



"""simple docstring"""
import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Value
from datasets.packaged_modules.json.json import Json
@pytest.fixture
def   A_    (     _lowercase      ):







						'''simple docstring'''


						snake_case_					:int		=     tmp_path / """file.jsonl"""
						snake_case_					:Any		=     textwrap.dedent(
						    """\
        {\"col_1\": -1}
        {\"col_1\": 1, \"col_2\": 2}
        {\"col_1\": 10, \"col_2\": 20}
        """      )
						with open(_lowercase,   """w"""      ) as f:
												f.write(_lowercase      )
						return str(_lowercase      )
@pytest.fixture
def   A_    (     _lowercase      ):







						'''simple docstring'''


						snake_case_					:List[Any]		=     tmp_path / """file_utf16_encoded.jsonl"""
						snake_case_					:str		=     textwrap.dedent(
						    """\
        {\"col_1\": -1}
        {\"col_1\": 1, \"col_2\": 2}
        {\"col_1\": 10, \"col_2\": 20}
        """      )
						with open(_lowercase,   """w""",   encoding="""utf-16"""      ) as f:
												f.write(_lowercase      )
						return str(_lowercase      )
@pytest.fixture
def   A_    (     _lowercase      ):







						'''simple docstring'''


						snake_case_					:Union[str, Any]		=     tmp_path / """file_with_list_of_dicts.json"""
						snake_case_					:Dict		=     textwrap.dedent(
						    """\
        [
            {\"col_1\": -1},
            {\"col_1\": 1, \"col_2\": 2},
            {\"col_1\": 10, \"col_2\": 20}
        ]
        """      )
						with open(_lowercase,   """w"""      ) as f:
												f.write(_lowercase      )
						return str(_lowercase      )
@pytest.fixture
def   A_    (     _lowercase      ):







						'''simple docstring'''


						snake_case_					:List[Any]		=     tmp_path / """file_with_list_of_dicts_field.json"""
						snake_case_					:Any		=     textwrap.dedent(
						    """\
        {
            \"field1\": 1,
            \"field2\": \"aabb\",
            \"field3\": [
                {\"col_1\": -1},
                {\"col_1\": 1, \"col_2\": 2},
                {\"col_1\": 10, \"col_2\": 20}
            ]
        }
        """      )
						with open(_lowercase,   """w"""      ) as f:
												f.write(_lowercase      )
						return str(_lowercase      )
@pytest.mark.parametrize(
    """file_fixture, config_kwargs""",   [
        ("""jsonl_file""", {}),
        ("""jsonl_file_utf16_encoded""", {"""encoding""": """utf-16"""}),
        ("""json_file_with_list_of_dicts""", {}),
        ("""json_file_with_list_of_dicts_field""", {"""field""": """field3"""}),
    ],   )
def   A_    (     _lowercase,   _lowercase,   _lowercase      ):







						'''simple docstring'''


						snake_case_					:Optional[Any]		=     Json(**_lowercase      )
						snake_case_					:int		=     json._generate_tables([[request.getfixturevalue(_lowercase      )]]      )
						snake_case_					:Optional[int]		=     pa.concat_tables([table for _, table in generator]      )
						assert pa_table.to_pydict() == {"col_1": [-1, 1, 10], "col_2": [None, 2, 20]}

@pytest.mark.parametrize(
    """file_fixture, config_kwargs""",   [
        (
            """jsonl_file""",
            {"""features""": Features({"""col_1""": Value("""int64"""      ), """col_2""": Value("""int64"""      ), """missing_col""": Value("""string"""      )}      )},
        ),
        (
            """json_file_with_list_of_dicts""",
            {"""features""": Features({"""col_1""": Value("""int64"""      ), """col_2""": Value("""int64"""      ), """missing_col""": Value("""string"""      )}      )},
        ),
        (
            """json_file_with_list_of_dicts_field""",
            {
                """field""": """field3""",
                """features""": Features(
                    {"""col_1""": Value("""int64"""      ), """col_2""": Value("""int64"""      ), """missing_col""": Value("""string"""      )}      ),
            },
        ),
    ],   )
def   A_    (     _lowercase,   _lowercase,   _lowercase      ):







						'''simple docstring'''


						snake_case_					:Dict		=     Json(**_lowercase      )
						snake_case_					:List[Any]		=     json._generate_tables([[request.getfixturevalue(_lowercase      )]]      )
						snake_case_					:Optional[Any]		=     pa.concat_tables([table for _, table in generator]      )
						assert pa_table.to_pydict() == {"col_1": [-1, 1, 10], "col_2": [None, 2, 20], "missing_col": [None, None, None]}





"""simple docstring"""
import colorsys
import io

import cva
import matplotlib as mpl
import matplotlib.colors as mplc
import matplotlib.figure as mplfigure
import numpy as np
import torch
from matplotlib.backends.backend_agg import FigureCanvasAgg

from utils import img_tensorize


__a           =							10_00
class 							lowerCamelCase    :






					'''simple docstring'''





					def __init__(			self:				Dict		,	snake_case:				List[str]		,	snake_case:				Optional[int]=1.2		,	snake_case:				List[Any]="g"		,	snake_case:				Dict=0.5		,	snake_case:				Dict="-"		,	snake_case:				Tuple="test_out.jpg"		,	snake_case:				List[str]=True		,	snake_case:				List[Any]=False		,	snake_case:				List[str]=None		,	snake_case:				int=None		,	snake_case:				Tuple=0.7		,	)  ->      Optional[int]:
											if isinstance(snake_case		,	torch.Tensor		):
																	snake_case_					:Union[str, Any]		=     img.numpy().astype("""np.uint8"""		)
											if isinstance(snake_case		,	snake_case		):
																	snake_case_					:Optional[Any]		=     img_tensorize(snake_case		)
											assert isinstance(snake_case		,	np.ndarray		)

											snake_case_,			snake_case_					:Dict		=     img.shape[1], img.shape[0]
											snake_case_					:List[Any]		=     mplfigure.Figure(frameon=snake_case		)
											snake_case_					:Any		=     fig.get_dpi()
											snake_case_					:Tuple		=     (width * scale + 1E-2) / dpi
											snake_case_					:Any		=     (height * scale + 1E-2) / dpi
											fig.set_size_inches(snake_case		,	snake_case		)
											snake_case_					:str		=     fig.add_axes([0.0, 0.0, 1.0, 1.0]		)
											ax.axis("""off"""		)
											ax.set_xlim(0.0		,	snake_case		)
											ax.set_ylim(snake_case		)

											snake_case_					:str		=     saveas
											snake_case_					:str		=     rgb
											snake_case_					:Any		=     pynb
											snake_case_					:List[str]		=     img
											snake_case_					:Dict		=     edgecolor
											snake_case_					:Any		=     0.5
											snake_case_					:Dict		=     linestyle
											snake_case_					:Optional[Any]		=     int(np.sqrt(min(snake_case		,	snake_case		)		) * scale // 3		)
											snake_case_					:Optional[Any]		=     width
											snake_case_					:List[str]		=     height
											snake_case_					:int		=     scale
											snake_case_					:Tuple		=     fig
											snake_case_					:Any		=     ax
											snake_case_					:Union[str, Any]		=     pad
											snake_case_					:Dict		=     idaobj
											snake_case_					:Any		=     idaattr
											snake_case_					:Any		=     FigureCanvasAgg(snake_case		)






					def   lowerCAmelCase_							(			self:				int		,	snake_case:				Dict		,	snake_case:				Any=None		)  ->      List[str]:
											if color is None:
																	snake_case_					:Any		=     self.edgecolor
											((snake_case_),			(snake_case_),			(snake_case_),			(snake_case_))					:List[Any]		=     box
											snake_case_					:Union[str, Any]		=     xa - xa
											snake_case_					:Dict		=     ya - ya
											self.ax.add_patch(
											    mpl.patches.Rectangle(
											        (xa, ya)		,	snake_case		,	snake_case		,	fill=snake_case		,	edgecolor=snake_case		,	linewidth=self.font_size // 3		,	alpha=self.alpha		,	linestyle=self.linestyle		,	)		)






					def   lowerCAmelCase_							(			self:				Dict		,	snake_case:				Union[str, Any]		,	snake_case:				Union[str, Any]=None		,	snake_case:				Any=None		,	snake_case:				List[str]=None		,	snake_case:				int=None		)  ->      Any:
											if len(boxes.shape		) > 2:
																	snake_case_					:str		=     boxes[0]
											if len(obj_ids.shape		) > 1:
																	snake_case_					:Optional[int]		=     obj_ids[0]
											if len(obj_scores.shape		) > 1:
																	snake_case_					:Union[str, Any]		=     obj_scores[0]
											if len(attr_ids.shape		) > 1:
																	snake_case_					:Union[str, Any]		=     attr_ids[0]
											if len(attr_scores.shape		) > 1:
																	snake_case_					:Optional[int]		=     attr_scores[0]
											if isinstance(snake_case		,	torch.Tensor		):
																	snake_case_					:str		=     boxes.numpy()
											if isinstance(snake_case		,	snake_case		):
																	snake_case_					:List[str]		=     np.array(snake_case		)
											assert isinstance(snake_case		,	np.ndarray		)
											snake_case_					:Optional[int]		=     np.prod(boxes[:, 2:] - boxes[:, :2]		,	axis=1		)
											snake_case_					:Optional[int]		=     np.argsort(-areas		).tolist()
											snake_case_					:int		=     boxes[sorted_idxs] if boxes is not None else None
											snake_case_					:Optional[int]		=     obj_ids[sorted_idxs] if obj_ids is not None else None
											snake_case_					:int		=     obj_scores[sorted_idxs] if obj_scores is not None else None
											snake_case_					:str		=     attr_ids[sorted_idxs] if attr_ids is not None else None
											snake_case_					:Any		=     attr_scores[sorted_idxs] if attr_scores is not None else None

											snake_case_					:Union[str, Any]		=     [self._random_color(maximum=1		) for _ in range(len(snake_case		)		)]
											snake_case_					:List[Any]		=     [assigned_colors[idx] for idx in sorted_idxs]
											if obj_ids is not None:
																	snake_case_					:Optional[int]		=     self._create_text_labels_attr(snake_case		,	snake_case		,	snake_case		,	snake_case		)
																	for i in range(len(snake_case		)		):
																							snake_case_					:Any		=     assigned_colors[i]
																							self.add_box(boxes[i]		,	snake_case		)
																							self.draw_labels(labels[i]		,	boxes[i]		,	snake_case		)






					def   lowerCAmelCase_							(			self:				Any		,	snake_case:				Dict		,	snake_case:				str		,	snake_case:				Any		)  ->      Union[str, Any]:
											snake_case_,			snake_case_,			snake_case_,			snake_case_					:Optional[int]		=     box
											snake_case_					:Dict		=     (xa, ya)
											snake_case_					:Union[str, Any]		=     (ya - ya) * (xa - xa)
											snake_case_					:Optional[Any]		=     _SMALL_OBJ * self.scale
											if instance_area < small or ya - ya < 40 * self.scale:
																	if ya >= self.height - 5:
																							snake_case_					:str		=     (xa, ya)
																	else:
																							snake_case_					:Any		=     (xa, ya)

											snake_case_					:Optional[Any]		=     (ya - ya) / np.sqrt(self.height * self.width		)
											snake_case_					:Dict		=     self._change_color_brightness(snake_case		,	brightness_factor=0.7		)
											snake_case_					:List[Any]		=     np.clip((height_ratio - 0.0_2) / 0.0_8 + 1		,	1.2		,	2		)
											font_size *= 0.7_5 * self.font_size

											self.draw_text(
											    text=snake_case		,	position=snake_case		,	color=snake_case		,	)






					def   lowerCAmelCase_							(			self:				List[str]		,	snake_case:				Union[str, Any]		,	snake_case:				Optional[int]		,	snake_case:				Union[str, Any]="g"		,	snake_case:				Tuple="left"		,	)  ->      str:
											snake_case_					:Optional[Any]		=     0
											snake_case_					:Union[str, Any]		=     self.font_size
											snake_case_					:Any		=     np.maximum(list(mplc.to_rgb(snake_case		)		)		,	0.2		)
											snake_case_					:Optional[Any]		=     max(0.8		,	np.max(snake_case		)		)
											snake_case_					:List[str]		=     {
											    """facecolor""": """black""",
											    """alpha""": self.alpha,
											    """pad""": self.pad,
											    """edgecolor""": """none""",
											}
											snake_case_,			snake_case_					:Optional[int]		=     position
											self.ax.text(
											    snake_case		,	snake_case		,	snake_case		,	size=font_size * self.scale		,	family="""sans-serif"""		,	bbox=snake_case		,	verticalalignment="""top"""		,	horizontalalignment=snake_case		,	color=snake_case		,	zorder=10		,	rotation=snake_case		,	)






					def   lowerCAmelCase_							(			self:				Union[str, Any]		,	snake_case:				Tuple=None		)  ->      Dict:
											if saveas is None:
																	snake_case_					:int		=     self.saveas
											if saveas.lower().endswith(""".jpg"""		) or saveas.lower().endswith(""".png"""		):
																	cva.imwrite(
																	    snake_case		,	self._get_buffer()[:, :, ::-1]		,	)
											else:
																	self.fig.savefig(snake_case		)






					def   lowerCAmelCase_							(			self:				str		,	snake_case:				List[Any]		,	snake_case:				Dict		,	snake_case:				Any		,	snake_case:				Tuple		)  ->      Dict:
											snake_case_					:int		=     [self.idaobj[i] for i in classes]
											snake_case_					:List[str]		=     [self.idaattr[i] for i in attr_classes]
											snake_case_					:List[str]		=     [
											    f"""{label} {score:.2f} {attr} {attr_score:.2f}"""
											    for label, score, attr, attr_score in zip(snake_case		,	snake_case		,	snake_case		,	snake_case		)
											]
											return labels






					def   lowerCAmelCase_							(			self:				Dict		,	snake_case:				Any		,	snake_case:				Dict		)  ->      Tuple:
											snake_case_					:Union[str, Any]		=     [self.idaobj[i] for i in classes]
											if scores is not None:
																	if labels is None:
																							snake_case_					:List[Any]		=     ["""{:.0f}%""".format(s * 100		) for s in scores]
																	else:
																							snake_case_					:Tuple		=     ["""{} {:.0f}%""".format(snake_case		,	s * 100		) for li, s in zip(snake_case		,	snake_case		)]
											return labels






					def   lowerCAmelCase_							(			self:				str		,	snake_case:				str=255		)  ->      List[str]:
											snake_case_					:Optional[Any]		=     np.random.randint(0		,	len(_COLORS		)		)
											snake_case_					:int		=     _COLORS[idx] * maximum
											if not self.rgb:
																	snake_case_					:List[Any]		=     ret[::-1]
											return ret






					def   lowerCAmelCase_							(			self:				Optional[int]		)  ->      Union[str, Any]:
											if not self.pynb:
																	snake_case_,			snake_case_					:str		=     self.canvas.print_to_buffer()
																	if (width, height) != (self.width, self.height):
																							snake_case_					:Optional[int]		=     cva.resize(self.img		,	(width, height)		)
																	else:
																							snake_case_					:List[Any]		=     self.img
											else:
																	snake_case_					:List[Any]		=     io.BytesIO()  # works for cairo backend
																	self.canvas.print_rgba(snake_case		)
																	snake_case_,			snake_case_					:Tuple		=     self.width, self.height
																	snake_case_					:Any		=     buf.getvalue()
																	snake_case_					:List[str]		=     self.img

											snake_case_					:Optional[int]		=     np.frombuffer(snake_case		,	dtype="""uint8"""		)
											snake_case_					:Optional[Any]		=     buffer.reshape(snake_case		,	snake_case		,	4		)
											snake_case_,			snake_case_					:Tuple		=     np.split(snake_case		,	[3]		,	axis=2		)

											try:
																	import numexpr as ne  # fuse them with numexpr

																	snake_case_					:Any		=     ne.evaluate("""img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)"""		)
											except ImportError:
																	snake_case_					:Union[str, Any]		=     alpha.astype("""float32"""		) / 2_5_5.0
																	snake_case_					:int		=     img * (1 - alpha) + rgb * alpha

											return visualized_image.astype("""uint8"""		)






					def   lowerCAmelCase_							(			self:				Optional[Any]		,	snake_case:				int		,	snake_case:				Optional[Any]		)  ->      Tuple:
											assert brightness_factor >= -1.0 and brightness_factor <= 1.0
											snake_case_					:int		=     mplc.to_rgb(snake_case		)
											snake_case_					:List[Any]		=     colorsys.rgb_to_hls(*mplc.to_rgb(snake_case		)		)
											snake_case_					:Optional[Any]		=     polygon_color[1] + (brightness_factor * polygon_color[1])
											snake_case_					:List[str]		=     0.0 if modified_lightness < 0.0 else modified_lightness
											snake_case_					:Dict		=     1.0 if modified_lightness > 1.0 else modified_lightness
											snake_case_					:int		=     colorsys.hls_to_rgb(polygon_color[0]		,	snake_case		,	polygon_color[2]		)
											return modified_color

__a           =							(
    np.array(
        [
            0.0_00,
            0.4_47,
            0.7_41,
            0.8_50,
            0.3_25,
            0.0_98,
            0.9_29,
            0.6_94,
            0.1_25,
            0.4_94,
            0.1_84,
            0.5_56,
            0.4_66,
            0.6_74,
            0.1_88,
            0.3_01,
            0.7_45,
            0.9_33,
            0.6_35,
            0.0_78,
            0.1_84,
            0.3_00,
            0.3_00,
            0.3_00,
            0.6_00,
            0.6_00,
            0.6_00,
            1.0_00,
            0.0_00,
            0.0_00,
            1.0_00,
            0.5_00,
            0.0_00,
            0.7_49,
            0.7_49,
            0.0_00,
            0.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.0_00,
            1.0_00,
            0.6_67,
            0.0_00,
            1.0_00,
            0.3_33,
            0.3_33,
            0.0_00,
            0.3_33,
            0.6_67,
            0.0_00,
            0.3_33,
            1.0_00,
            0.0_00,
            0.6_67,
            0.3_33,
            0.0_00,
            0.6_67,
            0.6_67,
            0.0_00,
            0.6_67,
            1.0_00,
            0.0_00,
            1.0_00,
            0.3_33,
            0.0_00,
            1.0_00,
            0.6_67,
            0.0_00,
            1.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.3_33,
            0.5_00,
            0.0_00,
            0.6_67,
            0.5_00,
            0.0_00,
            1.0_00,
            0.5_00,
            0.3_33,
            0.0_00,
            0.5_00,
            0.3_33,
            0.3_33,
            0.5_00,
            0.3_33,
            0.6_67,
            0.5_00,
            0.3_33,
            1.0_00,
            0.5_00,
            0.6_67,
            0.0_00,
            0.5_00,
            0.6_67,
            0.3_33,
            0.5_00,
            0.6_67,
            0.6_67,
            0.5_00,
            0.6_67,
            1.0_00,
            0.5_00,
            1.0_00,
            0.0_00,
            0.5_00,
            1.0_00,
            0.3_33,
            0.5_00,
            1.0_00,
            0.6_67,
            0.5_00,
            1.0_00,
            1.0_00,
            0.5_00,
            0.0_00,
            0.3_33,
            1.0_00,
            0.0_00,
            0.6_67,
            1.0_00,
            0.0_00,
            1.0_00,
            1.0_00,
            0.3_33,
            0.0_00,
            1.0_00,
            0.3_33,
            0.3_33,
            1.0_00,
            0.3_33,
            0.6_67,
            1.0_00,
            0.3_33,
            1.0_00,
            1.0_00,
            0.6_67,
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    )
    .astype(np.floataa)
    .reshape(-1, 3)
)
