inputs stringlengths 312 52k | targets stringlengths 1 3.1k ⌀ | block_type stringclasses 11
values | scenario stringclasses 7
values |
|---|---|---|---|
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | isinstance(s, | IF | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | end='', | STATEMENT | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | path | STATEMENT | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | _, args = | STATEMENT | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | self._request(*args, | STATEMENT | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | = | STATEMENT | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_types.py<fim_prefix>import json
from typing import Any, TypedDict, Sequence, Literal
import sys
if sys.version_info < (3, 11):
from typing_extensions import NotRequired
else:
from typing import NotRequired
class BaseGenerateResponse(TypedDict):
model: str
'Model used to gener... | json.loads(error).get('error', | STATEMENT | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | = urllib.parse.urlsplit('://'.join([scheme, | STATEMENT | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_types.py<fim_prefix>import json
from typing import Any, TypedDict, Sequence, Literal
import sys
if sys.version_info < (3, 11):
from typing_extensions import NotRequired
else:
from typing import NotRequired
class BaseGenerateResponse(TypedDict):
model: str
'Model used to gener... | parse content | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_types.py<fim_prefix>import json
from typing import Any, TypedDict, Sequence, Literal
import sys
if sys.version_info < (3, 11):
from typing_extensions import NotRequired
else:
from typing import NotRequired
class BaseGenerateResponse(TypedDict):
model: str
'Model used to gener... | to raw content if | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | (binascii.Error, | CATCH | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | ResponseError | CATCH | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | httpx.HTTPStatusError | CATCH | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | as | CATCH | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | as | CATCH | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | as | CATCH | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | line in | FOR | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | in messages | FOR | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | line in | FOR | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | in | FOR | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | in messages | FOR | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | for line in | FOR | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | for line in | FOR | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | def | METHOD | complete_current_header_inner_block_completion |
<filename>ollama-python/ollama/_client.py<fim_prefix>import os
import io
import json
import httpx
import binascii
import platform
import urllib.parse
from os import PathLike
from pathlib import Path
from hashlib import sha256
from base64 import b64encode, b64decode
from typing import Any, AnyStr, Union, Optional, Sequ... | def | METHOD | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/iris_response/conv_filter_bank.py<fim_prefix>from typing import List, Tuple
import numpy as np
from pydantic import root_validator, validator
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import IrisFilterResponse, NormalizedIris
from iris.io.validators import... | to a given normalized iris image with | BLOCK_COMMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/geometry_refinement/contour_points_filter.py<fim_prefix>import cv2
import numpy as np
from pydantic import Field
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import GeometryPolygons, NoiseMask
class ContourPointNoiseEyeballDistanceFilter(Algorithm):
"""I... | those iris/pupil polygons points which are to close | BLOCK_COMMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/normalization/common.py<fim_prefix>from typing import Tuple
import numpy as np
from pydantic import NonNegativeInt
from iris.io.dataclasses import GeometryPolygons
from iris.utils import common
def generate_iris_mask(extrapolated_contours: GeometryPolygons, noise_mask: np.ndarray)... | interpolation points | BLOCK_COMMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/callbacks/pipeline_trace.py<fim_prefix>from __future__ import annotations
from typing import Any, Dict, Iterable, List, Optional
from iris.callbacks.callback_interface import Callback
from iris.io.class_configs import Algorithm
from iris.orchestration.pipeline_dataclasses import PipelineN... | stored | BLOCK_COMMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/callbacks/pipeline_trace.py<fim_prefix>from __future__ import annotations
from typing import Any, Dict, Iterable, List, Optional
from iris.callbacks.callback_interface import Callback
from iris.io.class_configs import Algorithm
from iris.orchestration.pipeline_dataclasses import PipelineN... | result_name | BLOCK_COMMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/geometry_refinement/smoothing.py<fim_prefix>from typing import List, Tuple
import numpy as np
from pydantic import Field
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import EyeCenters, GeometryPolygons
from iris.io.errors import GeometryRefinementError
from i... | into | BLOCK_COMMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/iris_response/probe_schemas/regular_probe_schema.py<fim_prefix>from typing import List, Literal, Optional, Tuple, Union
import numpy as np
from pydantic import Field, PositiveInt, confloat, fields, validator
from iris.io.errors import ProbeSchemaError
from iris.nodes.iris_response.p... | = | STATEMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/eye_properties_estimation/occlusion_calculator.py<fim_prefix>from typing import List, Tuple
import numpy as np
from pydantic import Field
from iris.callbacks.callback_interface import Callback
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import EyeCenters, Ey... | = common.contour_to_mask(extrapolated_polygons.pupil_array, mask_shape=(img_w, | STATEMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/normalization/nonlinear_normalization.py<fim_prefix>from typing import Collection, Tuple
import numpy as np
from pydantic import Field
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import EyeOrientation, GeometryPolygons, IRImage, NoiseMask, NormalizedIris
fro... | = | STATEMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/utils/common.py<fim_prefix>from typing import Tuple
import cv2
import numpy as np
def contour_to_mask(vertices: np.ndarray, mask_shape: Tuple[int, int]) -> np.ndarray:
"""Generate binary mask based on polygon's vertices.
Args:
vertices (np.ndarray): Vertices points array... | height | STATEMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/eye_properties_estimation/bisectors_method.py<fim_prefix>from typing import Tuple
import numpy as np
from pydantic import Field
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import EyeCenters, GeometryPolygons
from iris.io.errors import EyeCentersEstimationErr... | > | STATEMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/iris_response/probe_schemas/regular_probe_schema.py<fim_prefix>from typing import List, Literal, Optional, Tuple, Union
import numpy as np
from pydantic import Field, PositiveInt, confloat, fields, validator
from iris.io.errors import ProbeSchemaError
from iris.nodes.iris_response.p... | = np.linspace(0, | STATEMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/normalization/common.py<fim_prefix>from typing import Tuple
import numpy as np
from pydantic import NonNegativeInt
from iris.io.dataclasses import GeometryPolygons
from iris.utils import common
def generate_iris_mask(extrapolated_contours: GeometryPolygons, noise_mask: np.ndarray)... | xmin, ymin, | STATEMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/iris_response/image_filters/gabor_filters.py<fim_prefix>from typing import Any, Dict, Tuple
import numpy as np
from pydantic import Field, conint, root_validator, validator
import iris.io.validators as pydantic_v
from iris.io.errors import ImageFilterError
from iris.nodes.iris_respo... | = | STATEMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/iris_response_refinement/fragile_bits_refinement.py<fim_prefix>from typing import Literal, Tuple
import numpy as np
from pydantic import confloat
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import IrisFilterResponse
class FragileBitRefinement(Algorithm):
... | in zip(iris_filter_response.iris_responses, | FOR | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/geometry_refinement/smoothing.py<fim_prefix>from typing import List, Tuple
import numpy as np
from pydantic import Field
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import EyeCenters, GeometryPolygons
from iris.io.errors import GeometryRefinementError
from i... | i in range(-kernel_offset, | FOR | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/eye_properties_estimation/bisectors_method.py<fim_prefix>from typing import Tuple
import numpy as np
from pydantic import Field
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import EyeCenters, GeometryPolygons
from iris.io.errors import EyeCentersEstimationErr... | in | FOR | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/io/dataclasses.py<fim_prefix>from __future__ import annotations
from typing import Any, Dict, List, Literal, Tuple
import numpy as np
from pydantic import Field, NonNegativeInt, root_validator, validator
from iris.io import validators as v
from iris.io.class_configs import ImmutableModel... | index, | FOR | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/iris_response/conv_filter_bank.py<fim_prefix>from typing import List, Tuple
import numpy as np
from pydantic import root_validator, validator
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import IrisFilterResponse, NormalizedIris
from iris.io.validators import... | in | FOR | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/callbacks/pipeline_trace.py<fim_prefix>from __future__ import annotations
from typing import Any, Dict, Iterable, List, Optional
from iris.callbacks.callback_interface import Callback
from iris.io.class_configs import Algorithm
from iris.orchestration.pipeline_dataclasses import PipelineN... | in | FOR | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/geometry_refinement/contour_interpolation.py<fim_prefix>from typing import List
import numpy as np
from pydantic import Field
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import GeometryPolygons
class ContourInterpolation(Algorithm):
"""Implementation o... | polygon, | FOR | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/normalization/perspective_normalization.py<fim_prefix>from typing import Collection, List, Tuple
import cv2
import numpy as np
from pydantic import Field, validator
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import EyeOrientation, GeometryPolygons, IRImage,... | radius | FOR | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/normalization/perspective_normalization.py<fim_prefix>from typing import Collection, List, Tuple
import cv2
import numpy as np
from pydantic import Field, validator
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import EyeOrientation, GeometryPolygons, IRImage,... | angle_point_idx in range(src_points.shape[1] - | FOR | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/encoder/iris_encoder.py<fim_prefix>from typing import List
import numpy as np
from pydantic import Field
from iris.callbacks.callback_interface import Callback
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import IrisFilterResponse, IrisTemplate
class IrisEn... | iris_response, mask_response in | FOR | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/normalization/common.py<fim_prefix>from typing import Tuple
import numpy as np
from pydantic import NonNegativeInt
from iris.io.dataclasses import GeometryPolygons
from iris.utils import common
def generate_iris_mask(extrapolated_contours: GeometryPolygons, noise_mask: np.ndarray)... | xmax and not xmax == img_w | IF | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/iris_response/probe_schemas/regular_probe_schema.py<fim_prefix>from typing import List, Literal, Optional, Tuple, Union
import numpy as np
from pydantic import Field, PositiveInt, confloat, fields, validator
from iris.io.errors import ProbeSchemaError
from iris.nodes.iris_response.p... | isinstance(self.params.boundary_phi, | IF | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/geometry_refinement/smoothing.py<fim_prefix>from typing import List, Tuple
import numpy as np
from pydantic import Field
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import EyeCenters, GeometryPolygons
from iris.io.errors import GeometryRefinementError
from i... | < | IF | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/io/dataclasses.py<fim_prefix>from __future__ import annotations
from typing import Any, Dict, List, Literal, Tuple
import numpy as np
from pydantic import Field, NonNegativeInt, root_validator, validator
from iris.io import validators as v
from iris.io.class_configs import ImmutableModel... | name == | IF | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/normalization/common.py<fim_prefix>from typing import Tuple
import numpy as np
from pydantic import NonNegativeInt
from iris.io.dataclasses import GeometryPolygons
from iris.utils import common
def generate_iris_mask(extrapolated_contours: GeometryPolygons, noise_mask: np.ndarray)... | xmax and not xmax == img_w - | IF | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/iris_response/probe_schemas/regular_probe_schema.py<fim_prefix>from typing import List, Literal, Optional, Tuple, Union
import numpy as np
from pydantic import Field, PositiveInt, confloat, fields, validator
from iris.io.errors import ProbeSchemaError
from iris.nodes.iris_response.p... | self.params.boundary_phi | IF | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/io/validators.py<fim_prefix>from typing import Any, Callable, Dict, Iterable, List
import numpy as np
from pydantic import fields
# ----- validators -----
def is_odd(cls: type, v: int, field: fields.ModelField) -> int:
"""Check that kernel size are odd numbers.
Args:
cl... | len(values[field1]) != | IF | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/normalization/common.py<fim_prefix>from typing import Tuple
import numpy as np
from pydantic import NonNegativeInt
from iris.io.dataclasses import GeometryPolygons
from iris.utils import common
def generate_iris_mask(extrapolated_contours: GeometryPolygons, noise_mask: np.ndarray)... | == ymax and not ymax | IF | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/iris_response/image_filters/gabor_filters.py<fim_prefix>from typing import Any, Dict, Tuple
import numpy as np
from pydantic import Field, conint, root_validator, validator
import iris.io.validators as pydantic_v
from iris.io.errors import ImageFilterError
from iris.nodes.iris_respo... | > | IF | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/iris_response/image_filters/gabor_filters.py<fim_prefix>from typing import Any, Dict, Tuple
import numpy as np
from pydantic import Field, conint, root_validator, validator
import iris.io.validators as pydantic_v
from iris.io.errors import ImageFilterError
from iris.nodes.iris_respo... | normalize | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/utils/math.py<fim_prefix>import math
from typing import Dict, Tuple
import numpy as np
def area(array: np.ndarray) -> float:
"""Shoelace formula for simple polygon area calculation.
WARNING: This formula only works for simple polygons, i.e planar polygon without self-intersectio... | fmt: | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/iris_response/image_filters/gabor_filters.py<fim_prefix>from typing import Any, Dict, Tuple
import numpy as np
from pydantic import Field, conint, root_validator, validator
import iris.io.validators as pydantic_v
from iris.io.errors import ImageFilterError
from iris.nodes.iris_respo... | kernel | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/eye_properties_estimation/bisectors_method.py<fim_prefix>from typing import Tuple
import numpy as np
from pydantic import Field
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import EyeCenters, GeometryPolygons
from iris.io.errors import EyeCentersEstimationErr... | vector to center | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/geometry_estimation/lsq_ellipse_fit_with_refinement.py<fim_prefix>from typing import List
import cv2
import numpy as np
from pydantic import Field
from iris.callbacks.callback_interface import Callback
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import Geome... | parallel with x-axis and array | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/iris_response/image_filters/gabor_filters.py<fim_prefix>from typing import Any, Dict, Tuple
import numpy as np
from pydantic import Field, conint, root_validator, validator
import iris.io.validators as pydantic_v
from iris.io.errors import ImageFilterError
from iris.nodes.iris_respo... | convert to | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/iris_response/probe_schemas/regular_probe_schema.py<fim_prefix>from typing import List, Literal, Optional, Tuple, Union
import numpy as np
from pydantic import Field, PositiveInt, confloat, fields, validator
from iris.io.errors import ProbeSchemaError
from iris.nodes.iris_response.p... | if image_shape provided: verify | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/eye_properties_estimation/bisectors_method.py<fim_prefix>from typing import Tuple
import numpy as np
from pydantic import Field
from iris.io.class_configs import Algorithm
from iris.io.dataclasses import EyeCenters, GeometryPolygons
from iris.io.errors import EyeCentersEstimationErr... | xs with ys and flip sign of on of them to | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/iris_response/image_filters/gabor_filters.py<fim_prefix>from typing import Any, Dict, Tuple
import numpy as np
from pydantic import Field, conint, root_validator, validator
import iris.io.validators as pydantic_v
from iris.io.errors import ImageFilterError
from iris.nodes.iris_respo... | calculate mean | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/iris_response/image_filters/gabor_filters.py<fim_prefix>from typing import Any, Dict, Tuple
import numpy as np
from pydantic import Field, conint, root_validator, validator
import iris.io.validators as pydantic_v
from iris.io.errors import ImageFilterError
from iris.nodes.iris_respo... | calculate carrier and | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>open-iris/src/iris/nodes/normalization/common.py<fim_prefix>from typing import Tuple
import numpy as np
from pydantic import NonNegativeInt
from iris.io.dataclasses import GeometryPolygons
from iris.utils import common
def generate_iris_mask(extrapolated_contours: GeometryPolygons, noise_mask: np.ndarray)... | get_pixel_intensity(image: np.ndarray, | METHOD | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/postings.py<fim_prefix>"""Tokenized, searchable text as a pandas dtype."""
import pandas as pd
import numbers
from pandas.api.extensions import ExtensionDtype, ExtensionArray, register_extension_dtype
from pandas.api.types import is_list_like
from pandas.api.extensions import take
impo... | the postings array indicating which elements contain all | BLOCK_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/utils/roaringish.py<fim_prefix>"""Roaring-ish bit array for storing sorted integers in numpy array.
See - https://softwaredoug.com/blog/2024/01/21/search-array-phrase-algorithm
"""
import numpy as np
import sortednp as snp
import logging
import numbers
from typing import Optional, Tup... | bit array into keys / | BLOCK_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/utils/roaringish.py<fim_prefix>"""Roaring-ish bit array for storing sorted integers in numpy array.
See - https://softwaredoug.com/blog/2024/01/21/search-array-phrase-algorithm
"""
import numpy as np
import sortednp as snp
import logging
import numbers
from typing import Optional, Tup... | range | BLOCK_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/phrase/middle_out.py<fim_prefix>"""Encode positions in bits along with some neighboring information for wrapping.
See this notebook for motivation:
https://colab.research.google.com/drive/10tIEkdlCE_1J_CcgEcV0jkLfBc-0H4am?authuser=1#scrollTo=XWzy-n9dF3PG
"""
import numpy as np
impor... | bigram | BLOCK_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/postings.py<fim_prefix>"""Tokenized, searchable text as a pandas dtype."""
import pandas as pd
import numbers
from pandas.api.extensions import ExtensionDtype, ExtensionArray, register_extension_dtype
from pandas.api.types import is_list_like
from pandas.api.extensions import take
impo... | given | BLOCK_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/utils/roaringish.py<fim_prefix>"""Roaring-ish bit array for storing sorted integers in numpy array.
See - https://softwaredoug.com/blog/2024/01/21/search-array-phrase-algorithm
"""
import numpy as np
import sortednp as snp
import logging
import numbers
from typing import Optional, Tup... | payload MSBs | BLOCK_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/solr.py<fim_prefix>"""Utility functions for Solr users of searcharray."""
import re
import pandas as pd
import numpy as np
from typing import List, Optional, Dict, Tuple
from searcharray.postings import SearchArray
from searcharray.similarity import Similarity, default_bm25
def parse... | search over dataframe with searcharray | BLOCK_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/utils/row_viewable_matrix.py<fim_prefix>import numbers
import numpy as np
from searcharray.utils.mat_set import SparseMatSet
from typing import Optional, Union, Dict, List
def rowwise_eq(mat: SparseMatSet, other: SparseMatSet) -> Union[bool, np.ndarray]:
"""Check equals on <fim_s... | a | BLOCK_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/solr.py<fim_prefix>"""Utility functions for Solr users of searcharray."""
import re
import pandas as pd
import numpy as np
from typing import List, Optional, Dict, Tuple
from searcharray.postings import SearchArray
from searcharray.similarity import Similarity, default_bm25
def parse... | qf, | BLOCK_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/postings.py<fim_prefix>"""Tokenized, searchable text as a pandas dtype."""
import pandas as pd
import numbers
from pandas.api.extensions import ExtensionDtype, ExtensionArray, register_extension_dtype
from pandas.api.types import is_list_like
from pandas.api.extensions import take
impo... | a similarity | BLOCK_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/phrase/middle_out.py<fim_prefix>"""Encode positions in bits along with some neighboring information for wrapping.
See this notebook for motivation:
https://colab.research.google.com/drive/10tIEkdlCE_1J_CcgEcV0jkLfBc-0H4am?authuser=1#scrollTo=XWzy-n9dF3PG
"""
import numpy as np
impor... | Find adjacent | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/postings.py<fim_prefix>"""Tokenized, searchable text as a pandas dtype."""
import pandas as pd
import numbers
from pandas.api.extensions import ExtensionDtype, ExtensionArray, register_extension_dtype
from pandas.api.types import is_list_like
from pandas.api.extensions import take
impo... | scalar | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/postings.py<fim_prefix>"""Tokenized, searchable text as a pandas dtype."""
import pandas as pd
import numbers
from pandas.api.extensions import ExtensionDtype, ExtensionArray, register_extension_dtype
from pandas.api.types import is_list_like
from pandas.api.extensions import take
impo... | compute doc freq first, | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/solr.py<fim_prefix>"""Utility functions for Solr users of searcharray."""
import re
import pandas as pd
import numpy as np
from typing import List, Optional, Dict, Tuple
from searcharray.postings import SearchArray
from searcharray.similarity import Similarity, default_bm25
def parse... | otherwise, simple | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/phrase/middle_out.py<fim_prefix>"""Encode positions in bits along with some neighboring information for wrapping.
See this notebook for motivation:
https://colab.research.google.com/drive/10tIEkdlCE_1J_CcgEcV0jkLfBc-0H4am?authuser=1#scrollTo=XWzy-n9dF3PG
"""
import numpy as np
impor... | ceiling | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/postings.py<fim_prefix>"""Tokenized, searchable text as a pandas dtype."""
import pandas as pd
import numbers
from pandas.api.extensions import ExtensionDtype, ExtensionArray, register_extension_dtype
from pandas.api.types import is_list_like
from pandas.api.extensions import take
impo... | (not | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/similarity.py<fim_prefix>"""Similarity functions given term stats."""
from typing import Protocol
import numpy as np
class Similarity(Protocol):
"""Similarity function protocol."""
def __call__(self, term_freqs: np.ndarray, doc_freqs: np.ndarray, doc_lens: np.ndarray,
... | doc | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/postings.py<fim_prefix>"""Tokenized, searchable text as a pandas dtype."""
import pandas as pd
import numbers
from pandas.api.extensions import ExtensionDtype, ExtensionArray, register_extension_dtype
from pandas.api.types import is_list_like
from pandas.api.extensions import take
impo... | number | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/phrase/middle_out.py<fim_prefix>"""Encode positions in bits along with some neighboring information for wrapping.
See this notebook for motivation:
https://colab.research.google.com/drive/10tIEkdlCE_1J_CcgEcV0jkLfBc-0H4am?authuser=1#scrollTo=XWzy-n9dF3PG
"""
import numpy as np
impor... | Combine lhs and rhs matches from two | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/utils/roaringish.py<fim_prefix>"""Roaring-ish bit array for storing sorted integers in numpy array.
See - https://softwaredoug.com/blog/2024/01/21/search-array-phrase-algorithm
"""
import numpy as np
import sortednp as snp
import logging
import numbers
from typing import Optional, Tup... | UNFORTUNATE | LINE_COMMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/postings.py<fim_prefix>"""Tokenized, searchable text as a pandas dtype."""
import pandas as pd
import numbers
from pandas.api.extensions import ExtensionDtype, ExtensionArray, register_extension_dtype
from pandas.api.types import is_list_like
from pandas.api.extensions import take
impo... | len(tokens) | IF | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/postings.py<fim_prefix>"""Tokenized, searchable text as a pandas dtype."""
import pandas as pd
import numbers
from pandas.api.extensions import ExtensionDtype, ExtensionArray, register_extension_dtype
from pandas.api.types import is_list_like
from pandas.api.extensions import take
impo... | isinstance(token, | IF | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/utils/roaringish.py<fim_prefix>"""Roaring-ish bit array for storing sorted integers in numpy array.
See - https://softwaredoug.com/blog/2024/01/21/search-array-phrase-algorithm
"""
import numpy as np
import sortednp as snp
import logging
import numbers
from typing import Optional, Tup... | isinstance(keys, | IF | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/postings.py<fim_prefix>"""Tokenized, searchable text as a pandas dtype."""
import pandas as pd
import numbers
from pandas.api.extensions import ExtensionDtype, ExtensionArray, register_extension_dtype
from pandas.api.types import is_list_like
from pandas.api.extensions import take
impo... | isinstance(token, | IF | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/solr.py<fim_prefix>"""Utility functions for Solr users of searcharray."""
import re
import pandas as pd
import numpy as np
from typing import List, Optional, Dict, Tuple
from searcharray.postings import SearchArray
from searcharray.similarity import Similarity, default_bm25
def parse... | num_clauses <= | IF | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/solr.py<fim_prefix>"""Utility functions for Solr users of searcharray."""
import re
import pandas as pd
import numpy as np
from typing import List, Optional, Dict, Tuple
from searcharray.postings import SearchArray
from searcharray.similarity import Similarity, default_bm25
def parse... | mm | IF | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/solr.py<fim_prefix>"""Utility functions for Solr users of searcharray."""
import re
import pandas as pd
import numpy as np
from typing import List, Optional, Dict, Tuple
from searcharray.postings import SearchArray
from searcharray.similarity import Similarity, default_bm25
def parse... | > | IF | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/solr.py<fim_prefix>"""Utility functions for Solr users of searcharray."""
import re
import pandas as pd
import numpy as np
from typing import List, Optional, Dict, Tuple
from searcharray.postings import SearchArray
from searcharray.similarity import Similarity, default_bm25
def parse... | '<' in | IF | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/phrase/middle_out.py<fim_prefix>"""Encode positions in bits along with some neighboring information for wrapping.
See this notebook for motivation:
https://colab.research.google.com/drive/10tIEkdlCE_1J_CcgEcV0jkLfBc-0H4am?authuser=1#scrollTo=XWzy-n9dF3PG
"""
import numpy as np
impor... | == self.max_doc_id | IF | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/postings.py<fim_prefix>"""Tokenized, searchable text as a pandas dtype."""
import pandas as pd
import numbers
from pandas.api.extensions import ExtensionDtype, ExtensionArray, register_extension_dtype
from pandas.api.types import is_list_like
from pandas.api.extensions import take
impo... | np.array([], | STATEMENT | complete_current_header_inner_block_completion |
<filename>searcharray/searcharray/solr.py<fim_prefix>"""Utility functions for Solr users of searcharray."""
import re
import pandas as pd
import numpy as np
from typing import List, Optional, Dict, Tuple
from searcharray.postings import SearchArray
from searcharray.similarity import Similarity, default_bm25
def parse... | = | STATEMENT | complete_current_header_inner_block_completion |
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