Fitsutil For Mac
Hello,I need to install the FITSUTIL package under mac os 10.4.7. I downloaded the filefitsutil-bin.macosx.tar.gz from iraf.noao.edu/iraf/ftp/iraf/extern-v212but when I unpack it, I only find:fgread.e fgwrite.e libmef.a xfisutil.eThe Gemini GNIRS package expects nhedit to be part of FITSUTIL. I downloaded the full source, but have been having some troubles compiling it. (the mkpkg doesn't seem to detect the mac architecture and produces generic bin files - in the fitsutil/pkg directory there then exists a nhedit.x but iraf won't execute it).Can all the mac executables be included on-line?Thanks,Dave Andersen-. David.Andersen@nrc-cnrc.gc.ca NRC Herzberg Institute of Astrophysics 5071 W. Saanich Rd Victoria, BC V9E 2E7 CANADAphone: (250) 363-8708 fax: (250) 363-0045.
Thanks for the help.I'm still having problems getting nhedit to work, though. I unpacked the fitsutil.tar and fitsutil-bin.macosx.tar into my iraf/extern/fitsutil directory.From the command line, I executed xfitsutil.e,and it lists 9 tasks: fxheader fxextract fxconvert fxsplit fxplf fxdummyh fxcopy fxinsert fxdeletenhedit is not among them. Within iraf, nhedit appears when I type cl fitsutiland I can use epar, lpar and help, but when I try to execute nhedit, I get:ERROR: Iraf Main: Unknown task name (nhedit)All 11 other tasks in fitsutil (the ones above + fgread & fgwrite) appear to work.Suggestions? I grabbed the mac executables from the noao iraf site.Thanks,Dave Andersen. Hi Dave,Please double-check that you unpacked the right file, I just verified it is in there, i.e.code:1:f4bc0b409f iraf@tiamat.tuc.noao.edu% ftp ftp://iraf.noao.edu/iraf/extern/fitsutil-bin.macosx.tar.gz Connected to tucana.tuc.noao.edu. 220 Welcome to NOAO-Tucson IRAF/NVO FTP service. 331 Please specify the password.
230 Login successful. Remote system type is UNIX. Using binary mode to transfer files.
200 Switching to Binary mode. 250 Directory successfully changed. 250 Directory successfully changed. Local: fitsutil-bin.macosx.tar.gz remote: fitsutil-bin.macosx.tar.gz 500 Unknown command. 227 Entering Passive Mode (140,252,1,86,205,237) 150 Opening BINARY mode data connection for fitsutil-bin.macosx.tar.gz (803097 bytes). 100%. 784 KB 89.19 MB/s 00:00 226 File send OK.
803097 bytes received in 00:00 (83.51 MB/s) 221 Goodbye. Iraf@tiamat.tuc.noao.edu% tar zxf fitsutil-bin.macosx.tar.gz iraf@tiamat.tuc.noao.edu% bin.macosx/xfitsutil.e ? Fxheader fxextract fxconvert fxsplit fxplf fxdummyh fxcopy fxinsert fxdelete nhedit /code:1:f4bc0b409f-Mike.
Installing Conda - The choice is yours AstroConda is a third-party addon channel designed for use with the Conda package management system, so therefore in order to install software provided by our channel, you must first install a basic Conda environment on your system. This can be achieved in multiple ways (described below). Our channel’s software is compatible with both of the 2 and 3 variants of Continuum Analytics, Inc.’s Miniconda and Anaconda distributions (i.e. Miniconda2, Miniconda3, Anaconda2, and Anaconda3). Miniconda2 and Miniconda3 provide a bare-minimum Conda root environment with Python 2.7 or Python 3.x, respectively. ( Recommended) Anaconda2 and Anaconda3 are Continuum Analytics Inc.’s flagship products, and provide a full-featured Conda root environment as well as hundreds of useful tools, libraries, and utilities by default.
Both of Continuum’s official distributions support a variety of operating systems and architectures, however the AstroConda channel specifically provides packages for Linux and Apple OS X running on x8664 Intel/AMD processors. It is important to note Microsoft Windows is not supported at this time. Now head over to one of the following sites and download a copy of the installer of your choice:. Download.
Download (OS X users should choose the command-line installer) The installation method used for Miniconda and Anaconda are identical, however keep in mind the scripts are written in BASH (not SH), so therefore you must execute the installer using bash. Verifying your Conda Environment Execute the command: which conda If the path to conda (i.e. /home/username/miniconda3/bin/conda), is not returned, continue reading, otherwise skip ahead to. If you answered Y or Yes when prompted during installation to place Miniconda or Anaconda in your PATH, and which conda still does not return a path leading back to conda, go ahead and execute source /.bashprofile, then re-execute which conda.
If the path to conda appears, skip ahead to. However, if you answered N or No when prompted, you will need to fix your PATH manually.
If you installed Miniconda or Anaconda using the defaults selected by the installer, but are not sure what the directory is named, use the following command to find out. Legacy Software Stack (with IRAF) The maintainers of the AstroConda channel have limited resources to support IRAF, but users that require the ability to run IRAF and PyRAF tasks may want to install it via AstroConda. For help with any issues that come up during installation or use, please visit the. Linux users please be sure to visit for a quick guide to installing IRAF’s 32-bit dependencies. The package management system, Conda, is now configured to pull from our repository, so you may go ahead and install the iraf-all package, as well as pyraf-all, and finally stsci.
The stsci package installs nearly all of the software provided by STScI in one shot, however if you prefer a slimmed down IRAF/PyRAF experience, feel free to omit it. Due to Python 3.x incompatibilities present in several tasks, it is recommended to install IRAF alongside Python 2.7. The following example generates a new conda environment named “iraf27”, however this naming convention is merely a suggestion, so please feel free to apply a name that works best for you. $ conda update -n astroconda stsci This is best used by individuals that favor software stability over receiving the “bleeding edge”. Remember, updating the stsci package only effects packages part of the official release of our software. Packages provided by the AstroConda channel, but are not controlled by the stsci package will not receive updates.
This is true for other packages as well (e.g. Stsci-hst, stsci-data-analysis, etc). To clarify what this does, if the stsci package (used to create your environment) has not been updated by STScI to accommodate recently added packages, or newer versions of those packages, nothing will be updated in your environment on behalf of stsci. In general, to receive interim bug fix releases please consider updating all packages, or individual packages of interest.
$ source deactivate $ conda update -all Keeping AstroConda packages up to date is important, but not nearly as important as keeping your ‘root’ (i.e. The base installation) updated as well. Conda is like any other software project and it requires periodic refreshing to stay current with the latest changes. Failing to do this can, over time, cause side-effects such as, the inability to upgrade, install, remove, or search for packages. Updating extremely old releases of Conda to the latest version have been known to break the ‘root’ environment due to a variety of API changes in the code.
There is not much STScI can do about this as Conda itself is not our product, however if this happens to you, reinstalling the latest release of Miniconda or Anaconda, then regenerating your AstroConda software environment is the fastest way to resolve the problem. Refer to the for more details. Footnotes (STScI-Specific) “Updating All Packages” now assumes the role of “SSBX” in the AstroConda distribution model. Additional Software Considerations While our channel provides a suite of scientific software packages that are known to work well together and are supported by engineers from STScI, by default, Conda already has access to a hundreds of packages provided directly by Continuum Analytics, Inc. The AstroConda channel itself relies heavily on Continuum for its own dependencies, so you may find it beneficial to explore what is available to you. Conda’s full documentation set covers topics ranging from installation to maintaining environments and is available from its creators and maintainers:. Installing additional software into your AstroConda environment is as simple as.
Note. A working installation of Miniconda or Anaconda is required. Python 2.x.x is not supported (unless noted otherwise).
32-bit operating systems are not supported. Pipeline releases differ from the standard software stack and serve a different purpose. The release files described below are immutable snapshots of STScI operational software, and can be used to replicate the environment used by STScI to perform mission-specific data processing.
Be aware that upgrading packages with conda update pkg or conda update -all is not recommended as it will likely introduce unwanted bugs and/or break the environment all together. If you have any questions, comments, or concerns related to pipeline releases please feel free to contact. Problematic Conda Versions These versions of the conda package and environment management tool itself are known to cause problems when installing Astroconda packages, including pipeline environments. They are to be avoided if at all possible. Conda -version will display the version you have installed. Avoid use of Conda Version 4.1.6 If you have an indicated version of conda installed you may want to upgrade to a newer version with conda update conda Once completed, check that the newly installed version is not indicated above as a problematic version. If it is indicated, you may have to downgrade to a previous version of conda in order to obtain one that has not been identified problematic.
Conda search conda will display a list of all versions of conda available. Select a version from the search list that does not appear in the table above and run conda install conda=. If you spot a compatibility problem not listed here please let us know by sending an email to helpatstsci.edu. 2018-01-24 If you have installed or updated stsci, stsci-hst, or stwcs into a Python 2.7 environment, be aware, the release of stwcs (v1.4.0) is not compatible with Python 2.7.
Stwcs v1.4.0 is known to negatively impact the following packages:. drizzlepac. stsci.skypac For anyone that has already installed stwcs (v1.4.0), the latest release of stsci-hst (v3.0.1) will automatically downgrade stwcs to v1.3.2. This downgrade behavior will not be observed in environments where the installed version of stwcs is less than v1.4.0.
As of 2018-02-01, the Python 2.7 release of stwcs v1.4.0 was removed from the AstroConda channel. 2017-05-24 The method used to install IRAF via AstroConda has changed!
Before today, AstroConda’s iraf package provided a full IRAF installation in a single tarball. Not only did this take a long time to install, it has proven to be problematic, because updating even one line of code required us to repackage 700MBs of data. As of now, IRAF has been split into several smaller packages ( iraf.pkg) and controlled via a single meta-package: iraf-all. The new pyraf-all meta-package installs pyraf along with packages identified to require pyraf and iraf. The installation section, has been updated to reflect the changes detailed below. To install a new IRAF environment. 2017-05-02 A collection of errant release candidate packages were published to the AstroConda public channel on Friday, Apr 28, 2017 around 3:45pm and remained available for download until 10:30am on Tuesday, May 2, 2017.
If you updated/upgraded any of the following packages during that window, you may have retrieved and installed software which is unsuitable for use due to untested behavior. The affected packages: Errant package = calcos-3.2.1 calcos=3.1.8 crds-7.1.1 crds=7.1.0 drizzlepac-2.1.14 drizzlepac=2.1.13 hstcal-1.2.0rc1 hstcal=1.1.1 stsci.tools-3.4.9 stsci.tools=3.4.7 stwcs-1.3.2rc1 stwcs=1.2.5 wfc3tools-1.3.5rc1 wfc3tools=1.3.4 If any of these errant packages appear in a conda list of your environment, please revert to the last known-good release version by issuing a conda install = for each package. We apologize for any inconvenience introduced by this unintended sofware release. What is the difference between Conda, Miniconda, Anaconda, and AstroConda?. Conda is a user-land environment and package management utility maintained by Continuum Analytics, Inc.
Miniconda is distributed by Continuum Analytics, Inc. As a standalone installer, and provides a minimal conda-based environment (i.e. Conda and python). Anaconda is distributed by Continuum Analytics, Inc.
As a standalone installer, and provides a fully featured conda-based environment (i.e. Conda, python, and commonly used utilities, libraries, and Python packages). AstroConda is a collection of Conda packages, also known as a “Conda Channel”, to be used with existing Miniconda and Anaconda installations via conda create, conda install, and conda update.
Note: Package recipes are freely available on and are maintained by the of the. What do you mean by Conda “root” environment? The root environment refers to the top-level directory structure created by the Miniconda or Anaconda installer. The package manager, Conda, resides under /home/username/.conda/bin. So for example, if you execute source deactivate your PATH environment variable is reset to point to the root environment. Thus, installing software at this level will be installed in the root bin directory too. Please refrain from installing any software into the root environment with either pip or conda.
It is recommended to always create a new environment with conda create and install new software into it. It is far easier to delete a broken environment with conda env remove than it is to reinstall Miniconda or Anaconda in its entirety. Custom environments are safely abstracted away from the root and live under /home/username/.conda/envs/.
I installed AstroConda packages into my Mini/Anaconda ‘root’ environment. Please reinstall Miniconda (or Anaconda) from scratch.
AstroConda uses source activate and source deactivate calls to control your shell environment. The Anaconda ‘root’ environment does not use this feature, and thus, the packages you have installed there will not work properly. To clarify, installing AstroConda packages directly into the ‘root’ may cause Miniconda (or Anaconda) itself to be come unstable. In addition to this, removing packages from this environment is tedious and will likely break your Anaconda installation if you are not careful.
Reinstalling from scratch is the safest option. # Make a backup of your existing installation if desired: $ tar cfz /safe/place/miniconda3OLD.tar.gz /miniconda3 # Remove Miniconda3 $ rm -rf /miniconda3 # Download the Miniconda3 installer for your platform from: # Execute the installer (where PLATFORM is one of Linux or MacOSX) $ bash /path/to/Miniconda3-latest-PLATFORM-x8664.sh The installer may offer to automatically edit /.bashprofile and prepend /miniconda3/bin to your PATH. If you already have this entry in your PATH, simply respond with ‘no’. Responding with ‘yes’ will add another entry even if it exists resulting in a PATH that looks much like: /miniconda3/bin:/miniconda3/bin:. # Make a backup of your existing installation if desired: $ tar cfz /safe/place/anaconda3old.tar.gz /anaconda3 # Remove anaconda3 $ rm -rf /anaconda3 # Download the Anaconda3 installer for your platform from: # (Note: Use the 'COMMAND-LINE INSTALLER') # Execute the installer (where VERSION is the version you downloaded, and PLATFORM is one of Linux or MacOSX) $ bash /path/to/Anaconda3-VERSION-PLATFORM-x8664.sh The installer may offer to automatically edit /.bashprofile and prepend /anaconda3/bin to your PATH.
If you already have this entry in your PATH, simply respond with ‘no’. Responding with ‘yes’ will add another entry even if it exists resulting in a PATH that looks much like: /anaconda3/bin:/anaconda3/bin:. How does AstroConda differ from Ureka?
Ureka and AstroConda both provide applications and libraries in binary form, however Ureka was a one size fits all distribution which included every package in one giant tarball. If an end-user only really wanted a small set of packages they were forced to install everything and then some. AstroConda is a if the shoe fits wear it distribution of packages.
If an end-user needs HSTCAL, for example, they can install HSTCAL and omit much of the rest of HST’s software suite. A major difference most people will appreciate is the sheer lack of shell scripts. Ureka’s environment was controlled by several dozen independent scripts. What makes AstroConda different? For one, it is not controlled by user-executed scripts. Changes to the environment are applied by special (read: embedded) scripts that are executed automatically by source activate, and the environment variables are unset with every source deactivate. This allows you to switch between several different environments rapidly without needing to keep track of what is defined in the environment.
Attention The following packaging guidelines are subject to change at any time. Please be respectful when commenting on pull-requests or issues. If your contribution is not accepted into AstroConda, as a general courtesy, you will be given a clear and concise reason.
Amen 4media dvd ripper ultimate 5 for mac free download. And then choose the wanted one from the list as the background music for the video.
As a contributor you may not claim exclusive rights to a particular recipe. You are free to maintain a recipe in AstroConda by issuing regular pull requests. Everyone is welcome to improve upon recipes so long as the changes do not introduce packaging conflicts. Abandoned recipes may be moved into the deprecated directory at any time without warning. The package no longer compiles, has been obsoleted, or presents a conflict that cannot be resolved, etc). Packages derived from deprecated recipes will remain available in AstroConda for historical purposes (i.e.
Fitsutil For Mac Os
To preserve backwards compatibility). Requirements: build: - mpmath - setuptools - python x.x run: - mpmath - python x.x What does the x.x imply exactly? This instructs conda build not to proceed unless python=version has been issued as an argument on the command-line. If x.x is omitted here, the recipe will choose the version of Python currently active in your environment.
Fitsutil For Mac Os X
In most cases it is best to be explicit rather than implicit when it comes to defining version requirements in Conda. The test section defines few useful lists, imports, commands, and requires.
While these are not required to be used in any given recipe, we do use them in AstroConda. The imports section is a list of Python module imports, the commands are executed in a basic shell environment, and finally requires defines any extraneous packages to be installed into the environment before running the tests.