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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<content_hash: string, timestamp: string, source: string, line_count: int64, max_line_length: int64, avg_line_length: double, alnum_prop: double, repo_name: string, id: string, size: string, binary: bool, copies: string, ref: string, path: string, mode: string, license: string, language: list<item: struct<name: string, bytes: string>>, symlink_target: string>
to
{'content_hash': Value(dtype='string', id=None), 'timestamp': Value(dtype='string', id=None), 'source': Value(dtype='string', id=None), 'line_count': Value(dtype='int64', id=None), 'max_line_length': Value(dtype='int64', id=None), 'avg_line_length': Value(dtype='float64', id=None), 'alnum_prop': Value(dtype='float64', id=None), 'repo_name': Value(dtype='string', id=None), 'id': Value(dtype='string', id=None), 'size': Value(dtype='string', id=None), 'binary': Value(dtype='bool', id=None), 'copies': Value(dtype='string', id=None), 'ref': Value(dtype='string', id=None), 'path': Value(dtype='string', id=None), 'mode': Value(dtype='string', id=None), 'license': Value(dtype='string', id=None), 'language': [{'name': Value(dtype='string', id=None), 'bytes': Value(dtype='string', id=None)}]}
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp>
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2122, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<content_hash: string, timestamp: string, source: string, line_count: int64, max_line_length: int64, avg_line_length: double, alnum_prop: double, repo_name: string, id: string, size: string, binary: bool, copies: string, ref: string, path: string, mode: string, license: string, language: list<item: struct<name: string, bytes: string>>, symlink_target: string>
to
{'content_hash': Value(dtype='string', id=None), 'timestamp': Value(dtype='string', id=None), 'source': Value(dtype='string', id=None), 'line_count': Value(dtype='int64', id=None), 'max_line_length': Value(dtype='int64', id=None), 'avg_line_length': Value(dtype='float64', id=None), 'alnum_prop': Value(dtype='float64', id=None), 'repo_name': Value(dtype='string', id=None), 'id': Value(dtype='string', id=None), 'size': Value(dtype='string', id=None), 'binary': Value(dtype='bool', id=None), 'copies': Value(dtype='string', id=None), 'ref': Value(dtype='string', id=None), 'path': Value(dtype='string', id=None), 'mode': Value(dtype='string', id=None), 'license': Value(dtype='string', id=None), 'language': [{'name': Value(dtype='string', id=None), 'bytes': Value(dtype='string', id=None)}]}
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1529, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1154, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
text string | meta dict |
|---|---|
module SpreeProductGridSort
module Search
module Ordered
def ordered
if taxon
base_scope = Spree::Product.active
base_scope.join(:grid_orders).where("#{Spree::GridOrder.table_name}.taxonomy_id" => taxon.taxonomy.id)
base_scope.in_taxon taxon
else
retr... | {
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"repo_name": "ginlane/spree_product_grid_sort",
"id": "85d124c1a607ac17bdf5d756623c6fbd0309ecc3",
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// Copyright 2015 The Bazel Authors. 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 appl... | {
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"timestamp": "",
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"repo_name": "kchodorow/bazel",
"id": "d7be1ffaf465f59cefdcb317831bbeb2a83bcd4b",
"size": "55... |
import {ProjectorEventContext} from './projectorEventContext';
import {CameraType, LabelRenderParams, RenderContext} from './renderContext';
import {BoundingBox, ScatterPlotRectangleSelector} from './scatterPlotRectangleSelector';
import {ScatterPlotVisualizer} from './scatterPlotVisualizer';
import * as util from '.... | {
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"repo_name": "MoamerEncsConcordiaCa/tensorflow",
"id": "b40863cead1555c7d397caada96ba742b36c15c1"... |
package fi.iki.elonen;
import java.util.HashMap;
import java.util.Map;
import org.junit.Before;
import org.junit.Test;
import fi.iki.elonen.NanoHTTPD.IHTTPSession;
import fi.iki.elonen.NanoHTTPD.Response;
import org.junit.runner.RunWith;
import org.mockito.ArgumentCaptor;
import org.mockito.Captor;
import org.mockit... | {
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"id": "04a497bad2946c2501d7dcbe6a30324680f2ea54",
... |
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/stock.iml" filepath="$PROJECT_DIR$/.idea/stock.iml" />
</modules>
</component>
</project> | {
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"repo_name": "Shaharking/stocksApp",
"id": "20fb10ea0ba4ca4d21c4b3d21ffb50cc8ead549e",
"size": "262",
"bin... |
package org.oep.dossiermgt.model.impl;
import com.liferay.portal.kernel.util.StringBundler;
import com.liferay.portal.model.CacheModel;
import org.oep.dossiermgt.model.StatisticByDay;
import java.io.Externalizable;
import java.io.IOException;
import java.io.ObjectInput;
import java.io.ObjectOutput;
import java.ut... | {
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"timestamp": "",
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"repo_name": "openegovplatform/OEPv2",
"id": "88153668a698026a783fa5e3c15e8e40e0ab419f",
"size"... |
'use strict'
try {
module.exports = require('./bindings')
} catch (err) {
if (process.env.DEBUG) {
console.error('Secp256k1 bindings are not compiled. Pure JS implementation will be used.')
}
module.exports = require('./elliptic')
}
| {
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"timestamp": "",
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"alnum_prop": 0.6747967479674797,
"repo_name": "DigixGlobal/truffle-lightwallet-provider",
"id": "8ccc45339f622103b119620360e4aa81cfa8a73c",
"s... |
using System.Data.Common;
namespace Rocks.Profiling.Models
{
/// <summary>
/// Predefined names of profile operations.
/// </summary>
public static class ProfileOperationNames
{
/// <summary>
/// Execution of <see cref="DbCommand.ExecuteNonQuery"/> method.
/// </sum... | {
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"timestamp": "",
"source": "github",
"line_count": 40,
"max_line_length": 94,
"avg_line_length": 37.175,
"alnum_prop": 0.6220578345662408,
"repo_name": "MichaelLogutov/Rocks.Profiling",
"id": "90fbcfa69a0f829a479e610e6dbb6b159cb5493c",
"size": "1... |
void usage(int exitCode = 0)
{
QString usage = QLatin1String("usage: ") + QLatin1String(_NAME_) + QLatin1String(" ");
QString space = usage;
space = space.fill(' ');
QTextStream stream(stdout);
stream << usage << "[-s|--scheduler] [--iface=<name>]\n";
stream << space << "[-h|--help] [--version]... | {
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"timestamp": "",
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"line_count": 62,
"max_line_length": 116,
"avg_line_length": 32.83870967741935,
"alnum_prop": 0.5849705304518664,
"repo_name": "manyoso/mob",
"id": "039cae0264615e548a81bbb2da54dbfd2650d89a",
"size": "2143",
... |
from __future__ import absolute_import
import os
import platform
import tempfile
# Find the best implementation available
try:
from cStringIO import StringIO
except ImportError:
from StringIO import StringIO
import mock
from nose.tools import assert_raises
import numpy as np
import PIL.Image
from . import e... | {
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"timestamp": "",
"source": "github",
"line_count": 188,
"max_line_length": 142,
"avg_line_length": 34.40425531914894,
"alnum_prop": 0.48144712430426717,
"repo_name": "bygreencn/DIGITS",
"id": "a5552e7c4c40c7a6ef29e8f258847e4fef2d5635",
"size": "6... |
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<!--
Licensed to Apereo under one or more contributor license
agreements. See the NOTICE file distributed with this work
for additional information regarding copyright ownership.
Apereo licenses this file to you under the Apache License,
Versi... | {
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"timestamp": "",
"source": "github",
"line_count": 26,
"max_line_length": 643,
"avg_line_length": 65.26923076923077,
"alnum_prop": 0.7554507955215085,
"repo_name": "vbonamy/esup-uportal",
"id": "09c1fe068d1f1dd92932a6bbc3883959ff28df14",
"size": ... |
/*************************************************************************/
/* library_godot_webxr.js */
/*************************************************************************/
/* This file is part of: */
/* ... | {
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"timestamp": "",
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"alnum_prop": 0.6638741229002764,
"repo_name": "honix/godot",
"id": "6e19a8ac6e5f975c47922a944588df1561f86f99",
"size": "23515",... |
"""Abstraction for Arcyd's git operations."""
# =============================================================================
# CONTENTS
# -----------------------------------------------------------------------------
# abdt_git
#
# Public Classes:
# Repo
# .is_identical
# .get_remote_branches
# .checkout_for... | {
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"timestamp": "",
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"repo_name": "cs-shadow/phabricator-tools",
"id": "d87632b3e3c758d65da02884923263acb24dcc52",
... |
#import "FBSession.h"
#import "FBSession-Private.h"
@implementation FBSession
static FBSession *_activeSession;
+ (instancetype)activeSession
{
return _activeSession;
}
+ (void)markSessionActive:(FBSession *)session
{
_activeSession = session;
}
+ (instancetype)sessionWithIdentifier:(NSString *)identifier
{
... | {
"content_hash": "08ed660afec52a643625479e2e04e683",
"timestamp": "",
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"line_count": 35,
"max_line_length": 64,
"avg_line_length": 14.857142857142858,
"alnum_prop": 0.7076923076923077,
"repo_name": "truveris/WebDriverAgent",
"id": "7f13bb7e49a5eea8fd80d2a3051f487c965f35f4",
"size... |
<?php
$ext = new ReflectionExtension('reflection');
var_dump($ext->getClasses());
?>
==DONE==
| {
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"alnum_prop": 0.6595744680851063,
"repo_name": "evnix/go-php-parser",
"id": "26b2d31368fffa44352b0b2655a6a2083d1c26f7",
"size": "94",
"binary"... |
package org.jboss.pnc.integration.endpoints;
import org.jboss.arquillian.container.test.api.Deployment;
import org.jboss.arquillian.container.test.api.RunAsClient;
import org.jboss.arquillian.junit.Arquillian;
import org.jboss.pnc.client.BuildConfigurationClient;
import org.jboss.pnc.client.ClientException;
import or... | {
"content_hash": "7b42d3aed4ca63ced8f56e58936b3cf2",
"timestamp": "",
"source": "github",
"line_count": 381,
"max_line_length": 120,
"avg_line_length": 43.485564304461946,
"alnum_prop": 0.714087397392564,
"repo_name": "alexcreasy/pnc",
"id": "d7aea201ce605405e4af11588021a0a114cc5187",
"size": "1727... |
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