publicImage/gprMax
1
0
派生 0
镜像自地址 https://gitee.com/sunhf/gprMax.git 已同步 2025-08-03 19:26:50 +08:00
代码 工单 软件包 项目 版本发布 百科 动态

First commit

浏览代码
这个提交包含在：
Craig Warren
2015-09-30 14:26:59 +01:00
当前提交 843ec686de
共有 122 个文件被更改，包括 16784 次插入 和 0 次删除
下载 Patch 文件 下载 Diff 文件 展开所有文件 折叠所有文件

1
.gitignore vendored 普通文件
查看文件

@@ -0,0 +1 @@
.DS_Store

674
LICENSE 普通文件
查看文件

@@ -0,0 +1,674 @@
GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
Preamble
The GNU General Public License is a free, copyleft license for
software and other kinds of works.
The licenses for most software and other practical works are designed
to take away your freedom to share and change the works. By contrast,
the GNU General Public License is intended to guarantee your freedom to
share and change all versions of a program--to make sure it remains free
software for all its users. We, the Free Software Foundation, use the
GNU General Public License for most of our software; it applies also to
any other work released this way by its authors. You can apply it to
your programs, too.
When we speak of free software, we are referring to freedom, not
price. Our General Public Licenses are designed to make sure that you
have the freedom to distribute copies of free software (and charge for
them if you wish), that you receive source code or can get it if you
want it, that you can change the software or use pieces of it in new
free programs, and that you know you can do these things.
To protect your rights, we need to prevent others from denying you
these rights or asking you to surrender the rights. Therefore, you have
certain responsibilities if you distribute copies of the software, or if
you modify it: responsibilities to respect the freedom of others.
For example, if you distribute copies of such a program, whether
gratis or for a fee, you must pass on to the recipients the same
freedoms that you received. You must make sure that they, too, receive
or can get the source code. And you must show them these terms so they
know their rights.
Developers that use the GNU GPL protect your rights with two steps:
(1) assert copyright on the software, and (2) offer you this License
giving you legal permission to copy, distribute and/or modify it.
For the developers' and authors' protection, the GPL clearly explains
that there is no warranty for this free software. For both users' and
authors' sake, the GPL requires that modified versions be marked as
changed, so that their problems will not be attributed erroneously to
authors of previous versions.
Some devices are designed to deny users access to install or run
modified versions of the software inside them, although the manufacturer
can do so. This is fundamentally incompatible with the aim of
protecting users' freedom to change the software. The systematic
pattern of such abuse occurs in the area of products for individuals to
use, which is precisely where it is most unacceptable. Therefore, we
have designed this version of the GPL to prohibit the practice for those
products. If such problems arise substantially in other domains, we
stand ready to extend this provision to those domains in future versions
of the GPL, as needed to protect the freedom of users.
Finally, every program is threatened constantly by software patents.
States should not allow patents to restrict development and use of
software on general-purpose computers, but in those that do, we wish to
avoid the special danger that patents applied to a free program could
make it effectively proprietary. To prevent this, the GPL assures that
patents cannot be used to render the program non-free.
The precise terms and conditions for copying, distribution and
modification follow.
TERMS AND CONDITIONS
0. Definitions.
"This License" refers to version 3 of the GNU General Public License.
"Copyright" also means copyright-like laws that apply to other kinds of
works, such as semiconductor masks.
"The Program" refers to any copyrightable work licensed under this
License. Each licensee is addressed as "you". "Licensees" and
"recipients" may be individuals or organizations.
To "modify" a work means to copy from or adapt all or part of the work
in a fashion requiring copyright permission, other than the making of an
exact copy. The resulting work is called a "modified version" of the
earlier work or a work "based on" the earlier work.
A "covered work" means either the unmodified Program or a work based
on the Program.
To "propagate" a work means to do anything with it that, without
permission, would make you directly or secondarily liable for
infringement under applicable copyright law, except executing it on a
computer or modifying a private copy. Propagation includes copying,
distribution (with or without modification), making available to the
public, and in some countries other activities as well.
To "convey" a work means any kind of propagation that enables other
parties to make or receive copies. Mere interaction with a user through
a computer network, with no transfer of a copy, is not conveying.
An interactive user interface displays "Appropriate Legal Notices"
to the extent that it includes a convenient and prominently visible
feature that (1) displays an appropriate copyright notice, and (2)
tells the user that there is no warranty for the work (except to the
extent that warranties are provided), that licensees may convey the
work under this License, and how to view a copy of this License. If
the interface presents a list of user commands or options, such as a
menu, a prominent item in the list meets this criterion.
1. Source Code.
The "source code" for a work means the preferred form of the work
for making modifications to it. "Object code" means any non-source
form of a work.
A "Standard Interface" means an interface that either is an official
standard defined by a recognized standards body, or, in the case of
interfaces specified for a particular programming language, one that
is widely used among developers working in that language.
The "System Libraries" of an executable work include anything, other
than the work as a whole, that (a) is included in the normal form of
packaging a Major Component, but which is not part of that Major
Component, and (b) serves only to enable use of the work with that
Major Component, or to implement a Standard Interface for which an
implementation is available to the public in source code form. A
"Major Component", in this context, means a major essential component
(kernel, window system, and so on) of the specific operating system
(if any) on which the executable work runs, or a compiler used to
produce the work, or an object code interpreter used to run it.
The "Corresponding Source" for a work in object code form means all
the source code needed to generate, install, and (for an executable
work) run the object code and to modify the work, including scripts to
control those activities. However, it does not include the work's
System Libraries, or general-purpose tools or generally available free
programs which are used unmodified in performing those activities but
which are not part of the work. For example, Corresponding Source
includes interface definition files associated with source files for
the work, and the source code for shared libraries and dynamically
linked subprograms that the work is specifically designed to require,
such as by intimate data communication or control flow between those
subprograms and other parts of the work.
The Corresponding Source need not include anything that users
can regenerate automatically from other parts of the Corresponding
Source.
The Corresponding Source for a work in source code form is that
same work.
2. Basic Permissions.
All rights granted under this License are granted for the term of
copyright on the Program, and are irrevocable provided the stated
conditions are met. This License explicitly affirms your unlimited
permission to run the unmodified Program. The output from running a
covered work is covered by this License only if the output, given its
content, constitutes a covered work. This License acknowledges your
rights of fair use or other equivalent, as provided by copyright law.
You may make, run and propagate covered works that you do not
convey, without conditions so long as your license otherwise remains
in force. You may convey covered works to others for the sole purpose
of having them make modifications exclusively for you, or provide you
with facilities for running those works, provided that you comply with
the terms of this License in conveying all material for which you do
not control copyright. Those thus making or running the covered works
for you must do so exclusively on your behalf, under your direction
and control, on terms that prohibit them from making any copies of
your copyrighted material outside their relationship with you.
Conveying under any other circumstances is permitted solely under
the conditions stated below. Sublicensing is not allowed; section 10
makes it unnecessary.
3. Protecting Users' Legal Rights From Anti-Circumvention Law.
No covered work shall be deemed part of an effective technological
measure under any applicable law fulfilling obligations under article
11 of the WIPO copyright treaty adopted on 20 December 1996, or
similar laws prohibiting or restricting circumvention of such
measures.
When you convey a covered work, you waive any legal power to forbid
circumvention of technological measures to the extent such circumvention
is effected by exercising rights under this License with respect to
the covered work, and you disclaim any intention to limit operation or
modification of the work as a means of enforcing, against the work's
users, your or third parties' legal rights to forbid circumvention of
technological measures.
4. Conveying Verbatim Copies.
You may convey verbatim copies of the Program's source code as you
receive it, in any medium, provided that you conspicuously and
appropriately publish on each copy an appropriate copyright notice;
keep intact all notices stating that this License and any
non-permissive terms added in accord with section 7 apply to the code;
keep intact all notices of the absence of any warranty; and give all
recipients a copy of this License along with the Program.
You may charge any price or no price for each copy that you convey,
and you may offer support or warranty protection for a fee.
5. Conveying Modified Source Versions.
You may convey a work based on the Program, or the modifications to
produce it from the Program, in the form of source code under the
terms of section 4, provided that you also meet all of these conditions:
a) The work must carry prominent notices stating that you modified
it, and giving a relevant date.
b) The work must carry prominent notices stating that it is
released under this License and any conditions added under section
7. This requirement modifies the requirement in section 4 to
"keep intact all notices".
c) You must license the entire work, as a whole, under this
License to anyone who comes into possession of a copy. This
License will therefore apply, along with any applicable section 7
additional terms, to the whole of the work, and all its parts,
regardless of how they are packaged. This License gives no
permission to license the work in any other way, but it does not
invalidate such permission if you have separately received it.
d) If the work has interactive user interfaces, each must display
Appropriate Legal Notices; however, if the Program has interactive
interfaces that do not display Appropriate Legal Notices, your
work need not make them do so.
A compilation of a covered work with other separate and independent
works, which are not by their nature extensions of the covered work,
and which are not combined with it such as to form a larger program,
in or on a volume of a storage or distribution medium, is called an
"aggregate" if the compilation and its resulting copyright are not
used to limit the access or legal rights of the compilation's users
beyond what the individual works permit. Inclusion of a covered work
in an aggregate does not cause this License to apply to the other
parts of the aggregate.
6. Conveying Non-Source Forms.
You may convey a covered work in object code form under the terms
of sections 4 and 5, provided that you also convey the
machine-readable Corresponding Source under the terms of this License,
in one of these ways:
a) Convey the object code in, or embodied in, a physical product
(including a physical distribution medium), accompanied by the
Corresponding Source fixed on a durable physical medium
customarily used for software interchange.
b) Convey the object code in, or embodied in, a physical product
(including a physical distribution medium), accompanied by a
written offer, valid for at least three years and valid for as
long as you offer spare parts or customer support for that product
model, to give anyone who possesses the object code either (1) a
copy of the Corresponding Source for all the software in the
product that is covered by this License, on a durable physical
medium customarily used for software interchange, for a price no
more than your reasonable cost of physically performing this
conveying of source, or (2) access to copy the
Corresponding Source from a network server at no charge.
c) Convey individual copies of the object code with a copy of the
written offer to provide the Corresponding Source. This
alternative is allowed only occasionally and noncommercially, and
only if you received the object code with such an offer, in accord
with subsection 6b.
d) Convey the object code by offering access from a designated
place (gratis or for a charge), and offer equivalent access to the
Corresponding Source in the same way through the same place at no
further charge. You need not require recipients to copy the
Corresponding Source along with the object code. If the place to
copy the object code is a network server, the Corresponding Source
may be on a different server (operated by you or a third party)
that supports equivalent copying facilities, provided you maintain
clear directions next to the object code saying where to find the
Corresponding Source. Regardless of what server hosts the
Corresponding Source, you remain obligated to ensure that it is
available for as long as needed to satisfy these requirements.
e) Convey the object code using peer-to-peer transmission, provided
you inform other peers where the object code and Corresponding
Source of the work are being offered to the general public at no
charge under subsection 6d.
A separable portion of the object code, whose source code is excluded
from the Corresponding Source as a System Library, need not be
included in conveying the object code work.
A "User Product" is either (1) a "consumer product", which means any
tangible personal property which is normally used for personal, family,
or household purposes, or (2) anything designed or sold for incorporation
into a dwelling. In determining whether a product is a consumer product,
doubtful cases shall be resolved in favor of coverage. For a particular
product received by a particular user, "normally used" refers to a
typical or common use of that class of product, regardless of the status
of the particular user or of the way in which the particular user
actually uses, or expects or is expected to use, the product. A product
is a consumer product regardless of whether the product has substantial
commercial, industrial or non-consumer uses, unless such uses represent
the only significant mode of use of the product.
"Installation Information" for a User Product means any methods,
procedures, authorization keys, or other information required to install
and execute modified versions of a covered work in that User Product from
a modified version of its Corresponding Source. The information must
suffice to ensure that the continued functioning of the modified object
code is in no case prevented or interfered with solely because
modification has been made.
If you convey an object code work under this section in, or with, or
specifically for use in, a User Product, and the conveying occurs as
part of a transaction in which the right of possession and use of the
User Product is transferred to the recipient in perpetuity or for a
fixed term (regardless of how the transaction is characterized), the
Corresponding Source conveyed under this section must be accompanied
by the Installation Information. But this requirement does not apply
if neither you nor any third party retains the ability to install
modified object code on the User Product (for example, the work has
been installed in ROM).
The requirement to provide Installation Information does not include a
requirement to continue to provide support service, warranty, or updates
for a work that has been modified or installed by the recipient, or for
the User Product in which it has been modified or installed. Access to a
network may be denied when the modification itself materially and
adversely affects the operation of the network or violates the rules and
protocols for communication across the network.
Corresponding Source conveyed, and Installation Information provided,
in accord with this section must be in a format that is publicly
documented (and with an implementation available to the public in
source code form), and must require no special password or key for
unpacking, reading or copying.
7. Additional Terms.
"Additional permissions" are terms that supplement the terms of this
License by making exceptions from one or more of its conditions.
Additional permissions that are applicable to the entire Program shall
be treated as though they were included in this License, to the extent
that they are valid under applicable law. If additional permissions
apply only to part of the Program, that part may be used separately
under those permissions, but the entire Program remains governed by
this License without regard to the additional permissions.
When you convey a copy of a covered work, you may at your option
remove any additional permissions from that copy, or from any part of
it. (Additional permissions may be written to require their own
removal in certain cases when you modify the work.) You may place
additional permissions on material, added by you to a covered work,
for which you have or can give appropriate copyright permission.
Notwithstanding any other provision of this License, for material you
add to a covered work, you may (if authorized by the copyright holders of
that material) supplement the terms of this License with terms:
a) Disclaiming warranty or limiting liability differently from the
terms of sections 15 and 16 of this License; or
b) Requiring preservation of specified reasonable legal notices or
author attributions in that material or in the Appropriate Legal
Notices displayed by works containing it; or
c) Prohibiting misrepresentation of the origin of that material, or
requiring that modified versions of such material be marked in
reasonable ways as different from the original version; or
d) Limiting the use for publicity purposes of names of licensors or
authors of the material; or
e) Declining to grant rights under trademark law for use of some
trade names, trademarks, or service marks; or
f) Requiring indemnification of licensors and authors of that
material by anyone who conveys the material (or modified versions of
it) with contractual assumptions of liability to the recipient, for
any liability that these contractual assumptions directly impose on
those licensors and authors.
All other non-permissive additional terms are considered "further
restrictions" within the meaning of section 10. If the Program as you
received it, or any part of it, contains a notice stating that it is
governed by this License along with a term that is a further
restriction, you may remove that term. If a license document contains
a further restriction but permits relicensing or conveying under this
License, you may add to a covered work material governed by the terms
of that license document, provided that the further restriction does
not survive such relicensing or conveying.
If you add terms to a covered work in accord with this section, you
must place, in the relevant source files, a statement of the
additional terms that apply to those files, or a notice indicating
where to find the applicable terms.
Additional terms, permissive or non-permissive, may be stated in the
form of a separately written license, or stated as exceptions;
the above requirements apply either way.
8. Termination.
You may not propagate or modify a covered work except as expressly
provided under this License. Any attempt otherwise to propagate or
modify it is void, and will automatically terminate your rights under
this License (including any patent licenses granted under the third
paragraph of section 11).
However, if you cease all violation of this License, then your
license from a particular copyright holder is reinstated (a)
provisionally, unless and until the copyright holder explicitly and
finally terminates your license, and (b) permanently, if the copyright
holder fails to notify you of the violation by some reasonable means
prior to 60 days after the cessation.
Moreover, your license from a particular copyright holder is
reinstated permanently if the copyright holder notifies you of the
violation by some reasonable means, this is the first time you have
received notice of violation of this License (for any work) from that
copyright holder, and you cure the violation prior to 30 days after
your receipt of the notice.
Termination of your rights under this section does not terminate the
licenses of parties who have received copies or rights from you under
this License. If your rights have been terminated and not permanently
reinstated, you do not qualify to receive new licenses for the same
material under section 10.
9. Acceptance Not Required for Having Copies.
You are not required to accept this License in order to receive or
run a copy of the Program. Ancillary propagation of a covered work
occurring solely as a consequence of using peer-to-peer transmission
to receive a copy likewise does not require acceptance. However,
nothing other than this License grants you permission to propagate or
modify any covered work. These actions infringe copyright if you do
not accept this License. Therefore, by modifying or propagating a
covered work, you indicate your acceptance of this License to do so.
10. Automatic Licensing of Downstream Recipients.
Each time you convey a covered work, the recipient automatically
receives a license from the original licensors, to run, modify and
propagate that work, subject to this License. You are not responsible
for enforcing compliance by third parties with this License.
An "entity transaction" is a transaction transferring control of an
organization, or substantially all assets of one, or subdividing an
organization, or merging organizations. If propagation of a covered
work results from an entity transaction, each party to that
transaction who receives a copy of the work also receives whatever
licenses to the work the party's predecessor in interest had or could
give under the previous paragraph, plus a right to possession of the
Corresponding Source of the work from the predecessor in interest, if
the predecessor has it or can get it with reasonable efforts.
You may not impose any further restrictions on the exercise of the
rights granted or affirmed under this License. For example, you may
not impose a license fee, royalty, or other charge for exercise of
rights granted under this License, and you may not initiate litigation
(including a cross-claim or counterclaim in a lawsuit) alleging that
any patent claim is infringed by making, using, selling, offering for
sale, or importing the Program or any portion of it.
11. Patents.
A "contributor" is a copyright holder who authorizes use under this
License of the Program or a work on which the Program is based. The
work thus licensed is called the contributor's "contributor version".
A contributor's "essential patent claims" are all patent claims
owned or controlled by the contributor, whether already acquired or
hereafter acquired, that would be infringed by some manner, permitted
by this License, of making, using, or selling its contributor version,
but do not include claims that would be infringed only as a
consequence of further modification of the contributor version. For
purposes of this definition, "control" includes the right to grant
patent sublicenses in a manner consistent with the requirements of
this License.
Each contributor grants you a non-exclusive, worldwide, royalty-free
patent license under the contributor's essential patent claims, to
make, use, sell, offer for sale, import and otherwise run, modify and
propagate the contents of its contributor version.
In the following three paragraphs, a "patent license" is any express
agreement or commitment, however denominated, not to enforce a patent
(such as an express permission to practice a patent or covenant not to
sue for patent infringement). To "grant" such a patent license to a
party means to make such an agreement or commitment not to enforce a
patent against the party.
If you convey a covered work, knowingly relying on a patent license,
and the Corresponding Source of the work is not available for anyone
to copy, free of charge and under the terms of this License, through a
publicly available network server or other readily accessible means,
then you must either (1) cause the Corresponding Source to be so
available, or (2) arrange to deprive yourself of the benefit of the
patent license for this particular work, or (3) arrange, in a manner
consistent with the requirements of this License, to extend the patent
license to downstream recipients. "Knowingly relying" means you have
actual knowledge that, but for the patent license, your conveying the
covered work in a country, or your recipient's use of the covered work
in a country, would infringe one or more identifiable patents in that
country that you have reason to believe are valid.
If, pursuant to or in connection with a single transaction or
arrangement, you convey, or propagate by procuring conveyance of, a
covered work, and grant a patent license to some of the parties
receiving the covered work authorizing them to use, propagate, modify
or convey a specific copy of the covered work, then the patent license
you grant is automatically extended to all recipients of the covered
work and works based on it.
A patent license is "discriminatory" if it does not include within
the scope of its coverage, prohibits the exercise of, or is
conditioned on the non-exercise of one or more of the rights that are
specifically granted under this License. You may not convey a covered
work if you are a party to an arrangement with a third party that is
in the business of distributing software, under which you make payment
to the third party based on the extent of your activity of conveying
the work, and under which the third party grants, to any of the
parties who would receive the covered work from you, a discriminatory
patent license (a) in connection with copies of the covered work
conveyed by you (or copies made from those copies), or (b) primarily
for and in connection with specific products or compilations that
contain the covered work, unless you entered into that arrangement,
or that patent license was granted, prior to 28 March 2007.
Nothing in this License shall be construed as excluding or limiting
any implied license or other defenses to infringement that may
otherwise be available to you under applicable patent law.
12. No Surrender of Others' Freedom.
If conditions are imposed on you (whether by court order, agreement or
otherwise) that contradict the conditions of this License, they do not
excuse you from the conditions of this License. If you cannot convey a
covered work so as to satisfy simultaneously your obligations under this
License and any other pertinent obligations, then as a consequence you may
not convey it at all. For example, if you agree to terms that obligate you
to collect a royalty for further conveying from those to whom you convey
the Program, the only way you could satisfy both those terms and this
License would be to refrain entirely from conveying the Program.
13. Use with the GNU Affero General Public License.
Notwithstanding any other provision of this License, you have
permission to link or combine any covered work with a work licensed
under version 3 of the GNU Affero General Public License into a single
combined work, and to convey the resulting work. The terms of this
License will continue to apply to the part which is the covered work,
but the special requirements of the GNU Affero General Public License,
section 13, concerning interaction through a network will apply to the
combination as such.
14. Revised Versions of this License.
The Free Software Foundation may publish revised and/or new versions of
the GNU General Public License from time to time. Such new versions will
be similar in spirit to the present version, but may differ in detail to
address new problems or concerns.
Each version is given a distinguishing version number. If the
Program specifies that a certain numbered version of the GNU General
Public License "or any later version" applies to it, you have the
option of following the terms and conditions either of that numbered
version or of any later version published by the Free Software
Foundation. If the Program does not specify a version number of the
GNU General Public License, you may choose any version ever published
by the Free Software Foundation.
If the Program specifies that a proxy can decide which future
versions of the GNU General Public License can be used, that proxy's
public statement of acceptance of a version permanently authorizes you
to choose that version for the Program.
Later license versions may give you additional or different
permissions. However, no additional obligations are imposed on any
author or copyright holder as a result of your choosing to follow a
later version.
15. Disclaimer of Warranty.
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
16. Limitation of Liability.
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
{one line to give the program's name and a brief idea of what it does.}
Copyright (C) {year} {name of author}
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
{project} Copyright (C) {year} {fullname}
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<http://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<http://www.gnu.org/philosophy/why-not-lgpl.html>.

132
README.rst 普通文件
查看文件

@@ -0,0 +1,132 @@
***************
Getting Started
***************
What is gprMax?
===============
gprMax (http://www.gprmax.com) is free software that simulates electromagnetic wave propagation. It solves Maxwell's equations in 3D using the Finite-Difference Time-Domain (FDTD) method. gprMax was designed for modelling Ground Penetrating Radar (GPR) but can also be used to model electromagnetic wave propagation for many other applications.
gprMax is released under the GNU General Public License v3 or higher (http://www.gnu.org/copyleft/gpl.html).
gprMax is written in Python 3 (https://www.python.org) and includes performance-critical parts written in Cython/OpenMP (http://cython.org).
.. code-block:: none
gprMax/
gprMax/
tests/
tools/
user_libs/
user_models/
README.rst
setup.py
* ``gprMax`` is the main package. Within this package the main module is ``gprMax.py``
* ``tests`` is a sub-package which contains test modules and input files.
* ``tools`` is a sub-package which contains scripts to assist with viewing and post-processing output from models.
* ``user_libs`` is a sub-package where useful modules contributed by users are stored.
* ``user_models`` is a sub-package where useful input files contributed by users are stored.
* ``README.rst`` contains getting started information on installation, usage, and new features/changes.
* ``setup.py`` is used to compile the Cython extension modules.
Installation
============
Get the code
------------
* Use **Git** (https://git-scm.com) and clone the master branch of the repository: :code:`git clone https://github.com/gprMax/gprMax.git`
* or **download a zip archive** of the code from https://github.com/gprMax/gprMax. Choose the ``Download ZIP`` button (right-hand side of the page).
Install Python and a C compiler
-------------------------------
To build and use the code you will need:
* **Python 3**.
* Python packages: **cython, h5py, matplotlib, numpy, psutil, pyfiglet**. Optionally **mpi4py** if you want to use the Message Passing Interface (MPI) task farm functionality (requires an installation of OpenMPI).
* **C compiler which supports OpenMP**
Use the following guidance dependent on your platform.
Mac OS X and Linux
^^^^^^^^^^^^^^^^^^
* Install Python 3 (https://www.python.org/downloads/)
* Install the aforementioned Python packages, which on Mac OS X can be done using the :code:`pip` package manager which comes with Python, e.g. :code:`pip install cython`. The same goes for Linux, or alternatively you can use the :code:`apt-get` package manager, e.g. :code:`sudo apt-get install python3-cython`. To check what packages are installed use :code:`pip list`.
* Install a C compiler which supports OpenMP. Linux should have gcc (https://gcc.gnu.org) already installed. With most recent versions of Mac OS X the LLVM (clang) is installed by default which does not support OpenMP. However, gcc is easily installed using the Homebrew package manager (http://brew.sh).
Microsoft Windows
^^^^^^^^^^^^^^^^^
Using the code on Windows is not as simple as for other platforms. Please make sure you install the correct versions of binary packages depending on whether you have 32- or 64-bit Windows. The most straightforward method is to:
* Install Python 3 (https://www.python.org/downloads/)
* Download and install Microsoft Visual Studio 2015 Community (https://www.visualstudio.com/downloads/download-visual-studio-vs), which is free. Do a custom install and make sure under programming languages Visual C++ is selected, no other options are required.
* Create a new environment variable :code:`VS100COMNTOOLS` which matches the value of the existing :code:`VS140COMNTOOLS` environment variable. To set an environment variable from the Start Menu, right-click the Computer icon and select Properties. Click the Advanced System Settings link in the left column. In the System Properties window, click on the Advanced tab, then click the Environment Variables button near the bottom of that tab.
* Use the :code:`pip` package manager, which comes with Python, to install the cython, psutil, pyfiglet, pyparsing, python-dateutil, and pytz packages e.g. :code:`pip install cython`. To check what packages are installed use :code:`pip list`.
* Download binaries of packages numpy, h5py, matplotlib (http://www.lfd.uci.edu/~gohlke/pythonlibs/) and install (in the aforementioned order) using ``pip``, e.g. :code:`pip install numpy-1.9.2+mkl-cp35-none-win_amd64.whl`
Compile Cython extensions
-------------------------
Once you have installed the aforementioned tools follow these steps to build the Cython extension modules for gprMax:
#. Open a Terminal (Linux/Mac OS X) or Command Prompt (Windows) and navigate into the gprMax directory.
#. Compile the Cython extension modules using: :code:`python setup.py build_ext --inplace`. You should see a set of :code:`.c` source files and a set of :code:`.so` (Linux/Mac OS X) or :code:`.pyd` (Windows) compiled module files inside the gprMax directory. If you want to remove/clean Cython generated files, use :code:`python setup.py cleanall`.
You are now ready to run gprMax.
Run the code
============
* Open a Terminal (Linux/Mac OS X) or Command Prompt (Windows) and navigate into the top-level gprMax directory. gprMax in designed as a Python package, i.e. a namespace which can contain multiple packages and modules, much like a directory. Basic usage of gprMax is:
.. code-block:: none
python -m gprMax path_to/name_of_input_file
For example to run one of the test models, navigate into the top-level gprMax directory and use:
.. code-block:: none
python -m gprMax user_models/hertzian_dipole_2D.in
When the simulation is complete you can plot the A-scan using:
.. code-block:: none
python -m tools.plot_hdf5Ascan user_models/hertzian_dipole_2D.out
Optional command line arguments
-------------------------------
There are optional command line arguments for gprMax:
* ``--geometry-only`` will build a model and produce any geometry views but will not run the simulation. This option is useful for checking the geometry of the model is correct.
* ``-n`` is used along with a integer number to specify the number of times to run the input file. This option can be used to run a series of models, e.g. to create a B-scan that uses an antenna model.
* ``-mpi`` is a flag to turn on Message Passing Interface (MPI) task farm functionality. This option is most usefully combined with ``-n`` to allow individual models to be farmed out using MPI to compute nodes, e.g. when creating a B-scan each separate trace (model) would run as a separate MPI task.
* ``--commands-python`` will write an input file after any Python code blocks in the original input file have been processed.
* ``-h`` or ``--help`` can be used to get help on command line options.
For example, to check the geometry of a model:
.. code-block:: none
python -m gprMax heterogeneous_soil.in --geometry-only
For example, to run a B-scan with 50 traces using MPI:
.. code-block:: none
python -m gprMax GSSI_1500_cylinder_Bscan.in -n 50 -mpi

0
gprMax/__init__.py 普通文件
查看文件

15
gprMax/__main__.py 普通文件
查看文件

@@ -0,0 +1,15 @@
"""gprMax.__main__: executed when gprMax directory is called as script."""
from .gprMax import main
main()
# Code profiling
# Time profiling
#import cProfile, pstats
#cProfile.run('main()','stats')
#p = pstats.Stats('stats')
#p.sort_stats('time').print_stats(50)
# Memory profiling - use in gprMax.py
# from memory profiler import profile
# add @profile before function to profile

29
gprMax/constants.pxd 普通文件
查看文件

@@ -0,0 +1,29 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import numpy as np
cimport numpy as np
# Data types:
# Solid and ID arrays use 32-bit integers (0 to 4294967295)
# Rigid arrays use 8-bit integers (the smallest available type to store true/false)
# Fractal and dispersive coefficient arrays use complex numbers (complextype) which are represented as two floats
# Main field arrays use floats (floattype) and complex numbers (complextype)
ctypedef np.float32_t floattype_t
ctypedef np.complex64_t complextype_t

43
gprMax/constants.py 普通文件
查看文件

@@ -0,0 +1,43 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import sys
import decimal as d
import numpy as np
from pyfiglet import Figlet
# Data types:
# Solid and ID arrays use 32-bit integers (0 to 4294967295)
# Rigid arrays use 8-bit integers (the smallest available type to store true/false)
# Fractal and dispersive coefficient arrays use complex numbers (complextype) which are represented as two floats
# Main field arrays use floats (floattype) and complex numbers (complextype)
floattype = np.float32
complextype = np.complex64
# Speed of light in vacuum (m/s)
c = 2.9979245e8
# Permittivity of free space (F/m)
e0 = 8.854187e-12
# Permeability of free space (H/m)
m0 = 1.256637e-6
# Impedance of free space (Ohms)
z0 = 376.7303134

20
gprMax/exceptions.py 普通文件
查看文件

@@ -0,0 +1,20 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
class CmdInputError(ValueError):
"""Handles errors in user specified commands. Subclasses the ValueError class."""

112
gprMax/fields_output.py 普通文件
查看文件

@@ -0,0 +1,112 @@
import numpy as np
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import h5py
from .constants import floattype
def prepare_output_file(outputfile, G):
"""Prepares an output file in HDF5 format for writing.
Args:
outputfile (str): Name of the output file.
G (class): Grid class instance - holds essential parameters describing the model.
Returns:
f (file object): File object for the file to be written to.
"""
f = h5py.File(outputfile, 'w')
f.attrs['Title'] = G.title
f.attrs['Iterations'] = G.iterations
f.attrs['dx, dy, dz'] = (G.dx, G.dy, G.dz)
f.attrs['dt'] = G.dt
f.attrs['txsteps'] = (G.txstepx, G.txstepy, G.txstepz)
f.attrs['rxsteps'] = (G.rxstepx, G.rxstepy, G.rxstepz)
f.attrs['ntx'] = len(G.voltagesources) + len(G.hertziandipoles) + len(G.magneticdipoles)
f.attrs['nrx'] = len(G.rxs)
# Create groups for txs, rxs
txs = f.create_group('/txs')
rxs = f.create_group('/rxs')
# Add positional data for txs
if G.txs: # G.txs will be populated only if this is being used for converting old style output file to HDF5 format
txlist = G.txs
else:
txlist = G.voltagesources + G.hertziandipoles + G.magneticdipoles
for txindex, tx in enumerate(txlist):
tmp = f.create_group('/txs/tx' + str(txindex + 1))
tmp['Position'] = (tx.positionx * G.dx, tx.positiony * G.dy, tx.positionz * G.dz)
# Add positional data for rxs
for rxindex, rx in enumerate(G.rxs):
tmp = f.create_group('/rxs/rx' + str(rxindex + 1))
tmp['Position'] = (rx.positionx * G.dx, rx.positiony * G.dy, rx.positionz * G.dz)
tmp['Ex'] = np.zeros(G.iterations, dtype=floattype)
tmp['Ey'] = np.zeros(G.iterations, dtype=floattype)
tmp['Ez'] = np.zeros(G.iterations, dtype=floattype)
tmp['Hx'] = np.zeros(G.iterations, dtype=floattype)
tmp['Hy'] = np.zeros(G.iterations, dtype=floattype)
tmp['Hz'] = np.zeros(G.iterations, dtype=floattype)
return f
def write_output(f, timestep, Ex, Ey, Ez, Hx, Hy, Hz, G):
"""Writes field component values to an output file in HDF5 format.
Args:
f (file object): File object for the file to be written to.
timestep (int): Current iteration number.
Ex, Ey, Ez, Hx, Hy, Hz (memory view): Current electric and magnetic field values.
G (class): Grid class instance - holds essential parameters describing the model.
"""
# Normal field writing from main
if type(timestep) is not slice:
# For each rx, write field component values at current timestep
for rxindex, rx in enumerate(G.rxs):
f['/rxs/rx' + str(rxindex + 1) + '/Ex'][timestep] = Ex[rx.positionx, rx.positiony, rx.positionz]
f['/rxs/rx' + str(rxindex + 1) + '/Ey'][timestep] = Ey[rx.positionx, rx.positiony, rx.positionz]
f['/rxs/rx' + str(rxindex + 1) + '/Ez'][timestep] = Ez[rx.positionx, rx.positiony, rx.positionz]
f['/rxs/rx' + str(rxindex + 1) + '/Hx'][timestep] = Hx[rx.positionx, rx.positiony, rx.positionz]
f['/rxs/rx' + str(rxindex + 1) + '/Hy'][timestep] = Hy[rx.positionx, rx.positiony, rx.positionz]
f['/rxs/rx' + str(rxindex + 1) + '/Hz'][timestep] = Hz[rx.positionx, rx.positiony, rx.positionz]
# Field writing when converting old style output file to HDF5 format
else:
if len(G.rxs) == 1:
f['/rxs/rx1/Ex'][timestep] = Ex
f['/rxs/rx1/Ey'][timestep] = Ey
f['/rxs/rx1/Ez'][timestep] = Ez
f['/rxs/rx1/Hx'][timestep] = Hx
f['/rxs/rx1/Hy'][timestep] = Hy
f['/rxs/rx1/Hz'][timestep] = Hz
else:
for rxindex, rx in enumerate(G.rxs):
f['/rxs/rx' + str(rxindex + 1) + '/Ex'][timestep] = Ex[:, rxindex]
f['/rxs/rx' + str(rxindex + 1) + '/Ey'][timestep] = Ey[:, rxindex]
f['/rxs/rx' + str(rxindex + 1) + '/Ez'][timestep] = Ez[:, rxindex]
f['/rxs/rx' + str(rxindex + 1) + '/Hx'][timestep] = Hx[:, rxindex]
f['/rxs/rx' + str(rxindex + 1) + '/Hy'][timestep] = Hy[:, rxindex]
f['/rxs/rx' + str(rxindex + 1) + '/Hz'][timestep] = Hz[:, rxindex]

397
gprMax/fields_update.pyx 普通文件
查看文件

@@ -0,0 +1,397 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import numpy as np
cimport numpy as np
from cython.parallel import prange
from .constants cimport floattype_t, complextype_t
#########################################
# Electric field updates - Ex component #
#########################################
cpdef update_ex(int nx, int ny, int nz, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ex, floattype_t[:, :, :] Hy, floattype_t[:, :, :] Hz):
"""This function updates the Ex field components.
Args:
nx, ny, nz (int): Grid size in cells
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
"""
cdef int i, j, k, listIndex
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(1, ny):
for k in range(1, nz):
listIndex = ID[0, i, j, k]
Ex[i, j, k] = updatecoeffsE[listIndex, 0] * Ex[i, j, k] + updatecoeffsE[listIndex, 2] * (Hz[i, j, k] - Hz[i, j - 1, k]) - updatecoeffsE[listIndex, 3] * (Hy[i, j, k] - Hy[i, j, k - 1])
cpdef update_ex_dispersive_multipole_A(int nx, int ny, int nz, int nthreads, int maxpoles, floattype_t[:, :] updatecoeffsE, complextype_t[:, :] updatecoeffsdispersive, np.uint32_t[:, :, :, :] ID, complextype_t[:, :, :, :] Tx, floattype_t[:, :, :] Ex, floattype_t[:, :, :] Hy, floattype_t[:, :, :] Hz):
"""This function updates the Ex field components when dispersive materials (with multiple poles) are present.
Args:
nx, ny, nz (int): Grid size in cells
maxpoles (int): Maximum number of poles
nthreads (int): Number of threads to use
updatecoeffs, T, ID, E, H (memoryviews): Access to update coeffients, temporary, ID and field component arrays
"""
cdef int i, j, k, listIndex, p
cdef float phi = 0.0
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(1, ny):
for k in range(1, nz):
listIndex = ID[0, i, j, k]
phi = 0.0
for p in range(0, maxpoles):
phi = phi + updatecoeffsdispersive[listIndex, p * 3].real * Tx[p, i, j, k].real
Tx[p, i, j, k] = updatecoeffsdispersive[listIndex, 1 + (p * 3)] * Tx[p, i, j, k] + updatecoeffsdispersive[listIndex, 2 + (p * 3)] * Ex[i, j, k]
Ex[i, j, k] = updatecoeffsE[listIndex, 0] * Ex[i, j, k] + updatecoeffsE[listIndex, 2] * (Hz[i, j, k] - Hz[i, j - 1, k]) - updatecoeffsE[listIndex, 3] * (Hy[i, j, k] - Hy[i, j, k - 1]) - updatecoeffsE[listIndex, 4] * phi
cpdef update_ex_dispersive_multipole_B(int nx, int ny, int nz, int nthreads, int maxpoles, complextype_t[:, :] updatecoeffsdispersive, np.uint32_t[:, :, :, :] ID, complextype_t[:, :, :, :] Tx, floattype_t[:, :, :] Ex):
"""This function updates the Ex field components when dispersive materials (with multiple poles) are present.
Args:
nx, ny, nz (int): Grid size in cells
maxpoles (int): Maximum number of poles
nthreads (int): Number of threads to use
updatecoeffs, T, ID, E (memoryviews): Access to update coeffients, temporary, ID and field component arrays
"""
cdef int i, j, k, listIndex, p
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(1, ny):
for k in range(1, nz):
listIndex = ID[0, i, j, k]
for p in range(0, maxpoles):
Tx[p, i, j, k] = Tx[p, i, j, k] - updatecoeffsdispersive[listIndex, 2 + (p * 3)] * Ex[i, j, k]
cpdef update_ex_dispersive_1pole_A(int nx, int ny, int nz, int nthreads, floattype_t[:, :] updatecoeffsE, complextype_t[:, :] updatecoeffsdispersive, np.uint32_t[:, :, :, :] ID, complextype_t[:, :, :, :] Tx, floattype_t[:, :, :] Ex, floattype_t[:, :, :] Hy, floattype_t[:, :, :] Hz):
"""This function updates the Ex field components when dispersive materials (with 1 pole) are present.
Args:
nx, ny, nz (int): Grid size in cells
nthreads (int): Number of threads to use
updatecoeffs, T, ID, E, H (memoryviews): Access to update coeffients, temporary, ID and field component arrays
"""
cdef int i, j, k, listIndex
cdef float phi = 0.0
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(1, ny):
for k in range(1, nz):
listIndex = ID[0, i, j, k]
phi = updatecoeffsdispersive[listIndex, 0].real * Tx[0, i, j, k].real
Tx[0, i, j, k] = updatecoeffsdispersive[listIndex, 1] * Tx[0, i, j, k] + updatecoeffsdispersive[listIndex, 2] * Ex[i, j, k]
Ex[i, j, k] = updatecoeffsE[listIndex, 0] * Ex[i, j, k] + updatecoeffsE[listIndex, 2] * (Hz[i, j, k] - Hz[i, j - 1, k]) - updatecoeffsE[listIndex, 3] * (Hy[i, j, k] - Hy[i, j, k - 1]) - updatecoeffsE[listIndex, 4] * phi
cpdef update_ex_dispersive_1pole_B(int nx, int ny, int nz, int nthreads, complextype_t[:, :] updatecoeffsdispersive, np.uint32_t[:, :, :, :] ID, complextype_t[:, :, :, :] Tx, floattype_t[:, :, :] Ex):
"""This function updates the Ex field components when dispersive materials (with 1 pole) are present.
Args:
nx, ny, nz (int): Grid size in cells
nthreads (int): Number of threads to use
updatecoeffs, T, ID, E (memoryviews): Access to update coeffients, temporary, ID and field component arrays
"""
cdef int i, j, k, listIndex
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(1, ny):
for k in range(1, nz):
listIndex = ID[0, i, j, k]
Tx[0, i, j, k] = Tx[0, i, j, k] - updatecoeffsdispersive[listIndex, 2] * Ex[i, j, k]
#########################################
# Electric field updates - Ey component #
#########################################
cpdef update_ey(int nx, int ny, int nz, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ey, floattype_t[:, :, :] Hx, floattype_t[:, :, :] Hz):
"""This function updates the Ey field components.
Args:
nx, ny, nz (int): Grid size in cells
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
"""
cdef int i, j, k, listIndex
for i in prange(1, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(1, nz):
listIndex = ID[1, i, j, k]
Ey[i, j, k] = updatecoeffsE[listIndex, 0] * Ey[i, j, k] + updatecoeffsE[listIndex, 3] * (Hx[i, j, k] - Hx[i, j, k - 1]) - updatecoeffsE[listIndex, 1] * (Hz[i, j, k] - Hz[i - 1, j, k])
cpdef update_ey_dispersive_multipole_A(int nx, int ny, int nz, int nthreads, int maxpoles, floattype_t[:, :] updatecoeffsE, complextype_t[:, :] updatecoeffsdispersive, np.uint32_t[:, :, :, :] ID, complextype_t[:, :, :, :] Ty, floattype_t[:, :, :] Ey, floattype_t[:, :, :] Hx, floattype_t[:, :, :] Hz):
"""This function updates the Ey field components when dispersive materials (with multiple poles) are present.
Args:
nx, ny, nz (int): Grid size in cells
maxpoles (int): Maximum number of poles
nthreads (int): Number of threads to use
updatecoeffs, T, ID, E, H (memoryviews): Access to update coeffients, temporary, ID and field component arrays
"""
cdef int i, j, k, listIndex, p
cdef float phi = 0.0
for i in prange(1, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(1, nz):
listIndex = ID[1, i, j, k]
phi = 0.0
for p in range(0, maxpoles):
phi = phi + updatecoeffsdispersive[listIndex, p * 3].real * Ty[p, i, j, k].real
Ty[p, i, j, k] = updatecoeffsdispersive[listIndex, 1 + (p * 3)] * Ty[p, i, j, k] + updatecoeffsdispersive[listIndex, 2 + (p * 3)] * Ey[i, j, k]
Ey[i, j, k] = updatecoeffsE[listIndex, 0] * Ey[i, j, k] + updatecoeffsE[listIndex, 3] * (Hx[i, j, k] - Hx[i, j, k - 1]) - updatecoeffsE[listIndex, 1] * (Hz[i, j, k] - Hz[i - 1, j, k]) - updatecoeffsE[listIndex, 4] * phi
cpdef update_ey_dispersive_multipole_B(int nx, int ny, int nz, int nthreads, int maxpoles, complextype_t[:, :] updatecoeffsdispersive, np.uint32_t[:, :, :, :] ID, complextype_t[:, :, :, :] Ty, floattype_t[:, :, :] Ey):
"""This function updates the Ey field components when dispersive materials (with multiple poles) are present.
Args:
nx, ny, nz (int): Grid size in cells
maxpoles (int): Maximum number of poles
nthreads (int): Number of threads to use
updatecoeffs, T, ID, E, H (memoryviews): Access to update coeffients, temporary, ID and field component arrays
"""
cdef int i, j, k, listIndex, p
for i in prange(1, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(1, nz):
listIndex = ID[1, i, j, k]
for p in range(0, maxpoles):
Ty[p, i, j, k] = Ty[p, i, j, k] - updatecoeffsdispersive[listIndex, 2 + (p * 3)] * Ey[i, j, k]
cpdef update_ey_dispersive_1pole_A(int nx, int ny, int nz, int nthreads, floattype_t[:, :] updatecoeffsE, complextype_t[:, :] updatecoeffsdispersive, np.uint32_t[:, :, :, :] ID, complextype_t[:, :, :, :] Ty, floattype_t[:, :, :] Ey, floattype_t[:, :, :] Hx, floattype_t[:, :, :] Hz):
"""This function updates the Ey field components when dispersive materials (with 1 pole) are present.
Args:
nx, ny, nz (int): Grid size in cells
nthreads (int): Number of threads to use
updatecoeffs, T, ID, E, H (memoryviews): Access to update coeffients, temporary, ID and field component arrays
"""
cdef int i, j, k, listIndex
cdef float phi = 0.0
for i in prange(1, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(1, nz):
listIndex = ID[1, i, j, k]
phi = updatecoeffsdispersive[listIndex, 0].real * Ty[0, i, j, k].real
Ty[0, i, j, k] = updatecoeffsdispersive[listIndex, 1] * Ty[0, i, j, k] + updatecoeffsdispersive[listIndex, 2] * Ey[i, j, k]
Ey[i, j, k] = updatecoeffsE[listIndex, 0] * Ey[i, j, k] + updatecoeffsE[listIndex, 3] * (Hx[i, j, k] - Hx[i, j, k - 1]) - updatecoeffsE[listIndex, 1] * (Hz[i, j, k] - Hz[i - 1, j, k]) - updatecoeffsE[listIndex, 4] * phi
cpdef update_ey_dispersive_1pole_B(int nx, int ny, int nz, int nthreads, complextype_t[:, :] updatecoeffsdispersive, np.uint32_t[:, :, :, :] ID, complextype_t[:, :, :, :] Ty, floattype_t[:, :, :] Ey):
"""This function updates the Ey field components when dispersive materials (with 1 pole) are present.
Args:
nx, ny, nz (int): Grid size in cells
nthreads (int): Number of threads to use
updatecoeffs, T, ID, E (memoryviews): Access to update coeffients, temporary, ID and field component arrays
"""
cdef int i, j, k, listIndex
for i in prange(1, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(1, nz):
listIndex = ID[1, i, j, k]
Ty[0, i, j, k] = Ty[0, i, j, k] - updatecoeffsdispersive[listIndex, 2] * Ey[i, j, k]
#########################################
# Electric field updates - Ez component #
#########################################
cpdef update_ez(int nx, int ny, int nz, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ez, floattype_t[:, :, :] Hx, floattype_t[:, :, :] Hy):
"""This function updates the Ez field components.
Args:
nx, ny, nz (int): Grid size in cells
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
"""
cdef int i, j, k, listIndex
for i in prange(1, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(1, ny):
for k in range(0, nz):
listIndex = ID[2, i, j, k]
Ez[i, j, k] = updatecoeffsE[listIndex, 0] * Ez[i, j, k] + updatecoeffsE[listIndex, 1] * (Hy[i, j, k] - Hy[i - 1, j, k]) - updatecoeffsE[listIndex, 2] * (Hx[i, j, k] - Hx[i, j - 1, k])
cpdef update_ez_dispersive_multipole_A(int nx, int ny, int nz, int nthreads, int maxpoles, floattype_t[:, :] updatecoeffsE, complextype_t[:, :] updatecoeffsdispersive, np.uint32_t[:, :, :, :] ID, complextype_t[:, :, :, :] Tz, floattype_t[:, :, :] Ez, floattype_t[:, :, :] Hx, floattype_t[:, :, :] Hy):
"""This function updates the Ez field components when dispersive materials (with multiple poles) are present.
Args:
nx, ny, nz (int): Grid size in cells
maxpoles (int): Maximum number of poles
nthreads (int): Number of threads to use
updatecoeffs, T, ID, E, H (memoryviews): Access to update coeffients, temporary, ID and field component arrays
"""
cdef int i, j, k, listIndex, p
cdef float phi = 0.0
for i in prange(1, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(1, ny):
for k in range(0, nz):
listIndex = ID[2, i, j, k]
phi = 0.0
for p in range(0, maxpoles):
phi = phi + updatecoeffsdispersive[listIndex, p * 3].real * Tz[p, i, j, k].real
Tz[p, i, j, k] = updatecoeffsdispersive[listIndex, 1 + (p * 3)] * Tz[p, i, j, k] + updatecoeffsdispersive[listIndex, 2 + (p * 3)] * Ez[i, j, k]
Ez[i, j, k] = updatecoeffsE[listIndex, 0] * Ez[i, j, k] + updatecoeffsE[listIndex, 1] * (Hy[i, j, k] - Hy[i - 1, j, k]) - updatecoeffsE[listIndex, 2] * (Hx[i, j, k] - Hx[i, j - 1, k]) - updatecoeffsE[listIndex, 4] * phi
cpdef update_ez_dispersive_multipole_B(int nx, int ny, int nz, int nthreads, int maxpoles, complextype_t[:, :] updatecoeffsdispersive, np.uint32_t[:, :, :, :] ID, complextype_t[:, :, :, :] Tz, floattype_t[:, :, :] Ez):
"""This function updates the Ez field components when dispersive materials (with multiple poles) are present.
Args:
nx, ny, nz (int): Grid size in cells
maxpoles (int): Maximum number of poles
nthreads (int): Number of threads to use
updatecoeffs, T, ID, E (memoryviews): Access to update coeffients, temporary, ID and field component arrays
"""
cdef int i, j, k, listIndex, p
for i in prange(1, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(1, ny):
for k in range(0, nz):
listIndex = ID[2, i, j, k]
for p in range(0, maxpoles):
Tz[p, i, j, k] = Tz[p, i, j, k] - updatecoeffsdispersive[listIndex, 2 + (p * 3)] * Ez[i, j, k]
cpdef update_ez_dispersive_1pole_A(int nx, int ny, int nz, int nthreads, floattype_t[:, :] updatecoeffsE, complextype_t[:, :] updatecoeffsdispersive, np.uint32_t[:, :, :, :] ID, complextype_t[:, :, :, :] Tz, floattype_t[:, :, :] Ez, floattype_t[:, :, :] Hx, floattype_t[:, :, :] Hy):
"""This function updates the Ez field components when dispersive materials (with 1 pole) are present.
Args:
nx, ny, nz (int): Grid size in cells
nthreads (int): Number of threads to use
updatecoeffs, T, ID, E, H (memoryviews): Access to update coeffients, temporary, ID and field component arrays
"""
cdef int i, j, k, listIndex
cdef float phi = 0.0
for i in prange(1, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(1, ny):
for k in range(0, nz):
listIndex = ID[2, i, j, k]
phi = updatecoeffsdispersive[listIndex, 0].real * Tz[0, i, j, k].real
Tz[0, i, j, k] = updatecoeffsdispersive[listIndex, 1] * Tz[0, i, j, k] + updatecoeffsdispersive[listIndex, 2] * Ez[i, j, k]
Ez[i, j, k] = updatecoeffsE[listIndex, 0] * Ez[i, j, k] + updatecoeffsE[listIndex, 1] * (Hy[i, j, k] - Hy[i - 1, j, k]) - updatecoeffsE[listIndex, 2] * (Hx[i, j, k] - Hx[i, j - 1, k]) - updatecoeffsE[listIndex, 4] * phi
cpdef update_ez_dispersive_1pole_B(int nx, int ny, int nz, int nthreads, complextype_t[:, :] updatecoeffsdispersive, np.uint32_t[:, :, :, :] ID, complextype_t[:, :, :, :] Tz, floattype_t[:, :, :] Ez):
"""This function updates the Ez field components when dispersive materials (with 1 pole) are present.
Args:
nx, ny, nz (int): Grid size in cells
nthreads (int): Number of threads to use
updatecoeffs, T, ID, E (memoryviews): Access to update coeffients, temporary, ID and field component arrays
"""
cdef int i, j, k, listIndex
for i in prange(1, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(1, ny):
for k in range(0, nz):
listIndex = ID[2, i, j, k]
Tz[0, i, j, k] = Tz[0, i, j, k] - updatecoeffsdispersive[listIndex, 2] * Ez[i, j, k]
#########################################
# Magnetic field updates - Hx component #
#########################################
cpdef update_hx(int nx, int ny, int nz, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hx, floattype_t[:, :, :] Ey, floattype_t[:, :, :] Ez):
"""This function updates the Hx field components.
Args:
nx, ny, nz (int): Grid size in cells
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
"""
cdef int i, j, k, listIndex
for i in prange(1, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[3, i, j, k]
Hx[i, j, k] = updatecoeffsH[listIndex, 0] * Hx[i, j, k] - updatecoeffsH[listIndex, 2] * (Ez[i, j + 1, k] - Ez[i, j, k]) + updatecoeffsH[listIndex, 3] * (Ey[i, j, k + 1] - Ey[i, j, k])
#########################################
# Magnetic field updates - Hy component #
#########################################
cpdef update_hy(int nx, int ny, int nz, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hy, floattype_t[:, :, :] Ex, floattype_t[:, :, :] Ez):
"""This function updates the Hy field components.
Args:
nx, ny, nz (int): Grid size in cells
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
"""
cdef int i, j, k, listIndex
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(1, ny):
for k in range(0, nz):
listIndex = ID[4, i, j, k]
Hy[i, j, k] = updatecoeffsH[listIndex, 0] * Hy[i, j, k] - updatecoeffsH[listIndex, 3] * (Ex[i, j, k + 1] - Ex[i, j, k]) + updatecoeffsH[listIndex, 1] * (Ez[i + 1, j, k] - Ez[i, j, k])
#########################################
# Magnetic field updates - Hz component #
#########################################
cpdef update_hz(int nx, int ny, int nz, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hz, floattype_t[:, :, :] Ex, floattype_t[:, :, :] Ey):
"""This function updates the Hz field components.
Args:
nx, ny, nz (int): Grid size in cells
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
"""
cdef int i, j, k, listIndex
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(1, nz):
listIndex = ID[5, i, j, k]
Hz[i, j, k] = updatecoeffsH[listIndex, 0] * Hz[i, j, k] - updatecoeffsH[listIndex, 1] * (Ey[i + 1, j, k] - Ey[i, j, k]) + updatecoeffsH[listIndex, 2] * (Ex[i, j + 1, k] - Ex[i, j, k])

265
gprMax/fractals.py 普通文件
查看文件

@@ -0,0 +1,265 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import numpy as np
np.seterr(divide='raise')
from .constants import floattype, complextype
from .utilities import rvalue
class FractalSurface():
"""Fractal surfaces."""
surfaceIDs = ['xminus', 'xplus', 'yminus', 'yplus', 'zminus', 'zplus']
def __init__(self, xs, xf, ys, yf, zs, zf, dimension):
"""
Args:
xs, xf, ys, yf, zs, zf (float): Extent of the fractal surface (one pair of coordinates must be equal to correctly define a surface).
dimension (float): Fractal dimension that controls the fractal distribution.
"""
self.ID = None
self.surfaceID = None
self.xs = xs
self.xf = xf
self.ys = ys
self.yf = yf
self.zs = zs
self.zf = zf
self.nx = xf - xs
self.ny = yf - ys
self.nz = zf - zs
self.seed = None
self.dimension = dimension
# Constant related to fractal dimension from: http://dx.doi.org/10.1017/CBO9781139174695
self.b = -(2 * self.dimension - 7) / 2
self.weighting = (1, 1)
self.fractalrange = (0, 0)
self.filldepth = 0
self.grass = []
def generate_fractal_surface(self, G):
"""Generate a 2D array with a fractal distribution.
Args:
G (class): Grid class instance - holds essential parameters describing the model.
"""
if self.xs == self.xf:
surfacedims = (self.ny + 1, self.nz + 1)
d = G.dx
elif self.ys == self.yf:
surfacedims = (self.nx + 1, self.nz + 1)
d = G.dy
elif self.zs == self.zf:
surfacedims = (self.nx + 1, self.ny + 1)
d = G.dz
self.fractalsurface = np.zeros(surfacedims, dtype=complextype)
# Positional vector at centre of array, scaled by weighting
v1 = np.array([self.weighting[0]*(surfacedims[0])/2, self.weighting[1]*(surfacedims[1])/2])
# 2D array of random numbers to be convolved with the fractal function
R = np.random.RandomState(self.seed)
A = R.randn(surfacedims[0], surfacedims[1])
# 2D FFT
A = np.fft.fftn(A)
for i in range(surfacedims[0]):
for j in range(surfacedims[1]):
# Positional vector for current position
v2 = np.array([self.weighting[0]*i, self.weighting[1]*j])
rr = np.linalg.norm(v2 - v1)
try:
self.fractalsurface[i, j] = A[i, j] * 1/(rr**self.b)
except FloatingPointError:
rr = 0.9
self.fractalsurface[i, j] = A[i, j] * 1/(rr**self.b)
# Shift the zero frequency component to the centre of the spectrum
self.fractalsurface = np.fft.ifftshift(self.fractalsurface)
# Take the real part (numerical errors can give rise to an imaginary part) of the IFFT
self.fractalsurface = np.real(np.fft.ifftn(self.fractalsurface))
# Scale the fractal volume according to requested range
fractalmin = np.amin(self.fractalsurface)
fractalmax = np.amax(self.fractalsurface)
fractalrange = fractalmax - fractalmin
self.fractalsurface = self.fractalsurface * ((self.fractalrange[1] - self.fractalrange[0])/fractalrange) + self.fractalrange[0] - ((self.fractalrange[1] - self.fractalrange[0])/fractalrange) * fractalmin
class FractalVolume():
"""Fractal volumes."""
def __init__(self, xs, xf, ys, yf, zs, zf, dimension):
"""
Args:
xs, xf, ys, yf, zs, zf (float): Extent of the fractal volume.
dimension (float): Fractal dimension that controls the fractal distribution.
"""
self.ID = None
self.operatingonID= None
self.xs = xs
self.xf = xf
self.ys = ys
self.yf = yf
self.zs = zs
self.zf = zf
self.nx = xf - xs
self.ny = yf - ys
self.nz = zf - zs
self.seed = None
self.dimension = dimension
# Constant related to fractal dimension from: http://dx.doi.org/10.1017/CBO9781139174695
self.b = -(2 * self.dimension - 7) / 2
self.weighting = (1, 1, 1)
self.nbins = 0
self.fractalsurfaces = []
def generate_fractal_volume(self, G):
"""Generate a 3D volume with a fractal distribution.
Args:
G (class): Grid class instance - holds essential parameters describing the model.
"""
self.fractalvolume = np.zeros((self.nx + 1, self.ny + 1, self.nz + 1), dtype=complextype)
# Positional vector at centre of array, scaled by weighting
v1 = np.array([self.weighting[0]*(self.nx + 1)/2, self.weighting[1]*(self.ny + 1)/2, self.weighting[2]*(self.nz + 1)/2])
# 3D array of random numbers to be convolved with the fractal function
R = np.random.RandomState(self.seed)
A = R.randn(self.nx + 1, self.ny + 1, self.nz + 1)
# 3D FFT
A = np.fft.fftn(A)
for i in range(self.nx + 1):
for j in range(self.ny + 1):
for k in range(self.nz + 1):
# Positional vector for current position
v2 = np.array([self.weighting[0]*i, self.weighting[1]*j, self.weighting[2]*k])
rr = np.linalg.norm(v2 - v1)
try:
self.fractalvolume[i, j, k] = A[i, j, k] * 1/(rr**self.b)
except FloatingPointError:
rr = 0.9
self.fractalvolume[i, j, k] = A[i, j, k] * 1/(rr**self.b)
# Shift the zero frequency component to the centre of the spectrum
self.fractalvolume = np.fft.ifftshift(self.fractalvolume)
# Take the real part (numerical errors can give rise to an imaginary part) of the IFFT
self.fractalvolume = np.real(np.fft.ifftn(self.fractalvolume))
# Bin fractal values
bins = np.linspace(np.amin(self.fractalvolume), np.amax(self.fractalvolume), self.nbins + 1)
for j in range(self.ny + 1):
for k in range(self.nz + 1):
self.fractalvolume[:, j, k] = np.digitize(self.fractalvolume[:, j, k], bins, right=True)
def generate_volume_mask(self):
"""Generate a 3D volume to use as a mask for adding rough surfaces, water and grass/roots. Zero signifies the mask is not set, one signifies the mask is set."""
self.mask = np.zeros((self.nx + 1, self.ny + 1, self.nz + 1), dtype=np.int8)
maskxs = self.originalxs - self.xs
maskxf = (self.originalxf - self.originalxs) + maskxs + 1
maskys = self.originalys - self.ys
maskyf = (self.originalyf - self.originalys) + maskys + 1
maskzs = self.originalzs - self.zs
maskzf = (self.originalzf - self.originalzs) + maskzs + 1
self.mask[maskxs:maskxf, maskys:maskyf, maskzs:maskzf] = 1
class Grass():
"""Geometry information for blades of grass."""
def __init__(self, numblades):
"""
Args:
numblades (int): Number of blades of grass.
"""
self.numblades = numblades
self.geometryparams = np.zeros((self.numblades, 6), dtype=floattype)
self.seed = None
# Randomly defined parameters that will be used to calculate geometry
self.R1 = np.random.RandomState(self.seed)
self.R2 = np.random.RandomState(self.seed)
self.R3 = np.random.RandomState(self.seed)
self.R4 = np.random.RandomState(self.seed)
self.R5 = np.random.RandomState(self.seed)
self.R6 = np.random.RandomState(self.seed)
for i in range(self.numblades):
self.geometryparams[i, 0] = 10 + 20 * self.R1.random_sample()
self.geometryparams[i, 1] = 10 + 20 * self.R2.random_sample()
self.geometryparams[i, 2] = self.R3.choice([-1, 1])
self.geometryparams[i, 3] = self.R4.choice([-1, 1])
def calculate_blade_geometry(self, blade, height):
"""Calculates the x and y coordinates for a given height of grass blade.
Args:
blade (int): Numeric ID of grass blade.
height (float): Height of grass blade.
Returns:
x, y (float): x and y coordinates of grass blade.
"""
x = self.geometryparams[blade, 2] * (height / self.geometryparams[blade, 0]) * (height / self.geometryparams[blade, 0])
y = self.geometryparams[blade, 3] * (height / self.geometryparams[blade, 1]) * (height / self.geometryparams[blade, 1])
x = rvalue(x)
y = rvalue(y)
return x, y
def calculate_root_geometry(self, root, depth):
"""Calculates the x and y coordinates for a given depth of grass root.
Args:
root (int): Numeric ID of grass root.
depth (float): Depth of grass root.
Returns:
x, y (float): x and y coordinates of grass root.
"""
self.geometryparams[root, 4] += -1 + 2 * self.R5.random_sample()
self.geometryparams[root, 5] += -1 + 2 * self.R6.random_sample()
x = round(self.geometryparams[root, 4])
y = round(self.geometryparams[root, 5])
return x, y

600
gprMax/geometry_primitives.pyx 普通文件
查看文件

@@ -0,0 +1,600 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import numpy as np
cimport numpy as np
np.seterr(divide='raise')
from .utilities import rvalue
from .yee_cell_setget_rigid cimport set_rigid_Ex, set_rigid_Ey, set_rigid_Ez, set_rigid_Hx, set_rigid_Hy, set_rigid_Hz, set_rigid_E, unset_rigid_E, set_rigid_H, unset_rigid_H
cpdef bint are_clockwise(float v1x, float v1y, float v2x, float v2y):
"""Find if vector 2 is clockwise relative to vector 1.
Args:
v1x, v1y, v2x, v2y (float): Coordinates of vectors.
Returns:
(boolean)
"""
return -v1x*v2y + v1y*v2x > 0
cpdef bint is_within_radius(float vx, float vy, float radius):
"""Check if the point is within a given radius of the centre of the circle.
Args:
vx, vy (float): Coordinates of vector.
radius (float): Radius.
Returns:
(boolean)
"""
return vx*vx + vy*vy <= radius*radius
cpdef bint is_inside_sector(float px, float py, float ctrx, float ctry, float sectorstartangle, float sectorangle, float radius):
"""For a point to be inside a circular sector, it has to meet the following tests:
It has to be positioned anti-clockwise from the start "arm" of the sector
It has to be positioned clockwise from the end arm of the sector
It has to be closer to the center of the circle than the sectors radius.
Assumes sector start is always clockwise from sector end,
i.e. sector defined in an anti-clockwise direction
Args:
px, py (float): Coordinates of point.
ctrx, ctry (float): Coordinates of centre of circle.
sectorstartangle (float): Angle (in radians) of start of sector.
sectorangle (float): Angle (in radians) that sector makes.
radius (float): Radius.
Returns:
(boolean)
"""
cdef float sectorstart1, sectorstart2, sectorend1, sectorend2, relpoint1, relpoint2
sectorstart1 = radius * np.cos(sectorstartangle)
sectorstart2 = radius * np.sin(sectorstartangle)
sectorend1 = radius * np.cos(sectorstartangle + sectorangle)
sectorend2 = radius * np.sin(sectorstartangle + sectorangle)
relpoint1 = px - ctrx
relpoint2 = py - ctry
return not are_clockwise(sectorstart1, sectorstart2, relpoint1, relpoint2) and are_clockwise(sectorend1, sectorend2, relpoint1, relpoint2) and is_within_radius(relpoint1, relpoint2, radius)
cpdef build_edge_x(int i, int j, int k, int numIDx, np.int8_t[:, :, :, :] rigidE, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID):
"""Set x-orientated edges in the rigid and ID arrays for a Yee voxel.
Args:
i, j, k (int): Cell coordinates of edge.
numIDz (int): Numeric ID of material.
rigidE, rigidH, ID (memoryviews): Access to rigid and ID arrays.
"""
set_rigid_Ex(i, j, k, rigidE)
ID[0, i, j, k] = numIDx
cpdef build_edge_y(int i, int j, int k, int numIDy, np.int8_t[:, :, :, :] rigidE, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID):
"""Set y-orientated edges in the rigid and ID arrays for a Yee voxel.
Args:
i, j, k (int): Cell coordinates of edge.
numIDz (int): Numeric ID of material.
rigidE, rigidH, ID (memoryviews): Access to rigid and ID arrays.
"""
set_rigid_Ey(i, j, k, rigidE)
ID[1, i, j, k] = numIDy
cpdef build_edge_z(int i, int j, int k, int numIDz, np.int8_t[:, :, :, :] rigidE, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID):
"""Set z-orientated edges in the rigid and ID arrays for a Yee voxel.
Args:
i, j, k (int): Cell coordinates of edge.
numIDz (int): Numeric ID of material.
rigidE, rigidH, ID (memoryviews): Access to rigid and ID arrays.
"""
set_rigid_Ez(i, j, k, rigidE)
ID[2, i, j, k] = numIDz
cpdef build_face_yz(int i, int j, int k, int numIDy, int numIDz, np.int8_t[:, :, :, :] rigidE, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID):
"""Set the edges of the yz-plane face of a Yell cell in the rigid and ID arrays.
Args:
i, j, k (int): Cell coordinates of the face.
numIDx, numIDy (int): Numeric ID of material.
rigidE, rigidH, ID (memoryviews): Access to rigid and ID arrays.
"""
set_rigid_Ey(i, j, k, rigidE)
set_rigid_Ez(i, j, k, rigidE)
set_rigid_Ey(i, j, k + 1, rigidE)
set_rigid_Ez(i, j + 1, k, rigidE)
set_rigid_Hy(i, j, k, rigidH)
set_rigid_Hz(i, j, k, rigidH)
set_rigid_Hy(i, j, k + 1, rigidH)
set_rigid_Hz(i, j + 1, k, rigidH)
ID[1, i, j, k] = numIDy
ID[2, i, j, k] = numIDz
ID[1, i, j, k + 1] = numIDy
ID[2, i, j + 1, k] = numIDz
ID[4, i, j, k] = numIDy
ID[5, i, j, k] = numIDz
ID[4, i, j, k + 1] = numIDy
ID[5, i, j + 1, k] = numIDz
cpdef build_face_xz(int i, int j, int k, int numIDx, int numIDz, np.int8_t[:, :, :, :] rigidE, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID):
"""Set the edges of the xz-plane face of a Yell cell in the rigid and ID arrays.
Args:
i, j, k (int): Cell coordinates of the face.
numIDx, numIDy (int): Numeric ID of material.
rigidE, rigidH, ID (memoryviews): Access to rigid and ID arrays.
"""
set_rigid_Ex(i, j, k, rigidE)
set_rigid_Ez(i, j, k, rigidE)
set_rigid_Ex(i, j, k + 1, rigidE)
set_rigid_Ez(i + 1, j, k, rigidE)
set_rigid_Hx(i, j, k, rigidH)
set_rigid_Hz(i, j, k, rigidH)
set_rigid_Hx(i, j, k + 1, rigidH)
set_rigid_Hz(i + 1, j, k, rigidH)
ID[0, i, j, k] = numIDx
ID[2, i, j, k] = numIDz
ID[0, i, j, k + 1] = numIDx
ID[2, i + 1, j, k] = numIDz
ID[3, i, j, k] = numIDx
ID[5, i, j, k] = numIDz
ID[3, i, j, k + 1] = numIDx
ID[5, i + 1, j, k] = numIDz
cpdef build_face_xy(int i, int j, int k, int numIDx, int numIDy, np.int8_t[:, :, :, :] rigidE, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID):
"""Set the edges of the xy-plane face of a Yell cell in the rigid and ID arrays.
Args:
i, j, k (int): Cell coordinates of the face.
numIDx, numIDy (int): Numeric ID of material.
rigidE, rigidH, ID (memoryviews): Access to rigid and ID arrays.
"""
set_rigid_Ex(i, j, k, rigidE)
set_rigid_Ey(i, j, k, rigidE)
set_rigid_Ex(i, j + 1, k, rigidE)
set_rigid_Ey(i + 1, j, k, rigidE)
set_rigid_Hx(i, j, k, rigidH)
set_rigid_Hy(i, j, k, rigidH)
set_rigid_Hx(i, j + 1, k, rigidH)
set_rigid_Hy(i + 1, j, k, rigidH)
ID[0, i, j, k] = numIDx
ID[1, i, j, k] = numIDy
ID[0, i, j + 1, k] = numIDx
ID[1, i + 1, j, k] = numIDy
ID[3, i, j, k] = numIDx
ID[4, i, j, k] = numIDy
ID[3, i, j + 1, k] = numIDx
ID[4, i + 1, j, k] = numIDy
cpdef build_voxel(int i, int j, int k, int numID, int numIDx, int numIDy, int numIDz, bint averaging, np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidE, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID):
"""Set values in the solid, rigid and ID arrays for a Yee voxel.
Args:
i, j, k (int): Cell coordinates of voxel.
numID, numIDx, numIDy, numIDz (int): Numeric ID of material.
averaging (bint): Whether material property averging will occur for the object.
solid, rigidE, rigidH, ID (memoryviews): Access to solid, rigid and ID arrays.
"""
if averaging:
solid[i, j, k] = numID
unset_rigid_E(i, j, k, rigidE)
unset_rigid_H(i, j, k, rigidH)
else:
solid[i, j, k] = numID
set_rigid_E(i, j, k, rigidE)
set_rigid_H(i, j, k, rigidH)
ID[0, i, j, k] = numIDx
ID[0, i, j + 1, k + 1] = numIDx
ID[0, i, j + 1, k] = numIDx
ID[0, i, j, k + 1] = numIDx
ID[1, i, j, k] = numIDy
ID[1, i + 1, j, k + 1] = numIDy
ID[1, i + 1, j, k] = numIDy
ID[1, i, j, k + 1] = numIDy
ID[2, i, j, k] = numIDz
ID[2, i + 1, j + 1, k] = numIDz
ID[2, i + 1, j, k] = numIDz
ID[2, i, j + 1, k] = numIDz
ID[3, i, j, k] = numIDx
ID[3, i, j + 1, k + 1] = numIDx
ID[3, i, j + 1, k] = numIDx
ID[3, i, j, k + 1] = numIDx
ID[4, i, j, k] = numIDy
ID[4, i + 1, j, k + 1] = numIDy
ID[4, i + 1, j, k] = numIDy
ID[4, i, j, k + 1] = numIDy
ID[5, i, j, k] = numIDz
ID[5, i + 1, j + 1, k] = numIDz
ID[5, i + 1, j, k] = numIDz
ID[5, i, j + 1, k] = numIDz
cpdef build_triangle(float x1, float y1, float z1, float x2, float y2, float z2, float x3, float y3, float z3, str normal, int thickness, float dx, float dy, float dz, int numID, int numIDx, int numIDy, int numIDz, bint averaging, np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidE, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID):
"""Builds #triangle and #triangular_prism commands which sets values in the solid, rigid and ID arrays for a Yee voxel.
Args:
x1, y1, z1, x2, y2, z2, x3, y3, z3 (float): Coordinates of the vertices of the triangular prism.
normal (char): Normal direction to the plane of the triangular prism.
thickness (int): Thickness of the triangular prism.
dx, dy, dz (float): Spatial discretisation.
numID, numIDx, numIDy, numIDz (int): Numeric ID of material.
averaging (bint): Whether material property averging will occur for the object.
solid, rigidE, rigidH, ID (memoryviews): Access to solid, rigid and ID arrays.
"""
cdef int i, j, k, i1, i2, j1, j2, sign, level
cdef float area, s, t
# Calculate a bounding box for the triangle
if normal == 'x':
area = 0.5 * (-z2 * y3 + z1 * (-y2 + y3) + y1 * (z2 - z3) + y2 * z3)
i1 = rvalue(np.amin([y1, y2, y3]) / dy) - 1
i2 = rvalue(np.amax([y1, y2, y3]) / dy) + 1
j1 = rvalue(np.amin([z1, z2, z3]) / dz) - 1
j2 = rvalue(np.amax([z1, z2, z3]) / dz) + 1
level = rvalue(x1 / dx)
elif normal == 'y':
area = 0.5 * (-z2 * x3 + z1 * (-x2 + x3) + x1 * (z2 - z3) + x2 * z3)
i1 = rvalue(np.amin([x1, x2, x3]) / dx) - 1
i2 = rvalue(np.amax([x1, x2, x3]) / dx) + 1
j1 = rvalue(np.amin([z1, z2, z3]) / dz) - 1
j2 = rvalue(np.amax([z1, z2, z3]) / dz) + 1
level = rvalue(y1 /dy)
elif normal == 'z':
area = 0.5 * (-y2 * x3 + y1 * (-x2 + x3) + x1 * (y2 - y3) + x2 * y3)
i1 = rvalue(np.amin([x1, x2, x3]) / dx) - 1
i2 = rvalue(np.amax([x1, x2, x3]) / dx) + 1
j1 = rvalue(np.amin([y1, y2, y3]) / dy) - 1
j2 = rvalue(np.amax([y1, y2, y3]) / dy) + 1
level = rvalue(z1 / dz)
sign = np.sign(area)
for i in range(i1, i2):
for j in range(j1, j2):
# Calculate the areas of the 3 triangles defined by the 3 vertices of the main triangle and the point under test
if normal == 'x':
ir = (i + 0.5) * dy
jr = (j + 0.5) * dz
s = sign * (z1 * y3 - y1 * z3 + (z3 - z1) * ir + (y1 - y3) * jr);
t = sign * (y1 * z2 - z1 * y2 + (z1 - z2) * ir + (y2 - y1) * jr);
elif normal == 'y':
ir = (i + 0.5) * dx
jr = (j + 0.5) * dz
s = sign * (z1 * x3 - x1 * z3 + (z3 - z1) * ir + (x1 - x3) * jr);
t = sign * (x1 * z2 - z1 * x2 + (z1 - z2) * ir + (x2 - x1) * jr);
elif normal == 'z':
ir = (i + 0.5) * dx
jr = (j + 0.5) * dy
s = sign * (y1 * x3 - x1 * y3 + (y3 - y1) * ir + (x1 - x3) * jr);
t = sign * (x1 * y2 - y1 * x2 + (y1 - y2) * ir + (x2 - x1) * jr);
# If these conditions are true then point is inside triangle
if s > 0 and t > 0 and (s + t) < 2 * area * sign:
if thickness == 0:
if normal == 'x':
build_face_yz(level, i, j, numIDy, numIDz, rigidE, rigidH, ID)
elif normal == 'y':
build_face_xz(i, level, j, numIDx, numIDz, rigidE, rigidH, ID)
elif normal == 'z':
build_face_xy(i, j, level, numIDx, numIDy, rigidE, rigidH, ID)
else:
for k in range(level, level + thickness):
if normal == 'x':
build_voxel(k, i, j, numID, numIDx, numIDy, numIDz, averaging, solid, rigidE, rigidH, ID)
elif normal == 'y':
build_voxel(i, k, j, numID, numIDx, numIDy, numIDz, averaging, solid, rigidE, rigidH, ID)
elif normal == 'z':
build_voxel(i, j, k, numID, numIDx, numIDy, numIDz, averaging, solid, rigidE, rigidH, ID)
cpdef build_cylindrical_sector(float ctr1, float ctr2, int level, float sectorstartangle, float sectorangle, float radius, str normal, int thickness, float dx, float dy, float dz, int numID, int numIDx, int numIDy, int numIDz, bint averaging, np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidE, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID):
"""Builds #cylindrical_sector commands which sets values in the solid, rigid and ID arrays for a Yee voxel. It defines a sector of cylinder given by the direction of the axis of the coordinates of the cylinder face centre, depth coordinates, sector start point, sector angle, and sector radius. N.B Assumes sector start is always clockwise from sector end, i.e. sector defined in an anti-clockwise direction.
Args:
ctr1, ctr2 (float): Coordinates of centre of circle.
level (int): Third dimensional coordinate.
sectorstartangle (float): Angle (in radians) of start of sector.
sectorangle (float): Angle (in radians) that sector makes.
radius (float): Radius of the cylindrical sector.
normal (char): Normal direction to the plane of the cylindrical sector.
thickness (int): Thickness of the cylindrical sector.
dx, dy, dz (float): Spatial discretisation.
numID, numIDx, numIDy, numIDz (int): Numeric ID of material.
averaging (bint): Whether material property averging will occur for the object.
solid, rigidE, rigidH, ID (memoryviews): Access to solid, rigid and ID arrays.
"""
cdef int x1, x2, y1, y2, z1, z2, x, y, z
if normal == 'x':
# Angles are defined from zero degrees on the positive y-axis going towards positive z-axis
y1 = rvalue((ctr1 - radius)/dy)
y2 = rvalue((ctr1 + radius)/dy)
z1 = rvalue((ctr2 - radius)/dz)
z2 = rvalue((ctr2 + radius)/dz)
for y in range(y1, y2):
for z in range(z1, z2):
if is_inside_sector(y * dy + 0.5 * dy, z * dz + 0.5 * dz, ctr1, ctr2, sectorstartangle, sectorangle, radius):
if thickness == 0:
build_face_yz(level, y, z, numIDy, numIDz, rigidE, rigidH, ID)
else:
for x in range(level, level + thickness):
build_voxel(x, y, z, numID, numIDx, numIDy, numIDz, averaging, solid, rigidE, rigidH, ID)
elif normal == 'y':
# Angles are defined from zero degrees on the positive x-axis going towards positive z-axis
x1 = rvalue((ctr1 - radius)/dx)
x2 = rvalue((ctr1 + radius)/dx)
z1 = rvalue((ctr2 - radius)/dz)
z2 = rvalue((ctr2 + radius)/dz)
for x in range(x1, x2):
for z in range(z2, z2):
if is_inside_sector(x * dx + 0.5 * dx, z * dz + 0.5 * dz, ctr1, ctr2, sectorstartangle, sectorangle, radius):
if thickness == 0:
build_face_xz(x, level, z, numIDx, numIDz, rigidE, rigidH, ID)
else:
for y in range(level, level + thickness):
build_voxel(x, y, z, numID, numIDx, numIDy, numIDz, averaging, solid, rigidE, rigidH, ID)
elif normal == 'z':
# Angles are defined from zero degrees on the positive x-axis going towards positive y-axis
x1 = rvalue((ctr1 - radius)/dx)
x2 = rvalue((ctr1 + radius)/dx)
y1 = rvalue((ctr2 - radius)/dy)
y2 = rvalue((ctr2 + radius)/dy)
for x in range(x1, x2):
for y in range(y1, y2):
if is_inside_sector(x * dx + 0.5 * dx, y * dy + 0.5 * dy, ctr1, ctr2, sectorstartangle, sectorangle, radius):
if thickness == 0:
build_face_xy(x, y, level, numIDx, numIDy, rigidE, rigidH, ID)
else:
for z in range(level, level + thickness):
build_voxel(x, y, z, numID, numIDx, numIDy, numIDz, averaging, solid, rigidE, rigidH, ID)
cpdef build_box(int xs, int xf, int ys, int yf, int zs, int zf, int numID, int numIDx, int numIDy, int numIDz, bint averaging, np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidE, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID):
"""Builds #box commands which sets values in the solid, rigid and ID arrays.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box.
numID, numIDx, numIDy, numIDz (int): Numeric ID of material.
averaging (bint): Whether material property averging will occur for the object.
solid, rigidE, rigidH, ID (memoryviews): Access to solid, rigid and ID arrays.
"""
cdef int i, j, k
if averaging:
for i in range(xs, xf):
for j in range(ys, yf):
for k in range(zs, zf):
solid[i, j, k] = numID
unset_rigid_E(i, j, k, rigidE)
unset_rigid_H(i, j, k, rigidH)
else:
for i in range(xs, xf):
for j in range(ys, yf):
for k in range(zs, zf):
solid[i, j, k] = numID
set_rigid_E(i, j, k, rigidE)
set_rigid_H(i, j, k, rigidH)
for i in range(xs, xf):
for j in range(ys, yf + 1):
for k in range(zs, zf + 1):
ID[0, i, j, k] = numIDx
for i in range(xs, xf + 1):
for j in range(ys, yf):
for k in range(zs, zf + 1):
ID[1, i, j, k] = numIDy
for i in range(xs, xf + 1):
for j in range(ys, yf + 1):
for k in range(zs, zf):
ID[2, i, j, k] = numIDz
for i in range(xs, xf + 1):
for j in range(ys, yf):
for k in range(zs, zf):
ID[3, i, j, k] = numIDx
for i in range(xs, xf):
for j in range(ys, yf + 1):
for k in range(zs, zf):
ID[4, i, j, k] = numIDy
for i in range(xs, xf):
for j in range(ys, yf):
for k in range(zs, zf + 1):
ID[5, i, j, k] = numIDz
cpdef build_cylinder(float x1, float y1, float z1, float x2, float y2, float z2, float r, float dx, float dy, float dz, int numID, int numIDx, int numIDy, int numIDz, bint averaging, np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidE, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID):
"""Builds #cylinder commands which sets values in the solid, rigid and ID arrays for a Yee voxel.
Args:
x1, y1, z1, x2, y2, z2 (float): Coordinates of the centres of cylinder faces.
r (float): Radius of the cylinder.
dx, dy, dz (float): Spatial discretisation.
numID, numIDx, numIDy, numIDz (int): Numeric ID of material.
averaging (bint): Whether material property averging will occur for the object.
solid, rigidE, rigidH, ID (memoryviews): Access to solid, rigid and ID arrays.
"""
cdef int i, j, k, xs, xf, ys, yf, zs, zf
cdef float f1f2mag, f2f1mag, f1ptmag, f2ptmag, dot1, dot2, factor1, factor2, theta1, theta2, distance1, distance2
cdef bint build
cdef np.ndarray f1f2, f2f1, f1pt, f2pt
# Calculate a bounding box for the cylinder
if x1 < x2:
xs = rvalue((x1 - r) / dx) - 1
xf = rvalue((x2 + r) / dx) + 1
else:
xs = rvalue((x2 - r) / dx) - 1
xf = rvalue((x1 + r) / dx) + 1
if y1 < y2:
ys = rvalue((y1 - r) / dy) - 1
yf = rvalue((y2 + r) / dy) + 1
else:
ys = rvalue((y2 - r) / dy) - 1
yf = rvalue((y1 + r) / dy) + 1
if z1 < z2:
zs = rvalue((z1 - r) / dz) - 1
zf = rvalue((z2 + r) / dz) + 1
else:
zs = rvalue((z2 - r) / dz) - 1
zf = rvalue((z1 + r) / dz) + 1
# Set bounds to domain if they outside
if xs < 0:
xs = 0
if xf >= solid.shape[0]:
xf = solid.shape[0] - 1
if ys < 0:
ys = 0
if yf >= solid.shape[1]:
yf = solid.shape[1] - 1
if zs < 0:
zs = 0
if zf >= solid.shape[2]:
zf = solid.shape[2] - 1
# Vectors between centres of cylinder faces
f1f2 = np.array([x2 - x1, y2 - y1, z2 - z1], dtype=np.float32)
f2f1 = np.array([x1 - x2, y1 - y2, z1 - z2], dtype=np.float32)
# Magnitudes
f1f2mag = np.sqrt((f1f2*f1f2).sum(axis=0))
f2f1mag = np.sqrt((f2f1*f2f1).sum(axis=0))
for i in range(xs, xf):
for j in range(ys, yf):
for k in range(zs, zf):
# Build flag - default false, set to True if point is in cylinder
build = 0
# Vector from centre of first cylinder face to test point
f1pt = np.array([i * dx + 0.5 * dx - x1, j * dy + 0.5 * dy - y1, k * dz + 0.5 * dz - z1], dtype=np.float32)
# Vector from centre of second cylinder face to test point
f2pt = np.array([i * dx + 0.5 * dx - x2, j * dy + 0.5 * dy - y2, k * dz + 0.5 * dz - z2], dtype=np.float32)
# Magnitudes
f1ptmag = np.sqrt((f1pt*f1pt).sum(axis=0))
f2ptmag = np.sqrt((f2pt*f2pt).sum(axis=0))
# Dot products
dot1 = np.dot(f1f2, f1pt)
dot2 = np.dot(f2f1, f2pt)
if f1ptmag == 0 or f2ptmag == 0:
build = 1
else:
factor1 = dot1 / (f1f2mag * f1ptmag)
factor2 = dot2 / (f2f1mag * f2ptmag)
# Catch cases where either factor1 or factor2 are 1
try:
theta1 = np.arccos(factor1)
except FloatingPointError:
theta1 = 0
try:
theta2 = np.arccos(factor2)
except FloatingPointError:
theta2 = 0
distance1 = f1ptmag * np.sin(theta1)
distance2 = f2ptmag * np.sin(theta2)
if (distance1 <= r or distance2 <= r) and theta1 <= np.pi/2 and theta2 <= np.pi/2:
build = 1
if build:
build_voxel(i, j, k, numID, numIDx, numIDy, numIDz, averaging, solid, rigidE, rigidH, ID)
cpdef build_sphere(int xc, int yc, int zc, float r, float dx, float dy, float dz, int numID, int numIDx, int numIDy, int numIDz, bint averaging, np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidE, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID):
"""Builds #sphere commands which sets values in the solid, rigid and ID arrays for a Yee voxel.
Args:
xc, yc, zc (int): Cell coordinates of the centre of the sphere.
r (float): Radius of the sphere.
dx, dy, dz (float): Spatial discretisation.
numID, numIDx, numIDy, numIDz (int): Numeric ID of material.
averaging (bint): Whether material property averging will occur for the object.
solid, rigidE, rigidH, ID (memoryviews): Access to solid, rigid and ID arrays.
"""
cdef int i, j, k, xs, xf, ys, yf, zs, zf
# Calculate a bounding box for sphere
xs = rvalue(((xc * dx) - r) / dx) - 1
xf = rvalue(((xc * dx) + r) / dx) + 1
ys = rvalue(((yc * dy) - r) / dy) - 1
yf = rvalue(((yc * dy) + r) / dy) + 1
zs = rvalue(((zc * dz) - r) / dz) - 1
zf = rvalue(((zc * dz) + r) / dz) + 1
# Set bounds to domain if they outside
if xs < 0:
xs = 0
if xf >= solid.shape[0]:
xf = solid.shape[0] - 1
if ys < 0:
ys = 0
if yf >= solid.shape[1]:
yf = solid.shape[1] - 1
if zs < 0:
zs = 0
if zf >= solid.shape[2]:
zf = solid.shape[2] - 1
for i in range(xs, xf):
for j in range(ys, yf):
for k in range(zs, zf):
if np.sqrt((i - xc)**2 * dx**2 + (j - yc)**2 * dy**2 + (k - zc)**2 * dz**2) <= r:
build_voxel(i, j, k, numID, numIDx, numIDy, numIDz, averaging, solid, rigidE, rigidH, ID)

205
gprMax/geometry_views.py 普通文件
查看文件

@@ -0,0 +1,205 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import sys
import numpy as np
from struct import pack
from .utilities import rvalue
class GeometryView:
"""Views of the geometry of the model."""
if sys.byteorder == 'little':
byteorder = 'LittleEndian'
else:
byteorder = 'BigEndian'
def __init__(self, xs=None, ys=None, zs=None, xf=None, yf=None, zf=None, dx=None, dy=None, dz=None, filename=None, type=None):
"""
Args:
xs, xf, ys, yf, zs, zf (float): Extent of the volume.
dx, dy, dz (float): Spatial discretisation.
filename (str): Filename to save to.
type (str): Either 'n' for a per cell geometry view, or 'f' for a per cell edge geometry view.
"""
self.xs = xs
self.ys = ys
self.zs = zs
self.xf = xf
self.yf = yf
self.zf = zf
self.dx = dx
self.dy = dy
self.dz = dz
self.filename = filename
self.type = type
def write_file(self, modelrun, numbermodelruns, G):
"""Writes the geometry information to a VTK file. Either ImageData (.vti) for a per cell geometry view, or PolygonalData (.vtp) for a per cell edge geometry view.
Args:
modelrun (int): Current model run number.
numbermodelruns (int): Total number of model runs.
G (class): Grid class instance - holds essential parameters describing the model.
"""
# Construct filename from user-supplied name and model run number
if numbermodelruns == 1:
self.filename = G.inputdirectory + self.filename
else:
self.filename = G.inputdirectory + self.filename + '_' + str(modelrun)
# No Python 3 support for VTK at time of writing (03/2015)
self.vtk_nx = self.xf - self.xs
self.vtk_ny = self.yf - self.ys
self.vtk_nz = self.zf - self.zs
if self.type == 'n':
self.filename += '.vti'
# Calculate number of cells according to requested sampling
self.vtk_xscells = rvalue(self.xs / self.dx)
self.vtk_xfcells = rvalue(self.xf / self.dx)
self.vtk_yscells = rvalue(self.ys / self.dy)
self.vtk_yfcells = rvalue(self.yf / self.dy)
self.vtk_zscells = rvalue(self.zs / self.dz)
self.vtk_zfcells = rvalue(self.zf / self.dz)
with open(self.filename, 'wb') as f:
f.write('<?xml version="1.0"?>\n'.encode('utf-8'))
f.write('<VTKFile type="ImageData" version="1.0" byte_order="{}">\n'.format(GeometryView.byteorder).encode('utf-8'))
f.write('<ImageData WholeExtent="{} {} {} {} {} {}" Origin="0 0 0" Spacing="{:.3} {:.3} {:.3}">\n'.format(self.vtk_xscells, self.vtk_xfcells, self.vtk_yscells, self.vtk_yfcells, self.vtk_zscells, self.vtk_zfcells, self.dx * G.dx, self.dy * G.dy, self.dz * G.dz).encode('utf-8'))
f.write('<Piece Extent="{} {} {} {} {} {}">\n'.format(self.vtk_xscells, self.vtk_xfcells, self.vtk_yscells, self.vtk_yfcells, self.vtk_zscells, self.vtk_zfcells).encode('utf-8'))
f.write('<CellData Scalars="Material">\n'.encode('utf-8'))
f.write('<DataArray type="UInt32" Name="Material" format="appended" offset="0" />\n'.encode('utf-8'))
f.write('</CellData>\n</Piece>\n</ImageData>\n<AppendedData encoding="raw">\n_'.encode('utf-8'))
# Calculate number of bytes of appended data section
datasize = rvalue(np.dtype(np.uint32).itemsize * (self.vtk_nx / self.dx) * (self.vtk_ny / self.dy) * (self.vtk_nz / self.dz))
# Write number of bytes of appended data as UInt32
f.write(pack('I', datasize))
for k in range(self.zs, self.zf, self.dz):
for j in range(self.ys, self.yf, self.dy):
for i in range(self.xs, self.xf, self.dx):
f.write(pack('I', G.solid[i, j, k]))
f.write('\n</AppendedData>\n</VTKFile>'.encode('utf-8'))
# Write gprMax specific information which relates material name to material numeric identifier
f.write('\n\n<gprMax>\n'.encode('utf-8'))
for material in G.materials:
f.write('<Material name="{}">{}</Material>\n'.format(material.ID, material.numID).encode('utf-8'))
f.write('</gprMax>\n'.encode('utf-8'))
elif self.type == 'f':
self.filename += '.vtp'
vtk_numpoints = (self.vtk_nx + 1) * (self.vtk_ny + 1) * (self.vtk_nz + 1)
vtk_numpoint_components = 3
vtk_numlines = 2 * self.vtk_nx * self.vtk_ny + 2 * self.vtk_ny * self.vtk_nz + 2 * self.vtk_nx * self.vtk_nz + 3 * self.vtk_nx * self.vtk_ny * self.vtk_nz + self.vtk_nx + self.vtk_ny + self.vtk_nz
vtk_numline_components = 2;
vtk_connectivity_offset = (vtk_numpoints * vtk_numpoint_components * np.dtype(np.float32).itemsize) + np.dtype(np.uint32).itemsize
vtk_offsets_offset = vtk_connectivity_offset + (vtk_numlines * vtk_numline_components * np.dtype(np.uint32).itemsize) + np.dtype(np.uint32).itemsize
vtk_id_offset = vtk_offsets_offset + (vtk_numlines * np.dtype(np.uint32).itemsize) + np.dtype(np.uint32).itemsize
vtk_offsets_size = vtk_numlines
with open(self.filename, 'wb') as f:
f.write('<?xml version="1.0"?>\n'.encode('utf-8'))
f.write('<VTKFile type="PolyData" version="1.0" byte_order="{}">\n'.format(GeometryView.byteorder).encode('utf-8'))
f.write('<PolyData>\n<Piece NumberOfPoints="{}" NumberOfVerts="0" NumberOfLines="{}" NumberOfStrips="0" NumberOfPolys="0">\n'.format(vtk_numpoints, vtk_numlines).encode('utf-8'))
f.write('<Points>\n<DataArray type="Float32" NumberOfComponents="3" format="appended" offset="0" />\n</Points>\n'.encode('utf-8'))
f.write('<Lines>\n<DataArray type="UInt32" Name="connectivity" format="appended" offset="{}" />\n'.format(vtk_connectivity_offset).encode('utf-8'))
f.write('<DataArray type="UInt32" Name="offsets" format="appended" offset="{}" />\n</Lines>\n'.format(vtk_offsets_offset).encode('utf-8'))
f.write('<CellData Scalars="Material">\n<DataArray type="UInt32" Name="Material" format="appended" offset="{}" />\n</CellData>\n'.format(vtk_id_offset).encode('utf-8'))
f.write('</Piece>\n</PolyData>\n<AppendedData encoding="raw">\n_'.encode('utf-8'))
# Write points
datasize = np.dtype(np.float32).itemsize * vtk_numpoints * vtk_numpoint_components
f.write(pack('I', datasize))
for i in range(self.xs, self.xf + 1):
for j in range(self.ys, self.yf + 1):
for k in range(self.zs, self.zf + 1):
f.write(pack('fff', i * G.dx, j * G.dy, k * G.dz))
# Write cell type (line) connectivity for x components
datasize = np.dtype(np.uint32).itemsize * vtk_numlines * vtk_numline_components
f.write(pack('I', datasize))
vtk_x2 = (self.vtk_ny + 1) * (self.vtk_nz + 1)
for vtk_x1 in range(self.vtk_nx * (self.vtk_ny + 1) * (self.vtk_nz + 1)):
f.write(pack('II', vtk_x1, vtk_x2))
# print('x {} {}'.format(vtk_x1, vtk_x2))
vtk_x2 += 1
# Write cell type (line) connectivity for y components
vtk_ycnt1 = 1
vtk_ycnt2 = 0
for vtk_y1 in range((self.vtk_nx + 1) * (self.vtk_ny + 1) * (self.vtk_nz + 1)):
if vtk_y1 >= (vtk_ycnt1 * (self.vtk_ny + 1) * (self.vtk_nz + 1)) - (self.vtk_nz + 1) and vtk_y1 < vtk_ycnt1 * (self.vtk_ny + 1) * (self.vtk_nz + 1):
vtk_ycnt2 += 1
else:
vtk_y2 = vtk_y1 + self.vtk_nz + 1
f.write(pack('II', vtk_y1, vtk_y2))
# print('y {} {}'.format(vtk_y1, vtk_y2))
if vtk_ycnt2 == self.vtk_nz + 1:
vtk_ycnt1 += 1
vtk_ycnt2 = 0
# Write cell type (line) connectivity for z components
vtk_zcnt = self.vtk_nz
for vtk_z1 in range((self.vtk_nx + 1) * (self.vtk_ny + 1) * self.vtk_nz + (self.vtk_nx + 1) * (self.vtk_ny + 1)):
if vtk_z1 != vtk_zcnt:
vtk_z2 = vtk_z1 + 1
f.write(pack('II', vtk_z1, vtk_z2))
# print('z {} {}'.format(vtk_z1, vtk_z2))
else:
vtk_zcnt += self.vtk_nz + 1
# Write cell type (line) offsets
vtk_cell_pts = 2
datasize = np.dtype(np.uint32).itemsize * vtk_offsets_size
f.write(pack('I', datasize))
for vtk_offsets in range(vtk_cell_pts, (vtk_numline_components * vtk_numlines) + vtk_cell_pts, vtk_cell_pts):
f.write(pack('I', vtk_offsets))
# Write Ex, Ey, Ez values from ID array
datasize = np.dtype(np.uint32).itemsize * vtk_numlines
f.write(pack('I', datasize))
for i in range(self.xs, self.xf):
for j in range(self.ys, self.yf + 1):
for k in range(self.zs, self.zf + 1):
f.write(pack('I', G.ID[0, i, j, k]))
for i in range(self.xs, self.xf + 1):
for j in range(self.ys, self.yf):
for k in range(self.zs, self.zf + 1):
f.write(pack('I', G.ID[1, i, j, k]))
for i in range(self.xs, self.xf + 1):
for j in range(self.ys, self.yf + 1):
for k in range(self.zs, self.zf):
f.write(pack('I', G.ID[2, i, j, k]))
f.write('\n</AppendedData>\n</VTKFile>'.encode('utf-8'))
# Write gprMax specific information which relates material name to material numeric identifier
f.write('\n\n<gprMax>\n'.encode('utf-8'))
for material in G.materials:
f.write('<Material name="{}">{}</Material>\n'.format(material.ID, material.numID).encode('utf-8'))
f.write('</gprMax>\n'.encode('utf-8'))

396
gprMax/gprMax.py 普通文件
查看文件

@@ -0,0 +1,396 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
"""gprMax.gprMax: provides entry point main()."""
# Set the version number here
__version__ = '3.0.0b1'
versionname = ' (Bowmore)'
import sys, os, datetime, itertools, argparse
if sys.platform != 'win32':
import resource
from time import perf_counter
from copy import deepcopy
from enum import Enum
import numpy as np
from .constants import e0
from .exceptions import CmdInputError
from .fields_output import prepare_output_file, write_output
from .fields_update import *
from .grid import FDTDGrid
from .input_cmds_geometry import process_geometrycmds
from .input_cmds_file import python_code_blocks, write_python_processed, check_cmd_names
from .input_cmds_multiuse import process_multicmds
from .input_cmds_singleuse import process_singlecmds
from .materials import Material
from .pml_call_updates import update_pml_electric, update_pml_magnetic
from .pml import build_pml, calculate_initial_pml_params
from .utilities import update_progress, logo, human_size
from .yee_cell_build import build_ex_component, build_ey_component, build_ez_component, build_hx_component, build_hy_component, build_hz_component
def main():
"""This is the main function for gprMax."""
# Print gprMax logo, version, and licencing/copyright information
logo(__version__ + versionname)
# Parse command line arguments
parser = argparse.ArgumentParser(prog='gprMax', description='Electromagnetic modelling software based on the Finite-Difference Time-Domain (FDTD) method')
parser.add_argument('inputfile', help='path to and name of inputfile')
parser.add_argument('--geometry-only', action='store_true', default=False, help='only build model and produce geometry files')
parser.add_argument('-n', default=1, type=int, help='number of times to run the input file')
parser.add_argument('-mpi', action='store_true', default=False, help='switch on MPI')
parser.add_argument('--commands-python', action='store_true', default=False, help='write an input file after any Python code blocks in the original input file have been processed')
args = parser.parse_args()
numbermodelruns = args.n
inputdirectory = os.path.dirname(os.path.abspath(args.inputfile)) + os.sep
inputfile = inputdirectory + os.path.basename(args.inputfile)
print('Model input file: {}\n'.format(inputfile))
# Mixed mode MPI/OpenMP - task farm for model runs with MPI; each model parallelised with OpenMP
if args.mpi:
from mpi4py import MPI
# Define MPI message tags
tags = Enum('tags', {'READY': 0, 'DONE': 1, 'EXIT': 2, 'START': 3})
# Initializations and preliminaries
comm = MPI.COMM_WORLD # get MPI communicator object
size = comm.size # total number of processes
rank = comm.rank # rank of this process
status = MPI.Status() # get MPI status object
name = MPI.Get_processor_name() # get name of processor/host
if rank == 0:
# Master process
modelrun = 1
numworkers = size - 1
closedworkers = 0
print('Master: PID {} on {} using {} workers.'.format(os.getpid(), name, numworkers))
while closedworkers < numworkers:
data = comm.recv(source=MPI.ANY_SOURCE, tag=MPI.ANY_TAG, status=status)
source = status.Get_source()
tag = status.Get_tag()
if tag == tags.READY.value:
# Worker is ready, so send it a task
if modelrun < numbermodelruns + 1:
comm.send(modelrun, dest=source, tag=tags.START.value)
print('Master: sending model {} to worker {}.'.format(modelrun, source))
modelrun += 1
else:
comm.send(None, dest=source, tag=tags.EXIT.value)
elif tag == tags.DONE.value:
print('Worker {}: completed.'.format(source))
elif tag == tags.EXIT.value:
print('Worker {}: exited.'.format(source))
closedworkers += 1
else:
# Worker process
print('Worker {}: PID {} on {} requesting {} OpenMP threads.'.format(rank, os.getpid(), name, os.environ.get('OMP_NUM_THREADS')))
while True:
comm.send(None, dest=0, tag=tags.READY.value)
# Receive a model number to run from the master
modelrun = comm.recv(source=0, tag=MPI.ANY_TAG, status=status)
tag = status.Get_tag()
if tag == tags.START.value:
# Run a model
run_model(args, modelrun, numbermodelruns, inputfile, inputdirectory)
comm.send(None, dest=0, tag=tags.DONE.value)
elif tag == tags.EXIT.value:
break
comm.send(None, dest=0, tag=tags.EXIT.value)
# Standard behaviour - models run serially; each model parallelised with OpenMP
else:
tsimstart = perf_counter()
for modelrun in range(1, numbermodelruns + 1):
run_model(args, modelrun, numbermodelruns, inputfile, inputdirectory)
tsimend = perf_counter()
print('\nTotal simulation time [HH:MM:SS]: {}'.format(datetime.timedelta(seconds=int(tsimend - tsimstart))))
print('\nSimulation completed.\n{}\n'.format(65*'*'))
def run_model(args, modelrun, numbermodelruns, inputfile, inputdirectory):
"""Runs a model - processes the input file; builds the Yee cells; calculates update coefficients; runs main FDTD loop.
Args:
args (dict): Namespace with command line arguments
modelrun (int): Current model run number.
numbermodelruns (int): Total number of model runs.
inputfile (str): Name of the input file to open.
inputdirectory (str): Path to the directory containing the inputfile.
"""
# Process any user input Python commands
processedlines = python_code_blocks(inputfile, modelrun, numbermodelruns, inputdirectory)
# Write a file containing the input commands after Python blocks have been processed
if args.commands_python:
write_python_processed(inputfile, modelrun, numbermodelruns, processedlines)
# Check validity of command names & that essential commands are present
singlecmds, multicmds, geometry = check_cmd_names(processedlines)
# Initialise an instance of the FDTDGrid class
G = FDTDGrid()
G.inputdirectory = inputdirectory
# Process parameters for commands that can only occur once in the model
process_singlecmds(singlecmds, multicmds, G)
# Process parameters for commands that can occur multiple times in the model
process_multicmds(multicmds, G)
# Initialise an array for volumetric material IDs (solid), boolean arrays for specifying materials not to be averaged (rigid),
# an array for cell edge IDs (ID), and arrays for the field components.
G.initialise_std_arrays()
# Process the geometry commands in the order they were given
tinputprocstart = perf_counter()
process_geometrycmds(geometry, G)
tinputprocend = perf_counter()
print('\nInput file processed in [HH:MM:SS]: {}'.format(datetime.timedelta(seconds=int(tinputprocend - tinputprocstart))))
# Build the PML and calculate initial coefficients
build_pml(G)
calculate_initial_pml_params(G)
# Build the model, i.e. set the material properties (ID) for every edge of every Yee cell
tbuildstart = perf_counter()
build_ex_component(G.solid, G.rigidE, G.ID, G)
build_ey_component(G.solid, G.rigidE, G.ID, G)
build_ez_component(G.solid, G.rigidE, G.ID, G)
build_hx_component(G.solid, G.rigidH, G.ID, G)
build_hy_component(G.solid, G.rigidH, G.ID, G)
build_hz_component(G.solid, G.rigidH, G.ID, G)
tbuildend = perf_counter()
print('\nModel built in [HH:MM:SS]: {}'.format(datetime.timedelta(seconds=int(tbuildend - tbuildstart))))
# Process any voltage sources that have resistance to create a new material at the source location
# that adds the voltage source conductivity to the underlying parameters
if G.voltagesources:
for source in G.voltagesources:
if source.resistance != 0:
if source.polarisation == 'x':
requirednumID = G.ID[0, source.positionx, source.positiony, source.positionz]
material = next(x for x in G.materials if x.numID == requirednumID)
newmaterial = deepcopy(material)
newmaterial.ID = material.ID + '|VoltageSource_' + str(source.resistance)
newmaterial.numID = len(G.materials)
newmaterial.se += G.dx / (source.resistance * G.dy * G.dz)
newmaterial.average = False
G.ID[0, source.positionx, source.positiony, source.positionz] = newmaterial.numID
elif source.polarisation == 'y':
requirednumID = G.ID[1, source.positionx, source.positiony, source.positionz]
material = next(x for x in G.materials if x.numID == requirednumID)
newmaterial = deepcopy(material)
newmaterial.ID = material.ID + '|VoltageSource_' + str(source.resistance)
newmaterial.numID = len(G.materials)
newmaterial.se += G.dy / (source.resistance * G.dx * G.dz)
newmaterial.average = False
G.ID[1, source.positionx, source.positiony, source.positionz] = newmaterial.numID
elif source.polarisation == 'z':
requirednumID = G.ID[2, source.positionx, source.positiony, source.positionz]
material = next(x for x in G.materials if x.numID == requirednumID)
newmaterial = deepcopy(material)
newmaterial.ID = material.ID + '|VoltageSource_' + str(source.resistance)
newmaterial.numID = len(G.materials)
newmaterial.se += G.dz / (source.resistance * G.dx * G.dy)
newmaterial.average = False
G.ID[2, source.positionx, source.positiony, source.positionz] = newmaterial.numID
G.materials.append(newmaterial)
# Initialise arrays for storing temporary values if there are any dispersive materials
if Material.maxpoles != 0:
G.initialise_dispersive_arrays(len(G.materials))
# Initialise arrays of update coefficients to pass to update functions
G.initialise_std_updatecoeff_arrays(len(G.materials))
# Calculate update coefficients, store in arrays, and list materials in model
if G.messages:
print('\nMaterials:\n')
print('ID\tName\t\tProperties')
print('{}'.format('-'*50))
for x, material in enumerate(G.materials):
material.calculate_update_coeffsE(G)
material.calculate_update_coeffsH(G)
G.updatecoeffsE[x, :] = material.CA, material.CBx, material.CBy, material.CBz, material.srce
G.updatecoeffsH[x, :] = material.DA, material.DBx, material.DBy, material.DBz, material.srcm
if Material.maxpoles != 0:
z = 0
for y in range(Material.maxpoles):
G.updatecoeffsdispersive[x, z:z+3] = e0 * material.eqt2[y], material.eqt[y], material.zt[y]
z += 3
if G.messages:
if material.deltaer and material.tau:
tmp = 'delta_epsr={}, tau={} secs; '.format(','.join('%4.2f' % deltaer for deltaer in material.deltaer), ','.join('%4.3e' % tau for tau in material.tau))
else:
tmp = ''
if material.average:
dielectricsmoothing = 'dielectric smoothing permitted.'
else:
dielectricsmoothing = 'dielectric smoothing not permitted.'
print('{:3}\t{:12}\tepsr={:4.2f}, sig={:.3e} S/m; mur={:4.2f}, sig*={:.3e} S/m; '.format(material.numID, material.ID, material.er, material.se, material.mr, material.sm) + tmp + dielectricsmoothing)
# Write files for any geometry views
if G.geometryviews:
tgeostart = perf_counter()
for geometryview in G.geometryviews:
geometryview.write_file(modelrun, numbermodelruns, G)
tgeoend = perf_counter()
print('\nGeometry file(s) written in [HH:MM:SS]: {}'.format(datetime.timedelta(seconds=int(tgeoend - tgeostart))))
# Run simulation if not doing only geometry
if not args.geometry_only:
# Prepare any snapshot files
if G.snapshots:
for snapshot in G.snapshots:
snapshot.prepare_file(modelrun, numbermodelruns, G)
# Prepare output file
inputfileparts = inputfile.split('.')
if numbermodelruns == 1:
outputfile = inputfileparts[0] + '.out'
else:
outputfile = inputfileparts[0] + str(modelrun) + '.out'
sys.stdout.write('\nOutput to file: {}\n'.format(outputfile))
sys.stdout.flush()
f = prepare_output_file(outputfile, G)
# Adjust position of sources and receivers if required
if G.txstepx > 0 or G.txstepy > 0 or G.txstepz > 0:
for source in itertools.chain(G.hertziandipoles, G.magneticdipoles, G.voltagesources):
source.positionx += (modelrun - 1) * G.txstepx
source.positiony += (modelrun - 1) * G.txstepy
source.positionz += (modelrun - 1) * G.txstepz
if G.rxstepx > 0 or G.rxstepy > 0 or G.rxstepz > 0:
for receiver in G.rxs:
receiver.positionx += (modelrun - 1) * G.rxstepx
receiver.positiony += (modelrun - 1) * G.rxstepy
receiver.positionz += (modelrun - 1) * G.rxstepz
##################################
# Main FDTD calculation loop #
##################################
tsolvestart = perf_counter()
# Absolute time
abstime = 0
for timestep in range(G.iterations):
if timestep == 0:
tstepstart = perf_counter()
# Write field outputs to file
write_output(f, timestep, G.Ex, G.Ey, G.Ez, G.Hx, G.Hy, G.Hz, G)
# Write any snapshots to file
if G.snapshots:
for snapshot in G.snapshots:
if snapshot.time == timestep + 1:
snapshot.write_snapshot(G.Ex, G.Ey, G.Ez, G.Hx, G.Hy, G.Hz, G)
# Update electric field components
# If there are any dispersive materials do 1st part of dispersive update. It is split into two parts as it requires present and updated electric field values.
if Material.maxpoles == 1:
update_ex_dispersive_1pole_A(G.nx, G.ny, G.nz, G.nthreads, G.updatecoeffsE, G.updatecoeffsdispersive, G.ID, G.Tx, G.Ex, G.Hy, G.Hz)
update_ey_dispersive_1pole_A(G.nx, G.ny, G.nz, G.nthreads, G.updatecoeffsE, G.updatecoeffsdispersive, G.ID, G.Ty, G.Ey, G.Hx, G.Hz)
update_ez_dispersive_1pole_A(G.nx, G.ny, G.nz, G.nthreads, G.updatecoeffsE, G.updatecoeffsdispersive, G.ID, G.Tz, G.Ez, G.Hx, G.Hy)
elif Material.maxpoles > 1:
update_ex_dispersive_multipole_A(G.nx, G.ny, G.nz, G.nthreads, Material.maxpoles, G.updatecoeffsE, G.updatecoeffsdispersive, G.ID, G.Tx, G.Ex, G.Hy, G.Hz)
update_ey_dispersive_multipole_A(G.nx, G.ny, G.nz, G.nthreads, Material.maxpoles, G.updatecoeffsE, G.updatecoeffsdispersive, G.ID, G.Ty, G.Ey, G.Hx, G.Hz)
update_ez_dispersive_multipole_A(G.nx, G.ny, G.nz, G.nthreads, Material.maxpoles, G.updatecoeffsE, G.updatecoeffsdispersive, G.ID, G.Tz, G.Ez, G.Hx, G.Hy)
# Otherwise all materials are non-dispersive so do standard update
else:
update_ex(G.nx, G.ny, G.nz, G.nthreads, G.updatecoeffsE, G.ID, G.Ex, G.Hy, G.Hz)
update_ey(G.nx, G.ny, G.nz, G.nthreads, G.updatecoeffsE, G.ID, G.Ey, G.Hx, G.Hz)
update_ez(G.nx, G.ny, G.nz, G.nthreads, G.updatecoeffsE, G.ID, G.Ez, G.Hx, G.Hy)
# Update electric field components with the PML correction
update_pml_electric(G)
# Update electric field components with electric sources
if G.voltagesources:
for v in G.voltagesources:
v.update_fields(abstime, timestep, G.updatecoeffsE, G.ID, G.Ex, G.Ey, G.Ez, G)
if G.hertziandipoles: # Update any Hertzian dipole sources last
for h in G.hertziandipoles:
h.update_fields(abstime, timestep, G.updatecoeffsE, G.ID, G.Ex, G.Ey, G.Ez, G)
# If there are any dispersive materials do 2nd part of dispersive update. It is split into two parts as it requires present and updated electric field values. Therefore it can only be completely updated after the electric field has been updated by the PML and source updates.
if Material.maxpoles == 1:
update_ex_dispersive_1pole_B(G.nx, G.ny, G.nz, G.nthreads, G.updatecoeffsdispersive, G.ID, G.Tx, G.Ex)
update_ey_dispersive_1pole_B(G.nx, G.ny, G.nz, G.nthreads, G.updatecoeffsdispersive, G.ID, G.Ty, G.Ey)
update_ez_dispersive_1pole_B(G.nx, G.ny, G.nz, G.nthreads, G.updatecoeffsdispersive, G.ID, G.Tz, G.Ez)
elif Material.maxpoles > 1:
update_ex_dispersive_multipole_B(G.nx, G.ny, G.nz, G.nthreads, Material.maxpoles, G.updatecoeffsdispersive, G.ID, G.Tx, G.Ex)
update_ey_dispersive_multipole_B(G.nx, G.ny, G.nz, G.nthreads, Material.maxpoles, G.updatecoeffsdispersive, G.ID, G.Ty, G.Ey)
update_ez_dispersive_multipole_B(G.nx, G.ny, G.nz, G.nthreads, Material.maxpoles, G.updatecoeffsdispersive, G.ID, G.Tz, G.Ez)
# Increment absolute time value
abstime += 0.5 * G.dt
# Update magnetic field components
update_hx(G.nx, G.ny, G.nz, G.nthreads, G.updatecoeffsH, G.ID, G.Hx, G.Ey, G.Ez)
update_hy(G.nx, G.ny, G.nz, G.nthreads, G.updatecoeffsH, G.ID, G.Hy, G.Ex, G.Ez)
update_hz(G.nx, G.ny, G.nz, G.nthreads, G.updatecoeffsH, G.ID, G.Hz, G.Ex, G.Ey)
# Update magnetic field components with the PML correction
update_pml_magnetic(G)
# Update magnetic field components with magnetic sources
if G.magneticdipoles:
for m in G.magneticdipoles:
m.update_fields(abstime, timestep, G.updatecoeffsH, G.ID, G.Hx, G.Hy, G.Hz, G)
# Increment absolute time value
abstime += 0.5 * G.dt
# Calculate time for two iterations, used to estimate overall runtime
if timestep == 1:
tstepend = perf_counter()
runtime = datetime.timedelta(seconds=int((tstepend - tstepstart) / 2 * G.iterations))
sys.stdout.write('Estimated runtime [HH:MM:SS]: {}\n'.format(runtime))
sys.stdout.write('Solving for model run {} of {}...\n'.format(modelrun, numbermodelruns))
sys.stdout.flush()
elif timestep > 1:
update_progress((timestep + 1) / G.iterations)
# Close output file
f.close()
tsolveend = perf_counter()
print('\n\nSolving took [HH:MM:SS]:'.format(datetime.timedelta(seconds=int(tsolveend - tsolvestart))))
if sys.platform != 'win32':
print('Peak memory (approx) required: {}'.format(human_size(resource.getrusage(resource.RUSAGE_SELF).ru_maxrss, False)))

102
gprMax/grid.py 普通文件
查看文件

@@ -0,0 +1,102 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import numpy as np
from .constants import floattype, complextype
from .materials import Material
class FDTDGrid():
"""Holds attributes associated with the entire grid. A convenient way for accessing regularly used parameters."""
def __init__(self):
self.inputdirectory = ''
self.title = ''
self.messages = True
self.nx = 0
self.ny = 0
self.nz = 0
self.dx = 0
self.dy = 0
self.dz = 0
self.dt = 0
self.iterations = 0
self.timewindow = 0
self.nthreads = 0
self.cfs = []
self.pmlthickness = (10, 10, 10, 10, 10, 10)
self.pmls = []
self.materials = []
self.mixingmodels = []
self.averagevolumeobjects = True
self.fractalvolumes = []
self.geometryviews = []
self.waveforms = []
self.voltagesources = []
self.hertziandipoles = []
self.magneticdipoles = []
self.txs = [] # Only used for converting old output files to HDF5 format
self.txstepx = 0
self.txstepy = 0
self.txstepz = 0
self.rxstepx = 0
self.rxstepy = 0
self.rxstepz = 0
self.rxs = []
self.snapshots = []
def initialise_std_arrays(self):
"""Initialise an array for volumetric material IDs (solid); boolean arrays for specifying whether materials can have dielectric smoothing (rigid);
an array for cell edge IDs (ID); and arrays for the electric and magnetic field components. Solid and ID arrays are initialised to free_space (one); rigid arrays
to allow dielectric smoothing (zero).
"""
self.solid = np.ones((self.nx + 1, self.ny + 1, self.nz + 1), dtype=np.uint32)
self.rigidE = np.zeros((12, self.nx + 1, self.ny + 1, self.nz + 1), dtype=np.int8)
self.rigidH = np.zeros((6, self.nx + 1, self.ny + 1, self.nz + 1), dtype=np.int8)
self.ID = np.ones((6, self.nx + 1, self.ny + 1, self.nz + 1), dtype=np.uint32)
self.Ex = np.zeros((self.nx, self.ny + 1, self.nz + 1), dtype=floattype)
self.Ey = np.zeros((self.nx + 1, self.ny, self.nz + 1), dtype=floattype)
self.Ez = np.zeros((self.nx + 1, self.ny + 1, self.nz), dtype=floattype)
self.Hx = np.zeros((self.nx + 1, self.ny, self.nz), dtype=floattype)
self.Hy = np.zeros((self.nx, self.ny + 1, self.nz), dtype=floattype)
self.Hz = np.zeros((self.nx, self.ny, self.nz + 1), dtype=floattype)
def initialise_std_updatecoeff_arrays(self, nummaterials):
"""Initialise arrays for storing update coefficients.
Args:
nummaterials (int): Number of materials present in the model.
"""
self.updatecoeffsE = np.zeros((nummaterials, 5), dtype=floattype)
self.updatecoeffsH = np.zeros((nummaterials, 5), dtype=floattype)
def initialise_dispersive_arrays(self, nummaterials):
"""Initialise arrays for storing coefficients when there are dispersive materials present.
Args:
nummaterials (int): Number of materials present in the model.
"""
self.Tx = np.zeros((Material.maxpoles, self.nx, self.ny + 1, self.nz + 1), dtype=complextype)
self.Ty = np.zeros((Material.maxpoles, self.nx + 1, self.ny, self.nz + 1), dtype=complextype)
self.Tz = np.zeros((Material.maxpoles, self.nx + 1, self.ny + 1, self.nz), dtype=complextype)
self.updatecoeffsdispersive = np.zeros((nummaterials, 3 * Material.maxpoles), dtype=complextype)

174
gprMax/input_cmds_file.py 普通文件
查看文件

@@ -0,0 +1,174 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import sys, os
from .constants import c, e0, m0, z0
from .exceptions import CmdInputError
from .utilities import ListStream
def python_code_blocks(inputfile, modelrun, numbermodelruns, inputdirectory):
"""Looks for and processes any Python code found in the input file. It will ignore any lines that are comments, i.e. begin with a double hash (##), and any blank lines. It will also ignore any lines that do not begin with a hash (#) after it has processed Python commands.
Args:
inputfile (str): Name of the input file to open.
modelrun (int): Current model run number.
numbermodelruns (int): Total number of model runs.
inputdirectory (str): Directory containing input file.
Returns:
processedlines (list): Input commands after Python processing.
"""
with open(inputfile, 'r') as f:
# Strip out any newline characters and comments that must begin with double hashes
inputlines = [line.rstrip() for line in f if(not line.startswith('##') and line.rstrip('\n'))]
# List to hold final processed commands
processedlines = []
# Separate namespace for users Python code blocks to use; pre-populated some standard constants and the
# current model run number and total number of model runs
usernamespace = {'c': c, 'e0': e0, 'm0': m0, 'z0': z0, 'current_model_run': modelrun, 'number_model_runs': numbermodelruns, 'inputdirectory': inputdirectory}
print('Constants/variables available for Python scripting: {}\n'.format(usernamespace))
x = 0
while(x < len(inputlines)):
if(inputlines[x].startswith('#python:')):
# String to hold Python code to be executed
pythoncode = ''
x += 1
while not inputlines[x].startswith('#end_python:'):
# Add all code in current code block to string
pythoncode += inputlines[x] + '\n'
x += 1
if x == len(inputlines):
raise CmdInputError('Cannot find the end of the Python code block, i.e. missing #end_python: command.')
# Compile code for faster execution
pythoncompiledcode = compile(pythoncode, '<string>', 'exec')
# Redirect stdio to a ListStream
sys.stdout = codeout = ListStream()
# Execute code block & make available only usernamespace
exec(pythoncompiledcode, usernamespace)
# Now strip out any lines that don't begin with a hash command
codeproc = [line + ('\n') for line in codeout.data if(line.startswith('#'))]
# Add processed Python code to list
processedlines.extend(codeproc)
x += 1
elif(inputlines[x].startswith('#')):
# Add gprMax command to list
inputlines[x] += ('\n')
processedlines.append(inputlines[x])
x += 1
else:
x += 1
sys.stdout = sys.__stdout__ # Reset stdio
return processedlines
def write_python_processed(inputfile, modelrun, numbermodelruns, processedlines):
"""Writes input commands to file after Python processing.
Args:
inputfile (str): Name of the input file to open.
modelrun (int): Current model run number.
numbermodelruns (int): Total number of model runs.
processedlines (list): Input commands after Python processing.
"""
if numbermodelruns == 1:
processedfile = os.path.splitext(inputfile)[0] + '_proc.in'
else:
processedfile = os.path.splitext(inputfile)[0] + str(modelrun) + '_proc.in'
with open(processedfile, 'w') as f:
for item in processedlines:
f.write('{}'.format(item))
print('Written input commands after Python processing to file: {}\n'.format(processedfile))
def check_cmd_names(processedlines):
"""Checks the validity of commands, i.e. are they gprMax commands, and that all essential commands are present.
Args:
processedlines (list): Input commands after Python processing.
Returns:
singlecmds (dict): Commands that can only occur once in the model.
multiplecmds (dict): Commands that can have multiple instances in the model.
geometry (list): Geometry commands in the model.
"""
# Dictionaries of available commands
# Essential commands neccessary to run a gprMax model
essentialcmds = ['#domain', '#dx_dy_dz', '#time_window']
# Commands that there should only be one instance of in a model
singlecmds = dict.fromkeys(['#domain', '#dx_dy_dz', '#time_window', '#title', '#messages', '#num_threads', '#time_step_stability_factor', '#time_step_limit_type', '#pml_cells', '#excitation_file', '#src_steps', '#rx_steps'], 'None')
# Commands that there can be multiple instances of in a model - these will be lists within the dictionary
multiplecmds = {key: [] for key in ['#geometry_view', '#material', '#soil_peplinski', '#add_dispersion_debye', '#add_dispersion_lorenz', '#add_dispersion_drude', '#waveform', '#voltage_source', '#hertzian_dipole', '#magnetic_dipole', '#rx', '#rx_box', '#snapshot', '#pml_cfs']}
# Geometry object building commands that there can be multiple instances of in a model - these will be lists within the dictionary
geometrycmds = ['#edge', '#plate', '#triangle', '#box', '#sphere', '#cylinder', '#cylindrical_sector', '#fractal_box', '#add_surface_roughness', '#add_surface_water', '#add_grass']
# List to store all geometry object commands in order from input file
geometry = []
# Check if command names are valid, if essential commands are present, and add command parameters to appropriate dictionary values or lists
countessentialcmds = 0
lindex = 0
while(lindex < len(processedlines)):
cmd = processedlines[lindex].split(':')
cmdname = cmd[0].lower()
# Check if command name is valid
if cmdname not in essentialcmds and cmdname not in singlecmds and cmdname not in multiplecmds and cmdname not in geometrycmds:
raise CmdInputError('Your input file contains the invalid command: ' + cmdname)
# Count essential commands
if cmdname in essentialcmds:
countessentialcmds += 1
# Assign command parameters as values to dictionary keys
if cmdname in singlecmds:
if singlecmds[cmdname] == 'None':
singlecmds[cmdname] = cmd[1].strip(' \t\n')
else:
raise CmdInputError('You can only have one ' + cmdname + ' commmand in your model')
elif cmdname in multiplecmds:
multiplecmds[cmdname].append(cmd[1].strip(' \t\n'))
elif cmdname in geometrycmds:
geometry.append(processedlines[lindex].strip(' \t\n'))
lindex += 1
if (countessentialcmds < len(essentialcmds)):
raise CmdInputError('Your input file is missing essential gprMax commands required to run a model. Essential commands are: ' + ', '.join(essentialcmds))
return singlecmds, multiplecmds, geometry

1438
gprMax/input_cmds_geometry.py 普通文件
查看文件

文件差异内容过多而无法显示 加载差异

620
gprMax/input_cmds_multiuse.py 普通文件
查看文件

@@ -0,0 +1,620 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
from .exceptions import CmdInputError
from .geometry_views import GeometryView
from .materials import Material, PeplinskiSoil
from .pml import CFS
from .receivers import Rx
from .snapshots import Snapshot
from .sources import VoltageSource, HertzianDipole, MagneticDipole
from .utilities import rvalue
from .waveforms import Waveform
def process_multicmds(multicmds, G):
"""Checks the validity of command parameters and creates instances of classes of parameters.
Args:
multicmds (dict): Commands that can have multiple instances in the model.
G (class): Grid class instance - holds essential parameters describing the model.
"""
# Waveform definitions
cmdname = '#waveform'
if multicmds[cmdname] != 'None':
for cmdinstance in multicmds[cmdname]:
tmp = cmdinstance.split()
if len(tmp) != 4:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires exactly four parameters')
if tmp[0].lower() not in Waveform.waveformtypes:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' must have one of the following types {}'.format(','.join(Waveform.waveformtypes)))
if float(tmp[2]) <= 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires an excitation frequency value of greater than zero')
if any(x.ID == tmp[3] for x in G.waveforms):
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' with ID {} already exists'.format(tmp[2]))
w = Waveform()
w.ID = tmp[3]
w.type = tmp[0].lower()
w.amp = float(tmp[1])
w.freq = float(tmp[2])
if G.messages:
print('Waveform {} of type {} with amplitude {}, frequency {:.3e} Hz created.'.format(w.ID, w.type, w.amp, w.freq))
G.waveforms.append(w)
# Voltage source
cmdname = '#voltage_source'
if multicmds[cmdname] != 'None':
for cmdinstance in multicmds[cmdname]:
tmp = cmdinstance.split()
if len(tmp) < 6:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires at least six parameters')
# Check polarity & position parameters
if tmp[0].lower() not in ('x', 'y', 'z'):
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' polarisation must be x, y, or z')
positionx = rvalue(float(tmp[1])/G.dx)
positiony = rvalue(float(tmp[2])/G.dy)
positionz = rvalue(float(tmp[3])/G.dz)
resistance = float(tmp[4])
if positionx < 0 or positionx > G.nx:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' x-coordinate is not within the model domain')
if positiony < 0 or positiony > G.ny:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' y-coordinate is not within the model domain')
if positionz < 0 or positionz > G.nz:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' z-coordinate is not within the model domain')
if resistance < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires a source resistance of zero or greater')
# Check if there is a waveformID in the waveforms list
if not any(x.ID == tmp[5] for x in G.waveforms):
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' there is no waveform with the identifier {}'.format(tmp[5]))
v = VoltageSource()
v.polarisation= tmp[0]
v.positionx = positionx
v.positiony = positiony
v.positionz = positionz
v.resistance = resistance
if len(tmp) > 6:
# Check source start & source remove time parameters
start = float(tmp[6])
stop = float(tmp[7])
if start < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' delay of the initiation of the source should not be less than zero')
if stop < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' time to remove the source should not be less than zero')
if stop - start <= 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' duration of the source should not be zero or less')
v.start = start
if stop > G.timewindow:
v.stop = G.timewindow
v.waveformID = tmp[8]
tmp = ' start time {:.3e} secs, finish time {:.3e} secs '.format(v.start, v.stop)
else:
v.start = 0
v.stop = G.timewindow
v.waveformID = tmp[5]
tmp = ' '
if G.messages:
print('Voltage source with polarity {} at {:.3f}m, {:.3f}m, {:.3f}m, resistance {:.1f} Ohms,'.format(v.polarisation, v.positionx * G.dx, v.positiony * G.dy, v.positionz * G.dz, v.resistance) + tmp + 'using waveform {} created.'.format(v.waveformID))
G.voltagesources.append(v)
# Hertzian dipole
cmdname = '#hertzian_dipole'
if multicmds[cmdname] != 'None':
for cmdinstance in multicmds[cmdname]:
tmp = cmdinstance.split()
if len(tmp) != 5:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires at least five parameters')
# Check polarity & position parameters
if tmp[0].lower() not in ('x', 'y', 'z'):
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' polarisation must be x, y, or z')
positionx = rvalue(float(tmp[1])/G.dx)
positiony = rvalue(float(tmp[2])/G.dy)
positionz = rvalue(float(tmp[3])/G.dz)
if positionx < 0 or positionx > G.nx:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' x-coordinate is not within the model domain')
if positiony < 0 or positiony > G.ny:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' y-coordinate is not within the model domain')
if positionz < 0 or positionz > G.nz:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' z-coordinate is not within the model domain')
# Check if there is a waveformID in the waveforms list
if not any(x.ID == tmp[4] for x in G.waveforms):
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' there is no waveform with the identifier {}'.format(tmp[4]))
h = HertzianDipole()
h.polarisation = tmp[0]
h.positionx = positionx
h.positiony = positiony
h.positionz = positionz
if len(tmp) > 6:
# Check source start & source remove time parameters
start = float(tmp[6])
stop = float(tmp[7])
if start < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' delay of the initiation of the source should not be less than zero')
if stop < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' time to remove the source should not be less than zero')
if stop - start <= 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' duration of the source should not be zero or less')
h.start = start
if stop > G.timewindow:
h.stop = G.timewindow
h.waveformID = tmp[7]
tmp = ' start time {:.3e} secs, finish time {:.3e} secs '.format(h.start, h.stop)
else:
h.start = 0
h.stop = G.timewindow
h.waveformID = tmp[4]
tmp = ' '
if G.messages:
print('Hertzian dipole with polarity {} at {:.3f}m, {:.3f}m, {:.3f}m,'.format(h.polarisation, h.positionx * G.dx, h.positiony * G.dy, h.positionz * G.dz) + tmp + 'using waveform {} created.'.format(h.waveformID))
G.hertziandipoles.append(h)
# Magnetic dipole
cmdname = '#magnetic_dipole'
if multicmds[cmdname] != 'None':
for cmdinstance in multicmds[cmdname]:
tmp = cmdinstance.split()
if len(tmp) != 5:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires at least five parameters')
# Check polarity & position parameters
if tmp[0].lower() not in ('x', 'y', 'z'):
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' polarisation must be x, y, or z')
positionx = rvalue(float(tmp[1])/G.dx)
positiony = rvalue(float(tmp[2])/G.dy)
positionz = rvalue(float(tmp[3])/G.dz)
if positionx < 0 or positionx > G.nx:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' x-coordinate is not within the model domain')
if positiony < 0 or positiony > G.ny:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' y-coordinate is not within the model domain')
if positionz < 0 or positionz > G.nz:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' z-coordinate is not within the model domain')
# Check if there is a waveformID in the waveforms list
if not any(x.ID == tmp[4] for x in G.waveforms):
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' there is no waveform with the identifier {}'.format(tmp[4]))
m = MagneticDipole()
m.polarisation = tmp[0]
m.positionx = positionx
m.positiony = positiony
m.positionz = positionz
if len(tmp) > 6:
# Check source start & source remove time parameters
start = float(tmp[6])
stop = float(tmp[7])
if start < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' delay of the initiation of the source should not be less than zero')
if stop < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' time to remove the source should not be less than zero')
if stop - start <= 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' duration of the source should not be zero or less')
m.start = start
if stop > G.timewindow:
m.stop = G.timewindow
m.waveformID = tmp[7]
tmp = ' start time {:.3e} secs, finish time {:.3e} secs '.format(m.start, m.stop)
else:
m.start = 0
m.stop = G.timewindow
m.waveformID = tmp[4]
tmp = ' '
if G.messages:
print('Magnetic dipole with polarity {} at {:.3f}m, {:.3f}m, {:.3f}m,'.format(m.polarisation, m.positionx * G.dx, m.positiony * G.dy, m.positionz * G.dz) + tmp + 'using waveform {} created.'.format(m.waveformID))
G.magneticdipoles.append(m)
# Receiver
cmdname = '#rx'
if multicmds[cmdname] != 'None':
for cmdinstance in multicmds[cmdname]:
tmp = cmdinstance.split()
if len(tmp) != 3:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires exactly three parameters')
# Check position parameters
positionx = rvalue(float(tmp[0])/G.dx)
positiony = rvalue(float(tmp[1])/G.dy)
positionz = rvalue(float(tmp[2])/G.dz)
if positionx < 0 or positionx > G.nx:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' x-coordinate is not within the model domain')
if positiony < 0 or positiony > G.ny:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' y-coordinate is not within the model domain')
if positionz < 0 or positionz > G.nz:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' z-coordinate is not within the model domain')
r = Rx(positionx=positionx, positiony=positiony, positionz=positionz)
if G.messages:
print('Receiver at {:.3f}m, {:.3f}m, {:.3f}m created.'.format(r.positionx * G.dx, r.positiony * G.dy, r.positionz * G.dz))
G.rxs.append(r)
# Receiver box
cmdname = '#rx_box'
if multicmds[cmdname] != 'None':
for cmdinstance in multicmds[cmdname]:
tmp = cmdinstance.split()
if len(tmp) != 9:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires exactly nine parameters')
xs = rvalue(float(tmp[0])/G.dx)
xf = rvalue(float(tmp[3])/G.dx)
ys = rvalue(float(tmp[1])/G.dy)
yf = rvalue(float(tmp[4])/G.dy)
zs = rvalue(float(tmp[2])/G.dz)
zf = rvalue(float(tmp[5])/G.dz)
dx = rvalue(float(tmp[6])/G.dx)
dy = rvalue(float(tmp[7])/G.dy)
dz = rvalue(float(tmp[8])/G.dz)
if xs < 0 or xs > G.nx:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the lower x-coordinate {} is not within the model domain'.format(xs))
if xf < 0 or xf > G.nx:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the upper x-coordinate {} is not within the model domain'.format(xf))
if ys < 0 or ys > G.ny:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the lower y-coordinate {} is not within the model domain'.format(ys))
if yf < 0 or yf > G.ny:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the upper y-coordinate {} is not within the model domain'.format(yf))
if zs < 0 or zs > G.nz:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the lower z-coordinate {} is not within the model domain'.format(zs))
if zf < 0 or zf > G.nz:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the upper z-coordinate {} is not within the model domain'.format(zf))
if xs >= xf or ys >= yf or zs >= zf:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the lower coordinates should be less than the upper coordinates')
if dx < 0 or dy < 0 or dz < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the step size should not be less than zero')
if dx < G.dx or dy < G.dy or dz < G.dz:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the step size should not be less than the spatial discretisation')
for x in range(xs, xf, dx):
for y in range(ys, yf, dy):
for z in range(zs, zf, dz):
r = Rx(positionx=x, positiony=y, positionz=z)
G.rxs.append(r)
if G.messages:
print('Receiver box {:.3f}m, {:.3f}m, {:.3f}m, to {:.3f}m, {:.3f}m, {:.3f}m with steps {:.3f}m, {:.3f}m, {:.3f} created.'.format(xs * G.dx, ys * G.dy, zs * G.dz, xf * G.dx, yf * G.dy, zf * G.dz, dx * G.dx, dy * G.dy, dz * G.dz))
# Snapshot
cmdname = '#snapshot'
if multicmds[cmdname] != 'None':
for cmdinstance in multicmds[cmdname]:
tmp = cmdinstance.split()
if len(tmp) != 11:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires exactly eleven parameters')
xs = rvalue(float(tmp[0])/G.dx)
xf = rvalue(float(tmp[3])/G.dx)
ys = rvalue(float(tmp[1])/G.dy)
yf = rvalue(float(tmp[4])/G.dy)
zs = rvalue(float(tmp[2])/G.dz)
zf = rvalue(float(tmp[5])/G.dz)
dx = rvalue(float(tmp[6])/G.dx)
dy = rvalue(float(tmp[7])/G.dy)
dz = rvalue(float(tmp[8])/G.dz)
# If real floating point value given
if '.' in tmp[9] or 'e' in tmp[9]:
if float(tmp[9]) > 0:
time = rvalue((float(tmp[9]) / G.dt)) + 1
else:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' time value must be greater than zero')
# If number of iterations given
else:
time = int(tmp[9])
if dx < 0 or dy < 0 or dz < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the step size should not be less than zero')
if dx < G.dx or dy < G.dy or dz < G.dz:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the step size should not be less than the spatial discretisation')
if time <= 0 or time > G.iterations:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' time value is not valid')
s = Snapshot(xs, ys, zs, xf, yf, zf, dx, dy, dz, time, tmp[10])
if G.messages:
print('Snapshot from {:.3f}m, {:.3f}m, {:.3f}m, to {:.3f}m, {:.3f}m, {:.3f}m, discretisation {:.3f}m, {:.3f}m, {:.3f}m, at {:.3e} secs with filename {} created.'.format(xs * G.dx, ys * G.dy, zs * G.dz, xf * G.dx, yf * G.dy, zf * G.dz, dx * G.dx, dx * G.dy, dx * G.dz, s.time * G.dt, s.filename))
G.snapshots.append(s)
# Materials
# Create built-in materials
m = Material(0, 'pec', G)
m.average = False
G.materials.append(m)
m = Material(1, 'free_space', G)
m.average = True
G.materials.append(m)
cmdname = '#material'
if multicmds[cmdname] != 'None':
for cmdinstance in multicmds[cmdname]:
tmp = cmdinstance.split()
if len(tmp) != 5:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires exactly five parameters')
if float(tmp[0]) < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires a positive value for static (DC) permittivity')
if float(tmp[1]) < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires a positive value for conductivity')
if float(tmp[2]) < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires a positive value for permeability')
if float(tmp[3]) < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires a positive value for magnetic conductivity')
if any(x.ID == tmp[4] for x in G.materials):
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' with ID {} already exists'.format(tmp[4]))
# Create a new instance of the Material class material (start index after pec & free_space)
m = Material(len(G.materials), tmp[4], G)
m.er = float(tmp[0])
m.se = float(tmp[1])
m.mr = float(tmp[2])
m.sm = float(tmp[3])
if G.messages:
print('Material {} with epsr={:4.2f}, sig={:.3e} S/m; mur={:4.2f}, sig*={:.3e} S/m created.'.format(m.ID, m.er, m.se, m.mr, m.sm))
# Append the new material object to the materials list
G.materials.append(m)
cmdname = '#add_dispersion_debye'
if multicmds[cmdname] != 'None':
for cmdinstance in multicmds[cmdname]:
tmp = cmdinstance.split()
if len(tmp) < 4:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires at least four parameters')
if int(tmp[0]) < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires a positive value for number of poles')
poles = int(tmp[0])
materialsrequested = tmp[(2 * poles) + 1:len(tmp)]
# Look up requested materials in existing list of material instances
materials = [y for x in materialsrequested for y in G.materials if y.ID == x]
if len(materials) != len(materialsrequested):
notfound = [x for x in materialsrequested if x not in materials]
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' material(s) {} do not exist'.format(notfound))
for material in materials:
material.type = 'debye'
material.poles = poles
material.average = False
for pole in range(1, 2 * poles, 2):
if float(tmp[pole]) > 0 and float(tmp[pole + 1]) > G.dt:
material.deltaer.append(float(tmp[pole]))
material.tau.append(float(tmp[pole + 1]))
else:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires positive values for the permittivity difference and relaxation times, and relaxation times that are greater than the time step for the model.')
if material.poles > Material.maxpoles:
Material.maxpoles = material.poles
if G.messages:
print('Debye-type disperion added to {} with delta_epsr={}, and tau={} secs created.'.format(material.ID, ','.join('%4.2f' % deltaer for deltaer in material.deltaer), ','.join('%4.3e' % tau for tau in material.tau)))
cmdname = '#add_dispersion_lorenz'
if multicmds[cmdname] != 'None':
for cmdinstance in multicmds[cmdname]:
tmp = cmdinstance.split()
if len(tmp) < 5:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires at least five parameters')
if int(tmp[0]) < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires a positive value for number of poles')
poles = int(tmp[0])
materialsrequested = tmp[(3 * poles) + 1:len(tmp)]
# Look up requested materials in existing list of material instances
materials = [y for x in materialsrequested for y in G.materials if y.ID == x]
if len(materials) != len(materialsrequested):
notfound = [x for x in materialsrequested if x not in materials]
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' material(s) {} do not exist'.format(notfound))
for material in materials:
material.type = 'lorenz'
material.poles = poles
material.average = False
for pole in range(1, 3 * poles, 3):
if float(tmp[pole]) > 0 and float(tmp[pole + 1]) > G.dt and float(tmp[pole + 2]) > G.dt:
material.deltaer.append(float(tmp[pole]))
material.tau.append(float(tmp[pole + 1]))
material.alpha.append(float(tmp[pole + 2]))
else:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires positive values for the permittivity difference and relaxation times, and relaxation times that are greater than the time step for the model.')
if material.poles > Material.maxpoles:
Material.maxpoles = material.poles
if G.messages:
print('Lorenz-type disperion added to {} with delta_epsr={}, tau={} secs, and alpha={} created.'.format(material.ID, ','.join('%4.2f' % deltaer for deltaer in material.deltaer), ','.join('%4.3e' % tau for tau in material.tau), ','.join('%4.3e' % alpha for alpha in material.alpha)))
cmdname = '#add_dispersion_drude'
if multicmds[cmdname] != 'None':
for cmdinstance in multicmds[cmdname]:
tmp = cmdinstance.split()
if len(tmp) < 5:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires at least five parameters')
if int(tmp[0]) < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires a positive value for number of poles')
poles = int(tmp[0])
materialsrequested = tmp[(3 * poles) + 1:len(tmp)]
# Look up requested materials in existing list of material instances
materials = [y for x in materialsrequested for y in G.materials if y.ID == x]
if len(materials) != len(materialsrequested):
notfound = [x for x in materialsrequested if x not in materials]
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' material(s) {} do not exist'.format(notfound))
for material in materials:
material.type = 'drude'
material.poles = poles
material.average = False
for pole in range(1, 3 * poles, 3):
if float(tmp[pole]) > 0 and float(tmp[pole + 1]) > G.dt and float(tmp[pole + 2]) > G.dt:
material.deltaer.append(float(tmp[pole]))
material.tau.append(float(tmp[pole + 1]))
material.alpha.append(float(tmp[pole + 2]))
else:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires positive values for the permittivity difference and relaxation times, and relaxation times that are greater than the time step for the model.')
if material.poles > Material.maxpoles:
Material.maxpoles = material.poles
if G.messages:
print('Drude-type disperion added to {} with delta_epsr={}, tau1={} secs, and tau2={} secs created.'.format(material.ID, ','.join('%4.2f' % deltaer for deltaer in material.deltaer), ','.join('%4.3e' % tau for tau in material.tau), ','.join('%4.3e' % alpha for alpha in material.alpha)))
cmdname = '#soil_peplinski'
if multicmds[cmdname] != 'None':
for cmdinstance in multicmds[cmdname]:
tmp = cmdinstance.split()
if len(tmp) != 7:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires at exactly seven parameters')
if float(tmp[0]) < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires a positive value for the sand fraction')
if float(tmp[1]) < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires a positive value for the clay fraction')
if float(tmp[2]) < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires a positive value for the bulk density')
if float(tmp[3]) < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires a positive value for the sand particle density')
if float(tmp[4]) < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires a positive value for the lower limit of the water volumetric fraction')
if float(tmp[5]) < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires a positive value for the upper limit of the water volumetric fraction')
if any(x.ID == tmp[6] for x in G.mixingmodels):
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' with ID {} already exists'.format(tmp[6]))
# Create a new instance of the Material class material (start index after pec & free_space)
s = PeplinskiSoil(tmp[6], float(tmp[0]), float(tmp[1]), float(tmp[2]), float(tmp[3]), (float(tmp[4]), float(tmp[5])))
if G.messages:
print('Mixing model (Peplinski) used to create {} with sand fraction {:.3f}, clay fraction {:.3f}, bulk density {:.3f} g/cm3, sand particle density {:.3f} g/cm3, and water volumetric fraction {} to {} created.'.format(s.ID, s.S, s.C, s.rb, s.rs, s.mu[0], s.mu[1]))
# Append the new material object to the materials list
G.mixingmodels.append(s)
# Geometry views (creates VTK-based geometry files)
cmdname = '#geometry_view'
if multicmds[cmdname] != 'None':
for cmdinstance in multicmds[cmdname]:
tmp = cmdinstance.split()
if len(tmp) != 11:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires exactly eleven parameters')
xs = rvalue(float(tmp[0])/G.dx)
xf = rvalue(float(tmp[3])/G.dx)
ys = rvalue(float(tmp[1])/G.dy)
yf = rvalue(float(tmp[4])/G.dy)
zs = rvalue(float(tmp[2])/G.dz)
zf = rvalue(float(tmp[5])/G.dz)
dx = rvalue(float(tmp[6])/G.dx)
dy = rvalue(float(tmp[7])/G.dy)
dz = rvalue(float(tmp[8])/G.dz)
if xs < 0 or xs > G.nx:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the lower x-coordinate {} is not within the model domain'.format(xs * G.dx))
if xf < 0 or xf > G.nx:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the upper x-coordinate {} is not within the model domain'.format(xf * G.dx))
if ys < 0 or ys > G.ny:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the lower y-coordinate {} is not within the model domain'.format(ys * G.dy))
if yf < 0 or yf > G.ny:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the upper y-coordinate {} is not within the model domain'.format(yf * G.dy))
if zs < 0 or zs > G.nz:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the lower z-coordinate {} is not within the model domain'.format(zs * G.dz))
if zf < 0 or zf > G.nz:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the upper z-coordinate {} is not within the model domain'.format(zf * G.dz))
if xs >= xf or ys >= yf or zs >= zf:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the lower coordinates should be less than the upper coordinates')
if dx < 0 or dy < 0 or dz < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the step size should not be less than zero')
if dx < G.dx or dy < G.dy or dz < G.dz:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' the step size should not be less than the spatial discretisation')
if tmp[10].lower() != 'n' and tmp[10].lower() != 'f':
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires type to be either n (normal) or f (fine)')
g = GeometryView(xs, ys, zs, xf, yf, zf, dx, dy, dz, tmp[9], tmp[10].lower())
if G.messages:
print('Geometry view from {:.3f}m, {:.3f}m, {:.3f}m, to {:.3f}m, {:.3f}m, {:.3f}m, discretisation {:.3f}m, {:.3f}m, {:.3f}m, filename {} created.'.format(xs * G.dx, ys * G.dy, zs * G.dz, xf * G.dx, yf * G.dy, zf * G.dz, dx * G.dx, dy * G.dy, dz * G.dz, g.filename))
# Append the new GeometryView object to the geometry views list
G.geometryviews.append(g)
# Complex frequency shifted (CFS) PML parameter
cmdname = '#pml_cfs'
if multicmds[cmdname] != 'None':
if len(multicmds[cmdname]) > 2:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' can only be used up to two times, for up to a 2nd order PML')
for cmdinstance in multicmds[cmdname]:
tmp = cmdinstance.split()
if len(tmp) != 9:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' requires exactly nine parameters')
if tmp[0] not in CFS.scalingtypes or tmp[3] not in CFS.scalingtypes or tmp[6] not in CFS.scalingtypes:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' must have scaling type {}'.format(','.join(CFS.scalingtypes)))
if float(tmp[1]) < 0 or float(tmp[2]) < 0 or float(tmp[4]) < 0 or float(tmp[5]) < 0 or float(tmp[7]) < 0:
raise CmdInputError("'" + cmdname + ': ' + ' '.join(tmp) + "'" + ' minimum and maximum scaling values must be greater than zero')
cfs = CFS()
cfs.alphascaling = tmp[0]
cfs.alphamin = float(tmp[1])
cfs.alphamax = float(tmp[2])
cfs.kappascaling = tmp[3]
cfs.kappamin = float(tmp[4])
cfs.kappamax = float(tmp[5])
cfs.sigmascaling = tmp[6]
cfs.sigmamin = float(tmp[7])
if tmp[8] == 'None':
cfs.sigmamax = None
else:
cfs.sigmamax = float(tmp[8])
if G.messages:
print('CFS parameters: alpha scaling {}, alpha_min {:.2f}, alpha_max {:.2f}, kappa scaling {}, kappa_min {:.2f}, kappa_max {:.2f}, sigma scaling {}, sigma_min {:.2f}, sigma_max {} created.'.format(cfs.alphascaling, cfs.alphamin, cfs.alphamax, cfs.kappascaling, cfs.kappamin, cfs.kappamax, cfs.sigmascaling, cfs.sigmamin, cfs.sigmamax))
G.cfs.append(cfs)

258
gprMax/input_cmds_singleuse.py 普通文件
查看文件

@@ -0,0 +1,258 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import os, sys
import numpy as np
from psutil import virtual_memory
from .constants import c, floattype
from .exceptions import CmdInputError
from .pml import PML, CFS
from .utilities import rvalue, human_size
from .waveforms import Waveform
def process_singlecmds(singlecmds, multicmds, G):
"""Checks the validity of command parameters and creates instances of classes of parameters.
Args:
singlecmds (dict): Commands that can only occur once in the model.
multicmds (dict): Commands that can have multiple instances in the model (required to pass to process_materials_file function).
G (class): Grid class instance - holds essential parameters describing the model.
"""
# Check validity of command parameters in order needed
# messages
cmd = '#messages'
if singlecmds[cmd] != 'None':
tmp = singlecmds[cmd].split()
if len(tmp) != 1:
raise CmdInputError(cmd + ' requires exactly one parameter')
if singlecmds[cmd].lower() == 'y':
G.messages = True
elif singlecmds[cmd].lower() == 'n':
G.messages = False
else:
raise CmdInputError(cmd + ' requires input values of either y or n')
# Title
cmd = '#title'
if singlecmds[cmd] != 'None':
G.title = singlecmds[cmd]
if G.messages:
print('Model title: {}'.format(G.title))
# Number of processors to run on (OpenMP)
cmd = '#num_threads'
ompthreads = os.environ.get('OMP_NUM_THREADS')
if singlecmds[cmd] != 'None':
tmp = tuple(int(x) for x in singlecmds[cmd].split())
if len(tmp) != 1:
raise CmdInputError(cmd + ' requires exactly one parameter to specify the number of OpenMP threads to use')
if tmp[0] < 1:
raise CmdInputError(cmd + ' requires the value to be an integer not less than one')
G.nthreads = tmp[0]
elif ompthreads:
G.nthreads = int(ompthreads)
else:
# Set number of threads to number of physical CPU cores, i.e. avoid hyperthreading with OpenMP for now
if sys.platform == 'darwin':
G.nthreads = int(os.popen('sysctl hw.physicalcpu').readlines()[0].split(':')[1].strip())
elif sys.platform == 'win32':
# Consider using wmi tools to check hyperthreading on Windows
G.nthreads = os.cpu_count()
elif 'linux' in sys.platform:
lscpu = os.popen('lscpu').readlines()
cpusockets = [item for item in lscpu if item.startswith('Socket(s)')]
cpusockets = int(cpusockets[0].split(':')[1].strip())
corespersocket = [item for item in lscpu if item.startswith('Core(s) per socket')]
corespersocket = int(corespersocket[0].split(':')[1].strip())
G.nthreads = cpusockets * corespersocket
else:
G.nthreads = os.cpu_count()
if G.messages:
print('Number of threads: {}'.format(G.nthreads))
# Spatial discretisation
cmd = '#dx_dy_dz'
tmp = [float(x) for x in singlecmds[cmd].split()]
if len(tmp) != 3:
raise CmdInputError(cmd + ' requires exactly three parameters')
if tmp[0] <= 0:
raise CmdInputError(cmd + ' requires the x-direction spatial step to be greater than zero')
if tmp[1] <= 0:
raise CmdInputError(cmd + ' requires the y-direction spatial step to be greater than zero')
if tmp[2] <= 0:
raise CmdInputError(cmd + ' requires the z-direction spatial step to be greater than zero')
G.dx = tmp[0]
G.dy = tmp[1]
G.dz = tmp[2]
if G.messages:
print('Spatial discretisation: {:.3f} x {:.3f} x {:.3f} m'.format(G.dx, G.dy, G.dz))
# Domain
cmd = '#domain'
tmp = [float(x) for x in singlecmds[cmd].split()]
nx = rvalue(tmp[0]/G.dx)
ny = rvalue(tmp[1]/G.dy)
nz = rvalue(tmp[2]/G.dz)
if len(tmp) != 3:
raise CmdInputError(cmd + ' requires exactly three parameters')
G.nx = nx
G.ny = ny
G.nz = nz
if G.messages:
print('Model domain: {:.3f} x {:.3f} x {:.3f} m ({:d} x {:d} x {:d} = {:d} Mcells)'.format(tmp[0], tmp[1], tmp[2], G.nx, G.ny, G.nz, int((G.nx * G.ny * G.nz)/1e6)))
mem = (((G.nx + 1) * (G.ny + 1) * (G.nz + 1) * 13 * np.dtype(floattype).itemsize + (G.nx + 1) * (G.ny + 1) * (G.nz + 1) * 18) * 1.1) + 30e6
print('Memory (approx) required/available: {} / {}'.format(human_size(mem), human_size(virtual_memory().total)))
# Time step CFL limit - use either 2D or 3D (default)
cmd = '#time_step_limit_type'
if singlecmds[cmd] != 'None':
tmp = singlecmds[cmd].split()
if len(tmp) != 1:
raise CmdInputError(cmd + ' requires exactly one parameter')
if singlecmds[cmd].lower() == '2d':
if G.nx == 1:
G.dt = 1 / (c * np.sqrt((1 / G.dy) * (1 / G.dy) + (1 / G.dz) * (1 / G.dz)))
elif G.ny == 1:
G.dt = 1 / (c * np.sqrt((1 / G.dx) * (1 / G.dx) + (1 / G.dz) * (1 / G.dz)))
elif G.nz == 1:
G.dt = 1 / (c * np.sqrt((1 / G.dx) * (1 / G.dx) + (1 / G.dy) * (1 / G.dy)))
else:
raise CmdInputError(cmd + ' 2D CFL limit can only be used when one dimension of the domain is one cell')
elif singlecmds[cmd].lower() == '3d':
G.dt = 1 / (c * np.sqrt((1 / G.dx) * (1 / G.dx) + (1 / G.dy) * (1 / G.dy) + (1 / G.dz) * (1 / G.dz)))
else:
raise CmdInputError(cmd + ' requires input values of either 2D or 3D')
else:
G.dt = 1 / (c * np.sqrt((1 / G.dx) * (1 / G.dx) + (1 / G.dy) * (1 / G.dy) + (1 / G.dz) * (1 / G.dz)))
if G.messages:
print('Time step: {:.3e} secs'.format(G.dt))
# Time step stability factor
cmd = '#time_step_stability_factor'
if singlecmds[cmd] != 'None':
tmp = tuple(float(x) for x in singlecmds[cmd].split())
if len(tmp) != 1:
raise CmdInputError(cmd + ' requires exactly one parameter')
if tmp[0] <= 0 or tmp[0] > 1:
raise CmdInputError(cmd + ' requires the value of the time step stability factor to be between zero and one')
G.dt = G.dt * tmp[0]
if G.messages:
print('Time step (modified): {:.3e} secs'.format(G.dt))
# Time window
cmd = '#time_window'
tmp = singlecmds[cmd].split()
if len(tmp) != 1:
raise CmdInputError(cmd + ' requires exactly one parameter to specify the time window. Either in seconds or number of iterations.')
tmp = tmp[0].lower()
# If real floating point value given
if '.' in tmp or 'e' in tmp:
if float(tmp) > 0:
G.timewindow = float(tmp)
G.iterations = rvalue((float(tmp) / G.dt)) + 1
else:
raise CmdInputError(cmd + ' must have a value greater than zero')
# If number of iterations given
else:
G.timewindow = (int(tmp) - 1) * G.dt
G.iterations = int(tmp)
if G.messages:
print('Time window: {:.3e} secs ({} iterations)'.format(G.timewindow, G.iterations))
# PML
cmd = '#pml_cells'
if singlecmds[cmd] != 'None':
tmp = singlecmds[cmd].split()
if len(tmp) != 1 and len(tmp) != 6:
raise CmdInputError(cmd + ' requires either one or six parameters')
if len(tmp) == 1:
G.pmlthickness = (int(tmp[0]), int(tmp[0]), int(tmp[0]), int(tmp[0]), int(tmp[0]), int(tmp[0]))
else:
G.pmlthickness = (int(tmp[0]), int(tmp[1]), int(tmp[2]), int(tmp[3]), int(tmp[4]), int(tmp[5]))
if 2*G.pmlthickness[0] >= G.nx or 2*G.pmlthickness[1] >= G.ny or 2*G.pmlthickness[2] >= G.nz or 2*G.pmlthickness[3] >= G.nx or 2*G.pmlthickness[4] >= G.ny or 2*G.pmlthickness[5] >= G.nz:
raise CmdInputError(cmd + ' has too many cells for the domain size')
# src_steps
cmd = '#src_steps'
if singlecmds[cmd] != 'None':
tmp = singlecmds[cmd].split()
if len(tmp) != 3:
raise CmdInputError(cmd + ' requires exactly three parameters')
G.txstepx = rvalue(float(tmp[0])/G.dx)
G.txstepy = rvalue(float(tmp[1])/G.dy)
G.txstepz = rvalue(float(tmp[2])/G.dz)
if G.messages:
print('All sources will step {:.3f}m, {:.3f}m, {:.3f}m for each model run.'.format(G.txstepx * G.dx, G.txstepy * G.dy, G.txstepz * G.dz))
# rx_steps
cmd = '#rx_steps'
if singlecmds[cmd] != 'None':
tmp = singlecmds[cmd].split()
if len(tmp) != 3:
raise CmdInputError(cmd + ' requires exactly three parameters')
G.rxstepx = rvalue(float(tmp[0])/G.dx)
G.rxstepy = rvalue(float(tmp[1])/G.dy)
G.rxstepz = rvalue(float(tmp[2])/G.dz)
if G.messages:
print('All receivers will step {:.3f}m, {:.3f}m, {:.3f}m for each model run.'.format(G.rxstepx * G.dx, G.rxstepy * G.dy, G.rxstepz * G.dz))
# Excitation file for user-defined source waveforms
cmd = '#excitation_file'
if singlecmds[cmd] != 'None':
tmp = singlecmds[cmd].split()
if len(tmp) != 1:
raise CmdInputError(cmd + ' requires exactly one parameter')
excitationfile = tmp[0]
# Open file and get waveform names
with open(excitationfile, 'r') as f:
waveformIDs = f.readline().split()
# Read all waveform values into an array
waveformvalues = np.loadtxt(excitationfile, skiprows=1, dtype=floattype)
for waveform in range(len(waveformIDs)):
if any(x.ID == waveformIDs[waveform] for x in G.waveforms):
raise CmdInputError('Waveform with ID {} already exists'.format(waveformIDs[waveform]))
w = Waveform()
w.ID = waveformIDs[waveform]
w.type = 'user'
w.uservalues = waveformvalues[:,waveform]
if G.messages:
print('User waveform {} created.'.format(w.ID))
G.waveforms.append(w)

233
gprMax/materials.py 普通文件
查看文件

@@ -0,0 +1,233 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import numpy as np
from .constants import e0, m0, floattype, complextype
class Material():
"""Materials, their properties and update coefficients."""
# Maximum number of dispersive material poles in a model
maxpoles = 0
# Types of material
types = ['standard', 'debye', 'lorenz', 'drude']
# Properties of water from: http://dx.doi.org/10.1109/TGRS.2006.873208
waterer = 80.1
watereri = 4.9
waterdeltaer = waterer - watereri
watertau = 9.231e-12
# Properties of grass from: http://dx.doi.org/10.1007/BF00902994
grasser = 18.5087
grasseri = 12.7174
grassdeltaer = grasser - grasseri
grasstau = 1.0793e-11
def __init__(self, numID, ID, G):
"""
Args:
numID (int): Numeric identifier of the material.
ID (str): Name of the material.
G (class): Grid class instance - holds essential parameters describing the model.
"""
self.numID = numID
self.ID = ID
self.type = 'standard'
# Default material averaging
self.average = True
# Default material constitutive parameters (free_space)
self.er = 1.0
self.se = 0.0
self.mr = 1.0
self.sm = 0.0
# Parameters for dispersive materials
self.poles = 0
self.deltaer = []
self.tau = []
self.alpha = []
def calculate_update_coeffsH(self, G):
"""Calculates the magnetic update coefficients of the material.
Args:
G (class): Grid class instance - holds essential parameters describing the model.
"""
HA = (m0*self.mr / G.dt) + 0.5*self.sm
HB = (m0*self.mr / G.dt) - 0.5*self.sm
self.DA = HB / HA
self.DBx = (1 / G.dx) * 1 / HA
self.DBy = (1 / G.dy) * 1 / HA
self.DBz = (1 / G.dz) * 1 / HA
self.srcm = 1 / HA
# Calculate electric update coefficients
def calculate_update_coeffsE(self, G):
"""Calculates the electric update coefficients of the material.
Args:
G (class): Grid class instance - holds essential parameters describing the model.
"""
# The implementation of the dispersive material modelling comes from the derivation in: http://dx.doi.org/10.1109/TAP.2014.2308549
if self.maxpoles > 0:
self.w = np.zeros(self.maxpoles, dtype=complextype)
self.q = np.zeros(self.maxpoles, dtype=complextype)
self.zt = np.zeros(self.maxpoles, dtype=complextype)
self.zt2 = np.zeros(self.maxpoles, dtype=complextype)
self.eqt = np.zeros(self.maxpoles, dtype=complextype)
self.eqt2 = np.zeros(self.maxpoles, dtype=complextype)
for x in range(self.poles):
if self.type == 'debye':
self.w[x] = self.deltaer[x] / self.tau[x]
self.q[x] = -1 / self.tau[x]
elif self.type == 'lorenz':
wp2 = (2 * np.pi * (1 / self.tau[x])) * (2 * np.pi * (1 / self.tau[x]))
self.w[x] = -(wp2 * self.deltaer[x]) * j / np.sqrt(wp2 - (self.alpha[x] * self.alpha[x]))
self.q[x] = -self.alpha[x] + np.sqrt(wp2 - (self.alpha[x] * self.alpha[x])) * j
elif self.type == 'drude':
wp2 = (2 * np.pi * (1 / self.tau[x])) * (2 * np.pi * (1 / self.tau[x]))
self.se += wp2 / self.alpha[x]
self.w[x] = - (wp2 / self.alpha[x])
self.q[x] = - self.alpha[x]
self.eqt[x] = np.exp(self.q[x] * G.dt)
self.eqt2[x] = np.exp(self.q[x] * (G.dt / 2))
self.zt[x] = (self.w[x] / self.q[x]) * (1 - self.eqt[x]) / G.dt
self.zt2[x] = (self.w[x] / self.q[x]) * (1 - self.eqt2[x])
EA = (e0*self.er / G.dt) + 0.5*self.se - (e0 / G.dt) * np.sum(self.zt2.real)
EB = (e0*self.er / G.dt) - 0.5*self.se - (e0 / G.dt) * np.sum(self.zt2.real)
else:
EA = (e0*self.er / G.dt) + 0.5*self.se
EB = (e0*self.er / G.dt) - 0.5*self.se
if self.ID == 'pec':
self.CA = 0
self.CBx = 0
self.CBy = 0
self.CBz = 0
self.srce = 0
else:
self.CA = EB / EA
self.CBx = (1 / G.dx) * 1 / EA
self.CBy = (1 / G.dy) * 1 / EA
self.CBz = (1 / G.dz) * 1 / EA
self.srce = 1 / EA
class PeplinskiSoil():
"""Soil objects that are characterised according to a mixing model by Peplinski (http://dx.doi.org/10.1109/36.387598)."""
def __init__(self, ID, sandfraction, clayfraction, bulkdensity, sandpartdensity, watervolfraction):
"""
Args:
ID (str): Name of the soil.
sandfraction (float): Sand fraction of the soil.
clayfraction (float): Clay fraction of the soil.
bulkdensity (float): Bulk density of the soil (g/cm3).
sandpartdensity (float): Density of the sand particles in the soil (g/cm3).
watervolfraction (float): Two numbers that specify a range for the volumetric water fraction of the soil.
"""
self.ID = ID
self.S = sandfraction
self.C = clayfraction
self.rb = bulkdensity
self.rs = sandpartdensity
self.mu = watervolfraction
self.startmaterialnum = 0
def calculate_debye_properties(self, nbins, G):
"""Calculates the real and imaginery part of a Debye model for the soil as well as a conductivity. It uses a semi-empirical model (http://dx.doi.org/10.1109/36.387598).
Args:
nbins (int): Number of bins to use to create the different materials.
G (class): Grid class instance - holds essential parameters describing the model.
"""
# Debye model properties of water
f = 1.3e9
w = 2 * np.pi * f
erealw = Material.watereri + ((Material.waterdeltaer) / (1 + (w * Material.watertau)**2))
eimagw = w * Material.watertau * ((Material.waterdeltaer) / (1 + (w * Material.watertau)**2))
a = 0.65 # Experimentally derived constant
es = (1.01 + 0.44 * self.rs)**2 - 0.062
b1 = 1.2748 - 0.519 * self.S - 0.152 * self.C
b2 = 1.33797 - 0.603 * self.S - 0.166 * self.C
# For frequencies in the range 0.3GHz to 1.3GHz
sigf1 = 0.0467 + 0.2204 * self.rb - 0.411 * self.S + 0.6614 * self.C
# For frequencies in the range 1.4GHz to 18GHz
sigf2 = -1.645 + 1.939 * self.rb - 2.25622 * self.S + 1.594 * self.C
# Generate a set of bins based on the given volumetric water fraction values
mubins = np.linspace(self.mu[0], self.mu[1], nbins + 1)
# Generate a range of volumetric water fraction values the mid-point of each bin to make materials from
mumaterials = mubins + (mubins[1] - mubins[0]) / 2
# Create an iterator
muiter = np.nditer(mumaterials, flags=['c_index'])
while not muiter.finished:
# Real part for frequencies in the range 1.4GHz to 18GHz
er1 = (1 + (self.rb/self.rs) * ((es**a) - 1) + (muiter[0]**b1 * erealw**a) - muiter[0]) ** (1/a)
# Real part for frequencies in the range 0.3GHz to 1.3GHz
er2 = 1.15 * er1 - 0.68
# Imaginary part for frequencies in the range 0.3GHz to 1.3GHz
eri = er2 - (muiter[0]**(b2/a) * Material.waterdeltaer)
# Effective conductivity
sig = muiter[0]**(b2/a) * ((sigf1 * (self.rs - self.rb)) / (self.rs * muiter[0]))
# Check to see if the material already exists before creating a new one
requiredID = '|{:.4f}|'.format(float(muiter[0]))
material = next((x for x in G.materials if x.ID == requiredID), None)
if muiter.index == 0:
if material:
self.startmaterialnum = material.numID
else:
self.startmaterialnum = len(G.materials)
if not material:
m = Material(len(G.materials), requiredID, G)
m.average = False
m.er = eri
m.se = sig
m.deltaer.append(er2 - m.er)
m.tau.append(Material.watertau)
G.materials.append(m)
muiter.iternext()

343
gprMax/pml.py 普通文件
查看文件

@@ -0,0 +1,343 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import numpy as np
from .constants import e0, z0, floattype
class CFS():
"""PML CFS parameters."""
# Allowable scaling types
scalingtypes = {'constant': 0, 'linear': 1, 'inverselinear': -1, 'quadratic': 2, 'cubic': 3, 'quartic': 4}
def __init__(self, alphascaling='constant', alphamin=0, alphamax=0, kappascaling='constant', kappamin=1, kappamax=1, sigmascaling='quartic', sigmamin=0, sigmamax=None):
"""
Args:
alphascaling (str): Type of scaling used for alpha parameter. Can be: 'constant', 'linear', 'inverselinear', 'quadratic', 'cubic', 'quartic'.
alphamin (float): Minimum value for alpha parameter.
alphamax (float): Maximum value for alpha parameter.
kappascaling (str): Type of scaling used for kappa parameter. Can be: 'constant', 'linear', 'inverselinear', 'quadratic', 'cubic', 'quartic'.
kappamin (float): Minimum value for kappa parameter.
kappamax (float): Maximum value for kappa parameter.
sigmascaling (str): Type of scaling used for sigma parameter. Can be: 'constant', 'linear', 'inverselinear', 'quadratic', 'cubic', 'quartic'.
sigmamin (float): Minimum value for sigma parameter.
sigmamax (float): Maximum value for sigma parameter.
"""
self.alphascaling = alphascaling
self.alphamin = alphamin
self.alphamax = alphamax
self.kappascaling = kappascaling
self.kappamin = kappamin
self.kappamax = kappamax
self.sigmascaling = sigmascaling
self.sigmamin = sigmamin
self.sigmamax = sigmamax
def calculate_sigmamax(self, direction, er, mr, G):
"""Calculates an optimum value for sigma max based on underlying material properties.
Args:
direction (str): Direction of PML slab
er (float): Average permittivity of underlying material.
mr (float): Average permeability of underlying material.
G (class): Grid class instance - holds essential parameters describing the model.
"""
# Get general direction from first letter of PML direction
if direction[0] == 'x':
d = G.dx
elif direction[0] == 'y':
d = G.dy
elif direction[0] == 'z':
d = G.dz
# Calculation of the maximum value of sigma from http://dx.doi.org/10.1109/8.546249
m = CFS.scalingtypes[self.sigmascaling]
self.sigmamax = (0.8 * (m + 1)) / (z0 * d * np.sqrt(er * mr))
def scaling_polynomial(self, min, max, order, Evalues, Hvalues):
"""Applies the polynomial to be used for scaling for electric and magnetic PML updates based on scaling type and minimum and maximum values.
Args:
min (float): Minimum value for scaling.
max (float): Maximum value for scaling.
order (int): Order of polynomial for scaling.
Evalues (float): numpy array holding scaling value for electric PML update.
Hvalues (float): numpy array holding scaling value for magnetic PML update.
Returns:
Evalues (float): numpy array holding scaling value for electric PML update.
Hvalues (float): numpy array holding scaling value for magnetic PML update.
"""
tmp = max * ((np.linspace(0, (len(Evalues) - 1) + 0.5, num=2*len(Evalues))) / (len(Evalues) - 1)) ** order
Evalues = tmp[0:-1:2]
Hvalues = tmp[1::2]
return Evalues, Hvalues
def calculate_values(self, min, max, scaling, Evalues, Hvalues):
"""Calculates values for electric and magnetic PML updates based on scaling type and minimum and maximum values.
Args:
min (float): Minimum value for scaling.
max (float): Maximum value for scaling.
scaling (int): Type of scaling, can be: 'constant', 'linear', 'inverselinear', 'quadratic', 'cubic', 'quartic'.
Evalues (float): numpy array holding scaling value for electric PML update.
Hvalues (float): numpy array holding scaling value for magnetic PML update.
Returns:
Evalues (float): numpy array holding scaling value for electric PML update.
Hvalues (float): numpy array holding scaling value for magnetic PML update.
"""
if scaling == 'constant':
Evalues += max
Hvalues += max
else:
Evalues, Hvalues = self.scaling_polynomial(min, max, CFS.scalingtypes[scaling], Evalues, Hvalues)
if scaling == 'inverselinear':
Evalues = Evalues[::-1]
Hvalues = Hvalues[::-1]
# print('Evalues: scaling {}, {}'.format(scaling, Evalues))
# print('Hvalues: scaling {}, {}'.format(scaling, Hvalues))
return Evalues, Hvalues
class PML():
"""PML - the implementation comes from the derivation in: http://dx.doi.org/10.1109/TAP.2011.2180344"""
def __init__(self, direction=None, xs=0, ys=0, zs=0, xf=0, yf=0, zf=0, cfs=[]):
"""
Args:
xs, xf, ys, yf, zs, zf (float): Extent of the PML volume.
cfs (list): CFS class instances associated with the PML.
"""
self.direction = direction
self.xs = xs
self.xf = xf
self.ys = ys
self.yf = yf
self.zs = zs
self.zf = zf
self.nx = xf - xs
self.ny = yf - ys
self.nz = zf - zs
self.CFS = cfs
if not self.CFS:
self.CFS = [CFS()]
# Subscript notation, e.g. 'EPhiyxz' means the electric field Phi vector, of which the
# component being corrected is y, the stretching direction is x, and field derivative
# is z direction.
if self.direction == 'xminus' or self.direction == 'xplus':
self.thickness = self.nx
self.EPhiyxz = np.zeros((len(self.CFS), self.nx + 1, self.ny, self.nz + 1), dtype=floattype)
self.EPhizxy = np.zeros((len(self.CFS), self.nx + 1, self.ny + 1, self.nz), dtype=floattype)
self.HPhiyxz = np.zeros((len(self.CFS), self.nx, self.ny + 1, self.nz), dtype=floattype)
self.HPhizxy = np.zeros((len(self.CFS), self.nx, self.ny, self.nz + 1), dtype=floattype)
elif self.direction == 'yminus' or self.direction == 'yplus':
self.thickness = self.ny
self.EPhixyz = np.zeros((len(self.CFS), self.nx, self.ny + 1, self.nz + 1), dtype=floattype)
self.EPhizyx = np.zeros((len(self.CFS), self.nx + 1, self.ny + 1, self.nz), dtype=floattype)
self.HPhixyz = np.zeros((len(self.CFS), self.nx + 1, self.ny, self.nz), dtype=floattype)
self.HPhizyx = np.zeros((len(self.CFS), self.nx, self.ny, self.nz + 1), dtype=floattype)
elif self.direction == 'zminus' or self.direction == 'zplus':
self.thickness = self.nz
self.EPhixzy = np.zeros((len(self.CFS), self.nx, self.ny + 1, self.nz + 1), dtype=floattype)
self.EPhiyzx = np.zeros((len(self.CFS), self.nx + 1, self.ny, self.nz + 1), dtype=floattype)
self.HPhixzy = np.zeros((len(self.CFS), self.nx + 1, self.ny, self.nz), dtype=floattype)
self.HPhiyzx = np.zeros((len(self.CFS), self.nx, self.ny + 1, self.nz), dtype=floattype)
self.ERA = np.zeros((len(self.CFS), self.thickness + 1), dtype=floattype)
self.ERB = np.zeros((len(self.CFS), self.thickness + 1), dtype=floattype)
self.ERE = np.zeros((len(self.CFS), self.thickness + 1), dtype=floattype)
self.ERF = np.zeros((len(self.CFS), self.thickness + 1), dtype=floattype)
self.HRA = np.zeros((len(self.CFS), self.thickness + 1), dtype=floattype)
self.HRB = np.zeros((len(self.CFS), self.thickness + 1), dtype=floattype)
self.HRE = np.zeros((len(self.CFS), self.thickness + 1), dtype=floattype)
self.HRF = np.zeros((len(self.CFS), self.thickness + 1), dtype=floattype)
def calculate_update_coeffs(self, er, mr, G):
"""Calculates electric and magnetic update coefficients for the PML.
Args:
er (float): Average permittivity of underlying material
mr (float): Average permeability of underlying material
G (class): Grid class instance - holds essential parameters describing the model.
"""
for x, cfs in enumerate(self.CFS):
Ealpha = np.zeros(self.thickness + 1, dtype=floattype)
Halpha = np.zeros(self.thickness + 1, dtype=floattype)
Ekappa = np.zeros(self.thickness + 1, dtype=floattype)
Hkappa = np.zeros(self.thickness + 1, dtype=floattype)
Esigma = np.zeros(self.thickness + 1, dtype=floattype)
Hsigma = np.zeros(self.thickness + 1, dtype=floattype)
if not cfs.sigmamax:
cfs.calculate_sigmamax(self.direction, er, mr, G)
Ealpha, Halpha = cfs.calculate_values(cfs.alphamin, cfs.alphamax, cfs.alphascaling, Ealpha, Halpha)
Ekappa, Hkappa = cfs.calculate_values(cfs.kappamin, cfs.kappamax, cfs.kappascaling, Ekappa, Hkappa)
Esigma, Hsigma = cfs.calculate_values(cfs.sigmamin, cfs.sigmamax, cfs.sigmascaling, Esigma, Hsigma)
# print('Ealpha {}'.format(Ealpha))
# print('Halpha {}'.format(Halpha))
# print('Ekappa {}'.format(Ekappa))
# print('Hkappa {}'.format(Hkappa))
# print('Esigma {}'.format(Esigma))
# print('Hsigma {}'.format(Hsigma))
# Electric PML update coefficients
tmp = (2*e0*Ekappa) + G.dt * (Ealpha * Ekappa + Esigma)
self.ERA[x, :] = (2*e0 + G.dt*Ealpha) / tmp
self.ERB[x, :] = (2*e0*Ekappa) / tmp
self.ERE[x, :] = ((2*e0*Ekappa) - G.dt * (Ealpha * Ekappa + Esigma)) / tmp
self.ERF[x, :] = (2*Esigma*G.dt) / (Ekappa * tmp)
# Magnetic PML update coefficients
tmp = (2*e0*Hkappa) + G.dt * (Halpha * Hkappa + Hsigma)
self.HRA[x, :] = (2*e0 + G.dt*Halpha) / tmp
self.HRB[x, :] = (2*e0*Hkappa) / tmp
self.HRE[x, :] = ((2*e0*Hkappa) - G.dt * (Halpha * Hkappa + Hsigma)) / tmp
self.HRF[x, :] = (2*Hsigma*G.dt) / (Hkappa * tmp)
# print('ERA {}'.format(self.ERA))
# print('ERB {}'.format(self.ERB))
# print('ERE {}'.format(self.ERE))
# print('ERF {}'.format(self.ERF))
# print('HRA {}'.format(self.HRA))
# print('HRB {}'.format(self.HRB))
# print('HRE {}'.format(self.HRE))
# print('HRF {}'.format(self.HRF))
def build_pml(G):
"""This function builds instances of the PML."""
if G.messages:
print('')
# Create the PML slabs
if G.pmlthickness[0] > 0:
pml = PML(direction='xminus', xf=G.pmlthickness[0], yf=G.ny, zf=G.nz, cfs=G.cfs)
if G.messages and G.pmlthickness.count(G.pmlthickness[0]) != len(G.pmlthickness):
print('PML {} slab with {} cells created.'.format(pml.direction, pml.thickness))
G.pmls.append(pml)
if G.pmlthickness[1] > 0:
pml = PML(direction='yminus', xf=G.nx, yf=G.pmlthickness[1], zf=G.nz, cfs=G.cfs)
if G.messages and G.pmlthickness.count(G.pmlthickness[0]) != len(G.pmlthickness):
print('PML {} slab with {} cells created.'.format(pml.direction, pml.thickness))
G.pmls.append(pml)
if G.pmlthickness[2] > 0:
pml = PML(direction='zminus', xf=G.nx, yf=G.ny, zf=G.pmlthickness[2], cfs=G.cfs)
if G.messages and G.pmlthickness.count(G.pmlthickness[0]) != len(G.pmlthickness):
print('PML {} slab with {} cells created.'.format(pml.direction, pml.thickness))
G.pmls.append(pml)
if G.pmlthickness[3] > 0:
pml = PML(direction='xplus', xs=G.nx-G.pmlthickness[3], xf=G.nx, yf=G.ny, zf=G.nz, cfs=G.cfs)
if G.messages and G.pmlthickness.count(G.pmlthickness[0]) != len(G.pmlthickness):
print('PML {} slab with {} cells created.'.format(pml.direction, pml.thickness))
G.pmls.append(pml)
if G.pmlthickness[4] > 0:
pml = PML(direction='yplus', xf=G.nx, ys=G.ny-G.pmlthickness[4], yf=G.ny, zf=G.nz, cfs=G.cfs)
if G.messages and G.pmlthickness.count(G.pmlthickness[0]) != len(G.pmlthickness):
print('PML {} slab with {} cells created.'.format(pml.direction, pml.thickness))
G.pmls.append(pml)
if G.pmlthickness[5] > 0:
pml = PML(direction='zplus', xf=G.nx, yf=G.ny, zs=G.nz-G.pmlthickness[5], zf=G.nz, cfs=G.cfs)
if G.messages and G.pmlthickness.count(G.pmlthickness[0]) != len(G.pmlthickness):
print('PML {} slab with {} cells created.'.format(pml.direction, pml.thickness))
G.pmls.append(pml)
if G.messages and G.pmlthickness.count(G.pmlthickness[0]) == len(G.pmlthickness):
if G.pmlthickness[0] == 0:
print('PML is switched off')
else:
print('PML: {} cells'.format(pml.thickness))
def calculate_initial_pml_params(G):
""" This function calculates the initial parameters and coefficients for PML including setting scaling
(based on underlying material er and mr from solid array).
"""
for pml in G.pmls:
sumer = 0
summr = 0
if pml.direction == 'xminus':
for j in range(G.ny):
for k in range(G.nz):
numID = G.solid[0, j, k]
material = next(x for x in G.materials if x.numID == numID)
sumer += material.er
summr += material.mr
averageer = sumer / (G.ny * G.nz)
averagemr = summr / (G.ny * G.nz)
elif pml.direction == 'xplus':
for j in range(G.ny):
for k in range(G.nz):
numID = G.solid[G.nx - pml.thickness, j, k]
material = next(x for x in G.materials if x.numID == numID)
sumer += material.er
summr += material.mr
averageer = sumer / (G.ny * G.nz)
averagemr = summr / (G.ny * G.nz)
elif pml.direction == 'yminus':
for i in range(G.nx):
for k in range(G.nz):
numID = G.solid[i, 0, k]
material = next(x for x in G.materials if x.numID == numID)
sumer += material.er
summr += material.mr
averageer = sumer / (G.nx * G.nz)
averagemr = summr / (G.nx * G.nz)
elif pml.direction == 'yplus':
for i in range(G.nx):
for k in range(G.nz):
numID = G.solid[i, G.ny - pml.thickness, k]
material = next(x for x in G.materials if x.numID == numID)
sumer += material.er
summr += material.mr
averageer = sumer / (G.nx * G.nz)
averagemr = summr / (G.nx * G.nz)
elif pml.direction == 'zminus':
for i in range(G.nx):
for j in range(G.ny):
numID = G.solid[i, j, 0]
material = next(x for x in G.materials if x.numID == numID)
sumer += material.er
summr += material.mr
averageer = sumer / (G.nx * G.ny)
averagemr = summr / (G.nx * G.ny)
elif pml.direction == 'zplus':
for i in range(G.nx):
for j in range(G.ny):
numID = G.solid[i, j, G.nz - pml.thickness]
material = next(x for x in G.materials if x.numID == numID)
sumer += material.er
summr += material.mr
averageer = sumer / (G.nx * G.ny)
averagemr = summr / (G.nx * G.ny)
pml.calculate_update_coeffs(averageer, averagemr, G)

665
gprMax/pml_1order_update.pyx 普通文件
查看文件

@@ -0,0 +1,665 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import numpy as np
cimport numpy as np
from cython.parallel import prange
from .constants cimport floattype_t, complextype_t
#############################################
# Electric field PML updates - Ex component #
#############################################
cpdef update_pml_1order_ex_yplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ex, floattype_t[:, :, :] Hz, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dy):
"""This function updates the Ex field components in the y stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHz
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[0, i + xs, j + ys, k + zs]
dHz = (Hz[i + xs, j + ys, k + zs] - Hz[i + xs, j - 1 + ys, k + zs]) / dy
Ex[i + xs, j + ys, k + zs] = Ex[i + xs, j + ys, k + zs] + updatecoeffsE[listIndex, 4] * ((RA[0, j] - 1) * dHz + RB[0, j] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, j] * EPhi[0, i, j, k] - RF[0, j] * dHz
cpdef update_pml_1order_ex_yminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ex, floattype_t[:, :, :] Hz, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dy):
"""This function updates the Ex field components in the y stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHz
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[0, i + xs, yf - j, k + zs]
dHz = (Hz[i + xs, yf - j, k + zs] - Hz[i + xs, yf - j - 1, k + zs]) / dy
Ex[i + xs, yf - j, k + zs] = Ex[i + xs, yf - j, k + zs] + updatecoeffsE[listIndex, 4] * ((RA[0, j] - 1) * dHz + RB[0, j] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, j] * EPhi[0, i, j, k] - RF[0, j] * dHz
cpdef update_pml_1order_ex_zplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ex, floattype_t[:, :, :] Hy, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dz):
"""This function updates the Ex field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHy
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[0, i + xs, j + ys, k + zs]
dHy = (Hy[i + xs, j + ys, k + zs] - Hy[i + xs, j + ys, k - 1 + zs]) / dz
Ex[i + xs, j + ys, k + zs] = Ex[i + xs, j + ys, k + zs] - updatecoeffsE[listIndex, 4] * ((RA[0, k] - 1) * dHy + RB[0, k] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, k] * EPhi[0, i, j, k] - RF[0, k] * dHy
cpdef update_pml_1order_ex_zminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ex, floattype_t[:, :, :] Hy, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dz):
"""This function updates the Ex field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHy
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[0, i + xs, j + ys, zf - k]
dHy = (Hy[i + xs, j + ys, zf - k] - Hy[i + xs, j + ys, zf - k - 1]) / dz
Ex[i + xs, j + ys, zf - k] = Ex[i + xs, j + ys, zf - k] - updatecoeffsE[listIndex, 4] * ((RA[0, k] - 1) * dHy + RB[0, k] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, k] * EPhi[0, i, j, k] - RF[0, k] * dHy
#############################################
# Electric field PML updates - Ey component #
#############################################
cpdef update_pml_1order_ey_xplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ey, floattype_t[:, :, :] Hz, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dx):
"""This function updates the Ey field components in the x stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHz
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[1, i + xs, j + ys, k + zs]
dHz = (Hz[i + xs, j + ys, k + zs] - Hz[i - 1 + xs, j + ys, k + zs]) / dx
Ey[i + xs, j + ys, k + zs] = Ey[i + xs, j + ys, k + zs] - updatecoeffsE[listIndex, 4] * ((RA[0, i] - 1) * dHz + RB[0, i] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, i] * EPhi[0, i, j, k] - RF[0, i] * dHz
cpdef update_pml_1order_ey_xminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ey, floattype_t[:, :, :] Hz, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dx):
"""This function updates the Ey field components in the x stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHz
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[1, xf - i, j + ys, k + zs]
dHz = (Hz[xf - i, j + ys, k + zs] - Hz[xf - i - 1, j + ys, k + zs]) / dx
Ey[xf - i, j + ys, k + zs] = Ey[xf - i, j + ys, k + zs] - updatecoeffsE[listIndex, 4] * ((RA[0, i] - 1) * dHz + RB[0, i] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, i] * EPhi[0, i, j, k] - RF[0, i] * dHz
cpdef update_pml_1order_ey_zplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ey, floattype_t[:, :, :] Hx, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dz):
"""This function updates the Ey field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHx
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[1, i + xs, j + ys, k + zs]
dHx = (Hx[i + xs, j + ys, k + zs] - Hx[i + xs, j + ys, k - 1 + zs]) / dz
Ey[i + xs, j + ys, k + zs] = Ey[i + xs, j + ys, k + zs] + updatecoeffsE[listIndex, 4] * ((RA[0, k] - 1) * dHx + RB[0, k] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, k] * EPhi[0, i, j, k] - RF[0, k] * dHx
cpdef update_pml_1order_ey_zminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ey, floattype_t[:, :, :] Hx, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dz):
"""This function updates the Ey field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHx
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[1, i + xs, j + ys, zf - k]
dHx = (Hx[i + xs, j + ys, zf - k] - Hx[i + xs, j + ys, zf - k - 1]) / dz
Ey[i + xs, j + ys, zf - k] = Ey[i + xs, j + ys, zf - k] + updatecoeffsE[listIndex, 4] * ((RA[0, k] - 1) * dHx + RB[0, k] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, k] * EPhi[0, i, j, k] - RF[0, k] * dHx
#############################################
# Electric field PML updates - Ez component #
#############################################
cpdef update_pml_1order_ez_xplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ez, floattype_t[:, :, :] Hy, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dx):
"""This function updates the Ey field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHy
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[2, i + xs, j + ys, k + zs]
dHy = (Hy[i + xs, j + ys, k + zs] - Hy[i - 1 + xs, j + ys, k + zs]) / dx
Ez[i + xs, j + ys, k + zs] = Ez[i + xs, j + ys, k + zs] + updatecoeffsE[listIndex, 4] * ((RA[0, i] - 1) * dHy + RB[0, i] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, i] * EPhi[0, i, j, k] - RF[0, i] * dHy
cpdef update_pml_1order_ez_xminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ez, floattype_t[:, :, :] Hy, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dx):
"""This function updates the Ez field components in the x stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHy
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[2, xf - i, j + ys, k + zs]
dHy = (Hy[xf - i, j + ys, k + zs] - Hy[xf - i - 1, j + ys, k + zs]) / dx
Ez[xf - i, j + ys, k + zs] = Ez[xf - i, j + ys, k + zs] + updatecoeffsE[listIndex, 4] * ((RA[0, i] - 1) * dHy + RB[0, i] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, i] * EPhi[0, i, j, k] - RF[0, i] * dHy
cpdef update_pml_1order_ez_yplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ez, floattype_t[:, :, :] Hx, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dy):
"""This function updates the Ez field components in the y stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHx
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[2, i + xs, j + ys, k + zs]
dHx = (Hx[i + xs, j + ys, k + zs] - Hx[i + xs, j - 1 + ys, k + zs]) / dy
Ez[i + xs, j + ys, k + zs] = Ez[i + xs, j + ys, k + zs] - updatecoeffsE[listIndex, 4] * ((RA[0, j] - 1) * dHx + RB[0, j] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, j] * EPhi[0, i, j, k] - RF[0, j] * dHx
cpdef update_pml_1order_ez_yminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ez, floattype_t[:, :, :] Hx, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dy):
"""This function updates the Ez field components in the y stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHx
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[2, i + xs, yf - j, k + zs]
dHx = (Hx[i + xs, yf - j, k + zs] - Hx[i + xs, yf - j - 1, k + zs]) / dy
Ez[i + xs, yf - j, k + zs] = Ez[i + xs, yf - j, k + zs] - updatecoeffsE[listIndex, 4] * ((RA[0, j] - 1) * dHx + RB[0, j] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, j] * EPhi[0, i, j, k] - RF[0, j] * dHx
#############################################
# Magnetic field PML updates - Hx component #
#############################################
cpdef update_pml_1order_hx_yplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hx, floattype_t[:, :, :] Ez, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dy):
"""This function updates the Hx field components in the y stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEz
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[3, i + xs, j + ys, k + zs]
dEz = (Ez[i + xs, j + 1 + ys, k + zs] - Ez[i + xs, j + ys, k + zs]) / dy
Hx[i + xs, j + ys, k + zs] = Hx[i + xs, j + ys, k + zs] - updatecoeffsH[listIndex, 4] * ((RA[0, j] - 1) * dEz + RB[0, j] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, j] * HPhi[0, i, j, k] - RF[0, j] * dEz
cpdef update_pml_1order_hx_yminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hx, floattype_t[:, :, :] Ez, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dy):
"""This function updates the Hx field components in the y stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEz
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[3, i + xs, yf - (j + 1), k + zs]
dEz = (Ez[i + xs, yf - j, k + zs] - Ez[i + xs, yf - (j + 1), k + zs]) / dy
Hx[i + xs, yf - (j + 1), k + zs] = Hx[i + xs, yf - (j + 1), k + zs] - updatecoeffsH[listIndex, 4] * ((RA[0, j] - 1) * dEz + RB[0, j] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, j] * HPhi[0, i, j, k] - RF[0, j] * dEz
cpdef update_pml_1order_hx_zplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hx, floattype_t[:, :, :] Ey, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dz):
"""This function updates the Hx field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEy
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[3, i + xs, j + ys, k + zs]
dEy = (Ey[i + xs, j + ys, k + 1 + zs] - Ey[i + xs, j + ys, k + zs]) / dz
Hx[i + xs, j + ys, k + zs] = Hx[i + xs, j + ys, k + zs] + updatecoeffsH[listIndex, 4] * ((RA[0, k] - 1) * dEy + RB[0, k] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, k] * HPhi[0, i, j, k] - RF[0, k] * dEy
cpdef update_pml_1order_hx_zminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hx, floattype_t[:, :, :] Ey, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dz):
"""This function updates the Hx field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEy
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[3, i + xs, j + ys, zf - (k + 1)]
dEy = (Ey[i + xs, j + ys, zf - k] - Ey[i + xs, j + ys, zf - (k + 1)]) / dz
Hx[i + xs, j + ys, zf - (k + 1)] = Hx[i + xs, j + ys, zf - (k + 1)] + updatecoeffsH[listIndex, 4] * ((RA[0, k] - 1) * dEy + RB[0, k] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, k] * HPhi[0, i, j, k] - RF[0, k] * dEy
#############################################
# Magnetic field PML updates - Hy component #
#############################################
cpdef update_pml_1order_hy_xplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hy, floattype_t[:, :, :] Ez, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dx):
"""This function updates the Hy field components in the x stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEz
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[4, i + xs, j + ys, k + zs]
dEz = (Ez[i + 1 + xs, j + ys, k + zs] - Ez[i + xs, j + ys, k + zs]) / dx
Hy[i + xs, j + ys, k + zs] = Hy[i + xs, j + ys, k + zs] + updatecoeffsH[listIndex, 4] * ((RA[0, i] - 1) * dEz + RB[0, i] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, i] * HPhi[0, i, j, k] - RF[0, i] * dEz
cpdef update_pml_1order_hy_xminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hy, floattype_t[:, :, :] Ez, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dx):
"""This function updates the Hy field components in the x stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEz
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[4, xf - (i + 1), j + ys, k + zs]
dEz = (Ez[xf - i, j + ys, k + zs] - Ez[xf - (i + 1), j + ys, k + zs]) / dx
Hy[xf - (i + 1), j + ys, k + zs] = Hy[xf - (i + 1), j + ys, k + zs] + updatecoeffsH[listIndex, 4] * ((RA[0, i] - 1) * dEz + RB[0, i] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, i] * HPhi[0, i, j, k] - RF[0, i] * dEz
cpdef update_pml_1order_hy_zplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hy, floattype_t[:, :, :] Ex, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dz):
"""This function updates the Hy field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEx
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[4, i + xs, j + ys, k + zs]
dEx = (Ex[i + xs, j + ys, k + 1 + zs] - Ex[i + xs, j + ys, k + zs]) / dz
Hy[i + xs, j + ys, k + zs] = Hy[i + xs, j + ys, k + zs] - updatecoeffsH[listIndex, 4] * ((RA[0, k] - 1) * dEx + RB[0, k] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, k] * HPhi[0, i, j, k] - RF[0, k] * dEx
cpdef update_pml_1order_hy_zminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hy, floattype_t[:, :, :] Ex, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dz):
"""This function updates the Hy field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEx
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[4, i + xs, j + ys, zf - (k + 1)]
dEx = (Ex[i + xs, j + ys, zf - k] - Ex[i + xs, j + ys, zf - (k + 1)]) / dz
Hy[i + xs, j + ys, zf - (k + 1)] = Hy[i + xs, j + ys, zf - (k + 1)] - updatecoeffsH[listIndex, 4] * ((RA[0, k] - 1) * dEx + RB[0, k] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, k] * HPhi[0, i, j, k] - RF[0, k] * dEx
#############################################
# Magnetic field PML updates - Hz component #
#############################################
cpdef update_pml_1order_hz_xplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hz, floattype_t[:, :, :] Ey, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dx):
"""This function updates the Hz field components in the x stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEy
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[5, i + xs, j + ys, k + zs]
dEy = (Ey[i + 1 + xs, j + ys, k + zs] - Ey[i + xs, j + ys, k + zs]) / dx
Hz[i + xs, j + ys, k + zs] = Hz[i + xs, j + ys, k + zs] - updatecoeffsH[listIndex, 4] * ((RA[0, i] - 1) * dEy + RB[0, i] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, i] * HPhi[0, i, j, k] - RF[0, i] * dEy
cpdef update_pml_1order_hz_xminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hz, floattype_t[:, :, :] Ey, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dx):
"""This function updates the Hz field components in the x stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEy
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[5, xf - (i + 1), j + ys, k + zs]
dEy = (Ey[xf - i, j + ys, k + zs] - Ey[xf - (i + 1), j + ys, k + zs]) / dx
Hz[xf - (i + 1), j + ys, k + zs] = Hz[xf - (i + 1), j + ys, k + zs] - updatecoeffsH[listIndex, 4] * ((RA[0, i] - 1) * dEy + RB[0, i] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, i] * HPhi[0, i, j, k] - RF[0, i] * dEy
cpdef update_pml_1order_hz_yplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hz, floattype_t[:, :, :] Ex, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dy):
"""This function updates the Hz field components in the y stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEx
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[5, i + xs, j + ys, k + zs]
dEx = (Ex[i + xs, j + 1 + ys, k + zs] - Ex[i + xs, j + ys, k + zs]) / dy
Hz[i + xs, j + ys, k + zs] = Hz[i + xs, j + ys, k + zs] + updatecoeffsH[listIndex, 4] * ((RA[0, j] - 1) * dEx + RB[0, j] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, j] * HPhi[0, i, j, k] - RF[0, j] * dEx
cpdef update_pml_1order_hz_yminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hz, floattype_t[:, :, :] Ex, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dy):
"""This function updates the Hz field components in the y stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEx
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[5, i + xs, yf - (j + 1), k + zs]
dEx = (Ex[i + xs, yf - j, k + zs] - Ex[i + xs, yf - (j + 1), k + zs]) / dy
Hz[i + xs, yf - (j + 1), k + zs] = Hz[i + xs, yf - (j + 1), k + zs] + updatecoeffsH[listIndex, 4] * ((RA[0, j] - 1) * dEx + RB[0, j] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, j] * HPhi[0, i, j, k] - RF[0, j] * dEx

689
gprMax/pml_2order_update.pyx 普通文件
查看文件

@@ -0,0 +1,689 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import numpy as np
cimport numpy as np
from cython.parallel import prange
from .constants cimport floattype_t, complextype_t
#############################################
# Electric field PML updates - Ex component #
#############################################
cpdef update_pml_2order_ex_yplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ex, floattype_t[:, :, :] Hz, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dy):
"""This function updates the Ex field components in the y stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHz
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[0, i + xs, j + ys, k + zs]
dHz = (Hz[i + xs, j + ys, k + zs] - Hz[i + xs, j - 1 + ys, k + zs]) / dy
Ex[i + xs, j + ys, k + zs] = Ex[i + xs, j + ys, k + zs] + updatecoeffsE[listIndex, 4] * ((RA[0, j] * RA[1, j] - 1) * dHz + RA[1, j] * RB[0, j] * EPhi[0, i, j, k] + RB[1, j] * EPhi[1, i, j, k])
EPhi[1, i, j, k] = RE[1, j] * EPhi[1, i, j, k] - RF[1, j] * (RA[0, j] * dHz + RB[0, j] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, j] * EPhi[0, i, j, k] - RF[0, j] * dHz
cpdef update_pml_2order_ex_yminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ex, floattype_t[:, :, :] Hz, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dy):
"""This function updates the Ex field components in the y stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHz
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[0, i + xs, yf - j, k + zs]
dHz = (Hz[i + xs, yf - j, k + zs] - Hz[i + xs, yf - j - 1, k + zs]) / dy
Ex[i + xs, yf - j, k + zs] = Ex[i + xs, yf - j, k + zs] + updatecoeffsE[listIndex, 4] * ((RA[0, j] * RA[1, j] - 1) * dHz + RA[1, j] * RB[0, j] * EPhi[0, i, j, k] + RB[1, j] * EPhi[1, i, j, k])
EPhi[1, i, j, k] = RE[1, j] * EPhi[1, i, j, k] - RF[1, j] * (RA[0, j] * dHz + RB[0, j] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, j] * EPhi[0, i, j, k] - RF[0, j] * dHz
cpdef update_pml_2order_ex_zplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ex, floattype_t[:, :, :] Hy, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dz):
"""This function updates the Ex field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHy
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[0, i + xs, j + ys, k + zs]
dHy = (Hy[i + xs, j + ys, k + zs] - Hy[i + xs, j + ys, k - 1 + zs]) / dz
Ex[i + xs, j + ys, k + zs] = Ex[i + xs, j + ys, k + zs] - updatecoeffsE[listIndex, 4] * ((RA[0, k] * RA[1, k] - 1) * dHy + RA[1, k] * RB[0, k] * EPhi[0, i, j, k] + RB[1, k] * EPhi[1, i, j, k])
EPhi[1, i, j, k] = RE[1, k] * EPhi[1, i, j, k] - RF[1, k] * (RA[0, k] * dHy + RB[0, k] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, k] * EPhi[0, i, j, k] - RF[0, k] * dHy
cpdef update_pml_2order_ex_zminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ex, floattype_t[:, :, :] Hy, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dz):
"""This function updates the Ex field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHy
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[0, i + xs, j + ys, zf - k]
dHy = (Hy[i + xs, j + ys, zf - k] - Hy[i + xs, j + ys, zf - k - 1]) / dz
Ex[i + xs, j + ys, zf - k] = Ex[i + xs, j + ys, zf - k] - updatecoeffsE[listIndex, 4] * ((RA[0, k] * RA[1, k] - 1) * dHy + RA[1, k] * RB[0, k] * EPhi[0, i, j, k] + RB[1, k] * EPhi[1, i, j, k])
EPhi[1, i, j, k] = RE[1, k] * EPhi[1, i, j, k] - RF[1, k] * (RA[0, k] * dHy + RB[0, k] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, k] * EPhi[0, i, j, k] - RF[0, k] * dHy
#############################################
# Electric field PML updates - Ey component #
#############################################
cpdef update_pml_2order_ey_xplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ey, floattype_t[:, :, :] Hz, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dx):
"""This function updates the Ey field components in the x stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHz
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[1, i + xs, j + ys, k + zs]
dHz = (Hz[i + xs, j + ys, k + zs] - Hz[i - 1 + xs, j + ys, k + zs]) / dx
Ey[i + xs, j + ys, k + zs] = Ey[i + xs, j + ys, k + zs] - updatecoeffsE[listIndex, 4] * ((RA[0, i] * RA[1, i] - 1) * dHz + RA[1, i] * RB[0, i] * EPhi[0, i, j, k] + RB[1, i] * EPhi[1, i, j, k])
EPhi[1, i, j, k] = RE[1, i] * EPhi[1, i, j, k] - RF[1, i] * (RA[0, i] * dHz + RB[0, i] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, i] * EPhi[0, i, j, k] - RF[0, i] * dHz
cpdef update_pml_2order_ey_xminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ey, floattype_t[:, :, :] Hz, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dx):
"""This function updates the Ey field components in the x stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHz
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[1, xf - i, j + ys, k + zs]
dHz = (Hz[xf - i, j + ys, k + zs] - Hz[xf - i - 1, j + ys, k + zs]) / dx
Ey[xf - i, j + ys, k + zs] = Ey[xf - i, j + ys, k + zs] - updatecoeffsE[listIndex, 4] * ((RA[0, i] * RA[1, i] - 1) * dHz + RA[1, i] * RB[0, i] * EPhi[0, i, j, k] + RB[1, i] * EPhi[1, i, j, k])
EPhi[1, i, j, k] = RE[1, i] * EPhi[1, i, j, k] - RF[1, i] * (RA[0, i] * dHz + RB[0, i] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, i] * EPhi[0, i, j, k] - RF[0, i] * dHz
cpdef update_pml_2order_ey_zplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ey, floattype_t[:, :, :] Hx, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dz):
"""This function updates the Ey field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHx
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[1, i + xs, j + ys, k + zs]
dHx = (Hx[i + xs, j + ys, k + zs] - Hx[i + xs, j + ys, k - 1 + zs]) / dz
Ey[i + xs, j + ys, k + zs] = Ey[i + xs, j + ys, k + zs] + updatecoeffsE[listIndex, 4] * ((RA[0, k] * RA[1, k] - 1) * dHx + RA[1, k] * RB[0, k] * EPhi[0, i, j, k] + RB[1, k] * EPhi[1, i, j, k])
EPhi[1, i, j, k] = RE[1, k] * EPhi[1, i, j, k] - RF[1, k] * (RA[0, k] * dHx + RB[0, k] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, k] * EPhi[0, i, j, k] - RF[0, k] * dHx
cpdef update_pml_2order_ey_zminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ey, floattype_t[:, :, :] Hx, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dz):
"""This function updates the Ey field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHx
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[1, i + xs, j + ys, zf - k]
dHx = (Hx[i + xs, j + ys, zf - k] - Hx[i + xs, j + ys, zf - k - 1]) / dz
Ey[i + xs, j + ys, zf - k] = Ey[i + xs, j + ys, zf - k] + updatecoeffsE[listIndex, 4] * ((RA[0, k] * RA[1, k] - 1) * dHx + RA[1, k] * RB[0, k] * EPhi[0, i, j, k] + RB[1, k] * EPhi[1, i, j, k])
EPhi[1, i, j, k] = RE[1, k] * EPhi[1, i, j, k] - RF[1, k] * (RA[0, k] * dHx + RB[0, k] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, k] * EPhi[0, i, j, k] - RF[0, k] * dHx
#############################################
# Electric field PML updates - Ez component #
#############################################
cpdef update_pml_2order_ez_xplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ez, floattype_t[:, :, :] Hy, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dx):
"""This function updates the Ey field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHy
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[2, i + xs, j + ys, k + zs]
dHy = (Hy[i + xs, j + ys, k + zs] - Hy[i - 1 + xs, j + ys, k + zs]) / dx
Ez[i + xs, j + ys, k + zs] = Ez[i + xs, j + ys, k + zs] + updatecoeffsE[listIndex, 4] * ((RA[0, i] * RA[1, i] - 1) * dHy + RA[1, i] * RB[0, i] * EPhi[0, i, j, k] + RB[1, i] * EPhi[1, i, j, k])
EPhi[1, i, j, k] = RE[1, i] * EPhi[1, i, j, k] - RF[1, i] * (RA[0, i] * dHy + RB[0, i] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, i] * EPhi[0, i, j, k] - RF[0, i] * dHy
cpdef update_pml_2order_ez_xminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ez, floattype_t[:, :, :] Hy, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dx):
"""This function updates the Ez field components in the x stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHy
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[2, xf - i, j + ys, k + zs]
dHy = (Hy[xf - i, j + ys, k + zs] - Hy[xf - i - 1, j + ys, k + zs]) / dx
Ez[xf - i, j + ys, k + zs] = Ez[xf - i, j + ys, k + zs] + updatecoeffsE[listIndex, 4] * ((RA[0, i] * RA[1, i] - 1) * dHy + RA[1, i] * RB[0, i] * EPhi[0, i, j, k] + RB[1, i] * EPhi[1, i, j, k])
EPhi[1, i, j, k] = RE[1, i] * EPhi[1, i, j, k] - RF[1, i] * (RA[0, i] * dHy + RB[0, i] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, i] * EPhi[0, i, j, k] - RF[0, i] * dHy
cpdef update_pml_2order_ez_yplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ez, floattype_t[:, :, :] Hx, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dy):
"""This function updates the Ez field components in the y stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHx
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[2, i + xs, j + ys, k + zs]
dHx = (Hx[i + xs, j + ys, k + zs] - Hx[i + xs, j - 1 + ys, k + zs]) / dy
Ez[i + xs, j + ys, k + zs] = Ez[i + xs, j + ys, k + zs] - updatecoeffsE[listIndex, 4] * ((RA[0, j] * RA[1, j] - 1) * dHx + RA[1, j] * RB[0, j] * EPhi[0, i, j, k] + RB[1, j] * EPhi[1, i, j, k])
EPhi[1, i, j, k] = RE[1, j] * EPhi[1, i, j, k] - RF[1, j] * (RA[0, j] * dHx + RB[0, j] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, j] * EPhi[0, i, j, k] - RF[0, j] * dHx
cpdef update_pml_2order_ez_yminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsE, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Ez, floattype_t[:, :, :] Hx, floattype_t[:, :, :, :] EPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dy):
"""This function updates the Ez field components in the y stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dHx
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[2, i + xs, yf - j, k + zs]
dHx = (Hx[i + xs, yf - j, k + zs] - Hx[i + xs, yf - j - 1, k + zs]) / dy
Ez[i + xs, yf - j, k + zs] = Ez[i + xs, yf - j, k + zs] - updatecoeffsE[listIndex, 4] * ((RA[0, j] * RA[1, j] - 1) * dHx + RA[1, j] * RB[0, j] * EPhi[0, i, j, k] + RB[1, j] * EPhi[1, i, j, k])
EPhi[1, i, j, k] = RE[1, j] * EPhi[1, i, j, k] - RF[1, j] * (RA[0, j] * dHx + RB[0, j] * EPhi[0, i, j, k])
EPhi[0, i, j, k] = RE[0, j] * EPhi[0, i, j, k] - RF[0, j] * dHx
#############################################
# Magnetic field PML updates - Hx component #
#############################################
cpdef update_pml_2order_hx_yplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hx, floattype_t[:, :, :] Ez, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dy):
"""This function updates the Hx field components in the y stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEz
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[3, i + xs, j + ys, k + zs]
dEz = (Ez[i + xs, j + 1 + ys, k + zs] - Ez[i + xs, j + ys, k + zs]) / dy
Hx[i + xs, j + ys, k + zs] = Hx[i + xs, j + ys, k + zs] - updatecoeffsH[listIndex, 4] * ((RA[0, j] * RA[1, j] - 1) * dEz + RA[1, j] * RB[0, j] * HPhi[0, i, j, k] + RB[1, j] * HPhi[1, i, j, k])
HPhi[1, i, j, k] = RE[1, j] * HPhi[1, i, j, k] - RF[1, j] * (RA[0, j] * dEz + RB[0, j] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, j] * HPhi[0, i, j, k] - RF[0, j] * dEz
cpdef update_pml_2order_hx_yminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hx, floattype_t[:, :, :] Ez, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dy):
"""This function updates the Hx field components in the y stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEz
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[3, i + xs, yf - (j + 1), k + zs]
dEz = (Ez[i + xs, yf - j, k + zs] - Ez[i + xs, yf - (j + 1), k + zs]) / dy
Hx[i + xs, yf - (j + 1), k + zs] = Hx[i + xs, yf - (j + 1), k + zs] - updatecoeffsH[listIndex, 4] * ((RA[0, j] * RA[1, j] - 1) * dEz + RA[1, j] * RB[0, j] * HPhi[0, i, j, k] + RB[1, j] * HPhi[1, i, j, k])
HPhi[1, i, j, k] = RE[1, j] * HPhi[1, i, j, k] - RF[1, j] * (RA[0, j] * dEz + RB[0, j] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, j] * HPhi[0, i, j, k] - RF[0, j] * dEz
cpdef update_pml_2order_hx_zplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hx, floattype_t[:, :, :] Ey, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dz):
"""This function updates the Hx field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEy
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[3, i + xs, j + ys, k + zs]
dEy = (Ey[i + xs, j + ys, k + 1 + zs] - Ey[i + xs, j + ys, k + zs]) / dz
Hx[i + xs, j + ys, k + zs] = Hx[i + xs, j + ys, k + zs] + updatecoeffsH[listIndex, 4] * ((RA[0, k] * RA[1, k] - 1) * dEy + RA[1, k] * RB[0, k] * HPhi[0, i, j, k] + RB[1, k] * HPhi[1, i, j, k])
HPhi[1, i, j, k] = RE[1, k] * HPhi[1, i, j, k] - RF[1, k] * (RA[0, k] * dEy + RB[0, k] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, k] * HPhi[0, i, j, k] - RF[0, k] * dEy
cpdef update_pml_2order_hx_zminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hx, floattype_t[:, :, :] Ey, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dz):
"""This function updates the Hx field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEy
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[3, i + xs, j + ys, zf - (k + 1)]
dEy = (Ey[i + xs, j + ys, zf - k] - Ey[i + xs, j + ys, zf - (k + 1)]) / dz
Hx[i + xs, j + ys, zf - (k + 1)] = Hx[i + xs, j + ys, zf - (k + 1)] + updatecoeffsH[listIndex, 4] * ((RA[0, k] * RA[1, k] - 1) * dEy + RA[1, k] * RB[0, k] * HPhi[0, i, j, k] + RB[1, k] * HPhi[1, i, j, k])
HPhi[1, i, j, k] = RE[1, k] * HPhi[1, i, j, k] - RF[1, k] * (RA[0, k] * dEy + RB[0, k] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, k] * HPhi[0, i, j, k] - RF[0, k] * dEy
#############################################
# Magnetic field PML updates - Hy component #
#############################################
cpdef update_pml_2order_hy_xplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hy, floattype_t[:, :, :] Ez, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dx):
"""This function updates the Hy field components in the x stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEz
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[4, i + xs, j + ys, k + zs]
dEz = (Ez[i + 1 + xs, j + ys, k + zs] - Ez[i + xs, j + ys, k + zs]) / dx
Hy[i + xs, j + ys, k + zs] = Hy[i + xs, j + ys, k + zs] + updatecoeffsH[listIndex, 4] * ((RA[0, i] * RA[1, i] - 1) * dEz + RA[1, i] * RB[0, i] * HPhi[0, i, j, k] + RB[1, i] * HPhi[1, i, j, k])
HPhi[1, i, j, k] = RE[1, i] * HPhi[1, i, j, k] - RF[1, i] * (RA[0, i] * dEz + RB[0, i] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, i] * HPhi[0, i, j, k] - RF[0, i] * dEz
cpdef update_pml_2order_hy_xminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hy, floattype_t[:, :, :] Ez, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dx):
"""This function updates the Hy field components in the x stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEz
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[4, xf - (i + 1), j + ys, k + zs]
dEz = (Ez[xf - i, j + ys, k + zs] - Ez[xf - (i + 1), j + ys, k + zs]) / dx
Hy[xf - (i + 1), j + ys, k + zs] = Hy[xf - (i + 1), j + ys, k + zs] + updatecoeffsH[listIndex, 4] * ((RA[0, i] * RA[1, i] - 1) * dEz + RA[1, i] * RB[0, i] * HPhi[0, i, j, k] + RB[1, i] * HPhi[1, i, j, k])
HPhi[1, i, j, k] = RE[1, i] * HPhi[1, i, j, k] - RF[1, i] * (RA[0, i] * dEz + RB[0, i] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, i] * HPhi[0, i, j, k] - RF[0, i] * dEz
cpdef update_pml_2order_hy_zplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hy, floattype_t[:, :, :] Ex, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dz):
"""This function updates the Hy field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEx
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[4, i + xs, j + ys, k + zs]
dEx = (Ex[i + xs, j + ys, k + 1 + zs] - Ex[i + xs, j + ys, k + zs]) / dz
Hy[i + xs, j + ys, k + zs] = Hy[i + xs, j + ys, k + zs] - updatecoeffsH[listIndex, 4] * ((RA[0, k] * RA[1, k] - 1) * dEx + RA[1, k] * RB[0, k] * HPhi[0, i, j, k] + RB[1, k] * HPhi[1, i, j, k])
HPhi[1, i, j, k] = RE[1, k] * HPhi[1, i, j, k] - RF[1, k] * (RA[0, k] * dEx + RB[0, k] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, k] * HPhi[0, i, j, k] - RF[0, k] * dEx
cpdef update_pml_2order_hy_zminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hy, floattype_t[:, :, :] Ex, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dz):
"""This function updates the Hy field components in the z stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEx
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[4, i + xs, j + ys, zf - (k + 1)]
dEx = (Ex[i + xs, j + ys, zf - k] - Ex[i + xs, j + ys, zf - (k + 1)]) / dz
Hy[i + xs, j + ys, zf - (k + 1)] = Hy[i + xs, j + ys, zf - (k + 1)] - updatecoeffsH[listIndex, 4] * ((RA[0, k] * RA[1, k] - 1) * dEx + RA[1, k] * RB[0, k] * HPhi[0, i, j, k] + RB[1, k] * HPhi[1, i, j, k])
HPhi[1, i, j, k] = RE[1, k] * HPhi[1, i, j, k] - RF[1, k] * (RA[0, k] * dEx + RB[0, k] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, k] * HPhi[0, i, j, k] - RF[0, k] * dEx
#############################################
# Magnetic field PML updates - Hz component #
#############################################
cpdef update_pml_2order_hz_xplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hz, floattype_t[:, :, :] Ey, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dx):
"""This function updates the Hz field components in the x stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEy
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[5, i + xs, j + ys, k + zs]
dEy = (Ey[i + 1 + xs, j + ys, k + zs] - Ey[i + xs, j + ys, k + zs]) / dx
Hz[i + xs, j + ys, k + zs] = Hz[i + xs, j + ys, k + zs] - updatecoeffsH[listIndex, 4] * ((RA[0, i] * RA[1, i] - 1) * dEy + RA[1, i] * RB[0, i] * HPhi[0, i, j, k] + RB[1, i] * HPhi[1, i, j, k])
HPhi[1, i, j, k] = RE[1, i] * HPhi[1, i, j, k] - RF[1, i] * (RA[0, i] * dEy + RB[0, i] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, i] * HPhi[0, i, j, k] - RF[0, i] * dEy
cpdef update_pml_2order_hz_xminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hz, floattype_t[:, :, :] Ey, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dx):
"""This function updates the Hz field components in the x stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEy
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[5, xf - (i + 1), j + ys, k + zs]
dEy = (Ey[xf - i, j + ys, k + zs] - Ey[xf - (i + 1), j + ys, k + zs]) / dx
Hz[xf - (i + 1), j + ys, k + zs] = Hz[xf - (i + 1), j + ys, k + zs] - updatecoeffsH[listIndex, 4] * ((RA[0, i] * RA[1, i] - 1) * dEy + RA[1, i] * RB[0, i] * HPhi[0, i, j, k] + RB[1, i] * HPhi[1, i, j, k])
HPhi[1, i, j, k] = RE[1, i] * HPhi[1, i, j, k] - RF[1, i] * (RA[0, i] * dEy + RB[0, i] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, i] * HPhi[0, i, j, k] - RF[0, i] * dEy
cpdef update_pml_2order_hz_yplus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hz, floattype_t[:, :, :] Ex, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dy):
"""This function updates the Hz field components in the y stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEx
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[5, i + xs, j + ys, k + zs]
dEx = (Ex[i + xs, j + 1 + ys, k + zs] - Ex[i + xs, j + ys, k + zs]) / dy
Hz[i + xs, j + ys, k + zs] = Hz[i + xs, j + ys, k + zs] + updatecoeffsH[listIndex, 4] * ((RA[0, j] * RA[1, j] - 1) * dEx + RA[1, j] * RB[0, j] * HPhi[0, i, j, k] + RB[1, j] * HPhi[1, i, j, k])
HPhi[1, i, j, k] = RE[1, j] * HPhi[1, i, j, k] - RF[1, j] * (RA[0, j] * dEx + RB[0, j] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, j] * HPhi[0, i, j, k] - RF[0, j] * dEx
cpdef update_pml_2order_hz_yminus(int xs, int xf, int ys, int yf, int zs, int zf, int nthreads, floattype_t[:, :] updatecoeffsH, np.uint32_t[:, :, :, :] ID, floattype_t[:, :, :] Hz, floattype_t[:, :, :] Ex, floattype_t[:, :, :, :] HPhi, floattype_t[:, :] RA, floattype_t[:, :] RB, floattype_t[:, :] RE, floattype_t[:, :] RF, float dy):
"""This function updates the Hz field components in the y stretching direction.
Args:
xs, xf, ys, yf, zs, zf (int): Cell coordinates of entire box
nthreads (int): Number of threads to use
updatecoeffs, ID, E, H (memoryviews): Access to update coeffients, ID and field component arrays
EPhi, HPhi, RA, RB, RE, RF (memoryviews): Access to PML coefficient arrays
dx, dy, dz (float): Spatial discretisation
"""
cdef int i, j, k, nx, ny, nz, listIndex
cdef float dEx
nx = xf - xs
ny = yf - ys
nz = zf - zs
for i in prange(0, nx, nogil=True, schedule='static', chunksize=1, num_threads=nthreads):
for j in range(0, ny):
for k in range(0, nz):
listIndex = ID[5, i + xs, yf - (j + 1), k + zs]
dEx = (Ex[i + xs, yf - j, k + zs] - Ex[i + xs, yf - (j + 1), k + zs]) / dy
Hz[i + xs, yf - (j + 1), k + zs] = Hz[i + xs, yf - (j + 1), k + zs] + updatecoeffsH[listIndex, 4] * ((RA[0, j] * RA[1, j] - 1) * dEx + RA[1, j] * RB[0, j] * HPhi[0, i, j, k] + RB[1, j] * HPhi[1, i, j, k])
HPhi[1, i, j, k] = RE[1, j] * HPhi[1, i, j, k] - RF[1, j] * (RA[0, j] * dEx + RB[0, j] * HPhi[0, i, j, k])
HPhi[0, i, j, k] = RE[0, j] * HPhi[0, i, j, k] - RF[0, j] * dEx

118
gprMax/pml_call_updates.py 普通文件
查看文件

@@ -0,0 +1,118 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
from .pml_1order_update import *
from .pml_2order_update import *
def update_pml_electric(G):
"""This functions updates electric field components with the PML correction."""
for pml in G.pmls:
if pml.direction == 'xminus':
if len(pml.CFS) == 1:
update_pml_1order_ey_xminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ey, G.Hz, pml.EPhiyxz, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dx)
update_pml_1order_ez_xminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ez, G.Hy, pml.EPhizxy, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dx)
elif len(pml.CFS) == 2:
update_pml_2order_ey_xminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ey, G.Hz, pml.EPhiyxz, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dx)
update_pml_2order_ez_xminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ez, G.Hy, pml.EPhizxy, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dx)
elif pml.direction == 'xplus':
if len(pml.CFS) == 1:
update_pml_1order_ey_xplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ey, G.Hz, pml.EPhiyxz, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dx)
update_pml_1order_ez_xplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ez, G.Hy, pml.EPhizxy, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dx)
elif len(pml.CFS) == 2:
update_pml_2order_ey_xplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ey, G.Hz, pml.EPhiyxz, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dx)
update_pml_2order_ez_xplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ez, G.Hy, pml.EPhizxy, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dx)
elif pml.direction == 'yminus':
if len(pml.CFS) == 1:
update_pml_1order_ex_yminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ex, G.Hz, pml.EPhixyz, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dy)
update_pml_1order_ez_yminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ez, G.Hx, pml.EPhizyx, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dy)
elif len(pml.CFS) == 2:
update_pml_2order_ex_yminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ex, G.Hz, pml.EPhixyz, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dy)
update_pml_2order_ez_yminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ez, G.Hx, pml.EPhizyx, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dy)
elif pml.direction == 'yplus':
if len(pml.CFS) == 1:
update_pml_1order_ex_yplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ex, G.Hz, pml.EPhixyz, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dy)
update_pml_1order_ez_yplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ez, G.Hx, pml.EPhizyx, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dy)
elif len(pml.CFS) == 2:
update_pml_2order_ex_yplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ex, G.Hz, pml.EPhixyz, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dy)
update_pml_2order_ez_yplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ez, G.Hx, pml.EPhizyx, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dy)
elif pml.direction == 'zminus':
if len(pml.CFS) == 1:
update_pml_1order_ex_zminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ex, G.Hy, pml.EPhixzy, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dz)
update_pml_1order_ey_zminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ey, G.Hx, pml.EPhiyzx, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dz)
elif len(pml.CFS) == 2:
update_pml_2order_ex_zminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ex, G.Hy, pml.EPhixzy, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dz)
update_pml_2order_ey_zminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ey, G.Hx, pml.EPhiyzx, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dz)
elif pml.direction == 'zplus':
if len(pml.CFS) == 1:
update_pml_1order_ex_zplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ex, G.Hy, pml.EPhixzy, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dz)
update_pml_1order_ey_zplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ey, G.Hx, pml.EPhiyzx, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dz)
elif len(pml.CFS) == 2:
update_pml_2order_ex_zplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ex, G.Hy, pml.EPhixzy, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dz)
update_pml_2order_ey_zplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsE, G.ID, G.Ey, G.Hx, pml.EPhiyzx, pml.ERA, pml.ERB, pml.ERE, pml.ERF, G.dz)
def update_pml_magnetic(G):
"""This functions updates magnetic field components with the PML correction."""
for pml in G.pmls:
if pml.direction == 'xminus':
if len(pml.CFS) == 1:
update_pml_1order_hy_xminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hy, G.Ez, pml.HPhiyxz, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dx)
update_pml_1order_hz_xminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hz, G.Ey, pml.HPhizxy, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dx)
elif len(pml.CFS) == 2:
update_pml_2order_hy_xminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hy, G.Ez, pml.HPhiyxz, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dx)
update_pml_2order_hz_xminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hz, G.Ey, pml.HPhizxy, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dx)
elif pml.direction == 'xplus':
if len(pml.CFS) == 1:
update_pml_1order_hy_xplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hy, G.Ez, pml.HPhiyxz, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dx)
update_pml_1order_hz_xplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hz, G.Ey, pml.HPhizxy, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dx)
elif len(pml.CFS) == 2:
update_pml_2order_hy_xplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hy, G.Ez, pml.HPhiyxz, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dx)
update_pml_2order_hz_xplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hz, G.Ey, pml.HPhizxy, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dx)
elif pml.direction == 'yminus':
if len(pml.CFS) == 1:
update_pml_1order_hx_yminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hx, G.Ez, pml.HPhixyz, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dy)
update_pml_1order_hz_yminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hz, G.Ex, pml.HPhizyx, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dy)
elif len(pml.CFS) == 2:
update_pml_2order_hx_yminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hx, G.Ez, pml.HPhixyz, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dy)
update_pml_2order_hz_yminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hz, G.Ex, pml.HPhizyx, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dy)
elif pml.direction == 'yplus':
if len(pml.CFS) == 1:
update_pml_1order_hx_yplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hx, G.Ez, pml.HPhixyz, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dy)
update_pml_1order_hz_yplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hz, G.Ex, pml.HPhizyx, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dy)
elif len(pml.CFS) == 2:
update_pml_2order_hx_yplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hx, G.Ez, pml.HPhixyz, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dy)
update_pml_2order_hz_yplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hz, G.Ex, pml.HPhizyx, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dy)
elif pml.direction == 'zminus':
if len(pml.CFS) == 1:
update_pml_1order_hx_zminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hx, G.Ey, pml.HPhixzy, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dz)
update_pml_1order_hy_zminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hy, G.Ex, pml.HPhiyzx, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dz)
elif len(pml.CFS) == 2:
update_pml_2order_hx_zminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hx, G.Ey, pml.HPhixzy, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dz)
update_pml_2order_hy_zminus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hy, G.Ex, pml.HPhiyzx, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dz)
elif pml.direction == 'zplus':
if len(pml.CFS) == 1:
update_pml_1order_hx_zplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hx, G.Ey, pml.HPhixzy, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dz)
update_pml_1order_hy_zplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hy, G.Ex, pml.HPhiyzx, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dz)
elif len(pml.CFS) == 2:
update_pml_2order_hx_zplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hx, G.Ey, pml.HPhixzy, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dz)
update_pml_2order_hy_zplus(pml.xs, pml.xf, pml.ys, pml.yf, pml.zs, pml.zf, G.nthreads, G.updatecoeffsH, G.ID, G.Hy, G.Ex, pml.HPhiyzx, pml.HRA, pml.HRB, pml.HRE, pml.HRF, G.dz)

31
gprMax/receivers.py 普通文件
查看文件

@@ -0,0 +1,31 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
class Rx:
"""Receiever output points."""
def __init__(self, positionx=None, positiony=None, positionz=None):
"""
Args:
positionx (float): x-coordinate of location in model.
positiony (float): y-coordinate of location in model.
positionz (float): z-coordinate of location in model.
"""
self.positionx = positionx
self.positiony = positiony
self.positionz = positionz

144
gprMax/snapshots.py 普通文件
查看文件

@@ -0,0 +1,144 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import sys
import numpy as np
from struct import pack
from .constants import floattype
from .utilities import rvalue
class Snapshot:
"""Snapshots of the electric and magnetic field values."""
# Set string for byte order
if sys.byteorder == 'little':
byteorder = 'LittleEndian'
else:
byteorder = 'BigEndian'
# Set format text and string depending on float type
if np.dtype(floattype).name == 'float32':
floatname = 'Float32'
floatstring = 'f'
elif np.dtype(floattype).name == 'float64':
floatname = 'Float64'
floatstring = 'd'
def __init__(self, xs=None, ys=None, zs=None, xf=None, yf=None, zf=None, dx=None, dy=None, dz=None, time=None, filename=None):
"""
Args:
xs, xf, ys, yf, zs, zf (float): Extent of the volume.
dx, dy, dz (float): Spatial discretisation.
time (int): Iteration number to take the snapshot on.
filename (str): Filename to save to.
"""
self.xs = xs
self.ys = ys
self.zs = zs
self.xf = xf
self.yf = yf
self.zf = zf
self.dx = dx
self.dy = dy
self.dz = dz
self.time = time
self.filename = filename
def prepare_file(self, modelrun, numbermodelruns, G):
"""Prepares a VTK ImageData (.vti) file for a snapshot.
Args:
modelrun (int): Current model run number.
numbermodelruns (int): Total number of model runs.
G (class): Grid class instance - holds essential parameters describing the model.
"""
# No Python 3 support for VTK at time of writing (03/2015)
self.vtk_nx = self.xf - self.xs
self.vtk_ny = self.yf - self.ys
self.vtk_nz = self.zf - self.zs
# Construct filename from user-supplied name and model run number
if numbermodelruns == 1:
self.filename = G.inputdirectory + self.filename + '.vti'
else:
self.filename = G.inputdirectory + self.filename + '_' + str(modelrun) + '.vti'
# Calculate number of cells according to requested sampling
self.vtk_xscells = rvalue(self.xs / self.dx)
self.vtk_xfcells = rvalue(self.xf / self.dx)
self.vtk_yscells = rvalue(self.ys / self.dy)
self.vtk_yfcells = rvalue(self.yf / self.dz)
self.vtk_zscells = rvalue(self.zs / self.dz)
self.vtk_zfcells = rvalue(self.zf / self.dz)
vtk_hfield_offset = 3 * np.dtype(floattype).itemsize * (self.vtk_xfcells - self.vtk_xscells) * (self.vtk_yfcells - self.vtk_yscells) * (self.vtk_zfcells - self.vtk_zscells) + np.dtype(np.uint32).itemsize
# vtk_current_offset = 2 * vtk_hfield_offset
self.filehandle = open(self.filename, 'wb')
self.filehandle.write('<?xml version="1.0"?>\n'.encode('utf-8'))
self.filehandle.write('<VTKFile type="ImageData" version="1.0" byte_order="{}">\n'.format(Snapshot.byteorder).encode('utf-8'))
self.filehandle.write('<ImageData WholeExtent="{} {} {} {} {} {}" Origin="0 0 0" Spacing="{:.3} {:.3} {:.3}">\n'.format(self.vtk_xscells, self.vtk_xfcells, self.vtk_yscells, self.vtk_yfcells, self.vtk_zscells, self.vtk_zfcells, self.dx * G.dx, self.dy * G.dy, self.dz * G.dz).encode('utf-8'))
self.filehandle.write('<Piece Extent="{} {} {} {} {} {}">\n'.format(self.vtk_xscells, self.vtk_xfcells, self.vtk_yscells, self.vtk_yfcells, self.vtk_zscells, self.vtk_zfcells).encode('utf-8'))
self.filehandle.write('<CellData Vectors="E-field H-field">\n'.encode('utf-8'))
# self.filehandle.write('<CellData Vectors="E-field H-field Current">\n'.encode('utf-8'))
self.filehandle.write('<DataArray type="{}" Name="E-field" NumberOfComponents="3" format="appended" offset="0" />\n'.format(Snapshot.floatname).encode('utf-8'))
self.filehandle.write('<DataArray type="{}" Name="H-field" NumberOfComponents="3" format="appended" offset="{}" />\n'.format(Snapshot.floatname, vtk_hfield_offset).encode('utf-8'))
# self.filehandle.write('<DataArray type="{}" Name="Current" NumberOfComponents="3" format="appended" offset="{}" />\n'.format(Snapshot.floatname, vtk_current_offset).encode('utf-8'))
self.filehandle.write('</CellData>\n</Piece>\n</ImageData>\n<AppendedData encoding="raw">\n_'.encode('utf-8'))
def write_snapshot(self, Ex, Ey, Ez, Hx, Hy, Hz, G):
"""Writes electric and magnetic field values to VTK ImageData (.vti) file.
Args:
Ex, Ey, Ez, Hx, Hy, Hz (memory view): Electric and magnetic field values.
G (class): Grid class instance - holds essential parameters describing the model.
"""
datasize = 3 * np.dtype(floattype).itemsize * (self.vtk_xfcells - self.vtk_xscells) * (self.vtk_yfcells - self.vtk_yscells) * (self.vtk_zfcells - self.vtk_zscells)
# Write number of bytes of appended data as UInt32
self.filehandle.write(pack('I', datasize))
for k in range(self.zs, self.zf, self.dz):
for j in range(self.ys, self.yf, self.dy):
for i in range(self.xs, self.xf, self.dx):
# The electric field component value at a point comes from average of the 4 electric field component values in that cell
self.filehandle.write(pack(Snapshot.floatstring, (Ex[i, j, k] + Ex[i, j + 1, k] + Ex[i, j, k + 1] + Ex[i, j + 1, k + 1]) / 4))
self.filehandle.write(pack(Snapshot.floatstring, (Ey[i, j, k] + Ey[i + 1, j, k] + Ey[i, j, k + 1] + Ey[i + 1, j, k + 1]) / 4))
self.filehandle.write(pack(Snapshot.floatstring, (Ez[i, j, k] + Ez[i + 1, j, k] + Ez[i, j + 1, k] + Ez[i + 1, j + 1, k]) / 4))
self.filehandle.write(pack('I', datasize))
for k in range(self.zs, self.zf, self.dz):
for j in range(self.ys, self.yf, self.dy):
for i in range(self.xs, self.xf, self.dx):
# The magnetic field component value at a point comes from average of 2 magnetic field component values in that cell and the following cell
self.filehandle.write(pack(Snapshot.floatstring, (Hx[i, j, k] + Hx[i + 1, j, k]) / 2))
self.filehandle.write(pack(Snapshot.floatstring, (Hy[i, j, k] + Hy[i, j + 1, k]) / 2))
self.filehandle.write(pack(Snapshot.floatstring, (Hz[i, j, k] + Hz[i, j, k + 1]) / 2))
# self.filehandle.write(pack('I', datasize))
# for k in range(self.zs, self.zf, self.dz):
# for j in range(self.ys, self.yf, self.dy):
# for i in range(self.xs, self.xf, self.dx):
# self.filehandle.write(pack(Snapshot.floatstring, Ix[i, j, k]))
# self.filehandle.write(pack(Snapshot.floatstring, Iy[i, j, k]))
# self.filehandle.write(pack(Snapshot.floatstring, Iz[i, j, k]))
self.filehandle.write('\n</AppendedData>\n</VTKFile>'.encode('utf-8'))
self.filehandle.close()

158
gprMax/sources.py 普通文件
查看文件

@@ -0,0 +1,158 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import numpy as np
from .utilities import rvalue
class VoltageSource:
"""Voltage sources."""
def __init__(self):
self.polarisation = None
self.positionx = None
self.positiony = None
self.positionz = None
self.start = None
self.stop = None
self.resistance = None
self.waveformID = None
def update_fields(self, abstime, timestep, updatecoeffsE, ID, Ex, Ey, Ez, G):
"""Updates electric field values for a voltage source.
Args:
abstime (float): Absolute time.
timestep (int): Iteration number.
updatecoeffsE (memory view): numpy array of electric field update coefficients.
ID (memory view): numpy array of numeric IDs corresponding to materials in the model.
Ex, Ey, Ez (memory view): numpy array of electric field values.
G (class): Grid class instance - holds essential parameters describing the model.
"""
if abstime >= self.start and abstime <= self.stop:
# Set the time of the waveform evaluation to account for any delay in the start
time = abstime - self.start
i = self.positionx
j = self.positiony
k = self.positionz
waveform = next(x for x in G.waveforms if x.ID == self.waveformID)
if self.polarisation is 'x':
if self.resistance != 0:
Ex[i, j, k] -= updatecoeffsE[ID[0, i, j, k], 4] * waveform.amp * waveform.calculate_value(time, G.dt) * (1 / (self.resistance * G.dy * G.dz))
else:
Ex[i, j, k] = -1 * waveform.amp * waveform.calculate_value(time, G.dt) / G.dx
elif self.polarisation is 'y':
if self.resistance != 0:
Ey[i, j, k] -= updatecoeffsE[ID[1, i, j, k], 4] * waveform.amp * waveform.calculate_value(time, G.dt) * (1 / (self.resistance * G.dx * G.dz))
else:
Ey[i, j, k] = -1 * waveform.amp * waveform.calculate_value(time, G.dt) / G.dy
elif self.polarisation is 'z':
if self.resistance != 0:
Ez[i, j, k] -= updatecoeffsE[ID[2, i, j, k], 4] * waveform.amp * waveform.calculate_value(time, G.dt) * (1 / (self.resistance * G.dx * G.dy))
else:
Ez[i, j, k] = -1 * waveform.amp * waveform.calculate_value(time, G.dt) / G.dz
class HertzianDipole:
"""Hertzian dipoles, i.e. normal additive source (current density)."""
def __init__(self):
self.polarisation = None
self.positionx = None
self.positiony = None
self.positionz = None
self.start = None
self.stop = None
self.waveformID = None
def update_fields(self, abstime, timestep, updatecoeffsE, ID, Ex, Ey, Ez, G):
"""Updates electric field values for a Hertzian dipole.
Args:
abstime (float): Absolute time.
timestep (int): Iteration number.
updatecoeffsE (memory view): numpy array of electric field update coefficients.
ID (memory view): numpy array of numeric IDs corresponding to materials in the model.
Ex, Ey, Ez (memory view): numpy array of electric field values.
G (class): Grid class instance - holds essential parameters describing the model.
"""
if abstime >= self.start and abstime <= self.stop:
# Set the time of the waveform evaluation to account for any delay in the start
time = abstime - self.start
i = self.positionx
j = self.positiony
k = self.positionz
waveform = next(x for x in G.waveforms if x.ID == self.waveformID)
if self.polarisation is 'x':
Ex[i, j, k] -= updatecoeffsE[ID[0, i, j, k], 4] * waveform.amp * waveform.calculate_value(time, G.dt) * (1 / (G.dy * G.dz))
elif self.polarisation is 'y':
Ey[i, j, k] -= updatecoeffsE[ID[1, i, j, k], 4] * waveform.amp * waveform.calculate_value(time, G.dt) * (1 / (G.dx * G.dz))
elif self.polarisation is 'z':
Ez[i, j, k] -= updatecoeffsE[ID[2, i, j, k], 4] * waveform.amp * waveform.calculate_value(time, G.dt) * (1 / (G.dx * G.dy))
class MagneticDipole:
"""Magnetic dipoles, i.e. current on a small loop."""
def __init__(self):
self.polarisation = None
self.positionx = None
self.positiony = None
self.positionz = None
self.start = None
self.stop = None
self.waveformID = None
def update_fields(self, abstime, timestep, updatecoeffsH, ID, Hx, Hy, Hz, G):
"""Updates electric field values for a magnetic dipole.
Args:
abstime (float): Absolute time.
timestep (int): Iteration number.
updatecoeffsH (memory view): numpy array of magnetic field update coefficients.
ID (memory view): numpy array of numeric IDs corresponding to materials in the model.
Hx, Hy, Hz (memory view): numpy array of magnetic field values.
G (class): Grid class instance - holds essential parameters describing the model.
"""
if abstime >= self.start and abstime <= self.stop:
# Set the time of the waveform evaluation to account for any delay in the start
time = abstime - self.start
i = self.positionx
j = self.positiony
k = self.positionz
waveform = next(x for x in G.waveforms if x.ID == self.waveformID)
if self.polarisation is 'x':
Hx[i, j, k] -= waveform.amp * waveform.calculate_value(time, G.dt) * (G.dt / (G.dx * G.dy * G.dz))
elif self.polarisation is 'y':
Hy[i, j, k] -= waveform.amp * waveform.calculate_value(time, G.dt) * (G.dt / (G.dx * G.dy * G.dz))
elif self.polarisation is 'z':
Hz[i, j, k] -= waveform.amp * waveform.calculate_value(time, G.dt) * (G.dt / (G.dx * G.dy * G.dz))

119
gprMax/utilities.py 普通文件
查看文件

@@ -0,0 +1,119 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import sys
import decimal as d
from pyfiglet import Figlet
class ListStream:
"""A list can be streamed into. Required when temporarily redirecting stdio to capture output from users Python code blocks."""
def __init__(self):
self.data = []
def write(self, s):
self.data.append(s)
def logo(version):
"""Print gprMax logo, version, and licencing/copyright information.
Args:
version (str): Version number.
"""
licenseinfo = """
Copyright (C) 2015: The University of Edinburgh
Authors: Craig Warren and Antonis Giannopoulos
gprMax is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
gprMax is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with gprMax. If not, see <http://www.gnu.org/licenses/>."""
width = 65
url = 'www.gprmax.com'
print('\n{} {} {}'.format('*'*round((width - len(url))/2), url, '*'*round((width - len(url))/2)))
gprMaxlogo = Figlet(font='standard', width=width, justify='center')
print('{}'.format(gprMaxlogo.renderText('gprMax')))
print('{} v{} {}'.format('*'*round((width - len(version))/2), (version), '*'*round((width - len(version))/2)))
print(licenseinfo)
print('\n{}\n'.format('*'*(width+3)))
def update_progress(progress):
"""Displays or updates a console progress bar.
Args:
progress (float): Number between zero and one to signify progress.
"""
# Modify this to change the length of the progress bar
barLength = 50
block = rvalue(barLength * progress)
text = '\r|{}| {:2.1f}%'.format( '#' * block + '-' * (barLength - block), progress * 100)
sys.stdout.write(text)
sys.stdout.flush()
def rvalue(value):
"""Rounds half values downward.
Args:
value (float): Number to round.
Returns:
Rounded value (float).
"""
return int(d.Decimal(value).quantize(d.Decimal('1'),rounding=d.ROUND_HALF_DOWN))
def human_size(size, a_kilobyte_is_1024_bytes=True):
"""Convert a file size to human-readable form.
Args:
size (int): file size in bytes
a_kilobyte_is_1024_bytes (boolean) - true for multiples of 1024, false for multiples of 1000
Returns:
Human-readable (string).
"""
suffixes = {1000: ['KB', 'MB', 'GB', 'TB', 'PB', 'EB', 'ZB', 'YB'], 1024: ['KiB', 'MiB', 'GiB', 'TiB', 'PiB', 'EiB', 'ZiB', 'YiB']}
if size < 0:
raise ValueError('Number must be non-negative.')
multiple = 1024 if a_kilobyte_is_1024_bytes else 1000
for suffix in suffixes[multiple]:
size /= multiple
if size < multiple:
return '{0:.1f} {1}'.format(size, suffix)
raise ValueError('Number is too large.')

102
gprMax/waveforms.py 普通文件
查看文件

@@ -0,0 +1,102 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import numpy as np
from .utilities import rvalue
class Waveform:
"""Definitions of waveform shapes that can be used with sources."""
waveformtypes = ['gaussian', 'gaussiandot', 'gaussiandotdot', 'ricker', 'sine', 'contsine', 'impulse', 'user']
def __init__(self):
self.ID = None
self.type = None
self.amp = 1
self.freq = 0
self.uservalues = None
def calculate_value(self, time, dt):
"""Calculates value of the waveform at a specific time.
Args:
time (float): Absolute time.
dt (float): Absolute time discretisation.
Returns:
waveform (float): Calculated value for waveform.
"""
chi = 1 / self.freq
zeta = 2 * np.pi * np.pi * self.freq * self.freq
delay = time - chi
if self.type == 'gaussian':
waveform = np.exp(-zeta * delay * delay)
elif self.type == 'gaussiandot':
waveform = -2 * zeta * delay * np.exp(-zeta * delay * delay)
elif self.type == 'gaussiandotnorm':
normalise = np.sqrt(np.exp(1) / (2 * zeta))
waveform = -2 * zeta * delay * np.exp(-zeta * delay * delay) * normalise
elif self.type == 'gaussiandotdot':
waveform = 2 * zeta * (2 * zeta * delay * delay - 1) * np.exp(-zeta * delay * delay)
elif self.type == 'gaussiandotdotnorm':
normalise = 1 / (2 * zeta)
waveform = 2 * zeta * (2 * zeta * delay * delay - 1) * np.exp(-zeta * delay * delay) * normalise
elif self.type == 'gaussiandotdotdot':
waveform = zeta * zeta * (3 * delay - 2 * zeta * delay * delay * delay) * np.exp(-zeta * delay * delay)
elif self.type == 'ricker':
normalise = 1 / (2 * zeta)
waveform = - (2 * zeta * (2 * zeta * delay * delay - 1) * np.exp(-zeta * delay * delay)) * normalise
elif self.type == 'sine':
waveform = np.sin(2 * np.pi * self.freq * time)
if time * self.freq > 1:
waveform = 0
elif self.type == 'contsine':
rampamp = 0.25
ramp = rampamp * time * self.freq
if ramp > 1:
ramp = 1
waveform = ramp * np.sin(2 * np.pi * self.freq * time)
elif self.type == 'impulse':
# time < G.dt condition required to do impulsive magnetic dipole
if time == 0 or time < dt:
waveform = 1
elif time >= dt:
waveform = 0
elif self.type == 'user':
index = rvalue(time / dt)
# Check to see if there are still user specified values and if not use zero
if index > len(self.uservalues) - 1:
waveform = 0
else:
waveform = self.uservalues[index]
return waveform

332
gprMax/yee_cell_build.pyx 普通文件
查看文件

@@ -0,0 +1,332 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import numpy as np
cimport numpy as np
from .materials import Material
from .yee_cell_setget_rigid cimport get_rigid_Ex, get_rigid_Ey, get_rigid_Ez, get_rigid_Hx, get_rigid_Hy, get_rigid_Hz
cpdef build_ex_component(np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidE, np.uint32_t[:, :, :, :] ID, G):
"""This function builds the Ex components in the ID array.
Args:
solid, rigid, ID (memoryviews): Access to solid, rigid and ID arrays
"""
cdef int i, j, k, numID1, numID2, numID3, numID4
for i in range(0, G.nx):
for j in range(1, G.ny):
for k in range(1, G.nz):
# If rigid is True do not average
if get_rigid_Ex(i, j, k, rigidE):
pass
else:
numID1 = solid[i, j, k]
numID2 = solid[i, j - 1, k]
numID3 = solid[i, j - 1, k - 1]
numID4 = solid[i, j, k - 1]
# If all values are the same no need to average
if numID1 == numID2 and numID1 == numID3 and numID1 == numID4:
ID[0, i, j, k] = numID1
else:
# Averaging is required
# Make an ID composed of the names of the four materials that will be averaged
requiredID = G.materials[numID1].ID + '|' + G.materials[numID2].ID + '|' + G.materials[numID3].ID + '|' + G.materials[numID4].ID
# Check if this material already exists
tmp = requiredID.split('|')
material = [x for x in G.materials if
x.ID.count(tmp[0]) == requiredID.count(tmp[0]) and
x.ID.count(tmp[1]) == requiredID.count(tmp[1]) and
x.ID.count(tmp[2]) == requiredID.count(tmp[2]) and
x.ID.count(tmp[3]) == requiredID.count(tmp[3])]
if material:
ID[0, i, j, k] = material[0].numID
else:
# Create new material
newNumID = len(G.materials)
m = Material(newNumID, requiredID, G)
# Create averaged constituents for material
m.er = np.mean((G.materials[numID1].er, G.materials[numID2].er, G.materials[numID3].er, G.materials[numID4].er), axis=0)
m.se = np.mean((G.materials[numID1].se, G.materials[numID2].se, G.materials[numID3].se, G.materials[numID4].se), axis=0)
m.mr = np.mean((G.materials[numID1].mr, G.materials[numID2].mr, G.materials[numID3].mr, G.materials[numID4].mr), axis=0)
m.sm = np.mean((G.materials[numID1].sm, G.materials[numID2].sm, G.materials[numID3].sm, G.materials[numID4].sm), axis=0)
# Append the new material object to the materials list
G.materials.append(m)
ID[0, i, j, k] = newNumID
cpdef build_ey_component(np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidE, np.uint32_t[:, :, :, :] ID, G):
"""This function builds the Ey components in the ID array.
Args:
solid, rigid, ID (memoryviews): Access to solid, rigid and ID arrays
"""
cdef int i, j, k, numID1, numID2, numID3, numID4
for i in range(1, G.nx):
for j in range(0, G.ny):
for k in range(1, G.nz):
# If rigid is True do not average
if get_rigid_Ey(i, j, k, rigidE):
pass
else:
numID1 = solid[i, j, k]
numID2 = solid[i - 1, j, k]
numID3 = solid[i - 1, j, k - 1]
numID4 = solid[i, j, k - 1]
# If all values are the same no need to average
if numID1 == numID2 and numID1 == numID3 and numID1 == numID4:
ID[1, i, j, k] = numID1
else:
# Averaging is required
# Make an ID composed of the names of the four materials that will be averaged
requiredID = G.materials[numID1].ID + '|' + G.materials[numID2].ID + '|' + G.materials[numID3].ID + '|' + G.materials[numID4].ID
# Check if this material already exists
tmp = requiredID.split('|')
material = [x for x in G.materials if
x.ID.count(tmp[0]) == requiredID.count(tmp[0]) and
x.ID.count(tmp[1]) == requiredID.count(tmp[1]) and
x.ID.count(tmp[2]) == requiredID.count(tmp[2]) and
x.ID.count(tmp[3]) == requiredID.count(tmp[3])]
if material:
ID[1, i, j, k] = material[0].numID
else:
# Create new material
newNumID = len(G.materials)
m = Material(newNumID, requiredID, G)
# Create averaged constituents for material
m.er = np.mean((G.materials[numID1].er, G.materials[numID2].er, G.materials[numID3].er, G.materials[numID4].er), axis=0)
m.se = np.mean((G.materials[numID1].se, G.materials[numID2].se, G.materials[numID3].se, G.materials[numID4].se), axis=0)
m.mr = np.mean((G.materials[numID1].mr, G.materials[numID2].mr, G.materials[numID3].mr, G.materials[numID4].mr), axis=0)
m.sm = np.mean((G.materials[numID1].sm, G.materials[numID2].sm, G.materials[numID3].sm, G.materials[numID4].sm), axis=0)
# Append the new material object to the materials list
G.materials.append(m)
ID[1, i, j, k] = newNumID
cpdef build_ez_component(np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidE, np.uint32_t[:, :, :, :] ID, G):
"""This function builds the Ez components in the ID array.
Args:
solid, rigid, ID (memoryviews): Access to solid, rigid and ID arrays
"""
cdef int i, j, k, numID1, numID2, numID3, numID4
for i in range(1, G.nx):
for j in range(1, G.ny):
for k in range(0, G.nz):
# If rigid is True do not average
if get_rigid_Ez(i, j, k, rigidE):
pass
else:
numID1 = solid[i, j, k]
numID2 = solid[i - 1, j, k]
numID3 = solid[i - 1, j - 1, k]
numID4 = solid[i, j - 1, k]
# If all values are the same no need to average
if numID1 == numID2 and numID1 == numID3 and numID1 == numID4:
ID[2, i, j, k] = numID1
else:
# Averaging is required
# Make an ID composed of the names of the four materials that will be averaged
requiredID = G.materials[numID1].ID + '|' + G.materials[numID2].ID + '|' + G.materials[numID3].ID + '|' + G.materials[numID4].ID
# Check if this material already exists
tmp = requiredID.split('|')
material = [x for x in G.materials if
x.ID.count(tmp[0]) == requiredID.count(tmp[0]) and
x.ID.count(tmp[1]) == requiredID.count(tmp[1]) and
x.ID.count(tmp[2]) == requiredID.count(tmp[2]) and
x.ID.count(tmp[3]) == requiredID.count(tmp[3])]
if material:
ID[2, i, j, k] = material[0].numID
else:
# Create new material
newNumID = len(G.materials)
m = Material(newNumID, requiredID, G)
# Create averaged constituents for material
m.er = np.mean((G.materials[numID1].er, G.materials[numID2].er, G.materials[numID3].er, G.materials[numID4].er), axis=0)
m.se = np.mean((G.materials[numID1].se, G.materials[numID2].se, G.materials[numID3].se, G.materials[numID4].se), axis=0)
m.mr = np.mean((G.materials[numID1].mr, G.materials[numID2].mr, G.materials[numID3].mr, G.materials[numID4].mr), axis=0)
m.sm = np.mean((G.materials[numID1].sm, G.materials[numID2].sm, G.materials[numID3].sm, G.materials[numID4].sm), axis=0)
# Append the new material object to the materials list
G.materials.append(m)
ID[2, i, j, k] = newNumID
cpdef build_hx_component(np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID, G):
"""This function builds the Hx components in the ID array.
Args:
solid, rigid, ID (memoryviews): Access to solid, rigid and ID arrays
"""
cdef int i, j, k, numID1, numID2
for i in range(1, G.nx):
for j in range(0, G.ny):
for k in range(0, G.nz):
# If rigid is True do not average
if get_rigid_Hx(i, j, k, rigidH):
pass
else:
numID1 = solid[i, j, k]
numID2 = solid[i - 1, j, k]
# If all values are the same no need to average
if numID1 == numID2:
ID[3, i, j, k] = numID1
else:
# Averaging is required
# Make an ID composed of the names of the four materials that will be averaged
requiredID = G.materials[numID1].ID + '|' + G.materials[numID2].ID
# Check if this material already exists
tmp = requiredID.split('|')
material = [x for x in G.materials if
(x.ID.count(tmp[0]) == requiredID.count(tmp[0]) and
x.ID.count(tmp[1]) == requiredID.count(tmp[1])) or
(x.ID.count(tmp[0]) % 2 == 0 and x.ID.count(tmp[1]) % 2 == 0)]
if material:
ID[3, i, j, k] = material[0].numID
else:
# Create new material
newNumID = len(G.materials)
m = Material(newNumID, requiredID, G)
# Create averaged constituents for material
m.er = np.mean((G.materials[numID1].er, G.materials[numID2].er), axis=0)
m.se = np.mean((G.materials[numID1].se, G.materials[numID2].se), axis=0)
m.mr = np.mean((G.materials[numID1].mr, G.materials[numID2].mr), axis=0)
m.sm = np.mean((G.materials[numID1].sm, G.materials[numID2].sm), axis=0)
# Append the new material object to the materials list
G.materials.append(m)
ID[3, i, j, k] = newNumID
cpdef build_hy_component(np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID, G):
"""This function builds the Hy components in the ID array.
Args:
solid, rigid, ID (memoryviews): Access to solid, rigid and ID arrays
"""
cdef int i, j, k, numID1, numID2
for i in range(0, G.nx):
for j in range(1, G.ny):
for k in range(0, G.nz):
# If rigid is True do not average
if get_rigid_Hy(i, j, k, rigidH):
pass
else:
numID1 = solid[i, j, k]
numID2 = solid[i, j - 1, k]
# If all values are the same no need to average
if numID1 == numID2:
ID[4, i, j, k] = numID1
else:
# Averaging is required
# Make an ID composed of the names of the four materials that will be averaged
requiredID = G.materials[numID1].ID + '|' + G.materials[numID2].ID
# Check if this material already exists
tmp = requiredID.split('|')
material = [x for x in G.materials if
(x.ID.count(tmp[0]) == requiredID.count(tmp[0]) and
x.ID.count(tmp[1]) == requiredID.count(tmp[1])) or
(x.ID.count(tmp[0]) % 2 == 0 and x.ID.count(tmp[1]) % 2 == 0)]
if material:
ID[4, i, j, k] = material[0].numID
else:
# Create new material
newNumID = len(G.materials)
m = Material(newNumID, requiredID, G)
# Create averaged constituents for material
m.er = np.mean((G.materials[numID1].er, G.materials[numID2].er), axis=0)
m.se = np.mean((G.materials[numID1].se, G.materials[numID2].se), axis=0)
m.mr = np.mean((G.materials[numID1].mr, G.materials[numID2].mr), axis=0)
m.sm = np.mean((G.materials[numID1].sm, G.materials[numID2].sm), axis=0)
# Append the new material object to the materials list
G.materials.append(m)
ID[4, i, j, k] = newNumID
cpdef build_hz_component(np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID, G):
"""This function builds the Hz components in the ID array.
Args:
solid, rigid, ID (memoryviews): Access to solid, rigid and ID arrays
"""
cdef int i, j, k, numID1, numID2
for i in range(0, G.nx):
for j in range(0, G.ny):
for k in range(1, G.nz):
# If rigid is True do not average
if get_rigid_Hz(i, j, k, rigidH):
pass
else:
numID1 = solid[i, j, k]
numID2 = solid[i, j, k - 1]
# If all values are the same no need to average
if numID1 == numID2:
ID[5, i, j, k] = numID1
else:
# Averaging is required
# Make an ID composed of the names of the four materials that will be averaged
requiredID = G.materials[numID1].ID + '|' + G.materials[numID2].ID
# Check if this material already exists
tmp = requiredID.split('|')
material = [x for x in G.materials if
(x.ID.count(tmp[0]) == requiredID.count(tmp[0]) and
x.ID.count(tmp[1]) == requiredID.count(tmp[1])) or
(x.ID.count(tmp[0]) % 2 == 0 and x.ID.count(tmp[1]) % 2 == 0)]
if material:
ID[5, i, j, k] = material[0].numID
else:
# Create new material
newNumID = len(G.materials)
m = Material(newNumID, requiredID, G)
# Create averaged constituents for material
m.er = np.mean((G.materials[numID1].er, G.materials[numID2].er), axis=0)
m.se = np.mean((G.materials[numID1].se, G.materials[numID2].se), axis=0)
m.mr = np.mean((G.materials[numID1].mr, G.materials[numID2].mr), axis=0)
m.sm = np.mean((G.materials[numID1].sm, G.materials[numID2].sm), axis=0)
# Append the new material object to the materials list
G.materials.append(m)
ID[5, i, j, k] = newNumID

44
gprMax/yee_cell_setget_rigid.pxd 普通文件
查看文件

@@ -0,0 +1,44 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import numpy as np
cimport numpy as np
# Get and set functions for the rigid electric component array. The rigid array is 4D with the 1st dimension holding
# the 12 electric edge components of a cell - Ex1, Ex2, Ex3, Ex4, Ey1, Ey2, Ey3, Ey4, Ez1, Ez2, Ez3, Ez4
cdef bint get_rigid_Ex(int i, int j, int k, np.int8_t[:, :, :, :] rigidE)
cdef bint get_rigid_Ey(int i, int j, int k, np.int8_t[:, :, :, :] rigidE)
cdef bint get_rigid_Ez(int i, int j, int k, np.int8_t[:, :, :, :] rigidE)
cdef void set_rigid_Ex(int i, int j, int k, np.int8_t[:, :, :, :] rigidE)
cdef void set_rigid_Ey(int i, int j, int k, np.int8_t[:, :, :, :] rigidE)
cdef void set_rigid_Ez(int i, int j, int k, np.int8_t[:, :, :, :] rigidE)
cdef void set_rigid_E(int i, int j, int k, np.int8_t[:, :, :, :] rigidE)
cdef void unset_rigid_E(int i, int j, int k, np.int8_t[:, :, :, :] rigidE)
# Get and set functions for the rigid magnetic component array. The rigid array is 4D with the 1st dimension holding
# the 6 magnetic edge components - Hx1, Hx2, Hy1, Hy2, Hz1, Hz2
cdef bint get_rigid_Hx(int i, int j, int k, np.int8_t[:, :, :, :] rigidH)
cdef bint get_rigid_Hy(int i, int j, int k, np.int8_t[:, :, :, :] rigidH)
cdef bint get_rigid_Hz(int i, int j, int k, np.int8_t[:, :, :, :] rigidH)
cdef void set_rigid_Hx(int i, int j, int k, np.int8_t[:, :, :, :] rigidH)
cdef void set_rigid_Hy(int i, int j, int k, np.int8_t[:, :, :, :] rigidH)
cdef void set_rigid_Hz(int i, int j, int k, np.int8_t[:, :, :, :] rigidH)
cdef void set_rigid_H(int i, int j, int k, np.int8_t[:, :, :, :] rigidH)
cdef void unset_rigid_H(int i, int j, int k, np.int8_t[:, :, :, :] rigidH)

157
gprMax/yee_cell_setget_rigid.pyx 普通文件
查看文件

@@ -0,0 +1,157 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import numpy as np
cimport numpy as np
# Get and set functions for the rigid electric component array. The rigid array is 4D with the 1st dimension holding
# the 12 electric edge components of a cell - Ex1, Ex2, Ex3, Ex4, Ey1, Ey2, Ey3, Ey4, Ez1, Ez2, Ez3, Ez4
cdef bint get_rigid_Ex(int i, int j, int k, np.int8_t[:, :, :, :] rigidE):
cdef bint result
result = False
if rigidE[0, i, j, k]:
result = True
if j != 0:
if rigidE[1, i, j - 1, k]:
result = True
if k != 0:
if rigidE[3, i, j, k - 1]:
result = True
if j != 0 and k != 0:
if rigidE[2, i, j - 1, k - 1]:
result = True
return result
cdef bint get_rigid_Ey(int i, int j, int k, np.int8_t[:, :, :, :] rigidE):
cdef bint result
result = False
if rigidE[4, i, j, k]:
result = True
if i != 0:
if rigidE[7, i - 1, j, k]:
result = True
if k != 0:
if rigidE[5, i, j, k - 1]:
result = True
if i != 0 and k != 0:
if rigidE[6, i - 1, j, k - 1]:
result = True
return result
cdef bint get_rigid_Ez(int i, int j, int k, np.int8_t[:, :, :, :] rigidE):
cdef bint result
result = False
if rigidE[8, i, j, k]:
result = True
if i != 0:
if rigidE[9, i - 1, j, k]:
result = True
if j != 0:
if rigidE[11, i, j - 1, k]:
result = True
if i != 0 and j != 0:
if rigidE[10, i - 1, j - 1, k]:
result = True
return result
cdef void set_rigid_Ex(int i, int j, int k, np.int8_t[:, :, :, :] rigidE):
rigidE[0, i, j, k] = True
if j != 0:
rigidE[1, i, j - 1, k] = True
if k != 0:
rigidE[3, i, j, k - 1] = True
if j != 0 and k != 0:
rigidE[2, i, j - 1, k - 1] = True
cdef void set_rigid_Ey(int i, int j, int k, np.int8_t[:, :, :, :] rigidE):
rigidE[4, i, j, k] = True
if i != 0:
rigidE[7, i - 1, j, k] = True
if k != 0:
rigidE[5, i, j, k - 1] = True
if i != 0 and k != 0:
rigidE[6, i - 1, j, k - 1] = True
cdef void set_rigid_Ez(int i, int j, int k, np.int8_t[:, :, :, :] rigidE):
rigidE[8, i, j, k] = True
if i != 0:
rigidE[9, i - 1, j, k] = True
if j != 0:
rigidE[11, i, j - 1, k] = True
if i != 0 and j != 0:
rigidE[10, i - 1, j - 1, k] = True
cdef void set_rigid_E(int i, int j, int k, np.int8_t[:, :, :, :] rigidE):
rigidE[:, i, j, k] = True
cdef void unset_rigid_E(int i, int j, int k, np.int8_t[:, :, :, :] rigidE):
rigidE[:, i, j, k] = False
# Get and set functions for the rigid magnetic component array. The rigid array is 4D with the 1st dimension holding
# the 6 magnetic edge components - Hx1, Hx2, Hy1, Hy2, Hz1, Hz2
cdef bint get_rigid_Hx(int i, int j, int k, np.int8_t[:, :, :, :] rigidH):
cdef bint result
result = False
if rigidH[0, i, j, k]:
result = True
if i != 0:
if rigidH[1, i - 1, j, k]:
result = True
return result
cdef bint get_rigid_Hy(int i, int j, int k, np.int8_t[:, :, :, :] rigidH):
cdef bint result
result = False
if rigidH[2, i, j, k]:
result = True
if j != 0:
if rigidH[3, i, j - 1, k]:
result = True
return result
cdef bint get_rigid_Hz(int i, int j, int k, np.int8_t[:, :, :, :] rigidH):
cdef bint result
result = False
if rigidH[4, i, j, k]:
result = True
if k != 0:
if rigidH[5, i, j, k - 1]:
result = True
return result
cdef void set_rigid_Hx(int i, int j, int k, np.int8_t[:, :, :, :] rigidH):
rigidH[0, i, j, k] = True
if i != 0:
rigidH[1, i - 1, j, k] = True
cdef void set_rigid_Hy(int i, int j, int k, np.int8_t[:, :, :, :] rigidH):
rigidH[2, i, j, k] = True
if j != 0:
rigidH[3, i, j - 1, k] = True
cdef void set_rigid_Hz(int i, int j, int k, np.int8_t[:, :, :, :] rigidH):
rigidH[4, i, j, k] = True
if k != 0:
rigidH[5, i, j, k - 1] = True
cdef void set_rigid_H(int i, int j, int k, np.int8_t[:, :, :, :] rigidH):
rigidH[:, i, j, k] = True
cdef void unset_rigid_H(int i, int j, int k, np.int8_t[:, :, :, :] rigidH):
rigidH[:, i, j, k] = False

136
setup.py 普通文件
查看文件

@@ -0,0 +1,136 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
try:
from setuptools import setup, Extension
except ImportError:
from distutils.core import setup
from distutils.extension import Extension
try:
import numpy as np
except ImportError:
raise ImportError('The numpy package is required to build gprMax.')
import glob, os, re, shutil, sys
# Main package name
packagename = 'gprMax'
# Read version number from gprMax/gprMax.py
version = re.search('^__version__\s*=\s*\'(.*)\'',
open(os.path.join(packagename, 'gprMax.py')).read(),
re.M).group(1)
# Mac OS X - need to install gcc (via HomeBrew) and set it to be used. This is required because the default compiler LLVM (clang) does not support OpenMP
if sys.platform == 'darwin':
# Try to find a HomeBrew installed gcc
os.environ['CC'] = glob.glob('/usr/local/bin/gcc-[4-5]*')[0].split(os.sep)[-1]
# Either Cythonize or just compile the .c files if --no-cython is given
if '--no-cython' in sys.argv:
USE_CYTHON = False
sys.argv.remove('--no-cython')
else:
USE_CYTHON = True
# Build a list of all the files that need to be Cythonized looking in gprMax directory and user_libs
cythonfiles = []
for root, dirs, files in os.walk(os.path.join(os.getcwd(), packagename)):
for file in files:
if file.endswith('.pyx'):
cythonfiles.append(os.path.join(packagename, file))
for root, dirs, files in os.walk(os.path.join(os.getcwd(), 'user_libs')):
for file in files:
if file.endswith('.pyx'):
cythonfiles.append(os.path.join('user_libs', file))
# Option to cleanup Cython files
if 'cleanall' in sys.argv:
USE_CYTHON = False
print('Deleting Cython files...')
for file in cythonfiles:
tmp = os.path.splitext(file)
cfile = tmp[0] + '.c'
if sys.platform == 'win32':
libfile = tmp[0] + '.pyd'
else:
libfile = tmp[0] + '.so'
try:
os.remove(cfile)
except OSError:
pass
try:
os.remove(libfile)
except OSError:
pass
shutil.rmtree('build', ignore_errors=True)
# Now do a normal clean
sys.argv[1] = 'clean' # this is what distutils understands
# Build a list of all the extensions
if sys.platform == 'win32':
compile_args = ['/O2', '/openmp', '/w']
linker_args = ['/openmp']
else:
compile_args = ['-O3', '-fopenmp', '-w']
linker_args = ['-fopenmp']
extensions = []
for file in cythonfiles:
tmp = os.path.splitext(file)
if USE_CYTHON:
fileext = tmp[1]
else:
fileext = '.c'
extension = Extension(tmp[0].replace(os.sep, '.'),
[tmp[0] + fileext],
language='c',
include_dirs=[np.get_include()],
extra_compile_args=compile_args,
extra_link_args=linker_args)
extensions.append(extension)
if USE_CYTHON:
from Cython.Build import cythonize
extensions = cythonize(extensions,
compiler_directives={
'boundscheck': False,
'wraparound': False,
'embedsignature': True,
'language_level': 3
},
annotate=False)
setup(name=packagename,
version=version,
author='Craig Warren and Antonis Giannopoulos',
url='http://www.gprmax.com',
description='Electromagnetic Modelling Software based on the Finite-Difference Time-Domain (FDTD) method',
license='GPLv3+',
classifiers=[
'Environment :: Console',
'License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)',
'Operating System :: MacOS :: MacOS X',
'Operating System :: Microsoft :: Windows :: Windows 7',
'Operating System :: POSIX :: Linux',
'Programming Language :: Cython',
'Programming Language :: Python :: 3 :: Only'
],
ext_modules=extensions,
include_dirs=[np.get_include()])

99
setup_dev.py 普通文件
查看文件

@@ -0,0 +1,99 @@
# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
from setuptools import setup, Extension
#import py2exe, os, sys, re
import os, sys, re
from cx_Freeze import setup, Executable
#sys.argv.append('py2exe')
# Main package name
packagename = 'gprMax'
# Read version number from gprMax/gprMax.py
version = re.search('^__version__\s*=\s*\'(.*)\'',
open(os.path.join(packagename, 'gprMax.py')).read(),
re.M).group(1)
includes = []
include_files = []
excludes = []
packages = ['gprMax']
options = {
'build_exe': {
'path': [],
'includes': includes,
'include_files': include_files,
'excludes': excludes,
'packages': packages,
'optimize': 2,
}
}
executables = [
Executable('gprMax/gprMax.py'),
]
setup(name=packagename,
version=version,
author='Craig Warren and Antonis Giannopoulos',
url='http://www.gprmax.com',
description='Electromagnetic Modelling Software based on the Finite-Difference Time-Domain (FDTD) method',
license='GPLv3+',
classifiers=[
'Environment :: Console',
'License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)',
'Operating System :: MacOS :: MacOS X',
'Operating System :: Microsoft :: Windows :: Windows 7',
'Operating System :: POSIX :: Linux',
'Programming Language :: Cython',
'Programming Language :: Python :: 3 :: Only'
],
options=options,
executables=executables
)
#setup(name=packagename,
# version=version,
# author='Craig Warren and Antonis Giannopoulos',
# url='http://www.gprmax.com',
# description='Electromagnetic Modelling Software based on the Finite-Difference Time-Domain (FDTD) method',
# license='GPLv3+',
# classifiers=[
# 'Environment :: Console',
# 'License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)',
# 'Operating System :: MacOS :: MacOS X',
# 'Operating System :: Microsoft :: Windows :: Windows 7',
# 'Operating System :: POSIX :: Linux',
# 'Programming Language :: Cython',
# 'Programming Language :: Python :: 3 :: Only'
# ],
# console=[{'script':'gprMax\gprMax.py'}],
# options = {"py2exe": {"compressed": False,
# "optimize": 2,
# "includes": includes,
# "excludes": excludes,
# "packages": packages,
# "dll_excludes": dll_excludes,
# "bundle_files": 1,
# }
# },
# zipfile = None,
# )

0
tests/__init__.py 普通文件
查看文件

13
tests/analytical/hertzian_dipole_fs/hertzian_dipole_fs.in 可执行文件
查看文件

@@ -0,0 +1,13 @@
#title: Hertzian dipole in free-space
#domain: 0.100 0.100 0.100
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 3e-9
#waveform: gaussiandot 1 1e9 myWave
#hertzian_dipole: z 0.050 0.050 0.050 myWave
#rx: 0.070 0.070 0.070
python:
for time in range(1,50):
print('#snapshot: 0.001 0.001 0.001 0.099 0.099 0.099 0.001 0.001 0.001 {} {}'.format(0.1e-9 * time, 'snap' + str(time)))
end_python:

二进制
tests/analytical/hertzian_dipole_fs/hertzian_dipole_fs.out 普通文件
查看文件

二进制文件未显示。

二进制
tests/analytical/hertzian_dipole_fs/hertzian_dipole_fs_vs_analytical.pdf 普通文件
查看文件

二进制文件未显示。

二进制
tests/analytical/hertzian_dipole_fs/hertzian_dipole_fs_vs_analytical_diffs.pdf 普通文件
查看文件

二进制文件未显示。

157
tests/analytical_solutions.py 普通文件
查看文件

@@ -0,0 +1,157 @@
import numpy as np
from gprMax.constants import c, e0
from gprMax.utilities import rvalue
from gprMax.waveforms import Waveform
def hertzian_dipole_fs(timewindow, dt, dxdydz, rx):
"""Analytical solution of a z-directed Hertzian dipole in free space with a Gaussian current waveform (http://dx.doi.org/10.1016/0021-9991(83)90103-1).
Args:
timewindow (float): Length of time window (seconds).
dt (float): Time step (seconds).
dxdydz (float): Tuple of spatial resolution (metres).
rx (float): Tuple of coordinates of receiver position relative to transmitter position (metres).
Returns:
fields (float): Array contain electric and magnetic field components.
"""
# Waveform
w = Waveform()
w.type = 'gaussiandot'
w.amp = 1
w.freq = 1e9
# Waveform integral
wint = Waveform()
wint.type = 'gaussian'
wint.amp = w.amp
wint.freq = w.freq
# Waveform first derivative
wdot = Waveform()
wdot.type = 'gaussiandotdot'
wdot.amp = w.amp
wdot.freq = w.freq
# Time
iterations = rvalue(timewindow / dt)
time = np.linspace(0, timewindow, iterations)
# Spatial resolution
dx = dxdydz[0]
dy = dxdydz[1]
dz = dxdydz[2]
# Coordinates of Rx relative to Tx
x = rx[0]
y = rx[1]
z = rx[2]
if z == 0:
sign_z = 1
else:
sign_z = np.sign(z)
# Coordinates of Rx for Ex FDTD component
Ex_x = x + 0.5 * dx
Ex_y = y
Ex_z = z - 0.5 * dz
Er_x = np.sqrt((Ex_x**2 + Ex_y**2 + Ex_z**2))
tau_Ex = Er_x / c
# Coordinates of Rx for Ey FDTD component
Ey_x = x
Ey_y = y + 0.5 * dy
Ey_z = z - 0.5 * dz
Er_y = np.sqrt((Ey_x**2 + Ey_y**2 + Ey_z**2))
tau_Ey = Er_y / c
# Coordinates of Rx for Ez FDTD component
Ez_x = x
Ez_y = y
Ez_z = z
Er_z = np.sqrt((Ez_x**2 + Ez_y**2 + Ez_z**2))
tau_Ez = Er_z / c
# Coordinates of Rx for Hx FDTD component
Hx_x = x
Hx_y = y + 0.5 * dy
Hx_z = z
Hr_x = np.sqrt((Hx_x**2 + Hx_y**2 + Hx_z**2))
tau_Hx = Hr_x / c
# Coordinates of Rx for Hy FDTD component
Hy_x = x + 0.5 * dx
Hy_y = y
Hy_z = z
Hr_y = np.sqrt((Hy_x**2 + Hy_y**2 + Hy_z**2))
tau_Hy = Hr_y / c
# Coordinates of Rx for Hz FDTD component
Hz_x = x + 0.5 * dx
Hz_y = y + 0.5 * dy
Hz_z = z - 0.5 * dz
Hr_z = np.sqrt((Hz_x**2 + Hz_y**2 + Hz_z**2))
tau_Hz = Hr_z / c
# Initialise fields
fields = np.zeros((iterations, 6))
# Calculate fields
for timestep in range(iterations):
# Calculate values for waveform
fint_Ex = wint.calculate_value((timestep * dt) - tau_Ex, dt) * dx
f_Ex = w.calculate_value((timestep * dt) - tau_Ex, dt) * dx
fdot_Ex = wdot.calculate_value((timestep * dt) - tau_Ex, dt) * dx
fint_Ey = wint.calculate_value((timestep * dt) - tau_Ey, dt) * dy
f_Ey= w.calculate_value((timestep * dt) - tau_Ey, dt) * dy
fdot_Ey = wdot.calculate_value((timestep * dt) - tau_Ey, dt) * dy
fint_Ez = wint.calculate_value((timestep * dt) - tau_Ez, dt) * dz
f_Ez = w.calculate_value((timestep * dt) - tau_Ez, dt) * dz
fdot_Ez = wdot.calculate_value((timestep * dt) - tau_Ez, dt) * dz
fint_Hx = wint.calculate_value((timestep * dt) - tau_Hx, dt) * dx
f_Hx = w.calculate_value((timestep * dt) - tau_Hx, dt) * dx
fdot_Hx = wdot.calculate_value((timestep * dt) - tau_Hx, dt) * dx
fint_Hy = wint.calculate_value((timestep * dt) - tau_Hy, dt) * dy
f_Hy= w.calculate_value((timestep * dt) - tau_Hy, dt) * dy
fdot_Hy = wdot.calculate_value((timestep * dt) - tau_Hy, dt) * dy
fint_Hz = wint.calculate_value((timestep * dt) - tau_Hz, dt) * dz
f_Hz = w.calculate_value((timestep * dt) - tau_Hz, dt) * dz
fdot_Hz = wdot.calculate_value((timestep * dt) - tau_Hz, dt) * dz
# Ex
fields[timestep, 0] = ((Ex_x * Ex_z) / (4 * np.pi * e0 * Er_x**5)) * (3 * (fint_Ex + (tau_Ex * f_Ex)) + (tau_Ex**2 * fdot_Ex))
# Ey
try:
tmp = Ey_y / Ey_x
except ZeroDivisionError:
tmp = 0
fields[timestep, 1] = tmp * ((Ey_x * Ey_z) / (4 * np.pi * e0 * Er_y**5)) * (3 * (fint_Ey + (tau_Ey * f_Ey)) + (tau_Ey**2 * fdot_Ey))
# Ez
fields[timestep, 2] = (1 / (4 * np.pi * e0 * Er_z**5)) * ((2 * Ez_z**2 - (Ez_x**2 + Ez_y**2)) * (fint_Ez + (tau_Ez * f_Ez)) - (Ez_x**2 + Ez_y**2) * tau_Ez**2 * fdot_Ez)
# Hx
fields[timestep, 3] = - (Hx_y / (4 * np.pi * Hr_x**3)) * (f_Hx + (tau_Hx * fdot_Hx))
# Hy
try:
tmp = Hy_x / Hy_y
except ZeroDivisionError:
tmp = 0
fields[timestep, 4] = - tmp * (- (Hy_y / (4 * np.pi * Hr_y**3)) * (f_Hy + (tau_Hy * fdot_Hy)))
# Hz
fields[timestep, 5] = 0
return fields

10
tests/experimental/antenna_GSSI_1500_fs/antenna_GSSI_1500_fs.in 可执行文件
查看文件

@@ -0,0 +1,10 @@
#title: GSSI 1.5GHz 'like' antenna in free-space
#domain: 0.250 0.187 0.183
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 8E-9
#python:
from user_libs.antennas import antenna_like_GSSI_1500
antenna_like_GSSI_1500(0.125, 0.094, 0.100)
#end_python:

二进制
tests/experimental/antenna_GSSI_1500_fs/antenna_GSSI_1500_fs.out 普通文件
查看文件

二进制文件未显示。

82
tests/experimental/antenna_GSSI_1500_fs/antenna_GSSI_1500_fs_proc.in 普通文件
查看文件

@@ -0,0 +1,82 @@
#title: GSSI 1.5GHz 'like' antenna in free-space
#domain: 0.250 0.187 0.183
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 8E-9
#material: 1.7 0.59 1.0 0.0 absorber
#material: 3.0 0.0 1.0 0.0 pcb
#material: 2.35 0.0 1.0 0.0 hdpe
#box: 0.039999999999999994 0.04 0.10400000000000001 0.21000000000000002 0.148 0.14700000000000002 hdpe
#box: 0.041999999999999996 0.042 0.10400000000000001 0.20800000000000002 0.146 0.14500000000000002 free_space
#box: 0.065 0.042 0.10400000000000001 0.18500000000000003 0.146 0.131 pec
#box: 0.067 0.044000000000000004 0.10400000000000001 0.124 0.144 0.128 pcb
#box: 0.07 0.04700000000000001 0.10400000000000001 0.121 0.141 0.129 absorber
#box: 0.126 0.044000000000000004 0.10400000000000001 0.183 0.144 0.128 pcb
#box: 0.129 0.04700000000000001 0.10400000000000001 0.18 0.141 0.129 absorber
#box: 0.07 0.04700000000000001 0.10400000000000001 0.121 0.141 0.10600000000000001 pcb
#box: 0.129 0.04700000000000001 0.10400000000000001 0.18 0.141 0.10600000000000001 pcb
#plate: 0.08499999999999999 0.079 0.10400000000000001 0.105 0.08 0.10400000000000001 pec
#plate: 0.08499999999999999 0.10700000000000001 0.10400000000000001 0.105 0.10800000000000001 0.10400000000000001 pec
#plate: 0.144 0.079 0.10400000000000001 0.16399999999999998 0.08 0.10400000000000001 pec
#plate: 0.144 0.10700000000000001 0.10400000000000001 0.16399999999999998 0.10800000000000001 0.10400000000000001 pec
#plate: 0.086 0.08 0.10400000000000001 0.104 0.081 0.10400000000000001 pec
#plate: 0.086 0.10600000000000001 0.10400000000000001 0.104 0.10700000000000001 0.10400000000000001 pec
#plate: 0.145 0.08 0.10400000000000001 0.16299999999999998 0.081 0.10400000000000001 pec
#plate: 0.145 0.10600000000000001 0.10400000000000001 0.16299999999999998 0.10700000000000001 0.10400000000000001 pec
#plate: 0.087 0.081 0.10400000000000001 0.103 0.082 0.10400000000000001 pec
#plate: 0.087 0.10500000000000001 0.10400000000000001 0.103 0.10600000000000001 0.10400000000000001 pec
#plate: 0.146 0.081 0.10400000000000001 0.16199999999999998 0.082 0.10400000000000001 pec
#plate: 0.146 0.10500000000000001 0.10400000000000001 0.16199999999999998 0.10600000000000001 0.10400000000000001 pec
#plate: 0.087 0.082 0.10400000000000001 0.103 0.083 0.10400000000000001 pec
#plate: 0.087 0.10400000000000001 0.10400000000000001 0.103 0.10500000000000001 0.10400000000000001 pec
#plate: 0.146 0.082 0.10400000000000001 0.16199999999999998 0.083 0.10400000000000001 pec
#plate: 0.146 0.10400000000000001 0.10400000000000001 0.16199999999999998 0.10500000000000001 0.10400000000000001 pec
#plate: 0.088 0.083 0.10400000000000001 0.102 0.084 0.10400000000000001 pec
#plate: 0.088 0.10300000000000001 0.10400000000000001 0.102 0.10400000000000001 0.10400000000000001 pec
#plate: 0.147 0.083 0.10400000000000001 0.16099999999999998 0.084 0.10400000000000001 pec
#plate: 0.147 0.10300000000000001 0.10400000000000001 0.16099999999999998 0.10400000000000001 0.10400000000000001 pec
#plate: 0.089 0.084 0.10400000000000001 0.10099999999999999 0.085 0.10400000000000001 pec
#plate: 0.089 0.10200000000000001 0.10400000000000001 0.10099999999999999 0.10300000000000001 0.10400000000000001 pec
#plate: 0.148 0.084 0.10400000000000001 0.15999999999999998 0.085 0.10400000000000001 pec
#plate: 0.148 0.10200000000000001 0.10400000000000001 0.15999999999999998 0.10300000000000001 0.10400000000000001 pec
#plate: 0.089 0.085 0.10400000000000001 0.10099999999999999 0.08600000000000001 0.10400000000000001 pec
#plate: 0.089 0.101 0.10400000000000001 0.10099999999999999 0.10200000000000001 0.10400000000000001 pec
#plate: 0.148 0.085 0.10400000000000001 0.15999999999999998 0.08600000000000001 0.10400000000000001 pec
#plate: 0.148 0.101 0.10400000000000001 0.15999999999999998 0.10200000000000001 0.10400000000000001 pec
#plate: 0.09 0.08600000000000001 0.10400000000000001 0.09999999999999999 0.08700000000000001 0.10400000000000001 pec
#plate: 0.09 0.1 0.10400000000000001 0.09999999999999999 0.101 0.10400000000000001 pec
#plate: 0.149 0.08600000000000001 0.10400000000000001 0.15899999999999997 0.08700000000000001 0.10400000000000001 pec
#plate: 0.149 0.1 0.10400000000000001 0.15899999999999997 0.101 0.10400000000000001 pec
#plate: 0.091 0.087 0.10400000000000001 0.09899999999999999 0.088 0.10400000000000001 pec
#plate: 0.091 0.099 0.10400000000000001 0.09899999999999999 0.1 0.10400000000000001 pec
#plate: 0.15 0.087 0.10400000000000001 0.15799999999999997 0.088 0.10400000000000001 pec
#plate: 0.15 0.099 0.10400000000000001 0.15799999999999997 0.1 0.10400000000000001 pec
#plate: 0.092 0.088 0.10400000000000001 0.09799999999999999 0.089 0.10400000000000001 pec
#plate: 0.092 0.098 0.10400000000000001 0.09799999999999999 0.099 0.10400000000000001 pec
#plate: 0.151 0.088 0.10400000000000001 0.15699999999999997 0.089 0.10400000000000001 pec
#plate: 0.151 0.098 0.10400000000000001 0.15699999999999997 0.099 0.10400000000000001 pec
#plate: 0.092 0.089 0.10400000000000001 0.09799999999999999 0.09 0.10400000000000001 pec
#plate: 0.092 0.09700000000000002 0.10400000000000001 0.09799999999999999 0.09800000000000002 0.10400000000000001 pec
#plate: 0.151 0.089 0.10400000000000001 0.15699999999999997 0.09 0.10400000000000001 pec
#plate: 0.151 0.09700000000000002 0.10400000000000001 0.15699999999999997 0.09800000000000002 0.10400000000000001 pec
#plate: 0.093 0.09 0.10400000000000001 0.097 0.091 0.10400000000000001 pec
#plate: 0.093 0.09600000000000002 0.10400000000000001 0.097 0.09700000000000002 0.10400000000000001 pec
#plate: 0.152 0.09 0.10400000000000001 0.15599999999999997 0.091 0.10400000000000001 pec
#plate: 0.152 0.09600000000000002 0.10400000000000001 0.15599999999999997 0.09700000000000002 0.10400000000000001 pec
#plate: 0.094 0.091 0.10400000000000001 0.096 0.092 0.10400000000000001 pec
#plate: 0.094 0.09500000000000001 0.10400000000000001 0.096 0.09600000000000002 0.10400000000000001 pec
#plate: 0.153 0.091 0.10400000000000001 0.15499999999999997 0.092 0.10400000000000001 pec
#plate: 0.153 0.09500000000000001 0.10400000000000001 0.15499999999999997 0.09600000000000002 0.10400000000000001 pec
#plate: 0.08399999999999999 0.10800000000000001 0.10400000000000001 0.10599999999999998 0.12300000000000001 0.10400000000000001 pec
#plate: 0.143 0.10800000000000001 0.10400000000000001 0.16499999999999998 0.12300000000000001 0.10400000000000001 pec
#edge: 0.095 0.092 0.10400000000000001 0.095 0.093 0.10400000000000001 pec
#edge: 0.095 0.094 0.10400000000000001 0.095 0.095 0.10400000000000001 pec
#edge: 0.154 0.092 0.10400000000000001 0.154 0.093 0.10400000000000001 pec
#edge: 0.154 0.094 0.10400000000000001 0.154 0.095 0.10400000000000001 pec
#plate: 0.08399999999999999 0.064 0.10400000000000001 0.10599999999999998 0.079 0.10400000000000001 pec
#plate: 0.143 0.064 0.10400000000000001 0.16499999999999998 0.079 0.10400000000000001 pec
#box: 0.039999999999999994 0.04 0.1 0.21000000000000002 0.148 0.10400000000000001 hdpe
#geometry_view: 0.03899999999999999 0.039 0.099 0.21100000000000002 0.149 0.14800000000000002 0.001 0.001 0.001 antenna_like_GSSI_1500 n
#geometry_view: 0.039999999999999994 0.04 0.1 0.21000000000000002 0.148 0.11 0.001 0.001 0.001 antenna_like_GSSI_1500_pcb f
#waveform: gaussian 1.0 1500000000.0 myGaussian
#voltage_source: y 0.154 0.093 0.10400000000000001 50 myGaussian
#rx: 0.095 0.093 0.10400000000000001

4096
tests/experimental/antenna_GSSI_1500_fs/antenna_GSSI_1500_fs_real.txt 普通文件
查看文件

文件差异内容过多而无法显示 加载差异

二进制
tests/experimental/antenna_GSSI_1500_fs/antenna_GSSI_1500_fs_vs_antenna_GSSI_1500_fs_real.pdf 普通文件
查看文件

二进制文件未显示。

二进制
tests/experimental/antenna_GSSI_1500_fs/antenna_like_GSSI_1500.vti 普通文件
查看文件

二进制文件未显示。

二进制
tests/experimental/antenna_GSSI_1500_fs/antenna_like_GSSI_1500_pcb.vtp 普通文件
查看文件

二进制文件未显示。

10
tests/experimental/antenna_MALA_1200_fs/antenna_MALA_1200_fs.in 可执行文件
查看文件

@@ -0,0 +1,10 @@
#title: MALA 1.2GHz 'like' antenna in free-space
#domain: 0.264 0.189 0.220
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 6e-9
#python:
from user_libs.antennas import antenna_like_MALA_1200
antenna_like_MALA_1200(0.132, 0.095, 0.100)
#end_python:

二进制
tests/experimental/antenna_MALA_1200_fs/antenna_MALA_1200_fs.out 普通文件
查看文件

二进制文件未显示。

77
tests/experimental/antenna_MALA_1200_fs/antenna_MALA_1200_fs_proc.in 普通文件
查看文件

@@ -0,0 +1,77 @@
#title: MALA 1.2GHz 'like' antenna in free-space
#domain: 0.264 0.189 0.220
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 6e-9
#material: 6.49 0.252 1.0 0.0 absorber
#material: 3.0 0.0 1.0 0.0 pcb
#material: 2.35 0.0 1.0 0.0 hdpe
#material: 2.26 0.0 1.0 0.0 polypropylene
#material: 3.0 4.255 1.0 0.0 txreslower
#material: 3.0 3.191 1.0 0.0 txresupper
#material: 3.0 13.333 1.0 0.0 rxreslower
#material: 3.0 10.000 1.0 0.0 rxresupper
#box: 0.04000000000000001 0.0405 0.10600000000000001 0.224 0.1495 0.14600000000000002 pec
#box: 0.06000000000000001 0.0425 0.10600000000000001 0.14 0.1475 0.10800000000000001 free_space
#box: 0.14 0.0425 0.10600000000000001 0.222 0.1475 0.10800000000000001 free_space
#box: 0.06000000000000001 0.0425 0.10600000000000001 0.14 0.1475 0.14400000000000002 absorber
#box: 0.14 0.0425 0.10600000000000001 0.222 0.1475 0.14400000000000002 absorber
#cylinder: 0.095 0.1415 0.10600000000000001 0.095 0.1415 0.14400000000000002 0.008 pec
#cylinder: 0.095 0.0485 0.10600000000000001 0.095 0.0485 0.14400000000000002 0.008 pec
#cylinder: 0.187 0.1415 0.10600000000000001 0.187 0.1415 0.14400000000000002 0.008 pec
#cylinder: 0.187 0.0485 0.10600000000000001 0.187 0.0485 0.14400000000000002 0.008 pec
#cylinder: 0.095 0.1415 0.10600000000000001 0.095 0.1415 0.14400000000000002 0.007 free_space
#cylinder: 0.095 0.0485 0.10600000000000001 0.095 0.0485 0.14400000000000002 0.007 free_space
#cylinder: 0.187 0.1415 0.10600000000000001 0.187 0.1415 0.14400000000000002 0.007 free_space
#cylinder: 0.187 0.0485 0.10600000000000001 0.187 0.0485 0.14400000000000002 0.007 free_space
#box: 0.094 0.1335 0.10600000000000001 0.096 0.13549999999999998 0.14400000000000002 free_space
#box: 0.094 0.0545 0.10600000000000001 0.096 0.0565 0.14400000000000002 free_space
#box: 0.186 0.1335 0.10600000000000001 0.188 0.13549999999999998 0.14400000000000002 free_space
#box: 0.186 0.0545 0.10600000000000001 0.188 0.0565 0.14400000000000002 free_space
#box: 0.06000000000000001 0.058499999999999996 0.10600000000000001 0.222 0.1315 0.10800000000000001 pcb
#box: 0.07200000000000001 0.0625 0.10600000000000001 0.134 0.1245 0.14300000000000002 pec
#box: 0.07300000000000001 0.0635 0.10600000000000001 0.133 0.1235 0.14300000000000002 absorber
#box: 0.14800000000000002 0.0625 0.10600000000000001 0.21000000000000002 0.1245 0.14300000000000002 pec
#box: 0.14900000000000002 0.0635 0.10600000000000001 0.20900000000000002 0.1235 0.14300000000000002 free_space
#box: 0.134 0.1185 0.14100000000000001 0.14800000000000002 0.1245 0.14300000000000002 pec
#box: 0.134 0.0625 0.14100000000000001 0.14800000000000002 0.0685 0.14300000000000002 pec
#box: 0.07300000000000001 0.0635 0.10600000000000001 0.133 0.1235 0.10800000000000001 pcb
#box: 0.14900000000000002 0.0635 0.10600000000000001 0.20900000000000002 0.1235 0.10800000000000001 pcb
#triangle: 0.10300000000000001 0.0915 0.10600000000000001 0.07700000000000001 0.0665 0.10600000000000001 0.129 0.0665 0.10600000000000001 0 pec
#edge: 0.10300000000000001 0.0915 0.10600000000000001 0.10300000000000001 0.0925 0.10600000000000001 pec
#triangle: 0.10300000000000001 0.0945 0.10600000000000001 0.07700000000000001 0.1195 0.10600000000000001 0.129 0.1195 0.10600000000000001 0 pec
#edge: 0.10300000000000001 0.0935 0.10600000000000001 0.10300000000000001 0.0945 0.10600000000000001 pec
#triangle: 0.179 0.0915 0.10600000000000001 0.153 0.0665 0.10600000000000001 0.205 0.0665 0.10600000000000001 0 pec
#edge: 0.179 0.0915 0.10600000000000001 0.179 0.0925 0.10600000000000001 pec
#triangle: 0.179 0.0945 0.10600000000000001 0.153 0.1195 0.10600000000000001 0.205 0.1195 0.10600000000000001 0 pec
#edge: 0.179 0.0935 0.10600000000000001 0.179 0.0945 0.10600000000000001 pec
#edge: 0.08000000000000002 0.0635 0.10600000000000001 0.08000000000000002 0.0665 0.10600000000000001 txreslower
#edge: 0.08100000000000002 0.0635 0.10600000000000001 0.08100000000000002 0.0665 0.10600000000000001 txreslower
#edge: 0.10300000000000001 0.0635 0.10600000000000001 0.10300000000000001 0.0665 0.10600000000000001 txreslower
#edge: 0.10400000000000001 0.0635 0.10600000000000001 0.10400000000000001 0.0665 0.10600000000000001 txreslower
#edge: 0.125 0.0635 0.10600000000000001 0.125 0.0665 0.10600000000000001 txreslower
#edge: 0.126 0.0635 0.10600000000000001 0.126 0.0665 0.10600000000000001 txreslower
#edge: 0.08000000000000002 0.1195 0.10600000000000001 0.08000000000000002 0.1235 0.10600000000000001 txresupper
#edge: 0.08100000000000002 0.1195 0.10600000000000001 0.08100000000000002 0.1235 0.10600000000000001 txresupper
#edge: 0.10300000000000001 0.1195 0.10600000000000001 0.10300000000000001 0.1235 0.10600000000000001 txresupper
#edge: 0.10400000000000001 0.1195 0.10600000000000001 0.10400000000000001 0.1235 0.10600000000000001 txresupper
#edge: 0.125 0.1195 0.10600000000000001 0.125 0.1235 0.10600000000000001 txresupper
#edge: 0.126 0.1195 0.10600000000000001 0.126 0.1235 0.10600000000000001 txresupper
#edge: 0.15600000000000003 0.0635 0.10600000000000001 0.15600000000000003 0.0665 0.10600000000000001 rxreslower
#edge: 0.15700000000000003 0.0635 0.10600000000000001 0.15700000000000003 0.0665 0.10600000000000001 rxreslower
#edge: 0.179 0.0635 0.10600000000000001 0.179 0.0665 0.10600000000000001 rxreslower
#edge: 0.18 0.0635 0.10600000000000001 0.18 0.0665 0.10600000000000001 rxreslower
#edge: 0.201 0.0635 0.10600000000000001 0.201 0.0665 0.10600000000000001 rxreslower
#edge: 0.202 0.0635 0.10600000000000001 0.202 0.0665 0.10600000000000001 rxreslower
#edge: 0.15600000000000003 0.1195 0.10600000000000001 0.15600000000000003 0.1235 0.10600000000000001 rxresupper
#edge: 0.15700000000000003 0.1195 0.10600000000000001 0.15700000000000003 0.1235 0.10600000000000001 rxresupper
#edge: 0.179 0.1195 0.10600000000000001 0.179 0.1235 0.10600000000000001 rxresupper
#edge: 0.18 0.1195 0.10600000000000001 0.18 0.1235 0.10600000000000001 rxresupper
#edge: 0.201 0.1195 0.10600000000000001 0.201 0.1235 0.10600000000000001 rxresupper
#edge: 0.202 0.1195 0.10600000000000001 0.202 0.1235 0.10600000000000001 rxresupper
#box: 0.04000000000000001 0.0405 0.1 0.224 0.1495 0.10300000000000001 polypropylene
#box: 0.04000000000000001 0.0405 0.10300000000000001 0.224 0.1495 0.10600000000000001 hdpe
#geometry_view: 0.03900000000000001 0.0395 0.099 0.225 0.1505 0.14700000000000002 0.001 0.001 0.001 antenna_like_MALA_1200 n
#geometry_view: 0.04000000000000001 0.0405 0.1 0.224 0.1495 0.11 0.001 0.001 0.001 antenna_like_MALA_1200_pcb f
#waveform: gaussian 1.0 978000000.0 myGaussian
#voltage_source: y 0.10300000000000001 0.0925 0.10600000000000001 1000 myGaussian
#rx: 0.179 0.0925 0.10600000000000001

1024
tests/experimental/antenna_MALA_1200_fs/antenna_MALA_1200_fs_real.txt 普通文件
查看文件

文件差异内容过多而无法显示 加载差异

二进制
tests/experimental/antenna_MALA_1200_fs/antenna_MALA_1200_fs_vs_antenna_MALA_1200_fs_real.pdf 普通文件
查看文件

二进制文件未显示。

二进制
tests/experimental/antenna_MALA_1200_fs/antenna_like_MALA_1200.vti 普通文件
查看文件

二进制文件未显示。

二进制
tests/experimental/antenna_MALA_1200_fs/antenna_like_MALA_1200_pcb.vtp 普通文件
查看文件

二进制文件未显示。

27
tests/geometry/geometry_averaging.in 可执行文件
查看文件

@@ -0,0 +1,27 @@
#title: Test of geometry commands and averaging behaviour
#domain: 0.1 0.1 0.1
#time_window: 1
#dx_dy_dz: 0.001 0.001 0.001
#material: 2 0 1 0 mat2
#material: 3 0 1 0 mat3
#material: 4 0 1 0 mat4
#material: 5 0 1 0 mat5
plate: 0.050 0.010 0.030 0.050 0.030 0.050 mat2
box: 0.020 0.020 0.020 0.040 0.040 0.040 mat2
cylinder: 0.090 0.020 0.010 0.090 0.080 0.010 0.005 mat3
cylinder: 0.050 0.050 0.020 0.070 0.070 0.080 0.005 mat3
#cylindrical_sector: x 0.050 0.050 0.040 0.050 0.015 0 90 mat3
sphere: 0.100 0.100 0.100 0.040 mat4
#triangle: 0.020 0.020 0.020 0.020 0.035 0.035 0.020 0.050 0.020 0 mat5
triangle: 0.020 0.020 0.020 0.020 0.035 0.035 0.020 0.050 0.020 0.010 mat5
#geometry_view: 0 0 0 0.1 0.1 0.1 0.001 0.001 0.001 geometry_averaging_solid n
#geometry_view: 0 0 0 0.1 0.1 0.1 0.001 0.001 0.001 geometry_averaging_IDs f

88
tests/numerical_oldC/antenna_GSSI_1500_fs/C_code/antenna_GSSI_1500_fs_proc_oldstyle.in 普通文件
查看文件

@@ -0,0 +1,88 @@
#title: GSSI 1.5GHz 'like' antenna in free-space
#domain: 0.250 0.187 0.183
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 8E-9
#medium: 1.7 0 0 0.59 1.0 0.0 absorber
#medium: 3.0 0 0 0.0 1.0 0.0 pcb
#medium: 2.35 0 0 0.0 1.0 0.0 hdpe
#box: 0.039999999999999994 0.04 0.10400000000000001 0.21000000000000002 0.148 0.14700000000000002 hdpe
#box: 0.041999999999999996 0.042 0.10400000000000001 0.20800000000000002 0.146 0.14500000000000002 free_space
#box: 0.065 0.042 0.10400000000000001 0.18500000000000003 0.146 0.131 pec
#box: 0.067 0.044000000000000004 0.10400000000000001 0.124 0.144 0.128 pcb
#box: 0.07 0.04700000000000001 0.10400000000000001 0.121 0.141 0.129 absorber
#box: 0.126 0.044000000000000004 0.10400000000000001 0.183 0.144 0.128 pcb
#box: 0.129 0.04700000000000001 0.10400000000000001 0.18 0.141 0.129 absorber
#box: 0.07 0.04700000000000001 0.10400000000000001 0.121 0.141 0.10600000000000001 pcb
#box: 0.129 0.04700000000000001 0.10400000000000001 0.18 0.141 0.10600000000000001 pcb
#plate: 0.08499999999999999 0.079 0.10400000000000001 0.105 0.08 0.10400000000000001 pec
#plate: 0.08499999999999999 0.10700000000000001 0.10400000000000001 0.105 0.10800000000000001 0.10400000000000001 pec
#plate: 0.144 0.079 0.10400000000000001 0.16399999999999998 0.08 0.10400000000000001 pec
#plate: 0.144 0.10700000000000001 0.10400000000000001 0.16399999999999998 0.10800000000000001 0.10400000000000001 pec
#plate: 0.086 0.08 0.10400000000000001 0.104 0.081 0.10400000000000001 pec
#plate: 0.086 0.10600000000000001 0.10400000000000001 0.104 0.10700000000000001 0.10400000000000001 pec
#plate: 0.145 0.08 0.10400000000000001 0.16299999999999998 0.081 0.10400000000000001 pec
#plate: 0.145 0.10600000000000001 0.10400000000000001 0.16299999999999998 0.10700000000000001 0.10400000000000001 pec
#plate: 0.087 0.081 0.10400000000000001 0.103 0.082 0.10400000000000001 pec
#plate: 0.087 0.10500000000000001 0.10400000000000001 0.103 0.10600000000000001 0.10400000000000001 pec
#plate: 0.146 0.081 0.10400000000000001 0.16199999999999998 0.082 0.10400000000000001 pec
#plate: 0.146 0.10500000000000001 0.10400000000000001 0.16199999999999998 0.10600000000000001 0.10400000000000001 pec
#plate: 0.087 0.082 0.10400000000000001 0.103 0.083 0.10400000000000001 pec
#plate: 0.087 0.10400000000000001 0.10400000000000001 0.103 0.10500000000000001 0.10400000000000001 pec
#plate: 0.146 0.082 0.10400000000000001 0.16199999999999998 0.083 0.10400000000000001 pec
#plate: 0.146 0.10400000000000001 0.10400000000000001 0.16199999999999998 0.10500000000000001 0.10400000000000001 pec
#plate: 0.088 0.083 0.10400000000000001 0.102 0.084 0.10400000000000001 pec
#plate: 0.088 0.10300000000000001 0.10400000000000001 0.102 0.10400000000000001 0.10400000000000001 pec
#plate: 0.147 0.083 0.10400000000000001 0.16099999999999998 0.084 0.10400000000000001 pec
#plate: 0.147 0.10300000000000001 0.10400000000000001 0.16099999999999998 0.10400000000000001 0.10400000000000001 pec
#plate: 0.089 0.084 0.10400000000000001 0.10099999999999999 0.085 0.10400000000000001 pec
#plate: 0.089 0.10200000000000001 0.10400000000000001 0.10099999999999999 0.10300000000000001 0.10400000000000001 pec
#plate: 0.148 0.084 0.10400000000000001 0.15999999999999998 0.085 0.10400000000000001 pec
#plate: 0.148 0.10200000000000001 0.10400000000000001 0.15999999999999998 0.10300000000000001 0.10400000000000001 pec
#plate: 0.089 0.085 0.10400000000000001 0.10099999999999999 0.08600000000000001 0.10400000000000001 pec
#plate: 0.089 0.101 0.10400000000000001 0.10099999999999999 0.10200000000000001 0.10400000000000001 pec
#plate: 0.148 0.085 0.10400000000000001 0.15999999999999998 0.08600000000000001 0.10400000000000001 pec
#plate: 0.148 0.101 0.10400000000000001 0.15999999999999998 0.10200000000000001 0.10400000000000001 pec
#plate: 0.09 0.08600000000000001 0.10400000000000001 0.09999999999999999 0.08700000000000001 0.10400000000000001 pec
#plate: 0.09 0.1 0.10400000000000001 0.09999999999999999 0.101 0.10400000000000001 pec
#plate: 0.149 0.08600000000000001 0.10400000000000001 0.15899999999999997 0.08700000000000001 0.10400000000000001 pec
#plate: 0.149 0.1 0.10400000000000001 0.15899999999999997 0.101 0.10400000000000001 pec
#plate: 0.091 0.087 0.10400000000000001 0.09899999999999999 0.088 0.10400000000000001 pec
#plate: 0.091 0.099 0.10400000000000001 0.09899999999999999 0.1 0.10400000000000001 pec
#plate: 0.15 0.087 0.10400000000000001 0.15799999999999997 0.088 0.10400000000000001 pec
#plate: 0.15 0.099 0.10400000000000001 0.15799999999999997 0.1 0.10400000000000001 pec
#plate: 0.092 0.088 0.10400000000000001 0.09799999999999999 0.089 0.10400000000000001 pec
#plate: 0.092 0.098 0.10400000000000001 0.09799999999999999 0.099 0.10400000000000001 pec
#plate: 0.151 0.088 0.10400000000000001 0.15699999999999997 0.089 0.10400000000000001 pec
#plate: 0.151 0.098 0.10400000000000001 0.15699999999999997 0.099 0.10400000000000001 pec
#plate: 0.092 0.089 0.10400000000000001 0.09799999999999999 0.09 0.10400000000000001 pec
#plate: 0.092 0.09700000000000002 0.10400000000000001 0.09799999999999999 0.09800000000000002 0.10400000000000001 pec
#plate: 0.151 0.089 0.10400000000000001 0.15699999999999997 0.09 0.10400000000000001 pec
#plate: 0.151 0.09700000000000002 0.10400000000000001 0.15699999999999997 0.09800000000000002 0.10400000000000001 pec
#plate: 0.093 0.09 0.10400000000000001 0.097 0.091 0.10400000000000001 pec
#plate: 0.093 0.09600000000000002 0.10400000000000001 0.097 0.09700000000000002 0.10400000000000001 pec
#plate: 0.152 0.09 0.10400000000000001 0.15599999999999997 0.091 0.10400000000000001 pec
#plate: 0.152 0.09600000000000002 0.10400000000000001 0.15599999999999997 0.09700000000000002 0.10400000000000001 pec
#plate: 0.094 0.091 0.10400000000000001 0.096 0.092 0.10400000000000001 pec
#plate: 0.094 0.09500000000000001 0.10400000000000001 0.096 0.09600000000000002 0.10400000000000001 pec
#plate: 0.153 0.091 0.10400000000000001 0.15499999999999997 0.092 0.10400000000000001 pec
#plate: 0.153 0.09500000000000001 0.10400000000000001 0.15499999999999997 0.09600000000000002 0.10400000000000001 pec
#plate: 0.08399999999999999 0.10800000000000001 0.10400000000000001 0.10599999999999998 0.12300000000000001 0.10400000000000001 pec
#plate: 0.143 0.10800000000000001 0.10400000000000001 0.16499999999999998 0.12300000000000001 0.10400000000000001 pec
#edge: 0.095 0.092 0.10400000000000001 0.095 0.093 0.10400000000000001 pec
#edge: 0.095 0.094 0.10400000000000001 0.095 0.095 0.10400000000000001 pec
#edge: 0.154 0.092 0.10400000000000001 0.154 0.093 0.10400000000000001 pec
#edge: 0.154 0.094 0.10400000000000001 0.154 0.095 0.10400000000000001 pec
#plate: 0.08399999999999999 0.064 0.10400000000000001 0.10599999999999998 0.079 0.10400000000000001 pec
#plate: 0.143 0.064 0.10400000000000001 0.16499999999999998 0.079 0.10400000000000001 pec
#box: 0.039999999999999994 0.04 0.1 0.21000000000000002 0.148 0.10400000000000001 hdpe
#geometry_vtk: 0.03899999999999999 0.039 0.099 0.21100000000000002 0.149 0.14800000000000002 0.001 0.001 0.001 antenna_like_GSSI_1500 n
#geometry_vtk: 0.039999999999999994 0.04 0.1 0.21000000000000002 0.148 0.11 0.001 0.001 0.001 antenna_like_GSSI_1500_pcb f
#messages: y
#num_of_procs: 8
#abc_type: pml
#pml_layers: 10
#voltage_source: 1.0 1500000000.0 gaussian 50 myGaussian
#analysis: 1 antenna_GSSI_1500_fs_proc_oldstyle.out b
#rx: 0.095 0.093 0.10400000000000001
#tx: y 0.154 0.093 0.10400000000000001 myGaussian 0 8e-09
#end_analysis:

二进制
tests/numerical_oldC/antenna_GSSI_1500_fs/C_code/antenna_GSSI_1500_fs_proc_oldstyle.out 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/antenna_GSSI_1500_fs/C_code/antenna_GSSI_1500_fs_proc_oldstyle_hdf5.out 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/antenna_GSSI_1500_fs/C_code/antenna_like_GSSI_1500.vti 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/antenna_GSSI_1500_fs/C_code/antenna_like_GSSI_1500_pcb.vtp 普通文件
查看文件

二进制文件未显示。

10
tests/numerical_oldC/antenna_GSSI_1500_fs/antenna_GSSI_1500_fs.in 可执行文件
查看文件

@@ -0,0 +1,10 @@
#title: GSSI 1.5GHz 'like' antenna in free-space
#domain: 0.250 0.187 0.183
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 8E-9
#python:
from user_libs.antennas import antenna_like_GSSI_1500
antenna_like_GSSI_1500(0.125, 0.094, 0.100)
#end_python:

二进制
tests/numerical_oldC/antenna_GSSI_1500_fs/antenna_GSSI_1500_fs.out 普通文件
查看文件

二进制文件未显示。

82
tests/numerical_oldC/antenna_GSSI_1500_fs/antenna_GSSI_1500_fs_proc.in 普通文件
查看文件

@@ -0,0 +1,82 @@
#title: GSSI 1.5GHz 'like' antenna in free-space
#domain: 0.250 0.187 0.183
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 8E-9
#material: 1.7 0.59 1.0 0.0 absorber
#material: 3.0 0.0 1.0 0.0 pcb
#material: 2.35 0.0 1.0 0.0 hdpe
#box: 0.039999999999999994 0.04 0.10400000000000001 0.21000000000000002 0.148 0.14700000000000002 hdpe
#box: 0.041999999999999996 0.042 0.10400000000000001 0.20800000000000002 0.146 0.14500000000000002 free_space
#box: 0.065 0.042 0.10400000000000001 0.18500000000000003 0.146 0.131 pec
#box: 0.067 0.044000000000000004 0.10400000000000001 0.124 0.144 0.128 pcb
#box: 0.07 0.04700000000000001 0.10400000000000001 0.121 0.141 0.129 absorber
#box: 0.126 0.044000000000000004 0.10400000000000001 0.183 0.144 0.128 pcb
#box: 0.129 0.04700000000000001 0.10400000000000001 0.18 0.141 0.129 absorber
#box: 0.07 0.04700000000000001 0.10400000000000001 0.121 0.141 0.10600000000000001 pcb
#box: 0.129 0.04700000000000001 0.10400000000000001 0.18 0.141 0.10600000000000001 pcb
#plate: 0.08499999999999999 0.079 0.10400000000000001 0.105 0.08 0.10400000000000001 pec
#plate: 0.08499999999999999 0.10700000000000001 0.10400000000000001 0.105 0.10800000000000001 0.10400000000000001 pec
#plate: 0.144 0.079 0.10400000000000001 0.16399999999999998 0.08 0.10400000000000001 pec
#plate: 0.144 0.10700000000000001 0.10400000000000001 0.16399999999999998 0.10800000000000001 0.10400000000000001 pec
#plate: 0.086 0.08 0.10400000000000001 0.104 0.081 0.10400000000000001 pec
#plate: 0.086 0.10600000000000001 0.10400000000000001 0.104 0.10700000000000001 0.10400000000000001 pec
#plate: 0.145 0.08 0.10400000000000001 0.16299999999999998 0.081 0.10400000000000001 pec
#plate: 0.145 0.10600000000000001 0.10400000000000001 0.16299999999999998 0.10700000000000001 0.10400000000000001 pec
#plate: 0.087 0.081 0.10400000000000001 0.103 0.082 0.10400000000000001 pec
#plate: 0.087 0.10500000000000001 0.10400000000000001 0.103 0.10600000000000001 0.10400000000000001 pec
#plate: 0.146 0.081 0.10400000000000001 0.16199999999999998 0.082 0.10400000000000001 pec
#plate: 0.146 0.10500000000000001 0.10400000000000001 0.16199999999999998 0.10600000000000001 0.10400000000000001 pec
#plate: 0.087 0.082 0.10400000000000001 0.103 0.083 0.10400000000000001 pec
#plate: 0.087 0.10400000000000001 0.10400000000000001 0.103 0.10500000000000001 0.10400000000000001 pec
#plate: 0.146 0.082 0.10400000000000001 0.16199999999999998 0.083 0.10400000000000001 pec
#plate: 0.146 0.10400000000000001 0.10400000000000001 0.16199999999999998 0.10500000000000001 0.10400000000000001 pec
#plate: 0.088 0.083 0.10400000000000001 0.102 0.084 0.10400000000000001 pec
#plate: 0.088 0.10300000000000001 0.10400000000000001 0.102 0.10400000000000001 0.10400000000000001 pec
#plate: 0.147 0.083 0.10400000000000001 0.16099999999999998 0.084 0.10400000000000001 pec
#plate: 0.147 0.10300000000000001 0.10400000000000001 0.16099999999999998 0.10400000000000001 0.10400000000000001 pec
#plate: 0.089 0.084 0.10400000000000001 0.10099999999999999 0.085 0.10400000000000001 pec
#plate: 0.089 0.10200000000000001 0.10400000000000001 0.10099999999999999 0.10300000000000001 0.10400000000000001 pec
#plate: 0.148 0.084 0.10400000000000001 0.15999999999999998 0.085 0.10400000000000001 pec
#plate: 0.148 0.10200000000000001 0.10400000000000001 0.15999999999999998 0.10300000000000001 0.10400000000000001 pec
#plate: 0.089 0.085 0.10400000000000001 0.10099999999999999 0.08600000000000001 0.10400000000000001 pec
#plate: 0.089 0.101 0.10400000000000001 0.10099999999999999 0.10200000000000001 0.10400000000000001 pec
#plate: 0.148 0.085 0.10400000000000001 0.15999999999999998 0.08600000000000001 0.10400000000000001 pec
#plate: 0.148 0.101 0.10400000000000001 0.15999999999999998 0.10200000000000001 0.10400000000000001 pec
#plate: 0.09 0.08600000000000001 0.10400000000000001 0.09999999999999999 0.08700000000000001 0.10400000000000001 pec
#plate: 0.09 0.1 0.10400000000000001 0.09999999999999999 0.101 0.10400000000000001 pec
#plate: 0.149 0.08600000000000001 0.10400000000000001 0.15899999999999997 0.08700000000000001 0.10400000000000001 pec
#plate: 0.149 0.1 0.10400000000000001 0.15899999999999997 0.101 0.10400000000000001 pec
#plate: 0.091 0.087 0.10400000000000001 0.09899999999999999 0.088 0.10400000000000001 pec
#plate: 0.091 0.099 0.10400000000000001 0.09899999999999999 0.1 0.10400000000000001 pec
#plate: 0.15 0.087 0.10400000000000001 0.15799999999999997 0.088 0.10400000000000001 pec
#plate: 0.15 0.099 0.10400000000000001 0.15799999999999997 0.1 0.10400000000000001 pec
#plate: 0.092 0.088 0.10400000000000001 0.09799999999999999 0.089 0.10400000000000001 pec
#plate: 0.092 0.098 0.10400000000000001 0.09799999999999999 0.099 0.10400000000000001 pec
#plate: 0.151 0.088 0.10400000000000001 0.15699999999999997 0.089 0.10400000000000001 pec
#plate: 0.151 0.098 0.10400000000000001 0.15699999999999997 0.099 0.10400000000000001 pec
#plate: 0.092 0.089 0.10400000000000001 0.09799999999999999 0.09 0.10400000000000001 pec
#plate: 0.092 0.09700000000000002 0.10400000000000001 0.09799999999999999 0.09800000000000002 0.10400000000000001 pec
#plate: 0.151 0.089 0.10400000000000001 0.15699999999999997 0.09 0.10400000000000001 pec
#plate: 0.151 0.09700000000000002 0.10400000000000001 0.15699999999999997 0.09800000000000002 0.10400000000000001 pec
#plate: 0.093 0.09 0.10400000000000001 0.097 0.091 0.10400000000000001 pec
#plate: 0.093 0.09600000000000002 0.10400000000000001 0.097 0.09700000000000002 0.10400000000000001 pec
#plate: 0.152 0.09 0.10400000000000001 0.15599999999999997 0.091 0.10400000000000001 pec
#plate: 0.152 0.09600000000000002 0.10400000000000001 0.15599999999999997 0.09700000000000002 0.10400000000000001 pec
#plate: 0.094 0.091 0.10400000000000001 0.096 0.092 0.10400000000000001 pec
#plate: 0.094 0.09500000000000001 0.10400000000000001 0.096 0.09600000000000002 0.10400000000000001 pec
#plate: 0.153 0.091 0.10400000000000001 0.15499999999999997 0.092 0.10400000000000001 pec
#plate: 0.153 0.09500000000000001 0.10400000000000001 0.15499999999999997 0.09600000000000002 0.10400000000000001 pec
#plate: 0.08399999999999999 0.10800000000000001 0.10400000000000001 0.10599999999999998 0.12300000000000001 0.10400000000000001 pec
#plate: 0.143 0.10800000000000001 0.10400000000000001 0.16499999999999998 0.12300000000000001 0.10400000000000001 pec
#edge: 0.095 0.092 0.10400000000000001 0.095 0.093 0.10400000000000001 pec
#edge: 0.095 0.094 0.10400000000000001 0.095 0.095 0.10400000000000001 pec
#edge: 0.154 0.092 0.10400000000000001 0.154 0.093 0.10400000000000001 pec
#edge: 0.154 0.094 0.10400000000000001 0.154 0.095 0.10400000000000001 pec
#plate: 0.08399999999999999 0.064 0.10400000000000001 0.10599999999999998 0.079 0.10400000000000001 pec
#plate: 0.143 0.064 0.10400000000000001 0.16499999999999998 0.079 0.10400000000000001 pec
#box: 0.039999999999999994 0.04 0.1 0.21000000000000002 0.148 0.10400000000000001 hdpe
#geometry_view: 0.03899999999999999 0.039 0.099 0.21100000000000002 0.149 0.14800000000000002 0.001 0.001 0.001 antenna_like_GSSI_1500 n
#geometry_view: 0.039999999999999994 0.04 0.1 0.21000000000000002 0.148 0.11 0.001 0.001 0.001 antenna_like_GSSI_1500_pcb f
#waveform: gaussian 1.0 1500000000.0 myGaussian
#voltage_source: y 0.154 0.093 0.10400000000000001 50 myGaussian
#rx: 0.095 0.093 0.10400000000000001

二进制
tests/numerical_oldC/antenna_GSSI_1500_fs/antenna_GSSI_1500_fs_vs_antenna_GSSI_1500_fs_proc_oldstyle_hdf5.pdf 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/antenna_GSSI_1500_fs/antenna_GSSI_1500_fs_vs_antenna_GSSI_1500_fs_proc_oldstyle_hdf5_diffs.pdf 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/antenna_GSSI_1500_fs/antenna_like_GSSI_1500.vti 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/antenna_GSSI_1500_fs/antenna_like_GSSI_1500_pcb.vtp 普通文件
查看文件

二进制文件未显示。

84
tests/numerical_oldC/antenna_MALA_1200_fs/C_code/antenna_MALA_1200_fs_proc_oldstyle.in 普通文件
查看文件

@@ -0,0 +1,84 @@
#title: MALA 1.2GHz 'like' antenna in free-space
#domain: 0.264 0.189 0.220
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 6e-9
#nips_number: 40
#medium: 6.49 0 0 0.252 1.0 0.0 absorber
#medium: 3.0 0 0 0.0 1.0 0.0 pcb
#medium: 2.35 0 0 0.0 1.0 0.0 hdpe
#medium: 2.26 0 0 0.0 1.0 0.0 polypropylene
#medium: 3.0 0 0 4.255 1.0 0.0 txreslower
#medium: 3.0 0 0 3.191 1.0 0.0 txresupper
#medium: 3.0 0 0 13.333 1.0 0.0 rxreslower
#medium: 3.0 0 0 10.000 1.0 0.0 rxresupper
#box: 0.04000000000000001 0.0405 0.10600000000000001 0.224 0.1495 0.14600000000000002 pec
#box: 0.06000000000000001 0.0425 0.10600000000000001 0.14 0.1475 0.10800000000000001 free_space
#box: 0.14 0.0425 0.10600000000000001 0.222 0.1475 0.10800000000000001 free_space
#box: 0.06000000000000001 0.0425 0.10600000000000001 0.14 0.1475 0.14400000000000002 absorber
#box: 0.14 0.0425 0.10600000000000001 0.222 0.1475 0.14400000000000002 absorber
#cylinder_new: 0.095 0.1415 0.10600000000000001 0.095 0.1415 0.14400000000000002 0.008 pec
#cylinder_new: 0.095 0.0485 0.10600000000000001 0.095 0.0485 0.14400000000000002 0.008 pec
#cylinder_new: 0.187 0.1415 0.10600000000000001 0.187 0.1415 0.14400000000000002 0.008 pec
#cylinder_new: 0.187 0.0485 0.10600000000000001 0.187 0.0485 0.14400000000000002 0.008 pec
#cylinder_new: 0.095 0.1415 0.10600000000000001 0.095 0.1415 0.14400000000000002 0.007 free_space
#cylinder_new: 0.095 0.0485 0.10600000000000001 0.095 0.0485 0.14400000000000002 0.007 free_space
#cylinder_new: 0.187 0.1415 0.10600000000000001 0.187 0.1415 0.14400000000000002 0.007 free_space
#cylinder_new: 0.187 0.0485 0.10600000000000001 0.187 0.0485 0.14400000000000002 0.007 free_space
#box: 0.094 0.1335 0.10600000000000001 0.096 0.13549999999999998 0.14400000000000002 free_space
#box: 0.094 0.0545 0.10600000000000001 0.096 0.0565 0.14400000000000002 free_space
#box: 0.186 0.1335 0.10600000000000001 0.188 0.13549999999999998 0.14400000000000002 free_space
#box: 0.186 0.0545 0.10600000000000001 0.188 0.0565 0.14400000000000002 free_space
#box: 0.06000000000000001 0.058499999999999996 0.10600000000000001 0.222 0.1315 0.10800000000000001 pcb
#box: 0.07200000000000001 0.0625 0.10600000000000001 0.134 0.1245 0.14300000000000002 pec
#box: 0.07300000000000001 0.0635 0.10600000000000001 0.133 0.1235 0.14300000000000002 absorber
#box: 0.14800000000000002 0.0625 0.10600000000000001 0.21000000000000002 0.1245 0.14300000000000002 pec
#box: 0.14900000000000002 0.0635 0.10600000000000001 0.20900000000000002 0.1235 0.14300000000000002 free_space
#box: 0.134 0.1185 0.14100000000000001 0.14800000000000002 0.1245 0.14300000000000002 pec
#box: 0.134 0.0625 0.14100000000000001 0.14800000000000002 0.0685 0.14300000000000002 pec
#box: 0.07300000000000001 0.0635 0.10600000000000001 0.133 0.1235 0.10800000000000001 pcb
#box: 0.14900000000000002 0.0635 0.10600000000000001 0.20900000000000002 0.1235 0.10800000000000001 pcb
#triangle: 0.10300000000000001 0.0915 0.10600000000000001 0.07700000000000001 0.0665 0.10600000000000001 0.129 0.0665 0.10600000000000001 pec
#edge: 0.10300000000000001 0.0915 0.10600000000000001 0.10300000000000001 0.0925 0.10600000000000001 pec
#triangle: 0.10300000000000001 0.0935 0.10600000000000001 0.07700000000000001 0.1185 0.10600000000000001 0.129 0.1185 0.10600000000000001 pec
#edge: 0.10300000000000001 0.0935 0.10600000000000001 0.10300000000000001 0.0945 0.10600000000000001 pec
#triangle: 0.179 0.0915 0.10600000000000001 0.153 0.0665 0.10600000000000001 0.205 0.0665 0.10600000000000001 pec
#edge: 0.179 0.0915 0.10600000000000001 0.179 0.0925 0.10600000000000001 pec
#triangle: 0.179 0.0935 0.10600000000000001 0.153 0.1185 0.10600000000000001 0.205 0.1185 0.10600000000000001 pec
#edge: 0.179 0.0935 0.10600000000000001 0.179 0.0945 0.10600000000000001 pec
#edge: 0.08000000000000002 0.0635 0.10600000000000001 0.08000000000000002 0.0665 0.10600000000000001 txreslower
#edge: 0.08100000000000002 0.0635 0.10600000000000001 0.08100000000000002 0.0665 0.10600000000000001 txreslower
#edge: 0.10300000000000001 0.0635 0.10600000000000001 0.10300000000000001 0.0665 0.10600000000000001 txreslower
#edge: 0.10400000000000001 0.0635 0.10600000000000001 0.10400000000000001 0.0665 0.10600000000000001 txreslower
#edge: 0.125 0.0635 0.10600000000000001 0.125 0.0665 0.10600000000000001 txreslower
#edge: 0.126 0.0635 0.10600000000000001 0.126 0.0665 0.10600000000000001 txreslower
#edge: 0.08000000000000002 0.1195 0.10600000000000001 0.08000000000000002 0.1235 0.10600000000000001 txresupper
#edge: 0.08100000000000002 0.1195 0.10600000000000001 0.08100000000000002 0.1235 0.10600000000000001 txresupper
#edge: 0.10300000000000001 0.1195 0.10600000000000001 0.10300000000000001 0.1235 0.10600000000000001 txresupper
#edge: 0.10400000000000001 0.1195 0.10600000000000001 0.10400000000000001 0.1235 0.10600000000000001 txresupper
#edge: 0.125 0.1195 0.10600000000000001 0.125 0.1235 0.10600000000000001 txresupper
#edge: 0.126 0.1195 0.10600000000000001 0.126 0.1235 0.10600000000000001 txresupper
#edge: 0.15600000000000003 0.0635 0.10600000000000001 0.15600000000000003 0.0665 0.10600000000000001 rxreslower
#edge: 0.15700000000000003 0.0635 0.10600000000000001 0.15700000000000003 0.0665 0.10600000000000001 rxreslower
#edge: 0.179 0.0635 0.10600000000000001 0.179 0.0665 0.10600000000000001 rxreslower
#edge: 0.18 0.0635 0.10600000000000001 0.18 0.0665 0.10600000000000001 rxreslower
#edge: 0.201 0.0635 0.10600000000000001 0.201 0.0665 0.10600000000000001 rxreslower
#edge: 0.202 0.0635 0.10600000000000001 0.202 0.0665 0.10600000000000001 rxreslower
#edge: 0.15600000000000003 0.1195 0.10600000000000001 0.15600000000000003 0.1235 0.10600000000000001 rxresupper
#edge: 0.15700000000000003 0.1195 0.10600000000000001 0.15700000000000003 0.1235 0.10600000000000001 rxresupper
#edge: 0.179 0.1195 0.10600000000000001 0.179 0.1235 0.10600000000000001 rxresupper
#edge: 0.18 0.1195 0.10600000000000001 0.18 0.1235 0.10600000000000001 rxresupper
#edge: 0.201 0.1195 0.10600000000000001 0.201 0.1235 0.10600000000000001 rxresupper
#edge: 0.202 0.1195 0.10600000000000001 0.202 0.1235 0.10600000000000001 rxresupper
#box: 0.04000000000000001 0.0405 0.1 0.224 0.1495 0.10300000000000001 polypropylene
#box: 0.04000000000000001 0.0405 0.10300000000000001 0.224 0.1495 0.10600000000000001 hdpe
#geometry_vtk: 0.03900000000000001 0.0395 0.099 0.225 0.1505 0.14700000000000002 0.001 0.001 0.001 antenna_like_MALA_1200 n
#geometry_vtk: 0.04000000000000001 0.0405 0.1 0.224 0.1495 0.11 0.001 0.001 0.001 antenna_like_MALA_1200_pcb f
#messages: y
#num_of_procs: 8
#abc_type: pml
#pml_layers: 10
#voltage_source: 1.0 978000000.0 gaussian 1000 myGaussian
#analysis: 1 antenna_MALA_1200_fs_proc_oldstyle.out b
#rx: 0.179 0.0925 0.10600000000000001
#tx: y 0.10300000000000001 0.0925 0.10600000000000001 myGaussian 0 6e-09
#end_analysis:

二进制
tests/numerical_oldC/antenna_MALA_1200_fs/C_code/antenna_MALA_1200_fs_proc_oldstyle.out 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/antenna_MALA_1200_fs/C_code/antenna_MALA_1200_fs_proc_oldstyle_hdf5.out 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/antenna_MALA_1200_fs/C_code/antenna_like_MALA_1200.vti 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/antenna_MALA_1200_fs/C_code/antenna_like_MALA_1200_pcb.vtp 普通文件
查看文件

二进制文件未显示。

10
tests/numerical_oldC/antenna_MALA_1200_fs/antenna_MALA_1200_fs.in 可执行文件
查看文件

@@ -0,0 +1,10 @@
#title: MALA 1.2GHz 'like' antenna in free-space
#domain: 0.264 0.189 0.220
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 6e-9
#python:
from user_libs.antennas import antenna_like_MALA_1200
antenna_like_MALA_1200(0.132, 0.095, 0.100)
#end_python:

二进制
tests/numerical_oldC/antenna_MALA_1200_fs/antenna_MALA_1200_fs.out 普通文件
查看文件

二进制文件未显示。

77
tests/numerical_oldC/antenna_MALA_1200_fs/antenna_MALA_1200_fs_proc.in 普通文件
查看文件

@@ -0,0 +1,77 @@
#title: MALA 1.2GHz 'like' antenna in free-space
#domain: 0.264 0.189 0.220
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 6e-9
#material: 6.49 0.252 1.0 0.0 absorber
#material: 3.0 0.0 1.0 0.0 pcb
#material: 2.35 0.0 1.0 0.0 hdpe
#material: 2.26 0.0 1.0 0.0 polypropylene
#material: 3.0 4.255 1.0 0.0 txreslower
#material: 3.0 3.191 1.0 0.0 txresupper
#material: 3.0 13.333 1.0 0.0 rxreslower
#material: 3.0 10.000 1.0 0.0 rxresupper
#box: 0.04000000000000001 0.0405 0.10600000000000001 0.224 0.1495 0.14600000000000002 pec
#box: 0.06000000000000001 0.0425 0.10600000000000001 0.14 0.1475 0.10800000000000001 free_space
#box: 0.14 0.0425 0.10600000000000001 0.222 0.1475 0.10800000000000001 free_space
#box: 0.06000000000000001 0.0425 0.10600000000000001 0.14 0.1475 0.14400000000000002 absorber
#box: 0.14 0.0425 0.10600000000000001 0.222 0.1475 0.14400000000000002 absorber
#cylinder: 0.095 0.1415 0.10600000000000001 0.095 0.1415 0.14400000000000002 0.008 pec
#cylinder: 0.095 0.0485 0.10600000000000001 0.095 0.0485 0.14400000000000002 0.008 pec
#cylinder: 0.187 0.1415 0.10600000000000001 0.187 0.1415 0.14400000000000002 0.008 pec
#cylinder: 0.187 0.0485 0.10600000000000001 0.187 0.0485 0.14400000000000002 0.008 pec
#cylinder: 0.095 0.1415 0.10600000000000001 0.095 0.1415 0.14400000000000002 0.007 free_space
#cylinder: 0.095 0.0485 0.10600000000000001 0.095 0.0485 0.14400000000000002 0.007 free_space
#cylinder: 0.187 0.1415 0.10600000000000001 0.187 0.1415 0.14400000000000002 0.007 free_space
#cylinder: 0.187 0.0485 0.10600000000000001 0.187 0.0485 0.14400000000000002 0.007 free_space
#box: 0.094 0.1335 0.10600000000000001 0.096 0.13549999999999998 0.14400000000000002 free_space
#box: 0.094 0.0545 0.10600000000000001 0.096 0.0565 0.14400000000000002 free_space
#box: 0.186 0.1335 0.10600000000000001 0.188 0.13549999999999998 0.14400000000000002 free_space
#box: 0.186 0.0545 0.10600000000000001 0.188 0.0565 0.14400000000000002 free_space
#box: 0.06000000000000001 0.058499999999999996 0.10600000000000001 0.222 0.1315 0.10800000000000001 pcb
#box: 0.07200000000000001 0.0625 0.10600000000000001 0.134 0.1245 0.14300000000000002 pec
#box: 0.07300000000000001 0.0635 0.10600000000000001 0.133 0.1235 0.14300000000000002 absorber
#box: 0.14800000000000002 0.0625 0.10600000000000001 0.21000000000000002 0.1245 0.14300000000000002 pec
#box: 0.14900000000000002 0.0635 0.10600000000000001 0.20900000000000002 0.1235 0.14300000000000002 free_space
#box: 0.134 0.1185 0.14100000000000001 0.14800000000000002 0.1245 0.14300000000000002 pec
#box: 0.134 0.0625 0.14100000000000001 0.14800000000000002 0.0685 0.14300000000000002 pec
#box: 0.07300000000000001 0.0635 0.10600000000000001 0.133 0.1235 0.10800000000000001 pcb
#box: 0.14900000000000002 0.0635 0.10600000000000001 0.20900000000000002 0.1235 0.10800000000000001 pcb
#triangle: 0.10300000000000001 0.0915 0.10600000000000001 0.07700000000000001 0.0665 0.10600000000000001 0.129 0.0665 0.10600000000000001 0 pec
#edge: 0.10300000000000001 0.0915 0.10600000000000001 0.10300000000000001 0.0925 0.10600000000000001 pec
#triangle: 0.10300000000000001 0.0945 0.10600000000000001 0.07700000000000001 0.1195 0.10600000000000001 0.129 0.1195 0.10600000000000001 0 pec
#edge: 0.10300000000000001 0.0935 0.10600000000000001 0.10300000000000001 0.0945 0.10600000000000001 pec
#triangle: 0.179 0.0915 0.10600000000000001 0.153 0.0665 0.10600000000000001 0.205 0.0665 0.10600000000000001 0 pec
#edge: 0.179 0.0915 0.10600000000000001 0.179 0.0925 0.10600000000000001 pec
#triangle: 0.179 0.0945 0.10600000000000001 0.153 0.1195 0.10600000000000001 0.205 0.1195 0.10600000000000001 0 pec
#edge: 0.179 0.0935 0.10600000000000001 0.179 0.0945 0.10600000000000001 pec
#edge: 0.08000000000000002 0.0635 0.10600000000000001 0.08000000000000002 0.0665 0.10600000000000001 txreslower
#edge: 0.08100000000000002 0.0635 0.10600000000000001 0.08100000000000002 0.0665 0.10600000000000001 txreslower
#edge: 0.10300000000000001 0.0635 0.10600000000000001 0.10300000000000001 0.0665 0.10600000000000001 txreslower
#edge: 0.10400000000000001 0.0635 0.10600000000000001 0.10400000000000001 0.0665 0.10600000000000001 txreslower
#edge: 0.125 0.0635 0.10600000000000001 0.125 0.0665 0.10600000000000001 txreslower
#edge: 0.126 0.0635 0.10600000000000001 0.126 0.0665 0.10600000000000001 txreslower
#edge: 0.08000000000000002 0.1195 0.10600000000000001 0.08000000000000002 0.1235 0.10600000000000001 txresupper
#edge: 0.08100000000000002 0.1195 0.10600000000000001 0.08100000000000002 0.1235 0.10600000000000001 txresupper
#edge: 0.10300000000000001 0.1195 0.10600000000000001 0.10300000000000001 0.1235 0.10600000000000001 txresupper
#edge: 0.10400000000000001 0.1195 0.10600000000000001 0.10400000000000001 0.1235 0.10600000000000001 txresupper
#edge: 0.125 0.1195 0.10600000000000001 0.125 0.1235 0.10600000000000001 txresupper
#edge: 0.126 0.1195 0.10600000000000001 0.126 0.1235 0.10600000000000001 txresupper
#edge: 0.15600000000000003 0.0635 0.10600000000000001 0.15600000000000003 0.0665 0.10600000000000001 rxreslower
#edge: 0.15700000000000003 0.0635 0.10600000000000001 0.15700000000000003 0.0665 0.10600000000000001 rxreslower
#edge: 0.179 0.0635 0.10600000000000001 0.179 0.0665 0.10600000000000001 rxreslower
#edge: 0.18 0.0635 0.10600000000000001 0.18 0.0665 0.10600000000000001 rxreslower
#edge: 0.201 0.0635 0.10600000000000001 0.201 0.0665 0.10600000000000001 rxreslower
#edge: 0.202 0.0635 0.10600000000000001 0.202 0.0665 0.10600000000000001 rxreslower
#edge: 0.15600000000000003 0.1195 0.10600000000000001 0.15600000000000003 0.1235 0.10600000000000001 rxresupper
#edge: 0.15700000000000003 0.1195 0.10600000000000001 0.15700000000000003 0.1235 0.10600000000000001 rxresupper
#edge: 0.179 0.1195 0.10600000000000001 0.179 0.1235 0.10600000000000001 rxresupper
#edge: 0.18 0.1195 0.10600000000000001 0.18 0.1235 0.10600000000000001 rxresupper
#edge: 0.201 0.1195 0.10600000000000001 0.201 0.1235 0.10600000000000001 rxresupper
#edge: 0.202 0.1195 0.10600000000000001 0.202 0.1235 0.10600000000000001 rxresupper
#box: 0.04000000000000001 0.0405 0.1 0.224 0.1495 0.10300000000000001 polypropylene
#box: 0.04000000000000001 0.0405 0.10300000000000001 0.224 0.1495 0.10600000000000001 hdpe
#geometry_view: 0.03900000000000001 0.0395 0.099 0.225 0.1505 0.14700000000000002 0.001 0.001 0.001 antenna_like_MALA_1200 n
#geometry_view: 0.04000000000000001 0.0405 0.1 0.224 0.1495 0.11 0.001 0.001 0.001 antenna_like_MALA_1200_pcb f
#waveform: gaussian 1.0 978000000.0 myGaussian
#voltage_source: y 0.10300000000000001 0.0925 0.10600000000000001 1000 myGaussian
#rx: 0.179 0.0925 0.10600000000000001

二进制
tests/numerical_oldC/antenna_MALA_1200_fs/antenna_MALA_1200_fs_vs_antenna_MALA_1200_fs_proc_oldstyle_hdf5.pdf 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/antenna_MALA_1200_fs/antenna_MALA_1200_fs_vs_antenna_MALA_1200_fs_proc_oldstyle_hdf5_diffs.pdf 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/antenna_MALA_1200_fs/antenna_like_MALA_1200.vti 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/antenna_MALA_1200_fs/antenna_like_MALA_1200_pcb.vtp 普通文件
查看文件

二进制文件未显示。

22
tests/numerical_oldC/hertzian_dipole_dispersive/C_code/hertzian_dipole_dispersive_oldstyle.in 普通文件
查看文件

@@ -0,0 +1,22 @@
#title: Hertzian dipole in free-space
#domain: 0.100 0.100 0.100
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 3e-9
#medium: 80.10000000000001 4.9 9.231e-12 0 1 0 myWater
#box: 0 0 0 0.100 0.100 0.100 myWater
python:
for time in range(1,50):
print('#snapshot: 0.001 0.001 0.001 0.099 0.099 0.099 0.001 0.001 0.001 {} {}'.format(0.1e-9 * time, 'snap' + str(time)))
end_python:
#messages: y
#num_of_procs: 8
#abc_type: pml
#pml_layers: 10
#hertzian_dipole: 1.0 1e9 ricker myWave
#analysis: 1 hertzian_dipole_dispersive_oldstyle.out b
#rx: 0.050 0.070 0.050
#tx: y 0.050 0.050 0.050 myWave 0 3e-09
#end_analysis:

二进制
tests/numerical_oldC/hertzian_dipole_dispersive/C_code/hertzian_dipole_dispersive_oldstyle.out 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/hertzian_dipole_dispersive/C_code/hertzian_dipole_dispersive_oldstyle_hdf5.out 普通文件
查看文件

二进制文件未显示。

17
tests/numerical_oldC/hertzian_dipole_dispersive/hertzian_dipole_dispersive.in 可执行文件
查看文件

@@ -0,0 +1,17 @@
#title: Hertzian dipole in free-space
#domain: 0.100 0.100 0.100
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 3e-9
#waveform: gaussiandot 1.0 1e9 myWave
#hertzian_dipole: y 0.050 0.050 0.050 myWave
#rx: 0.050 0.070 0.050
#material: 4.9 0 1 0 myWater
#add_dispersion_debye: 1 75.2 9.231e-12 myWater
#box: 0 0 0 0.100 0.100 0.100 myWater
python:
for time in range(1,50):
print('#snapshot: 0.001 0.001 0.001 0.099 0.099 0.099 0.001 0.001 0.001 {} {}'.format(0.1e-9 * time, 'snap' + str(time)))
end_python:

二进制
tests/numerical_oldC/hertzian_dipole_dispersive/hertzian_dipole_dispersive.out 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/hertzian_dipole_dispersive/hertzian_dipole_dispersive_vs_hertzian_dipole_dispersive_oldstyle_hdf5.pdf 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/hertzian_dipole_dispersive/hertzian_dipole_dispersive_vs_hertzian_dipole_dispersive_oldstyle_hdf5_diffs.pdf 普通文件
查看文件

二进制文件未显示。

19
tests/numerical_oldC/hertzian_dipole_fs/C_code/hertzian_dipole_fs_oldstyle.in 普通文件
查看文件

@@ -0,0 +1,19 @@
#title: Hertzian dipole in free-space
#domain: 0.100 0.100 0.100
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 3e-9
python:
for time in range(1,50):
print('#snapshot: 0.001 0.001 0.001 0.099 0.099 0.099 0.001 0.001 0.001 {} {}'.format(0.1e-9 * time, 'snap' + str(time)))
end_python:
#messages: y
#num_of_procs: 8
#abc_type: pml
#pml_layers: 10
#hertzian_dipole: 1.0 1e9 ricker myWave
#analysis: 1 hertzian_dipole_fs_oldstyle.out b
#rx: 0.050 0.070 0.050
#tx: y 0.050 0.050 0.050 myWave 0 3e-09
#end_analysis:

二进制
tests/numerical_oldC/hertzian_dipole_fs/C_code/hertzian_dipole_fs_oldstyle.out 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/hertzian_dipole_fs/C_code/hertzian_dipole_fs_oldstyle_hdf5.out 普通文件
查看文件

二进制文件未显示。

13
tests/numerical_oldC/hertzian_dipole_fs/hertzian_dipole_fs.in 可执行文件
查看文件

@@ -0,0 +1,13 @@
#title: Hertzian dipole in free-space
#domain: 0.100 0.100 0.100
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 3e-9
#waveform: gaussiandot 1.0 1e9 myWave
#hertzian_dipole: y 0.050 0.050 0.050 myWave
#rx: 0.050 0.070 0.050
python:
for time in range(1,50):
print('#snapshot: 0.001 0.001 0.001 0.099 0.099 0.099 0.001 0.001 0.001 {} {}'.format(0.1e-9 * time, 'snap' + str(time)))
end_python:

二进制
tests/numerical_oldC/hertzian_dipole_fs/hertzian_dipole_fs.out 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/hertzian_dipole_fs/hertzian_dipole_fs_vs_hertzian_dipole_fs_oldstyle_hdf5.pdf 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/hertzian_dipole_fs/hertzian_dipole_fs_vs_hertzian_dipole_fs_oldstyle_hdf5_diffs.pdf 普通文件
查看文件

二进制文件未显示。

22
tests/numerical_oldC/hertzian_dipole_hs/C_code/hertzian_dipole_hs_oldstyle.in 普通文件
查看文件

@@ -0,0 +1,22 @@
#title: Hertzian dipole over a half-space
#domain: 0.100 0.100 0.100
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 3e-9
#medium: 8 0 0 0 1 0 half_space
#box: 0 0 0 0.100 0.100 0.050 half_space
python:
for time in range(1,50):
print('#snapshot: 0.001 0.001 0.001 0.099 0.099 0.099 0.001 0.001 0.001 {} {}'.format(0.1e-9 * time, 'snap' + str(time)))
end_python:
#messages: y
#num_of_procs: 8
#abc_type: pml
#pml_layers: 10
#hertzian_dipole: 1.0 1e9 ricker myWave
#analysis: 1 hertzian_dipole_hs_oldstyle.out b
#rx: 0.050 0.070 0.050
#tx: y 0.050 0.050 0.050 myWave 0 3e-09
#end_analysis:

二进制
tests/numerical_oldC/hertzian_dipole_hs/C_code/hertzian_dipole_hs_oldstyle.out 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/hertzian_dipole_hs/C_code/hertzian_dipole_hs_oldstyle_hdf5.out 普通文件
查看文件

二进制文件未显示。

16
tests/numerical_oldC/hertzian_dipole_hs/hertzian_dipole_hs.in 可执行文件
查看文件

@@ -0,0 +1,16 @@
#title: Hertzian dipole over a half-space
#domain: 0.100 0.100 0.100
#dx_dy_dz: 0.001 0.001 0.001
#time_window: 3e-9
#waveform: gaussiandot 1.0 1e9 myWave
#hertzian_dipole: y 0.050 0.050 0.050 myWave
#rx: 0.050 0.070 0.050
#material: 8 0 1 0 half_space
#box: 0 0 0 0.100 0.100 0.050 half_space
python:
for time in range(1,50):
print('#snapshot: 0.001 0.001 0.001 0.099 0.099 0.099 0.001 0.001 0.001 {} {}'.format(0.1e-9 * time, 'snap' + str(time)))
end_python:

二进制
tests/numerical_oldC/hertzian_dipole_hs/hertzian_dipole_hs.out 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/hertzian_dipole_hs/hertzian_dipole_hs_vs_hertzian_dipole_hs_oldstyle_hdf5.pdf 普通文件
查看文件

二进制文件未显示。

二进制
tests/numerical_oldC/hertzian_dipole_hs/hertzian_dipole_hs_vs_hertzian_dipole_hs_oldstyle_hdf5_diffs.pdf 普通文件
查看文件

二进制文件未显示。

某些文件未显示，因为此 diff 中更改的文件太多 显示更多