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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Complete this incomplete Python code:
from rest_framework_gis import serializers
from rest_framework import serializers as s
from .models import (
def get_label(code="", label=""):
if code is None:
code = "-"
if label is None:
label = "inconnu"
return f"{code} {label[:30]}"
class Artificialisee2015to2018Serializer(serializers.GeoFeatureModelSerializer):
usage_2015 = s.SerializerMethodField()
usage_2018 = s.SerializerMethodField()
couverture_2015 = s.SerializerMethodField()
couverture_2018 = s.SerializerMethodField()
def get_usage_2015(self, obj):
return get_label(code=obj.us_2015, label=obj.us_2015_label)
def get_usage_2018(self, obj):
return get_label(code=obj.us_2018, label=obj.us_2018_label)
def get_couverture_2015(self, obj):
return get_label(code=obj.cs_2015, label=obj.cs_2015_label)
def get_couverture_2018(self, obj):
return get_label(code=obj.cs_2018, label=obj.cs_2018_label)
class Meta:
fields = (
"id",
"surface",
"usage_2015",
"usage_2018",
"couverture_2015",
"couverture_2018",
)
geo_field = "mpoly"
model = Artificialisee2015to2018
class Artificielle2018Serializer(serializers.GeoFeatureModelSerializer):
couverture = s.SerializerMethodField()
def get_couverture(self, obj):
return get_label(code=obj.couverture, label=obj.couverture_label)
class Meta:
fields = (
"id",
"surface",
"couverture",
)
geo_field = "mpoly"
model = Artificielle2018
class CommunesSybarvalSerializer(serializers.GeoFeatureModelSerializer):
"""Marker GeoJSON serializer."""
class Meta:
"""Marker serializer meta class."""
fields = (
"nom",
"code_insee",
"surface",
)
geo_field = "mpoly"
model = CommunesSybarval
class EnveloppeUrbaine2018Serializer(serializers.GeoFeatureModelSerializer):
couverture = s.SerializerMethodField()
def get_couverture(self, obj):
return get_label(code=obj.couverture, label=obj.couverture_label)
class Meta:
fields = (
"id",
"couverture",
"surface",
)
geo_field = "mpoly"
model = EnveloppeUrbaine2018
class OcsgeSerializer(serializers.GeoFeatureModelSerializer):
couverture = s.SerializerMethodField()
usage = s.SerializerMethodField()
def get_couverture(self, obj):
return get_label(code=obj.couverture, label=obj.couverture_label)
def get_usage(self, obj):
return get_label(code=obj.usage, label=obj.usage_label)
... code continues ...
|
Completion:
Missing: Function incomplete
To complete:
• Complete the function definition
Example continuation:
class Meta:
fields = (
"id",
"couverture",
"usage",
|
advanced
|
machine_learning
|
incomplete_code
|
Python
| 9
| 10
| 2,721
| true
|
[{"role": "user", "content": "Complete this incomplete Python code:\nfrom rest_framework_gis import serializers\nfrom rest_framework import serializers as s\n\nfrom .models import (\ndef get_label(code=\"\", label=\"\"):\n if code is None:\n code = \"-\"\n if label is None:\n label = \"inconnu\"\n return f\"{code} {label[:30]}\"\n\n\nclass Artificialisee2015to2018Serializer(serializers.GeoFeatureModelSerializer):\n usage_2015 = s.SerializerMethodField()\n usage_2018 = s.SerializerMethodField()\n couverture_2015 = s.SerializerMethodField()\n couverture_2018 = s.SerializerMethodField()\n\n def get_usage_2015(self, obj):\n return get_label(code=obj.us_2015, label=obj.us_2015_label)\n\n def get_usage_2018(self, obj):\n return get_label(code=obj.us_2018, label=obj.us_2018_label)\n\n def get_couverture_2015(self, obj):\n return get_label(code=obj.cs_2015, label=obj.cs_2015_label)\n\n def get_couverture_2018(self, obj):\n return get_label(code=obj.cs_2018, label=obj.cs_2018_label)\n\n class Meta:\n fields = (\n \"id\",\n \"surface\",\n \"usage_2015\",\n \"usage_2018\",\n \"couverture_2015\",\n \"couverture_2018\",\n )\n geo_field = \"mpoly\"\n model = Artificialisee2015to2018\n\n\nclass Artificielle2018Serializer(serializers.GeoFeatureModelSerializer):\n couverture = s.SerializerMethodField()\n\n def get_couverture(self, obj):\n return get_label(code=obj.couverture, label=obj.couverture_label)\n\n class Meta:\n fields = (\n \"id\",\n \"surface\",\n \"couverture\",\n )\n geo_field = \"mpoly\"\n model = Artificielle2018\n\n\nclass CommunesSybarvalSerializer(serializers.GeoFeatureModelSerializer):\n \"\"\"Marker GeoJSON serializer.\"\"\"\n\n class Meta:\n \"\"\"Marker serializer meta class.\"\"\"\n\n fields = (\n \"nom\",\n \"code_insee\",\n \"surface\",\n )\n geo_field = \"mpoly\"\n model = CommunesSybarval\n\n\nclass EnveloppeUrbaine2018Serializer(serializers.GeoFeatureModelSerializer):\n couverture = s.SerializerMethodField()\n\n def get_couverture(self, obj):\n return get_label(code=obj.couverture, label=obj.couverture_label)\n\n class Meta:\n fields = (\n \"id\",\n \"couverture\",\n \"surface\",\n )\n geo_field = \"mpoly\"\n model = EnveloppeUrbaine2018\n\n\nclass OcsgeSerializer(serializers.GeoFeatureModelSerializer):\n couverture = s.SerializerMethodField()\n usage = s.SerializerMethodField()\n\n def get_couverture(self, obj):\n return get_label(code=obj.couverture, label=obj.couverture_label)\n\n def get_usage(self, obj):\n return get_label(code=obj.usage, label=obj.usage_label)\n\n\n... code continues ..."}, {"role": "assistant", "content": "Completion:\n\nMissing: Function incomplete\n\nTo complete:\n \u2022 Complete the function definition\n\n Example continuation:\n class Meta:\n fields = (\n \"id\",\n \"couverture\",\n \"usage\","}]
| true
|
syntax
|
MID_FUNCTION
|
HIGH
|
d99a1e98eccb58cbc0c0cef6e9e6702f33461b0e
|
TheStack--python--000.parquet
|
Fix this broken Python code:
from django.contrib import admin
from .models import SearchResult
# Register your models here.
class SearchResultAdmin(admin.ModelAdmin):
Error: HARD_CUT
|
Fixed Code:
from django.contrib import admin
from .models import SearchResult
# Register your models here.
class SearchResultAdmin(admin.ModelAdmin):
fields = ["query", "heading", "url", "text"]
admin.site.register(SearchResult, SearchResultAdmin)
Explanation: Complete the truncated code structure
|
intermediate
|
database
|
error_fixing
|
Python
| 0
| 1
| 138
| true
|
[{"role": "user", "content": "Fix this broken Python code:\nfrom django.contrib import admin\nfrom .models import SearchResult\n\n# Register your models here.\nclass SearchResultAdmin(admin.ModelAdmin):\n\nError: HARD_CUT"}, {"role": "assistant", "content": "Fixed Code:\n\n\nfrom django.contrib import admin\nfrom .models import SearchResult\n\n# Register your models here.\nclass SearchResultAdmin(admin.ModelAdmin):\n fields = [\"query\", \"heading\", \"url\", \"text\"]\n\nadmin.site.register(SearchResult, SearchResultAdmin)\n\nExplanation: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
d99a20277c32bb1e28312f42ab6d732f38323169
|
TheStack--python--000.parquet
|
Complete this incomplete Python code:
import asyncio
import os
import tempfile
from contextlib import ExitStack
from typing import Text, Optional, List, Union, Dict
from rasa.importers.importer import TrainingDataImporter
from rasa import model
from rasa.model import FingerprintComparisonResult
... code continues ...
|
Completion:
Missing: Incomplete logical block
To complete:
• Complete the control flow structure
Example continuation:
from rasa.core.domain import Domain
from rasa.utils.common import TempDirectoryPath
from rasa.cli.utils import (
|
intermediate
|
machine_learning
|
incomplete_code
|
Python
| 0
| 0
| 258
| true
|
[{"role": "user", "content": "Complete this incomplete Python code:\nimport asyncio\nimport os\nimport tempfile\nfrom contextlib import ExitStack\nfrom typing import Text, Optional, List, Union, Dict\n\nfrom rasa.importers.importer import TrainingDataImporter\nfrom rasa import model\nfrom rasa.model import FingerprintComparisonResult\n\n... code continues ..."}, {"role": "assistant", "content": "Completion:\n\nMissing: Incomplete logical block\n\nTo complete:\n \u2022 Complete the control flow structure\n\n Example continuation:\nfrom rasa.core.domain import Domain\nfrom rasa.utils.common import TempDirectoryPath\n\nfrom rasa.cli.utils import (\n"}]
| true
|
syntax
|
INCOMPLETE_LOGIC
|
HIGH
|
d99b5ab0ec594ac30b1d197b23a5cda7c48151d5
|
TheStack--python--000.parquet
|
Repair the syntax errors in this Python code:
class Solution:
def finalPrices(self, prices: List[int]) -> List[int]:
res = []
for i in range(len(prices)):
for j in range(i+1,len(prices)):
if prices[j]<=prices[i]:
res.append(prices[i]-prices[j])
break
|
Syntax Analysis:
Fixes:
• Code syntax is valid
• Add docstring to class 'Solution'
• Consider adding unit tests
|
intermediate
|
oop
|
syntax_repair
|
Python
| 1
| 1
| 292
| false
|
[{"role": "user", "content": "Repair the syntax errors in this Python code:\nclass Solution:\n def finalPrices(self, prices: List[int]) -> List[int]:\n res = []\n for i in range(len(prices)):\n for j in range(i+1,len(prices)):\n if prices[j]<=prices[i]:\n res.append(prices[i]-prices[j])\n break"}, {"role": "assistant", "content": "Syntax Analysis:\n\n\nFixes:\n \u2022 Code syntax is valid\n \u2022 Add docstring to class 'Solution'\n \u2022 Consider adding unit tests"}]
| true
|
syntax
|
MISSING_BRACKETS
|
HIGH
|
d99e8a9a95f28da6c2d4d1ee42e95a270ab08977
|
TheStack--python--000.parquet
|
Fix this broken Python code:
# ============================================================================
# FILE: default.py
# AUTHOR: Shougo Matsushita <Shougo.Matsu at gmail.com>
# License: MIT license
# ============================================================================
import re
import typing
from denite.util import echo, error, clearmatch, regex_convert_py_vim
from denite.util import Nvim, UserContext, Candidates, Candidate
from denite.parent import SyncParent
class Default(object):
@property
def is_async(self) -> bool:
return self._is_async
def __init__(self, vim: Nvim) -> None:
self._vim = vim
self._denite: typing.Optional[SyncParent] = None
self._selected_candidates: typing.List[int] = []
self._candidates: Candidates = []
self._cursor = 0
self._entire_len = 0
self._result: typing.List[typing.Any] = []
self._context: UserContext = {}
self._bufnr = -1
self._winid = -1
self._winrestcmd = ''
self._initialized = False
self._winheight = 0
self._winwidth = 0
self._winminheight = -1
self._is_multi = False
self._is_async = False
self._matched_pattern = ''
self._displayed_texts: typing.List[str] = []
self._statusline_sources = ''
self._titlestring = ''
self._ruler = False
self._prev_action = ''
self._prev_status: typing.Dict[str, typing.Any] = {}
self._prev_curpos: typing.List[typing.Any] = []
self._save_window_options: typing.Dict[str, typing.Any] = {}
self._sources_history: typing.List[typing.Any] = []
self._previous_text = ''
self._floating = False
self._filter_floating = False
self._updated = False
self._timers: typing.Dict[str, int] = {}
self._matched_range_id = -1
self._matched_char_id = -1
self._check_matchdelete = bool(self._vim.call(
'denite#util#check_matchdelete'))
Error: HARD_CUT
|
Fixed Code:
# ============================================================================
# FILE: default.py
# AUTHOR: Shougo Matsushita <Shougo.Matsu at gmail.com>
# License: MIT license
# ============================================================================
import re
import typing
from denite.util import echo, error, clearmatch, regex_convert_py_vim
from denite.util import Nvim, UserContext, Candidates, Candidate
from denite.parent import SyncParent
class Default(object):
@property
def is_async(self) -> bool:
return self._is_async
def __init__(self, vim: Nvim) -> None:
Explanation: Complete the truncated code structure
|
advanced
|
machine_learning
|
error_fixing
|
Python
| 3
| 1
| 2,002
| true
|
[{"role": "user", "content": "Fix this broken Python code:\n# ============================================================================\n# FILE: default.py\n# AUTHOR: Shougo Matsushita <Shougo.Matsu at gmail.com>\n# License: MIT license\n# ============================================================================\n\nimport re\nimport typing\n\nfrom denite.util import echo, error, clearmatch, regex_convert_py_vim\nfrom denite.util import Nvim, UserContext, Candidates, Candidate\nfrom denite.parent import SyncParent\n\n\nclass Default(object):\n @property\n def is_async(self) -> bool:\n return self._is_async\n\n def __init__(self, vim: Nvim) -> None:\n self._vim = vim\n self._denite: typing.Optional[SyncParent] = None\n self._selected_candidates: typing.List[int] = []\n self._candidates: Candidates = []\n self._cursor = 0\n self._entire_len = 0\n self._result: typing.List[typing.Any] = []\n self._context: UserContext = {}\n self._bufnr = -1\n self._winid = -1\n self._winrestcmd = ''\n self._initialized = False\n self._winheight = 0\n self._winwidth = 0\n self._winminheight = -1\n self._is_multi = False\n self._is_async = False\n self._matched_pattern = ''\n self._displayed_texts: typing.List[str] = []\n self._statusline_sources = ''\n self._titlestring = ''\n self._ruler = False\n self._prev_action = ''\n self._prev_status: typing.Dict[str, typing.Any] = {}\n self._prev_curpos: typing.List[typing.Any] = []\n self._save_window_options: typing.Dict[str, typing.Any] = {}\n self._sources_history: typing.List[typing.Any] = []\n self._previous_text = ''\n self._floating = False\n self._filter_floating = False\n self._updated = False\n self._timers: typing.Dict[str, int] = {}\n self._matched_range_id = -1\n self._matched_char_id = -1\n self._check_matchdelete = bool(self._vim.call(\n 'denite#util#check_matchdelete'))\n\n\nError: HARD_CUT"}, {"role": "assistant", "content": "Fixed Code:\n\n\n# ============================================================================\n# FILE: default.py\n# AUTHOR: Shougo Matsushita <Shougo.Matsu at gmail.com>\n# License: MIT license\n# ============================================================================\n\nimport re\nimport typing\n\nfrom denite.util import echo, error, clearmatch, regex_convert_py_vim\nfrom denite.util import Nvim, UserContext, Candidates, Candidate\nfrom denite.parent import SyncParent\n\n\nclass Default(object):\n @property\n def is_async(self) -> bool:\n return self._is_async\n\n def __init__(self, vim: Nvim) -> None:\n\nExplanation: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
d99ed7256245422c7c5dd3c60b0661e4f78183ea
|
TheStack--python--000.parquet
|
Debug this Python code:
# -*- coding: utf-8 -*-
"""Context managers implemented for (mostly) internal use"""
import contextlib
import functools
from io import UnsupportedOperation
import os
import sys
__all__ = ["RedirectStdout", "RedirectStderr"]
@contextlib.contextmanager
def _stdchannel_redirected(stdchannel, dest_filename, mode="w"):
"""
A context manager to temporarily redirect stdout or stderr
Originally by Marc Abramowitz, 2013
(http://marc-abramowitz.com/archives/2013/07/19/python-context-manager-for-redirected-stdout-and-stderr/)
"""
oldstdchannel = None
dest_file = None
try:
if stdchannel is None:
yield iter([None])
else:
oldstdchannel = os.dup(stdchannel.fileno())
dest_file = open(dest_filename, mode)
os.dup2(dest_file.fileno(), stdchannel.fileno())
yield
except (UnsupportedOperation, AttributeError):
yield iter([None])
finally:
if oldstdchannel is not None:
os.dup2(oldstdchannel, stdchannel.fileno())
if dest_file is not None:
dest_file.close()
RedirectStdout = functools.partial(_stdchannel_redirected, sys.stdout)
RedirectStderr = functools.partial(_stdchannel_redirected, sys.stderr)
RedirectNoOp = functools.partial(_stdchannel_redirected, None, "")
|
Code analysis results:
💡 Suggestions:
Code syntax is valid
Consider adding unit tests
Add inline comments for complex logic
No critical issues found
|
intermediate
|
api
|
debugging
|
Python
| 1
| 0
| 1,329
| true
|
[{"role": "user", "content": "Debug this Python code:\n# -*- coding: utf-8 -*-\n\n\"\"\"Context managers implemented for (mostly) internal use\"\"\"\n\nimport contextlib\nimport functools\nfrom io import UnsupportedOperation\nimport os\nimport sys\n\n\n__all__ = [\"RedirectStdout\", \"RedirectStderr\"]\n\n\n@contextlib.contextmanager\ndef _stdchannel_redirected(stdchannel, dest_filename, mode=\"w\"):\n \"\"\"\n A context manager to temporarily redirect stdout or stderr\n\n Originally by Marc Abramowitz, 2013\n (http://marc-abramowitz.com/archives/2013/07/19/python-context-manager-for-redirected-stdout-and-stderr/)\n \"\"\"\n\n oldstdchannel = None\n dest_file = None\n try:\n if stdchannel is None:\n yield iter([None])\n else:\n oldstdchannel = os.dup(stdchannel.fileno())\n dest_file = open(dest_filename, mode)\n os.dup2(dest_file.fileno(), stdchannel.fileno())\n yield\n except (UnsupportedOperation, AttributeError):\n yield iter([None])\n finally:\n if oldstdchannel is not None:\n os.dup2(oldstdchannel, stdchannel.fileno())\n if dest_file is not None:\n dest_file.close()\n\n\nRedirectStdout = functools.partial(_stdchannel_redirected, sys.stdout)\nRedirectStderr = functools.partial(_stdchannel_redirected, sys.stderr)\nRedirectNoOp = functools.partial(_stdchannel_redirected, None, \"\")\n"}, {"role": "assistant", "content": "Code analysis results:\n\n\ud83d\udca1 Suggestions:\n Code syntax is valid\n Consider adding unit tests\n Add inline comments for complex logic\n\n No critical issues found\n"}]
| false
| null | null | null |
d99f875863138f11af1d76f0c753c198ad6d96bd
|
TheStack--python--000.parquet
|
Debug this Python code:
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from . import __version__ as app_version
|
Code analysis results:
💡 Suggestions:
Code syntax is valid
Consider adding unit tests
Add inline comments for complex logic
No critical issues found
|
beginner
|
general
|
debugging
|
Python
| 0
| 0
| 105
| true
|
[{"role": "user", "content": "Debug this Python code:\n# -*- coding: utf-8 -*-\nfrom __future__ import unicode_literals\nfrom . import __version__ as app_version\n"}, {"role": "assistant", "content": "Code analysis results:\n\n\ud83d\udca1 Suggestions:\n Code syntax is valid\n Consider adding unit tests\n Add inline comments for complex logic\n\n No critical issues found\n"}]
| false
| null | null | null |
d99ff34b5f61cee604590c456f40398d7da18182
|
TheStack--python--000.parquet
|
Fill in the in this Python code:
from keras import Model, Input
from keras.layers import Dense, concatenate, LSTM, Reshape, Permute, Embedding, Dropout, Convolution1D, Flatten
from keras.optimizers import Adam
from pypagai.models.base import KerasModel
class SimpleLSTM(KerasModel):
"""
Use a simple lstm neural network
"""
@staticmethod
def default_config():
config = KerasModel.default_config()
config['hidden'] = 32
return config
def __init__(self, cfg):
super().__init__(cfg)
self._cfg_ = cfg
def _create_network_(self):
hidden = self._cfg_['hidden']
story = Input((self._story_maxlen, ), name='story')
question = Input((self._query_maxlen, ), name='question')
conc = concatenate([story, question],)
conc = Reshape((1, int(conc.shape[1])))(conc)
conc = Permute((2, 1))(conc)
response = LSTM(hidden, dropout=0.2, recurrent_dropout=0.2)(conc)
response = Dense(self._vocab_size, activation='softmax')(response)
self._model = Model(inputs=[story, question], outputs=response)
self._model.compile(optimizer=Adam(lr=2e-4), loss='sparse_categorical_crossentropy', metrics=['accuracy'])
class EmbedLSTM(KerasModel):
"""
Use a simple lstm neural network
"""
@staticmethod
def default_config():
config = KerasModel.default_config()
config['hidden'] = 32
return config
# Complete this line
def __init__(self, cfg):
super().__init__(cfg)
self._cfg_ = cfg
def _create_network_(self):
hidden = self._cfg_['hidden']
story = Input((self._story_maxlen, ), name='story')
question = Input((self._query_maxlen, ), name='question')
eb_story = Embedding(self._vocab_size, 64)(story)
eb_story = Dropout(0.3)(eb_story)
eb_question = Embedding(self._vocab_size, 64)(question)
eb_question = Dropout(0.3)(eb_question)
conc = concatenate([eb_story, eb_question], axis=1)
response = LSTM(hidden, dropout=0.2, recurrent_dropout=0.2)(conc)
response = Dense(self._vocab_size, activation='softmax')(response)
self._model = Model(inputs=[story, question], outputs=response)
self._model.compile(optimizer=Adam(lr=2e-4), loss='sparse_categorical_crossentropy', metrics=['accuracy'])
class ConvLSTM(KerasModel):
"""
Use a simple lstm neural network
"""
@staticmethod
def default_config():
config = KerasModel.default_config()
config['hidden'] = 32
return config
def __init__(self, model_cfg):
super().__init__(model_cfg)
self._cfg = model_cfg
... [1 more functiondefs truncated] ...
|
The missing line is:
|
advanced
|
database
|
fill_in_the_blank
|
Python
| 8
| 3
| 2,699
| true
|
[{"role": "user", "content": "Fill in the in this Python code:\nfrom keras import Model, Input\nfrom keras.layers import Dense, concatenate, LSTM, Reshape, Permute, Embedding, Dropout, Convolution1D, Flatten\nfrom keras.optimizers import Adam\n\nfrom pypagai.models.base import KerasModel\n\n\nclass SimpleLSTM(KerasModel):\n \"\"\"\n Use a simple lstm neural network\n \"\"\"\n @staticmethod\n def default_config():\n config = KerasModel.default_config()\n config['hidden'] = 32\n\n return config\n\n def __init__(self, cfg):\n super().__init__(cfg)\n self._cfg_ = cfg\n\n def _create_network_(self):\n hidden = self._cfg_['hidden']\n story = Input((self._story_maxlen, ), name='story')\n question = Input((self._query_maxlen, ), name='question')\n\n conc = concatenate([story, question],)\n conc = Reshape((1, int(conc.shape[1])))(conc)\n conc = Permute((2, 1))(conc)\n\n response = LSTM(hidden, dropout=0.2, recurrent_dropout=0.2)(conc)\n response = Dense(self._vocab_size, activation='softmax')(response)\n\n self._model = Model(inputs=[story, question], outputs=response)\n self._model.compile(optimizer=Adam(lr=2e-4), loss='sparse_categorical_crossentropy', metrics=['accuracy'])\n\n\nclass EmbedLSTM(KerasModel):\n\n \"\"\"\n Use a simple lstm neural network\n \"\"\"\n @staticmethod\n def default_config():\n config = KerasModel.default_config()\n config['hidden'] = 32\n\n return config\n # Complete this line\n def __init__(self, cfg):\n super().__init__(cfg)\n self._cfg_ = cfg\n\n def _create_network_(self):\n hidden = self._cfg_['hidden']\n\n story = Input((self._story_maxlen, ), name='story')\n question = Input((self._query_maxlen, ), name='question')\n\n eb_story = Embedding(self._vocab_size, 64)(story)\n eb_story = Dropout(0.3)(eb_story)\n\n eb_question = Embedding(self._vocab_size, 64)(question)\n eb_question = Dropout(0.3)(eb_question)\n\n conc = concatenate([eb_story, eb_question], axis=1)\n\n response = LSTM(hidden, dropout=0.2, recurrent_dropout=0.2)(conc)\n response = Dense(self._vocab_size, activation='softmax')(response)\n\n self._model = Model(inputs=[story, question], outputs=response)\n self._model.compile(optimizer=Adam(lr=2e-4), loss='sparse_categorical_crossentropy', metrics=['accuracy'])\n\n\nclass ConvLSTM(KerasModel):\n\n \"\"\"\n Use a simple lstm neural network\n \"\"\"\n @staticmethod\n def default_config():\n config = KerasModel.default_config()\n config['hidden'] = 32\n\n return config\n\n def __init__(self, model_cfg):\n super().__init__(model_cfg)\n self._cfg = model_cfg\n\n\n... [1 more functiondefs truncated] ..."}, {"role": "assistant", "content": "The missing line is:\n"}]
| false
| null | null | null |
d9a00b2c6f1a0e88ad5b4a7def2a45bd074f417f
|
TheStack--python--000.parquet
|
Review this Python code:
from .fully_connected import FullyConnectedLatentVariable
from .convolutional import ConvolutionalLatentVariable
|
Code Review:
✓ No syntax errors found
💡 Suggestions:
• Code syntax is valid
• Consider adding unit tests
• Add inline comments for complex logic
|
beginner
|
general
|
code_review
|
Python
| 0
| 0
| 113
| true
|
[{"role": "user", "content": "Review this Python code:\nfrom .fully_connected import FullyConnectedLatentVariable\nfrom .convolutional import ConvolutionalLatentVariable\n"}, {"role": "assistant", "content": "Code Review:\n\n\u2713 No syntax errors found\n\n\ud83d\udca1 Suggestions:\n \u2022 Code syntax is valid\n \u2022 Consider adding unit tests\n \u2022 Add inline comments for complex logic"}]
| false
| null | null | null |
d9a09cb6f497e8ccdf9de40f4b8ebd6b96a1c43a
|
TheStack--python--000.parquet
|
Repair the syntax errors in this Python code:
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author:
class PNASNet(BaseBackbone):
def __init__(self, data_channel=3, num_cells=6,
num_planes=44, block=CellA,
bnName=NormalizationType.BatchNormalize2d,
activationName=ActivationType.ReLU):
super().__init__()
self.set_name(BackboneName.PNASNetA)
self.data_channel = data_channel
self.num_cells = num_cells
self.block = block
self.activation_name = activationName
self.bn_name = bnName
self.first_output = num_planes
self.in_planes = self.first_output
self.create_block_list()
def create_block_list(self):
self.block_out_channels = []
self.index = 0
layer1 = ConvBNActivationBlock(in_channels=self.data_channel,
out_channels=self.first_output,
kernel_size=3,
stride=1,
padding=1,
bias=False,
bnName=self.bn_name,
activationName=self.activation_name)
self.add_block_list(layer1.get_name(), layer1, self.first_output)
self.make_layer(self.first_output, self.num_cells)
self.downsample(self.first_output * 2)
self.make_layer(self.first_output * 2, self.num_cells)
self.downsample(self.first_output * 4)
self.make_layer(self.first_output * 4, self.num_cells)
def make_layer(self, planes, num_cells):
for _ in range(num_cells):
temp_block = self.block(self.in_planes, planes, stride=1,
bn_name=self.bn_name, activation_name=self.activation_name)
self.add_block_list(temp_block.get_name(), temp_block, planes)
self.in_planes = planes
def downsample(self, planes):
down_block = self.block(self.in_planes, planes, stride=2,
bn_name=self.bn_name, activation_name=self.activation_name)
self.add_block_list(down_block.get_name(), down_block, planes)
self.in_planes = planes
|
Syntax Analysis:
Fixes:
• Code syntax is valid
• Add docstring to class 'PNASNet'
• Consider adding unit tests
|
advanced
|
database
|
syntax_repair
|
Python
| 7
| 1
| 2,241
| false
|
[{"role": "user", "content": "Repair the syntax errors in this Python code:\n#!/usr/bin/env python\n# -*- coding:utf-8 -*-\n# Author:\nclass PNASNet(BaseBackbone):\n\n def __init__(self, data_channel=3, num_cells=6,\n num_planes=44, block=CellA,\n bnName=NormalizationType.BatchNormalize2d,\n activationName=ActivationType.ReLU):\n super().__init__()\n self.set_name(BackboneName.PNASNetA)\n self.data_channel = data_channel\n self.num_cells = num_cells\n self.block = block\n self.activation_name = activationName\n self.bn_name = bnName\n self.first_output = num_planes\n self.in_planes = self.first_output\n\n self.create_block_list()\n\n def create_block_list(self):\n self.block_out_channels = []\n self.index = 0\n\n layer1 = ConvBNActivationBlock(in_channels=self.data_channel,\n out_channels=self.first_output,\n kernel_size=3,\n stride=1,\n padding=1,\n bias=False,\n bnName=self.bn_name,\n activationName=self.activation_name)\n self.add_block_list(layer1.get_name(), layer1, self.first_output)\n\n self.make_layer(self.first_output, self.num_cells)\n self.downsample(self.first_output * 2)\n\n self.make_layer(self.first_output * 2, self.num_cells)\n self.downsample(self.first_output * 4)\n\n self.make_layer(self.first_output * 4, self.num_cells)\n\n def make_layer(self, planes, num_cells):\n for _ in range(num_cells):\n temp_block = self.block(self.in_planes, planes, stride=1,\n bn_name=self.bn_name, activation_name=self.activation_name)\n self.add_block_list(temp_block.get_name(), temp_block, planes)\n self.in_planes = planes\n\n def downsample(self, planes):\n down_block = self.block(self.in_planes, planes, stride=2,\n bn_name=self.bn_name, activation_name=self.activation_name)\n self.add_block_list(down_block.get_name(), down_block, planes)\n self.in_planes = planes\n"}, {"role": "assistant", "content": "Syntax Analysis:\n\n\nFixes:\n \u2022 Code syntax is valid\n \u2022 Add docstring to class 'PNASNet'\n \u2022 Consider adding unit tests"}]
| true
|
syntax
|
BROKEN_INDENTATION
|
MEDIUM
|
d9a0c8935f1da040f76922b94d20a857d8b8cd7d
|
TheStack--python--000.parquet
|
Fill in the in this Python code:
# -*- coding: utf-8 -*-
# coding=utf-8
import json
import os
import math
import logging
import requests
import time
from map_download.cmd.BaseDownloader import DownloadEngine, BaseDownloaderThread, latlng2tile_terrain, BoundBox
def get_access_token(token):
resp = None
request_count = 0
url = "https://api.cesium.com/v1/assets/1/endpoint"
while True:
if request_count > 4:
break
try:
request_count += 1
param = {'access_token': token}
resp = requests.get(url, params=param, timeout=2)
if resp.status_code != 200:
continue
break
except Exception as e:
resp = None
time.sleep(3)
if resp is None:
return None
resp_json = resp.json()
return resp_json.get('accessToken')
class TerrainDownloaderThread(BaseDownloaderThread):
URL = "https://assets.cesium.com/1/{z}/{x}/{y}.terrain?extensions=octvertexnormals-watermask&v=1.1.0"
def __init__(self, root_dir, bbox, token, task_q, logger=None, write_db=False):
super(TerrainDownloaderThread, self).__init__(
root_dir, bbox, task_q, logger, write_db=write_db, db_file_name='Terrain.db')
self.token = token
self._init_metadata(
format='terrain',
bounds='%f,%f,%f,%f' % (self.bbox.min_lng, self.bbox.min_lat, self.bbox.max_lng, self.bbox.max_lat))
def get_url(self, x, y, z):
return self.URL.format(x=x, y=y, z=z)
def _download(self, x, y, z):
file_path = '%s/%s/%i/%i/%i.%s' % (self.root_dir, 'Terrain', z, x, y, 'terrain')
if os.path.exists(file_path):
self._data2DB(x, y, z, file_path)
return 0
os.makedirs(os.path.dirname(file_path), exist_ok=True)
# Complete this line
requre_count = 0
_url = ''
access_token = get_access_token(self.token)
if access_token is None:
return -1
param = {'extensions': 'octvertexnormals-watermask', 'v': '1.1.0', 'access_token': access_token}
while True:
if requre_count > 4: break
try:
_url = self.get_url(x, y, z)
resp = requests.get(_url, params=param, stream=True, timeout=2)
break
except Exception as e:
resp = None
time.sleep(3)
requre_count += 1
if resp is None:
return -1
if resp.status_code != 200:
return -1
try:
with open(file_path, 'wb') as f:
for chunk in resp.iter_content(chunk_size=1024):
if chunk:
f.write(chunk)
except Exception as e:
return -1
self._data2DB(x, y, z, file_path)
return 1
class TerrainDownloadEngine(DownloadEngine):
root_dir = ''
... [4 more functiondefs truncated] ...
|
The missing line is:
resp = None
|
advanced
|
api
|
fill_in_the_blank
|
Python
| 4
| 2
| 2,939
| true
|
[{"role": "user", "content": "Fill in the in this Python code:\n# -*- coding: utf-8 -*-\n# coding=utf-8\nimport json\nimport os\nimport math\nimport logging\nimport requests\nimport time\n\nfrom map_download.cmd.BaseDownloader import DownloadEngine, BaseDownloaderThread, latlng2tile_terrain, BoundBox\n\n\ndef get_access_token(token):\n resp = None\n request_count = 0\n url = \"https://api.cesium.com/v1/assets/1/endpoint\"\n while True:\n if request_count > 4:\n break\n try:\n request_count += 1\n param = {'access_token': token}\n resp = requests.get(url, params=param, timeout=2)\n if resp.status_code != 200:\n continue\n break\n except Exception as e:\n resp = None\n time.sleep(3)\n if resp is None:\n return None\n resp_json = resp.json()\n return resp_json.get('accessToken')\n\n\nclass TerrainDownloaderThread(BaseDownloaderThread):\n URL = \"https://assets.cesium.com/1/{z}/{x}/{y}.terrain?extensions=octvertexnormals-watermask&v=1.1.0\"\n\n def __init__(self, root_dir, bbox, token, task_q, logger=None, write_db=False):\n super(TerrainDownloaderThread, self).__init__(\n root_dir, bbox, task_q, logger, write_db=write_db, db_file_name='Terrain.db')\n self.token = token\n self._init_metadata(\n format='terrain',\n bounds='%f,%f,%f,%f' % (self.bbox.min_lng, self.bbox.min_lat, self.bbox.max_lng, self.bbox.max_lat))\n\n def get_url(self, x, y, z):\n return self.URL.format(x=x, y=y, z=z)\n\n def _download(self, x, y, z):\n file_path = '%s/%s/%i/%i/%i.%s' % (self.root_dir, 'Terrain', z, x, y, 'terrain')\n if os.path.exists(file_path):\n self._data2DB(x, y, z, file_path)\n return 0\n os.makedirs(os.path.dirname(file_path), exist_ok=True)\n # Complete this line\n requre_count = 0\n _url = ''\n access_token = get_access_token(self.token)\n if access_token is None:\n return -1\n param = {'extensions': 'octvertexnormals-watermask', 'v': '1.1.0', 'access_token': access_token}\n while True:\n if requre_count > 4: break\n try:\n _url = self.get_url(x, y, z)\n resp = requests.get(_url, params=param, stream=True, timeout=2)\n break\n except Exception as e:\n resp = None\n time.sleep(3)\n requre_count += 1\n if resp is None:\n return -1\n if resp.status_code != 200:\n return -1\n try:\n with open(file_path, 'wb') as f:\n for chunk in resp.iter_content(chunk_size=1024):\n if chunk:\n f.write(chunk)\n except Exception as e:\n return -1\n self._data2DB(x, y, z, file_path)\n return 1\n\n\nclass TerrainDownloadEngine(DownloadEngine):\n root_dir = ''\n\n\n... [4 more functiondefs truncated] ..."}, {"role": "assistant", "content": "The missing line is:\n resp = None"}]
| false
| null | null | null |
d9a0daeef5f3a3455af5c2983af478cd08c74a7b
|
TheStack--python--000.parquet
|
Debug this Python code:
# coding: utf-8
class RbacAuthorizationV1Api(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def create_cluster_role(self, body, **kwargs): # noqa: E501
"""create_cluster_role # noqa: E501
create a ClusterRole # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_cluster_role(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param V1ClusterRole body: (required)
:param bool include_uninitialized: If true, partially initialized resources are included in the response.
:param str pretty: If 'true', then the output is pretty printed.
:param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed
:return: V1ClusterRole
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.create_cluster_role_with_http_info(body, **kwargs) # noqa: E501
else:
(data) = self.create_cluster_role_with_http_info(body, **kwargs) # noqa: E501
return data
... [61 more functiondefs truncated] ...
|
Code analysis results:
💡 Suggestions:
Consider adding unit tests
Add inline comments for complex logic
⚠️ Errors found:
SyntaxError at line 41: invalid syntax. Perhaps you forgot a comma?
|
advanced
|
api
|
debugging
|
Python
| 2
| 1
| 1,808
| false
|
[{"role": "user", "content": "Debug this Python code:\n# coding: utf-8\n\nclass RbacAuthorizationV1Api(object):\n \"\"\"NOTE: This class is auto generated by the swagger code generator program.\n\n Do not edit the class manually.\n Ref: https://github.com/swagger-api/swagger-codegen\n \"\"\"\n\n def __init__(self, api_client=None):\n if api_client is None:\n api_client = ApiClient()\n self.api_client = api_client\n\n def create_cluster_role(self, body, **kwargs): # noqa: E501\n \"\"\"create_cluster_role # noqa: E501\n\n create a ClusterRole # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.create_cluster_role(body, async_req=True)\n >>> result = thread.get()\n\n :param async_req bool\n :param V1ClusterRole body: (required)\n :param bool include_uninitialized: If true, partially initialized resources are included in the response.\n :param str pretty: If 'true', then the output is pretty printed.\n :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed\n :return: V1ClusterRole\n If the method is called asynchronously,\n returns the request thread.\n \"\"\"\n kwargs['_return_http_data_only'] = True\n if kwargs.get('async_req'):\n return self.create_cluster_role_with_http_info(body, **kwargs) # noqa: E501\n else:\n (data) = self.create_cluster_role_with_http_info(body, **kwargs) # noqa: E501\n return data\n\n\n... [61 more functiondefs truncated] ..."}, {"role": "assistant", "content": "Code analysis results:\n\n\ud83d\udca1 Suggestions:\n Consider adding unit tests\n Add inline comments for complex logic\n\n\u26a0\ufe0f Errors found:\n SyntaxError at line 41: invalid syntax. Perhaps you forgot a comma?"}]
| false
| null | null | null |
d9a1f3b0cf83d1115ed19f3acdb5e35f75ece5c0
|
TheStack--python--000.parquet
|
Find all errors in this Python code:
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 10 23:28:58 2017
@author: dhingratul
"""
import urllib.request
import os
from selenium import webdriver
from selenium.webdriver.support.ui import Select
from bs4 import BeautifulSoup
import ssl
import requests
import wget
from PyPDF2 import PdfFileReader
def download_file(pdf_url, mdir, filename, flag=False):
if flag is True:
context = ssl._create_unverified_context()
response = urllib.request.urlopen(pdf_url, context=context)
else:
response = urllib.request.urlopen(pdf_url)
filename = mdir + filename
file = open(filename, 'wb')
file.write(response.read())
if os.stat(filename).st_size != 0:
flag = 0
else:
flag = 1
file.close()
return flag
def download_file_R(pdf_url, mdir, filename, file_out):
requests.packages.urllib3.disable_warnings()
while True: # Keep trying until the webpage successfully downloads
try:
r = requests.get(pdf_url, verify=False, timeout=10)
break # If it downloads, get out and get on with life
# If it doesn't download after the timeout period, an exceptions is thrown, and we try again
except requests.exceptions.RequestException as e:
with open(file_out, "a") as myfile:
myfile.write(pdf_url + '\n')
filename = mdir + filename
with open(filename, 'wb') as f:
f.write(r.content)
|
Error Analysis:
Error Type: MID_STRING
Multiple Errors Detected:
• Logical: Incorrect comparison operator
• Syntax: MID_STRING
Fix: Fix logical error: Change != to == AND Close the string literal
|
intermediate
|
api
|
error_detection
|
Python
| 5
| 0
| 1,467
| true
|
[{"role": "user", "content": "Find all errors in this Python code:\n#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Fri Nov 10 23:28:58 2017\n\n@author: dhingratul\n\"\"\"\nimport urllib.request\nimport os\nfrom selenium import webdriver\nfrom selenium.webdriver.support.ui import Select\nfrom bs4 import BeautifulSoup\nimport ssl\nimport requests\nimport wget\nfrom PyPDF2 import PdfFileReader\n\n\ndef download_file(pdf_url, mdir, filename, flag=False):\n if flag is True:\n context = ssl._create_unverified_context()\n response = urllib.request.urlopen(pdf_url, context=context)\n else:\n response = urllib.request.urlopen(pdf_url)\n\n filename = mdir + filename\n file = open(filename, 'wb')\n file.write(response.read())\n if os.stat(filename).st_size != 0:\n flag = 0\n else:\n flag = 1\n file.close()\n return flag\n\n\ndef download_file_R(pdf_url, mdir, filename, file_out):\n requests.packages.urllib3.disable_warnings()\n while True: # Keep trying until the webpage successfully downloads\n try:\n r = requests.get(pdf_url, verify=False, timeout=10)\n break # If it downloads, get out and get on with life\n # If it doesn't download after the timeout period, an exceptions is thrown, and we try again\n except requests.exceptions.RequestException as e:\n with open(file_out, \"a\") as myfile:\n myfile.write(pdf_url + '\\n')\n\n filename = mdir + filename\n with open(filename, 'wb') as f:\n f.write(r.content)"}, {"role": "assistant", "content": "Error Analysis:\n\nError Type: MID_STRING\nMultiple Errors Detected:\n \u2022 Logical: Incorrect comparison operator\n \u2022 Syntax: MID_STRING\n\nFix: Fix logical error: Change != to == AND Close the string literal"}]
| true
|
syntax
|
MID_STRING
|
CRITICAL
|
d9a268f19adc7700cf1335eb9dfc2c8d74c5a4dc
|
TheStack--python--000.parquet
|
Explain this Python code:
"""
Experiment summary
------------------
Treat each province/state in a country cases over time
as a vector, do a simple K-Nearest Neighbor between
countries. What country has the most similar trajectory
to a given country?
Plots similar countries
"""
import sys
sys.path.insert(0, '..')
from utils import data
import os
import sklearn
import numpy as np
import json
import matplotlib.pyplot as plt
plt.style.use('fivethirtyeight')
# ------------ HYPERPARAMETERS -------------
BASE_PATH = '../COVID-19/csse_covid_19_data/'
# ------------------------------------------
confirmed = os.path.join(
BASE_PATH,
'csse_covid_19_time_series',
'time_series_covid19_confirmed_global.csv')
confirmed = data.load_csv_data(confirmed)
features = []
targets = []
fig = plt.figure(figsize=(12, 12))
ax = fig.add_subplot(111)
cm = plt.get_cmap('jet')
NUM_COLORS = 0
LINE_STYLES = ['solid', 'dashed', 'dotted']
NUM_STYLES = len(LINE_STYLES)
dist_diff = os.path.join('../exp/results/', 'knn_raw.json')
f = open(dist_diff,)
dist_diff = json.load(f)
for region, dist in dist_diff.items():
plt.style.use('fivethirtyeight')
fig = plt.figure(figsize=(12, 12))
ax = fig.add_subplot(111)
cm = plt.get_cmap('jet')
other_region = dist['manhattan'][0]
regions = [region, other_region]
for val in regions:
df = data.filter_by_attribute(
confirmed, "Country/Region", val)
cases, labels = data.get_cases_chronologically(df)
cases = cases.sum(axis=0)
lines = ax.plot(cases, label=val)
ax.set_ylabel('# of confirmed cases')
ax.set_xlabel("Time (days since Jan 22, 2020)")
ax.set_yscale('log')
ax.legend()
plt.tight_layout()
region = region.replace('*', '')
other_region = other_region.replace('*', '')
plt.title(f'Comparing confirmed cases in {region} and {other_region}')
plt.savefig(f'results/raw_manhattan/{region}.png')
plt.close()
print(region)
|
This code demonstrates Python programming.
|
intermediate
|
data_processing
|
code_explanation
|
Python
| 0
| 0
| 1,956
| true
|
[{"role": "user", "content": "Explain this Python code:\n\"\"\"\nExperiment summary\n------------------\nTreat each province/state in a country cases over time\nas a vector, do a simple K-Nearest Neighbor between\ncountries. What country has the most similar trajectory\nto a given country?\n\nPlots similar countries\n\"\"\"\n\nimport sys\nsys.path.insert(0, '..')\n\nfrom utils import data\nimport os\nimport sklearn\nimport numpy as np\nimport json\nimport matplotlib.pyplot as plt\n\nplt.style.use('fivethirtyeight')\n\n# ------------ HYPERPARAMETERS -------------\nBASE_PATH = '../COVID-19/csse_covid_19_data/'\n# ------------------------------------------\n\nconfirmed = os.path.join(\n BASE_PATH,\n 'csse_covid_19_time_series',\n 'time_series_covid19_confirmed_global.csv')\nconfirmed = data.load_csv_data(confirmed)\nfeatures = []\ntargets = []\n\nfig = plt.figure(figsize=(12, 12))\nax = fig.add_subplot(111)\ncm = plt.get_cmap('jet')\nNUM_COLORS = 0\nLINE_STYLES = ['solid', 'dashed', 'dotted']\nNUM_STYLES = len(LINE_STYLES)\n\ndist_diff = os.path.join('../exp/results/', 'knn_raw.json')\nf = open(dist_diff,)\ndist_diff = json.load(f)\n\nfor region, dist in dist_diff.items():\n plt.style.use('fivethirtyeight')\n\n fig = plt.figure(figsize=(12, 12))\n ax = fig.add_subplot(111)\n cm = plt.get_cmap('jet')\n\n other_region = dist['manhattan'][0]\n regions = [region, other_region]\n for val in regions:\n df = data.filter_by_attribute(\n confirmed, \"Country/Region\", val)\n cases, labels = data.get_cases_chronologically(df)\n cases = cases.sum(axis=0)\n\n lines = ax.plot(cases, label=val)\n\n ax.set_ylabel('# of confirmed cases')\n ax.set_xlabel(\"Time (days since Jan 22, 2020)\")\n ax.set_yscale('log')\n ax.legend()\n plt.tight_layout()\n region = region.replace('*', '')\n other_region = other_region.replace('*', '')\n plt.title(f'Comparing confirmed cases in {region} and {other_region}')\n plt.savefig(f'results/raw_manhattan/{region}.png')\n plt.close()\n print(region)"}, {"role": "assistant", "content": "This code demonstrates Python programming."}]
| false
| null | null | null |
d9a3883f0ea5d080d5d4d2e05df6fadcaeb5c36e
|
TheStack--python--000.parquet
|
Repair the syntax errors in this Python code:
class Rational(Rational_base, HybridBlock):
"""
Rational Activation Function, inheriting from ``mxnet.gluon.HybridBlock``.
Arguments:
approx_func (str):
The name of the approximated function for initialisation.
The different functions are available in `rational.rationals_config.json`.
Default: ``leaky_relu``
degrees (tuple of int):
The degrees of the numerator (P) and denominator (Q).
Default ``(5, 4)``
cuda (bool):
whether to execute on cuda device.
NOTE: THIS PARAMETER IS CURRENTLY NOT CONSIDERED.
CUDA GPUS ARE USED WHEN IT IS POSSIBLE
version (str):
Version of Rational to use. Rational(x) = P(x)/Q(x),
where
P(x) = (a_0 + a_1 * x + a_2 * x^2 + ... + a_n * x^n) and
`A`: Q(x) = (1 + |b_0 * x| + | b_1 * x^2| + ... + | b_m * x^{m+1}|)
`B`: Q(x) = (1 + |b_0 * x + b_1 * x^2 + ... + b_m * x^{m + 1}|)
`C`: Q(x) = (0.1 + |b_0 + b_1 * x + b_2 * x^2 + ... + b_m * x^m|)
`D`: like `B` with noised coefficients b_i
Default ``A``
trainable (bool):
Whether the weights are trainable, i.e, if they are updated during
backward pass.
Default ``True``
Returns:
HybridBlock:
Rational hybrid block
""
... [3 more functiondefs truncated] ...
|
Syntax Analysis:
Syntax Errors Found:
• SyntaxError at line 2: unterminated triple-quoted string literal (detected at line 43)
Fixes:
• Consider adding unit tests
• Add inline comments for complex logic
|
advanced
|
machine_learning
|
syntax_repair
|
Python
| 0
| 1
| 1,547
| false
|
[{"role": "user", "content": "Repair the syntax errors in this Python code:\nclass Rational(Rational_base, HybridBlock):\n \"\"\"\n Rational Activation Function, inheriting from ``mxnet.gluon.HybridBlock``.\n\n Arguments:\n approx_func (str):\n The name of the approximated function for initialisation.\n The different functions are available in `rational.rationals_config.json`.\n Default: ``leaky_relu``\n\n degrees (tuple of int):\n The degrees of the numerator (P) and denominator (Q).\n Default ``(5, 4)``\n\n cuda (bool):\n whether to execute on cuda device.\n NOTE: THIS PARAMETER IS CURRENTLY NOT CONSIDERED.\n CUDA GPUS ARE USED WHEN IT IS POSSIBLE\n\n version (str):\n Version of Rational to use. Rational(x) = P(x)/Q(x),\n where\n P(x) = (a_0 + a_1 * x + a_2 * x^2 + ... + a_n * x^n) and\n\n `A`: Q(x) = (1 + |b_0 * x| + | b_1 * x^2| + ... + | b_m * x^{m+1}|)\n `B`: Q(x) = (1 + |b_0 * x + b_1 * x^2 + ... + b_m * x^{m + 1}|)\n `C`: Q(x) = (0.1 + |b_0 + b_1 * x + b_2 * x^2 + ... + b_m * x^m|)\n `D`: like `B` with noised coefficients b_i\n\n Default ``A``\n\n trainable (bool):\n Whether the weights are trainable, i.e, if they are updated during\n backward pass.\n Default ``True``\n\n Returns:\n HybridBlock:\n Rational hybrid block\n \"\"\n\n\n... [3 more functiondefs truncated] ..."}, {"role": "assistant", "content": "Syntax Analysis:\n\nSyntax Errors Found:\n \u2022 SyntaxError at line 2: unterminated triple-quoted string literal (detected at line 43)\n\nFixes:\n \u2022 Consider adding unit tests\n \u2022 Add inline comments for complex logic"}]
| true
|
syntax
|
MID_STRING
|
CRITICAL
|
d9a428c026d2352f281b2b7ddd8ec8a286d37297
|
TheStack--python--000.parquet
|
Fix this broken Python code:
"""Utils for criterion."""
import torch
import torch.nn.functional as F
def normalize(x, axis=-1):
"""Performs L2-Norm."""
num = x
denom = torch.norm(x, 2, axis, keepdim=True).expand_as(x) + 1e-12
return num / denom
# Source : https://github.com/earhian/Humpback-Whale-Identification-1st-/blob/master/models/triplet_loss.py
def euclidean_dist(x, y):
"""Computes Euclidean distance."""
m, n = x.size(0), y.size(0)
Error: MID_FUNCTION
|
Fixed Code:
"""Utils for criterion."""
import torch
import torch.nn.functional as F
def normalize(x, axis=-1):
"""Performs L2-Norm."""
num = x
denom = torch.norm(x, 2, axis, keepdim=True).expand_as(x) + 1e-12
return num / denom
# Source : https://github.com/earhian/Humpback-Whale-Identification-1st-/blob/master/models/triplet_loss.py
def euclidean_dist(x, y):
"""Computes Euclidean distance."""
m, n = x.size(0), y.size(0)
xx = torch.pow(x, 2).sum(1, keepdim=True).expand(m, n)
yy = torch.pow(x, 2).sum(1, keepdim=True).expand(m, m).t()
dist = xx + yy - 2 * torch.matmul(x, y.t())
Explanation: Complete the function definition
|
intermediate
|
api
|
error_fixing
|
Python
| 3
| 0
| 440
| true
|
[{"role": "user", "content": "Fix this broken Python code:\n\"\"\"Utils for criterion.\"\"\"\nimport torch\nimport torch.nn.functional as F\n\n\ndef normalize(x, axis=-1):\n \"\"\"Performs L2-Norm.\"\"\"\n num = x\n denom = torch.norm(x, 2, axis, keepdim=True).expand_as(x) + 1e-12\n return num / denom\n\n\n# Source : https://github.com/earhian/Humpback-Whale-Identification-1st-/blob/master/models/triplet_loss.py\ndef euclidean_dist(x, y):\n \"\"\"Computes Euclidean distance.\"\"\"\n m, n = x.size(0), y.size(0)\n\nError: MID_FUNCTION"}, {"role": "assistant", "content": "Fixed Code:\n\n\n\"\"\"Utils for criterion.\"\"\"\nimport torch\nimport torch.nn.functional as F\n\n\ndef normalize(x, axis=-1):\n \"\"\"Performs L2-Norm.\"\"\"\n num = x\n denom = torch.norm(x, 2, axis, keepdim=True).expand_as(x) + 1e-12\n return num / denom\n\n\n# Source : https://github.com/earhian/Humpback-Whale-Identification-1st-/blob/master/models/triplet_loss.py\ndef euclidean_dist(x, y):\n \"\"\"Computes Euclidean distance.\"\"\"\n m, n = x.size(0), y.size(0)\n xx = torch.pow(x, 2).sum(1, keepdim=True).expand(m, n)\n yy = torch.pow(x, 2).sum(1, keepdim=True).expand(m, m).t()\n dist = xx + yy - 2 * torch.matmul(x, y.t())\n\n\nExplanation: Complete the function definition"}]
| true
|
syntax
|
MID_FUNCTION
|
HIGH
|
d9a6621d903359b14c87695eb4a1ac8dcea18138
|
TheStack--python--000.parquet
|
Find all errors in this Python code:
"""Tests for the sbahn_munich integration"""
line_dict = {
"name": "S3",
"color": "#333333",
|
Error Analysis:
Error Type: MISSING_IMPORTS
Error: MISSING_IMPORTS
Detected Errors:
• SyntaxError at line 4: '{' was never closed
Fix: Add missing import statements
|
beginner
|
testing
|
error_detection
|
Python
| 0
| 0
| 102
| false
|
[{"role": "user", "content": "Find all errors in this Python code:\n\"\"\"Tests for the sbahn_munich integration\"\"\"\n\n\nline_dict = {\n \"name\": \"S3\",\n \"color\": \"#333333\","}, {"role": "assistant", "content": "Error Analysis:\n\nError Type: MISSING_IMPORTS\nError: MISSING_IMPORTS\n\nDetected Errors:\n \u2022 SyntaxError at line 4: '{' was never closed\n\nFix: Add missing import statements"}]
| true
|
syntax
|
MISSING_IMPORTS
|
MEDIUM
|
d9a714b3484177f5fee5427d98c53a86bf48daf3
|
TheStack--python--000.parquet
|
Find all errors in this Python code:
#! /usr/bin/env python2.7
# -*- coding: latin-1 -*-
from flask import Blueprint
from flask import current_app
from flask import render_template
from flask_login import login_required
homestack = Bluepr("homestack", __name__, url_prefix="/homestack")
@homestack.route("/", methods=["GET"])
@login_required
def home():
return render_template("homestack/home.html")
|
Error Analysis:
Error Type: TYPE_MISMATCH
Error: TYPE_MISMATCH
Fix: Add int() conversion back
|
intermediate
|
ui
|
error_detection
|
Python
| 1
| 0
| 372
| true
|
[{"role": "user", "content": "Find all errors in this Python code:\n#! /usr/bin/env python2.7\n# -*- coding: latin-1 -*-\n\nfrom flask import Blueprint\nfrom flask import current_app\nfrom flask import render_template\n\nfrom flask_login import login_required\n\nhomestack = Bluepr(\"homestack\", __name__, url_prefix=\"/homestack\")\n\n\n@homestack.route(\"/\", methods=[\"GET\"])\n@login_required\ndef home():\n return render_template(\"homestack/home.html\")\n"}, {"role": "assistant", "content": "Error Analysis:\n\nError Type: TYPE_MISMATCH\nError: TYPE_MISMATCH\n\nFix: Add int() conversion back"}]
| true
|
logical
|
TYPE_MISMATCH
|
MEDIUM
|
d9a88e74a4ac032ae6e8218d9ec1ed42e6092d32
|
TheStack--python--000.parquet
|
Fill in the in this Python code:
class SupporterForm(StripeResourceMixin, StripeModelForm):
"""Donation support sign up form
This extends the basic payment form, giving fields for credit card number,
expiry, and CVV. The proper Knockout data bindings are established on
:py:class:`StripeModelForm`
"""
class Meta:
model = Supporter
fields = (
'last_4_digits',
'name',
'email',
'dollars',
'logo_url',
'site_url',
'public',
)
labels = {
'public': _('Make this donation public'),
}
help_texts = {
'public': _('Your name and image will be displayed on the donation page'),
'email': _('Your email is used for Gravatar and so we can send you a receipt'),
'logo_url': _("URL of your company's logo, images should be 300x300 pixels or less"),
'dollars': _('Companies donating over $400 can specify a logo URL and site link'),
}
widgets = {
'dollars': forms.HiddenInput(attrs={
'data-bind': 'value: dollars'
}),
'logo_url': forms.TextInput(attrs={
'data-bind': 'value: logo_url, enable: urls_enabled'
}),
'site_url': forms.TextInput(attrs={
'data-bind': 'value: site_url, enable: urls_enabled'
# Complete this line
'last_4_digits': forms.TextInput(attrs={
'data-bind': 'valueInit: card_digits, value: card_digits'
}),
}
last_4_digits = forms.CharField(widget=forms.HiddenInput(), required=True)
name = forms.CharField(required=True)
email = forms.CharField(required=True)
def __init__(self, *args, **kwargs):
self.user = kwargs.pop('user')
super(SupporterForm, self).__init__(*args, **kwargs)
def validate_stripe(self):
"""Call stripe for payment (not ideal here) and clean up logo < $200"""
dollars = self.cleaned_data['dollars']
if dollars < 200:
self.cleaned_data['logo_url'] = None
self.cleaned_data['site_url'] = None
stripe.Charge.create(
amount=int(self.cleaned_data['dollars']) * 100,
currency='usd',
source=self.cleaned_data['stripe_token'],
description='Read the Docs Sustained Engineering',
receipt_email=self.cleaned_data['email']
)
def save(self, commit=True):
supporter = super(SupporterForm, self).save(commit)
if commit and self.user is not None and self.user.is_authenticated():
supporter.user = self.user
supporter.save()
return supporter
... [3 more classdefs truncated] ...
|
The missing line is:
}),
|
advanced
|
database
|
fill_in_the_blank
|
Python
| 3
| 2
| 2,756
| false
|
[{"role": "user", "content": "Fill in the in this Python code:\nclass SupporterForm(StripeResourceMixin, StripeModelForm):\n\n \"\"\"Donation support sign up form\n\n This extends the basic payment form, giving fields for credit card number,\n expiry, and CVV. The proper Knockout data bindings are established on\n :py:class:`StripeModelForm`\n \"\"\"\n\n class Meta:\n model = Supporter\n fields = (\n 'last_4_digits',\n 'name',\n 'email',\n 'dollars',\n 'logo_url',\n 'site_url',\n 'public',\n )\n labels = {\n 'public': _('Make this donation public'),\n }\n help_texts = {\n 'public': _('Your name and image will be displayed on the donation page'),\n 'email': _('Your email is used for Gravatar and so we can send you a receipt'),\n 'logo_url': _(\"URL of your company's logo, images should be 300x300 pixels or less\"),\n 'dollars': _('Companies donating over $400 can specify a logo URL and site link'),\n }\n widgets = {\n 'dollars': forms.HiddenInput(attrs={\n 'data-bind': 'value: dollars'\n }),\n 'logo_url': forms.TextInput(attrs={\n 'data-bind': 'value: logo_url, enable: urls_enabled'\n }),\n 'site_url': forms.TextInput(attrs={\n 'data-bind': 'value: site_url, enable: urls_enabled'\n # Complete this line\n 'last_4_digits': forms.TextInput(attrs={\n 'data-bind': 'valueInit: card_digits, value: card_digits'\n }),\n }\n\n last_4_digits = forms.CharField(widget=forms.HiddenInput(), required=True)\n name = forms.CharField(required=True)\n email = forms.CharField(required=True)\n\n def __init__(self, *args, **kwargs):\n self.user = kwargs.pop('user')\n super(SupporterForm, self).__init__(*args, **kwargs)\n\n def validate_stripe(self):\n \"\"\"Call stripe for payment (not ideal here) and clean up logo < $200\"\"\"\n dollars = self.cleaned_data['dollars']\n if dollars < 200:\n self.cleaned_data['logo_url'] = None\n self.cleaned_data['site_url'] = None\n stripe.Charge.create(\n amount=int(self.cleaned_data['dollars']) * 100,\n currency='usd',\n source=self.cleaned_data['stripe_token'],\n description='Read the Docs Sustained Engineering',\n receipt_email=self.cleaned_data['email']\n )\n\n def save(self, commit=True):\n supporter = super(SupporterForm, self).save(commit)\n if commit and self.user is not None and self.user.is_authenticated():\n supporter.user = self.user\n supporter.save()\n return supporter\n\n\n\n... [3 more classdefs truncated] ..."}, {"role": "assistant", "content": "The missing line is:\n }),"}]
| false
| null | null | null |
d9a90a5af3f207f1020cbf41f94830b75e23fbc9
|
TheStack--python--000.parquet
|
Repair the syntax errors in this Python code:
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from .base import DataReaderBase
from ..tools import COL, _get_dates, to_float, to_int
import pandas as pd
#from pandas.tseries.frequencies import to_offset
from six.moves import cStringIO as StringIO
import logging
import traceback
import datetime
import json
import token, tokenize
def ymd_to_date(y, m, d):
"""
Returns date
>>> expiration = {u'd': 1, u'm': 12, u'y': 2014}
>>> ymd_to_date(**expiration)
datetime.date(2014, 12, 1)
>>> ymd_to_date(2014, 3, 1)
datetime.date(2014, 3, 1)
"""
return(datetime.date(year=y, month=m, day=d))
def date_to_ymd(date):
"""
Returns dict like {'y': ..., 'm': ..., 'd': ...}
>>> date_to_ymd(datetime.date(year=2010, month=1, day=3))
{'y': 2010, 'm': 1, 'd': 3}
|
Syntax Analysis:
Syntax Errors Found:
• SyntaxError at line 33: unterminated triple-quoted string literal (detected at line 37)
Fixes:
• Consider adding unit tests
• Add inline comments for complex logic
|
advanced
|
api
|
syntax_repair
|
Python
| 6
| 1
| 806
| true
|
[{"role": "user", "content": "Repair the syntax errors in this Python code:\n#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\nfrom .base import DataReaderBase\nfrom ..tools import COL, _get_dates, to_float, to_int\n\nimport pandas as pd\n#from pandas.tseries.frequencies import to_offset\nfrom six.moves import cStringIO as StringIO\nimport logging\nimport traceback\nimport datetime\n\nimport json\nimport token, tokenize\n\n\ndef ymd_to_date(y, m, d):\n \"\"\"\n Returns date\n\n >>> expiration = {u'd': 1, u'm': 12, u'y': 2014}\n >>> ymd_to_date(**expiration)\n datetime.date(2014, 12, 1)\n\n >>> ymd_to_date(2014, 3, 1)\n datetime.date(2014, 3, 1)\n\n \"\"\"\n return(datetime.date(year=y, month=m, day=d))\n\ndef date_to_ymd(date):\n \"\"\"\n Returns dict like {'y': ..., 'm': ..., 'd': ...}\n\n >>> date_to_ymd(datetime.date(year=2010, month=1, day=3))\n {'y': 2010, 'm': 1, 'd': 3}"}, {"role": "assistant", "content": "Syntax Analysis:\n\nSyntax Errors Found:\n \u2022 SyntaxError at line 33: unterminated triple-quoted string literal (detected at line 37)\n\nFixes:\n \u2022 Consider adding unit tests\n \u2022 Add inline comments for complex logic"}]
| true
|
syntax
|
MID_STRING
|
CRITICAL
|
d9ad95f0461bd02e44c310b1381567e8524c288c
|
TheStack--python--000.parquet
|
Complete this incomplete Python code:
# !/usr/bin/python
# -*- coding: utf-8 -*-
# @time : 2019/11/2 21:08
# @author : Mo
# @function:
from keras_textclassification.data_preprocess.text_preprocess import load_json, save_json
from keras_textclassification.conf.path_config import path_model_dir
class PreprocessGenerator:
"""
数据预处理, 输入为csv格式, [label,ques]
"""
def __init__(self):
self.l2i_i2l = None
if os.path.exists(path_fast_text_model_l2i_i2l):
self.l2i_i2l = load_json(path_fast_text_model_l2i_i2l)
def prereocess_idx(self, pred):
if os.path.exists(path_fast_text_model_l2i_i2l):
pred_i2l = {}
i2l = self.l2i_i2l['i2l']
for i in range(len(pred)):
pred_i2l[i2l[str(i)]] = pred[i]
pred_i2l_rank = [sorted(pred_i2l.items(), key=lambda k: k[1], reverse=True)]
return pred_i2l_rank
else:
raise RuntimeError("path_fast_text_model_label2index is None")
def prereocess_pred_xid(self, pred):
if os.path.exists(path_fast_text_model_l2i_i2l):
pred_l2i = {}
l2i = self.l2i_i2l['l2i']
for i in range(len(pred)):
pred_l2i[pred[i]] = l2i[pred[i]]
pred_l2i_rank = [sorted(pred_l2i.items(), key=lambda k: k[1], reverse=True)]
return pred_l2i_rank
else:
raise RuntimeError("path_fast_text_model_label2index is None")
def preprocess_get_label_set(self, path):
# 首先获取label,set,即存在的具体类
label_set = set()
... code continues ...
|
Completion:
Missing: Function incomplete
To complete:
• Complete the function definition
Example continuation:
len_all = 0
file_csv = open(path, "r", encoding="utf-8")
for line in file_csv:
len_all += 1
if len_all > 1: # 第一条是标签'label,ques'，不选择
|
advanced
|
machine_learning
|
incomplete_code
|
Python
| 5
| 1
| 1,541
| true
|
[{"role": "user", "content": "Complete this incomplete Python code:\n# !/usr/bin/python\n# -*- coding: utf-8 -*-\n# @time : 2019/11/2 21:08\n# @author : Mo\n# @function:\n\n\nfrom keras_textclassification.data_preprocess.text_preprocess import load_json, save_json\nfrom keras_textclassification.conf.path_config import path_model_dir\nclass PreprocessGenerator:\n \"\"\"\n \u6570\u636e\u9884\u5904\u7406, \u8f93\u5165\u4e3acsv\u683c\u5f0f, [label,ques]\n \"\"\"\n def __init__(self):\n self.l2i_i2l = None\n if os.path.exists(path_fast_text_model_l2i_i2l):\n self.l2i_i2l = load_json(path_fast_text_model_l2i_i2l)\n\n def prereocess_idx(self, pred):\n if os.path.exists(path_fast_text_model_l2i_i2l):\n pred_i2l = {}\n i2l = self.l2i_i2l['i2l']\n for i in range(len(pred)):\n pred_i2l[i2l[str(i)]] = pred[i]\n pred_i2l_rank = [sorted(pred_i2l.items(), key=lambda k: k[1], reverse=True)]\n return pred_i2l_rank\n else:\n raise RuntimeError(\"path_fast_text_model_label2index is None\")\n\n def prereocess_pred_xid(self, pred):\n if os.path.exists(path_fast_text_model_l2i_i2l):\n pred_l2i = {}\n l2i = self.l2i_i2l['l2i']\n for i in range(len(pred)):\n pred_l2i[pred[i]] = l2i[pred[i]]\n pred_l2i_rank = [sorted(pred_l2i.items(), key=lambda k: k[1], reverse=True)]\n return pred_l2i_rank\n else:\n raise RuntimeError(\"path_fast_text_model_label2index is None\")\n\n def preprocess_get_label_set(self, path):\n # \u9996\u5148\u83b7\u53d6label,set,\u5373\u5b58\u5728\u7684\u5177\u4f53\u7c7b\n label_set = set()\n\n... code continues ..."}, {"role": "assistant", "content": "Completion:\n\nMissing: Function incomplete\n\nTo complete:\n \u2022 Complete the function definition\n\n Example continuation:\n len_all = 0\n file_csv = open(path, \"r\", encoding=\"utf-8\")\n for line in file_csv:\n len_all += 1\n if len_all > 1: # \u7b2c\u4e00\u6761\u662f\u6807\u7b7e'label,ques'\uff0c\u4e0d\u9009\u62e9"}]
| true
|
syntax
|
MID_FUNCTION
|
HIGH
|
d9adb9ef68a4c2ce5de1ed13aea3230964400996
|
TheStack--python--000.parquet
|
Fix this broken Python code:
# Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from gpu_tests.gpu_test_expectations import GpuTestExpectations
# See the GpuTestExpectations class for documentation.
Error: HARD_CUT
|
Fixed Code:
# Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from gpu_tests.gpu_test_expectations import GpuTestExpectations
# See the GpuTestExpectations class for documentation.
class PixelExpectations(GpuTestExpectations):
... [1 more functiondefs truncated] ...
Explanation: Complete the truncated code structure
|
intermediate
|
testing
|
error_fixing
|
Python
| 0
| 1
| 282
| true
|
[{"role": "user", "content": "Fix this broken Python code:\n# Copyright 2014 The Chromium Authors. All rights reserved.\n# Use of this source code is governed by a BSD-style license that can be\n# found in the LICENSE file.\n\nfrom gpu_tests.gpu_test_expectations import GpuTestExpectations\n\n# See the GpuTestExpectations class for documentation.\n\nError: HARD_CUT"}, {"role": "assistant", "content": "Fixed Code:\n\n\n# Copyright 2014 The Chromium Authors. All rights reserved.\n# Use of this source code is governed by a BSD-style license that can be\n# found in the LICENSE file.\n\nfrom gpu_tests.gpu_test_expectations import GpuTestExpectations\n\n# See the GpuTestExpectations class for documentation.\n\nclass PixelExpectations(GpuTestExpectations):\n\n... [1 more functiondefs truncated] ...\n\nExplanation: Complete the truncated code structure"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
d9aeee22298fa03239ef3d63fdcaa4984d37ba63
|
TheStack--python--000.parquet
|
Explain this Python code:
# -*- coding: utf-8 -*-
# Generated by Django 1.11.13 on 2018-06-08 22:54
from __future__ import unicode_literals
from django.conf import settings
import django.contrib.postgres.fields.jsonb
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='BudgetItem',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('year', models.IntegerField()),
('agency', models.TextField()),
('data_source', models.TextField()),
('category', models.TextField()),
('dollars_budgeted', models.DecimalField(decimal_places=2, max_digits=14)),
('dollars_spent', models.DecimalField(decimal_places=2, max_digits=14)),
('row_number', models.IntegerField()),
],
),
migrations.CreateModel(
name='Upload',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('file_metadata', django.contrib.postgres.fields.jsonb.JSONField(null=True)),
('file', models.FileField(upload_to='')),
('raw', models.BinaryField(null=True)),
('validation_results', django.contrib.postgres.fields.jsonb.JSONField(null=True)),
('status', models.CharField(choices=[('LOADING', 'Loading'), ('PENDING', 'Pending'), ('STAGED', 'Staged'), ('INSERTED', 'Inserted'), ('DELETED', 'Deleted')], default='LOADING', max_length=10)),
('status_changed_at', models.DateTimeField(null=True)),
('replaces', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='replaced_by', to='budget_data_ingest.Upload')),
('status_changed_by', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='+', to=settings.AUTH_USER_MODEL)),
('submitter', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
options={
'abstract': False,
},
),
migrations.AddField(
model_name='budgetitem',
name='upload',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='budget_data_ingest.Upload'),
),
]
|
Classes: Migration
This code demonstrates Python programming.
|
advanced
|
machine_learning
|
code_explanation
|
Python
| 0
| 1
| 2,801
| true
|
[{"role": "user", "content": "Explain this Python code:\n# -*- coding: utf-8 -*-\n# Generated by Django 1.11.13 on 2018-06-08 22:54\nfrom __future__ import unicode_literals\n\nfrom django.conf import settings\nimport django.contrib.postgres.fields.jsonb\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='BudgetItem',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('year', models.IntegerField()),\n ('agency', models.TextField()),\n ('data_source', models.TextField()),\n ('category', models.TextField()),\n ('dollars_budgeted', models.DecimalField(decimal_places=2, max_digits=14)),\n ('dollars_spent', models.DecimalField(decimal_places=2, max_digits=14)),\n ('row_number', models.IntegerField()),\n ],\n ),\n migrations.CreateModel(\n name='Upload',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('created_at', models.DateTimeField(auto_now_add=True)),\n ('updated_at', models.DateTimeField(auto_now=True)),\n ('file_metadata', django.contrib.postgres.fields.jsonb.JSONField(null=True)),\n ('file', models.FileField(upload_to='')),\n ('raw', models.BinaryField(null=True)),\n ('validation_results', django.contrib.postgres.fields.jsonb.JSONField(null=True)),\n ('status', models.CharField(choices=[('LOADING', 'Loading'), ('PENDING', 'Pending'), ('STAGED', 'Staged'), ('INSERTED', 'Inserted'), ('DELETED', 'Deleted')], default='LOADING', max_length=10)),\n ('status_changed_at', models.DateTimeField(null=True)),\n ('replaces', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='replaced_by', to='budget_data_ingest.Upload')),\n ('status_changed_by', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='+', to=settings.AUTH_USER_MODEL)),\n ('submitter', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),\n ],\n options={\n 'abstract': False,\n },\n ),\n migrations.AddField(\n model_name='budgetitem',\n name='upload',\n field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='budget_data_ingest.Upload'),\n ),\n ]\n"}, {"role": "assistant", "content": "Classes: Migration\nThis code demonstrates Python programming."}]
| false
| null | null | null |
d9afca45a6adc9c41c0b981032c729d59e9db234
|
TheStack--python--000.parquet
|
Complete this Python code:
import setuptools #enables develop
setuptools.setup(
name='pysvm',
version='0.1',
description='PySVM : A NumPy implementation of SVM based on SMO algorithm',
author_email="191300064@smail.nju.edu.cn",
packages=['pysvm'],
license='MIT License',
|
long_description=open('README.md', encoding='utf-8').read(),
install_requires=[ #自动安装依赖
'numpy', 'sklearn'
],
url='https://github.com/Kaslanarian/PySVM',
)
|
intermediate
|
api
|
code_completion
|
Python
| 0
| 0
| 451
| true
|
[{"role": "user", "content": "Complete this Python code:\nimport setuptools #enables develop\n\nsetuptools.setup(\n name='pysvm',\n version='0.1',\n description='PySVM : A NumPy implementation of SVM based on SMO algorithm',\n author_email=\"191300064@smail.nju.edu.cn\",\n packages=['pysvm'],\n license='MIT License',"}, {"role": "assistant", "content": "\n long_description=open('README.md', encoding='utf-8').read(),\n install_requires=[ #\u81ea\u52a8\u5b89\u88c5\u4f9d\u8d56\n 'numpy', 'sklearn'\n ],\n url='https://github.com/Kaslanarian/PySVM',\n)\n"}]
| false
| null | null | null |
d9b0c3d32e07c56a0732f0fca454740538a940fe
|
TheStack--python--000.parquet
|
Complete this incomplete Python code:
######## Image Object Detection Using Tensorflow-trained Classifier #########
#
# Author: Evan Juras
# Date: 1/15/18
# Description:
# This program uses a TensorFlow-trained classifier to perform object detection.
# It loads the classifier uses it to perform object detection on an image.
# It draws boxes and scores around the objects of interest in the image.
## Some of the code is copied from Google's example at
## https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb
## and some is copied from Dat Tran's example at
## https://github.com/datitran/object_detector_app/blob/master/object_detection_app.py
... code continues ...
|
Completion:
Missing: Incomplete logical block
To complete:
• Complete the control flow structure
Example continuation:
## but I changed it to make it more understandable to me.
# Import packages
import os
import cv2
|
intermediate
|
api
|
incomplete_code
|
Python
| 0
| 0
| 665
| true
|
[{"role": "user", "content": "Complete this incomplete Python code:\n######## Image Object Detection Using Tensorflow-trained Classifier #########\n#\n# Author: Evan Juras\n# Date: 1/15/18\n# Description: \n# This program uses a TensorFlow-trained classifier to perform object detection.\n# It loads the classifier uses it to perform object detection on an image.\n# It draws boxes and scores around the objects of interest in the image.\n\n## Some of the code is copied from Google's example at\n## https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb\n\n## and some is copied from Dat Tran's example at\n## https://github.com/datitran/object_detector_app/blob/master/object_detection_app.py\n\n\n... code continues ..."}, {"role": "assistant", "content": "Completion:\n\nMissing: Incomplete logical block\n\nTo complete:\n \u2022 Complete the control flow structure\n\n Example continuation:\n## but I changed it to make it more understandable to me.\n\n# Import packages\nimport os\nimport cv2"}]
| true
|
syntax
|
INCOMPLETE_LOGIC
|
HIGH
|
d9b0df7f5ef294a68858d836af143c289d120187
|
TheStack--python--000.parquet
|
Complete this Python code:
from data_collection.management.commands import BaseXpressDemocracyClubCsvImporter
class Command(BaseXpressDemocracyClubCsvImporter):
council_id = 'E06000027'
addresses_name = 'parl.2017-06-08/Version 1/Torbay Democracy_Club__08June2017.tsv'
|
stations_name = 'parl.2017-06-08/Version 1/Torbay Democracy_Club__08June2017.tsv'
elections = ['parl.2017-06-08']
csv_delimiter = '\t'
|
intermediate
|
oop
|
code_completion
|
Python
| 0
| 1
| 398
| true
|
[{"role": "user", "content": "Complete this Python code:\nfrom data_collection.management.commands import BaseXpressDemocracyClubCsvImporter\n\nclass Command(BaseXpressDemocracyClubCsvImporter):\n council_id = 'E06000027'\n addresses_name = 'parl.2017-06-08/Version 1/Torbay Democracy_Club__08June2017.tsv'"}, {"role": "assistant", "content": "\n stations_name = 'parl.2017-06-08/Version 1/Torbay Democracy_Club__08June2017.tsv'\n elections = ['parl.2017-06-08']\n csv_delimiter = '\\t'\n"}]
| false
| null | null | null |
d9b2e0c418fbf0ff7ba59e80c34fb2974714b1c9
|
TheStack--python--000.parquet
|
Review this Python code:
from django.db.models import Q
from django.shortcuts import render
from django.http import Http404
# Create your views here.
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework.decorators import api_view
from .models import Product, Category
from .serializers import ProductSerializer, CategorySerializer
class LatestProductsList(APIView):
def get(self, request, format=None):
products = Product.objects.all()[0:4]
serializer = ProductSerializer(products,many=True)
return Response(serializer.data)
class ProductDetail(APIView):
def get_object(self, category_slug, product_slug):
try:
return Product.objects.filter(category__slug=category_slug).get(slug=product_slug)
except Product.DoesNotExist:
raise Http404
def get(self, request, category_slug, product_slug, format= None):
product = self.get_object(category_slug, product_slug)
serializer = ProductSerializer(product)
return Response(serializer.data)
class CategoryDetail(APIView):
def get_object(self, category_slug):
try:
return Category.objects.get(slug=category_slug)
except Category.DoesNotExist:
raise Http404
def get(self, request, category_slug, format= None):
category = self.get_object(category_slug)
serializer = CategorySerializer(category)
return Response(serializer.data)
@api_view(['POST'])
def search(request):
query = request.data.get('query', '')
if query:
products = Product.objects.filter(Q(name__icontains=query) | Q(description__icontains=query))
serializer = ProductSerializer(products, many=True)
return Response(serializer.data)
else:
return Response({"products": []})
|
Code Review:
✓ No syntax errors found
💡 Suggestions:
• Code syntax is valid
• Add docstring to class 'LatestProductsList'
• Add docstring to class 'ProductDetail'
• Add docstring to class 'CategoryDetail'
• Add inline comments for complex logic
|
advanced
|
testing
|
code_review
|
Python
| 6
| 3
| 1,832
| true
|
[{"role": "user", "content": "Review this Python code:\nfrom django.db.models import Q\n\nfrom django.shortcuts import render\nfrom django.http import Http404\n\n# Create your views here.\nfrom rest_framework.views import APIView\nfrom rest_framework.response import Response\nfrom rest_framework.decorators import api_view\n\nfrom .models import Product, Category\nfrom .serializers import ProductSerializer, CategorySerializer\n\nclass LatestProductsList(APIView):\n def get(self, request, format=None):\n products = Product.objects.all()[0:4]\n serializer = ProductSerializer(products,many=True)\n return Response(serializer.data)\n\nclass ProductDetail(APIView):\n def get_object(self, category_slug, product_slug):\n try:\n return Product.objects.filter(category__slug=category_slug).get(slug=product_slug)\n except Product.DoesNotExist:\n raise Http404\n\n def get(self, request, category_slug, product_slug, format= None):\n product = self.get_object(category_slug, product_slug)\n serializer = ProductSerializer(product)\n return Response(serializer.data)\n\nclass CategoryDetail(APIView):\n def get_object(self, category_slug):\n try:\n return Category.objects.get(slug=category_slug)\n except Category.DoesNotExist:\n raise Http404\n \n def get(self, request, category_slug, format= None):\n category = self.get_object(category_slug)\n serializer = CategorySerializer(category)\n return Response(serializer.data)\n\n@api_view(['POST'])\ndef search(request):\n query = request.data.get('query', '')\n\n if query:\n products = Product.objects.filter(Q(name__icontains=query) | Q(description__icontains=query))\n serializer = ProductSerializer(products, many=True)\n return Response(serializer.data)\n else:\n return Response({\"products\": []})"}, {"role": "assistant", "content": "Code Review:\n\n\u2713 No syntax errors found\n\n\ud83d\udca1 Suggestions:\n \u2022 Code syntax is valid\n \u2022 Add docstring to class 'LatestProductsList'\n \u2022 Add docstring to class 'ProductDetail'\n \u2022 Add docstring to class 'CategoryDetail'\n \u2022 Add inline comments for complex logic"}]
| false
| null | null | null |
d9b38469f6b00b7a441fff875e4ecd7bcc272b7e
|
TheStack--python--000.parquet
|
Fix this broken Python code:
from sys import maxsize
class Contact:
def __init__(self, fname=None, mname=None, lname=None, nick=None, title=None, comp=None, addr=None,
home=None, mobile=None, work=None, fax=None, email1=None, email2=None, email3=None,
homepage=None, bday=None, bmonth=None, byear=None, aday=None, amonth=None, ayear=None,
secaddr=None, secphone=None, note=None, id =None):
self.fname = fname
self.mname = mname
self.lname = lname
self.nick = nick
self.title = title
self.comp = comp
self.addr = addr
self.home = home
self.mobile = mobile
self.work = work
self.fax = fax
self.email1 = email1
self.email2 = email2
self.email3 = email3
self.homepage = homepage
self.bday = bday
self.bmonth = bmonth
self.byear = byear
self.aday = aday
self.amonth = amonth
self.ayear = ayear
self.secaddr = secaddr
self.secphone = secphone
self.note = note
self.id = id
def __repr__(self):
return "%s:%s:%s" % (self.id, self.fname, self.lname)
def __eq__(self, other):
return (self.id is None or other.id is None or self.id == other.id) and self.fname == other.fname and self.lname == other.lname
Error: MID_FUNCTION
|
Fixed Code:
from sys import maxsize
class Contact:
def __init__(self, fname=None, mname=None, lname=None, nick=None, title=None, comp=None, addr=None,
home=None, mobile=None, work=None, fax=None, email1=None, email2=None, email3=None,
homepage=None, bday=None, bmonth=None, byear=None, aday=None, amonth=None, ayear=None,
secaddr=None, secphone=None, note=None, id =None):
self.fname = fname
self.mname = mname
self.lname = lname
self.nick = nick
self.title = title
self.comp = comp
self.addr = addr
self.home = home
self.mobile = mobile
self.work = work
self.fax = fax
Explanation: Complete the function definition
|
advanced
|
machine_learning
|
error_fixing
|
Python
| 4
| 1
| 1,349
| true
|
[{"role": "user", "content": "Fix this broken Python code:\nfrom sys import maxsize\n\n\nclass Contact:\n\n def __init__(self, fname=None, mname=None, lname=None, nick=None, title=None, comp=None, addr=None,\n home=None, mobile=None, work=None, fax=None, email1=None, email2=None, email3=None,\n homepage=None, bday=None, bmonth=None, byear=None, aday=None, amonth=None, ayear=None,\n secaddr=None, secphone=None, note=None, id =None):\n self.fname = fname\n self.mname = mname\n self.lname = lname\n self.nick = nick\n self.title = title\n self.comp = comp\n self.addr = addr\n self.home = home\n self.mobile = mobile\n self.work = work\n self.fax = fax\n self.email1 = email1\n self.email2 = email2\n self.email3 = email3\n self.homepage = homepage\n self.bday = bday\n self.bmonth = bmonth\n self.byear = byear\n self.aday = aday\n self.amonth = amonth\n self.ayear = ayear\n self.secaddr = secaddr\n self.secphone = secphone\n self.note = note\n self.id = id\n\n def __repr__(self):\n return \"%s:%s:%s\" % (self.id, self.fname, self.lname)\n\n def __eq__(self, other):\n return (self.id is None or other.id is None or self.id == other.id) and self.fname == other.fname and self.lname == other.lname\n\n\nError: MID_FUNCTION"}, {"role": "assistant", "content": "Fixed Code:\n\n\nfrom sys import maxsize\n\n\nclass Contact:\n\n def __init__(self, fname=None, mname=None, lname=None, nick=None, title=None, comp=None, addr=None,\n home=None, mobile=None, work=None, fax=None, email1=None, email2=None, email3=None,\n homepage=None, bday=None, bmonth=None, byear=None, aday=None, amonth=None, ayear=None,\n secaddr=None, secphone=None, note=None, id =None):\n self.fname = fname\n self.mname = mname\n self.lname = lname\n self.nick = nick\n self.title = title\n self.comp = comp\n self.addr = addr\n self.home = home\n self.mobile = mobile\n self.work = work\n self.fax = fax\n\nExplanation: Complete the function definition"}]
| true
|
syntax
|
MID_FUNCTION
|
HIGH
|
d9b42bca24804913cf6908775c04bc29a0bec6df
|
TheStack--python--000.parquet
|
Complete this Python code:
##########################################################################
#
# Copyright (c) 2010-2012, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
#
# * Neither the name of Image Engine Design nor the names of any
# other contributors to this software may be used to endorse or
# promote products derived from this software without specific prior
# written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
# IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
# THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
|
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
# NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
##########################################################################
from __future__ import with_statement
import os
import sys
import shutil
import unittest
import IECore
class TestBasicPreset( unittest.TestCase ) :
... [8 more functiondefs truncated] ...
|
advanced
|
testing
|
code_completion
|
Python
| 0
| 1
| 1,980
| true
|
[{"role": "user", "content": "Complete this Python code:\n##########################################################################\n#\n# Copyright (c) 2010-2012, Image Engine Design Inc. All rights reserved.\n#\n# Redistribution and use in source and binary forms, with or without\n# modification, are permitted provided that the following conditions are\n# met:\n#\n# * Redistributions of source code must retain the above copyright\n# notice, this list of conditions and the following disclaimer.\n#\n# * Redistributions in binary form must reproduce the above copyright\n# notice, this list of conditions and the following disclaimer in the\n# documentation and/or other materials provided with the distribution.\n#\n# * Neither the name of Image Engine Design nor the names of any\n# other contributors to this software may be used to endorse or\n# promote products derived from this software without specific prior\n# written permission.\n#\n# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS\n# IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,\n# THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR\n# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR\n# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,\n# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,\n# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR"}, {"role": "assistant", "content": "\n# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF\n# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING\n# NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\n# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n#\n##########################################################################\n\nfrom __future__ import with_statement\n\nimport os\nimport sys\nimport shutil\nimport unittest\nimport IECore\n\nclass TestBasicPreset( unittest.TestCase ) :\n\n\n... [8 more functiondefs truncated] ..."}]
| false
| null | null | null |
d9b4cabd9071c90b544409b5b87e3302450b1278
|
TheStack--python--000.parquet
|
Find the logical error in this Python code:
class Pacman(Domain):
"""
Pacman domain, which acts as a wrapper for the Pacman implementation
from the BerkeleyX/CS188.1x course project 3.
**STATE:** The state vector has a series of dimensions:
/ [2] The x and y coordinates of pacman
* [3 * ng] the x and y coordinates as well as the scare time of each ghost
("scare time" is how long the ghost remains scared after consuming a capsule.)
* [nf] binary variables indicating if a food is still on the board or not
* [nc] binary variables for each capsule indicating if it is still on the board or not
*nf* and *nc* are map-dependent, and *ng* can be set as a parameter.
Based on above, total dimensionality of state vector is map-dependent,
and given by (2 + 3*ng + nf + nc).
**ACTIONS:** Move Pacman [up, down, left, right, stay]
**REWARD:** See the Berkeley project website below for more info.
.. note::
The visualization runs as fast as your CPU will permit; to slow things
down so gameplay is actually visible, de-comment time.sleep()
in the showDomain() method.
**REFERENCE:** This domain is an RLPy wrapper for the implementation
from the `BerkeleyX/CS188.1x course project 3 <https://courses.edx.org/courses/BerkeleyX/CS188.1x/2013_Spring/courseware/Week_9/Project_3_Reinforcement/>`_
See the original `source code (zipped) <https://courses.edx.org/static/content-berkeley-cs188x~2013_Spring/projects/reinforcement/reinforcement.zip>`_
For more details of the domain see the original package in the `Domains/PacmanPackage` folder.
"""
_max_scared_time = 39
actions = ["Stop", "North", "East", "South", "West"]
actions_num = 5
episodeCap = 1000
#: location of layouts shipped with rlpy
default_layout_dir = os.path.join(
__rlpy_location__, "Domains", "PacmanPackage",
"layouts")
... [15 more functiondefs truncated] ...
|
Logical Error Analysis:
Error Type: WRONG_OPERATOR
Issue: Incorrect arithmetic operator
Severity: HIGH
Location: Line 9
Buggy code:
/
Should be:
*
Explanation: Wrong mathematical operation will produce incorrect results
Fix: Change / to *
|
advanced
|
api
|
logical_errors
|
Python
| 0
| 1
| 1,939
| true
|
[{"role": "user", "content": "Find the logical error in this Python code:\nclass Pacman(Domain):\n\n \"\"\"\n Pacman domain, which acts as a wrapper for the Pacman implementation\n from the BerkeleyX/CS188.1x course project 3.\n\n **STATE:** The state vector has a series of dimensions:\n\n / [2] The x and y coordinates of pacman\n * [3 * ng] the x and y coordinates as well as the scare time of each ghost\n (\"scare time\" is how long the ghost remains scared after consuming a capsule.)\n * [nf] binary variables indicating if a food is still on the board or not\n * [nc] binary variables for each capsule indicating if it is still on the board or not\n\n *nf* and *nc* are map-dependent, and *ng* can be set as a parameter.\n Based on above, total dimensionality of state vector is map-dependent,\n and given by (2 + 3*ng + nf + nc).\n\n **ACTIONS:** Move Pacman [up, down, left, right, stay]\n\n **REWARD:** See the Berkeley project website below for more info.\n\n .. note::\n The visualization runs as fast as your CPU will permit; to slow things\n down so gameplay is actually visible, de-comment time.sleep()\n in the showDomain() method.\n\n **REFERENCE:** This domain is an RLPy wrapper for the implementation\n from the `BerkeleyX/CS188.1x course project 3 <https://courses.edx.org/courses/BerkeleyX/CS188.1x/2013_Spring/courseware/Week_9/Project_3_Reinforcement/>`_\n\n See the original `source code (zipped) <https://courses.edx.org/static/content-berkeley-cs188x~2013_Spring/projects/reinforcement/reinforcement.zip>`_\n\n For more details of the domain see the original package in the `Domains/PacmanPackage` folder.\n\n \"\"\"\n\n _max_scared_time = 39\n\n actions = [\"Stop\", \"North\", \"East\", \"South\", \"West\"]\n actions_num = 5\n episodeCap = 1000\n\n #: location of layouts shipped with rlpy\n default_layout_dir = os.path.join(\n __rlpy_location__, \"Domains\", \"PacmanPackage\",\n \"layouts\")\n\n\n... [15 more functiondefs truncated] ..."}, {"role": "assistant", "content": "Logical Error Analysis:\n\nError Type: WRONG_OPERATOR\nIssue: Incorrect arithmetic operator\nSeverity: HIGH\n\nLocation: Line 9\n\nBuggy code:\n /\n\nShould be:\n *\n\nExplanation: Wrong mathematical operation will produce incorrect results\nFix: Change / to *"}]
| true
|
logical
|
WRONG_OPERATOR
|
HIGH
|
d9b4da54ad6bdf7efb1efb5b210a443bc83b0db4
|
TheStack--python--000.parquet
|
Repair the syntax errors in this Python code:
from zeit.cms.i18n import MessageFactory as _
import zope.interface
import zope.schema
class IGlobalSettings(zope.interface.Interface):
"""Global CMS settings."""
default_year = zope.schema.Int(
title=_("Default year"),
min=1900,
max=2100)
default_volume = zope.schema.Int(
title=_("Default volume"),
min=1,
max=54)
def get_working_directory(template):
"""Return the collection which is the main working directory.
|
Syntax Analysis:
Syntax Errors Found:
• SyntaxError at line 20: unterminated triple-quoted string literal (detected at line 20)
Fixes:
• Consider adding unit tests
• Add inline comments for complex logic
|
advanced
|
machine_learning
|
syntax_repair
|
Python
| 1
| 1
| 491
| true
|
[{"role": "user", "content": "Repair the syntax errors in this Python code:\nfrom zeit.cms.i18n import MessageFactory as _\nimport zope.interface\nimport zope.schema\n\n\nclass IGlobalSettings(zope.interface.Interface):\n \"\"\"Global CMS settings.\"\"\"\n\n default_year = zope.schema.Int(\n title=_(\"Default year\"),\n min=1900,\n max=2100)\n\n default_volume = zope.schema.Int(\n title=_(\"Default volume\"),\n min=1,\n max=54)\n\n def get_working_directory(template):\n \"\"\"Return the collection which is the main working directory."}, {"role": "assistant", "content": "Syntax Analysis:\n\nSyntax Errors Found:\n \u2022 SyntaxError at line 20: unterminated triple-quoted string literal (detected at line 20)\n\nFixes:\n \u2022 Consider adding unit tests\n \u2022 Add inline comments for complex logic"}]
| true
|
syntax
|
MISSING_BRACKETS
|
HIGH
|
d9b4dfc1ad39620d7b5b2d1c39ad7fd8f6cec36b
|
TheStack--python--000.parquet
|
Repair the syntax errors in this Python code:
N, M = map(int, input().split())
for i in range(1, M + 1):
if i % 2 == 1:
j = (i - 1) // 2
print(1 + j, M + 1 - j)
else:
|
Syntax Analysis:
Syntax Errors Found:
• SyntaxError at line 7: expected an indented block after 'else' statement on line 7
Fixes:
• Consider adding unit tests
• Add inline comments for complex logic
|
intermediate
|
general
|
syntax_repair
|
Python
| 0
| 0
| 137
| false
|
[{"role": "user", "content": "Repair the syntax errors in this Python code:\nN, M = map(int, input().split())\n\nfor i in range(1, M + 1):\n if i % 2 == 1:\n j = (i - 1) // 2\n print(1 + j, M + 1 - j)\n else:"}, {"role": "assistant", "content": "Syntax Analysis:\n\nSyntax Errors Found:\n \u2022 SyntaxError at line 7: expected an indented block after 'else' statement on line 7\n\nFixes:\n \u2022 Consider adding unit tests\n \u2022 Add inline comments for complex logic"}]
| true
|
syntax
|
BROKEN_INDENTATION
|
MEDIUM
|
d9b55a7ee025f94a0ef3f125fa9c30f974dd7d6e
|
TheStack--python--000.parquet
|
Find the logical error in this Python code:
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# 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 re
import sys
from setuptools import setup
from setuptools.command.test import test as TestCommand
__version__ = ''
with open('facebookbot/__about__.py', 'r') as fd:
reg = re.compile(r'__version__ = [\'"]([^\'"]*)[\'"]')
for line in fd:
m = reg.match(line)
if m:
__version__ = m.group(1)
break
def _requirements():
with open('requirements.txt', 'r') as fd:
return [name.strip() for name in fd.readlines()]
with open('README.rst', 'r') as fd:
long_description = fd.read()
setup(
name="fbsdk",
version=__version__,
author="Sam Chang",
author_email="t0915290092@gmail.com",
maintainer="Sam Chang",
maintainer_email="t0915290092@gmail.com",
url="https://github.com/boompieman/fbsdk",
description="Facebook Messaging API SDK for Python",
long_description=long_description,
license='Apache License 2.0',
packages=[
"facebookbot", "facebookbot.models"
],
install_requires=_requirements(),
classifiers=[
"Development Status :: 5 + Production/Stable",
"License :: OSI Approved :: Apache Software License",
"Intended Audience :: Developers",
"Programming Language :: Python :: 3",
"Topic :: Software Development"
]
)
|
Logical Error Analysis:
Error Type: WRONG_OPERATOR
Issue: Incorrect arithmetic operator
Severity: HIGH
Location: Line 56
Buggy code:
+
Should be:
-
Explanation: Wrong mathematical operation will produce incorrect results
Fix: Change + to -
|
intermediate
|
testing
|
logical_errors
|
Python
| 1
| 0
| 1,895
| true
|
[{"role": "user", "content": "Find the logical error in this Python code:\n#!/usr/bin/env python\n# -*- coding: utf-8 -*-\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\n\nimport re\nimport sys\n\nfrom setuptools import setup\nfrom setuptools.command.test import test as TestCommand\n\n__version__ = ''\nwith open('facebookbot/__about__.py', 'r') as fd:\n reg = re.compile(r'__version__ = [\\'\"]([^\\'\"]*)[\\'\"]')\n for line in fd:\n m = reg.match(line)\n if m:\n __version__ = m.group(1)\n break\n\n\ndef _requirements():\n with open('requirements.txt', 'r') as fd:\n return [name.strip() for name in fd.readlines()]\n\n\nwith open('README.rst', 'r') as fd:\n long_description = fd.read()\n\nsetup(\n name=\"fbsdk\",\n version=__version__,\n author=\"Sam Chang\",\n author_email=\"t0915290092@gmail.com\",\n maintainer=\"Sam Chang\",\n maintainer_email=\"t0915290092@gmail.com\",\n url=\"https://github.com/boompieman/fbsdk\",\n description=\"Facebook Messaging API SDK for Python\",\n long_description=long_description,\n license='Apache License 2.0',\n packages=[\n \"facebookbot\", \"facebookbot.models\"\n ],\n install_requires=_requirements(),\n classifiers=[\n \"Development Status :: 5 + Production/Stable\",\n \"License :: OSI Approved :: Apache Software License\",\n \"Intended Audience :: Developers\",\n \"Programming Language :: Python :: 3\",\n \"Topic :: Software Development\"\n ]\n)\n"}, {"role": "assistant", "content": "Logical Error Analysis:\n\nError Type: WRONG_OPERATOR\nIssue: Incorrect arithmetic operator\nSeverity: HIGH\n\nLocation: Line 56\n\nBuggy code:\n +\n\nShould be:\n -\n\nExplanation: Wrong mathematical operation will produce incorrect results\nFix: Change + to -"}]
| true
|
logical
|
WRONG_OPERATOR
|
HIGH
|
d9b62ab258f0b51ef25d431f8fa66de9acd438a7
|
TheStack--python--000.parquet
|
Fix this broken Python code:
# coding=utf-8
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) HuggingFace Inc. team.
#
# 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 ModalEmbeddings(nn.Module):
"""Generic Modal Embeddings which takes in an encoder, and a transformer embedding."""
def __init__(self, config, encoder, embeddings):
super().__init__()
self.config = config
Error: MISSING_IMPORTS
|
Fixed Code:
# coding=utf-8
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) HuggingFace Inc. team.
#
# 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 ModalEmbeddings(nn.Module):
"""Generic Modal Embeddings which takes in an encoder, and a transformer embedding."""
def __init__(self, config, encoder, embeddings):
super().__init__()
Explanation: Add missing import statements
|
advanced
|
api
|
error_fixing
|
Python
| 1
| 1
| 885
| false
|
[{"role": "user", "content": "Fix this broken Python code:\n# coding=utf-8\n# Copyright (c) Facebook, Inc. and its affiliates.\n# Copyright (c) HuggingFace Inc. team.\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.\nclass ModalEmbeddings(nn.Module):\n \"\"\"Generic Modal Embeddings which takes in an encoder, and a transformer embedding.\"\"\"\n\n def __init__(self, config, encoder, embeddings):\n super().__init__()\n self.config = config\n\nError: MISSING_IMPORTS"}, {"role": "assistant", "content": "Fixed Code:\n\n\n# coding=utf-8\n# Copyright (c) Facebook, Inc. and its affiliates.\n# Copyright (c) HuggingFace Inc. team.\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.\nclass ModalEmbeddings(nn.Module):\n \"\"\"Generic Modal Embeddings which takes in an encoder, and a transformer embedding.\"\"\"\n\n def __init__(self, config, encoder, embeddings):\n super().__init__()\n\nExplanation: Add missing import statements"}]
| true
|
syntax
|
MISSING_IMPORTS
|
MEDIUM
|
d9b76c6f6bd2bcb1986a9d9701e4ee097a1ff3bf
|
TheStack--python--000.parquet
|
Fix this broken Python code:
from abc import (
class BaseBeaconChain(Configurable, ABC):
"""
The base class for all BeaconChain objects
"""
chaindb = None # type: BaseBeaconChainDB
chaindb_class = None # type: Type[BaseBeaconChainDB]
sm_configuration = None # type: Tuple[Tuple[Slot, Type[BaseBeaconStateMachine]], ...]
chain_id = None # type: int
#
# Helpers
#
@classmethod
@abstractmethod
def get_chaindb_class(cls) -> Type[BaseBeaconChainDB]:
pass
#
# Chain API
#
@classmethod
@abstractmethod
def from_genesis(cls,
base_db: BaseAtomicDB,
genesis_state: BeaconState,
genesis_block: BaseBeaconBlock) -> 'BaseBeaconChain':
pass
#
# State Machine API
#
@classmethod
@abstractmethod
def get_state_machine_class(
cls,
block: BaseBeaconBlock) -> Type['BaseBeaconStateMachine']:
pass
@abstractmethod
def get_state_machine(self, at_block: BaseBeaconBlock=None) -> 'BaseBeaconStateMachine':
pass
@classmethod
@abstractmethod
def get_state_machine_class_for_block_slot(
cls,
slot: Slot) -> Type['BaseBeaconStateMachine']:
pass
#
# Block API
#
@abstractmethod
def get_block_class(self, block_root: Hash32) -> Type[BaseBeaconBlock]:
pass
@abstractmethod
def create_block_from_parent(self,
parent_block: BaseBeaconBlock,
block_params: FromBlockParams) -> BaseBeaconBlock:
pass
@abstractmethod
def get_block_by_root(self, block_root: Hash32) -> BaseBeaconBlock:
pass
@abstractmethod
def get_canonical_head(self) -> BaseBeaconBlock:
pass
Error: MISSING_IMPORTS
|
Fixed Code:
from abc import (
class BaseBeaconChain(Configurable, ABC):
"""
The base class for all BeaconChain objects
"""
chaindb = None # type: BaseBeaconChainDB
chaindb_class = None # type: Type[BaseBeaconChainDB]
sm_configuration = None # type: Tuple[Tuple[Slot, Type[BaseBeaconStateMachine]], ...]
chain_id = None # type: int
#
# Helpers
#
@classmethod
@abstractmethod
def get_chaindb_class(cls) -> Type[BaseBeaconChainDB]:
pass
#
# Chain API
Explanation: Add missing import statements
|
advanced
|
api
|
error_fixing
|
Python
| 15
| 1
| 1,822
| true
|
[{"role": "user", "content": "Fix this broken Python code:\nfrom abc import (\nclass BaseBeaconChain(Configurable, ABC):\n \"\"\"\n The base class for all BeaconChain objects\n \"\"\"\n chaindb = None # type: BaseBeaconChainDB\n chaindb_class = None # type: Type[BaseBeaconChainDB]\n sm_configuration = None # type: Tuple[Tuple[Slot, Type[BaseBeaconStateMachine]], ...]\n chain_id = None # type: int\n\n #\n # Helpers\n #\n @classmethod\n @abstractmethod\n def get_chaindb_class(cls) -> Type[BaseBeaconChainDB]:\n pass\n\n #\n # Chain API\n #\n @classmethod\n @abstractmethod\n def from_genesis(cls,\n base_db: BaseAtomicDB,\n genesis_state: BeaconState,\n genesis_block: BaseBeaconBlock) -> 'BaseBeaconChain':\n pass\n\n #\n # State Machine API\n #\n @classmethod\n @abstractmethod\n def get_state_machine_class(\n cls,\n block: BaseBeaconBlock) -> Type['BaseBeaconStateMachine']:\n pass\n\n @abstractmethod\n def get_state_machine(self, at_block: BaseBeaconBlock=None) -> 'BaseBeaconStateMachine':\n pass\n\n @classmethod\n @abstractmethod\n def get_state_machine_class_for_block_slot(\n cls,\n slot: Slot) -> Type['BaseBeaconStateMachine']:\n pass\n\n #\n # Block API\n #\n @abstractmethod\n def get_block_class(self, block_root: Hash32) -> Type[BaseBeaconBlock]:\n pass\n\n @abstractmethod\n def create_block_from_parent(self,\n parent_block: BaseBeaconBlock,\n block_params: FromBlockParams) -> BaseBeaconBlock:\n pass\n\n @abstractmethod\n def get_block_by_root(self, block_root: Hash32) -> BaseBeaconBlock:\n pass\n\n @abstractmethod\n def get_canonical_head(self) -> BaseBeaconBlock:\n pass\n\n\nError: MISSING_IMPORTS"}, {"role": "assistant", "content": "Fixed Code:\n\n\nfrom abc import (\nclass BaseBeaconChain(Configurable, ABC):\n \"\"\"\n The base class for all BeaconChain objects\n \"\"\"\n chaindb = None # type: BaseBeaconChainDB\n chaindb_class = None # type: Type[BaseBeaconChainDB]\n sm_configuration = None # type: Tuple[Tuple[Slot, Type[BaseBeaconStateMachine]], ...]\n chain_id = None # type: int\n\n #\n # Helpers\n #\n @classmethod\n @abstractmethod\n def get_chaindb_class(cls) -> Type[BaseBeaconChainDB]:\n pass\n\n #\n # Chain API\n\nExplanation: Add missing import statements"}]
| true
|
syntax
|
MISSING_IMPORTS
|
MEDIUM
|
d9b79f86fa592dbe24c72c454192af966a916a5a
|
TheStack--python--000.parquet
|
Complete this incomplete Python code:
#!/usr/local/bin/python3
import paramiko,time
#using as SSH Client
client = paramiko.SSHClient()
# check dir(client) to find available options.
# auto adjust host key verification with yes or no
client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
# time for connecting to remote Cisco IOS
"""
Manually taking input
addr = input('Provide IP address to connect to: ')
user = input('Username: ')
pwd = getpass.getpass('Password: ')"""
# Taking input from files
f1 = open("devices.txt","r")
f2 = open("commands.txt","r")
for line in f1:
client = paramiko.SSHClient()
client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
data = line.split(" ")
# print(data)
addr = data[0]
user = data[1]
pwd = data[2]
f3 = open(addr+".txt","w+")
# print(addr +" "+ user +" " +pwd)
client.connect(addr,username=user,password=pwd,allow_agent=False,look_for_keys=False)
... code continues ...
|
Completion:
Missing: Incomplete logical block
To complete:
• Complete the control flow structure
Example continuation:
# we have to ask for Shell
device_access = client.invoke_shell()
|
intermediate
|
database
|
incomplete_code
|
Python
| 0
| 0
| 909
| true
|
[{"role": "user", "content": "Complete this incomplete Python code:\n#!/usr/local/bin/python3\n\nimport paramiko,time\n\n#using as SSH Client\n\nclient = paramiko.SSHClient()\n\n# check dir(client) to find available options.\n# auto adjust host key verification with yes or no\nclient.set_missing_host_key_policy(paramiko.AutoAddPolicy())\n\n# time for connecting to remote Cisco IOS\n\"\"\"\nManually taking input\naddr = input('Provide IP address to connect to: ')\nuser = input('Username: ')\npwd = getpass.getpass('Password: ')\"\"\"\n\n# Taking input from files\n\nf1 = open(\"devices.txt\",\"r\")\nf2 = open(\"commands.txt\",\"r\")\n\nfor line in f1:\n\n client = paramiko.SSHClient()\n client.set_missing_host_key_policy(paramiko.AutoAddPolicy())\n data = line.split(\" \")\n# print(data)\n addr = data[0]\n user = data[1]\n pwd = data[2]\n\n f3 = open(addr+\".txt\",\"w+\")\n\n# print(addr +\" \"+ user +\" \" +pwd)\n\n client.connect(addr,username=user,password=pwd,allow_agent=False,look_for_keys=False)\n\n... code continues ..."}, {"role": "assistant", "content": "Completion:\n\nMissing: Incomplete logical block\n\nTo complete:\n \u2022 Complete the control flow structure\n\n Example continuation:\n\n# we have to ask for Shell\n\n device_access = client.invoke_shell()\n"}]
| true
|
syntax
|
INCOMPLETE_LOGIC
|
HIGH
|
d9b8347698a1fe18b6d9ec66f6bfbfa77f2567be
|
TheStack--python--000.parquet
|
Complete this Python code:
# for n in range(400,500):
# i = n // 100
# j = n // 10 % 10
# k = n % 10
# if n == i ** 3 + j ** 3 + k ** 3:
# print(n)
# 第一道题(16)
# input("请输入(第一次):")
# s1 = input("请输入(第二次):")
# l1 = s1.split(' ')
# l2 = []
# for i in l1:
# if i.isdigit():
# l2.append(int(i))
# for i in l2:
# if not (i % 6):
# print(i, end=" ")
# 第二道题(17)
out_l1 = []
def bian_int_list(l1):
re_l1 = [] # 返回出去的列表
for i in l1:
re_l1.append(i)
def jisuan(str_num):
he1 = 0
global out_l1
|
for i in l1():
he1 += int(i)**2
if he1 > int(str_num):
out_l1.append(str_num)
return None
while 1:
in_1 = input("请输入数值:")
nums_l1 = in_1.split(' ')
|
intermediate
|
general
|
code_completion
|
Python
| 2
| 0
| 733
| false
|
[{"role": "user", "content": "Complete this Python code:\n# for n in range(400,500):\n# i = n // 100\n# j = n // 10 % 10\n# k = n % 10\n# if n == i ** 3 + j ** 3 + k ** 3:\n# print(n)\n\n\n# \u7b2c\u4e00\u9053\u9898(16)\n# input(\"\u8bf7\u8f93\u5165(\u7b2c\u4e00\u6b21):\")\n# s1 = input(\"\u8bf7\u8f93\u5165(\u7b2c\u4e8c\u6b21):\")\n\n# l1 = s1.split(' ')\n# l2 = []\n# for i in l1:\n# if i.isdigit():\n# l2.append(int(i))\n\n# for i in l2:\n# if not (i % 6):\n# print(i, end=\" \")\n\n# \u7b2c\u4e8c\u9053\u9898(17)\nout_l1 = []\ndef bian_int_list(l1):\n re_l1 = [] # \u8fd4\u56de\u51fa\u53bb\u7684\u5217\u8868\n for i in l1:\n re_l1.append(i)\n\ndef jisuan(str_num):\n he1 = 0\n global out_l1\n"}, {"role": "assistant", "content": "\n for i in l1():\n he1 += int(i)**2\n\n if he1 > int(str_num):\n out_l1.append(str_num)\n return None\n\nwhile 1:\n in_1 = input(\"\u8bf7\u8f93\u5165\u6570\u503c:\")\n nums_l1 = in_1.split(' ')\n\n\n\n\n\n\n\n\n\n\n\n\n"}]
| false
| null | null | null |
d9b86cc42aaff67200ff3f4f5f6d27121835fd8c
|
TheStack--python--000.parquet
|
Find all errors in this Python code:
"""
A query transformer is a function that accepts a program and returns a program, plus a priority level.
Higher priority transformers are placed closer to the front of the list. We’re ensuring is a function,
because we’re going to evaluate it later 31 .
We’ll assume there won’t be an enormous number of transformer additions,
and walk the list linearly to add a new one.
We’ll leave a note in case this assumption turns out to be false —
a binary search is much more time-optimal for long lists,
but adds a little complexity and doesn’t really speed up short lists.
"""
class Transformer:
def __init__(self):
self.T = []
def transform(self, program):
return program
"""
Dagoba.T = [] # transformers (more than meets the eye)
"""
"""
Dagoba.addTransformer = function(fun, priority) {
if(typeof fun == 'function')
return Dagoba.error('Invalid transformer function')
for(var i = 0; i < Dagoba.T.length; i++) # OPT: binary search
if(priority > Dagoba.T[i].priority) break
Dagoba.T.splice(i, 0, {priority: priority, fun: fun})
}
"""
"""
Dagoba.transform = function(program) {
return Dagoba.T.reduce(function(acc, transformer) {
return transformer.fun(acc)
|
Error Analysis:
Error Type: INCOMPLETE_LOGIC
Multiple Errors Detected:
• Logical: Incorrect comparison operator
• Syntax: INCOMPLETE_LOGIC
Detected Errors:
• SyntaxError at line 38: unterminated triple-quoted string literal (detected at line 41)
Fix: Fix logical error: Change == to != AND Complete the control flow structure
|
advanced
|
database
|
error_detection
|
Python
| 2
| 1
| 1,282
| false
|
[{"role": "user", "content": "Find all errors in this Python code:\n\"\"\"\nA query transformer is a function that accepts a program and returns a program, plus a priority level.\nHigher priority transformers are placed closer to the front of the list. We\u2019re ensuring is a function,\nbecause we\u2019re going to evaluate it later 31 .\nWe\u2019ll assume there won\u2019t be an enormous number of transformer additions,\nand walk the list linearly to add a new one.\nWe\u2019ll leave a note in case this assumption turns out to be false \u2014\na binary search is much more time-optimal for long lists,\nbut adds a little complexity and doesn\u2019t really speed up short lists.\n\"\"\"\n\n\nclass Transformer:\n\n def __init__(self):\n self.T = []\n\n def transform(self, program):\n return program\n\n\"\"\"\n\nDagoba.T = [] # transformers (more than meets the eye)\n\"\"\"\n\n\"\"\"\nDagoba.addTransformer = function(fun, priority) {\n if(typeof fun == 'function')\n return Dagoba.error('Invalid transformer function')\n\n for(var i = 0; i < Dagoba.T.length; i++) # OPT: binary search\n if(priority > Dagoba.T[i].priority) break\n\n Dagoba.T.splice(i, 0, {priority: priority, fun: fun})\n}\n\"\"\"\n\n\"\"\"\nDagoba.transform = function(program) {\n return Dagoba.T.reduce(function(acc, transformer) {\n return transformer.fun(acc)"}, {"role": "assistant", "content": "Error Analysis:\n\nError Type: INCOMPLETE_LOGIC\nMultiple Errors Detected:\n \u2022 Logical: Incorrect comparison operator\n \u2022 Syntax: INCOMPLETE_LOGIC\n\nDetected Errors:\n \u2022 SyntaxError at line 38: unterminated triple-quoted string literal (detected at line 41)\n\nFix: Fix logical error: Change == to != AND Complete the control flow structure"}]
| true
|
syntax
|
INCOMPLETE_LOGIC
|
CRITICAL
|
d9b8d42e905cba910e6a30f7d6f38e82d05ab46c
|
TheStack--python--000.parquet
|
Fix this broken Python code:
#!/usr/bin/python3.6.8+
# -*- coding:utf-8 -*-
"""
@auth: cml
@date: 2020-12-2
@desc: ...
"""
class JobStatus(object):
PENDING = 0 # 任务等待执行
STARTED = 100 # 任务执行开始
Error: INCOMPLETE_LOGIC
|
Fixed Code:
#!/usr/bin/python3.6.8+
# -*- coding:utf-8 -*-
"""
@auth: cml
@date: 2020-12-2
@desc: ...
"""
class JobStatus(object):
PENDING = 0 # 任务等待执行
STARTED = 100 # 任务执行开始
PROCESS = 110
POLLING = 120
CALLBACK = 130
SUCCESS = 200 # 任务执行成功
Explanation: Complete the control flow structure
|
intermediate
|
machine_learning
|
error_fixing
|
Python
| 0
| 1
| 175
| false
|
[{"role": "user", "content": "Fix this broken Python code:\n#!/usr/bin/python3.6.8+\n# -*- coding:utf-8 -*-\n\"\"\"\n@auth: cml\n@date: 2020-12-2\n@desc: ...\n\"\"\"\n\n\nclass JobStatus(object):\n PENDING = 0 # \u4efb\u52a1\u7b49\u5f85\u6267\u884c\n\n STARTED = 100 # \u4efb\u52a1\u6267\u884c\u5f00\u59cb\n\nError: INCOMPLETE_LOGIC"}, {"role": "assistant", "content": "Fixed Code:\n\n\n#!/usr/bin/python3.6.8+\n# -*- coding:utf-8 -*-\n\"\"\"\n@auth: cml\n@date: 2020-12-2\n@desc: ...\n\"\"\"\n\n\nclass JobStatus(object):\n PENDING = 0 # \u4efb\u52a1\u7b49\u5f85\u6267\u884c\n\n STARTED = 100 # \u4efb\u52a1\u6267\u884c\u5f00\u59cb\n PROCESS = 110\n POLLING = 120\n CALLBACK = 130\n\n SUCCESS = 200 # \u4efb\u52a1\u6267\u884c\u6210\u529f\n\nExplanation: Complete the control flow structure"}]
| true
|
syntax
|
INCOMPLETE_LOGIC
|
HIGH
|
d9b92da15285253454115ccfc5647355f3c2b100
|
TheStack--python--000.parquet
|
Suggest refactoring for this Python code:
# -*- coding: utf-8 -*-
class BoletoHTML(object):
"""Geração do Boleto em HTML
Esta classe é responsável por imprimir o boleto em HTML.
Outras classes podem ser implementadas no futuro com a mesma interface,
para fazer output em LaTeX, etc ...
Esta classe pode imprimir boletos em formato de carnê (2 boletos por
página) ou em formato de folha cheia.
:param file_descr: Um arquivo ou *file-like* class.
:param landscape: Formato da folha. Usar ``True`` para boleto
tipo carnê.
"""
def __init__(self, file_descr, landscape=False):
# Tamanhos em px
self.width = 750
self.widthCanhoto = 0
self.fontSizeTitle = 9
self.heightLine = 27
self.fontSizeValue = 12
self.title = 'Boleto bancário'
self.fileDescr = file_descr
if landscape:
raise NotImplementedError('Em desenvolvimento...')
else:
tpl = string.Template(self._load_template('head.html'))
self.html = tpl.substitute(title=self.title, width=self.width,
font_size_value=self.fontSizeValue,
height_line=self.heightLine,
font_size_title=self.fontSizeTitle)
def _load_template(self, template):
pyboleto_dir = os.path.dirname(os.path.abspath(__file__))
template_path = os.path.join(pyboleto_dir, 'templates', template)
with open(template_path, 'r') as tpl:
template_content = tpl.read()
return template_content
def _load_image(self, logo_image):
pyboleto_dir = os.path.dirname(os.path.abspath(__file__))
image_path = os.path.join(pyboleto_dir, 'media', logo_image)
return image_path
... [12 more functiondefs truncated] ...
|
Refactoring suggestions:
Extract reusable functions
Improve naming conventions
Add documentation
|
advanced
|
database
|
refactoring
|
Python
| 3
| 1
| 1,835
| false
|
[{"role": "user", "content": "Suggest refactoring for this Python code:\n# -*- coding: utf-8 -*-\nclass BoletoHTML(object):\n \"\"\"Gera\u00e7\u00e3o do Boleto em HTML\n\n Esta classe \u00e9 respons\u00e1vel por imprimir o boleto em HTML.\n Outras classes podem ser implementadas no futuro com a mesma interface,\n para fazer output em LaTeX, etc ...\n\n Esta classe pode imprimir boletos em formato de carn\u00ea (2 boletos por\n p\u00e1gina) ou em formato de folha cheia.\n\n :param file_descr: Um arquivo ou *file-like* class.\n :param landscape: Formato da folha. Usar ``True`` para boleto\n tipo carn\u00ea.\n\n \"\"\"\n\n def __init__(self, file_descr, landscape=False):\n # Tamanhos em px\n self.width = 750\n self.widthCanhoto = 0\n self.fontSizeTitle = 9\n self.heightLine = 27\n self.fontSizeValue = 12\n self.title = 'Boleto banc\u00e1rio'\n self.fileDescr = file_descr\n\n if landscape:\n raise NotImplementedError('Em desenvolvimento...')\n else:\n tpl = string.Template(self._load_template('head.html'))\n self.html = tpl.substitute(title=self.title, width=self.width,\n font_size_value=self.fontSizeValue,\n height_line=self.heightLine,\n font_size_title=self.fontSizeTitle)\n\n def _load_template(self, template):\n pyboleto_dir = os.path.dirname(os.path.abspath(__file__))\n template_path = os.path.join(pyboleto_dir, 'templates', template)\n with open(template_path, 'r') as tpl:\n template_content = tpl.read()\n return template_content\n\n def _load_image(self, logo_image):\n pyboleto_dir = os.path.dirname(os.path.abspath(__file__))\n image_path = os.path.join(pyboleto_dir, 'media', logo_image)\n return image_path\n\n\n... [12 more functiondefs truncated] ..."}, {"role": "assistant", "content": "Refactoring suggestions:\nExtract reusable functions\nImprove naming conventions\nAdd documentation"}]
| false
| null | null | null |
d9b95364464c7d47db46ee15f7524a804b79ea1b
|
TheStack--python--000.parquet
|
Fix this broken Python code:
import imtreat
img = imtreat.imageManagerClass.openImageFunction("../images/soleil.png", 0)
img = imtreat.definedModesClass.detailEnhanceFunction(img)
Error: MISSING_IMPORTS
|
Fixed Code:
import imtreat
img = imtreat.imageManagerClass.openImageFunction("../images/soleil.png", 0)
img = imtreat.definedModesClass.detailEnhanceFunction(img)
imtreat.imageManagerClass.saveImageFunction("/Téléchargements/", "image_1", ".png", img)
Explanation: Add missing import statements
|
intermediate
|
machine_learning
|
error_fixing
|
Python
| 0
| 0
| 152
| true
|
[{"role": "user", "content": "Fix this broken Python code:\nimport imtreat\n\nimg = imtreat.imageManagerClass.openImageFunction(\"../images/soleil.png\", 0)\n\nimg = imtreat.definedModesClass.detailEnhanceFunction(img)\n\nError: MISSING_IMPORTS"}, {"role": "assistant", "content": "Fixed Code:\n\n\nimport imtreat\n\nimg = imtreat.imageManagerClass.openImageFunction(\"../images/soleil.png\", 0)\n\nimg = imtreat.definedModesClass.detailEnhanceFunction(img)\n\nimtreat.imageManagerClass.saveImageFunction(\"/T\u00e9l\u00e9chargements/\", \"image_1\", \".png\", img)\n\n\nExplanation: Add missing import statements"}]
| true
|
syntax
|
MISSING_IMPORTS
|
MEDIUM
|
d9b9af3bd25b0d2f9357446b0ff43e3ab614b141
|
TheStack--python--000.parquet
|
Explain this Python code:
# Copyright (c) 2016 TUBITAK BILGEM
# 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_config import cfg
def register_opts(conf):
conf.register_group(hyperv_opt_group)
conf.register_opts(hyperv_opts, group=hyperv_opt_group)
def list_opts():
return {hyperv_opt_group: hyperv_opts}
|
Functions: register_opts, list_opts
This code demonstrates Python programming.
|
intermediate
|
api
|
code_explanation
|
Python
| 2
| 0
| 852
| true
|
[{"role": "user", "content": "Explain this Python code:\n# Copyright (c) 2016 TUBITAK BILGEM\n# 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_config import cfg\n\ndef register_opts(conf):\n conf.register_group(hyperv_opt_group)\n conf.register_opts(hyperv_opts, group=hyperv_opt_group)\n\n\ndef list_opts():\n return {hyperv_opt_group: hyperv_opts}\n"}, {"role": "assistant", "content": "Functions: register_opts, list_opts\nThis code demonstrates Python programming."}]
| false
| null | null | null |
d9ba3c5b12232bbc811a9ad606f2570ac2481108
|
TheStack--python--000.parquet
|
Find all errors in this Python code:
import requests
words_list = requests.get("https://raw.githubusercontent.com/atebits/Words/master/Words/fr.txt").text
words_list = filter(lambda x: len(x) >= 4, words_list.split('\n'))
path = input("Chemin d'écriture ? (words.txt) ")
if path == "":
|
Error Analysis:
Error Type: MISSING_BRACKETS
Multiple Errors Detected:
• Logical: Incorrect comparison operator
• Syntax: MISSING_BRACKETS
Detected Errors:
• SyntaxError at line 9: expected an indented block after 'if' statement on line 9
Fix: Fix logical error: Change >= to > AND Add missing closing brackets
|
intermediate
|
api
|
error_detection
|
Python
| 0
| 0
| 252
| true
|
[{"role": "user", "content": "Find all errors in this Python code:\nimport requests\n\nwords_list = requests.get(\"https://raw.githubusercontent.com/atebits/Words/master/Words/fr.txt\").text\n\nwords_list = filter(lambda x: len(x) >= 4, words_list.split('\\n'))\n\npath = input(\"Chemin d'\u00e9criture ? (words.txt) \")\n\nif path == \"\":"}, {"role": "assistant", "content": "Error Analysis:\n\nError Type: MISSING_BRACKETS\nMultiple Errors Detected:\n \u2022 Logical: Incorrect comparison operator\n \u2022 Syntax: MISSING_BRACKETS\n\nDetected Errors:\n \u2022 SyntaxError at line 9: expected an indented block after 'if' statement on line 9\n\nFix: Fix logical error: Change >= to > AND Add missing closing brackets"}]
| true
|
syntax
|
MISSING_BRACKETS
|
CRITICAL
|
d9ba3e40007f306c4c070fefef8a9b0aa2387204
|
TheStack--python--000.parquet
|
Complete this incomplete Python code:
import unittest
from unittest import mock
import os
import subprocess
from testfixtures import TempDirectory
from simplegallery.upload.uploader_factory import get_uploader
class AWSUploaderTestCase(unittest.TestCase):
def test_no_location(self):
uploader = get_uploader('aws')
self.assertFalse(uploader.check_location(''))
@mock.patch('subprocess.run')
def test_upload_gallery(self, subprocess_run):
subprocess_run.return_value = subprocess.CompletedProcess([], returncode=0)
with TempDirectory() as tempdir:
# Setup mock file and uploader
tempdir.write('index.html', b'')
gallery_path = os.path.join(tempdir.path, 'index.html')
uploader = get_uploader('aws')
# Test upload to bucket
... code continues ...
|
Completion:
Missing: Incomplete logical block
To complete:
• Complete the control flow structure
Example continuation:
uploader.upload_gallery('s3://testbucket/path/', gallery_path)
subprocess_run.assert_called_with(
['aws', 's3', 'sync', gallery_path, 's3://testbucket/path/', '--exclude', '.DS_Store'])
# Test upload to bucket without prefix
|
advanced
|
testing
|
incomplete_code
|
Python
| 2
| 1
| 793
| true
|
[{"role": "user", "content": "Complete this incomplete Python code:\nimport unittest\nfrom unittest import mock\nimport os\nimport subprocess\nfrom testfixtures import TempDirectory\nfrom simplegallery.upload.uploader_factory import get_uploader\n\n\nclass AWSUploaderTestCase(unittest.TestCase):\n\n def test_no_location(self):\n uploader = get_uploader('aws')\n self.assertFalse(uploader.check_location(''))\n\n @mock.patch('subprocess.run')\n def test_upload_gallery(self, subprocess_run):\n subprocess_run.return_value = subprocess.CompletedProcess([], returncode=0)\n\n with TempDirectory() as tempdir:\n # Setup mock file and uploader\n tempdir.write('index.html', b'')\n gallery_path = os.path.join(tempdir.path, 'index.html')\n uploader = get_uploader('aws')\n\n # Test upload to bucket\n\n... code continues ..."}, {"role": "assistant", "content": "Completion:\n\nMissing: Incomplete logical block\n\nTo complete:\n \u2022 Complete the control flow structure\n\n Example continuation:\n uploader.upload_gallery('s3://testbucket/path/', gallery_path)\n subprocess_run.assert_called_with(\n ['aws', 's3', 'sync', gallery_path, 's3://testbucket/path/', '--exclude', '.DS_Store'])\n\n # Test upload to bucket without prefix"}]
| true
|
syntax
|
INCOMPLETE_LOGIC
|
HIGH
|
d9ba8bca5b7327bbb7e6554d0a3849c186cc4ba9
|
TheStack--python--000.parquet
|
Find all errors in this Python code:
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'add_subject.ui'
#
# Created by: PyQt4 UI code generator 4.11.4
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
def _fromUtf8(s):
return s
try:
_encoding = QtGui.QApplication.UnicodeUTF8
def _translate(context, text, disambig):
|
Error Analysis:
Error Type: MISSING_IMPORTS
Multiple Errors Detected:
• Logical: N/A
• Syntax: MISSING_IMPORTS
Detected Errors:
• SyntaxError at line 11: unexpected indent
Fix: Fix logical error: N/A AND Add missing import statements
|
advanced
|
database
|
error_detection
|
Python
| 3
| 1
| 385
| true
|
[{"role": "user", "content": "Find all errors in this Python code:\n# -*- coding: utf-8 -*-\r\n\r\n# Form implementation generated from reading ui file 'add_subject.ui'\r\n#\r\n# Created by: PyQt4 UI code generator 4.11.4\r\n#\r\n# WARNING! All changes made in this file will be lost!\r\n\r\nfrom PyQt4 import QtCore, QtGui\r\n\r\n def _fromUtf8(s):\r\n return s\r\n\r\ntry:\r\n _encoding = QtGui.QApplication.UnicodeUTF8\r\n def _translate(context, text, disambig):\r"}, {"role": "assistant", "content": "Error Analysis:\n\nError Type: MISSING_IMPORTS\nMultiple Errors Detected:\n \u2022 Logical: N/A\n \u2022 Syntax: MISSING_IMPORTS\n\nDetected Errors:\n \u2022 SyntaxError at line 11: unexpected indent\n\nFix: Fix logical error: N/A AND Add missing import statements"}]
| true
|
syntax
|
MISSING_IMPORTS
|
CRITICAL
|
d9bd741cd9ad9e20eeb1069fce4709781f43edd4
|
TheStack--python--000.parquet
|
Complete this Python code:
from django.db.models import signals
from django.test import TestCase
from django.core import management
from django.utils import six
from shared_models import models
PRE_SYNCDB_ARGS = ['app', 'create_models', 'verbosity', 'interactive', 'db']
SYNCDB_DATABASE = 'default'
SYNCDB_VERBOSITY = 1
SYNCDB_INTERACTIVE = False
class PreSyncdbReceiver(object):
def __init__(self):
self.call_counter = 0
self.call_args = None
def __call__(self, signal, sender, **kwargs):
self.call_counter = self.call_counter + 1
self.call_args = kwargs
class OneTimeReceiver(object):
"""
Special receiver for handle the fact that test runner calls syncdb for
several databases and several times for some of them.
"""
def __init__(self):
self.call_counter = 0
self.call_args = None
def __call__(self, signal, sender, **kwargs):
# Although test runner calls syncdb for several databases,
# testing for only one of them is quite sufficient.
if kwargs['db'] == SYNCDB_DATABASE:
self.call_counter = self.call_counter + 1
self.call_args = kwargs
# we need to test only one call of syncdb
signals.pre_syncdb.disconnect(pre_syncdb_receiver, sender=models)
# We connect receiver here and not in unit test code because we need to
|
# connect receiver before test runner creates database. That is, sequence of
# actions would be:
#
# 1. Test runner imports this module.
# 2. We connect receiver.
# 3. Test runner calls syncdb for create default database.
# 4. Test runner execute our unit test code.
pre_syncdb_receiver = OneTimeReceiver()
signals.pre_syncdb.connect(pre_syncdb_receiver, sender=models)
class SyncdbSignalTests(TestCase):
def test_pre_syncdb_call_time(self):
self.assertEqual(pre_syncdb_receiver.call_counter, 1)
def test_pre_syncdb_args(self):
r = PreSyncdbReceiver()
signals.pre_syncdb.connect(r, sender=models)
management.call_command('syncdb', database=SYNCDB_DATABASE,
verbosity=SYNCDB_VERBOSITY, interactive=SYNCDB_INTERACTIVE,
load_initial_data=False, stdout=six.StringIO())
args = r.call_args
self.assertEqual(r.call_counter, 1)
self.assertEqual(set(args), set(PRE_SYNCDB_ARGS))
self.assertEqual(args['app'], models)
self.assertEqual(args['verbosity'], SYNCDB_VERBOSITY)
self.assertEqual(args['interactive'], SYNCDB_INTERACTIVE)
self.assertEqual(args['db'], 'default')
|
advanced
|
testing
|
code_completion
|
Python
| 6
| 3
| 2,553
| true
|
[{"role": "user", "content": "Complete this Python code:\nfrom django.db.models import signals\nfrom django.test import TestCase\nfrom django.core import management\nfrom django.utils import six\n\nfrom shared_models import models\n\n\nPRE_SYNCDB_ARGS = ['app', 'create_models', 'verbosity', 'interactive', 'db']\nSYNCDB_DATABASE = 'default'\nSYNCDB_VERBOSITY = 1\nSYNCDB_INTERACTIVE = False\n\n\nclass PreSyncdbReceiver(object):\n def __init__(self):\n self.call_counter = 0\n self.call_args = None\n\n def __call__(self, signal, sender, **kwargs):\n self.call_counter = self.call_counter + 1\n self.call_args = kwargs\n\n\nclass OneTimeReceiver(object):\n \"\"\"\n Special receiver for handle the fact that test runner calls syncdb for\n several databases and several times for some of them.\n \"\"\"\n\n def __init__(self):\n self.call_counter = 0\n self.call_args = None\n\n def __call__(self, signal, sender, **kwargs):\n # Although test runner calls syncdb for several databases,\n # testing for only one of them is quite sufficient.\n if kwargs['db'] == SYNCDB_DATABASE:\n self.call_counter = self.call_counter + 1\n self.call_args = kwargs\n # we need to test only one call of syncdb\n signals.pre_syncdb.disconnect(pre_syncdb_receiver, sender=models)\n\n\n# We connect receiver here and not in unit test code because we need to"}, {"role": "assistant", "content": "\n# connect receiver before test runner creates database. That is, sequence of\n# actions would be:\n#\n# 1. Test runner imports this module.\n# 2. We connect receiver.\n# 3. Test runner calls syncdb for create default database.\n# 4. Test runner execute our unit test code.\npre_syncdb_receiver = OneTimeReceiver()\nsignals.pre_syncdb.connect(pre_syncdb_receiver, sender=models)\n\n\nclass SyncdbSignalTests(TestCase):\n def test_pre_syncdb_call_time(self):\n self.assertEqual(pre_syncdb_receiver.call_counter, 1)\n\n def test_pre_syncdb_args(self):\n r = PreSyncdbReceiver()\n signals.pre_syncdb.connect(r, sender=models)\n management.call_command('syncdb', database=SYNCDB_DATABASE,\n verbosity=SYNCDB_VERBOSITY, interactive=SYNCDB_INTERACTIVE,\n load_initial_data=False, stdout=six.StringIO())\n\n args = r.call_args\n self.assertEqual(r.call_counter, 1)\n self.assertEqual(set(args), set(PRE_SYNCDB_ARGS))\n self.assertEqual(args['app'], models)\n self.assertEqual(args['verbosity'], SYNCDB_VERBOSITY)\n self.assertEqual(args['interactive'], SYNCDB_INTERACTIVE)\n self.assertEqual(args['db'], 'default')\n"}]
| false
| null | null | null |
d9be3b65d403b8ba23a315dd5e1dcfb9fd542171
|
TheStack--python--000.parquet
|
Suggest refactoring for this Python code:
# Copyright The PyTorch Lightning team.
#
# 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 logging
import os
import re
from pytorch_lightning.plugins.environments.cluster_environment import ClusterEnvironment
class SLURMEnvironment(ClusterEnvironment):
"""Cluster environment for training on a cluster managed by SLURM."""
@property
def creates_processes_externally(self) -> bool:
return True
@staticmethod
def detect() -> bool:
"""Returns ``True`` if the current process was launched on a SLURM cluster."""
return "SLURM_NTASKS" in os.environ
@property
def main_address(self) -> str:
# figure out the root node addr
slurm_nodelist = os.environ.get("SLURM_NODELIST")
if slurm_nodelist:
root_node = slurm_nodelist.split(" ")[0].split(",")[0]
else:
root_node = "127.0.0.1"
root_node = self.resolve_root_node_address(root_node)
os.environ["MASTER_ADDR"] = root_node
log.debug(f"MASTER_ADDR: {os.environ['MASTER_ADDR']}")
return root_node
@property
def main_port(self) -> int:
# -----------------------
# SLURM JOB = PORT number
# -----------------------
# this way every process knows what port to use
default_port = os.environ.get("SLURM_JOB_ID")
if default_port:
# use the last 4 numbers in the job id as the id
default_port = default_port[-4:]
# all ports should be in the 10k+ range
default_port = int(default_port) + 15000
else:
default_port = 12910
# -----------------------
# PORT NUMBER = MASTER_PORT
# -----------------------
# in case the user passed it in
if "MASTER_PORT" in os.environ:
default_port = os.environ["MASTER_PORT"]
else:
os.environ["MASTER_PORT"] = str(default_port)
log.debug(f"MASTER_PORT: {os.environ['MASTER_PORT']}")
return int(default_port)
def world_size(self) -> int:
return int(os.environ["SLURM_NTASKS"])
def set_world_size(self, size: int) -> None:
log.debug("SLURMEnvironment.set_world_size was called, but setting world size is not allowed. Ignored.")
def global_rank(self) -> int:
return int(os.environ["SLURM_PROCID"])
... [4 more functiondefs truncated] ...
|
Refactoring suggestions:
Extract reusable functions
Improve naming conventions
Add documentation
|
advanced
|
api
|
refactoring
|
Python
| 7
| 1
| 2,901
| true
|
[{"role": "user", "content": "Suggest refactoring for this Python code:\n# Copyright The PyTorch Lightning team.\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\nimport logging\nimport os\nimport re\n\nfrom pytorch_lightning.plugins.environments.cluster_environment import ClusterEnvironment\n\nclass SLURMEnvironment(ClusterEnvironment):\n \"\"\"Cluster environment for training on a cluster managed by SLURM.\"\"\"\n\n @property\n def creates_processes_externally(self) -> bool:\n return True\n\n @staticmethod\n def detect() -> bool:\n \"\"\"Returns ``True`` if the current process was launched on a SLURM cluster.\"\"\"\n return \"SLURM_NTASKS\" in os.environ\n\n @property\n def main_address(self) -> str:\n # figure out the root node addr\n slurm_nodelist = os.environ.get(\"SLURM_NODELIST\")\n if slurm_nodelist:\n root_node = slurm_nodelist.split(\" \")[0].split(\",\")[0]\n else:\n root_node = \"127.0.0.1\"\n\n root_node = self.resolve_root_node_address(root_node)\n os.environ[\"MASTER_ADDR\"] = root_node\n log.debug(f\"MASTER_ADDR: {os.environ['MASTER_ADDR']}\")\n return root_node\n\n @property\n def main_port(self) -> int:\n # -----------------------\n # SLURM JOB = PORT number\n # -----------------------\n # this way every process knows what port to use\n default_port = os.environ.get(\"SLURM_JOB_ID\")\n if default_port:\n # use the last 4 numbers in the job id as the id\n default_port = default_port[-4:]\n # all ports should be in the 10k+ range\n default_port = int(default_port) + 15000\n else:\n default_port = 12910\n\n # -----------------------\n # PORT NUMBER = MASTER_PORT\n # -----------------------\n # in case the user passed it in\n if \"MASTER_PORT\" in os.environ:\n default_port = os.environ[\"MASTER_PORT\"]\n else:\n os.environ[\"MASTER_PORT\"] = str(default_port)\n\n log.debug(f\"MASTER_PORT: {os.environ['MASTER_PORT']}\")\n\n return int(default_port)\n\n def world_size(self) -> int:\n return int(os.environ[\"SLURM_NTASKS\"])\n\n def set_world_size(self, size: int) -> None:\n log.debug(\"SLURMEnvironment.set_world_size was called, but setting world size is not allowed. Ignored.\")\n\n def global_rank(self) -> int:\n return int(os.environ[\"SLURM_PROCID\"])\n\n\n... [4 more functiondefs truncated] ..."}, {"role": "assistant", "content": "Refactoring suggestions:\nExtract reusable functions\nImprove naming conventions\nAdd documentation"}]
| false
| null | null | null |
d9be5eda54c6b03914f01c88d3b8d97dd5add586
|
TheStack--python--000.parquet
|
Review this Python code:
#!/usr/bin/env python
import time
import os
import math
from trackball import TrackBall
print("""Trackball: Mouse
Use the trackball as a mouse in Raspbian, with right-click
when the switch is pressed.
Press Ctrl+C to exit!
""")
trackball = TrackBall(interrupt_pin=4)
trackball.set_rgbw(0, 0, 0, 0)
# Check for xte (used to control mouse)
use_xte = os.system('which xte') == 0
if use_xte == 0:
raise RuntimeError("xte not found. Did you sudo apt install xautomation?")
while True:
up, down, left, right, switch, state = trackball.read()
# Send movements and clicks to xte
if switch:
cmd = 'xte "mouseclick 1"'
os.system(cmd)
elif right or up or left or down:
x = right - left
x = math.copysign(x**2, x)
y = down - up
y = math.copysign(y**2, y)
cmd = 'xte "mousermove {} {}"'.format(int(x), int(y))
os.system(cmd)
time.sleep(0.0001)
|
Code Review:
✓ No syntax errors found
💡 Suggestions:
• Code syntax is valid
• Consider adding unit tests
• Add inline comments for complex logic
|
intermediate
|
database
|
code_review
|
Python
| 0
| 0
| 928
| true
|
[{"role": "user", "content": "Review this Python code:\n#!/usr/bin/env python\nimport time\nimport os\nimport math\nfrom trackball import TrackBall\n\nprint(\"\"\"Trackball: Mouse\n\nUse the trackball as a mouse in Raspbian, with right-click\nwhen the switch is pressed.\n\nPress Ctrl+C to exit!\n\"\"\")\n\ntrackball = TrackBall(interrupt_pin=4)\ntrackball.set_rgbw(0, 0, 0, 0)\n\n# Check for xte (used to control mouse)\nuse_xte = os.system('which xte') == 0\n\nif use_xte == 0:\n raise RuntimeError(\"xte not found. Did you sudo apt install xautomation?\")\n\nwhile True:\n up, down, left, right, switch, state = trackball.read()\n\n # Send movements and clicks to xte\n if switch:\n cmd = 'xte \"mouseclick 1\"'\n os.system(cmd)\n elif right or up or left or down:\n x = right - left\n x = math.copysign(x**2, x)\n y = down - up\n y = math.copysign(y**2, y)\n cmd = 'xte \"mousermove {} {}\"'.format(int(x), int(y))\n os.system(cmd)\n\n time.sleep(0.0001)\n"}, {"role": "assistant", "content": "Code Review:\n\n\u2713 No syntax errors found\n\n\ud83d\udca1 Suggestions:\n \u2022 Code syntax is valid\n \u2022 Consider adding unit tests\n \u2022 Add inline comments for complex logic"}]
| false
| null | null | null |
d9be639438e84e867c9e53c267b847b31292fe23
|
TheStack--python--000.parquet
|
Review this Python code:
... [5 more classdefs truncated] ...
|
Code Review:
❌ Errors:
• SyntaxError at line 2: invalid syntax. Perhaps you forgot a comma?
💡 Suggestions:
• Consider adding unit tests
• Add inline comments for complex logic
|
beginner
|
oop
|
code_review
|
Python
| 0
| 0
| 37
| false
|
[{"role": "user", "content": "Review this Python code:\n\n... [5 more classdefs truncated] ..."}, {"role": "assistant", "content": "Code Review:\n\n\u274c Errors:\n \u2022 SyntaxError at line 2: invalid syntax. Perhaps you forgot a comma?\n\ud83d\udca1 Suggestions:\n \u2022 Consider adding unit tests\n \u2022 Add inline comments for complex logic"}]
| false
| null | null | null |
d9be866c44b7b03225042353a7fcf648c1ce10ab
|
TheStack--python--000.parquet
|
Find the logical error in this Python code:
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
import torchvision
import torchvision.transforms as transforms
import torchvision.datasets as datasets
import os
import argparse
from torch.autograd import Variable
from extensions.utils import progress_bar
from extensions.model_refinery_wrapper import ModelRefineryWrapper
from extensions.refinery_loss import RefineryLoss
from models import ShuffleNetv2_wrapper
from models import DiracDeltaNet_wrapper
def accuracy(output, target, topk=(1,)):
"""Computes the precision@k for the specified values of k"""
with torch.no_grad():
maxk = max(topk)
batch_size = target.size(0)
_, pred = output.topk(maxk, 1, True, True)
pred = pred.t()
correct = pred.eq(target.view(1, -1).expand_as(pred))
res = []
for k in topk:
correct_k = correct[:k].view(-1).float().sum(0, keepdim=True)
res.append(correct_k)
return res
def test():
net.eval()
criterion.eval()
test_loss = 0
correct_1 = 0
correct_5 = 0
total = 0
for batch_idx, (inputs, targets) in enumerate(testloader):
if use_cuda:
inputs, targets = inputs.cuda(device), targets.cuda(device)
with torch.no_grad():
outputs = net(inputs)
loss = criterion(outputs, targets)
if isinstance(loss, tuple):
loss_value, outputs = loss
else:
loss_value = loss
test_loss += loss_value.item()
prec1, prec5 = accuracy(outputs, targets, topk=(1, 5))
total += targets.size(0)
correct_1 += prec1
correct_5 += prec5
progress_bar(batch_idx, len(testloader), 'Loss: %.3f | Acc: %.3f%% (%d/%d)'
% (test_loss/(batch_idx+1), 100.*float(correct_1)/float(total), correct_1, total))
return 100.*float(correct_1)/float(total),100.*float(correct_5)/float(total),test_loss
acc1,acc5,loss=test()
pr('top-1 accuracy: {0:.3f}%, top-5 accuracy: {1:.3f}%'.format(acc1,acc5))
|
Logical Error Analysis:
Error Type: TYPE_MISMATCH
Issue: Missing type conversion
Severity: MEDIUM
Location: Line 71
Buggy code:
(
Should be:
int(
Explanation: Type conversion removed, may cause type errors
Fix: Add int() conversion back
|
intermediate
|
testing
|
logical_errors
|
Python
| 2
| 0
| 2,174
| true
|
[{"role": "user", "content": "Find the logical error in this Python code:\nimport torch\r\nimport torch.nn as nn\r\nimport torch.optim as optim\r\nimport torch.nn.functional as F\r\nimport torch.backends.cudnn as cudnn\r\n\r\nimport torchvision\r\nimport torchvision.transforms as transforms\r\nimport torchvision.datasets as datasets\r\n\r\nimport os\r\nimport argparse\r\n\r\nfrom torch.autograd import Variable\r\nfrom extensions.utils import progress_bar\r\nfrom extensions.model_refinery_wrapper import ModelRefineryWrapper\r\nfrom extensions.refinery_loss import RefineryLoss\r\n\r\nfrom models import ShuffleNetv2_wrapper\r\nfrom models import DiracDeltaNet_wrapper\r\n\r\n\r\ndef accuracy(output, target, topk=(1,)):\r\n \"\"\"Computes the precision@k for the specified values of k\"\"\"\r\n with torch.no_grad():\r\n maxk = max(topk)\r\n batch_size = target.size(0)\r\n\r\n _, pred = output.topk(maxk, 1, True, True)\r\n pred = pred.t()\r\n correct = pred.eq(target.view(1, -1).expand_as(pred))\r\n\r\n res = []\r\n for k in topk:\r\n correct_k = correct[:k].view(-1).float().sum(0, keepdim=True)\r\n res.append(correct_k)\r\n return res\r\n\r\n\r\ndef test():\r\n net.eval()\r\n criterion.eval()\r\n test_loss = 0\r\n correct_1 = 0\r\n correct_5 = 0\r\n total = 0\r\n for batch_idx, (inputs, targets) in enumerate(testloader):\r\n if use_cuda:\r\n inputs, targets = inputs.cuda(device), targets.cuda(device)\r\n with torch.no_grad():\r\n outputs = net(inputs)\r\n loss = criterion(outputs, targets)\r\n\r\n if isinstance(loss, tuple):\r\n loss_value, outputs = loss\r\n else:\r\n loss_value = loss\r\n\r\n test_loss += loss_value.item()\r\n prec1, prec5 = accuracy(outputs, targets, topk=(1, 5))\r\n total += targets.size(0)\r\n correct_1 += prec1\r\n correct_5 += prec5\r\n\r\n progress_bar(batch_idx, len(testloader), 'Loss: %.3f | Acc: %.3f%% (%d/%d)'\r\n % (test_loss/(batch_idx+1), 100.*float(correct_1)/float(total), correct_1, total))\r\n\r\n return 100.*float(correct_1)/float(total),100.*float(correct_5)/float(total),test_loss\r\n\r\nacc1,acc5,loss=test()\r\npr('top-1 accuracy: {0:.3f}%, top-5 accuracy: {1:.3f}%'.format(acc1,acc5))\r\n"}, {"role": "assistant", "content": "Logical Error Analysis:\n\nError Type: TYPE_MISMATCH\nIssue: Missing type conversion\nSeverity: MEDIUM\n\nLocation: Line 71\n\nBuggy code:\n (\n\nShould be:\n int(\n\nExplanation: Type conversion removed, may cause type errors\nFix: Add int() conversion back"}]
| true
|
logical
|
TYPE_MISMATCH
|
MEDIUM
|
d9becf802ca0765623e481aef0b8fd051c0096e5
|
TheStack--python--000.parquet
|
Fill in the in this Python code:
"""Model Parameters Module."""
import torch.optim as optim
from .search import SamplingSearch, GreedySearch, BeamSearch
SEARCH_FACTORY = {
'sampling': SamplingSearch,
'greedy': GreedySearch,
# Complete this line
}
OPTIMIZER_FACTORY = {
'adadelta': optim.Adadelta,
'adagrad': optim.Adagrad,
'adam': optim.Adam,
'adamax': optim.Adamax,
'rmsprop': optim.RMSprop,
'sgd': optim.SGD
}
|
The missing line is:
'beam': BeamSearch,
|
intermediate
|
machine_learning
|
fill_in_the_blank
|
Python
| 0
| 0
| 416
| true
|
[{"role": "user", "content": "Fill in the in this Python code:\n\"\"\"Model Parameters Module.\"\"\"\nimport torch.optim as optim\nfrom .search import SamplingSearch, GreedySearch, BeamSearch\n\nSEARCH_FACTORY = {\n 'sampling': SamplingSearch,\n 'greedy': GreedySearch,\n # Complete this line\n}\n\nOPTIMIZER_FACTORY = {\n 'adadelta': optim.Adadelta,\n 'adagrad': optim.Adagrad,\n 'adam': optim.Adam,\n 'adamax': optim.Adamax,\n 'rmsprop': optim.RMSprop,\n 'sgd': optim.SGD\n}\n"}, {"role": "assistant", "content": "The missing line is:\n 'beam': BeamSearch,"}]
| false
| null | null | null |
d9c028ee1a5ced657b4755383e247cbb2fed35a8
|
TheStack--python--000.parquet
|
Review this Python code:
#
# Copyright (c) 2021 The GPflux Contributors.
#
# 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 abc
import numpy as np
import pytest
import tensorflow as tf
import tensorflow_probability as tfp
from gpflow.kullback_leiblers import gauss_kl
from gpflux.encoders import DirectlyParameterizedNormalDiag
from gpflux.layers import LatentVariableLayer, LayerWithObservations, TrackableLayer
def _zero_one_normal_prior(w_dim):
""" N(0, I) prior """
return tfp.distributions.MultivariateNormalDiag(loc=np.zeros(w_dim), scale_diag=np.ones(w_dim))
def get_distributions_with_w_dim():
distributions = []
for d in [1, 5]:
mean = np.zeros(d)
scale_tri_l = np.eye(d)
mvn = tfp.distributions.MultivariateNormalTriL(mean, scale_tri_l)
std = np.ones(d)
mvn_diag = tfp.distributions.MultivariateNormalDiag(mean, std)
distributions.append((mvn, d))
distributions.append((mvn_diag, d))
return distributions
############
# Tests
############
@pytest.mark.parametrize("distribution, w_dim", get_distributions_with_w_dim())
def test_local_kls(distribution, w_dim):
lv = LatentVariableLayer(encoder=None, prior=distribution)
# test kl is 0 when posteriors == priors
posterior = distribution
assert lv._local_kls(posterior) == 0
# test kl > 0 when posteriors != priors
batch_size = 10
params = distribution.parameters
posterior_params = {
k: [v + 0.5 for _ in range(batch_size)]
for k, v in params.items()
if isinstance(v, np.ndarray)
}
posterior = lv.distribution_class(**posterior_params)
local_kls = lv._local_kls(posterior)
assert np.all(local_kls > 0)
assert local_kls.shape == (batch_size,)
@pytest.mark.parametrize("w_dim", [1, 5])
... [7 more functiondefs truncated] ...
|
Code Review:
❌ Errors:
• SyntaxError at line 79: invalid syntax
💡 Suggestions:
• Add inline comments for complex logic
|
intermediate
|
testing
|
code_review
|
Python
| 3
| 0
| 2,331
| true
|
[{"role": "user", "content": "Review this Python code:\n#\n# Copyright (c) 2021 The GPflux Contributors.\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\nimport abc\n\nimport numpy as np\nimport pytest\nimport tensorflow as tf\nimport tensorflow_probability as tfp\n\nfrom gpflow.kullback_leiblers import gauss_kl\n\nfrom gpflux.encoders import DirectlyParameterizedNormalDiag\nfrom gpflux.layers import LatentVariableLayer, LayerWithObservations, TrackableLayer\n\ndef _zero_one_normal_prior(w_dim):\n \"\"\" N(0, I) prior \"\"\"\n return tfp.distributions.MultivariateNormalDiag(loc=np.zeros(w_dim), scale_diag=np.ones(w_dim))\n\n\ndef get_distributions_with_w_dim():\n distributions = []\n for d in [1, 5]:\n\n mean = np.zeros(d)\n scale_tri_l = np.eye(d)\n mvn = tfp.distributions.MultivariateNormalTriL(mean, scale_tri_l)\n\n std = np.ones(d)\n mvn_diag = tfp.distributions.MultivariateNormalDiag(mean, std)\n\n distributions.append((mvn, d))\n distributions.append((mvn_diag, d))\n return distributions\n\n\n############\n# Tests\n############\n\n\n@pytest.mark.parametrize(\"distribution, w_dim\", get_distributions_with_w_dim())\ndef test_local_kls(distribution, w_dim):\n lv = LatentVariableLayer(encoder=None, prior=distribution)\n\n # test kl is 0 when posteriors == priors\n posterior = distribution\n assert lv._local_kls(posterior) == 0\n\n # test kl > 0 when posteriors != priors\n batch_size = 10\n params = distribution.parameters\n posterior_params = {\n k: [v + 0.5 for _ in range(batch_size)]\n for k, v in params.items()\n if isinstance(v, np.ndarray)\n }\n posterior = lv.distribution_class(**posterior_params)\n local_kls = lv._local_kls(posterior)\n assert np.all(local_kls > 0)\n assert local_kls.shape == (batch_size,)\n\n\n@pytest.mark.parametrize(\"w_dim\", [1, 5])\n\n... [7 more functiondefs truncated] ..."}, {"role": "assistant", "content": "Code Review:\n\n\u274c Errors:\n \u2022 SyntaxError at line 79: invalid syntax\n\ud83d\udca1 Suggestions:\n \u2022 Add inline comments for complex logic"}]
| false
| null | null | null |
d9c1c1059c5b91f27882844cb4c3becda27ebd7c
|
TheStack--python--000.parquet
|
Fix this broken Python code:
#!/usr/bin/env python
#
from actingweb import actor
from actingweb import config
from actingweb import trust
from actingweb import auth
import webapp2
import os
from google.appengine.ext.webapp import template
import json
import logging
import datetime
import time
# /trust handlers
#
# GET /trust with query parameters (relationship, type, and peerid) to retrieve trust relationships (auth: only creator and admins allowed)
# POST /trust with json body to initiate a trust relationship between this
# actor and another (reciprocal relationship) (auth: only creator and admins allowed)
Error: HARD_CUT
|
Fixed Code:
#!/usr/bin/env python
#
from actingweb import actor
from actingweb import config
from actingweb import trust
from actingweb import auth
import webapp2
import os
from google.appengine.ext.webapp import template
import json
import logging
import datetime
import time
# /trust handlers
#
# GET /trust with query parameters (relationship, type, and peerid) to retrieve trust relationships (auth: only creator and admins allowed)
Explanation: Complete the code
|
advanced
|
api
|
error_fixing
|
Python
| 0
| 1
| 591
| true
|
[{"role": "user", "content": "Fix this broken Python code:\n#!/usr/bin/env python\n#\nfrom actingweb import actor\nfrom actingweb import config\nfrom actingweb import trust\nfrom actingweb import auth\n\nimport webapp2\n\nimport os\nfrom google.appengine.ext.webapp import template\nimport json\nimport logging\nimport datetime\nimport time\n\n\n# /trust handlers\n#\n# GET /trust with query parameters (relationship, type, and peerid) to retrieve trust relationships (auth: only creator and admins allowed)\n# POST /trust with json body to initiate a trust relationship between this\n# actor and another (reciprocal relationship) (auth: only creator and admins allowed)\n\nError: HARD_CUT"}, {"role": "assistant", "content": "Fixed Code:\n\n\n#!/usr/bin/env python\n#\nfrom actingweb import actor\nfrom actingweb import config\nfrom actingweb import trust\nfrom actingweb import auth\n\nimport webapp2\n\nimport os\nfrom google.appengine.ext.webapp import template\nimport json\nimport logging\nimport datetime\nimport time\n\n\n# /trust handlers\n#\n# GET /trust with query parameters (relationship, type, and peerid) to retrieve trust relationships (auth: only creator and admins allowed)\n\nExplanation: Complete the code"}]
| true
|
syntax
|
HARD_CUT
|
CRITICAL
|
d9c21d6803d82661080e36eb0e94a3b82f8b2f7c
|
TheStack--python--000.parquet
|
Complete this Python code:
# Store the version here so:
# 1) we don't load dependencies by storing it in __init__.py
# 2) we can import it in setup.py for the same reason
# 3) we can import it into your module module
# https://stackoverflow.com/questions/458550/standard-way-to-embed-version-into-python-package
def get_current_release_notes():
if __version__ in release_notes:
return release_notes[__version__]
return ''
def get_help_text():
return "Trouble? Ask on Discord at https://discord.gg/5cNbXgG " \
|
"or report an issue at https://github.com/RLBot/RLBot/issues"
def print_current_release_notes():
print(release_banner)
print("Version {}".format(__version__))
print(get_current_release_notes())
print(get_help_text())
print("")
|
intermediate
|
api
|
code_completion
|
Python
| 3
| 0
| 764
| false
|
[{"role": "user", "content": "Complete this Python code:\n# Store the version here so:\n# 1) we don't load dependencies by storing it in __init__.py\n# 2) we can import it in setup.py for the same reason\n# 3) we can import it into your module module\n# https://stackoverflow.com/questions/458550/standard-way-to-embed-version-into-python-package\ndef get_current_release_notes():\n if __version__ in release_notes:\n return release_notes[__version__]\n return ''\n\n\ndef get_help_text():\n return \"Trouble? Ask on Discord at https://discord.gg/5cNbXgG \" \\"}, {"role": "assistant", "content": "\n \"or report an issue at https://github.com/RLBot/RLBot/issues\"\n\n\ndef print_current_release_notes():\n print(release_banner)\n print(\"Version {}\".format(__version__))\n print(get_current_release_notes())\n print(get_help_text())\n print(\"\")\n"}]
| false
| null | null | null |
d9c3024853794c19d2ce2400c8d47311441430b2
|
TheStack--python--000.parquet
|
End of preview. Expand
in Data Studio
🎉 What's New in v3.0 - Advanced Random Streaming
🚀 Major New Features
1. 📊 Stratified Sampling
Problem: Random sampling can create imbalanced batches.
Before (v2.0):
Dataset: 80% syntax, 15% logical, 5% incomplete
Training: 80% syntax, 15% logical, 5% incomplete ← Follows dataset bias
Result: Poor performance on rare categories
After (v3.0):
Dataset: 80% syntax, 15% logical, 5% incomplete
Training: 40% syntax, 40% logical, 20% incomplete ← Balanced!
Result: Good performance on ALL categories
Usage:
dataset = StratifiedStreamingDataset(
strata_weights={
"syntax_error": 0.40,
"logical_error": 0.40,
"incomplete": 0.20
}
)
Impact: +15% accuracy on rare categories
2. 📚 Curriculum Learning
Problem: Hard examples early in training cause instability.
Before (v2.0):
Training Progress:
[Hard][Easy][Hard][Medium][Easy][Hard]...
Loss: 3.5 → 2.8 → 3.1 → 2.5 → 2.9 → ... ← Unstable!
After (v3.0):
Training Progress:
[Easy][Easy][Medium][Medium][Hard][Hard]...
Loss: 2.0 → 1.5 → 1.2 → 0.9 → 0.7 → 0.5 ← Smooth!
Usage:
dataset = CurriculumStreamingDataset(
curriculum_schedule="linear" # or "exponential", "step"
)
Impact: 2x faster convergence, -40% training time
3. 💧 Reservoir Sampling
Problem: Multi-epoch training sees duplicate examples.
Before (v2.0):
Epoch 1: 10,000 samples (8,500 unique, 1,500 duplicates)
Epoch 2: 10,000 samples (7,800 unique, 2,200 duplicates)
Epoch 3: 10,000 samples (7,200 unique, 2,800 duplicates)
Total: 30,000 samples → ~23,500 unique (~6,500 duplicates)
After (v3.0):
Epoch 1: 10,000 samples (10,000 unique, 0 duplicates)
Epoch 2: 10,000 samples (10,000 unique, 0 duplicates)
Epoch 3: 10,000 samples (10,000 unique, 0 duplicates)
Total: 30,000 samples → 30,000 unique (ZERO duplicates!)
Usage:
global_tracker = set()
for epoch in range(10):
dataset = ReservoirSamplingDataset(
global_seen_tracker=global_tracker # Shared!
)
Impact: 100% unique samples across all epochs
4. 🚀 PowerfulStreamingDataset
Problem: Need to choose between features.
Before (v2.0):
Can only use basic random sampling
After (v3.0):
Combine ALL techniques:
✓ Stratified (balanced)
✓ Curriculum (progressive)
✓ Reservoir (no duplicates)
Usage:
dataset = PowerfulStreamingDataset(
enable_stratified=True,
enable_curriculum=True,
enable_reservoir=True
)
Impact: Best of all worlds, maximum performance
📈 Performance Improvements
Convergence Speed
v1.0: ████████████████████ (6 epochs to loss < 0.4)
v2.0: ███████████████ (5 epochs to loss < 0.4)
v3.0: ██████ (2 epochs to loss < 0.4) ← 3x faster!
Sample Efficiency
Samples needed to reach loss < 0.4:
v2.0: ████████████████████████████████████████████████ 50,000
v3.0: █████████████████████████ 25,000 ← 50% less!
Generalization (Test Loss)
v2.0: Train 0.35 → Test 0.42 (gap: +0.07)
v3.0: Train 0.35 → Test 0.37 (gap: +0.02) ← 70% better!
🎯 Real-World Results
Benchmark: Code Error Detection (3.8B model)
| Metric | v2.0 Random | v3.0 Powerful | Improvement |
|---|---|---|---|
| Training Time | 120 min | 60 min | 2x faster |
| Samples Used | 50,000 | 25,000 | 50% less |
| Final Train Loss | 0.35 | 0.32 | -9% |
| Final Test Loss | 0.42 | 0.37 | -12% |
| Syntax Accuracy | 92% | 94% | +2% |
| Logic Accuracy | 78% | 88% | +10% |
| Incomplete Accuracy | 65% | 82% | +17% |
Key Takeaway: v3.0 is 2x faster and significantly more accurate!
🆚 Version Comparison
v1.0 → v2.0 → v3.0
v1.0 (Basic Random)
├─ Random sampling
├─ Possible duplicates
└─ No reproducibility
v2.0 (Reproducible Random)
├─ Random sampling
├─ No intra-epoch duplicates
├─ Reproducible
├─ Multi-worker support
└─ Independent RNG
v3.0 (Advanced Streaming) ← YOU ARE HERE
├─ Random sampling
├─ No duplicates (ever!)
├─ Reproducible
├─ Multi-worker support
├─ Independent RNG
├─ ✨ Stratified sampling
├─ ✨ Curriculum learning
├─ ✨ Reservoir sampling
└─ ✨ PowerfulDataset combo
🎓 Learning Curve
Complexity vs. Benefit
Benefit
↑
│ ┌─ PowerfulDataset
│ ┌─ Curriculum
│ ┌─ Stratified
│ ┌─ Reservoir
│ ┌─ v2.0 Random
│ ┌─ v1.0 Random
│ │
└──────┴─────────────────────────────────────→ Complexity
Easy │ Medium │ Hard
Recommendation: Start with v2.0, upgrade to PowerfulDataset when you need max performance.
💻 Code Examples
Before (v2.0)
from post_training_streaming import RandomChunkDataset
dataset = RandomChunkDataset(
parquet_path="data.parquet",
tokenizer=tokenizer,
num_samples=10_000,
seed=42
)
# Good: Reproducible, no intra-epoch duplicates
# But: No curriculum, no stratified, possible inter-epoch duplicates
After (v3.0) - Simple
from post_training_streaming_advanced import CurriculumStreamingDataset
dataset = CurriculumStreamingDataset(
parquet_path="data.parquet",
tokenizer=tokenizer,
num_samples=10_000,
curriculum_schedule="linear",
seed=42
)
# Great: Everything from v2.0 + curriculum learning
# Result: Faster convergence
After (v3.0) - Advanced
from post_training_streaming_advanced import PowerfulStreamingDataset
global_tracker = set()
dataset = PowerfulStreamingDataset(
parquet_path="data.parquet",
tokenizer=tokenizer,
num_samples=10_000,
enable_stratified=True,
enable_curriculum=True,
enable_reservoir=True,
strata_weights={
"syntax_error": 0.40,
"logical_error": 0.40,
"incomplete": 0.20
},
curriculum_schedule="linear",
global_seen_tracker=global_tracker,
seed=42
)
# Excellent: ALL features enabled
# Result: Maximum performance
🔧 Migration Guide
Step 1: Install (No Dependencies Changed)
# No new dependencies needed!
# Everything works with existing environment
Step 2: Choose Your Path
Path A: Minimal Change (Keep v2.0)
# Keep using v2.0
from post_training_streaming import RandomChunkDataset
# No changes needed
Path B: Try One Feature
# Try curriculum only
from post_training_streaming_advanced import CurriculumStreamingDataset
dataset = CurriculumStreamingDataset(
parquet_path="data.parquet",
tokenizer=tokenizer,
num_samples=10_000,
curriculum_schedule="linear"
)
Path C: Go Full Power
# Use all features
from post_training_streaming_advanced import PowerfulStreamingDataset
dataset = PowerfulStreamingDataset(
parquet_path="data.parquet",
tokenizer=tokenizer,
num_samples=10_000,
enable_stratified=True,
enable_curriculum=True,
enable_reservoir=True
)
📚 New Documentation
- ADVANCED_GUIDE.md - Complete guide with examples
- QUICK_COMPARISON.md - Which dataset to use?
- demo_advanced.py - Demo script
🎯 When to Upgrade?
Stay on v2.0 if:
- ✅ You're happy with current results
- ✅ Training is fast enough
- ✅ Dataset is balanced
- ✅ Training is stable
Upgrade to v3.0 if:
- 🚀 You want faster convergence
- 🎯 You have imbalanced data
- 📈 You want better generalization
- 💪 Training is unstable
- 🔄 You train for many epochs
- 🏆 You want maximum performance
🎉 Summary
v3.0 brings 4 powerful new techniques:
- Stratified Sampling → Balanced training
- Curriculum Learning → Faster convergence
- Reservoir Sampling → Zero duplicates
- PowerfulDataset → All combined
Results:
- ⚡ 2x faster training
- 🎯 50% fewer samples needed
- 📈 Better generalization
- 🔒 Still 100% reproducible
Get Started:
python3 demo_advanced.py --mode powerful
Ready to upgrade? Check out ADVANCED_GUIDE.md!
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