inputs stringlengths 312 52k | targets stringlengths 1 3.1k ⌀ | block_type stringclasses 11
values | scenario stringclasses 7
values |
|---|---|---|---|
<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... | null | IF | complete_current_header_empty_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... | null | IF | complete_current_header_empty_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)... | null | IF | complete_current_header_empty_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... | null | IF | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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,... | null | TRY | complete_current_header_empty_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)... | null | TRY | complete_current_header_empty_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)... | null | TRY | complete_current_header_empty_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)... | null | CATCH | complete_current_header_empty_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,... | null | CATCH | complete_current_header_empty_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)... | null | CATCH | complete_current_header_empty_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)... | null | METHOD | complete_current_header_empty_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)... | null | METHOD | complete_current_header_empty_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... | null | BLOCK_COMMENT | complete_current_header_empty_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... | null | BLOCK_COMMENT | complete_current_header_empty_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... | null | BLOCK_COMMENT | complete_current_header_empty_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... | null | BLOCK_COMMENT | complete_current_header_empty_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... | null | BLOCK_COMMENT | complete_current_header_empty_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... | null | BLOCK_COMMENT | complete_current_header_empty_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... | null | BLOCK_COMMENT | complete_current_header_empty_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 a<fim_... | null | BLOCK_COMMENT | complete_current_header_empty_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... | null | BLOCK_COMMENT | complete_current_header_empty_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... | null | BLOCK_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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,
... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | LINE_COMMENT | complete_current_header_empty_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... | null | IF | complete_current_header_empty_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... | null | IF | complete_current_header_empty_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... | null | IF | complete_current_header_empty_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... | null | IF | complete_current_header_empty_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... | null | IF | complete_current_header_empty_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... | null | IF | complete_current_header_empty_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... | null | IF | complete_current_header_empty_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... | null | IF | complete_current_header_empty_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... | null | IF | complete_current_header_empty_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... | null | IF | complete_current_header_empty_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... | null | STATEMENT | complete_current_header_empty_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... | null | STATEMENT | complete_current_header_empty_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... | null | STATEMENT | complete_current_header_empty_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... | null | STATEMENT | complete_current_header_empty_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... | null | STATEMENT | complete_current_header_empty_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... | null | STATEMENT | complete_current_header_empty_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... | null | STATEMENT | complete_current_header_empty_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... | null | STATEMENT | complete_current_header_empty_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... | null | STATEMENT | complete_current_header_empty_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... | null | STATEMENT | complete_current_header_empty_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... | null | FOR | complete_current_header_empty_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... | null | FOR | complete_current_header_empty_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... | null | FOR | complete_current_header_empty_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... | null | FOR | complete_current_header_empty_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... | null | FOR | complete_current_header_empty_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... | null | FOR | complete_current_header_empty_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... | null | FOR | complete_current_header_empty_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... | null | FOR | complete_current_header_empty_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... | null | FOR | complete_current_header_empty_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... | null | FOR | complete_current_header_empty_completion |
<filename>searcharray/searcharray/term_dict.py<fim_prefix>import sys
class TermMissingError(KeyError):
def __init__(self, msg):
super().__init__(msg)
class TermDict:
def __init__(self):
self.term_to_ids = {}
self.id_to_terms = {}
def add_term(self, term):
if term in se... | null | TRY | complete_current_header_empty_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... | null | TRY | complete_current_header_empty_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... | null | TRY | complete_current_header_empty_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... | null | TRY | complete_current_header_empty_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... | null | TRY | complete_current_header_empty_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... | null | TRY | complete_current_header_empty_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... | null | TRY | complete_current_header_empty_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... | null | TRY | complete_current_header_empty_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... | null | TRY | complete_current_header_empty_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... | null | TRY | complete_current_header_empty_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... | null | CATCH | complete_current_header_empty_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... | null | CATCH | complete_current_header_empty_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... | null | CATCH | complete_current_header_empty_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... | null | CATCH | complete_current_header_empty_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... | null | CATCH | complete_current_header_empty_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... | null | CATCH | complete_current_header_empty_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... | null | CATCH | complete_current_header_empty_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... | null | CATCH | complete_current_header_empty_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... | null | CATCH | complete_current_header_empty_completion |
<filename>searcharray/searcharray/term_dict.py<fim_prefix>import sys
class TermMissingError(KeyError):
def __init__(self, msg):
super().__init__(msg)
class TermDict:
def __init__(self):
self.term_to_ids = {}
self.id_to_terms = {}
def add_term(self, term):
if term in se... | null | CATCH | complete_current_header_empty_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... | null | METHOD | complete_current_header_empty_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... | null | METHOD | complete_current_header_empty_completion |
<filename>tanuki_py/src/tanuki/language_models/language_model_manager.py<fim_prefix>import json
from typing import Any, Dict
from tanuki.function_modeler import FunctionModeler
from tanuki.language_models.llm_api_abc import LLM_API
from tanuki.models.function_description import FunctionDescription
from tanuki.models.f... | null | BLOCK_COMMENT | complete_current_header_empty_completion |
<filename>tanuki_py/src/tanuki/validator.py<fim_prefix>import abc
from collections import defaultdict
import collections
import typing
from collections import deque
import dataclasses
import inspect
import json
from dataclasses import is_dataclass
from typing import get_origin, get_args, Any, Mapping, MutableMapping, O... | null | BLOCK_COMMENT | complete_current_header_empty_completion |
<filename>tanuki_py/src/tanuki/utils.py<fim_prefix>import dataclasses
import datetime
import inspect
import json
import typing
from typing import get_args, Literal
import string
import types
def json_default(thing):
try:
return dataclasses.asdict(thing)
except TypeError:
pass
if isinstance(... | null | BLOCK_COMMENT | complete_current_header_empty_completion |
<filename>tanuki_py/src/tanuki/trackers/abc_buffered_logger.py<fim_prefix>import json
from abc import abstractmethod
from typing import Dict, Any, Literal
from tanuki.bloom_filter import BloomFilter
from tanuki.constants import EXPECTED_ITEMS, FALSE_POSITIVE_RATE, ALIGN_FILE_EXTENSION, \
POSITIVE_FILE_EXTENSION, N... | null | BLOCK_COMMENT | complete_current_header_empty_completion |
<filename>tanuki_py/src/tanuki/persistence/filter/filesystem_bloom.py<fim_prefix>import os
from bitarray._bitarray import bitarray
from tanuki.persistence.filter.bloom_interface import IBloomFilterPersistence
class BloomFilterFileSystemDriver(IBloomFilterPersistence):
"""
This is a Filesystem implementation... | null | BLOCK_COMMENT | complete_current_header_empty_completion |
<filename>tanuki_py/src/tanuki/models/function_config.py<fim_prefix>from pydantic import BaseModel
from typing import Dict, List
from tanuki.language_models.llm_configs.abc_base_config import BaseModelConfig
from tanuki.language_models.llm_configs import DEFAULT_TEACHER_MODELS, DEFAULT_STUDENT_MODELS
from tanuki.consta... | null | BLOCK_COMMENT | complete_current_header_empty_completion |
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