor_stream082315\"\nACCESS_KEY = \"PUT_YOUR_ACCESS_KEY_HERE\"\nTEMPERATURE_TOO_HIGH_F = 85\nTEMPERATURE_TOO_LOW_F = 50\n# ---------------------------------\n\nio.setmode(io.BCM)\ndoor_pin = 23\nio.setup(door_pin, io.IN, pull_up_down=io.PUD_UP)\n\nos.system('modprobe w1-gpio')\nos.system('modprobe w1-therm')\n\nbase_dir = '/sys/bus/w1/devices/'\ndevice_folder = glob.glob(base_dir + '28*')[0]\ndevice_file = device_folder + '/w1_slave'\n\ndef read_temp_raw():\n f = open(device_file, 'r')\n lines = f.readlines()\n f.close()\n return lines\n\n\ndef read_temp():\n lines = read_temp_raw()\n while lines[0].strip()[-3:] != 'YES':\n time.sleep(0.2)\n lines = read_temp_raw()\n equals_pos = lines[1].find('t=')\n if equals_pos != -1:\n temp_string = lines[1][equals_pos+2:]\n temp_c = float(temp_string) / 1000.0\n return temp_c\n\ndef stream_temp(streamer):\n while True:\n temp_c = read_temp()\n temp_f = temp_c * 9.0 / 5.0 + 32.0\n if temp_f > TEMPERATURE_TOO_HIGH_F:\n streamer.log(\"Status\", \":fire:\")\n elif temp_f < TEMPERATURE_TOO_LOW_F:\n streamer.log(\"Status\", \":snowflake:\")\n else:\n streamer.log(\"Status\", \":thumbsup:\")\n streamer.log(\"temperature (C)\", temp_c)\n streamer.log(\"temperature (F)\", temp_f)\n print \"Temperature: \" + str(temp_f) + \" F\"\n streamer.flush()\n time.sleep(.5)\n\ndef main():\n streamer = Streamer(bucket_name=BUCKET_NAME, bucket_key=BUCKET_KEY, access_key=ACCESS_KEY)\n # Start temperature stream thread\n try:\n thread.start_new_thread(stream_temp, (streamer, ))\n except:\n print \"Error: unable to start temperature streamer thread\"\n\n # Door sensor\n door_status = 1\n while True:\n ## if the switch is open\n if (io.input(door_pin) == True and door_status != 0):\n streamer.log(\":door: Door\", \"Open\") \n print \"Door Open\"\n streamer.flush() \n door_status = 0 \n ## if the switch is closed \n if (io.input(door_pin) == False and door_status != 1):\n streamer.log(\":door: Door\", \"Close\") \n print \"Door Closed\"\n streamer.flush() \n door_status = 1 \n time.sleep(2)\n\nif __name__ == \"__main__\":\n main()"}, {"role": "assistant", "content": " Code Review:\n\n\n\u274c Critical issues:\n SyntaxError: Missing parentheses in call to 'print'. Did you mean print(...)? at line 57\n\n\u26a0\ufe0f Code quality:\n Unexpected indentation at line 29\n Unexpected indentation at line 30\n Unexpected indentation at line 31\n Unexpected indentation at line 36\n Unexpected indentation at line 38\n Unexpected indentation at line 39\n Unexpected indentation at line 40\n Unexpected indentation at line 42\n Unexpected indentation at line 43\n Unexpected indentation at line 48\n Unexpected indentation at line 49\n Unexpected indentation at line 51\n Unexpected indentation at line 53\n Unexpected indentation at line 55\n Unexpected indentation at line 56\n Unexpected indentation at line 57\n Unexpected indentation at line 58\n Unexpected indentation at line 59\n Unexpected indentation at line 63\n Unexpected indentation at line 64\n Unexpected indentation at line 66\n Unexpected indentation at line 70\n Unexpected indentation at line 71\n Unexpected indentation at line 73\n Unexpected indentation at line 75\n Unexpected indentation at line 76\n Unexpected indentation at line 77\n Unexpected indentation at line 78\n Unexpected indentation at line 79\n Unexpected indentation at line 81\n Unexpected indentation at line 82\n Unexpected indentation at line 83\n Unexpected indentation at line 84\n\n\u2728 Improvements:\n Review code syntax"}]
| false
| null | null | null |
58b7faf2a762a7989a7b226362346ae30f213a83
|
TheStack--python--010.parquet
|
Debug this Pythoncode:Python code: import logging from django import http from horizon import views import shlex import subprocess import requests import json import base64 apiBaseUri = 'https://api.access.redhat.com/rs' LOG = logging.getLogger(__name__) class IndexView(views.APIView): template_name = 'redhat_access_plugin_openstack/support/index.html' def get_data(self, request, context, *args, **kwargs): return context def attachments(request): if request.method == 'GET': response = http.HttpResponse(content_type='text/plain') response.write("Horizon Log") response.flush() return response elif request.method == 'POST': requestObj = json.loads(request.body) try: caseNum = requestObj['caseNum'] authToken = requestObj['authToken'] attachment = requestObj['attachment'] LOG.debug("Case Number: %s" % caseNum) LOG.debug("Auth Token: %s" % authToken) LOG.debug("Attachment: %s" % attachment) except: LOG.error("Missing caseNum, authToken, or attachment") return http.HttpResponseBadRequest("Required field missing") try: decoded = base64.b64decode(authToken) user, password = decoded.split(':') except: LOG.error("Could not decode authToken") return http.HttpResponseBadRequest("Could not decode authToken") authToken = 'Basic ' + authToken headers = {'Authorization': authToken} LOG.debug("Headers: %s" % str(headers)) loginUri = apiBaseUri + '/users?ssoUserName=' + user attachUrl = apiBaseUri + '/cases/' + caseNum + '/attachments' loginReq = requests.get(loginUri, headers=headers) LOG.debug("Validate credentials") rc = checkRC(loginReq) if rc.status_code == 200: try: files = {'file': open('/var/log/horizon/horizon.log', 'rb')} except: LOG.error("Could not open Horizon Log") return http.HttpResponseServerError("Couldnt open horizon log") LOG.debug("POST attachment") r = requests.post(attachUrl, files=files, headers=headers) return checkRC(r) else: return rc else: LOG.error("Unsupported Method") return http.HttpResponseNotAllowed(['GET', 'POST']) def checkRC(r): if r.status_code < 400: LOG.debug("Response OK: %s" % str(r.status_code)) return http.HttpResponse() #Auth was bad pass it up, use 409 Conflict? elif r.status_code == 401: LOG.debug("Response 401") response = HttpResponse() response.status_code = 409 return response else: LOG.debug("Response Bad: %s" % str(r.status_code)) return http.HttpResponseServerError(str(r.status_code))
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Code analysis results: 🔴 Errors found: Hardcoded credentials at line 50 - use environment variables ⚠️ Warnings: Unexpected indentation at line 26 Unexpected indentation at line 27 Unexpected indentation at line 28 Unexpected indentation at line 29 💡 Suggestions: Add docstring to class 'IndexView'
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advanced
|
api
|
debugging
|
Pythoncode:Python
| 3
| 1
| 2,881
| true
|
[{"role": "user", "content": "Debug this Pythoncode:Python code:\nimport logging\n\nfrom django import http\nfrom horizon import views\n\nimport shlex\nimport subprocess\nimport requests\nimport json\nimport base64\n\napiBaseUri = 'https://api.access.redhat.com/rs'\nLOG = logging.getLogger(__name__)\n\n\nclass IndexView(views.APIView):\n template_name = 'redhat_access_plugin_openstack/support/index.html'\n\n def get_data(self, request, context, *args, **kwargs):\n return context\n\n\ndef attachments(request):\n if request.method == 'GET':\n response = http.HttpResponse(content_type='text/plain')\n response.write(\"Horizon Log\")\n response.flush()\n return response\n elif request.method == 'POST':\n requestObj = json.loads(request.body)\n\n try:\n caseNum = requestObj['caseNum']\n authToken = requestObj['authToken']\n attachment = requestObj['attachment']\n LOG.debug(\"Case Number: %s\" % caseNum)\n LOG.debug(\"Auth Token: %s\" % authToken)\n LOG.debug(\"Attachment: %s\" % attachment)\n except:\n LOG.error(\"Missing caseNum, authToken, or attachment\")\n return http.HttpResponseBadRequest(\"Required field missing\")\n\n try:\n decoded = base64.b64decode(authToken)\n user, password = decoded.split(':')\n except:\n LOG.error(\"Could not decode authToken\")\n return http.HttpResponseBadRequest(\"Could not decode authToken\")\n\n authToken = 'Basic ' + authToken\n headers = {'Authorization': authToken}\n LOG.debug(\"Headers: %s\" % str(headers))\n\n loginUri = apiBaseUri + '/users?ssoUserName=' + user\n attachUrl = apiBaseUri + '/cases/' + caseNum + '/attachments'\n\n loginReq = requests.get(loginUri, headers=headers)\n LOG.debug(\"Validate credentials\")\n rc = checkRC(loginReq)\n if rc.status_code == 200:\n try:\n files = {'file': open('/var/log/horizon/horizon.log', 'rb')}\n except:\n LOG.error(\"Could not open Horizon Log\")\n return http.HttpResponseServerError(\"Couldnt open horizon log\")\n LOG.debug(\"POST attachment\")\n r = requests.post(attachUrl, files=files, headers=headers)\n return checkRC(r)\n else:\n return rc\n else:\n LOG.error(\"Unsupported Method\")\n return http.HttpResponseNotAllowed(['GET', 'POST'])\n\n\ndef checkRC(r):\n if r.status_code < 400:\n LOG.debug(\"Response OK: %s\" % str(r.status_code))\n return http.HttpResponse()\n #Auth was bad pass it up, use 409 Conflict?\n elif r.status_code == 401:\n LOG.debug(\"Response 401\")\n response = HttpResponse()\n response.status_code = 409\n return response\n else:\n LOG.debug(\"Response Bad: %s\" % str(r.status_code))\n return http.HttpResponseServerError(str(r.status_code))"}, {"role": "assistant", "content": " Code analysis results:\n\n\n\ud83d\udd34 Errors found:\n Hardcoded credentials at line 50 - use environment variables\n\n\u26a0\ufe0f Warnings:\n Unexpected indentation at line 26\n Unexpected indentation at line 27\n Unexpected indentation at line 28\n Unexpected indentation at line 29\n\n\ud83d\udca1 Suggestions:\n Add docstring to class 'IndexView'"}]
| false
| null | null | null |
58b89645832b73f7d6713beb90165f498c4886b6
|
TheStack--python--010.parquet
|
Suggest refactoring for this Pythoncode:Python code: # -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'qt_templates/main_window.ui' # # Created by: PyQt5 UI code generator 5.15.4 # # WARNING: Any manual changes made to this file will be lost when pyuic5 is # run again. Do not edit this file unless you know what you are doing. from PyQt5 import QtCore, QtGui, QtWidgets class Ui_MainWindow(object): ... [2 more functiondefs truncated] ...
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Refactoring suggestions: Extract reusable functions Improve naming conventions Add documentation
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intermediate
|
database
|
refactoring
|
Pythoncode:Python
| 0
| 1
| 428
| true
|
[{"role": "user", "content": "Suggest refactoring for this Pythoncode:Python code:\n# -*- coding: utf-8 -*-\n\n# Form implementation generated from reading ui file 'qt_templates/main_window.ui'\n#\n# Created by: PyQt5 UI code generator 5.15.4\n#\n# WARNING: Any manual changes made to this file will be lost when pyuic5 is\n# run again. Do not edit this file unless you know what you are doing.\n\n\nfrom PyQt5 import QtCore, QtGui, QtWidgets\n\n\nclass Ui_MainWindow(object):\n\n ... [2 more functiondefs truncated] ..."}, {"role": "assistant", "content": "Refactoring suggestions:\n Extract reusable functions\n Improve naming conventions\n Add documentation"}]
| false
| null | null | null |
58b8ce99391d3812c3c82ac89c642182dae7cf2b
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: # -*- coding: utf-8 -*- import ast import itertools import operator from lib2to3.fixer_base import BaseFix from lib2to3.fixer_util import Call as TCA from lib2to3.fixer_util import Comma, Dot, Name, Newline, is_probably_builtin from lib2to3.patcomp import PatternCompiler from lib2to3.pgen2 import token from lib2to3.pygram import python_symbols as syms from lib2to3.pytree import Leaf, Node from lib2to3.refactor import FixerError, RefactoringTool def node_post_order(self): """Return a post-order iterator for the tree.""" for child in self.children[:]: for child2 in child.post_order(): yield child2 yield self def node_pre_order(self): """Return a pre-order iterator for the tree.""" yield self for child in self.children[:]: for child2 in child.pre_order(): yield child2 # We replace the Node's post_order() and pre_order() methods here # The only change is that they use a copy of the children so that we can remove children while iterating without # causing an issue Node.pre_order = node_pre_order Node.post_order = node_post_order def replace_cast(node): i = 1 while node.children[i].type == syms.trailer and no
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Error Analysis: Error Type: HARD_CUT Error: SyntaxError / EOF Detected Errors: • Code truncated in middle of expression - unexpected EOF • Unterminated string literal at line 29 • SyntaxError: expected ':' at line 37 Fix: Complete the truncated code structure
|
advanced
|
ui
|
error_detection
|
Pythoncode:Python
| 7
| 0
| 1,233
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\n# -*- coding: utf-8 -*-\r\nimport ast\r\nimport itertools\r\nimport operator\r\nfrom lib2to3.fixer_base import BaseFix\r\nfrom lib2to3.fixer_util import Call as TCA\r\nfrom lib2to3.fixer_util import Comma, Dot, Name, Newline, is_probably_builtin\r\nfrom lib2to3.patcomp import PatternCompiler\r\nfrom lib2to3.pgen2 import token\r\nfrom lib2to3.pygram import python_symbols as syms\r\nfrom lib2to3.pytree import Leaf, Node\r\nfrom lib2to3.refactor import FixerError, RefactoringTool\r\n\r\ndef node_post_order(self):\r\n \"\"\"Return a post-order iterator for the tree.\"\"\"\r\n for child in self.children[:]:\r\n for child2 in child.post_order():\r\n yield child2\r\n yield self\r\n\r\ndef node_pre_order(self):\r\n \"\"\"Return a pre-order iterator for the tree.\"\"\"\r\n yield self\r\n for child in self.children[:]:\r\n for child2 in child.pre_order():\r\n yield child2\r\n\r\n\r\n# We replace the Node's post_order() and pre_order() methods here\r\n# The only change is that they use a copy of the children so that we can remove children while iterating without\r\n# causing an issue\r\nNode.pre_order = node_pre_order\r\nNode.post_order = node_post_order\r\n\r\ndef replace_cast(node):\r\n i = 1\r\n while node.children[i].type == syms.trailer and no"}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: HARD_CUT\n Error: SyntaxError / EOF\n\n Detected Errors:\n \u2022 Code truncated in middle of expression - unexpected EOF\n \u2022 Unterminated string literal at line 29\n \u2022 SyntaxError: expected ':' at line 37\n\n Fix: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
58b90b65a76afad06fd1140142470e7503737272
|
TheStack--python--010.parquet
|
Fix this broken Pythoncode:Python code: import csv import os from collections import defaultdict from ...exceptions import AlphabetError def write_csv_file(path, header, data, mode='w'): with open(path, mode, newline='', encodin Error: SyntaxError: unterminated string literal
|
Fixed Code: import csv import os from collections import defaultdict from ...exceptions import AlphabetError def write_csv_file(path, header, data, mode='w'): with open(path, mode, newline='', encoding='utf8') as f: writer = csv.DictWriter(f, header, delimiter=',') if mode == 'w': writer.writeheader() for d in data: writer.writerow(d) Explanation: Close the string literal with matching quote
|
intermediate
|
database
|
error_fixing
|
Pythoncode:Python
| 2
| 0
| 194
| true
|
[{"role": "user", "content": "Fix this broken Pythoncode:Python code:\nimport csv\nimport os\nfrom collections import defaultdict\nfrom ...exceptions import AlphabetError\n\n\ndef write_csv_file(path, header, data, mode='w'):\n with open(path, mode, newline='', encodin\n\n Error: SyntaxError: unterminated string literal"}, {"role": "assistant", "content": " Fixed Code:\n\n\nimport csv\nimport os\nfrom collections import defaultdict\nfrom ...exceptions import AlphabetError\n\n\ndef write_csv_file(path, header, data, mode='w'):\n with open(path, mode, newline='', encoding='utf8') as f:\n writer = csv.DictWriter(f, header, delimiter=',')\n if mode == 'w':\n writer.writeheader()\n for d in data:\n writer.writerow(d)\n\n Explanation: Close the string literal with matching quote"}]
| true
|
syntax
|
MID_STRING
|
CRITICAL
|
58b9b96a83715a7000bf6b218b675440f6620463
|
TheStack--python--010.parquet
|
Review this Pythoncode:Python code: import json import urllib.request as urllib2 from bs4 import BeautifulSoup def getWebPage(name): try: from googlesearch import search except ImportError: print("No module named 'google' found") query = "site:ufcstats.com " + name for j in search(query, tld="co.in", num=10, stop=1, pause=2): url = j page = urllib2.urlopen(url) soup = BeautifulSoup(page, 'html.parser') return soup def getStats(name): soup = getWebPage(name) stats = [] name = str(soup.h2.span.string).strip() stats.append(["Name", name]) nick = str(soup.p.string).strip() stats.append(["Nick", nick]) ulList = soup.find_all('ul') for ul in ulList: #accessing each individual ul tag in ulList for li in ul.find_all('li'): #iterating through each li tag in each ul tag if li.i and (str(li.i.string).strip() != ""): #Since and short circuits wont run into error of prevLi.i not existing and trying to get a string from it. statName = str(li.i.string).strip() statNum = str(li.contents[2]).strip() #If there is a statName inside the i tag there is always an associated statNum outside the i tag but in the li tag stats.append([statName,statNum]) statDictionary = {stat[0]: stat[1] for stat in stats} #creating python dictionary from list of data jsonStats = json.dumps(statDictionary, indent=4) #create json object from python dictionary return jsonStats # soup = getWebPage("Jon Jones") # stats = getStats(soup) # print(stats)
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Code Review: ⚠️ Code quality: Unexpected indentation at line 8 Unexpected indentation at line 17 Unexpected indentation at line 18 Unexpected indentation at line 26 Unexpected indentation at line 27 Unexpected indentation at line 28 Unexpected indentation at line 33 Unexpected indentation at line 34 Unexpected indentation at line 35 Unexpected indentation at line 36 Unexpected indentation at line 37 Unexpected indentation at line 40 Unexpected indentation at line 41 ✨ Improvements: Add docstring to function 'getWebPage' Add docstring to function 'getStats' Remove debug print() at line 9 before production Line 34 too long (165 chars) - break into multiple lines Line 36 too long (168 chars) - break into multiple lines
|
intermediate
|
api
|
code_review
|
Pythoncode:Python
| 2
| 0
| 1,575
| true
|
[{"role": "user", "content": "Review this Pythoncode:Python code:\nimport json\nimport urllib.request as urllib2\nfrom bs4 import BeautifulSoup\n\ndef getWebPage(name):\n try: \n from googlesearch import search \n except ImportError: \n print(\"No module named 'google' found\") \n\n query = \"site:ufcstats.com \" + name\n\n for j in search(query, tld=\"co.in\", num=10, stop=1, pause=2): \n url = j\n\n page = urllib2.urlopen(url)\n soup = BeautifulSoup(page, 'html.parser')\n return soup\n\ndef getStats(name):\n soup = getWebPage(name)\n\n stats = []\n\n name = str(soup.h2.span.string).strip()\n stats.append([\"Name\", name])\n nick = str(soup.p.string).strip()\n stats.append([\"Nick\", nick])\n\n ulList = soup.find_all('ul')\n\n for ul in ulList: #accessing each individual ul tag in ulList\n for li in ul.find_all('li'): #iterating through each li tag in each ul tag\n if li.i and (str(li.i.string).strip() != \"\"): #Since and short circuits wont run into error of prevLi.i not existing and trying to get a string from it. \n statName = str(li.i.string).strip() \n statNum = str(li.contents[2]).strip() #If there is a statName inside the i tag there is always an associated statNum outside the i tag but in the li tag\n stats.append([statName,statNum])\n\n statDictionary = {stat[0]: stat[1] for stat in stats} #creating python dictionary from list of data\n jsonStats = json.dumps(statDictionary, indent=4) #create json object from python dictionary\n return jsonStats\n\n\n# soup = getWebPage(\"Jon Jones\")\n# stats = getStats(soup)\n# print(stats)"}, {"role": "assistant", "content": " Code Review:\n\n\n\u26a0\ufe0f Code quality:\n Unexpected indentation at line 8\n Unexpected indentation at line 17\n Unexpected indentation at line 18\n Unexpected indentation at line 26\n Unexpected indentation at line 27\n Unexpected indentation at line 28\n Unexpected indentation at line 33\n Unexpected indentation at line 34\n Unexpected indentation at line 35\n Unexpected indentation at line 36\n Unexpected indentation at line 37\n Unexpected indentation at line 40\n Unexpected indentation at line 41\n\n\u2728 Improvements:\n Add docstring to function 'getWebPage'\n Add docstring to function 'getStats'\n Remove debug print() at line 9 before production\n Line 34 too long (165 chars) - break into multiple lines\n Line 36 too long (168 chars) - break into multiple lines"}]
| false
| null | null | null |
58ba1c18eccb4049939cc1ea0679293a754471f2
|
TheStack--python--010.parquet
|
Complete this Pythoncode:Python code: import time import random import numpy as np import matplotlib.pyplot as plt from utils import load_energy from sklearn import linear_model from sklearn.cross_validation import ShuffleSplit from sklearn.cross_validation import train_test_split as tts from sklearn.metrics import mean_squared_error # , r2_score def visualize_error_ridge_alpha(n_alphas=200, n_folds=12): dataset = load_energy() alphas = np.logspace(-10, -2, n_alphas) model = linear_model.Ridge(fit_intercept=False) seed = random.randint(1, 10000) X = dataset.data y = dataset.target('Y1') errors = np.zeros(shape=(n_alphas, n_folds)) for idx, alpha in enumerate(alphas): model.set_params(alpha=alpha) splits = ShuffleSplit(len(y), n_iter=n_folds, test_size=0.2, random_state=seed) for jdx, (train, test) in enumerate(splits): X_train = X[train] y_train = y[train] X_test = X[test] y_test = y[test] model.fit(X_train, y_train) error = mean_squared_error(y_test, model.predict(X_test)) errors[idx, jdx] = error print errors print errors.shape print alphas print alphas.shape plt.figure() plt.plot(alphas, errors, ':') plt.show()
|
def visualize_error_lasso_alpha(): dataset = load_energy() start = time.time() model = linear_model.LassoCV(cv=20) model.fit(dataset.data, dataset.target('Y1')) delta = time.time() - start m_log_alphas = -np.log10(model.alphas_) plt.figure() plt.plot(m_log_alphas, model.mse_path_, ':') plt.plot(m_log_alphas, model.mse_path_.mean(axis=-1), 'k', label='Average across the folds', linewidth=2) plt.axvline(-np.log10(model.alpha_), linestyle='--', color='k', label='alpha: CV estimate') plt.legend() plt.xlabel('-log(alpha)') plt.ylabel('Mean square error') plt.title('Mean square error on each fold: coordinate descent ' '(train time: %.2fs)' % delta) plt.axis('tight') plt.show() if __name__ == '__main__': visualize_error_ridge_alpha()
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intermediate
|
testing
|
code_completion
|
Pythoncode:Python
| 2
| 0
| 2,181
| true
|
[{"role": "user", "content": "Complete this Pythoncode:Python code:\nimport time\nimport random\nimport numpy as np\nimport matplotlib.pyplot as plt\n\nfrom utils import load_energy\nfrom sklearn import linear_model\nfrom sklearn.cross_validation import ShuffleSplit\nfrom sklearn.cross_validation import train_test_split as tts\nfrom sklearn.metrics import mean_squared_error # , r2_score\n\n\ndef visualize_error_ridge_alpha(n_alphas=200, n_folds=12):\n dataset = load_energy()\n alphas = np.logspace(-10, -2, n_alphas)\n model = linear_model.Ridge(fit_intercept=False)\n seed = random.randint(1, 10000)\n X = dataset.data\n y = dataset.target('Y1')\n\n errors = np.zeros(shape=(n_alphas, n_folds))\n for idx, alpha in enumerate(alphas):\n model.set_params(alpha=alpha)\n splits = ShuffleSplit(len(y), n_iter=n_folds, test_size=0.2,\n random_state=seed)\n\n for jdx, (train, test) in enumerate(splits):\n X_train = X[train]\n y_train = y[train]\n X_test = X[test]\n y_test = y[test]\n\n model.fit(X_train, y_train)\n error = mean_squared_error(y_test, model.predict(X_test))\n\n errors[idx, jdx] = error\n\n print errors\n print errors.shape\n print alphas\n print alphas.shape\n\n plt.figure()\n plt.plot(alphas, errors, ':')\n\n plt.show()"}, {"role": "assistant", "content": "\n\n\ndef visualize_error_lasso_alpha():\n dataset = load_energy()\n\n start = time.time()\n model = linear_model.LassoCV(cv=20)\n model.fit(dataset.data, dataset.target('Y1'))\n delta = time.time() - start\n\n m_log_alphas = -np.log10(model.alphas_)\n\n plt.figure()\n plt.plot(m_log_alphas, model.mse_path_, ':')\n plt.plot(m_log_alphas, model.mse_path_.mean(axis=-1), 'k',\n label='Average across the folds', linewidth=2)\n plt.axvline(-np.log10(model.alpha_), linestyle='--', color='k',\n label='alpha: CV estimate')\n\n plt.legend()\n\n plt.xlabel('-log(alpha)')\n plt.ylabel('Mean square error')\n plt.title('Mean square error on each fold: coordinate descent '\n '(train time: %.2fs)' % delta)\n plt.axis('tight')\n\n plt.show()\n\nif __name__ == '__main__':\n visualize_error_ridge_alpha()"}]
| false
| null | null | null |
58bb005ecbed94d707dd338409368909e070c7f3
|
TheStack--python--010.parquet
|
Complete this incomplete Pythoncode:Python code: #!/usr/bin/env python # -*- coding: utf-8 -*- class Primitive: """ Holds a library primitive with limit information. """ def __init__(self, name, prim_type, block_len = 0, digest_len = 0): self.name = name self.prim_type = prim_type self.block_len = block_len self.digest_len = digest_len """ The list of primitives, should be kept updated when new ones are added! """ primitives = [ Primitive('rc4', 'STREAM' ), Primitive('md5', 'HASH', block_len = 64, digest_len = 16), Primitive('sha1', 'HASH', block_len = 64, digest_len = 20), Primitive('sha256', 'HASH', block_len = 64, digest_len = 32), Primitive('skein256', 'HASH', block_len = 32, digest_len = 32), Primitive('aes', 'BLOCK', block_len = 16 ), Primitive('threefish256', 'BLOCK', block_len = 32 ), Primitive('nullcipher', 'BLOCK', block_len = 16 ), Primitive('ecb', 'BLOCK_MODE' ), Primitive('cbc', 'BLOCK_MODE' ), Primitive('cfb', 'BLOCK_MODE' ), Primitive('ofb', 'BLOCK_MODE' ), Primitive('ctr', 'BLOCK_MODE' ), ] def extract_opaque_struct(fd): """ Extracts a list of opaque structures from a file. """ source = fd.readlines() structs = [] while len(source) != 0: line = source[0] if line == '#ifdef OPAQUE\n': end = source.index("#endif\n") structs.append("\n") ... code continues ...
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Completion: Missing: Code truncated abruptly - unexpected end of file To complete: • Complete the truncated code structure Example continuation: structs += source[1:end] del source[:end + 1] else: del source[0]
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advanced
|
database
|
incomplete_code
|
Pythoncode:Python
| 3
| 1
| 1,891
| false
|
[{"role": "user", "content": "Complete this incomplete Pythoncode:Python code:\n#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\nclass Primitive:\n \"\"\" Holds a library primitive with limit information. \"\"\"\n def __init__(self, name, prim_type, block_len = 0, digest_len = 0):\n self.name = name\n self.prim_type = prim_type\n self.block_len = block_len\n self.digest_len = digest_len\n\n\"\"\" The list of primitives, should be kept updated when new ones are added! \"\"\"\nprimitives = [\n Primitive('rc4', 'STREAM' ),\n Primitive('md5', 'HASH', block_len = 64, digest_len = 16),\n Primitive('sha1', 'HASH', block_len = 64, digest_len = 20),\n Primitive('sha256', 'HASH', block_len = 64, digest_len = 32),\n Primitive('skein256', 'HASH', block_len = 32, digest_len = 32),\n Primitive('aes', 'BLOCK', block_len = 16 ),\n Primitive('threefish256', 'BLOCK', block_len = 32 ),\n Primitive('nullcipher', 'BLOCK', block_len = 16 ),\n Primitive('ecb', 'BLOCK_MODE' ),\n Primitive('cbc', 'BLOCK_MODE' ),\n Primitive('cfb', 'BLOCK_MODE' ),\n Primitive('ofb', 'BLOCK_MODE' ),\n Primitive('ctr', 'BLOCK_MODE' ),\n]\n\ndef extract_opaque_struct(fd):\n \"\"\" Extracts a list of opaque structures from a file. \"\"\"\n source = fd.readlines()\n structs = []\n\n while len(source) != 0:\n line = source[0]\n if line == '#ifdef OPAQUE\\n':\n end = source.index(\"#endif\\n\")\n structs.append(\"\\n\")\n\n ... code continues ..."}, {"role": "assistant", "content": " Completion:\n\n Missing: Code truncated abruptly - unexpected end of file\n\n To complete:\n \u2022 Complete the truncated code structure\n\n Example continuation:\n structs += source[1:end]\n del source[:end + 1]\n else:\n del source[0]"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
58bc216a89db661e4c494927c26498c2553d46bd
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: import os.path import argparse import yaml import copy from pprint import pprint def data_merge(a, b): output = {} for item, value in a.iteritems(): if b.has_key(item): if isinstance(b[item], dict): output[item] = data_merge(value, b.pop(item)) else: output[item] = copy.deepcopy(value) for item, value in b.iteritems(): output[item] = copy.deepcopy(value) return output def main(): parser = argparse.ArgumentParser(description='Write dpxdt-test configuration-files.') parser.add_argument('file',help='file with dpxdt-presets',action='store') args = parser.parse_args() yaml_file = open(args.file, "r") configuration = yaml.load(yaml_file)
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Error Analysis: Error Type: HARD_CUT Error: SyntaxError / EOF Detected Errors: • Block at line 20 has no indented body Fix: Complete the truncated code structure
|
intermediate
|
testing
|
error_detection
|
Pythoncode:Python
| 2
| 0
| 696
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\nimport os.path\nimport argparse\nimport yaml\nimport copy\n\nfrom pprint import pprint\n\ndef data_merge(a, b):\n output = {}\n for item, value in a.iteritems():\n if b.has_key(item):\n if isinstance(b[item], dict):\n output[item] = data_merge(value, b.pop(item))\n else:\n output[item] = copy.deepcopy(value)\n for item, value in b.iteritems():\n output[item] = copy.deepcopy(value)\n return output\n\ndef main():\n\n parser = argparse.ArgumentParser(description='Write dpxdt-test configuration-files.')\n parser.add_argument('file',help='file with dpxdt-presets',action='store')\n\n args = parser.parse_args()\n\n yaml_file = open(args.file, \"r\")\n configuration = yaml.load(yaml_file)"}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: HARD_CUT\n Error: SyntaxError / EOF\n\n Detected Errors:\n \u2022 Block at line 20 has no indented body\n\n Fix: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
58bc4556866972a6f0f973d7d931518fdbbbf642
|
TheStack--python--010.parquet
|
Repair the syntax errors in this Pythoncode:Python code: """Generic utilities for machine learning. """ import code impor import tensorflow as tf from ccn.cfg import get_config; CFG = get_config() def shuffle_together(*tensors): idxs = tf.range(tensors[0].shape[0]) out = [] for tensor in tensors: out.append(tf.gather(tensor, idxs)) return tuple(out) def update_data_dict(data_dict, batch_dict): for name in batch_dict.keys(): if name not in data_dict: data_dict[name] = batch_dict[name] else: data_dict[name] += batch_dict[name] return data_dict def normalize_data_dict(data_dict, num_batches): for name, value in data_dict.items(): data_dict[name] = (value / num_batches).numpy().item() return data_dict def gaussian_k(height, width, y, x, sigma, normalized=True): """Make a square gaussian kernel centered at (x, y) with sigma as standard deviation. Returns: A 2D array of size [height, width] with a Gaussian kernel centered at (x, y) """ # cast arguments used in calculations x = tf.cast(x, tf.float32) y = tf.cast(y, tf.float32) sigma = tf.cast(sigma, tf.float32) # create indices xs = tf.range(0, width, delta=1., dtype=tf.float32) ys = tf.range(0, height, delta=1., dtype=tf.float32) ys = tf.expand_dims(ys, 1) # apply gaussian function to indices based on distance from x, y gaussian = tf.math.exp(-((xs - x)**2 + (ys - y)**2) / (2 * (sigma**2))) if normalized: gaussian = gaussian / tf.math.reduce_sum(gaussian) # all values will sum to 1 return gaussian # ============================== REGULARIZATION ============================== dense_regularization = { 'kernel_regularizer': tf.keras.regularizers.l2(1e-4), 'bias_regularizer': tf.keras.regularizers.l2(1e-4), 'activity_regularizer': tf.keras.regularizers.l2(1e-6) } # some notes on regularizing CNNs: https://cs231n.github.io/neural-networks-2/#reg cnn_regularization = { 'kernel_regularizer': tf.keras.regularizers.l2(1e-4), 'bias_regularizer': tf.keras.regularizers.l2(1e-4), }
|
Syntax Analysis: Syntax Errors Found: • Unterminated string literal at line 1 Fixes: • Add closing quote at line 1 • Add docstring to function 'shuffle_together'
|
intermediate
|
api
|
syntax_repair
|
Pythoncode:Python
| 4
| 0
| 2,002
| true
|
[{"role": "user", "content": "Repair the syntax errors in this Pythoncode:Python code:\n\"\"\"Generic utilities for machine learning.\n\"\"\"\n\nimport code\nimpor\n\nimport tensorflow as tf\n\nfrom ccn.cfg import get_config; CFG = get_config()\n\n\ndef shuffle_together(*tensors):\n idxs = tf.range(tensors[0].shape[0])\n out = []\n for tensor in tensors:\n out.append(tf.gather(tensor, idxs))\n return tuple(out)\n\n\ndef update_data_dict(data_dict, batch_dict):\n for name in batch_dict.keys():\n if name not in data_dict:\n data_dict[name] = batch_dict[name]\n else:\n data_dict[name] += batch_dict[name]\n return data_dict\n\n\ndef normalize_data_dict(data_dict, num_batches):\n for name, value in data_dict.items():\n data_dict[name] = (value / num_batches).numpy().item()\n return data_dict\n\n\ndef gaussian_k(height, width, y, x, sigma, normalized=True):\n \"\"\"Make a square gaussian kernel centered at (x, y) with sigma as standard deviation.\n Returns:\n A 2D array of size [height, width] with a Gaussian kernel centered at (x, y)\n \"\"\"\n # cast arguments used in calculations\n x = tf.cast(x, tf.float32)\n y = tf.cast(y, tf.float32)\n sigma = tf.cast(sigma, tf.float32)\n # create indices\n xs = tf.range(0, width, delta=1., dtype=tf.float32)\n ys = tf.range(0, height, delta=1., dtype=tf.float32)\n ys = tf.expand_dims(ys, 1)\n # apply gaussian function to indices based on distance from x, y\n gaussian = tf.math.exp(-((xs - x)**2 + (ys - y)**2) / (2 * (sigma**2)))\n if normalized:\n gaussian = gaussian / tf.math.reduce_sum(gaussian) # all values will sum to 1\n return gaussian\n\n\n# ============================== REGULARIZATION ==============================\ndense_regularization = {\n 'kernel_regularizer': tf.keras.regularizers.l2(1e-4),\n 'bias_regularizer': tf.keras.regularizers.l2(1e-4),\n 'activity_regularizer': tf.keras.regularizers.l2(1e-6)\n}\n\n\n# some notes on regularizing CNNs: https://cs231n.github.io/neural-networks-2/#reg\ncnn_regularization = {\n 'kernel_regularizer': tf.keras.regularizers.l2(1e-4),\n 'bias_regularizer': tf.keras.regularizers.l2(1e-4),\n}"}, {"role": "assistant", "content": " Syntax Analysis:\n\n Syntax Errors Found:\n \u2022 Unterminated string literal at line 1\n\n Fixes:\n \u2022 Add closing quote at line 1\n \u2022 Add docstring to function 'shuffle_together'"}]
| true
|
syntax
|
BROKEN_INDENTATION
|
MEDIUM
|
58bc9fa112903a6cebaf500d56e711caad95d98d
|
TheStack--python--010.parquet
|
Debug this Pythoncode:Python code: age = int(input("How old are you: ")) # if age >= 16 and age <= 65: if 16 <= age <= 65: print("Have a good day at work") # age = int(input("How old are you: ")) if (age < 16) or (age > 65): print("Enjoy your free time") else: print("Have a good day at work") # if 16 > age < 65: # print("Enjoy your free time") # else: # print("Have a good day at work") x = "false" if x: print("x is true") x = input("Please enter text") if x: print('You entered "{}'.format(x)) else: print("You didn't enter anything") print(not False) print(not True) age = int(input("How old are you: ")) if not(age < 18): print("You are old enough to vote") print("Please put an 'X' in the box") else: print("Please come back in {0} years.".format(18 - age)) parrot = "Norwegian Blue" letter = input("Enter a character: ") if letter in parrot: print("Give me an {}, Bob.".format(letter)) else: print("I don't need that letter.")
|
Code analysis results: 🔴 Errors found: Unterminated string literal at line 23 Block at line 3 has no indented body Block at line 12 has no indented body Block at line 14 has no indented body ⚠️ Warnings: Unexpected indentation at line 33 💡 Suggestions: Add closing quote at line 23 Remove debug print() at line 5 before production Remove debug print() at line 8 before production
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intermediate
|
database
|
debugging
|
Pythoncode:Python
| 0
| 0
| 961
| false
|
[{"role": "user", "content": "Debug this Pythoncode:Python code:\nage = int(input(\"How old are you: \"))\n\n# if age >= 16 and age <= 65:\nif 16 <= age <= 65:\n print(\"Have a good day at work\")\n# age = int(input(\"How old are you: \"))\nif (age < 16) or (age > 65):\n print(\"Enjoy your free time\")\nelse:\n print(\"Have a good day at work\")\n\n# if 16 > age < 65:\n# print(\"Enjoy your free time\")\n# else:\n# print(\"Have a good day at work\")\n\nx = \"false\"\nif x:\n print(\"x is true\")\n\nx = input(\"Please enter text\")\nif x:\n print('You entered \"{}'.format(x))\nelse:\n print(\"You didn't enter anything\")\n\nprint(not False)\nprint(not True)\n\nage = int(input(\"How old are you: \"))\nif not(age < 18):\n print(\"You are old enough to vote\")\n print(\"Please put an 'X' in the box\")\nelse:\n print(\"Please come back in {0} years.\".format(18 - age))\n\nparrot = \"Norwegian Blue\"\n\nletter = input(\"Enter a character: \")\n\nif letter in parrot:\n print(\"Give me an {}, Bob.\".format(letter))\nelse:\n print(\"I don't need that letter.\")"}, {"role": "assistant", "content": " Code analysis results:\n\n\n\ud83d\udd34 Errors found:\n Unterminated string literal at line 23\n Block at line 3 has no indented body\n Block at line 12 has no indented body\n Block at line 14 has no indented body\n\n\u26a0\ufe0f Warnings:\n Unexpected indentation at line 33\n\n\ud83d\udca1 Suggestions:\n Add closing quote at line 23\n Remove debug print() at line 5 before production\n Remove debug print() at line 8 before production"}]
| false
| null | null | null |
58bf4208731e6f789b9a555689976fa1e08d73d1
|
TheStack--python--010.parquet
|
Suggest refactoring for this Pythoncode:Python code: from payment_gateway.models import PagarmeGateway, PaymentMethod from rest_polymorphic.serializers import PolymorphicSerializer from rest_framework import serializers class PaymentMethodSerializer(serializers.ModelSerializer): class Meta: model = PaymentMethod fields = '__all__' class PagarmeGatewaySerializer(serializers.ModelSerializer): class Meta: model = PagarmeGateway fields = ['id', 'encryption_key'] class PaymentGatewaySerializer(PolymorphicSerializer): model_serializer_mapping = { PagarmeGateway: PagarmeGatewaySerializer, }
|
Refactoring suggestions: Extract reusable functions Improve naming conventions Add documentation
|
advanced
|
machine_learning
|
refactoring
|
Pythoncode:Python
| 0
| 5
| 608
| true
|
[{"role": "user", "content": "Suggest refactoring for this Pythoncode:Python code:\nfrom payment_gateway.models import PagarmeGateway, PaymentMethod\nfrom rest_polymorphic.serializers import PolymorphicSerializer\nfrom rest_framework import serializers\n\nclass PaymentMethodSerializer(serializers.ModelSerializer):\n \n class Meta:\n model = PaymentMethod\n fields = '__all__' \n\nclass PagarmeGatewaySerializer(serializers.ModelSerializer):\n\n class Meta:\n model = PagarmeGateway\n fields = ['id', 'encryption_key']\n\nclass PaymentGatewaySerializer(PolymorphicSerializer):\n \n model_serializer_mapping = {\n PagarmeGateway: PagarmeGatewaySerializer,\n }"}, {"role": "assistant", "content": "Refactoring suggestions:\n Extract reusable functions\n Improve naming conventions\n Add documentation"}]
| false
| null | null | null |
58c103aa2a427eb93fc2bb25fed4d2b38deffa58
|
TheStack--python--010.parquet
|
Complete this incomplete Pythoncode:Python code: def doFilter(pTable): """ remove all cell candidates and corresponding cell pairs that have no CPA candidate """ # get a list of all cell candidates that have at least one candidate in at least one cell pair mappedCands = {} for pair in pTable.getCellPairs(): subjKey = (pair['subj_id'], pair['row_id']) objKey = (pair['obj_id'], pair['row_id']) if subjKey not in mappedCands: mappedCands[subjKey] = set() ... code continues ...
|
Completion: Missing: If block is incomplete - body missing To complete: • Add body to If block or use 'pass' statement Example continuation: if objKey not in mappedCands: mappedCands[objKey] = set() if len(pair['cand']) > 0: mappedCands[subjKey].add(pair['subj_cand']) mappedCands[objKey].add(pair['obj_cand'])
|
intermediate
|
machine_learning
|
incomplete_code
|
Pythoncode:Python
| 1
| 0
| 466
| false
|
[{"role": "user", "content": "Complete this incomplete Pythoncode:Python code:\ndef doFilter(pTable):\n \"\"\"\n remove all cell candidates and corresponding cell pairs that have no CPA candidate\n \"\"\"\n\n # get a list of all cell candidates that have at least one candidate in at least one cell pair\n mappedCands = {}\n for pair in pTable.getCellPairs():\n subjKey = (pair['subj_id'], pair['row_id'])\n objKey = (pair['obj_id'], pair['row_id'])\n if subjKey not in mappedCands:\n mappedCands[subjKey] = set()\n\n ... code continues ..."}, {"role": "assistant", "content": " Completion:\n\n Missing: If block is incomplete - body missing\n\n To complete:\n \u2022 Add body to If block or use 'pass' statement\n\n Example continuation:\n if objKey not in mappedCands:\n mappedCands[objKey] = set()\n if len(pair['cand']) > 0:\n mappedCands[subjKey].add(pair['subj_cand'])\n mappedCands[objKey].add(pair['obj_cand'])"}]
| true
|
syntax
|
MID_BLOCK
|
HIGH
|
58c25aa629cc1dce6498eae7e37351277cea7181
|
TheStack--python--010.parquet
|
Repair the syntax errors in this Pythoncode:Python code: class SDA: """Social distance attachment network mod Attributes ---------- P : (N, N) array_like Edge formation probability matrix. k : float Expected average node degree. b : float Characteristic length scale (positive value). This is the distance value at which edge formation probability equals ``1``. alpha : float Homophily value. It determines rate at which edge formation probability decreases/increases with the distance from the characteristic length scale `b`. Usually it should be set to a positive value. p_rewire : float Defualt probability of random edge rewiring when generating adjacency matrices. This is used to ensure small worldedness. directed : bool Should directed networks be generated by default. degseq : (N,) array_like, optional Default node degree sequence used in the configuration model. """ def __init__(self, P, k, b, alpha, p_rewire=0.01, directed=False): """Initialization method.""" self.P = P self.k = k self.b = b self.alpha = alpha self.p_rewire = p_rewire self.directed = directed self.degseq = None def __repr__(self): nm = self.__class__.__name__ D = 'D' if self.directed else 'U' a = self.alpha p = self.p_rewire return f"<{nm} {D}{self.N} k={self.k} b={self.b:.2} a={a} p={p}>" @property def N(self): return self.P.shape[0] def sort_degseq(self, degseq): """Sort degseq accordingly to centrality of nodes in the social space.""" w = self.P.sum(axis=1) return degseq[np.lexsort((w, w.argsort()[::-1]))] def set_degseq(self, degseq, sort=True): """Set default degree sequence. Parameters ---------- sort : bool Should degree sequence be sorted to align with highest average edge formation probabilities per node. """ degseq = degseq.copy() if sort and degseq is not None: degseq = self.sort_degseq(degseq) self.degseq = degseq @staticmethod def prob_measure(D, b, alpha): """Compute *SDA model* probability measure. Parameters ---------- D : (N, N) array_like Distance matrix. b : float Characteristic length scale (positive value). alpha : Homophily value. """ if b == 0: return np.zeros_like(D, dtype=float) with np.errstate(over='ignore'): P = 1 / (1 + (D/b)**alpha) np.fill_diagonal(P, 0) return P @classmethod ... [7 more functiondefs truncated] ...
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Syntax Analysis: Syntax Errors Found: • Code truncated in middle of expression - unexpected EOF • Unterminated string literal at line 2 • Block at line 1 has no indented body Fixes: • Complete the expression on the last line • Add closing quote at line 2 • Fix indentation to match Python syntax rules
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advanced
|
database
|
syntax_repair
|
Pythoncode:Python
| 6
| 1
| 2,771
| false
|
[{"role": "user", "content": "Repair the syntax errors in this Pythoncode:Python code:\nclass SDA:\n\"\"\"Social distance attachment network mod\n\n Attributes\n ----------\n P : (N, N) array_like\n Edge formation probability matrix.\n k : float\n Expected average node degree.\n b : float\n Characteristic length scale (positive value).\n This is the distance value at which edge formation\n probability equals ``1``.\n alpha : float\n Homophily value. It determines rate at which edge formation\n probability decreases/increases with the distance from the characteristic\n length scale `b`. Usually it should be set to a positive value.\n p_rewire : float\n Defualt probability of random edge rewiring when generating\n adjacency matrices. This is used to ensure small worldedness.\n directed : bool\n Should directed networks be generated by default.\n degseq : (N,) array_like, optional\n Default node degree sequence used in the configuration model.\n \"\"\"\n def __init__(self, P, k, b, alpha, p_rewire=0.01, directed=False):\n \"\"\"Initialization method.\"\"\"\n self.P = P\n self.k = k\n self.b = b\n self.alpha = alpha\n self.p_rewire = p_rewire\n self.directed = directed\n self.degseq = None\n\n def __repr__(self):\n nm = self.__class__.__name__\n D = 'D' if self.directed else 'U'\n a = self.alpha\n p = self.p_rewire\n return f\"<{nm} {D}{self.N} k={self.k} b={self.b:.2} a={a} p={p}>\"\n\n @property\n def N(self):\n return self.P.shape[0]\n\n def sort_degseq(self, degseq):\n \"\"\"Sort degseq accordingly to centrality of nodes in the social space.\"\"\"\n w = self.P.sum(axis=1)\n return degseq[np.lexsort((w, w.argsort()[::-1]))]\n\n def set_degseq(self, degseq, sort=True):\n \"\"\"Set default degree sequence.\n\n Parameters\n ----------\n sort : bool\n Should degree sequence be sorted to align with highest\n average edge formation probabilities per node.\n \"\"\"\n degseq = degseq.copy()\n if sort and degseq is not None:\n degseq = self.sort_degseq(degseq)\n self.degseq = degseq\n\n @staticmethod\n def prob_measure(D, b, alpha):\n \"\"\"Compute *SDA model* probability measure.\n\n Parameters\n ----------\n D : (N, N) array_like\n Distance matrix.\n b : float\n Characteristic length scale (positive value).\n alpha :\n Homophily value.\n \"\"\"\n if b == 0:\n return np.zeros_like(D, dtype=float)\n with np.errstate(over='ignore'):\n P = 1 / (1 + (D/b)**alpha)\n np.fill_diagonal(P, 0)\n return P\n\n @classmethod\n\n ... [7 more functiondefs truncated] ..."}, {"role": "assistant", "content": " Syntax Analysis:\n\n Syntax Errors Found:\n \u2022 Code truncated in middle of expression - unexpected EOF\n \u2022 Unterminated string literal at line 2\n \u2022 Block at line 1 has no indented body\n\n Fixes:\n \u2022 Complete the expression on the last line\n \u2022 Add closing quote at line 2\n \u2022 Fix indentation to match Python syntax rules"}]
| true
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syntax
|
BROKEN_INDENTATION
|
MEDIUM
|
58c2ee9a99a2dd7c73340cc84f61ad8fc21f6d58
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TheStack--python--010.parquet
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Suggest refactoring for this Pythoncode:Python code: import functools import logging import threading from .buffer import ThreadLocalSpanBuffer from .sampler import AllSampler from .span import Span from .writer import AgentWriter class Tracer(object): """ Tracer is used to create, sample and submit spans that measure the execution time of sections of code. If you're running an application that will serve a single trace per thread, you can use the global traced instance: >>> from ddtrace import tracer >>> trace = tracer.trace("app.request", "web-server").finish() """ DEFAULT_HOSTNAME = 'localhost' DEFAULT_PORT = 7777 def __init__(self): """Create a new tracer.""" # Apply the default configuration self.configure( enabled=True, hostname=self.DEFAULT_HOSTNAME, port=self.DEFAULT_PORT, sampler=AllSampler()) # a list of buffered spans. self._spans_lock = threading.Lock() self._spans = [] # track the active span self.span_buffer = ThreadLocalSpanBuffer() # A hook for local debugging. shouldn't be needed or used # in production. self.debug_logging = False # a buffer for service info so we dont' perpetually send the same # things. self._services = {} # globally set tags self.tags = {} def configure(self, enabled=None, hostname=None, port=None, sampler=None): """Configure an existing Tracer the easy way. Allow to configure or reconfigure a Tracer instance. :param bool enabled: If True, finished traces will be submitted to the API. Otherwise they'll be dropped. :param str hostname: Hostname running the Trace Agent :param int port: Port of the Trace Agent :param object sampler: A custom Sampler instance """ if enabled is not None: self.enabled = enabled if hostname is not None or port is not None: self.writer = AgentWriter(hostname or self.DEFAULT_HOSTNAME, port or self.DEFAULT_PORT) if sampler is not None: self.sampler = sampler ... [10 more functiondefs truncated] ...
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Refactoring suggestions: Extract reusable functions Improve naming conventions Add documentation
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advanced
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api
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refactoring
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Pythoncode:Python
| 2
| 1
| 2,232
| true
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[{"role": "user", "content": "Suggest refactoring for this Pythoncode:Python code:\nimport functools\nimport logging\nimport threading\n\nfrom .buffer import ThreadLocalSpanBuffer\nfrom .sampler import AllSampler\nfrom .span import Span\nfrom .writer import AgentWriter\n\n\nclass Tracer(object):\n \"\"\" Tracer is used to create, sample and submit spans that measure the\n execution time of sections of code.\n\n If you're running an application that will serve a single trace per thread,\n you can use the global traced instance:\n\n >>> from ddtrace import tracer\n >>> trace = tracer.trace(\"app.request\", \"web-server\").finish()\n \"\"\"\n\n DEFAULT_HOSTNAME = 'localhost'\n DEFAULT_PORT = 7777\n\n def __init__(self):\n \"\"\"Create a new tracer.\"\"\"\n\n # Apply the default configuration\n self.configure(\n enabled=True,\n hostname=self.DEFAULT_HOSTNAME,\n port=self.DEFAULT_PORT,\n sampler=AllSampler())\n\n # a list of buffered spans.\n self._spans_lock = threading.Lock()\n self._spans = []\n\n # track the active span\n self.span_buffer = ThreadLocalSpanBuffer()\n\n # A hook for local debugging. shouldn't be needed or used\n # in production.\n self.debug_logging = False\n\n # a buffer for service info so we dont' perpetually send the same\n # things.\n self._services = {}\n\n # globally set tags\n self.tags = {}\n\n def configure(self, enabled=None, hostname=None, port=None, sampler=None):\n \"\"\"Configure an existing Tracer the easy way.\n\n Allow to configure or reconfigure a Tracer instance.\n\n :param bool enabled: If True, finished traces will be\n submitted to the API. Otherwise they'll be dropped.\n :param str hostname: Hostname running the Trace Agent\n :param int port: Port of the Trace Agent\n :param object sampler: A custom Sampler instance\n \"\"\"\n if enabled is not None:\n self.enabled = enabled\n\n if hostname is not None or port is not None:\n self.writer = AgentWriter(hostname or self.DEFAULT_HOSTNAME, port or self.DEFAULT_PORT)\n\n if sampler is not None:\n self.sampler = sampler\n\n\n ... [10 more functiondefs truncated] ..."}, {"role": "assistant", "content": "Refactoring suggestions:\n Extract reusable functions\n Improve naming conventions\n Add documentation"}]
| false
| null | null | null |
58c7973a498f834aceda7b3f73850b299d4f9b96
|
TheStack--python--010.parquet
|
Debug this Pythoncode:Python code: #!/usr/bin/env python # vim:ts=4:sts=4:sw=4:et # # Author: Hari Sekhon # Date: 2016-02-02 17:46:18 +0000 (Tue, 02 Feb 2016) # # https://github.com/harisekhon/nagios-plugins # # License: see accompanying Hari Sekhon LICENSE file # # If you're using my code you're welcome to connect with me on LinkedIn and optionally send me feedback # to help improve or steer this or other code I publish # # http://www.linkedin.com/in/harisekhon # class CheckTachyon(NagiosPlugin): def __init__(self): # Python 2.x super(CheckTachyon, self).__init__() # Python 3.x # super().__init__() self.software = 'Tachyon' name = '' default_port = None if re.search('master', prog, re.I): name = 'Master' default_port = 19999 elif re.search('worker|slave', prog, re.I): name = 'Worker' default_port = 30000 self.name = space_prefix(name) self.default_port = default_port def add_options(self): self.add_hostoption(name='%(software)s%(name)s' % self.__dict__, default_host='localhost', default_port=self.default_port) self.add_opt('--warn-on-recent-start', action='store_true', help='Raise WARNING if started in the last 30 mins') ... [1 more functiondefs truncated] ...
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Code analysis results: 🔴 Errors found: Code truncated in middle of expression - unexpected EOF Block at line 17 has no indented body Invalid syntax at line 43: ... [1 more functiondefs truncated] ... ⚠️ Warnings: Unexpected indentation at line 21 Unexpected indentation at line 22 Unexpected indentation at line 23 Unexpected indentation at line 24 💡 Suggestions: Complete the expression on the last line Review syntax near the error location
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advanced
|
api
|
debugging
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Pythoncode:Python
| 2
| 1
| 1,380
| false
|
[{"role": "user", "content": "Debug this Pythoncode:Python code:\n#!/usr/bin/env python\n# vim:ts=4:sts=4:sw=4:et\n#\n# Author: Hari Sekhon\n# Date: 2016-02-02 17:46:18 +0000 (Tue, 02 Feb 2016)\n#\n# https://github.com/harisekhon/nagios-plugins\n#\n# License: see accompanying Hari Sekhon LICENSE file\n#\n# If you're using my code you're welcome to connect with me on LinkedIn and optionally send me feedback\n# to help improve or steer this or other code I publish\n#\n# http://www.linkedin.com/in/harisekhon\n#\n\nclass CheckTachyon(NagiosPlugin):\n\n def __init__(self):\n # Python 2.x\n super(CheckTachyon, self).__init__()\n # Python 3.x\n # super().__init__()\n self.software = 'Tachyon'\n name = ''\n default_port = None\n if re.search('master', prog, re.I):\n name = 'Master'\n default_port = 19999\n elif re.search('worker|slave', prog, re.I):\n name = 'Worker'\n default_port = 30000\n self.name = space_prefix(name)\n self.default_port = default_port\n\n def add_options(self):\n self.add_hostoption(name='%(software)s%(name)s' % self.__dict__,\n default_host='localhost',\n default_port=self.default_port)\n self.add_opt('--warn-on-recent-start', action='store_true', help='Raise WARNING if started in the last 30 mins')\n\n\n ... [1 more functiondefs truncated] ..."}, {"role": "assistant", "content": " Code analysis results:\n\n\n\ud83d\udd34 Errors found:\n Code truncated in middle of expression - unexpected EOF\n Block at line 17 has no indented body\n Invalid syntax at line 43: ... [1 more functiondefs truncated] ...\n\n\n\u26a0\ufe0f Warnings:\n Unexpected indentation at line 21\n Unexpected indentation at line 22\n Unexpected indentation at line 23\n Unexpected indentation at line 24\n\n\ud83d\udca1 Suggestions:\n Complete the expression on the last line\n Review syntax near the error location"}]
| false
| null | null | null |
58c90e53d1fb3a4d5ea0631332ae3174b0f78764
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: #! /usr/bin/python # -*- coding:utf-8 -*- """ Author: AsherYang Email: ouyangfan1991@gmail.com Date: 2018/5/6 Desc: 商品类 _id INT NOT NULL AUTO_INCREMENT PRIMARY KEY, goods_id VARCHAR(50) NOT NULL UNIQUE, cate_id VARCHAR(50), brand_id VARCHAR(50), goods_name VARCHAR(150), market_price INT, current_price INT NOT NULL, sale_count INT, stock_num INT, goods_code VARCHAR(20), goods_logo VARCHAR(200), thum_logo VARCHAR(200), keywords VARCHAR(200) """ class DbGoods: def __init__(self): self._goods_id = None self._cate_id = None self._brand_id = None self._goods_name = None self._market_price = None self._current_price = None self._sale_count = None self._stock_num = None self._status = None self._goods_code = None self._goods_logo = None self._thum_logo = None self._keywords = None @property def goods_id(self): return self._goods_id @goods_id.setter def goods_id(self, value): self._goods_id = value @property def cate_id(self): return self._cate_id @cate_id.setter def cate_id(self, value): self._cate_id = value @property def brand_id(self): return self._brand_id @brand_id.setter def brand_id(self, value): self._brand_id = value
|
Error Analysis: Error Type: HARD_CUT Error: SyntaxError / EOF Detected Errors: • Code truncated in middle of expression - unexpected EOF • Unterminated string literal at line 4 • Block at line 25 has no indented body Fix: Complete the truncated code structure
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advanced
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machine_learning
|
error_detection
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Pythoncode:Python
| 27
| 1
| 1,354
| false
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[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\n#! /usr/bin/python\n# -*- coding:utf-8 -*-\n\n\"\"\"\nAuthor: AsherYang\nEmail: ouyangfan1991@gmail.com\nDate: 2018/5/6\nDesc: \u5546\u54c1\u7c7b\n\n_id INT NOT NULL AUTO_INCREMENT PRIMARY KEY,\ngoods_id VARCHAR(50) NOT NULL UNIQUE,\ncate_id VARCHAR(50),\nbrand_id VARCHAR(50),\ngoods_name VARCHAR(150),\nmarket_price INT,\ncurrent_price INT NOT NULL,\nsale_count INT,\nstock_num INT,\ngoods_code VARCHAR(20),\ngoods_logo VARCHAR(200),\nthum_logo VARCHAR(200),\nkeywords VARCHAR(200)\n\"\"\"\n\nclass DbGoods:\n\n def __init__(self):\n self._goods_id = None\n self._cate_id = None\n self._brand_id = None\n self._goods_name = None\n self._market_price = None\n self._current_price = None\n self._sale_count = None\n self._stock_num = None\n self._status = None\n self._goods_code = None\n self._goods_logo = None\n self._thum_logo = None\n self._keywords = None\n\n @property\n def goods_id(self):\n return self._goods_id\n\n @goods_id.setter\n def goods_id(self, value):\n self._goods_id = value\n\n @property\n def cate_id(self):\n return self._cate_id\n\n @cate_id.setter\n def cate_id(self, value):\n self._cate_id = value\n\n @property\n def brand_id(self):\n return self._brand_id\n\n @brand_id.setter\n def brand_id(self, value):\n self._brand_id = value"}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: HARD_CUT\n Error: SyntaxError / EOF\n\n Detected Errors:\n \u2022 Code truncated in middle of expression - unexpected EOF\n \u2022 Unterminated string literal at line 4\n \u2022 Block at line 25 has no indented body\n\n Fix: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
58c955e59c19c227a64ddaec1ff5c53b441af44e
|
TheStack--python--010.parquet
|
Explain this Pythoncode:Python code: # Copyright 2014 NEC Corporation. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. from oslo_utils import timeutils from tempest.lib import exceptions from tempest import test from ironic_tempest_plugin.tests.api.admin import api_microversion_fixture from ironic_tempest_plugin.tests.api.admin import base class TestNodeStatesMixin(object): """Mixin for for baremetal node states tests.""" @classmethod def resource_setup(cls): super(TestNodeStatesMixin, cls).resource_setup() _, cls.chassis = cls.create_chassis() def _validate_power_state(self, node_uuid, power_state): # Validate that power state is set within timeout if power_state == 'rebooting': power_state = 'power on' start = timeutils.utcnow() while timeutils.delta_seconds( start, timeutils.utcnow()) < self.power_timeout: _, node = self.client.show_node(node_uuid) if node['power_state'] == power_state: return message = ('Failed to set power state within ' 'the required time: %s sec.' % self.power_timeout) raise exceptions.TimeoutException(message) def _validate_provision_state(self, node_uuid, target_state): # Validate that provision state is set within timeout start = timeutils.utcnow() while timeutils.delta_seconds( start, timeutils.utcnow()) < self.unprovision_timeout: _, node = self.client.show_node(node_uuid) if node['provision_state'] == target_state: return message = ('Failed to set provision state %(state)s within ' 'the required time: %(timeout)s sec.', {'state': target_state, 'timeout': self.unprovision_timeout}) raise exceptions.TimeoutException(message) @test.idempotent_id('cd8afa5e-3f57-4e43-8185-beb83d3c9015') def test_list_nodestates(self): _, node = self.create_node(self.chassis['uuid']) _, nodestates = self.client.list_nodestates(node['uuid']) for key in nodestates: self.assertEqual(nodestates[key], node[key]) @test.idempotent_id('fc5b9320-0c98-4e5a-8848-877fe5a0322c') ... [18 more functiondefs truncated] ...
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Functions: resource_setup, _validate_power_state, _validate_provision_state, test_list_nodestates Classes: TestNodeStatesMixin This code demonstrates Pythoncode:Python programming.
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advanced
|
testing
|
code_explanation
|
Pythoncode:Python
| 4
| 1
| 2,847
| true
|
[{"role": "user", "content": "Explain this Pythoncode:Python code:\n# Copyright 2014 NEC Corporation. All rights reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\"); you may\n# not use this file except in compliance with the License. You may obtain\n# a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT\n# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the\n# License for the specific language governing permissions and limitations\n# under the License.\n\nfrom oslo_utils import timeutils\nfrom tempest.lib import exceptions\nfrom tempest import test\n\nfrom ironic_tempest_plugin.tests.api.admin import api_microversion_fixture\nfrom ironic_tempest_plugin.tests.api.admin import base\n\n\nclass TestNodeStatesMixin(object):\n \"\"\"Mixin for for baremetal node states tests.\"\"\"\n\n @classmethod\n def resource_setup(cls):\n super(TestNodeStatesMixin, cls).resource_setup()\n _, cls.chassis = cls.create_chassis()\n\n def _validate_power_state(self, node_uuid, power_state):\n # Validate that power state is set within timeout\n if power_state == 'rebooting':\n power_state = 'power on'\n start = timeutils.utcnow()\n while timeutils.delta_seconds(\n start, timeutils.utcnow()) < self.power_timeout:\n _, node = self.client.show_node(node_uuid)\n if node['power_state'] == power_state:\n return\n message = ('Failed to set power state within '\n 'the required time: %s sec.' % self.power_timeout)\n raise exceptions.TimeoutException(message)\n\n def _validate_provision_state(self, node_uuid, target_state):\n # Validate that provision state is set within timeout\n start = timeutils.utcnow()\n while timeutils.delta_seconds(\n start, timeutils.utcnow()) < self.unprovision_timeout:\n _, node = self.client.show_node(node_uuid)\n if node['provision_state'] == target_state:\n return\n message = ('Failed to set provision state %(state)s within '\n 'the required time: %(timeout)s sec.',\n {'state': target_state,\n 'timeout': self.unprovision_timeout})\n raise exceptions.TimeoutException(message)\n\n @test.idempotent_id('cd8afa5e-3f57-4e43-8185-beb83d3c9015')\n def test_list_nodestates(self):\n _, node = self.create_node(self.chassis['uuid'])\n _, nodestates = self.client.list_nodestates(node['uuid'])\n for key in nodestates:\n self.assertEqual(nodestates[key], node[key])\n\n @test.idempotent_id('fc5b9320-0c98-4e5a-8848-877fe5a0322c')\n\n ... [18 more functiondefs truncated] ..."}, {"role": "assistant", "content": " Functions: resource_setup, _validate_power_state, _validate_provision_state, test_list_nodestates\n Classes: TestNodeStatesMixin\n This code demonstrates Pythoncode:Python programming."}]
| false
| null | null | null |
58ca016e73d26448b20b44e369f2e50999615454
|
TheStack--python--010.parquet
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Repair the syntax errors in this Pythoncode:Python code: #! /usr/bin/env python from __future__ import print_function from timeit import default_timer as time import numpy as np from numba import cuda @cuda.jit('(f4[:], f4[:], f4[:])') def cuda_sum(a, b, c): i = cuda.grid(1) c[i] = a[i] + b[i] griddim = 50, 1 blockdim = 32, 1, 1 N = griddim[0] * blockdim[0] print("N", N) cuda_sum_configured = cuda_sum.configure(griddim, blockdim) a = np.array(np.random.random(N), dtype=np.float32) b = np.array(np.random.random(N), dtype=np.float3 c = np.empty_like(a) ts = time() cuda_sum_configured(a, b, c) te = time() print(te - ts) assert (a + b == c).all() #print c
|
Syntax Analysis: Syntax Errors Found: • Unclosed '(' at line 22 - expected ')' • SyntaxError: '(' was never closed at line 22 Fixes: • Add closing ')' bracket • Review code syntax
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intermediate
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testing
|
syntax_repair
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Pythoncode:Python
| 1
| 0
| 618
| true
|
[{"role": "user", "content": "Repair the syntax errors in this Pythoncode:Python code:\n#! /usr/bin/env python\nfrom __future__ import print_function\n\nfrom timeit import default_timer as time\n\nimport numpy as np\n\nfrom numba import cuda\n\n\n@cuda.jit('(f4[:], f4[:], f4[:])')\ndef cuda_sum(a, b, c):\n i = cuda.grid(1)\n c[i] = a[i] + b[i]\n\ngriddim = 50, 1\nblockdim = 32, 1, 1\nN = griddim[0] * blockdim[0]\nprint(\"N\", N)\ncuda_sum_configured = cuda_sum.configure(griddim, blockdim)\na = np.array(np.random.random(N), dtype=np.float32)\nb = np.array(np.random.random(N), dtype=np.float3\nc = np.empty_like(a)\n\nts = time()\ncuda_sum_configured(a, b, c)\nte = time()\nprint(te - ts)\nassert (a + b == c).all()\n#print c"}, {"role": "assistant", "content": " Syntax Analysis:\n\n Syntax Errors Found:\n \u2022 Unclosed '(' at line 22 - expected ')'\n \u2022 SyntaxError: '(' was never closed at line 22\n\n Fixes:\n \u2022 Add closing ')' bracket\n \u2022 Review code syntax"}]
| true
|
syntax
|
BROKEN_INDENTATION
|
MEDIUM
|
58ca582d96902eeb442bf0f111f9bc553541e8dd
|
TheStack--python--010.parquet
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Review this Pythoncode:Python code: import fire from pathlib import Path from torchvision import datasets from tea.metrics.accuracy import Accuracy from tea.vision.cv import transforms from tea.config.app_cfg import AppConfig import tea.data.data_loader_factory as DLFactory import tea.models.factory as MFactory from tea.trainer.basic_learner import build_trainer from tea.trainer.helper import explore_lr_and_plot def build_train_val_datasets(cfg): data_in_dir = cfg.get_data_in_dir() train_ds = datasets.MNIST(data_in_dir, train=True, download=True, transform=transforms.Compose([ transforms.ToTensor(), transforms.Normalize((0.1307,), (0.3081,)) ])) valid_ds = datasets.MNIST(data_in_dir, train=False, transform=transforms.Compose([ transforms.ToTensor(), transforms.Normalize((0.1307,), (0.3081,)) ])) return train_ds, valid_ds """ It is good to follow pattern. In this case, any application starts with cfg file, with optional override arguments like the following: data_dir/path model_cfg model_out_dir epochs, lr, batch etc """ def run(ini_file='./mnist.ini', data_in_dir='./dataset', model_cfg='./lecnn.cfg', model_out_dir='./models', epochs=5, lr=0.001, batch_sz=256, log_freq=10, use_gpu=True): # Step 1: parse config cfg = AppConfig.from_file(ini_file, data_in_dir=data_in_dir, model_cfg=model_cfg, model_out_dir=model_out_dir, epochs=epochs, lr=lr, batch_sz=batch_sz, log_freq=log_freq, use_gpu=use_gpu) cfg.print() # Step 2: create data sets and loaders train_ds, val_ds = build_train_val_datasets(cfg) train_loader, val_loader = DLFactory.create_train_val_dataloader(cfg, train_ds, val_ds) # Step 3: create model model = MFactory.create_model(cfg) # Step 4: train/valid learner = build_trainer(cfg, model) # Step 5: optionally find the best lr path = learner.cfg.get_model_out_dir() path = Path(path) / 'lr_tmp.pch' lr = explore_lr_and_plot(learner, train_loader, path, start_lr=1.0e-5, end_lr=1.0, batches=100) print(f'Idea lr {lr}') # plt.show() # accuracy is a classification metric metrics = {"accuracy": Accuracy()} learner.fit(train_loader, val_loader, metrics=metrics) if __name__ == '__main__': fire.Fire(run)
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Code Review: ❌ Critical issues: Unterminated string literal at line 31 ⚠️ Code quality: Unexpected indentation at line 17 Unexpected indentation at line 18 Unexpected indentation at line 19 Unexpected indentation at line 20 Unexpected indentation at line 21 Unexpected indentation at line 24 Unexpected indentation at line 25 Unexpected indentation at line 26 Unexpected indentation at line 27 Unexpected indentation at line 28 Unexpected indentation at line 36 Unexpected indentation at line 37 Unexpected indentation at line 38 Unexpected indentation at line 41 Unexpected indentation at line 42 Unexpected indentation at line 43 Unexpected indentation at line 44 Unexpected indentation at line 45 Unexpected indentation at line 47 Unexpected indentation at line 48 Unexpected indentation at line 49 Unexpected indentation at line 50 Unexpected indentation at line 51 Unexpected indentation at line 52 Unexpected indentation at line 55 Unexpected indentation at line 56 Unexpected indentation at line 59 Unexpected indentation at line 62 Unexpected indentation at line 65 Unexpected indentation at line 66 Unexpected indentation at line 67 Unexpected indentation at line 68 Unexpected indentation at line 69 Unexpected indentation at line 70 Unexpected indentation at line 71 Unexpected indentation at line 72 Potential division by zero - add validation ✨ Improvements: Add closing quote at line 31 Add docstring to function 'build_train_val_datasets' Add docstring to function 'run' Remove debug print() at line 68 before production
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intermediate
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database
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code_review
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Pythoncode:Python
| 2
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[{"role": "user", "content": "Review this Pythoncode:Python code:\nimport fire\n\nfrom pathlib import Path\nfrom torchvision import datasets\n\nfrom tea.metrics.accuracy import Accuracy\nfrom tea.vision.cv import transforms\nfrom tea.config.app_cfg import AppConfig\nimport tea.data.data_loader_factory as DLFactory\nimport tea.models.factory as MFactory\nfrom tea.trainer.basic_learner import build_trainer\nfrom tea.trainer.helper import explore_lr_and_plot\n\n\ndef build_train_val_datasets(cfg):\n data_in_dir = cfg.get_data_in_dir()\n train_ds = datasets.MNIST(data_in_dir, train=True, download=True,\n transform=transforms.Compose([\n transforms.ToTensor(),\n transforms.Normalize((0.1307,), (0.3081,))\n ]))\n\n valid_ds = datasets.MNIST(data_in_dir, train=False,\n transform=transforms.Compose([\n transforms.ToTensor(),\n transforms.Normalize((0.1307,), (0.3081,))\n ]))\n return train_ds, valid_ds\n\n\n\"\"\"\nIt is good to follow pattern.\nIn this case, any application starts with cfg file, \nwith optional override arguments like the following: \n data_dir/path\n model_cfg\n model_out_dir\n epochs, lr, batch etc\n\"\"\"\ndef run(ini_file='./mnist.ini',\n data_in_dir='./dataset',\n model_cfg='./lecnn.cfg',\n model_out_dir='./models',\n epochs=5,\n lr=0.001, batch_sz=256, log_freq=10, use_gpu=True):\n # Step 1: parse config\n cfg = AppConfig.from_file(ini_file,\n data_in_dir=data_in_dir,\n model_cfg=model_cfg,\n model_out_dir=model_out_dir,\n epochs=epochs, lr=lr, batch_sz=batch_sz, log_freq=log_freq, use_gpu=use_gpu)\n cfg.print()\n\n # Step 2: create data sets and loaders\n train_ds, val_ds = build_train_val_datasets(cfg)\n train_loader, val_loader = DLFactory.create_train_val_dataloader(cfg, train_ds, val_ds)\n\n # Step 3: create model\n model = MFactory.create_model(cfg)\n\n # Step 4: train/valid\n learner = build_trainer(cfg, model)\n\n # Step 5: optionally find the best lr\n path = learner.cfg.get_model_out_dir()\n path = Path(path) / 'lr_tmp.pch'\n lr = explore_lr_and_plot(learner, train_loader, path, start_lr=1.0e-5, end_lr=1.0, batches=100)\n print(f'Idea lr {lr}')\n # plt.show()\n # accuracy is a classification metric\n metrics = {\"accuracy\": Accuracy()}\n learner.fit(train_loader, val_loader, metrics=metrics)\n\n\nif __name__ == '__main__':\n fire.Fire(run)"}, {"role": "assistant", "content": " Code Review:\n\n\n\u274c Critical issues:\n Unterminated string literal at line 31\n\n\u26a0\ufe0f Code quality:\n Unexpected indentation at line 17\n Unexpected indentation at line 18\n Unexpected indentation at line 19\n Unexpected indentation at line 20\n Unexpected indentation at line 21\n Unexpected indentation at line 24\n Unexpected indentation at line 25\n Unexpected indentation at line 26\n Unexpected indentation at line 27\n Unexpected indentation at line 28\n Unexpected indentation at line 36\n Unexpected indentation at line 37\n Unexpected indentation at line 38\n Unexpected indentation at line 41\n Unexpected indentation at line 42\n Unexpected indentation at line 43\n Unexpected indentation at line 44\n Unexpected indentation at line 45\n Unexpected indentation at line 47\n Unexpected indentation at line 48\n Unexpected indentation at line 49\n Unexpected indentation at line 50\n Unexpected indentation at line 51\n Unexpected indentation at line 52\n Unexpected indentation at line 55\n Unexpected indentation at line 56\n Unexpected indentation at line 59\n Unexpected indentation at line 62\n Unexpected indentation at line 65\n Unexpected indentation at line 66\n Unexpected indentation at line 67\n Unexpected indentation at line 68\n Unexpected indentation at line 69\n Unexpected indentation at line 70\n Unexpected indentation at line 71\n Unexpected indentation at line 72\n Potential division by zero - add validation\n\n\u2728 Improvements:\n Add closing quote at line 31\n Add docstring to function 'build_train_val_datasets'\n Add docstring to function 'run'\n Remove debug print() at line 68 before production"}]
| false
| null | null | null |
58cb2ccc93b269c85e157d1d147b1a4768fe7c02
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TheStack--python--010.parquet
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Complete this incomplete Pythoncode:Python code: import pygame from src import common, utils class Slider: # pylint: disable=too-many-instance-attributes # Well, whaddya expect, there needs to be a lot to customize the slider def __init__( self, coord, color, length, width, min_val, max_val, default_val=None, screen=common.SCREEN, num_spaces=-1, slide_color=None, show_value=True, ): self.coord = coord ... code continues ...
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Completion: Missing: Code truncated abruptly - unexpected end of file To complete: • Complete the truncated code structure Example continuation: self.color = color self.length = length self.width = width self.min_val = min_val self.max_val = max_val
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advanced
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oop
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incomplete_code
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Pythoncode:Python
| 1
| 1
| 478
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[{"role": "user", "content": "Complete this incomplete Pythoncode:Python code:\nimport pygame\nfrom src import common, utils\n\n\nclass Slider:\n # pylint: disable=too-many-instance-attributes\n # Well, whaddya expect, there needs to be a lot to customize the slider\n\n def __init__(\n self,\n coord,\n color,\n length,\n width,\n min_val,\n max_val,\n default_val=None,\n screen=common.SCREEN,\n num_spaces=-1,\n slide_color=None,\n show_value=True,\n ):\n self.coord = coord\n\n ... code continues ..."}, {"role": "assistant", "content": " Completion:\n\n Missing: Code truncated abruptly - unexpected end of file\n\n To complete:\n \u2022 Complete the truncated code structure\n\n Example continuation:\n self.color = color\n self.length = length\n self.width = width\n self.min_val = min_val\n self.max_val = max_val"}]
| true
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syntax
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HARD_CUT
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CRITICAL
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58cb649dfaa333a511114e86fde8503b270e69e2
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TheStack--python--010.parquet
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Debug this Pythoncode:Python code: # Definition for binary tree with next pointer. # class TreeLinkNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None # self.next = None # LC 116 # Solution 1: class Solution(object): # @param root, a tree link node # @return nothing def connect(self, root): if root is None: return first = None p = root while p is not None: if first is None: first = p.left if p.left: p.left.next = p.right if p.right: if p.next: p.right.next = p.next.left p = p.next else: p = first first = None else: break # Solution 2: class Solution(object): # @param root, a tree link node # @return nothing def connect(self, root): if root is None: return first = None p = root while p is not None: if first is None: first = p.left if p.left: p.left.next = p.right elif p.right: if p.next: p.right.next = p.next.left p = p.next else: p = first first = None # lmf class Solution: # @param root, a tree link node # @return nothing def connect(self, root): if not root: return cur = root leftMost = cur.left while leftMost: while cur: cur.left.next = cur.right # cur.next为空的node的right.next为空 if cur.next: cur.right.next = cur.next.left cur = cur.next cur = leftMost leftMost = cur.left # 只有right的next会指向none，所以左边就直接加指针
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Code analysis results: 🔴 Errors found: Block at line 2 has no indented body Block at line 3 has no indented body Block at line 9 has no indented body Block at line 39 has no indented body ⚠️ Warnings: Unexpected indentation at line 14 Unexpected indentation at line 21 Unexpected indentation at line 26 Unexpected indentation at line 28 💡 Suggestions: Add docstring to class 'Solution' Add docstring to class 'Solution' Add docstring to class 'Solution'
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advanced
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oop
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debugging
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Pythoncode:Python
| 3
| 3
| 1,947
| false
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[{"role": "user", "content": "Debug this Pythoncode:Python code:\n# Definition for binary tree with next pointer.\n# class TreeLinkNode:\n# def __init__(self, x):\n# self.val = x\n# self.left = None\n# self.right = None\n# self.next = None\n# LC 116\n# Solution 1:\n\n\nclass Solution(object):\n # @param root, a tree link node\n # @return nothing\n\n def connect(self, root):\n if root is None:\n return\n\n first = None\n p = root\n\n while p is not None:\n if first is None:\n first = p.left\n if p.left:\n p.left.next = p.right\n if p.right:\n if p.next:\n p.right.next = p.next.left\n p = p.next\n else:\n p = first\n first = None\n else:\n break\n\n\n# Solution 2:\n\nclass Solution(object):\n # @param root, a tree link node\n # @return nothing\n\n def connect(self, root):\n if root is None:\n return\n\n first = None\n p = root\n\n while p is not None:\n if first is None:\n first = p.left\n if p.left:\n p.left.next = p.right\n elif p.right:\n if p.next:\n p.right.next = p.next.left\n p = p.next\n else:\n p = first\n first = None\n\n# lmf\nclass Solution:\n # @param root, a tree link node\n # @return nothing\n def connect(self, root):\n if not root:\n return\n cur = root\n leftMost = cur.left\n while leftMost:\n while cur:\n cur.left.next = cur.right\n # cur.next\u4e3a\u7a7a\u7684node\u7684right.next\u4e3a\u7a7a\n if cur.next:\n cur.right.next = cur.next.left\n cur = cur.next\n cur = leftMost\n leftMost = cur.left\n\n\n# \u53ea\u6709right\u7684next\u4f1a\u6307\u5411none\uff0c\u6240\u4ee5\u5de6\u8fb9\u5c31\u76f4\u63a5\u52a0\u6307\u9488"}, {"role": "assistant", "content": " Code analysis results:\n\n\n\ud83d\udd34 Errors found:\n Block at line 2 has no indented body\n Block at line 3 has no indented body\n Block at line 9 has no indented body\n Block at line 39 has no indented body\n\n\u26a0\ufe0f Warnings:\n Unexpected indentation at line 14\n Unexpected indentation at line 21\n Unexpected indentation at line 26\n Unexpected indentation at line 28\n\n\ud83d\udca1 Suggestions:\n Add docstring to class 'Solution'\n Add docstring to class 'Solution'\n Add docstring to class 'Solution'"}]
| false
| null | null | null |
58cbaca29a3e994c37ae654fdf74ce85db55ebce
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TheStack--python--010.parquet
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Debug this Pythoncode:Python code: def add_parameters(t): t.add_parameter(flink_version) t.add_parameter(http_location) t.add_parameter(jobmanager_instance_type) t.add_parameter(key_name) t.add_parameter(nat_instance_type) t.add_parameter(ssh_location) t.add_parameter(taskmanager_instance_type)
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Code analysis results: ⚠️ Warnings: Unexpected indentation at line 3 Unexpected indentation at line 4 Unexpected indentation at line 5 Unexpected indentation at line 6 💡 Suggestions: Add docstring to function 'add_parameters'
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intermediate
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api
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debugging
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Pythoncode:Python
| 1
| 0
| 289
| false
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[{"role": "user", "content": "Debug this Pythoncode:Python code:\ndef add_parameters(t):\n t.add_parameter(flink_version)\n t.add_parameter(http_location)\n t.add_parameter(jobmanager_instance_type)\n t.add_parameter(key_name)\n t.add_parameter(nat_instance_type)\n t.add_parameter(ssh_location)\n t.add_parameter(taskmanager_instance_type)"}, {"role": "assistant", "content": " Code analysis results:\n\n\n\u26a0\ufe0f Warnings:\n Unexpected indentation at line 3\n Unexpected indentation at line 4\n Unexpected indentation at line 5\n Unexpected indentation at line 6\n\n\ud83d\udca1 Suggestions:\n Add docstring to function 'add_parameters'"}]
| false
| null | null | null |
58cbe9ddfb987a47645b43e8b9190954b62762d7
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TheStack--python--010.parquet
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Complete this incomplete Pythoncode:Python code: class Clustering(): """ Class for calculating Cluster centroid from list of Locations """ @staticmethod def calculate(locations=None): """ Static method calculates Data cluster centers of given location list. Locations list must be in form of namedtuple and is also returned like that: Location = namedtuple('Location', 'latitude longitude') """ logger.info("Calculation of location data cluster centroid started.") # List of latitudes and longitudes latitudes = [] longitudes = [] sum_of_squared_distances = [] calculated_kmeans_models = [] iteration = 0 for loc in locations: # Locations divided into latitude longitude lists try: latitudes.append(locations[loc].latitude) longitudes.append(locations[loc].longitude) iteration += 1 logger.debug("Separation of latitudes and longitudes. %i iteration.", iteration) except AttributeError as exception: # None values from database are skipped logger.warning("Value excluded from iterration. AttributeError: %s", str(exception)) if len(locations) < 3: logger.warning("Not enough location data for using this method. At least 3 entries are needed.") return None # Data transformation into numpy array X = numpy.array(list(zip(latitudes, longitudes))).reshape(len(latitudes), 2) # Estimating ideal K from elbow function K = range(1, iteration) for k in K: kmeans_model = (KMeans(n_clusters=k).fit(X)) sum_of_squared_distances.append(kmeans_model.inertia_) calculated_kmeans_models.append(kmeans_model) logger.debug("Calculating K-Means model for K = %i", k) try: knee_func = KneeLocator(K, sum_of_squared_distances, curve='convex', direction='decreasing') # Sellecting fittest KMeans algorithm model final_kmeans_model = calculated_kmeans_models[knee_func.knee - 1] logger.debug("Finding local extremes of knee function. K = %i,", knee_func.knee) except (TypeError, ValueError): final_kmeans_model = calculated_kmeans_models[0] logger.warning("No extremes found in K-Means optimalization. Calculating for K = 1. Result will be silmilar to Average.") center_locations = numpy.array(final_kmeans_model.cluster_centers_).tolist() # Return calculated location. Biggest cluster has always index 0 logger.info("Calculated Median location form %i DB responses is: %.3f N, %.3f", iteration, center_locations[0][0], center_locations[0][1]) ... code continues ...
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Completion: Missing: Function missing return statement To complete: • Add return statement to function Example continuation:
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advanced
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testing
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incomplete_code
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Pythoncode:Python
| 1
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| 2,775
| false
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[{"role": "user", "content": "Complete this incomplete Pythoncode:Python code:\nclass Clustering():\n \"\"\"\n Class for calculating Cluster centroid from list of Locations\n \"\"\"\n @staticmethod\n def calculate(locations=None):\n \"\"\"\n Static method calculates Data cluster centers of given location list.\n Locations list must be in form of namedtuple and is also returned like that:\n\n Location = namedtuple('Location', 'latitude longitude')\n \"\"\"\n logger.info(\"Calculation of location data cluster centroid started.\")\n # List of latitudes and longitudes\n latitudes = []\n longitudes = []\n sum_of_squared_distances = []\n calculated_kmeans_models = []\n iteration = 0\n\n for loc in locations:\n # Locations divided into latitude longitude lists\n try:\n latitudes.append(locations[loc].latitude)\n longitudes.append(locations[loc].longitude)\n iteration += 1\n\n logger.debug(\"Separation of latitudes and longitudes. %i iteration.\", iteration)\n\n except AttributeError as exception:\n # None values from database are skipped\n logger.warning(\"Value excluded from iterration. AttributeError: %s\", str(exception))\n if len(locations) < 3:\n logger.warning(\"Not enough location data for using this method. At least 3 entries are needed.\")\n return None\n # Data transformation into numpy array\n X = numpy.array(list(zip(latitudes, longitudes))).reshape(len(latitudes), 2)\n\n # Estimating ideal K from elbow function\n K = range(1, iteration)\n for k in K:\n kmeans_model = (KMeans(n_clusters=k).fit(X))\n sum_of_squared_distances.append(kmeans_model.inertia_)\n calculated_kmeans_models.append(kmeans_model)\n\n logger.debug(\"Calculating K-Means model for K = %i\", k)\n\n try:\n knee_func = KneeLocator(K, sum_of_squared_distances, curve='convex', direction='decreasing')\n\n # Sellecting fittest KMeans algorithm model\n final_kmeans_model = calculated_kmeans_models[knee_func.knee - 1]\n logger.debug(\"Finding local extremes of knee function. K = %i,\", knee_func.knee)\n\n except (TypeError, ValueError):\n final_kmeans_model = calculated_kmeans_models[0]\n logger.warning(\"No extremes found in K-Means optimalization. Calculating for K = 1. Result will be silmilar to Average.\")\n\n center_locations = numpy.array(final_kmeans_model.cluster_centers_).tolist()\n\n # Return calculated location. Biggest cluster has always index 0\n logger.info(\"Calculated Median location form %i DB responses is: %.3f N, %.3f\", iteration, center_locations[0][0], center_locations[0][1])\n\n\n ... code continues ..."}, {"role": "assistant", "content": " Completion:\n\n Missing: Function missing return statement\n\n To complete:\n \u2022 Add return statement to function\n\n Example continuation:"}]
| true
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syntax
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INCOMPLETE_LOGIC
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MEDIUM
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58cdd3a62c59eb63ad83e8f877e7f74d75da1458
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TheStack--python--010.parquet
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Explain this Pythoncode:Python code: """Cox-Ingersoll-Ross Process""" from typing import Dict import numpy as np from pyesg.stochastic_process import StochasticProcess class CoxIngersollRossProcess(StochasticProcess): """ Cox-Ingersoll-Ross process: dX = θ(μ - X)dt + σX**0.5dW Examples -------- >>> cir = CoxIngersollRossProcess.example() >>> cir <pyesg.CoxIngersollRossProcess(mu=0.05, sigma=0.02, theta=0.1)> >>> cir.drift(x0=0.045) array([0.0005]) >>> cir.diffusion(x0=0.03) array([0.0034641]) >>> cir.expectation(x0=0.03, dt=0.5) array([0.031]) >>> cir.standard_deviation(x0=0.03, dt=0.5) array([0.00244949]) >>> cir.step(x0=0.03, dt=1.0, random_state=42) array([0.03372067]) >>> cir.step(x0=[0.03], dt=1.0, random_state=42) array([0.03372067]) """ def __init__(self, mu: float, sigma: float, theta: float) -> None: super().__init__() self.mu = mu self.sigma = sigma self.theta = theta def coefs(self) -> Dict[str, float]: return dict(mu=self.mu, sigma=self.sigma, theta=self.theta) def _apply(self, x0: np.ndarray, dx: np.ndarray) -> np.ndarray: # arithmetic addition to update x0 return x0 + dx def _drift(self, x0: np.ndarray) -> np.ndarray: return self.theta * (self.mu - x0) def _diffusion(self, x0: np.ndarray) -> np.ndarray: return self.sigma * x0 ** 0.5 @classmethod def example(cls) -> "CoxIngersollRossProcess": return cls(mu=0.05, sigma=0.02, theta=0.1)
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Functions: __init__, coefs, _apply, _drift, _diffusion Classes: CoxIngersollRossProcess This code demonstrates Pythoncode:Python programming.
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advanced
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oop
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code_explanation
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Pythoncode:Python
| 6
| 1
| 1,537
| true
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[{"role": "user", "content": "Explain this Pythoncode:Python code:\n\"\"\"Cox-Ingersoll-Ross Process\"\"\"\nfrom typing import Dict\nimport numpy as np\n\nfrom pyesg.stochastic_process import StochasticProcess\n\n\nclass CoxIngersollRossProcess(StochasticProcess):\n \"\"\"\n Cox-Ingersoll-Ross process: dX = \u03b8(\u03bc - X)dt + \u03c3X**0.5dW\n\n Examples\n --------\n >>> cir = CoxIngersollRossProcess.example()\n >>> cir\n <pyesg.CoxIngersollRossProcess(mu=0.05, sigma=0.02, theta=0.1)>\n\n >>> cir.drift(x0=0.045)\n array([0.0005])\n\n >>> cir.diffusion(x0=0.03)\n array([0.0034641])\n\n >>> cir.expectation(x0=0.03, dt=0.5)\n array([0.031])\n\n >>> cir.standard_deviation(x0=0.03, dt=0.5)\n array([0.00244949])\n\n >>> cir.step(x0=0.03, dt=1.0, random_state=42)\n array([0.03372067])\n\n >>> cir.step(x0=[0.03], dt=1.0, random_state=42)\n array([0.03372067])\n \"\"\"\n\n def __init__(self, mu: float, sigma: float, theta: float) -> None:\n super().__init__()\n self.mu = mu\n self.sigma = sigma\n self.theta = theta\n\n def coefs(self) -> Dict[str, float]:\n return dict(mu=self.mu, sigma=self.sigma, theta=self.theta)\n\n def _apply(self, x0: np.ndarray, dx: np.ndarray) -> np.ndarray:\n # arithmetic addition to update x0\n return x0 + dx\n\n def _drift(self, x0: np.ndarray) -> np.ndarray:\n return self.theta * (self.mu - x0)\n\n def _diffusion(self, x0: np.ndarray) -> np.ndarray:\n return self.sigma * x0 ** 0.5\n\n @classmethod\n def example(cls) -> \"CoxIngersollRossProcess\":\n return cls(mu=0.05, sigma=0.02, theta=0.1)"}, {"role": "assistant", "content": " Functions: __init__, coefs, _apply, _drift, _diffusion\n Classes: CoxIngersollRossProcess\n This code demonstrates Pythoncode:Python programming."}]
| false
| null | null | null |
58cef0f255d358854e1fb2d500b890e4840e3429
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TheStack--python--010.parquet
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Find all errors in this Pythoncode:Python code: import logging import pytest from adstxt import fetch USER_AGENT = 'adstxt_integration_test' @pytest.mark.integration @pytest.mark.asyncio async def test_fetch_problem_urls(caplog): """Test problem URLs that have tripped us up before.""" caplog.set_level(logging.DEBUG) # Has a basic adstxt all direct through Google. michelin = await fetch.fetch('viamichelin.co.uk', USER_AGENT) assert michelin.adstxt_present is True # Michelin just sell through Adx. assert len(michelin.response) >= 1 capital = await fetch.fetch('capital.it', USER_AGENT) assert capital.adstxt_present is True assert len(capital.response) > 1 amazon_redirect = await fetch.fetch('nice-video.de', USER_AGENT) assert amazon_redirect.adstxt_present is True framboise = await fetch.fetch('framboise314.fr', USER_AGENT) assert framboise.adstxt_present is True assert len(framboise.response) > 1 lucifer = await fetch.fetch('lucifer.wikia.com', USER_AGENT) assert lucifer.adstxt_present is True @pytest.mark.
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Error Analysis: Error Type: HARD_CUT Error: SyntaxError / EOF Detected Errors: • Invalid syntax at line 38: @pytest.mark. Fix: Complete the truncated code structure
|
intermediate
|
testing
|
error_detection
|
Pythoncode:Python
| 0
| 0
| 1,053
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\nimport logging\n\nimport pytest\n\nfrom adstxt import fetch\n\n\nUSER_AGENT = 'adstxt_integration_test'\n\n\n@pytest.mark.integration\n@pytest.mark.asyncio\nasync def test_fetch_problem_urls(caplog):\n \"\"\"Test problem URLs that have tripped us up before.\"\"\"\n caplog.set_level(logging.DEBUG)\n\n # Has a basic adstxt all direct through Google.\n michelin = await fetch.fetch('viamichelin.co.uk', USER_AGENT)\n assert michelin.adstxt_present is True\n # Michelin just sell through Adx.\n assert len(michelin.response) >= 1\n\n capital = await fetch.fetch('capital.it', USER_AGENT)\n assert capital.adstxt_present is True\n assert len(capital.response) > 1\n\n amazon_redirect = await fetch.fetch('nice-video.de', USER_AGENT)\n assert amazon_redirect.adstxt_present is True\n\n framboise = await fetch.fetch('framboise314.fr', USER_AGENT)\n assert framboise.adstxt_present is True\n assert len(framboise.response) > 1\n\n lucifer = await fetch.fetch('lucifer.wikia.com', USER_AGENT)\n assert lucifer.adstxt_present is True\n\n\n@pytest.mark."}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: HARD_CUT\n Error: SyntaxError / EOF\n\n Detected Errors:\n \u2022 Invalid syntax at line 38: @pytest.mark.\n\n\n Fix: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
58d16bb01d0803b469a3a00cd4adde48123986dc
|
TheStack--python--010.parquet
|
Find the logical error in this Pythoncode:Python code: from ruamel.yaml import YAML from kubessh.authentication.github import GitHubAuthenticator from kubessh.authentication.gitlab import GitLabAuthenticator from kubessh.authentication.dummy import DummyAuthenticator yaml = YAML() c.KubeSSH.host_key_path = '/etc/kubessh/secrets/kubessh.host-key' c.KubeSSH.debug = True with open('/etc/kubessh/config/values.yaml') as f: config = yaml.load(f) if config['auth']['type'] = 'github': c.KubeSSH.authenticator_class = GitHubAuthenticator c.KubeSSH.authenticator_class.allowed_users = config['auth']['github']['allowedUsers'] elif config['auth']['type'] == 'gitlab': c.KubeSSH.authenticator_class = GitLabAuthenticator c.KubeSSH.authenticator_class.instance_url = config['auth']['gitlab']['instanceUrl'] c.KubeSSH.authenticator_class.allowed_users = config['auth']['gitlab']['allowedUsers'] elif config['auth']['type'] == 'dummy': c.KubeSSH.authenticator_class = DummyAuthenticator if 'defaultNamespace' in config: c.KubeSSH.default_namespace = config['defaultNamespace'] if 'podTemplate' in config: c.UserPod.pod_template = config['podTemplate'] if 'pvcTemplates' in config: c.UserPod.pvc_templates = config['pvcTemplates'] if 'userMappings' in config: c.UserPod.user_mappings = config['userMappings']
|
Logical Error Analysis: Error Type: WRONG_OPERATOR Issue: Assignment instead of comparison Severity: CRITICAL Location: Line 14 Buggy code: if config['auth']['type'] = 'github': Should be: if config['auth']['type'] == 'github': Explanation: Wrong operator will cause logic error Fix: Change operator back to correct one
|
intermediate
|
machine_learning
|
logical_errors
|
Pythoncode:Python
| 0
| 0
| 1,296
| true
|
[{"role": "user", "content": "Find the logical error in this Pythoncode:Python code:\nfrom ruamel.yaml import YAML\nfrom kubessh.authentication.github import GitHubAuthenticator\nfrom kubessh.authentication.gitlab import GitLabAuthenticator\nfrom kubessh.authentication.dummy import DummyAuthenticator\n\nyaml = YAML()\n\nc.KubeSSH.host_key_path = '/etc/kubessh/secrets/kubessh.host-key'\nc.KubeSSH.debug = True\n\nwith open('/etc/kubessh/config/values.yaml') as f:\n config = yaml.load(f)\n\nif config['auth']['type'] = 'github':\n c.KubeSSH.authenticator_class = GitHubAuthenticator\n c.KubeSSH.authenticator_class.allowed_users = config['auth']['github']['allowedUsers']\nelif config['auth']['type'] == 'gitlab':\n c.KubeSSH.authenticator_class = GitLabAuthenticator\n c.KubeSSH.authenticator_class.instance_url = config['auth']['gitlab']['instanceUrl']\n c.KubeSSH.authenticator_class.allowed_users = config['auth']['gitlab']['allowedUsers']\n\nelif config['auth']['type'] == 'dummy':\n c.KubeSSH.authenticator_class = DummyAuthenticator\n\nif 'defaultNamespace' in config:\n c.KubeSSH.default_namespace = config['defaultNamespace']\n\nif 'podTemplate' in config:\n c.UserPod.pod_template = config['podTemplate']\n\nif 'pvcTemplates' in config:\n c.UserPod.pvc_templates = config['pvcTemplates']\n\nif 'userMappings' in config:\n c.UserPod.user_mappings = config['userMappings']"}, {"role": "assistant", "content": " Logical Error Analysis:\n\n Error Type: WRONG_OPERATOR\n Issue: Assignment instead of comparison\n Severity: CRITICAL\n\n Location: Line 14\n\n Buggy code:\n if config['auth']['type'] = 'github':\n\n Should be:\n if config['auth']['type'] == 'github':\n\n Explanation: Wrong operator will cause logic error\n Fix: Change operator back to correct one"}]
| true
|
logical
|
WRONG_OPERATOR
|
CRITICAL
|
58d3725cda34b5867444c5dc0f6c86c46367c303
|
TheStack--python--010.parquet
|
Debug this Pythoncode:Python code: ''' # boj 16968 if __name__ == "__main__": n = input() l = {'c':26, 'd':10} res = 1 before = '' for i in range(len(n)): if n[i] == before: res *= (l.get(n[i])-1) else: res *= l.get(n[i]) before = n[i] print(res) ''' # boj 14681 if __name__ == "__main__": x = int(input()) y = int(input()) answer = 0 if x > 0 and y > 0: answer = 1 if x > 0 and y < 0: answer = 4 if x < 0 and y < 0: answer = 3 if x < 0 and y > 0: answer = 2 print(answer)
|
Code analysis results: 🔴 Errors found: Unterminated string literal at line 1 ⚠️ Warnings: Unexpected indentation at line 5 Unexpected indentation at line 6 Unexpected indentation at line 7 Unexpected indentation at line 8 💡 Suggestions: Add closing quote at line 1 Remove debug print() at line 15 before production Remove debug print() at line 32 before production
|
intermediate
|
machine_learning
|
debugging
|
Pythoncode:Python
| 0
| 0
| 576
| false
|
[{"role": "user", "content": "Debug this Pythoncode:Python code:\n'''\n# boj 16968\nif __name__ == \"__main__\":\n n = input()\n l = {'c':26, 'd':10}\n res = 1\n before = ''\n for i in range(len(n)):\n if n[i] == before:\n res *= (l.get(n[i])-1)\n else:\n res *= l.get(n[i])\n\n before = n[i]\n print(res)\n'''\n\n\n# boj 14681\nif __name__ == \"__main__\":\n x = int(input())\n y = int(input())\n answer = 0\n if x > 0 and y > 0:\n answer = 1\n if x > 0 and y < 0:\n answer = 4\n if x < 0 and y < 0:\n answer = 3\n if x < 0 and y > 0:\n answer = 2\n print(answer)"}, {"role": "assistant", "content": " Code analysis results:\n\n\n\ud83d\udd34 Errors found:\n Unterminated string literal at line 1\n\n\u26a0\ufe0f Warnings:\n Unexpected indentation at line 5\n Unexpected indentation at line 6\n Unexpected indentation at line 7\n Unexpected indentation at line 8\n\n\ud83d\udca1 Suggestions:\n Add closing quote at line 1\n Remove debug print() at line 15 before production\n Remove debug print() at line 32 before production"}]
| false
| null | null | null |
58d3fd5c010223f452b1510b503d348b2784540d
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: from django.test import TestCase from django.urls import reverse from django.contrib.auth.models import User class ProfileViewTest(TestCase): """Test for profile page.""" def test_profile_page_with_no_account(self): response = self.client.get(reverse('profile', args=('anonymous',))) self.assertEqual(response.status_code, 302) self.assertRedi
|
Error Analysis: Error Type: HARD_CUT Error: SyntaxError / EOF Fix: Complete the truncated code structure
|
advanced
|
testing
|
error_detection
|
Pythoncode:Python
| 2
| 1
| 378
| true
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\nfrom django.test import TestCase\nfrom django.urls import reverse\nfrom django.contrib.auth.models import User\n\n\nclass ProfileViewTest(TestCase):\n \"\"\"Test for profile page.\"\"\"\n\n def test_profile_page_with_no_account(self):\n response = self.client.get(reverse('profile', args=('anonymous',)))\n self.assertEqual(response.status_code, 302)\n self.assertRedi"}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: HARD_CUT\n Error: SyntaxError / EOF\n\n Fix: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
58d40f05038b434c0beeeba90be32b52b008a378
|
TheStack--python--010.parquet
|
Fix this broken Pythoncode:Python code: import spacy from django.conf import settings # Initialize language model try: if settings.LANG_MODEL != 'none': nlp = spacy.load(set Error: SyntaxError / EOF
|
Fixed Code: import spacy from django.conf import settings # Initialize language model try: if settings.LANG_MODEL != 'none': nlp = spacy.load(settings.LANG_MODEL) else: raise ImportError except(ImportError, OSError) : def nlp(text): raise NotImplementedError Explanation: Complete the truncated code structure
|
intermediate
|
machine_learning
|
error_fixing
|
Pythoncode:Python
| 1
| 0
| 153
| true
|
[{"role": "user", "content": "Fix this broken Pythoncode:Python code:\nimport spacy \nfrom django.conf import settings\n\n\n# Initialize language model \ntry: \n if settings.LANG_MODEL != 'none': \n nlp = spacy.load(set\n\n Error: SyntaxError / EOF"}, {"role": "assistant", "content": " Fixed Code:\n\n\nimport spacy \nfrom django.conf import settings\n\n\n# Initialize language model \ntry: \n if settings.LANG_MODEL != 'none': \n nlp = spacy.load(settings.LANG_MODEL)\n else:\n raise ImportError\nexcept(ImportError, OSError) : \n def nlp(text):\n raise NotImplementedError\n\n Explanation: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
58d47c1b484ec7e3a7db84f8acd13737db092968
|
TheStack--python--010.parquet
|
Explain this Pythoncode:Python code: import os import steamcheck import unittest import json class WebTestCase(unittest.TestCase): def setUp(self): steamcheck.app.config['TESTING'] = True self.app = steamcheck.app.test_client() def test_root(self): rv = self.app.get('/') self.assertIn(u"<!DOCTYPE html>", str(rv.data)) def test_report(self): rv = self.app.get('/report/76561198044413311') report = json.loads(rv.data.decode('utf-8')) self.assertEqual('moird', report['steamuser']) self.assertTrue(report['games']['20']['linux'])
|
Functions: setUp, test_root, test_report Classes: WebTestCase This code demonstrates Pythoncode:Python programming.
|
advanced
|
testing
|
code_explanation
|
Pythoncode:Python
| 3
| 1
| 572
| true
|
[{"role": "user", "content": "Explain this Pythoncode:Python code:\nimport os\nimport steamcheck\nimport unittest\nimport json\n\nclass WebTestCase(unittest.TestCase):\n def setUp(self):\n steamcheck.app.config['TESTING'] = True\n self.app = steamcheck.app.test_client()\n\n def test_root(self):\n rv = self.app.get('/')\n self.assertIn(u\"<!DOCTYPE html>\", str(rv.data))\n\n def test_report(self):\n rv = self.app.get('/report/76561198044413311')\n report = json.loads(rv.data.decode('utf-8'))\n self.assertEqual('moird', report['steamuser'])\n self.assertTrue(report['games']['20']['linux'])"}, {"role": "assistant", "content": " Functions: setUp, test_root, test_report\n Classes: WebTestCase\n This code demonstrates Pythoncode:Python programming."}]
| false
| null | null | null |
58d486177b076415d32f8f30dfc6856bb31d2438
|
TheStack--python--010.parquet
|
Explain this Pythoncode:Python code: """Alustaa tietokannan taulut """ from db_connection import get_connection from db_clear import clear_database def build_database(): """Alustaa tietokannan taulut toistaiseksi vain readingtips """ database = get_connection() sql = [''' CREATE TABLE IF NOT EXISTS readingtips ( id INTEGER PRIMARY KEY, name TEXT, description TEXT, type INTEGER, visible INTEGER DEFAULT 1, read INTEGER) ''', ''' CREATE TABLE IF NOT EXISTS book ( id INTEGER PRIMARY KEY, author TEXT NOT NULL, isbn TEXT, tip_id INTEGER REFERENCES readingtips) ''', ''' CREATE TABLE IF NOT EXISTS blog ( id INTEGER PRIMARY KEY, title TEXT, author TEXT NOT NULL, url TEXT NOT NULL, tip_id INTEGER REFERENCES readingtips) ''', ''' CREATE TABLE IF NOT EXISTS podcast ( id INTEGER PRIMARY KEY, episode TEXT NOT NULL, url TEXT, tip_id INTEGER REFERENCES readingtips) ''', ''' CREATE TABLE IF NOT EXISTS video ( id INTEGER PRIMARY KEY, url TEXT NOT NULL, author TEXT, tip_id INTEGER REFERENCES readingtips) ''' ] for command in sql: database.execute(command) if __name__ == "__main__": clear_database() build_database()
|
Functions: build_database This code demonstrates Pythoncode:Python programming.
|
intermediate
|
database
|
code_explanation
|
Pythoncode:Python
| 1
| 0
| 1,579
| true
|
[{"role": "user", "content": "Explain this Pythoncode:Python code:\n\"\"\"Alustaa tietokannan taulut\n\"\"\"\nfrom db_connection import get_connection\nfrom db_clear import clear_database\n\ndef build_database():\n \"\"\"Alustaa tietokannan taulut\n toistaiseksi vain readingtips\n \"\"\"\n database = get_connection()\n sql = ['''\n CREATE TABLE IF NOT EXISTS readingtips (\n id INTEGER PRIMARY KEY, \n name TEXT,\n description TEXT, \n type INTEGER, \n visible INTEGER DEFAULT 1, \n read INTEGER)\n ''',\n\n '''\n CREATE TABLE IF NOT EXISTS book (\n id INTEGER PRIMARY KEY,\n author TEXT NOT NULL,\n isbn TEXT,\n tip_id INTEGER REFERENCES readingtips)\n ''',\n\n '''\n CREATE TABLE IF NOT EXISTS blog (\n id INTEGER PRIMARY KEY,\n title TEXT,\n author TEXT NOT NULL,\n url TEXT NOT NULL,\n tip_id INTEGER REFERENCES readingtips)\n ''',\n\n '''\n CREATE TABLE IF NOT EXISTS podcast (\n id INTEGER PRIMARY KEY,\n episode TEXT NOT NULL,\n url TEXT,\n tip_id INTEGER REFERENCES readingtips)\n ''',\n\n '''\n CREATE TABLE IF NOT EXISTS video (\n id INTEGER PRIMARY KEY,\n url TEXT NOT NULL,\n author TEXT,\n tip_id INTEGER REFERENCES readingtips)\n '''\n ]\n for command in sql:\n database.execute(command)\n\nif __name__ == \"__main__\":\n clear_database()\n build_database()"}, {"role": "assistant", "content": " Functions: build_database\n This code demonstrates Pythoncode:Python programming."}]
| false
| null | null | null |
58d4b69ac732de51dfcea96b8bc8aed8e7463f9a
|
TheStack--python--010.parquet
|
Review this Pythoncode:Python code: from unittest.mock import Mock from georef_ar_etl.utils import FunctionStep, FirstResultStep from . import ETLTestCase class TestFunctionStep(ETLTestCase): _uses_db = False def test_fn(self): """El paso debería ejecutar la función especificada.""" fn = Mock() step = FunctionStep(fn=fn) step.run(None, self._ctx) fn.assert_called_once() class TestFirstResultStep(ETLTestCase): _uses_db = False def test_result(self): """El paso debería retornar el primer elemento de una lista.""" xs = ['foobar', 'quux'] result = FirstResultStep.run(xs, self._ctx) self.assertTrue(result is xs[0])
|
Code Review: ⚠️ Code quality: Unexpected indentation at line 11 Unexpected indentation at line 12 Unexpected indentation at line 13 Unexpected indentation at line 14 Unexpected indentation at line 22 Unexpected indentation at line 23 Unexpected indentation at line 24 ✨ Improvements: Add docstring to class 'TestFunctionStep' Add docstring to class 'TestFirstResultStep'
|
advanced
|
testing
|
code_review
|
Pythoncode:Python
| 2
| 2
| 676
| true
|
[{"role": "user", "content": "Review this Pythoncode:Python code:\nfrom unittest.mock import Mock\nfrom georef_ar_etl.utils import FunctionStep, FirstResultStep\nfrom . import ETLTestCase\n\n\nclass TestFunctionStep(ETLTestCase):\n _uses_db = False\n\n def test_fn(self):\n \"\"\"El paso deber\u00eda ejecutar la funci\u00f3n especificada.\"\"\"\n fn = Mock()\n step = FunctionStep(fn=fn)\n step.run(None, self._ctx)\n fn.assert_called_once()\n\n\nclass TestFirstResultStep(ETLTestCase):\n _uses_db = False\n\n def test_result(self):\n \"\"\"El paso deber\u00eda retornar el primer elemento de una lista.\"\"\"\n xs = ['foobar', 'quux']\n result = FirstResultStep.run(xs, self._ctx)\n self.assertTrue(result is xs[0])"}, {"role": "assistant", "content": " Code Review:\n\n\n\u26a0\ufe0f Code quality:\n Unexpected indentation at line 11\n Unexpected indentation at line 12\n Unexpected indentation at line 13\n Unexpected indentation at line 14\n Unexpected indentation at line 22\n Unexpected indentation at line 23\n Unexpected indentation at line 24\n\n\u2728 Improvements:\n Add docstring to class 'TestFunctionStep'\n Add docstring to class 'TestFirstResultStep'"}]
| false
| null | null | null |
58d72b6f479c2a799d3ed9542106382129e14217
|
TheStack--python--010.parquet
|
Explain this Pythoncode:Python code: from flask.ext.mongoengine import Document from flask.ext.security import UserMixin, RoleMixin import mongoengine as db class Role(Document, RoleMixin): name = db.StringField(max_length=80, unique=True) description = db.StringField(max_length=255) class Device(Document): name = db.StringField(max_length=127) identifier = db.StringField(max_length=255) active = db.BooleanField(default=True) class User(Document, UserMixin): email = db.StringField(max_length=255, unique=True) password = db.StringField(max_length=255) active = db.BooleanField(default=True) confirmed_at = db.DateTimeField() roles = db.ListField(db.ReferenceField(Role), default=[]) devices = db.ListField(db.ReferenceField(Device), default=[])
|
Classes: Role, Device, User This code demonstrates Pythoncode:Python programming.
|
advanced
|
machine_learning
|
code_explanation
|
Pythoncode:Python
| 0
| 3
| 763
| true
|
[{"role": "user", "content": "Explain this Pythoncode:Python code:\nfrom flask.ext.mongoengine import Document\nfrom flask.ext.security import UserMixin, RoleMixin\nimport mongoengine as db\n\n\nclass Role(Document, RoleMixin):\n name = db.StringField(max_length=80, unique=True)\n description = db.StringField(max_length=255)\n\n\nclass Device(Document):\n name = db.StringField(max_length=127)\n identifier = db.StringField(max_length=255)\n active = db.BooleanField(default=True)\n\n\nclass User(Document, UserMixin):\n email = db.StringField(max_length=255, unique=True)\n password = db.StringField(max_length=255)\n active = db.BooleanField(default=True)\n confirmed_at = db.DateTimeField()\n roles = db.ListField(db.ReferenceField(Role), default=[])\n devices = db.ListField(db.ReferenceField(Device), default=[])"}, {"role": "assistant", "content": " Classes: Role, Device, User\n This code demonstrates Pythoncode:Python programming."}]
| false
| null | null | null |
58d78d38475cd10b42132f8bdcaf7de19472e362
|
TheStack--python--010.parquet
|
Fix this broken Pythoncode:Python code: #!/usr/bin/env python # -*- coding: utf-8 -*- #import scikit learn and numpy libraries required for this code import glob import sys import numpy as np import os from sklearn.feature_extraction.text import * from sklearn.metrics.pairwise import cosine_similarity print 'Enter the path of folder:' doc_path=raw_input() files = glob.glob(doc_path) #stores paths of all files as a list tfidf_vectorizer = TfidfVectorizer('filename',stop_words='english',min_df=0.0,use_idf=True) #scikit function to make document vectors corpus_tfidf_matrix = tfidf_vectorizer.fit_transform(files) #scikit function to calculate tf-idf matrix tot_words=len(tfidf_vectorizer.vocabulary_) print 'Enter the path of query document:' qinp=raw_input() q=[qinp] test=tfidf_vectorizer.transform(q) #form the vector from query document test_qur= test.todense() test_qur_list=np.array(test_qur).tolist() query_vector = [0 for j in range(pow(2,tot_words))] corpus_tfidf_mat=corpus_tfidf_matrix.todense() #matrix form of tf-idf matrix calculated above minterm=[] #list to store minterm unit vectors corpus_tfidf=np.array(corpus_tfidf_mat).tolist() print(len(tfidf_vectorizer.vocabulary_)) for key,value in sorted(tfidf_vectorizer.vocabulary_.items()): #print the vocabulary of corpus print(key) print('--------------------------------------------------------------------------------------------') #Construct the minterms of GVSM vector space for i in corpus_tfidf: temp_l=i val=0 cn=0 for k in temp_l: if k > 0 : val=val+pow(2,cn) Error: SyntaxError / EOF
|
Fixed Code: #!/usr/bin/env python # -*- coding: utf-8 -*- #import scikit learn and numpy libraries required for this code import glob import sys import numpy as np import os from sklearn.feature_extraction.text import * from sklearn.metrics.pairwise import cosine_similarity print 'Enter the path of folder:' doc_path=raw_input() files = glob.glob(doc_path) #stores paths of all files as a list tfidf_vectorizer = TfidfVectorizer('filename',stop_words='english',min_df=0.0,use_idf=True) #scikit function to make document vectors corpus_tfidf_matrix = tfidf_vectorizer.fit_transform(files) #scikit function to calculate tf-idf matrix tot_words=len(tfidf_vectorizer.vocabulary_) Explanation: Complete the truncated code structure
|
intermediate
|
testing
|
error_fixing
|
Pythoncode:Python
| 0
| 0
| 1,524
| true
|
[{"role": "user", "content": "Fix this broken Pythoncode:Python code:\n#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n#import scikit learn and numpy libraries required for this code\nimport glob\nimport sys\nimport numpy as np\nimport os\nfrom sklearn.feature_extraction.text import *\nfrom sklearn.metrics.pairwise import cosine_similarity\n\nprint 'Enter the path of folder:'\ndoc_path=raw_input()\nfiles = glob.glob(doc_path)\t#stores paths of all files as a list\n\ntfidf_vectorizer = TfidfVectorizer('filename',stop_words='english',min_df=0.0,use_idf=True)\t#scikit function to make document vectors\ncorpus_tfidf_matrix = tfidf_vectorizer.fit_transform(files)\t#scikit function to calculate tf-idf matrix\n\n\ntot_words=len(tfidf_vectorizer.vocabulary_)\n\nprint 'Enter the path of query document:'\nqinp=raw_input()\nq=[qinp]\ntest=tfidf_vectorizer.transform(q)\t#form the vector from query document\ntest_qur= test.todense()\n\ntest_qur_list=np.array(test_qur).tolist()\nquery_vector = [0 for j in range(pow(2,tot_words))]\n\ncorpus_tfidf_mat=corpus_tfidf_matrix.todense()\t#matrix form of tf-idf matrix calculated above\n\nminterm=[]\t\t#list to store minterm unit vectors\n\ncorpus_tfidf=np.array(corpus_tfidf_mat).tolist()\n\nprint(len(tfidf_vectorizer.vocabulary_))\n\nfor key,value in sorted(tfidf_vectorizer.vocabulary_.items()):\t#print the vocabulary of corpus\n\tprint(key)\n\nprint('--------------------------------------------------------------------------------------------')\n\n#Construct the minterms of GVSM vector space\nfor i in corpus_tfidf:\n\n\ttemp_l=i\n\tval=0\n\tcn=0\n\n\tfor k in temp_l:\n\t\tif k > 0 :\t\n\t\t\tval=val+pow(2,cn)\n\n Error: SyntaxError / EOF"}, {"role": "assistant", "content": " Fixed Code:\n\n\n#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n#import scikit learn and numpy libraries required for this code\nimport glob\nimport sys\nimport numpy as np\nimport os\nfrom sklearn.feature_extraction.text import *\nfrom sklearn.metrics.pairwise import cosine_similarity\n\nprint 'Enter the path of folder:'\ndoc_path=raw_input()\nfiles = glob.glob(doc_path)\t#stores paths of all files as a list\n\ntfidf_vectorizer = TfidfVectorizer('filename',stop_words='english',min_df=0.0,use_idf=True)\t#scikit function to make document vectors\ncorpus_tfidf_matrix = tfidf_vectorizer.fit_transform(files)\t#scikit function to calculate tf-idf matrix\n\n\ntot_words=len(tfidf_vectorizer.vocabulary_)\n\n Explanation: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
58d7ac301502a02ae5174dc020aeaf796c3f9255
|
TheStack--python--010.parquet
|
Complete this incomplete Pythoncode:Python code: # vi: set shiftwidth=4 tabstop=4 expandtab: import datetime import itertools import heapq def get_points_from_lines(lines): moving_parts = dict() points = set() for i, line in enumerate(lines): for j, val in enumerate(line): pos = (i, j) if val == ".": points.add(pos) elif val in ("ABCD"): points.add(pos) moving_parts[pos] = val return points, moving_parts def get_points_from_file(file_path="day23_input.txt"): with open(file_path) as f: return get_points_from_lines([l.rstrip() for l in f]) def show_points(points, moving_parts): points_val = {p: "." for p in points} for pos, val in moving_parts.items(): assert pos in points_val points_val[pos] = val x_vals = [p[0] for p in points] y_vals = [p[1] for p in points] x_range = list(range(min(x_vals), 1 + max(x_vals))) y_range = list(range(min(y_vals), 1 + max(y_vals))) for x in x_range: print("".join(points_val.get((x, y), "#") for y in y_range), x) print("".join(str(y) for y in y_range)) print() def neighbours(p): x, y = p for delta in (-1, 1): yield x + delta, y yield x, y + delta def get_graph(points, moving_parts): free_points = points - moving_parts.keys() return {p: set(p2 for p2 in neighbours(p) if p2 in free_points) for p in points} ... code continues ...
|
Completion: Missing: Code truncated abruptly - unexpected end of file To complete: • Complete the truncated code structure Example continuation: def shortest_paths(graph, start): distances = dict() queue = [(0, start)]
|
advanced
|
testing
|
incomplete_code
|
Pythoncode:Python
| 8
| 0
| 1,425
| true
|
[{"role": "user", "content": "Complete this incomplete Pythoncode:Python code:\n# vi: set shiftwidth=4 tabstop=4 expandtab:\nimport datetime\nimport itertools\nimport heapq\n\n\ndef get_points_from_lines(lines):\n moving_parts = dict()\n points = set()\n for i, line in enumerate(lines):\n for j, val in enumerate(line):\n pos = (i, j)\n if val == \".\":\n points.add(pos)\n elif val in (\"ABCD\"):\n points.add(pos)\n moving_parts[pos] = val\n return points, moving_parts\n\n\ndef get_points_from_file(file_path=\"day23_input.txt\"):\n with open(file_path) as f:\n return get_points_from_lines([l.rstrip() for l in f])\n\n\ndef show_points(points, moving_parts):\n points_val = {p: \".\" for p in points}\n for pos, val in moving_parts.items():\n assert pos in points_val\n points_val[pos] = val\n x_vals = [p[0] for p in points]\n y_vals = [p[1] for p in points]\n x_range = list(range(min(x_vals), 1 + max(x_vals)))\n y_range = list(range(min(y_vals), 1 + max(y_vals)))\n for x in x_range:\n print(\"\".join(points_val.get((x, y), \"#\") for y in y_range), x)\n print(\"\".join(str(y) for y in y_range))\n print()\n\n\ndef neighbours(p):\n x, y = p\n for delta in (-1, 1):\n yield x + delta, y\n yield x, y + delta\n\n\ndef get_graph(points, moving_parts):\n free_points = points - moving_parts.keys()\n return {p: set(p2 for p2 in neighbours(p) if p2 in free_points) for p in points}\n\n ... code continues ..."}, {"role": "assistant", "content": " Completion:\n\n Missing: Code truncated abruptly - unexpected end of file\n\n To complete:\n \u2022 Complete the truncated code structure\n\n Example continuation:\n\n\ndef shortest_paths(graph, start):\n distances = dict()\n queue = [(0, start)]"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
58d9b7dc8e072d15f9e84c538b03fb4c3c99acd5
|
TheStack--python--010.parquet
|
Complete this incomplete Pythoncode:Python code: # The MIT License (MIT) # # Copyright (c) 2019 Chris J Daly (github user cjdaly) # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. import board, neopixel, displayio, terminalio # from adafruit_display_text import label def load_mapbmp(filename): f = open("/game/maps/" + filename + ".bmp", "rb") odb = displayio.OnDiskBitmap(f) tg=displayio.TileGrid(odb, pixel_shader=displayio.ColorConverter()) return tg def load_tilegrid(filename, w=16,h=16,tw=16,th=16): f = open("/game/art/" + filename + ".bmp", "rb") odb = displayio.OnDiskBitmap(f) tg=displayio.TileGrid(odb, pixel_shader=displayio.ColorConverter(), width=w, height=h, tile_width=tw, tile_height=th) return tg def TM(game,c): if c in game['terr']: return game['terr'][c] else: return 0 def load_map(game, mapname): game['map_tx']=[] i=0 with open("/game/maps/" + mapname + ".map") as f: for line in f: if line.startswith("?"): game['terr']={} j=0 for c in line[1:17]: game['terr'][c]=j j+=1 elif line.startswith("/"): game['map_tx'].append(line[1:17]) ... code continues ...
|
Completion: Missing: If block is incomplete - body missing To complete: • Add body to If block or use 'pass' statement Example continuation: i+=1 if 'map_tg' in game: for y in range(16): for x in range(16): game['map_tg'][x,y]=TM(game, game['map_tx'][y][x])
|
intermediate
|
ui
|
incomplete_code
|
Pythoncode:Python
| 5
| 0
| 2,127
| true
|
[{"role": "user", "content": "Complete this incomplete Pythoncode:Python code:\n# The MIT License (MIT)\n#\n# Copyright (c) 2019 Chris J Daly (github user cjdaly)\n#\n# Permission is hereby granted, free of charge, to any person obtaining a copy\n# of this software and associated documentation files (the \"Software\"), to deal\n# in the Software without restriction, including without limitation the rights\n# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n# copies of the Software, and to permit persons to whom the Software is\n# furnished to do so, subject to the following conditions:\n#\n# The above copyright notice and this permission notice shall be included in\n# all copies or substantial portions of the Software.\n#\n# THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n# THE SOFTWARE.\n\n\nimport board, neopixel, displayio, terminalio\n# from adafruit_display_text import label\n\ndef load_mapbmp(filename):\n f = open(\"/game/maps/\" + filename + \".bmp\", \"rb\")\n odb = displayio.OnDiskBitmap(f)\n tg=displayio.TileGrid(odb, pixel_shader=displayio.ColorConverter())\n return tg\n \ndef load_tilegrid(filename, w=16,h=16,tw=16,th=16):\n f = open(\"/game/art/\" + filename + \".bmp\", \"rb\")\n odb = displayio.OnDiskBitmap(f)\n tg=displayio.TileGrid(odb, pixel_shader=displayio.ColorConverter(), width=w, height=h, tile_width=tw, tile_height=th)\n return tg\n\ndef TM(game,c):\n if c in game['terr']:\n return game['terr'][c]\n else:\n return 0 \n\ndef load_map(game, mapname):\n game['map_tx']=[]\n i=0\n with open(\"/game/maps/\" + mapname + \".map\") as f:\n for line in f:\n if line.startswith(\"?\"):\n game['terr']={}\n j=0\n for c in line[1:17]:\n game['terr'][c]=j\n j+=1\n elif line.startswith(\"/\"):\n game['map_tx'].append(line[1:17])\n\n ... code continues ..."}, {"role": "assistant", "content": " Completion:\n\n Missing: If block is incomplete - body missing\n\n To complete:\n \u2022 Add body to If block or use 'pass' statement\n\n Example continuation:\n i+=1\n if 'map_tg' in game:\n for y in range(16):\n for x in range(16):\n game['map_tg'][x,y]=TM(game, game['map_tx'][y][x])"}]
| true
|
syntax
|
MID_BLOCK
|
HIGH
|
58d9e93173f4774e39f134f289837e0ae7a81bdd
|
TheStack--python--010.parquet
|
Debug this Pythoncode:Python code: import boto3 import datetime from dateutil.parser import parse import json import os from urllib import request CM_URL = "https://citymapper.com/api/1/gettrip?slug={}" CW_UPDATE_EVENT = os.environ.get("CW_UPDATE_EVENT") BUCKET_NAME = os.environ.get("BUCKET_NAME") ETA_KEY = os.environ.get("ETA_KEY") SLUG_KEY = os.environ.get("SLUG_KEY") s3 = boto3.resource("s3") events = boto3.client("events") def get_eta_minutes(slug): try: with request.urlopen(CM_URL.format(slug)) as response: doc = json.loads(response.read()) except: return -1 now = datetime.datetime.utcnow() now = now.replace(tzinfo=datetime.timezone.utc) if doc["status"] in {"arrived", "expired"}: return -1 eta = parse(doc["eta"]) minutes = (eta - now).total_seconds() / 60 return min(minutes, 45) def update_angle(minutes): if minutes == -1: angle = 0 else: angle = int(minutes * 2048 / 45) eta_object = s3.Object(BUCKET_NAME, ETA_KEY) eta_object_acl = s3.ObjectAcl(BUCKET_NAME, ETA_KEY) eta_object.put(Body=f"{angle}".encode("utf-8")) eta_object_acl.put(ACL="public-read") def lambda_handler(event, context): slug_object = s3.Object(BUCKET_NAME, SLUG_KEY) if event.get("queryStringParameters"): # This is a request via API Gateway, save the new slug slug = event["queryStringParameters"]["content"].split("/")[-1] slug_object.put(Body=slug.encode("utf-8")) # enable the update timer events.enable_rule(Name=CW_UPDATE_EVENT) else: # This is an update triggered by Cloudwatch events slug = slug_object.get()["Body"].read().decode("utf-8") minutes = get_eta_minutes(slug) if minutes == -1: # cancel the update timer events.disable_rule(Name=CW_UPDATE_EVENT) update_angle(minutes) return { "statusCode": 200, # Displayed as toast after successful share: "body": json.dumps("ETA successfully sent to clock!") }
|
Code analysis results: ⚠️ Warnings: Unexpected indentation at line 22 Unexpected indentation at line 24 Unexpected indentation at line 25 Unexpected indentation at line 26 💡 Suggestions: Add docstring to function 'get_eta_minutes' Add docstring to function 'update_angle' Add docstring to function 'lambda_handler'
|
intermediate
|
api
|
debugging
|
Pythoncode:Python
| 3
| 0
| 2,023
| true
|
[{"role": "user", "content": "Debug this Pythoncode:Python code:\nimport boto3\nimport datetime\nfrom dateutil.parser import parse\nimport json\nimport os\nfrom urllib import request\n\nCM_URL = \"https://citymapper.com/api/1/gettrip?slug={}\"\nCW_UPDATE_EVENT = os.environ.get(\"CW_UPDATE_EVENT\")\nBUCKET_NAME = os.environ.get(\"BUCKET_NAME\")\nETA_KEY = os.environ.get(\"ETA_KEY\")\nSLUG_KEY = os.environ.get(\"SLUG_KEY\")\n\ns3 = boto3.resource(\"s3\")\nevents = boto3.client(\"events\")\n\n\ndef get_eta_minutes(slug):\n try:\n with request.urlopen(CM_URL.format(slug)) as response:\n doc = json.loads(response.read())\n except:\n return -1\n now = datetime.datetime.utcnow()\n now = now.replace(tzinfo=datetime.timezone.utc)\n if doc[\"status\"] in {\"arrived\", \"expired\"}:\n return -1\n eta = parse(doc[\"eta\"])\n minutes = (eta - now).total_seconds() / 60\n return min(minutes, 45)\n\n\ndef update_angle(minutes):\n if minutes == -1:\n angle = 0\n else:\n angle = int(minutes * 2048 / 45)\n\n eta_object = s3.Object(BUCKET_NAME, ETA_KEY)\n eta_object_acl = s3.ObjectAcl(BUCKET_NAME, ETA_KEY)\n\n eta_object.put(Body=f\"{angle}\".encode(\"utf-8\"))\n eta_object_acl.put(ACL=\"public-read\")\n\n\ndef lambda_handler(event, context):\n slug_object = s3.Object(BUCKET_NAME, SLUG_KEY)\n\n if event.get(\"queryStringParameters\"):\n # This is a request via API Gateway, save the new slug\n slug = event[\"queryStringParameters\"][\"content\"].split(\"/\")[-1]\n slug_object.put(Body=slug.encode(\"utf-8\"))\n\n # enable the update timer\n events.enable_rule(Name=CW_UPDATE_EVENT)\n else:\n # This is an update triggered by Cloudwatch events\n slug = slug_object.get()[\"Body\"].read().decode(\"utf-8\")\n\n minutes = get_eta_minutes(slug)\n\n if minutes == -1:\n # cancel the update timer\n events.disable_rule(Name=CW_UPDATE_EVENT)\n\n update_angle(minutes)\n\n return {\n \"statusCode\": 200,\n # Displayed as toast after successful share:\n \"body\": json.dumps(\"ETA successfully sent to clock!\")\n }"}, {"role": "assistant", "content": " Code analysis results:\n\n\n\u26a0\ufe0f Warnings:\n Unexpected indentation at line 22\n Unexpected indentation at line 24\n Unexpected indentation at line 25\n Unexpected indentation at line 26\n\n\ud83d\udca1 Suggestions:\n Add docstring to function 'get_eta_minutes'\n Add docstring to function 'update_angle'\n Add docstring to function 'lambda_handler'"}]
| false
| null | null | null |
58dbb438233f13d6a438ce4dcd9f41f81be14c00
|
TheStack--python--010.parquet
|
Find all errors in this Pythoncode:Python code: # -*- coding: utf-8 -*-
|
Error Analysis: Error Type: UNKNOWN Error: Unknown error Detected Errors: • Code truncated in middle of expression - unexpected EOF
|
beginner
|
general
|
error_detection
|
Pythoncode:Python
| 0
| 0
| 24
| false
|
[{"role": "user", "content": "Find all errors in this Pythoncode:Python code:\n# -*- coding: utf-8 -*-"}, {"role": "assistant", "content": " Error Analysis:\n\n Error Type: UNKNOWN\n Error: Unknown error\n\n Detected Errors:\n \u2022 Code truncated in middle of expression - unexpected EOF"}]
| true
|
syntax
|
UNKNOWN
|
UNKNOWN
|
58dc536fe6c6b3a84f53159f1845ae55e0588f47
|
TheStack--python--010.parquet
|
Fix this broken Pythoncode:Python code: """functions for working with tensorboard""" from pathlib import Path import pandas as pd from tensorboard.backend.event_processing.event_accumulator import EventAccumulator def logdir2df(logdir): """convert tensorboard events files in a logs directory into a pandas DataFrame events files are created by SummaryWriter from PyTorch or Tensorflow Parameters ---------- logdir : str, Path path to directory containing tfevents file(s) saved by a SummaryWriter Returns ------- df : pandas.Dataframe with columns 'step', 'wall_time', and all Scalars from the tfevents file Notes ----- adapted from https://stackoverflow.com/questions/42355122/can-i-export-a-tensorflow-summary-to-csv Error: IndentationError / Incomplete Function
|
Fixed Code: """functions for working with tensorboard""" from pathlib import Path import pandas as pd from tensorboard.backend.event_processing.event_accumulator import EventAccumulator def logdir2df(logdir): """convert tensorboard events files in a logs directory into a pandas DataFrame events files are created by SummaryWriter from PyTorch or Tensorflow Parameters ---------- logdir : str, Path path to directory containing tfevents file(s) saved by a SummaryWriter Returns ------- df : pandas.Dataframe Explanation: Complete the function 'logdir2df' body and add missing return
|
intermediate
|
api
|
error_fixing
|
Pythoncode:Python
| 2
| 0
| 750
| true
|
[{"role": "user", "content": "Fix this broken Pythoncode:Python code:\n\"\"\"functions for working with tensorboard\"\"\"\nfrom pathlib import Path\n\nimport pandas as pd\nfrom tensorboard.backend.event_processing.event_accumulator import EventAccumulator\n\n\ndef logdir2df(logdir):\n \"\"\"convert tensorboard events files in a logs directory into a pandas DataFrame\n\n events files are created by SummaryWriter from PyTorch or Tensorflow\n\n Parameters\n ----------\n logdir : str, Path\n path to directory containing tfevents file(s) saved by a SummaryWriter\n\n Returns\n -------\n df : pandas.Dataframe\n with columns 'step', 'wall_time', and all Scalars from the tfevents file\n\n Notes\n -----\n adapted from\n https://stackoverflow.com/questions/42355122/can-i-export-a-tensorflow-summary-to-csv\n\n Error: IndentationError / Incomplete Function"}, {"role": "assistant", "content": " Fixed Code:\n\n\n\"\"\"functions for working with tensorboard\"\"\"\nfrom pathlib import Path\n\nimport pandas as pd\nfrom tensorboard.backend.event_processing.event_accumulator import EventAccumulator\n\n\ndef logdir2df(logdir):\n \"\"\"convert tensorboard events files in a logs directory into a pandas DataFrame\n\n events files are created by SummaryWriter from PyTorch or Tensorflow\n\n Parameters\n ----------\n logdir : str, Path\n path to directory containing tfevents file(s) saved by a SummaryWriter\n\n Returns\n -------\n df : pandas.Dataframe\n\n Explanation: Complete the function 'logdir2df' body and add missing return"}]
| true
|
syntax
|
MID_FUNCTION
|
HIGH
|
58dc8b85c4b291df75730045c78ef9ca7e7095df
|
TheStack--python--010.parquet
|
Fix this broken Pythoncode:Python code: def request_app_setup(hass, config, pc, add_devices, discovery_info=None): """Request configuration steps from the user.""" from personalcapital import PersonalCapital, RequireTwoFactorException, TwoFactorVerificationModeEnum configurator = hass.components.configurator def personalcapital_configuration_callback(data): """Run when the configuration callback is called.""" from personalcapital import PersonalCapital, RequireTwoFactorException, TwoFactorVerificationModeEnum pc.two_factor_authenticate(TwoFactorVerificationModeEnum.SMS, data.get('verification_code')) result = pc.authenticate_password(config.get(CONF_PASSWORD)) if result == RequireTwoFactorException: configurator.notify_errors(_CONFIGURING['personalcapital'], "Invalid verification code") else: save_session(hass, pc.get_session()) continue_setup_platform(hass, config, pc, add_devices, discovery_info) if 'personalcapital' not in _CONFIGURING: try: pc.login(config.get(CONF_EMAIL), config.get(CONF_PASSWORD)) except RequireTwoFactorException: pc.two_factor_challenge(TwoFactorVerificationModeEnum.SMS) _CONFIGURING['personalcapital'] = configurator.request_config( 'Personal Capital', personalcapital_configuration_callback, description="Verification code sent to phone", submit_caption='Verify', fields=[{ 'id': 'verification_code', 'name': "Verification code", 'type': 'string'}] ) def load_session(hass): try: with open(hass.config.path(SESSION_FILE)) as data_file: cookies = {} try: cookies = json.load(data_file) except ValueError as err: return {} return cookies except IOError as err: return {} def save_session(hass, session): Error: SyntaxError / EOF
|
Fixed Code: def request_app_setup(hass, config, pc, add_devices, discovery_info=None): """Request configuration steps from the user.""" from personalcapital import PersonalCapital, RequireTwoFactorException, TwoFactorVerificationModeEnum configurator = hass.components.configurator def personalcapital_configuration_callback(data): """Run when the configuration callback is called.""" from personalcapital import PersonalCapital, RequireTwoFactorException, TwoFactorVerificationModeEnum pc.two_factor_authenticate(TwoFactorVerificationModeEnum.SMS, data.get('verification_code')) result = pc.authenticate_password(config.get(CONF_PASSWORD)) if result == RequireTwoFactorException: configurator.notify_errors(_CONFIGURING['personalcapital'], "Invalid verification code") else: save_session(hass, pc.get_session()) continue_setup_platform(hass, config, pc, add_devices, discovery_info) if 'personalcapital' not in _CONFIGURING: try: pc.login(config.get(CONF_EMAIL), config.get(CONF_PASSWORD)) Explanation: Complete the truncated code structure
|
intermediate
|
api
|
error_fixing
|
Pythoncode:Python
| 5
| 0
| 1,946
| true
|
[{"role": "user", "content": "Fix this broken Pythoncode:Python code:\ndef request_app_setup(hass, config, pc, add_devices, discovery_info=None):\n \"\"\"Request configuration steps from the user.\"\"\"\n from personalcapital import PersonalCapital, RequireTwoFactorException, TwoFactorVerificationModeEnum\n configurator = hass.components.configurator\n\n def personalcapital_configuration_callback(data):\n \"\"\"Run when the configuration callback is called.\"\"\"\n from personalcapital import PersonalCapital, RequireTwoFactorException, TwoFactorVerificationModeEnum\n pc.two_factor_authenticate(TwoFactorVerificationModeEnum.SMS, data.get('verification_code'))\n result = pc.authenticate_password(config.get(CONF_PASSWORD))\n\n if result == RequireTwoFactorException:\n configurator.notify_errors(_CONFIGURING['personalcapital'], \"Invalid verification code\")\n else:\n save_session(hass, pc.get_session())\n continue_setup_platform(hass, config, pc, add_devices, discovery_info)\n\n if 'personalcapital' not in _CONFIGURING:\n try:\n pc.login(config.get(CONF_EMAIL), config.get(CONF_PASSWORD))\n except RequireTwoFactorException:\n pc.two_factor_challenge(TwoFactorVerificationModeEnum.SMS)\n\n _CONFIGURING['personalcapital'] = configurator.request_config(\n 'Personal Capital',\n personalcapital_configuration_callback,\n description=\"Verification code sent to phone\",\n submit_caption='Verify',\n fields=[{\n 'id': 'verification_code',\n 'name': \"Verification code\",\n 'type': 'string'}]\n )\n\ndef load_session(hass):\n try:\n with open(hass.config.path(SESSION_FILE)) as data_file: \n cookies = {}\n try:\n cookies = json.load(data_file)\n except ValueError as err:\n return {}\n return cookies\n except IOError as err:\n return {}\n\ndef save_session(hass, session):\n\n Error: SyntaxError / EOF"}, {"role": "assistant", "content": " Fixed Code:\n\n\ndef request_app_setup(hass, config, pc, add_devices, discovery_info=None):\n \"\"\"Request configuration steps from the user.\"\"\"\n from personalcapital import PersonalCapital, RequireTwoFactorException, TwoFactorVerificationModeEnum\n configurator = hass.components.configurator\n\n def personalcapital_configuration_callback(data):\n \"\"\"Run when the configuration callback is called.\"\"\"\n from personalcapital import PersonalCapital, RequireTwoFactorException, TwoFactorVerificationModeEnum\n pc.two_factor_authenticate(TwoFactorVerificationModeEnum.SMS, data.get('verification_code'))\n result = pc.authenticate_password(config.get(CONF_PASSWORD))\n\n if result == RequireTwoFactorException:\n configurator.notify_errors(_CONFIGURING['personalcapital'], \"Invalid verification code\")\n else:\n save_session(hass, pc.get_session())\n continue_setup_platform(hass, config, pc, add_devices, discovery_info)\n\n if 'personalcapital' not in _CONFIGURING:\n try:\n pc.login(config.get(CONF_EMAIL), config.get(CONF_PASSWORD))\n\n Explanation: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
58dcbc0d1f54217aa84fe798745ed214cf049a05
|
TheStack--python--010.parquet
|
Review this Pythoncode:Python code: # ------------------------------------------------------------------------ # 3D Deformable Self-attention # ------------------------------------------------------------------------ # Modified from Deformable DETR # Copyright (c) 2020 SenseTime. All Rights Reserved. # Licensed under the Apache License, Version 2.0 [see LICENSE for details] # ------------------------------------------------------------------------ from __future__ import absolute_import from __future__ import print_function from __future__ import division import warnings import math import torch from torch import nn import torch.nn.functional as F from torch.nn.init import xavier_uniform_, constant_ from ..functions.ms_deform_attn_func import ms_deform_attn_core_pytorch_3D class MSDeformAttn(nn.Module): def __init__(self, d_model=256, n_levels=4, n_heads=8, n_points=4): """ Multi-Scale Deformable Attention Module :param d_model hidden dimension :param n_levels number of feature levels :param n_heads number of attention heads :param n_points number of sampling points per attention head per feature level """ super().__init__() if d_model % n_heads != 0: raise ValueError('d_model must be divisible by n_heads, but got {} and {}'.format(d_model, n_heads)) _d_per_head = d_model // n_heads self.im2col_step = 64 self.d_model = d_model self.n_levels = n_levels self.n_heads = n_heads self.n_points = n_points self.sampling_offsets = nn.Linear(d_model, n_heads * n_levels * n_points * 3) self.attention_weights = nn.Linear(d_model, n_heads * n_levels * n_points) self.value_proj = nn.Linear(d_model, d_model) self.output_proj = nn.Linear(d_model, d_model) self._reset_parameters() def _reset_parameters(self): constant_(self.sampling_offsets.weight.data, 0.) thetas = torch.arange(self.n_heads, dtype=torch.float32) * (2.0 * math.pi / self.n_heads) grid_init = torch.stack([thetas.cos(), thetas.sin()*thetas.cos(), thetas.sin()*thetas.sin()], -1) grid_init = (grid_init / grid_init.abs().max(-1, keepdim=True)[0]).view(self.n_heads, 1, 1, 3).repeat(1, self.n_levels, self.n_points, 1) for i in range(self.n_points): grid_init[:, :, i, :] *= i + 1 with torch.no_grad(): self.sampling_offsets.bias = nn.Parameter(grid_init.view(-1)) constant_(self.attention_weights.weight.data, 0.) constant_(self.attention_weights.bias.data, 0.) xavier_uniform_(self.value_proj.weight.data) constant_(self.value_proj.bias.data, 0.) xavier_uniform_(self.output_proj.weight.data) constant_(self.output_proj.bias.data, 0.) ... [1 more functiondefs truncated] ...
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Code Review: ❌ Critical issues: Code truncated in middle of expression - unexpected EOF Unterminated string literal at line 23 Invalid syntax at line 66: ... [1 more functiondefs truncated] ... ⚠️ Code quality: Unexpected indentation at line 24 Unexpected indentation at line 25 Unexpected indentation at line 26 Unexpected indentation at line 27 Unexpected indentation at line 28 Unexpected indentation at line 29 Unexpected indentation at line 30 Unexpected indentation at line 31 Unexpected indentation at line 33 Unexpected indentation at line 38 Unexpected indentation at line 39 Unexpected indentation at line 40 Unexpected indentation at line 43 Unexpected indentation at line 44 Unexpected indentation at line 45 Unexpected indentation at line 51 Unexpected indentation at line 52 Unexpected indentation at line 53 Unexpected indentation at line 54 Unexpected indentation at line 56 Unexpected indentation at line 58 Unexpected indentation at line 59 Unexpected indentation at line 60 Unexpected indentation at line 61 Unexpected indentation at line 62 Unexpected indentation at line 63 ✨ Improvements: Complete the expression on the last line Add closing quote at line 23 Review syntax near the error location
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[{"role": "user", "content": "Review this Pythoncode:Python code:\n# ------------------------------------------------------------------------\n# 3D Deformable Self-attention\n# ------------------------------------------------------------------------\n# Modified from Deformable DETR\n# Copyright (c) 2020 SenseTime. All Rights Reserved.\n# Licensed under the Apache License, Version 2.0 [see LICENSE for details]\n# ------------------------------------------------------------------------\n\nfrom __future__ import absolute_import\nfrom __future__ import print_function\nfrom __future__ import division\n\nimport warnings\nimport math\nimport torch\nfrom torch import nn\nimport torch.nn.functional as F\nfrom torch.nn.init import xavier_uniform_, constant_\nfrom ..functions.ms_deform_attn_func import ms_deform_attn_core_pytorch_3D\n\nclass MSDeformAttn(nn.Module):\n def __init__(self, d_model=256, n_levels=4, n_heads=8, n_points=4):\n \"\"\"\n Multi-Scale Deformable Attention Module\n :param d_model hidden dimension\n :param n_levels number of feature levels\n :param n_heads number of attention heads\n :param n_points number of sampling points per attention head per feature level\n \"\"\"\n super().__init__()\n if d_model % n_heads != 0:\n raise ValueError('d_model must be divisible by n_heads, but got {} and {}'.format(d_model, n_heads))\n _d_per_head = d_model // n_heads\n\n self.im2col_step = 64\n\n self.d_model = d_model\n self.n_levels = n_levels\n self.n_heads = n_heads\n self.n_points = n_points\n\n self.sampling_offsets = nn.Linear(d_model, n_heads * n_levels * n_points * 3)\n self.attention_weights = nn.Linear(d_model, n_heads * n_levels * n_points)\n self.value_proj = nn.Linear(d_model, d_model)\n self.output_proj = nn.Linear(d_model, d_model)\n\n self._reset_parameters()\n\n def _reset_parameters(self):\n constant_(self.sampling_offsets.weight.data, 0.)\n thetas = torch.arange(self.n_heads, dtype=torch.float32) * (2.0 * math.pi / self.n_heads)\n grid_init = torch.stack([thetas.cos(), thetas.sin()*thetas.cos(), thetas.sin()*thetas.sin()], -1)\n grid_init = (grid_init / grid_init.abs().max(-1, keepdim=True)[0]).view(self.n_heads, 1, 1, 3).repeat(1, self.n_levels, self.n_points, 1)\n for i in range(self.n_points):\n grid_init[:, :, i, :] *= i + 1\n with torch.no_grad():\n self.sampling_offsets.bias = nn.Parameter(grid_init.view(-1))\n constant_(self.attention_weights.weight.data, 0.)\n constant_(self.attention_weights.bias.data, 0.)\n xavier_uniform_(self.value_proj.weight.data)\n constant_(self.value_proj.bias.data, 0.)\n xavier_uniform_(self.output_proj.weight.data)\n constant_(self.output_proj.bias.data, 0.)\n\n\n ... [1 more functiondefs truncated] ..."}, {"role": "assistant", "content": " Code Review:\n\n\n\u274c Critical issues:\n Code truncated in middle of expression - unexpected EOF\n Unterminated string literal at line 23\n Invalid syntax at line 66: ... [1 more functiondefs truncated] ...\n\n\n\u26a0\ufe0f Code quality:\n Unexpected indentation at line 24\n Unexpected indentation at line 25\n Unexpected indentation at line 26\n Unexpected indentation at line 27\n Unexpected indentation at line 28\n Unexpected indentation at line 29\n Unexpected indentation at line 30\n Unexpected indentation at line 31\n Unexpected indentation at line 33\n Unexpected indentation at line 38\n Unexpected indentation at line 39\n Unexpected indentation at line 40\n Unexpected indentation at line 43\n Unexpected indentation at line 44\n Unexpected indentation at line 45\n Unexpected indentation at line 51\n Unexpected indentation at line 52\n Unexpected indentation at line 53\n Unexpected indentation at line 54\n Unexpected indentation at line 56\n Unexpected indentation at line 58\n Unexpected indentation at line 59\n Unexpected indentation at line 60\n Unexpected indentation at line 61\n Unexpected indentation at line 62\n Unexpected indentation at line 63\n\n\u2728 Improvements:\n Complete the expression on the last line\n Add closing quote at line 23\n Review syntax near the error location"}]
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