<commit_before>''' Testing module for niworkflows.reports.core '''

import os
from pathlib import Path
from pkg_resources import resource_filename
import tempfile
from itertools import product

import matplotlib.pyplot as plt
from bids.layout.writing import build_path

import pytest

from ..core import Report


@pytest.fixture()
def bids_sessions(tmpdir_factory):
    f, _ = plt.subplots()
    svg_dir = tmpdir_factory.mktemp('work') / 'fmriprep'
    svg_dir.ensure_dir()

    pattern = (
        "sub-{subject}[/ses-{session}]/{datatype<anat|func>}/"
        "sub-{subject}[_ses-{session}][_task-{task}][_acq-{acquisition}]"
        "[_ce-{contrast}][_dir-{direction}][_rec-{reconstruction}]"
        "[_mod-{modality}][_run-{run}][_echo-{echo}][_space-{space}]"
        "[_desc-{desc}]_{suffix<dseg|T1w|bold>}.{extension<svg>}"
    )
    subjects = ['01']
    sessions = ['pre', '1']
    tasks = ['t1', 't2', 't3']
    runs = ['01', '02', None]
    descs = ['aroma', 'bbregister', 'carpetplot', 'rois']
    # create functional data for both sessions
    all_combos = product(subjects, sessions, tasks, runs, descs)
    for subject, session, task, run, desc in all_combos:
        entities = {
            'subject': subject,
            'session': session,
            'task': task,
            'run': run,
            'desc': desc,
            'extension': 'svg',
            'suffix': 'bold',
            'datatype': 'func'
        }
        bids_path = build_path(entities, pattern)
        file_path = svg_dir / bids_path
        file_path.ensure()
        f.savefig(file_path)

    # create anatomical data for both sessions
    anat_opts = [
        {'desc': 'brain'},
        {'desc': 'conform'},
        {'desc': 'reconall'},
        {'desc': 'rois'},
        {'suffix': 'dseg'},
        {'space': 'MNI152NLin6Asym'},
        {'space': 'MNI152NLin2009cAsym'},
    ]
    anat_combos = product(subjects, sessions, anat_opts)
    for subject, session, anat_opt in anat_combos:
        anat_entities = {
            "subject": subject,
            "session": session,
            "datatype": 'anat',
            "suffix": 't1w'
        }
        anat_entities.update(**anat_opt)
        bids_path = build_path(entities, pattern)
        file_path = svg_dir / bids_path
        file_path.ensure()
        f.savefig(file_path)

    return svg_dir.dirname


@pytest.fixture()
def test_report1():
    test_data_path = resource_filename(
        'niworkflows',
        os.path.join('data', 'tests', 'work', 'reportlets'))
    out_dir = tempfile.mkdtemp()

    return Report(Path(test_data_path), Path(out_dir), 'fakeiuud',<commit_msg>force strings for py35<commit_after>''' Testing module for niworkflows.reports.core '''

import os
from pathlib import Path
from pkg_resources import resource_filename
import tempfile
from itertools import product

import matplotlib.pyplot as plt
from bids.layout.writing import build_path

import pytest

from ..core import Report


@pytest.fixture()
def bids_sessions(tmpdir_factory):
    f, _ = plt.subplots()
    svg_dir = tmpdir_factory.mktemp('work') / 'fmriprep'
    svg_dir.ensure_dir()

    pattern = (
        "sub-{subject}[/ses-{session}]/{datatype<anat|func>}/"
        "sub-{subject}[_ses-{session}][_task-{task}][_acq-{acquisition}]"
        "[_ce-{contrast}][_dir-{direction}][_rec-{reconstruction}]"
        "[_mod-{modality}][_run-{run}][_echo-{echo}][_space-{space}]"
        "[_desc-{desc}]_{suffix<dseg|T1w|bold>}.{extension<svg>}"
    )
    subjects = ['01']
    sessions = ['pre', '1']
    tasks = ['t1', 't2', 't3']
    runs = ['01', '02', None]
    descs = ['aroma', 'bbregister', 'carpetplot', 'rois']
    # create functional data for both sessions
    all_combos = product(subjects, sessions, tasks, runs, descs)
    for subject, session, task, run, desc in all_combos:
        entities = {
            'subject': subject,
            'session': session,
            'task': task,
            'run': run,
            'desc': desc,
            'extension': 'svg',
            'suffix': 'bold',
            'datatype': 'func'
        }
        bids_path = build_path(entities, pattern)
        file_path = svg_dir / bids_path
        file_path.ensure()
        f.savefig(str(file_path))

    # create anatomical data for both sessions
    anat_opts = [
        {'desc': 'brain'},
        {'desc': 'conform'},
        {'desc': 'reconall'},
        {'desc': 'rois'},
        {'suffix': 'dseg'},
        {'space': 'MNI152NLin6Asym'},
        {'space': 'MNI152NLin2009cAsym'},
    ]
    anat_combos = product(subjects, sessions, anat_opts)
    for subject, session, anat_opt in anat_combos:
        anat_entities = {
            "subject": subject,
            "session": session,
            "datatype": 'anat',
            "suffix": 't1w'
        }
        anat_entities.update(**anat_opt)
        bids_path = build_path(entities, pattern)
        file_path = svg_dir / bids_path
        file_path.ensure()
        f.savefig(str(file_path))

    return svg_dir.dirname


@pytest.fixture()
def test_report1():
    test_data_path = resource_filename(
        'niworkflows',
        os.path.join('data', 'tests', 'work', 'reportlets'))
    out_dir = tempfile.mkdtemp()

    return Report(Path(test_data_path), Path(out_dir), 'fakeiuud',
{'fraction_non_alphanumeric': 0.1518987341772152, 'fraction_numerical': 0.009446438692612885, 'mean_word_length': 2.691771269177127, 'pattern_counts': {'":': 8, '<': 9, '<?xml version=': 0, '>': 9, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '1067590', 'n_tokens_mistral': 1830, 'n_tokens_neox': 1752, 'n_words': 362}