repo_id stringlengths 21 96 | file_path stringlengths 31 155 | content stringlengths 1 92.9M | __index_level_0__ int64 0 0 |
|---|---|---|---|
rapidsai_public_repos/gpu-bdb/gpu_bdb | rapidsai_public_repos/gpu-bdb/gpu_bdb/benchmark_runner/benchmark_config.yaml | # benchmark config yaml
### Please fill these accordingly
data_dir:
output_dir:
file_format: parquet
output_filetype: parquet
split_row_groups: False
repartition_small_table: True
benchmark_runner_include_sql:
backend: GPU
scheduler_file_path:
dask_profile: False
verify_results: False
verify_dir:
sheet:
tab:
get_rea... | 0 |
rapidsai_public_repos/gpu-bdb/gpu_bdb | rapidsai_public_repos/gpu-bdb/gpu_bdb/benchmark_runner/__init__.py | # Copyright (c) 2020, NVIDIA CORPORATION.
| 0 |
rapidsai_public_repos/gpu-bdb/gpu_bdb/benchmark_runner | rapidsai_public_repos/gpu-bdb/gpu_bdb/benchmark_runner/slurm/run_bench.sh | #!/bin/bash
set -e pipefail
#########################################################
### Core Benchmark Configuration ###
#########################################################
export DATA_DIRECTORY=""
export OUTPUT_DIRECTORY=""
export GOOGLE_SPREADSHEET_NAME="GPU-BDB"
export GOOGLE_SPREADSHEET_TAB="SF1K TCP Runs"... | 0 |
rapidsai_public_repos/gpu-bdb/gpu_bdb/benchmark_runner | rapidsai_public_repos/gpu-bdb/gpu_bdb/benchmark_runner/slurm/run.sh | #!/bin/bash
ACCOUNT=rapids
PARTITION=backfill
NODES=1
GPUS_PER_NODE=16
export NUM_WORKERS=$((NODES*GPUS_PER_NODE))
DATA_PATH="/lustre/fsw/rapids"
MOUNT_PATH="/gpu-bdb-data/"
IMAGE=${IMAGE:-/lustre/fsw/rapids/gpu-bdb/containers/gpu-bdb-20210421.sqsh}
RUN_BENCH_PATH=${RUN_BENCH_PATH:-$HOME/gpu-bdb/gpu_bdb/benchmark_run... | 0 |
rapidsai_public_repos/gpu-bdb/gpu_bdb/benchmark_runner | rapidsai_public_repos/gpu-bdb/gpu_bdb/benchmark_runner/slurm/Dockerfile | ARG CUDA_VER=11.2.0
ARG LINUX_VER=ubuntu18.04
FROM nvidia/cuda:${CUDA_VER}-devel-${LINUX_VER}
RUN apt update -y && apt-get --fix-missing upgrade -y && apt install -y git
ADD https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh /miniconda.sh
RUN bash /miniconda.sh -b -p /opt/conda
ENV GCC_VERSION=9... | 0 |
rapidsai_public_repos/gpu-bdb/gpu_bdb/benchmark_runner | rapidsai_public_repos/gpu-bdb/gpu_bdb/benchmark_runner/slurm/rapids-gpu-bdb-cuda11.2.yml | channels:
- rapidsai-nightly
- nvidia
- conda-forge
dependencies:
- python=3.8
- cudatoolkit=11.2
- cudf
- rmm
- dask-cuda
- dask-cudf
- cuml
- dask
- distributed
- scipy
- scikit-learn
- spacy=2.3
- oauth2client
- asyncssh
- psutil
- ipykernel
- jupyterlab
- gspread
- oauth... | 0 |
rapidsai_public_repos | rapidsai_public_repos/cuspatial/.pre-commit-config.yaml | # Copyright (c) 2019-2023, NVIDIA CORPORATION.
repos:
- repo: https://github.com/PyCQA/isort
rev: 5.12.0
hooks:
- id: isort
# Use the config file specific to each subproject so that each
# project can specify its own first/third-party packages.
... | 0 |
rapidsai_public_repos | rapidsai_public_repos/cuspatial/pyproject.toml | [tool.black]
line-length = 79
target-version = ["py39"]
include = '\.py?$'
force-exclude = '''
/(
thirdparty |
\.eggs |
\.git |
\.hg |
\.mypy_cache |
\.tox |
\.venv |
_build |
buck-out |
build |
dist
)/
'''
[tool.codespell]
# note: pre-commit passes explicit lists of files h... | 0 |
rapidsai_public_repos | rapidsai_public_repos/cuspatial/.flake8 | # Copyright (c) 2019-2023, NVIDIA CORPORATION.
[flake8]
filename = *.py, *.pyx, *.pxd, *.pxi
exclude = __init__.py, *.egg, build, docs, .git
force-check = True
ignore =
# line break before binary operator
W503,
# whitespace before :
E203
per-file-ignores =
# Rules ignored only in Cython:
# E211... | 0 |
rapidsai_public_repos | rapidsai_public_repos/cuspatial/fetch_rapids.cmake | # =============================================================================
# Copyright (c) 2018-2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
#
# http://www.apa... | 0 |
rapidsai_public_repos | rapidsai_public_repos/cuspatial/README.md | # <div align="left"><img src="https://rapids.ai/assets/images/rapids_logo.png" width="90px"/> cuSpatial - GPU-Accelerated Vector Geospatial Data Analysis</div>
> **Note**
>
> cuSpatial depends on [cuDF](https://github.com/rapidsai/cudf) and [RMM](https://github.com/rapidsai/rmm) from [RAPIDS](https://rapids.ai/).... | 0 |
rapidsai_public_repos | rapidsai_public_repos/cuspatial/CHANGELOG.md | # cuSpatial 23.10.00 (11 Oct 2023)
## 🚨 Breaking Changes
- Update to Cython 3.0.0 ([#1235](https://github.com/rapidsai/cuspatial/pull/1235)) [@vyasr](https://github.com/vyasr)
## 🐛 Bug Fixes
- Add `curl` for notebook testing ([#1281](https://github.com/rapidsai/cuspatial/pull/1281)) [@raydouglass](https://github.... | 0 |
rapidsai_public_repos | rapidsai_public_repos/cuspatial/build.sh | #!/bin/bash
# Copyright (c) 2019, NVIDIA CORPORATION.
# cuSpatial build script
# This script is used to build the component(s) in this repo from
# source, and can be called with various options to customize the
# build as needed (see the help output for details)
# Abort script on first error
set -e
NUMARGS=$#
ARGS... | 0 |
rapidsai_public_repos | rapidsai_public_repos/cuspatial/dependencies.yaml | # Dependency list for https://github.com/rapidsai/dependency-file-generator
files:
all:
output: conda
matrix:
cuda: ["11.8", "12.0"]
arch: [x86_64]
includes:
- build_cpp
- build_python
- cudatoolkit
- develop
- docs
- py_version
- depends_on_rmm
... | 0 |
rapidsai_public_repos | rapidsai_public_repos/cuspatial/CONTRIBUTING.md | # Contributing to cuSpatial
See [cuspatial contributing guide](https://docs.rapids.ai/api/cuspatial/nightly/developer_guide/contributing_guide.html)
| 0 |
rapidsai_public_repos | rapidsai_public_repos/cuspatial/LICENSE | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
... | 0 |
rapidsai_public_repos | rapidsai_public_repos/cuspatial/VERSION | 23.12.00
| 0 |
rapidsai_public_repos | rapidsai_public_repos/cuspatial/print_env.sh | #!/usr/bin/env bash
# Copyright (c) 2022, NVIDIA CORPORATION.
# Reports relevant environment information useful for diagnosing and
# debugging cuSpatial issues.
# Usage:
# "./print_env.sh" - prints to stdout
# "./print_env.sh > env.txt" - prints to file "env.txt"
print_env() {
echo "**git***"
if [ "$(git rev-parse --i... | 0 |
rapidsai_public_repos/cuspatial/python | rapidsai_public_repos/cuspatial/python/cuproj/pyproject.toml | # Copyright (c) 2022-2023, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 0 |
rapidsai_public_repos/cuspatial/python | rapidsai_public_repos/cuspatial/python/cuproj/CMakeLists.txt | # =============================================================================
# Copyright (c) 2023, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
#
# http://www.apache.o... | 0 |
rapidsai_public_repos/cuspatial/python | rapidsai_public_repos/cuspatial/python/cuproj/README.md | # <div align="left"><img src="https://rapids.ai/assets/images/rapids_logo.png" width="90px"/> cuProj: GPU-Accelerated Coordinate Projection</div>
> **Note**
>
> cuProj depends on [RMM](https://github.com/rapidsai/rmm) from [RAPIDS](https://rapids.ai/).
## Resources
- [cuProj User's Guide](https://docs.rapids.ai... | 0 |
rapidsai_public_repos/cuspatial/python | rapidsai_public_repos/cuspatial/python/cuproj/setup.py | # Copyright (c) 2018-2023, NVIDIA CORPORATION.
from setuptools import find_packages
from skbuild import setup
packages = find_packages(include=["cuproj*"])
setup(
packages=packages,
package_data={
key: ["VERSION", "*.pxd", "*.hpp", "*.cuh"] for key in packages
},
zip_safe=False,
)
| 0 |
rapidsai_public_repos/cuspatial/python | rapidsai_public_repos/cuspatial/python/cuproj/LICENSE | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
... | 0 |
rapidsai_public_repos/cuspatial/python | rapidsai_public_repos/cuspatial/python/cuproj/.coveragerc | # Configuration file for Python coverage tests
[run]
source = cuproj
| 0 |
rapidsai_public_repos/cuspatial/python/cuproj | rapidsai_public_repos/cuspatial/python/cuproj/cuproj/transformer.py | import cupy as cp
from cuproj._lib.transform import Transformer as _Transformer
class Transformer:
"""A transformer object to transform coordinates from one CRS to another.
Notes
-----
Currently only the EPSG authority is supported.
Currently only projection from WGS84 to UTM (and vice versa)
... | 0 |
rapidsai_public_repos/cuspatial/python/cuproj | rapidsai_public_repos/cuspatial/python/cuproj/cuproj/_version.py | # Copyright (c) 2023, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 0 |
rapidsai_public_repos/cuspatial/python/cuproj | rapidsai_public_repos/cuspatial/python/cuproj/cuproj/__init__.py | # Copyright (c) 2023, NVIDIA CORPORATION.
from ._version import __git_commit__, __version__
from .transformer import Transformer
| 0 |
rapidsai_public_repos/cuspatial/python/cuproj | rapidsai_public_repos/cuspatial/python/cuproj/cuproj/VERSION | 23.12.00
| 0 |
rapidsai_public_repos/cuspatial/python/cuproj/cuproj | rapidsai_public_repos/cuspatial/python/cuproj/cuproj/cuprojshim/CMakeLists.txt | # =============================================================================
# Copyright (c) 2023, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
#
# http://www.apache.o... | 0 |
rapidsai_public_repos/cuspatial/python/cuproj/cuproj/cuprojshim | rapidsai_public_repos/cuspatial/python/cuproj/cuproj/cuprojshim/include/cuprojshim.hpp | /*
* Copyright (c) 2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... | 0 |
rapidsai_public_repos/cuspatial/python/cuproj/cuproj/cuprojshim/include | rapidsai_public_repos/cuspatial/python/cuproj/cuproj/cuprojshim/include/detail/cuprojshim.hpp | /*
* Copyright (c) 2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... | 0 |
rapidsai_public_repos/cuspatial/python/cuproj/cuproj/cuprojshim | rapidsai_public_repos/cuspatial/python/cuproj/cuproj/cuprojshim/src/cuprojshim.cu | /*
* Copyright (c) 2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... | 0 |
rapidsai_public_repos/cuspatial/python/cuproj/cuproj | rapidsai_public_repos/cuspatial/python/cuproj/cuproj/tests/test_transform.py |
import cupy as cp
import geopandas as gpd
import numpy as np
import pytest
from cupy.testing import assert_allclose
from pyproj import Transformer
from pyproj.enums import TransformDirection
from shapely.geometry import Point
import cuspatial
from cuproj import Transformer as cuTransformer
valid_crs_combos = [
(... | 0 |
rapidsai_public_repos/cuspatial/python/cuproj/cuproj | rapidsai_public_repos/cuspatial/python/cuproj/cuproj/_lib/CMakeLists.txt | # =============================================================================
# Copyright (c) 2023, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
#
# http://www.apache.o... | 0 |
rapidsai_public_repos/cuspatial/python/cuproj/cuproj | rapidsai_public_repos/cuspatial/python/cuproj/cuproj/_lib/transform.pyx | import cupy as cp
from libc.stdint cimport uintptr_t
from libcpp.string cimport string
from cuproj._lib.cpp.cuprojshim cimport make_projection, transform, vec_2d
from cuproj._lib.cpp.operation cimport direction
from cuproj._lib.cpp.projection cimport projection
cdef direction_string_to_enum(dir: str):
return di... | 0 |
rapidsai_public_repos/cuspatial/python/cuproj/cuproj/_lib | rapidsai_public_repos/cuspatial/python/cuproj/cuproj/_lib/cpp/projection.pxd | from libcpp.vector cimport vector
from cuproj._lib.cpp.operation cimport direction, operation_type
from cuproj._lib.cpp.projection_parameters cimport projection_parameters
cdef extern from "cuproj/projection.cuh" namespace "cuproj" nogil:
cdef cppclass projection[Coordinate, T=*]:
projection()
pr... | 0 |
rapidsai_public_repos/cuspatial/python/cuproj/cuproj/_lib | rapidsai_public_repos/cuspatial/python/cuproj/cuproj/_lib/cpp/operation.pxd |
cdef extern from "cuproj/operation/operation.cuh" namespace "cuproj" nogil:
cdef enum operation_type:
AXIS_SWAP = 0
DEGREES_TO_RADIANS = 1
CLAMP_ANGULAR_COORDINATES = 2
OFFSET_SCALE_CARTESIAN_COORDINATES = 3
TRANSVERSE_MERCATOR = 4
cdef enum direction:
FORWARD =... | 0 |
rapidsai_public_repos/cuspatial/python/cuproj/cuproj/_lib | rapidsai_public_repos/cuspatial/python/cuproj/cuproj/_lib/cpp/cuprojshim.pxd | from libcpp.string cimport string
from cuproj._lib.cpp.operation cimport direction
from cuproj._lib.cpp.projection cimport projection
cdef extern from "cuprojshim.hpp" namespace "cuproj" nogil:
cdef cppclass vec_2d[T]:
T x
T y
cdef extern from "cuprojshim.hpp" namespace "cuprojshim" nogil:
p... | 0 |
rapidsai_public_repos/cuspatial/python/cuproj/cuproj/_lib | rapidsai_public_repos/cuspatial/python/cuproj/cuproj/_lib/cpp/ellipsoid.pxd | cdef extern from "cuproj/ellipsoid.hpp" namespace "cuproj" nogil:
cdef cppclass ellipsoid[T]:
ellipsoid() except+
ellipsoid(T, T) except+
| 0 |
rapidsai_public_repos/cuspatial/python/cuproj/cuproj/_lib | rapidsai_public_repos/cuspatial/python/cuproj/cuproj/_lib/cpp/projection_parameters.pxd | from cuproj._lib.cpp.ellipsoid cimport ellipsoid
cdef extern from "cuproj/projection_parameters.hpp" namespace "cuproj" nogil:
cdef enum hemisphere:
NORTH = 0
SOUTH = 1
cdef cppclass projection_parameters[T]:
projection_parameters(
ellipsoid[T],
int,
... | 0 |
rapidsai_public_repos/cuspatial/python | rapidsai_public_repos/cuspatial/python/cuspatial/pyproject.toml | # Copyright (c) 2022-2023, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 0 |
rapidsai_public_repos/cuspatial/python | rapidsai_public_repos/cuspatial/python/cuspatial/CMakeLists.txt | # =============================================================================
# Copyright (c) 2022-2023, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
#
# http://www.apa... | 0 |
rapidsai_public_repos/cuspatial/python | rapidsai_public_repos/cuspatial/python/cuspatial/README.md | # <div align="left"><img src="https://rapids.ai/assets/images/rapids_logo.png" width="90px"/> cuSpatial - GPU-Accelerated Vector Geospatial Data Analysis</div>
> **Note**
>
> cuSpatial depends on [cuDF](https://github.com/rapidsai/cudf) and [RMM](https://github.com/rapidsai/rmm) from [RAPIDS](https://rapids.ai/).... | 0 |
rapidsai_public_repos/cuspatial/python | rapidsai_public_repos/cuspatial/python/cuspatial/setup.py | # Copyright (c) 2018-2023, NVIDIA CORPORATION.
from setuptools import find_packages
from skbuild import setup
packages = find_packages(include=["cuspatial*"])
setup(
packages=packages,
package_data={
key: ["VERSION", "*.pxd", "*.hpp", "*.cuh"] for key in packages
},
zip_safe=False,
)
| 0 |
rapidsai_public_repos/cuspatial/python | rapidsai_public_repos/cuspatial/python/cuspatial/LICENSE | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
... | 0 |
rapidsai_public_repos/cuspatial/python | rapidsai_public_repos/cuspatial/python/cuspatial/.coveragerc | # Configuration file for Python coverage tests
[run]
source = cuspatial
| 0 |
rapidsai_public_repos/cuspatial/python/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/_version.py | # Copyright (c) 2023, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/__init__.py | # Copyright (c) 2023, NVIDIA CORPORATION.
from ._version import __git_commit__, __version__
from .core.geodataframe import GeoDataFrame
from .core.geoseries import GeoSeries
from .core.spatial import (
directed_hausdorff_distance,
haversine_distance,
join_quadtree_and_bounding_boxes,
linestring_boundin... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/VERSION | 23.12.00
| 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/utils/join_utils.py | # Copyright (c) 2023, NVIDIA CORPORATION.
import operator
from numba import cuda
import rmm
from cudf.core.buffer import acquire_spill_lock
@cuda.jit
def binarize(in_col, out, width):
"""Convert any positive integer to a binary array."""
i = cuda.grid(1)
if i < in_col.size:
n = in_col[i]
... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/utils/column_utils.py | # Copyright (c) 2020-2023, NVIDIA CORPORATION.
from typing import TypeVar
import numpy as np
from cudf.api.types import is_datetime_dtype
from cudf.core.column.column import column_empty
from cuspatial.core._column.geometa import Feature_Enum
from cuspatial.core.dtypes import (
linestring_dtype,
multipoint_... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/utils/binpred_utils.py | # Copyright (c) 2023, NVIDIA CORPORATION.
import cupy as cp
import numpy as np
import cudf
import cuspatial
from cuspatial.core._column.geocolumn import ColumnType
from cuspatial.core._column.geometa import Feature_Enum
"""Column-Type objects to use for simple syntax in the `DispatchDict` contained
in each `feature... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/test_geodataframe.py | # Copyright (c) 2020-2021, NVIDIA CORPORATION.
import geopandas as gpd
import numpy as np
import pandas as pd
import pytest
from geopandas.testing import assert_geodataframe_equal
from shapely.affinity import rotate
from shapely.geometry import (
LineString,
MultiLineString,
MultiPoint,
MultiPolygon,
... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/test_none.py | # Copyright (c) 2022 NVIDIA CORPORATION.
import geopandas as gpd
import pandas as pd
from shapely.geometry import Point, Polygon
import cuspatial
def test_got_from_geopandas():
expected = gpd.GeoSeries([None])
got = cuspatial.from_geopandas(expected)
pd.testing.assert_series_equal(expected, got.to_geopan... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/test_from_geopandas.py | # Copyright (c) 2020-2021, NVIDIA CORPORATION.
import geopandas as gpd
import pandas as pd
from shapely.geometry import (
LineString,
MultiLineString,
MultiPoint,
MultiPolygon,
Point,
Polygon,
)
import cudf
import cuspatial
def test_geobuffer_len(gs):
cugs = cuspatial.from_geopandas(gs)
... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/test_cudf_integration.py | # Copyright (c) 2022 NVIDIA CORPORATION.
import geopandas as gpd
import numpy as np
import pandas as pd
import cuspatial
def test_sort_index_series(gs):
gs.index = np.random.permutation(len(gs))
cugs = cuspatial.from_geopandas(gs)
expected = gs.sort_index()
got = cugs.sort_index().to_pandas()
gpd... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/conftest.py | # Copyright (c) 2020-2023, NVIDIA CORPORATION.
import geopandas as gpd
import numpy as np
import pandas as pd
import pytest
from shapely.affinity import rotate
from shapely.geometry import (
LineString,
MultiLineString,
MultiPoint,
MultiPolygon,
Point,
Polygon,
)
@pytest.fixture
def gs():
... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/test_geocolumn_accessor.py | # Copyright 2022 NVIDIA Corporation
import cupy as cp
import geopandas as gpd
import pytest
from shapely.geometry import (
LineString,
MultiLineString,
MultiPoint,
MultiPolygon,
Polygon,
)
import cuspatial
@pytest.mark.parametrize(
"range, expected",
[[slice(0, 3), [0, 3, 4, 5]], [slice(... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/test_align.py | # Copyright (c) 2022 NVIDIA CORPORATION.
import geopandas as gpd
import numpy as np
import pandas as pd
from shapely.geometry import Polygon
import cuspatial
def test_align_more_values():
gpdlhs = gpd.GeoSeries(
[
Polygon(((-8, -8), (-8, 8), (8, 8), (8, -8))),
Polygon(((-2, -2), ... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/test_trajectory.py | # Copyright (c) 2019-2020, NVIDIA CORPORATION.
import numpy as np
import pytest
from shapely.geometry import Point
import cudf
import cuspatial
def test_trajectory_bounding_boxes_empty_float32():
result = cuspatial.trajectory_bounding_boxes(
0,
cudf.Series(),
cuspatial.GeoSeries.from_po... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/test_geoseries.py | # Copyright (c) 2020-2021, NVIDIA CORPORATION.
from enum import Enum
from numbers import Integral
import cupy as cp
import geopandas as gpd
import numpy as np
import pandas as pd
import pytest
from geopandas.testing import assert_geoseries_equal
from shapely.affinity import rotate
from shapely.geometry import (
L... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/basicpreds/test_equals_count.py | from pandas.testing import assert_series_equal
from shapely.geometry import MultiPoint, Point
import cudf
import cuspatial
from cuspatial.core.binops.equals_count import pairwise_multipoint_equals_count
def test_pairwise_multipoint_equals_count_example_1():
p1 = cuspatial.GeoSeries([MultiPoint([Point(0, 0)])])
... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/basicpreds/test_contains_basic_predicate.py | # Copyright (c) 2023, NVIDIA CORPORATION.
from shapely.geometry import LineString, Point, Polygon
import cuspatial
from cuspatial.core.binpreds.basic_predicates import (
_basic_contains_any,
_basic_contains_count,
)
def test_basic_contains_any_outside():
lhs = cuspatial.GeoSeries([Polygon([(0, 0), (0, 1... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/basicpreds/test_equals_basic_predicate.py | import pandas as pd
from pandas.testing import assert_series_equal
from shapely.geometry import Point
import cuspatial
from cuspatial.core.binpreds.basic_predicates import _basic_equals_any
def test_single_true():
p1 = cuspatial.GeoSeries([Point(0, 0)])
p2 = cuspatial.GeoSeries([Point(0, 0)])
result = _b... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/basicpreds/test_intersects_basic_predicate.py | import pandas as pd
from pandas.testing import assert_series_equal
from shapely.geometry import LineString, Point, Polygon
import cuspatial
from cuspatial.core.binpreds.basic_predicates import _basic_intersects
def test_single_true():
p1 = cuspatial.GeoSeries([Point(0, 0)])
p2 = cuspatial.GeoSeries([Point(0,... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/basicpreds/test_intersections.py | import geopandas as gpd
import pandas as pd
from geopandas.testing import assert_geoseries_equal
from pandas.testing import assert_frame_equal, assert_series_equal
from shapely.geometry import LineString, MultiLineString, Point
import cuspatial
from cuspatial.core.binops.intersection import pairwise_linestring_interse... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/filtering/test_points_in_spatial_window.py | # Copyright (c) 2019-2023, NVIDIA CORPORATION.
import geopandas as gpd
import pytest
from geopandas.testing import assert_geoseries_equal
from shapely.geometry import Point
import cuspatial
def test_zeros():
result = cuspatial.points_in_spatial_window( # noqa: F841
cuspatial.GeoSeries([Point(0, 0)]), 0... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/projection/test_sinusoidal_projection.py | # Copyright (c) 2019-2023, NVIDIA CORPORATION.
import pytest
from geopandas.testing import assert_geoseries_equal
from shapely.geometry import Point
import cudf
import cuspatial
def test_camera_oob_0():
with pytest.raises(RuntimeError):
result = cuspatial.sinusoidal_projection( # noqa: F841
... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/nearest_points/test_nearest_points.py | import geopandas as gpd
import pytest
import shapely
from geopandas.testing import assert_geodataframe_equal
from shapely.geometry import LineString, MultiLineString, MultiPoint, Point
import cuspatial
def compute_point_linestring_nearest_point_host(gs1, gs2):
gpdf = gpd.GeoDataFrame({"lhs": gs1, "rhs": gs2})
... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/join/test_point_in_polygon.py | # Copyright (c) 2019, NVIDIA CORPORATION.
import numpy as np
import cudf
import cuspatial
from cuspatial.core.spatial.join import pip_bitmap_column_to_binary_array
def test_empty():
result = cuspatial.point_in_polygon(
cuspatial.GeoSeries([]), cuspatial.GeoSeries([])
)
cudf.testing.assert_frame... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/join/test_spatial_join.py | # Copyright (c) 2020-2022, NVIDIA CORPORATION.
import cupy as cp
import numpy as np
import pytest
import cudf
import cuspatial
bbox_1 = (0, 1, 0, 1)
bbox_2 = (0, 2, 0, 2)
small_poly_offsets = cudf.Series([0, 1, 2, 3, 4], dtype=np.uint32)
small_ring_offsets = cudf.Series([0, 4, 10, 14, 19], dtype=np.uint32)
small_... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/bounding/test_polygon_bounding_boxes.py | # Copyright (c) 2020-2023, NVIDIA CORPORATION.
import pytest
from shapely.geometry import MultiPolygon, Polygon
import cudf
import cuspatial
def test_polygon_bounding_boxes_empty():
s = cuspatial.GeoSeries([])
result = cuspatial.polygon_bounding_boxes(s)
cudf.testing.assert_frame_equal(
result,... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/bounding/test_linestring_bounding_boxes.py | # Copyright (c) 2020-2023, NVIDIA CORPORATION.
import numpy as np
import pytest
from shapely.geometry import MultiLineString
import cudf
import cuspatial
def test_linestring_bounding_boxes_empty():
result = cuspatial.linestring_bounding_boxes(
cuspatial.GeoSeries([]),
0, # expansion_radius
... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/distance/test_pairwise_linestring_distance.py | # Copyright (c) 2023, NVIDIA CORPORATION.
from shapely.geometry import LineString
import cudf
from cudf.testing._utils import assert_eq
import cuspatial
def test_zero_pair():
ls1 = cuspatial.GeoSeries([])
ls2 = cuspatial.GeoSeries([])
got = cuspatial.pairwise_linestring_distance(ls1, ls2)
expected... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/distance/test_pairwise_point_distance.py | # Copyright (c) 2023, NVIDIA CORPORATION.
import geopandas as gpd
import pytest
from pandas.testing import assert_series_equal
from shapely.geometry import LineString, Point
import cuspatial
def test_empty():
gs1 = cuspatial.GeoSeries([])
gs2 = cuspatial.GeoSeries([])
assert cuspatial.pairwise_point_dis... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/distance/test_pairwise_linestring_polygon_distance.py | # Copyright (c) 2023, NVIDIA CORPORATION.
import geopandas as gpd
import pytest
from shapely.geometry import LineString, MultiLineString, MultiPolygon, Polygon
import cudf
from cudf.testing import assert_series_equal
import cuspatial
def test_linestring_polygon_empty():
lhs = cuspatial.GeoSeries.from_linestrin... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/distance/test_pairwise_polygon_distance.py | # Copyright (c) 2023, NVIDIA CORPORATION.
import cupy as cp
import geopandas as gpd
import pytest
from shapely.geometry import MultiPolygon, Polygon
import cudf
from cudf.testing import assert_series_equal
import cuspatial
def test_polygon_empty():
lhs = cuspatial.GeoSeries.from_polygons_xy([], [0], [0], [0])
... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/distance/test_distance.py | from functools import partial
from itertools import product
import geopandas
import pytest
from shapely.geometry import (
LineString,
MultiLineString,
MultiPoint,
MultiPolygon,
Point,
Polygon,
)
import cudf
from cudf.testing import assert_series_equal
import cuspatial
geometry_types = set(
... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/distance/test_point_linestring_distance.py | import geopandas as gpd
import pytest
from shapely.geometry import (
LineString,
MultiLineString,
MultiPoint,
Point,
Polygon,
)
import cudf
from cuspatial import pairwise_point_linestring_distance
from cuspatial.io.geopandas import from_geopandas
@pytest.mark.parametrize(
"points, lines",
... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/distance/test_pairwise_point_polygon_distance.py | # Copyright (c) 2023, NVIDIA CORPORATION.
import geopandas as gpd
import pytest
from shapely.geometry import MultiPoint, MultiPolygon, Point, Polygon
import cudf
from cudf.testing import assert_series_equal
import cuspatial
def test_point_polygon_empty():
lhs = cuspatial.GeoSeries.from_points_xy([])
rhs = ... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/distance/test_hausdorff_distance.py | # Copyright (c) 2019-2023, NVIDIA CORPORATION.
from shapely.geometry import MultiPoint
import cudf
import cuspatial
def _test_hausdorff_from_list_of_spaces(spaces):
s = cuspatial.GeoSeries([MultiPoint(coords) for coords in spaces])
return cuspatial.directed_hausdorff_distance(s)
def test_empty():
actu... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/distance/test_haversine_distance.py | # Copyright (c) 2019-2023, NVIDIA CORPORATION.
import geopandas as gpd
import numpy as np
import pandas as pd
from shapely.geometry import Point
import cuspatial
def test_zeros():
distance = cuspatial.haversine_distance(
cuspatial.GeoSeries([Point(0, 0)]), cuspatial.GeoSeries([Point(0, 0)])
)
as... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/spatial/indexing/test_indexing.py | # Copyright (c) 2020-2023, NVIDIA CORPORATION.
import numpy as np
import pytest
from shapely.geometry import Point
import cudf
import cuspatial
bbox_1 = (0, 1, 0, 1)
bbox_2 = (0, 2, 0, 2)
def test_empty():
# empty should not throw
order, quadtree = cuspatial.quadtree_on_points(
cuspatial.GeoSeries(... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/binpreds/test_equals_only_binpreds.py | # Copyright (c) 2020-2023, NVIDIA CORPORATION
import geopandas as gpd
import pandas as pd
import pytest
from shapely.geometry import LineString, MultiPoint, Point, Polygon
import cuspatial
def test_point_geom_equals_point():
gpdpoint1 = gpd.GeoSeries([Point(0, 0)])
gpdpoint2 = gpd.GeoSeries([Point(0, 0)])
... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/binpreds/test_binpred_test_dispatch.py | # Copyright (c) 2023, NVIDIA CORPORATION.
import os
import pandas as pd
from binpred_test_dispatch import predicate, simple_test # noqa: F401
# In the below file, all failing tests are recorded with visualizations.
LOG_DISPATCHED_PREDICATES = os.environ.get("LOG_DISPATCHED_PREDICATES", False)
if LOG_DISPATCHED_PRED... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/binpreds/test_intersects_only_binpreds.py | # Copyright (c) 2020-2023, NVIDIA CORPORATION
import pandas as pd
import pytest
from shapely.geometry import (
LineString,
MultiLineString,
MultiPoint,
MultiPolygon,
Point,
Polygon,
)
import cuspatial
def test_point_intersects_point():
g1 = cuspatial.GeoSeries([Point(0.0, 0.0)])
g2 =... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/binpreds/test_contains_properly.py | # Copyright (c) 2023, NVIDIA CORPORATION
import cupy as cp
import geopandas as gpd
import numpy as np
import pytest
from shapely.geometry import LineString, MultiPolygon, Point, Polygon
import cuspatial
def test_manual_polygons():
gpdlhs = gpd.GeoSeries([Polygon(((-8, -8), (-8, 8), (8, 8), (8, -8)))] * 6)
g... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/binpreds/test_pip_only_binpreds.py | from shapely.geometry import LineString, Point, Polygon
import cuspatial
"""Overlaps, Within, and Intersects"""
def _test(lhs, rhs, predicate):
gpdlhs = lhs.to_geopandas()
gpdrhs = rhs.to_geopandas()
got = getattr(lhs, predicate)(rhs).values_host
expected = getattr(gpdlhs, predicate)(gpdrhs).values
... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/binpreds/binpred_test_dispatch.py | # Copyright (c) 2023, NVIDIA CORPORATION.
import pytest
from shapely.geometry import LineString, Point, Polygon
import cuspatial
from cuspatial.testing.test_geometries import ( # noqa: F401
features,
linestring_linestring_dispatch_list,
linestring_polygon_dispatch_list,
point_linestring_dispatch_list... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/binpreds/test_binpred_internals.py | # Copyright (c) 2020-2023, NVIDIA CORPORATION
import pandas as pd
from shapely.geometry import LineString, MultiPoint, Point, Polygon
import cudf
import cuspatial
from cuspatial.core.binpreds.binpred_dispatch import EQUALS_DISPATCH
from cuspatial.utils.binpred_utils import (
_open_polygon_rings,
_pli_lines_t... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/binpreds/test_binpred_cartesian_dispatch_list.py | # Copyright (c) 2023, NVIDIA CORPORATION.
import geopandas
import numpy as np
from binpred_test_dispatch import predicate # noqa: F401
import cuspatial
from cuspatial.testing.test_geometries import (
features,
linestring_linestring_dispatch_list,
linestring_polygon_dispatch_list,
point_linestring_dis... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/binpreds/summarize_binpred_test_dispatch_results.py | # Copyright (c) 2023, NVIDIA CORPORATION.
"""Prints a summary of the results of the binary predicate test dispatch.
"""
import pandas as pd
pp = pd.read_csv("predicate_passes.csv")
pf = pd.read_csv("predicate_fails.csv")
fp = pd.read_csv("feature_passes.csv")
ff = pd.read_csv("feature_fails.csv")
print(pp)
print(pf... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/binpreds/test_contains.py | # Copyright (c) 2023, NVIDIA CORPORATION
import geopandas as gpd
import pandas as pd
import pytest
from shapely.geometry import MultiPolygon, Polygon
import cuspatial
def test_manual_polygons():
gpdlhs = gpd.GeoSeries([Polygon(((-8, -8), (-8, 8), (8, 8), (8, -8)))] * 6)
gpdrhs = gpd.GeoSeries(
[
... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/tests/binpreds/test_binpred_each_dispatch_list.py | # Copyright (c) 2023, NVIDIA CORPORATION.
import geopandas
from binpred_test_dispatch import predicate # noqa: F401
import cuspatial
from cuspatial.testing.test_geometries import (
features,
linestring_linestring_dispatch_list,
linestring_polygon_dispatch_list,
point_linestring_dispatch_list,
poi... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/testing/test_geometries.py | # Copyright (c) 2023, NVIDIA CORPORATION.
from shapely.geometry import LineString, Point, Polygon
"""The fundamental set of tests. This section is dispatched based
on the feature type. Each feature pairing has a specific set of
comparisons that need to be performed to cover the entire test
space. This section contains... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/core/trajectory.py | # Copyright (c) 2019-2022, NVIDIA CORPORATION.
import numpy as np
from cudf import DataFrame, Series
from cudf.core.column import as_column
from cuspatial import GeoSeries
from cuspatial._lib.trajectory import (
derive_trajectories as cpp_derive_trajectories,
trajectory_bounding_boxes as cpp_trajectory_bound... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/core/geoseries.py | # Copyright (c) 2020-2023, NVIDIA CORPORATION
from functools import cached_property
from numbers import Integral
from typing import Optional, Tuple, TypeVar, Union
import cupy as cp
import geopandas as gpd
import numpy as np
import pandas as pd
import pyarrow as pa
from geopandas.geoseries import GeoSeries as gpGeoSe... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/core/geodataframe.py | # Copyright (c) 2020-2022, NVIDIA CORPORATION
from typing import Dict, Tuple, TypeVar, Union
import pandas as pd
from geopandas import GeoDataFrame as gpGeoDataFrame
from geopandas.geoseries import is_geometry_type as gp_is_geometry_type
import cudf
from cudf.core.copy_types import BooleanMask, GatherMap
from cuspat... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/core/dtypes.py | # Copyright (c) 2023, NVIDIA CORPORATION.
from cudf.core.dtypes import ListDtype
def point_dtype(base_dtype):
return ListDtype(base_dtype)
def multipoint_dtype(base_dtype):
return ListDtype(ListDtype(base_dtype))
def linestring_dtype(base_dtype):
return ListDtype(ListDtype(ListDtype(base_dtype)))
d... | 0 |
rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/core | rapidsai_public_repos/cuspatial/python/cuspatial/cuspatial/core/spatial/projection.py | # Copyright (c) 2022, NVIDIA CORPORATION.
from cudf import DataFrame
from cuspatial._lib.spatial import (
sinusoidal_projection as cpp_sinusoidal_projection,
)
from cuspatial.core.geoseries import GeoSeries
from cuspatial.utils.column_utils import (
contain_single_type_geometry,
contains_only_multipoints,... | 0 |
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