library packages
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204
.venv/lib/python3.12/site-packages/pyproj/_datadir.pyx
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204
.venv/lib/python3.12/site-packages/pyproj/_datadir.pyx
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import logging
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import os
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import warnings
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from libc.stdlib cimport free, malloc
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from pyproj._compat cimport cstrencode
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from pyproj.utils import strtobool
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# for logging the internal PROJ messages
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# https://docs.python.org/3/howto/logging.html#configuring-logging-for-a-library
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_LOGGER = logging.getLogger("pyproj")
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_LOGGER.addHandler(logging.NullHandler())
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# default to False is the safest mode
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# as it supports multithreading
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_USE_GLOBAL_CONTEXT = strtobool(os.environ.get("PYPROJ_GLOBAL_CONTEXT", "OFF"))
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# static user data directory to prevent core dumping
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# see: https://github.com/pyproj4/pyproj/issues/678
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cdef const char* _USER_DATA_DIR = proj_context_get_user_writable_directory(NULL, False)
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# Store the message from any internal PROJ errors
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cdef str _INTERNAL_PROJ_ERROR = None
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def set_use_global_context(active=None):
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"""
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.. versionadded:: 3.0.0
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Activates the usage of the global context. Using this
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option can enhance the performance of initializing objects
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in single-threaded applications.
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.. warning:: The global context is not thread safe.
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.. warning:: The global context maintains a connection to the database
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through the duration of each python session and is closed
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once the program terminates.
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.. note:: To modify network settings see: :ref:`network`.
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Parameters
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----------
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active: bool, optional
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If True, it activates the use of the global context. If False,
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the use of the global context is deactivated. If None, it uses
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the environment variable PYPROJ_GLOBAL_CONTEXT and defaults
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to False if it is not found.
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"""
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global _USE_GLOBAL_CONTEXT
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if active is None:
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active = strtobool(os.environ.get("PYPROJ_GLOBAL_CONTEXT", "OFF"))
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_USE_GLOBAL_CONTEXT = bool(active)
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def get_user_data_dir(create=False):
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"""
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.. versionadded:: 3.0.0
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Get the PROJ user writable directory for datumgrid files.
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See: :c:func:`proj_context_get_user_writable_directory`
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This is where grids will be downloaded when
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:ref:`PROJ network <network>` capabilities
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are enabled. It is also the default download location for the
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:ref:`projsync` command line program.
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Parameters
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----------
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create: bool, default=False
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If True, it will create the directory if it does not already exist.
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Returns
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-------
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str:
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The user writable data directory.
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"""
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return proj_context_get_user_writable_directory(
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PYPROJ_GLOBAL_CONTEXT, bool(create)
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)
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cpdef str _get_proj_error() noexcept:
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"""
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Get the internal PROJ error message. Returns None if no error was set.
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"""
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return _INTERNAL_PROJ_ERROR
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cpdef void _clear_proj_error() noexcept:
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"""
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Clear the internal PROJ error message.
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"""
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global _INTERNAL_PROJ_ERROR
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_INTERNAL_PROJ_ERROR = None
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cdef void pyproj_log_function(void *user_data, int level, const char *error_msg) nogil noexcept:
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"""
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Log function for catching PROJ errors.
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"""
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# from pyproj perspective, everything from PROJ is for debugging.
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# The verbosity should be managed via the
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# PROJ_DEBUG environment variable.
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if level == PJ_LOG_ERROR:
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with gil:
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global _INTERNAL_PROJ_ERROR
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_INTERNAL_PROJ_ERROR = error_msg
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_LOGGER.debug(f"PROJ_ERROR: {_INTERNAL_PROJ_ERROR}")
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elif level == PJ_LOG_DEBUG:
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with gil:
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_LOGGER.debug(f"PROJ_DEBUG: {error_msg}")
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elif level == PJ_LOG_TRACE:
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with gil:
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_LOGGER.debug(f"PROJ_TRACE: {error_msg}")
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cdef void set_context_data_dir(PJ_CONTEXT* context) except *:
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"""
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Setup the data directory for the context for pyproj
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"""
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from pyproj.datadir import get_data_dir
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data_dir_list = get_data_dir().split(os.pathsep)
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# the first path will always have the database
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cdef bytes b_database_path = cstrencode(os.path.join(data_dir_list[0], "proj.db"))
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cdef const char* c_database_path = b_database_path
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if not proj_context_set_database_path(context, c_database_path, NULL, NULL):
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warnings.warn("pyproj unable to set database path.")
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cdef int dir_list_len = len(data_dir_list)
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cdef const char **c_data_dir = <const char **>malloc(
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(dir_list_len + 1) * sizeof(const char*)
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)
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cdef bytes b_data_dir
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try:
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for iii in range(dir_list_len):
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b_data_dir = cstrencode(data_dir_list[iii])
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c_data_dir[iii] = b_data_dir
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c_data_dir[dir_list_len] = _USER_DATA_DIR
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proj_context_set_search_paths(context, dir_list_len + 1, c_data_dir)
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finally:
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free(c_data_dir)
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cdef void pyproj_context_initialize(PJ_CONTEXT* context) except *:
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"""
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Setup the context for pyproj
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"""
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proj_log_func(context, NULL, pyproj_log_function)
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proj_context_use_proj4_init_rules(context, 1)
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set_context_data_dir(context)
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cdef class ContextManager:
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"""
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The only purpose of this class is
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to ensure the context is cleaned up properly.
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"""
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cdef PJ_CONTEXT* context
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def __cinit__(self):
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self.context = NULL
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def __dealloc__(self):
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if self.context != NULL:
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proj_context_destroy(self.context)
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@staticmethod
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cdef create(PJ_CONTEXT* context):
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cdef ContextManager context_manager = ContextManager()
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context_manager.context = context
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return context_manager
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# Different libraries that modify the PROJ global context will influence
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# each other without realizing it. Due to this, pyproj is creating it's own
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# global context so that it doesn't bother other libraries and is insulated
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# against possible external changes made to the PROJ global context.
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# See: https://github.com/pyproj4/pyproj/issues/722
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cdef PJ_CONTEXT* PYPROJ_GLOBAL_CONTEXT = proj_context_create()
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cdef ContextManager CONTEXT_MANAGER = ContextManager.create(PYPROJ_GLOBAL_CONTEXT)
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cdef PJ_CONTEXT* pyproj_context_create() except *:
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"""
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Create and initialize the context(s) for pyproj.
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This also manages whether the global context is used.
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"""
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if _USE_GLOBAL_CONTEXT:
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return PYPROJ_GLOBAL_CONTEXT
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return proj_context_clone(PYPROJ_GLOBAL_CONTEXT)
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cdef void pyproj_context_destroy(PJ_CONTEXT* context) except *:
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"""
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Destroy context only if not the global context
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"""
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if context != PYPROJ_GLOBAL_CONTEXT:
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proj_context_destroy(context)
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cpdef _pyproj_global_context_initialize():
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pyproj_context_initialize(PYPROJ_GLOBAL_CONTEXT)
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cpdef _global_context_set_data_dir():
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set_context_data_dir(PYPROJ_GLOBAL_CONTEXT)
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