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vinsblack
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The_Stack_Processed-v2

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#cython: language_level=3\n\n"""\nFunctions in this module give python-space wrappers for cython functions\nexposed in numpy/__init__.pxd, so they can be tested in test_cython.py\n"""\ncimport numpy as cnp\ncnp.import_array()\n\n\ndef is_td64(obj):\n return cnp.is_timedelta64_object(obj)\n\n\ndef is_dt64(obj):\n return cnp.is_datetime64_object(obj)\n\n\ndef get_dt64_value(obj):\n return cnp.get_datetime64_value(obj)\n\n\ndef get_td64_value(obj):\n return cnp.get_timedelta64_value(obj)\n\n\ndef get_dt64_unit(obj):\n return cnp.get_datetime64_unit(obj)\n\n\ndef is_integer(obj):\n return isinstance(obj, (cnp.integer, int))\n\n\ndef get_datetime_iso_8601_strlen():\n return cnp.get_datetime_iso_8601_strlen(0, cnp.NPY_FR_ns)\n\n\ndef convert_datetime64_to_datetimestruct():\n cdef:\n cnp.npy_datetimestruct dts\n cnp.PyArray_DatetimeMetaData meta\n cnp.int64_t value = 1647374515260292\n # i.e. (time.time() * 10**6) at 2022-03-15 20:01:55.260292 UTC\n\n meta.base = cnp.NPY_FR_us\n meta.num = 1\n cnp.convert_datetime64_to_datetimestruct(&meta, value, &dts)\n return dts\n\n\ndef make_iso_8601_datetime(dt: "datetime"):\n cdef:\n cnp.npy_datetimestruct dts\n char result[36] # 36 corresponds to NPY_FR_s passed below\n int local = 0\n int utc = 0\n int tzoffset = 0\n\n dts.year = dt.year\n dts.month = dt.month\n dts.day = dt.day\n dts.hour = dt.hour\n dts.min = dt.minute\n dts.sec = dt.second\n dts.us = dt.microsecond\n dts.ps = dts.as = 0\n\n cnp.make_iso_8601_datetime(\n &dts,\n result,\n sizeof(result),\n local,\n utc,\n cnp.NPY_FR_s,\n tzoffset,\n cnp.NPY_NO_CASTING,\n )\n return result\n\n\ncdef cnp.broadcast multiiter_from_broadcast_obj(object bcast):\n cdef dict iter_map = {\n 1: cnp.PyArray_MultiIterNew1,\n 2: cnp.PyArray_MultiIterNew2,\n 3: cnp.PyArray_MultiIterNew3,\n 4: cnp.PyArray_MultiIterNew4,\n 5: cnp.PyArray_MultiIterNew5,\n }\n arrays = [x.base for x in bcast.iters]\n cdef cnp.broadcast result = iter_map[len(arrays)](*arrays)\n return result\n\n\ndef get_multiiter_size(bcast: "broadcast"):\n cdef cnp.broadcast multi = multiiter_from_broadcast_obj(bcast)\n return multi.size\n\n\ndef get_multiiter_number_of_dims(bcast: "broadcast"):\n cdef cnp.broadcast multi = multiiter_from_broadcast_obj(bcast)\n return multi.nd\n\n\ndef get_multiiter_current_index(bcast: "broadcast"):\n cdef cnp.broadcast multi = multiiter_from_broadcast_obj(bcast)\n return multi.index\n\n\ndef get_multiiter_num_of_iterators(bcast: "broadcast"):\n cdef cnp.broadcast multi = multiiter_from_broadcast_obj(bcast)\n return multi.numiter\n\n\ndef get_multiiter_shape(bcast: "broadcast"):\n cdef cnp.broadcast multi = multiiter_from_broadcast_obj(bcast)\n return tuple([multi.dimensions[i] for i in range(bcast.nd)])\n\n\ndef get_multiiter_iters(bcast: "broadcast"):\n cdef cnp.broadcast multi = multiiter_from_broadcast_obj(bcast)\n return tuple([<cnp.flatiter>multi.iters[i] for i in range(bcast.numiter)])\n\n\ndef get_default_integer():\n if cnp.NPY_DEFAULT_INT == cnp.NPY_LONG:\n return cnp.dtype("long")\n if cnp.NPY_DEFAULT_INT == cnp.NPY_INTP:\n return cnp.dtype("intp")\n return None\n\ndef get_ravel_axis():\n return cnp.NPY_RAVEL_AXIS\n\n\ndef conv_intp(cnp.intp_t val):\n return val\n\n\ndef get_dtype_flags(cnp.dtype dtype):\n return dtype.flags\n\n\ncdef cnp.NpyIter* npyiter_from_nditer_obj(object it):\n """A function to create a NpyIter struct from a nditer object.\n\n This function is only meant for testing purposes and only extracts the\n necessary info from nditer to test the functionality of NpyIter methods\n """\n cdef:\n cnp.NpyIter* cit\n cnp.PyArray_Descr* op_dtypes[3]\n cnp.npy_uint32 op_flags[3]\n cnp.PyArrayObject* ops[3]\n cnp.npy_uint32 flags = 0\n\n if it.has_index:\n flags |= cnp.NPY_ITER_C_INDEX\n if it.has_delayed_bufalloc:\n flags |= cnp.NPY_ITER_BUFFERED | cnp.NPY_ITER_DELAY_BUFALLOC\n if it.has_multi_index:\n flags |= cnp.NPY_ITER_MULTI_INDEX\n\n # one of READWRITE, READONLY and WRTIEONLY at the minimum must be specified for op_flags\n for i in range(it.nop):\n op_flags[i] = cnp.NPY_ITER_READONLY\n\n for i in range(it.nop):\n op_dtypes[i] = cnp.PyArray_DESCR(it.operands[i])\n ops[i] = <cnp.PyArrayObject*>it.operands[i]\n\n cit = cnp.NpyIter_MultiNew(it.nop, &ops[0], flags, cnp.NPY_KEEPORDER,\n cnp.NPY_NO_CASTING, &op_flags[0],\n <cnp.PyArray_Descr**>NULL)\n return cit\n\n\ndef get_npyiter_size(it: "nditer"):\n cdef cnp.NpyIter* cit = npyiter_from_nditer_obj(it)\n result = cnp.NpyIter_GetIterSize(cit)\n cnp.NpyIter_Deallocate(cit)\n return result\n\n\ndef get_npyiter_ndim(it: "nditer"):\n cdef cnp.NpyIter* cit = npyiter_from_nditer_obj(it)\n result = cnp.NpyIter_GetNDim(cit)\n cnp.NpyIter_Deallocate(cit)\n return result\n\n\ndef get_npyiter_nop(it: "nditer"):\n cdef cnp.NpyIter* cit = npyiter_from_nditer_obj(it)\n result = cnp.NpyIter_GetNOp(cit)\n cnp.NpyIter_Deallocate(cit)\n return result\n\n\ndef get_npyiter_operands(it: "nditer"):\n cdef cnp.NpyIter* cit = npyiter_from_nditer_obj(it)\n try:\n arr = cnp.NpyIter_GetOperandArray(cit)\n return tuple([<cnp.ndarray>arr[i] for i in range(it.nop)])\n finally:\n cnp.NpyIter_Deallocate(cit)\n\n\ndef get_npyiter_itviews(it: "nditer"):\n cdef cnp.NpyIter* cit = npyiter_from_nditer_obj(it)\n result = tuple([cnp.NpyIter_GetIterView(cit, i) for i in range(it.nop)])\n cnp.NpyIter_Deallocate(cit)\n return result\n\n\ndef get_npyiter_dtypes(it: "nditer"):\n cdef cnp.NpyIter* cit = npyiter_from_nditer_obj(it)\n try:\n arr = cnp.NpyIter_GetDescrArray(cit)\n return tuple([<cnp.dtype>arr[i] for i in range(it.nop)])\n finally:\n cnp.NpyIter_Deallocate(cit)\n\n\ndef npyiter_has_delayed_bufalloc(it: "nditer"):\n cdef cnp.NpyIter* cit = npyiter_from_nditer_obj(it)\n result = cnp.NpyIter_HasDelayedBufAlloc(cit)\n cnp.NpyIter_Deallocate(cit)\n return result\n\n\ndef npyiter_has_index(it: "nditer"):\n cdef cnp.NpyIter* cit = npyiter_from_nditer_obj(it)\n result = cnp.NpyIter_HasIndex(cit)\n cnp.NpyIter_Deallocate(cit)\n return result\n\n\ndef npyiter_has_multi_index(it: "nditer"):\n cdef cnp.NpyIter* cit = npyiter_from_nditer_obj(it)\n result = cnp.NpyIter_HasMultiIndex(cit)\n cnp.NpyIter_Deallocate(cit)\n return result\n\n\ndef test_get_multi_index_iter_next(it: "nditer", cnp.ndarray[cnp.float64_t, ndim=2] arr):\n cdef cnp.NpyIter* cit = npyiter_from_nditer_obj(it)\n cdef cnp.NpyIter_GetMultiIndexFunc get_multi_index = \\n cnp.NpyIter_GetGetMultiIndex(cit, NULL)\n cdef cnp.NpyIter_IterNextFunc iternext = \\n cnp.NpyIter_GetIterNext(cit, NULL)\n return 1\n\n\ndef npyiter_has_finished(it: "nditer"):\n cdef cnp.NpyIter* cit\n try:\n cit = npyiter_from_nditer_obj(it)\n cnp.NpyIter_GotoIterIndex(cit, it.index)\n return not (cnp.NpyIter_GetIterIndex(cit) < cnp.NpyIter_GetIterSize(cit))\n finally:\n cnp.NpyIter_Deallocate(cit)\n\ndef compile_fillwithbyte():\n # Regression test for gh-25878, mostly checks it compiles.\n cdef cnp.npy_intp dims[2]\n dims = (1, 2)\n pos = cnp.PyArray_ZEROS(2, dims, cnp.NPY_UINT8, 0)\n cnp.PyArray_FILLWBYTE(pos, 1)\n return pos\n\ndef inc2_cfloat_struct(cnp.ndarray[cnp.cfloat_t] arr):\n # This works since we compile in C mode, it will fail in cpp mode\n arr[1].real += 1\n arr[1].imag += 1\n # This works in both modes\n arr[1].real = arr[1].real + 1\n arr[1].imag = arr[1].imag + 1\n\n\ndef npystring_pack(arr):\n cdef char *string = "Hello world"\n cdef size_t size = 11\n\n allocator = cnp.NpyString_acquire_allocator(\n <cnp.PyArray_StringDTypeObject *>cnp.PyArray_DESCR(arr)\n )\n\n # copy string->packed_string, the pointer to the underlying array buffer\n ret = cnp.NpyString_pack(\n allocator, <cnp.npy_packed_static_string *>cnp.PyArray_DATA(arr), string, size,\n )\n\n cnp.NpyString_release_allocator(allocator)\n return ret\n\n\ndef npystring_load(arr):\n allocator = cnp.NpyString_acquire_allocator(\n <cnp.PyArray_StringDTypeObject *>cnp.PyArray_DESCR(arr)\n )\n\n cdef cnp.npy_static_string sdata\n sdata.size = 0\n sdata.buf = NULL\n\n cdef cnp.npy_packed_static_string *packed_string = <cnp.npy_packed_static_string *>cnp.PyArray_DATA(arr)\n cdef int is_null = cnp.NpyString_load(allocator, packed_string, &sdata)\n cnp.NpyString_release_allocator(allocator)\n if is_null == -1:\n raise ValueError("String unpacking failed.")\n elif is_null == 1:\n # String in the array buffer is the null string\n return ""\n else:\n # Cython syntax for copying a c string to python bytestring:\n # slice the char * by the length of the string\n return sdata.buf[:sdata.size].decode('utf-8')\n\n\ndef npystring_pack_multiple(arr1, arr2):\n cdef cnp.npy_string_allocator *allocators[2]\n cdef cnp.PyArray_Descr *descrs[2]\n descrs[0] = cnp.PyArray_DESCR(arr1)\n descrs[1] = cnp.PyArray_DESCR(arr2)\n\n cnp.NpyString_acquire_allocators(2, descrs, allocators)\n\n # Write into the first element of each array\n cdef int ret1 = cnp.NpyString_pack(\n allocators[0], <cnp.npy_packed_static_string *>cnp.PyArray_DATA(arr1), "Hello world", 11,\n )\n cdef int ret2 = cnp.NpyString_pack(\n allocators[1], <cnp.npy_packed_static_string *>cnp.PyArray_DATA(arr2), "test this", 9,\n )\n\n # Write a null string into the last element\n cdef cnp.npy_intp elsize = cnp.PyArray_ITEMSIZE(arr1)\n cdef int ret3 = cnp.NpyString_pack_null(\n allocators[0],\n <cnp.npy_packed_static_string *>(<char *>cnp.PyArray_DATA(arr1) + 2*elsize),\n )\n\n cnp.NpyString_release_allocators(2, allocators)\n if ret1 == -1 or ret2 == -1 or ret3 == -1:\n return -1\n\n return 0\n\n\ndef npystring_allocators_other_types(arr1, arr2):\n cdef cnp.npy_string_allocator *allocators[2]\n cdef cnp.PyArray_Descr *descrs[2]\n descrs[0] = cnp.PyArray_DESCR(arr1)\n descrs[1] = cnp.PyArray_DESCR(arr2)\n\n cnp.NpyString_acquire_allocators(2, descrs, allocators)\n\n # None of the dtypes here are StringDType, so every allocator\n # should be NULL upon acquisition.\n cdef int ret = 0\n for allocator in allocators:\n if allocator != NULL:\n ret = -1\n break\n\n cnp.NpyString_release_allocators(2, allocators)\n return ret\n\n\ndef check_npy_uintp_type_enum():\n # Regression test for gh-27890: cnp.NPY_UINTP was not defined.\n # Cython would fail to compile this before gh-27890 was fixed.\n return cnp.NPY_UINTP > 0\n
.venv\Lib\site-packages\numpy\_core\tests\examples\cython\checks.pyx
checks.pyx
Other
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project('checks', 'c', 'cython')\n\npy = import('python').find_installation(pure: false)\n\ncc = meson.get_compiler('c')\ncy = meson.get_compiler('cython')\n\n# Keep synced with pyproject.toml\nif not cy.version().version_compare('>=3.0.6')\n error('tests requires Cython >= 3.0.6')\nendif\n\ncython_args = []\nif cy.version().version_compare('>=3.1.0')\n cython_args += ['-Xfreethreading_compatible=True']\nendif\n\nnpy_include_path = run_command(py, [\n '-c',\n 'import os; os.chdir(".."); import numpy; print(os.path.abspath(numpy.get_include()))'\n ], check: true).stdout().strip()\n\nnpy_path = run_command(py, [\n '-c',\n 'import os; os.chdir(".."); import numpy; print(os.path.dirname(numpy.__file__).removesuffix("numpy"))'\n ], check: true).stdout().strip()\n\n# TODO: This is a hack due to gh-25135, where cython may not find the right\n# __init__.pyd file.\nadd_project_arguments('-I', npy_path, language : 'cython')\n\npy.extension_module(\n 'checks',\n 'checks.pyx',\n install: false,\n c_args: [\n '-DNPY_NO_DEPRECATED_API=0', # Cython still uses old NumPy C API\n # Require 1.25+ to test datetime additions\n '-DNPY_TARGET_VERSION=NPY_2_0_API_VERSION',\n ],\n include_directories: [npy_include_path],\n cython_args: cython_args,\n)\n
.venv\Lib\site-packages\numpy\_core\tests\examples\cython\meson.build
meson.build
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"""\nProvide python-space access to the functions exposed in numpy/__init__.pxd\nfor testing.\n"""\n\nimport os\nfrom distutils.core import setup\n\nimport Cython\nfrom Cython.Build import cythonize\nfrom setuptools.extension import Extension\n\nimport numpy as np\nfrom numpy._utils import _pep440\n\nmacros = [\n ("NPY_NO_DEPRECATED_API", 0),\n # Require 1.25+ to test datetime additions\n ("NPY_TARGET_VERSION", "NPY_2_0_API_VERSION"),\n]\n\nchecks = Extension(\n "checks",\n sources=[os.path.join('.', "checks.pyx")],\n include_dirs=[np.get_include()],\n define_macros=macros,\n)\n\nextensions = [checks]\n\ncompiler_directives = {}\nif _pep440.parse(Cython.__version__) >= _pep440.parse("3.1.0a0"):\n compiler_directives['freethreading_compatible'] = True\n\nsetup(\n ext_modules=cythonize(\n extensions,\n compiler_directives=compiler_directives)\n)\n
.venv\Lib\site-packages\numpy\_core\tests\examples\cython\setup.py
setup.py
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\n\n
.venv\Lib\site-packages\numpy\_core\tests\examples\cython\__pycache__\setup.cpython-313.pyc
setup.cpython-313.pyc
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#define Py_LIMITED_API 0x03060000\n\n#include <Python.h>\n#include <numpy/arrayobject.h>\n#include <numpy/ufuncobject.h>\n\nstatic PyModuleDef moduledef = {\n .m_base = PyModuleDef_HEAD_INIT,\n .m_name = "limited_api1"\n};\n\nPyMODINIT_FUNC PyInit_limited_api1(void)\n{\n import_array();\n import_umath();\n return PyModule_Create(&moduledef);\n}\n
.venv\Lib\site-packages\numpy\_core\tests\examples\limited_api\limited_api1.c
limited_api1.c
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#cython: language_level=3\n\n"""\nMake sure cython can compile in limited API mode (see meson.build)\n"""\n\ncdef extern from "numpy/arrayobject.h":\n pass\ncdef extern from "numpy/arrayscalars.h":\n pass\n\n
.venv\Lib\site-packages\numpy\_core\tests\examples\limited_api\limited_api2.pyx
limited_api2.pyx
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#if Py_LIMITED_API != PY_VERSION_HEX & 0xffff0000\n # error "Py_LIMITED_API not defined to Python major+minor version"\n#endif\n\n#include <Python.h>\n#include <numpy/arrayobject.h>\n#include <numpy/ufuncobject.h>\n\nstatic PyModuleDef moduledef = {\n .m_base = PyModuleDef_HEAD_INIT,\n .m_name = "limited_api_latest"\n};\n\nPyMODINIT_FUNC PyInit_limited_api_latest(void)\n{\n import_array();\n import_umath();\n return PyModule_Create(&moduledef);\n}\n
.venv\Lib\site-packages\numpy\_core\tests\examples\limited_api\limited_api_latest.c
limited_api_latest.c
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project('checks', 'c', 'cython')\n\npy = import('python').find_installation(pure: false)\n\ncc = meson.get_compiler('c')\ncy = meson.get_compiler('cython')\n\n# Keep synced with pyproject.toml\nif not cy.version().version_compare('>=3.0.6')\n error('tests requires Cython >= 3.0.6')\nendif\n\nnpy_include_path = run_command(py, [\n '-c',\n 'import os; os.chdir(".."); import numpy; print(os.path.abspath(numpy.get_include()))'\n ], check: true).stdout().strip()\n\nnpy_path = run_command(py, [\n '-c',\n 'import os; os.chdir(".."); import numpy; print(os.path.dirname(numpy.__file__).removesuffix("numpy"))'\n ], check: true).stdout().strip()\n\n# TODO: This is a hack due to https://github.com/cython/cython/issues/5820,\n# where cython may not find the right __init__.pyd file.\nadd_project_arguments('-I', npy_path, language : 'cython')\n\npy.extension_module(\n 'limited_api1',\n 'limited_api1.c',\n c_args: [\n '-DNPY_NO_DEPRECATED_API=NPY_1_21_API_VERSION',\n ],\n include_directories: [npy_include_path],\n limited_api: '3.6',\n)\n\npy.extension_module(\n 'limited_api_latest',\n 'limited_api_latest.c',\n c_args: [\n '-DNPY_NO_DEPRECATED_API=NPY_1_21_API_VERSION',\n ],\n include_directories: [npy_include_path],\n limited_api: py.language_version(),\n)\n\npy.extension_module(\n 'limited_api2',\n 'limited_api2.pyx',\n install: false,\n c_args: [\n '-DNPY_NO_DEPRECATED_API=0',\n # Require 1.25+ to test datetime additions\n '-DNPY_TARGET_VERSION=NPY_2_0_API_VERSION',\n '-DCYTHON_LIMITED_API=1',\n ],\n include_directories: [npy_include_path],\n limited_api: '3.7',\n)\n
.venv\Lib\site-packages\numpy\_core\tests\examples\limited_api\meson.build
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"""\nBuild an example package using the limited Python C API.\n"""\n\nimport os\n\nfrom setuptools import Extension, setup\n\nimport numpy as np\n\nmacros = [("NPY_NO_DEPRECATED_API", 0), ("Py_LIMITED_API", "0x03060000")]\n\nlimited_api = Extension(\n "limited_api",\n sources=[os.path.join('.', "limited_api.c")],\n include_dirs=[np.get_include()],\n define_macros=macros,\n)\n\nextensions = [limited_api]\n\nsetup(\n ext_modules=extensions\n)\n
.venv\Lib\site-packages\numpy\_core\tests\examples\limited_api\setup.py
setup.py
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\n\n
.venv\Lib\site-packages\numpy\_core\tests\examples\limited_api\__pycache__\setup.cpython-313.pyc
setup.cpython-313.pyc
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\n\n
.venv\Lib\site-packages\numpy\_core\tests\__pycache__\test_abc.cpython-313.pyc
test_abc.cpython-313.pyc
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\n\n
.venv\Lib\site-packages\numpy\_core\tests\__pycache__\test_api.cpython-313.pyc
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\n\n
.venv\Lib\site-packages\numpy\_core\tests\__pycache__\test_argparse.cpython-313.pyc
test_argparse.cpython-313.pyc
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\n\n
.venv\Lib\site-packages\numpy\_core\tests\__pycache__\test_arraymethod.cpython-313.pyc
test_arraymethod.cpython-313.pyc
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\n\n
.venv\Lib\site-packages\numpy\_core\tests\__pycache__\test_arrayobject.cpython-313.pyc
test_arrayobject.cpython-313.pyc
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memmap.cpython-313.pyc
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2024-06-23T06:06:34.937356
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\n\n
.venv\Lib\site-packages\numpy\_core\__pycache__\strings.cpython-313.pyc
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\n\n
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2024-02-03T00:24:25.640315
BSD-3-Clause
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49a4166ad2aadb70e89906fe9d4ffdb6
\n\n
.venv\Lib\site-packages\numpy\_core\__pycache__\_machar.cpython-313.pyc
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2023-08-19T19:26:05.710546
GPL-3.0
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\n\n
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2024-12-04T17:12:15.126589
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\n\n
.venv\Lib\site-packages\numpy\_core\__pycache__\_string_helpers.cpython-313.pyc
_string_helpers.cpython-313.pyc
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2025-05-15T21:03:54.681690
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\n\n
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151a63d1310d06a9854df5448542aee1
\n\n
.venv\Lib\site-packages\numpy\_core\__pycache__\_ufunc_config.cpython-313.pyc
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2024-09-09T08:25:27.754779
BSD-3-Clause
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0e4e11ee02eeacdc834e286c8207860e
\n\n
.venv\Lib\site-packages\numpy\_core\__pycache__\__init__.cpython-313.pyc
__init__.cpython-313.pyc
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react-lib
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2023-10-01T00:09:40.432897
GPL-3.0
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ab24c2a608aa6fe8c181b86e2a9087fa
"""This hook should collect all binary files and any hidden modules that numpy\nneeds.\n\nOur (some-what inadequate) docs for writing PyInstaller hooks are kept here:\nhttps://pyinstaller.readthedocs.io/en/stable/hooks.html\n\n"""\nfrom PyInstaller.compat import is_pure_conda\nfrom PyInstaller.utils.hooks import collect_dynamic_libs\n\n# Collect all DLLs inside numpy's installation folder, dump them into built\n# app's root.\nbinaries = collect_dynamic_libs("numpy", ".")\n\n# If using Conda without any non-conda virtual environment manager:\nif is_pure_conda:\n # Assume running the NumPy from Conda-forge and collect it's DLLs from the\n # communal Conda bin directory. DLLs from NumPy's dependencies must also be\n # collected to capture MKL, OpenBlas, OpenMP, etc.\n from PyInstaller.utils.hooks import conda_support\n datas = conda_support.collect_dynamic_libs("numpy", dependencies=True)\n\n# Submodules PyInstaller cannot detect. `_dtype_ctypes` is only imported\n# from C and `_multiarray_tests` is used in tests (which are not packed).\nhiddenimports = ['numpy._core._dtype_ctypes', 'numpy._core._multiarray_tests']\n\n# Remove testing and building code and packages that are referenced throughout\n# NumPy but are not really dependencies.\nexcludedimports = [\n "scipy",\n "pytest",\n "f2py",\n "setuptools",\n "distutils",\n "numpy.distutils",\n]\n
.venv\Lib\site-packages\numpy\_pyinstaller\hook-numpy.py
hook-numpy.py
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vue-tools
834
2025-05-30T12:54:00.695994
MIT
false
071baa1eb7c91d6b080f7cd987ccf738
from typing import Final\n\n# from `PyInstaller.compat`\nis_conda: Final[bool]\nis_pure_conda: Final[bool]\n\n# from `PyInstaller.utils.hooks`\ndef is_module_satisfies(requirements: str, version: None = None, version_attr: None = None) -> bool: ...\n\nbinaries: Final[list[tuple[str, str]]]\n\nhiddenimports: Final[list[str]]\nexcludedimports: Final[list[str]]\n
.venv\Lib\site-packages\numpy\_pyinstaller\hook-numpy.pyi
hook-numpy.pyi
Other
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vue-tools
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2023-08-12T16:06:40.129058
BSD-3-Clause
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37d5f58cd9066444169646225d76cb4d
"""A crude *bit of everything* smoke test to verify PyInstaller compatibility.\n\nPyInstaller typically goes wrong by forgetting to package modules, extension\nmodules or shared libraries. This script should aim to touch as many of those\nas possible in an attempt to trip a ModuleNotFoundError or a DLL load failure\ndue to an uncollected resource. Missing resources are unlikely to lead to\narithmetic errors so there's generally no need to verify any calculation's\noutput - merely that it made it to the end OK. This script should not\nexplicitly import any of numpy's submodules as that gives PyInstaller undue\nhints that those submodules exist and should be collected (accessing implicitly\nloaded submodules is OK).\n\n"""\nimport numpy as np\n\na = np.arange(1., 10.).reshape((3, 3)) % 5\nnp.linalg.det(a)\na @ a\na @ a.T\nnp.linalg.inv(a)\nnp.sin(np.exp(a))\nnp.linalg.svd(a)\nnp.linalg.eigh(a)\n\nnp.unique(np.random.randint(0, 10, 100))\nnp.sort(np.random.uniform(0, 10, 100))\n\nnp.fft.fft(np.exp(2j * np.pi * np.arange(8) / 8))\nnp.ma.masked_array(np.arange(10), np.random.rand(10) < .5).sum()\nnp.polynomial.Legendre([7, 8, 9]).roots()\n\nprint("I made it!")\n
.venv\Lib\site-packages\numpy\_pyinstaller\tests\pyinstaller-smoke.py
pyinstaller-smoke.py
Python
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node-utils
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2023-08-16T03:33:25.995177
MIT
true
a3f669ddbb9af32a30f63e0957915b42