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and times in the command line with a strong focus on use cases that
arise when dealing with large amounts of financial data. Their target
market is shell scripts that need date calculations or calendar
conversions, and as such they are highly pipe-able and modeled after
their well-known cousins (e.g. dtest vs. test, or dgrep vs. grep).</description>
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    <file>/usr/bin/datetest</file>
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    <file>/usr/bin/dgrep</file>
    <file>/usr/bin/dround</file>
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    <file>/usr/bin/dsort</file>
    <file>/usr/bin/dtest</file>
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    <file>/usr/bin/strptime</file>
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  <description>Event state stream tools.
Vapourware.</description>
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  <summary>Event state stream compiler and tools</summary>
  <description>Event state stream tools.
Vapourware.</description>
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managing data. It supports an unlimited variety of datatypes, and
is designed for flexible and efficient I/O and for high volume and
complex data. HDF5 is portable and is extensible, allowing
applications to evolve in their use of HDF5.

The HDF5 technology suite is designed to organize, store, discover,
access, analyze, share, and preserve diverse, complex data in
continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
or size. Petabytes of remote sensing data collected by satellites,
terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
together with metadata necessary for efficient data sharing,
processing, visualization, and archiving.

This package contains utility functions for working with HDF5 files.</description>
  <packager/>
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is designed for flexible and efficient I/O and for high volume and
complex data. HDF5 is portable and is extensible, allowing
applications to evolve in their use of HDF5.

The HDF5 technology suite is designed to organize, store, discover,
access, analyze, share, and preserve diverse, complex data in
continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
or size. Petabytes of remote sensing data collected by satellites,
terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
together with metadata necessary for efficient data sharing,
processing, visualization, and archiving.

This package contains utility functions for working with HDF5 files.</description>
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applications to evolve in their use of HDF5.

The HDF5 technology suite is designed to organize, store, discover,
access, analyze, share, and preserve diverse, complex data in
continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
or size. Petabytes of remote sensing data collected by satellites,
terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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applications to evolve in their use of HDF5.

The HDF5 technology suite is designed to organize, store, discover,
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continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
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terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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applications to evolve in their use of HDF5.

The HDF5 technology suite is designed to organize, store, discover,
access, analyze, share, and preserve diverse, complex data in
continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
or size. Petabytes of remote sensing data collected by satellites,
terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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This package contains all files needed to create projects that use
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applications to evolve in their use of HDF5.

The HDF5 technology suite is designed to organize, store, discover,
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continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
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terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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applications to evolve in their use of HDF5.

The HDF5 technology suite is designed to organize, store, discover,
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continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
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terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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This package contains all files needed to create projects that use
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applications to evolve in their use of HDF5.

The HDF5 technology suite is designed to organize, store, discover,
access, analyze, share, and preserve diverse, complex data in
continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
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terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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This package contains all files needed to create projects that use
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applications to evolve in their use of HDF5.

The HDF5 technology suite is designed to organize, store, discover,
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continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
or size. Petabytes of remote sensing data collected by satellites,
terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
together with metadata necessary for efficient data sharing,
processing, visualization, and archiving.

This package contains all files needed to create projects that use
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applications to evolve in their use of HDF5.

The HDF5 technology suite is designed to organize, store, discover,
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continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
or size. Petabytes of remote sensing data collected by satellites,
terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
together with metadata necessary for efficient data sharing,
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applications to evolve in their use of HDF5.

The HDF5 technology suite is designed to organize, store, discover,
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continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
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megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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This package contains generic files needed to create projects that use
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applications to evolve in their use of HDF5.

The HDF5 technology suite is designed to organize, store, discover,
access, analyze, share, and preserve diverse, complex data in
continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
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terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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This package contains generic files needed to create projects that use
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The HDF5 technology suite is designed to organize, store, discover,
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continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
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terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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The HDF5 technology suite is designed to organize, store, discover,
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continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
or size. Petabytes of remote sensing data collected by satellites,
terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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applications to evolve in their use of HDF5.

The HDF5 technology suite is designed to organize, store, discover,
access, analyze, share, and preserve diverse, complex data in
continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
or size. Petabytes of remote sensing data collected by satellites,
terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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The HDF5 technology suite is designed to organize, store, discover,
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continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
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megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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The HDF5 technology suite is designed to organize, store, discover,
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continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
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terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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The HDF5 technology suite is designed to organize, store, discover,
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HDF5 supports all types of data stored digitally, regardless of origin
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The HDF5 technology suite is designed to organize, store, discover,
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HDF5 supports all types of data stored digitally, regardless of origin
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megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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continuously evolving heterogeneous computing and storage environments.

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megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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continuously evolving heterogeneous computing and storage environments.

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terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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The HDF5 technology suite is designed to organize, store, discover,
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continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
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megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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applications to evolve in their use of HDF5.

The HDF5 technology suite is designed to organize, store, discover,
access, analyze, share, and preserve diverse, complex data in
continuously evolving heterogeneous computing and storage environments.

HDF5 supports all types of data stored digitally, regardless of origin
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terabytes of computational results from nuclear testing models, and
megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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HDF5 supports all types of data stored digitally, regardless of origin
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megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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HDF5 supports all types of data stored digitally, regardless of origin
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megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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megabytes of high-resolution MRI brain scans are stored in HDF5 files,
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HDF5 supports all types of data stored digitally, regardless of origin
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Tokyo Cabinet is developed as the successor of GDBM and QDBM on the following
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products.

Features:
* improves space efficiency: smaller size of database file.
* improves time efficiency: faster processing speed.
* improves parallelism: higher performance in multi-thread environment.
* improves usability: simplified API.
* improves robustness: database file is not corrupted even under catastrophic
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tree, or fixed-length array.

Tokyo Cabinet is developed as the successor of GDBM and QDBM on the following
purposes. They are achieved and Tokyo Cabinet replaces conventional DBM
products.

Features:
* improves space efficiency: smaller size of database file.
* improves time efficiency: faster processing speed.
* improves parallelism: higher performance in multi-thread environment.
* improves usability: simplified API.
* improves robustness: database file is not corrupted even under catastrophic
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Tokyo Cabinet is developed as the successor of GDBM and QDBM on the following
purposes. They are achieved and Tokyo Cabinet replaces conventional DBM
products.

Features:
* improves space efficiency: smaller size of database file.
* improves time efficiency: faster processing speed.
* improves parallelism: higher performance in multi-thread environment.
* improves usability: simplified API.
* improves robustness: database file is not corrupted even under catastrophic
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  <description>Just a nifty variant of strerror(3) for occasional usage.</description>
  <packager/>
  <url>https://github.com/hroptatyr/strerror/</url>
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  <description>Just a nifty variant of strerror(3) for occasional usage.</description>
  <packager/>
  <url>https://github.com/hroptatyr/strerror/</url>
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  <checksum type="sha" pkgid="YES">f41c1328f81b444d2befc1ccb66f08ca754d7d4f</checksum>
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  <description>Just a nifty variant of strerror(3) for occasional usage.</description>
  <packager/>
  <url>https://github.com/hroptatyr/strerror/</url>
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  <summary>Modern Implementation of DBM - CLI Utilities</summary>
  <description>Tokyo Cabinet is a library of routines for managing a database. The database
is a simple data file containing records, each is a pair of a key and a
value. Every key and value is serial bytes with variable length. Both binary
data and character string can be used as a key and a value. There is neither
concept of data tables nor data types. Records are organized in hash table, B+
tree, or fixed-length array.

Tokyo Cabinet is developed as the successor of GDBM and QDBM on the following
purposes. They are achieved and Tokyo Cabinet replaces conventional DBM
products.

Features:
* improves space efficiency: smaller size of database file.
* improves time efficiency: faster processing speed.
* improves parallelism: higher performance in multi-thread environment.
* improves usability: simplified API.
* improves robustness: database file is not corrupted even under catastrophic
  situation.
* supports 64-bit architecture: enormous memory space and database file are
  available.

This package contains the command-line utilities to manage Tokyocabinet
database files.</description>
  <packager/>
  <url>http://fallabs.com/tokyocabinet/</url>
  <time file="1441112561" build="1441112540"/>
  <size package="517966" installed="1810655" archive="1815148"/>
<location href="i586/tokyocabinet-1.4.48-21.1.i586.rpm"/>
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    <file>/usr/bin/tcamgr</file>
    <file>/usr/bin/tcbmgr</file>
    <file>/usr/bin/tcfmgr</file>
    <file>/usr/bin/tchmgr</file>
    <file>/usr/bin/tctmgr</file>
    <file>/usr/bin/tcucodec</file>
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<package type="rpm">
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  <summary>Modern Implementation of DBM - CLI Utilities</summary>
  <description>Tokyo Cabinet is a library of routines for managing a database. The database
is a simple data file containing records, each is a pair of a key and a
value. Every key and value is serial bytes with variable length. Both binary
data and character string can be used as a key and a value. There is neither
concept of data tables nor data types. Records are organized in hash table, B+
tree, or fixed-length array.

Tokyo Cabinet is developed as the successor of GDBM and QDBM on the following
purposes. They are achieved and Tokyo Cabinet replaces conventional DBM
products.

Features:
* improves space efficiency: smaller size of database file.
* improves time efficiency: faster processing speed.
* improves parallelism: higher performance in multi-thread environment.
* improves usability: simplified API.
* improves robustness: database file is not corrupted even under catastrophic
  situation.
* supports 64-bit architecture: enormous memory space and database file are
  available.

This package contains the command-line utilities to manage Tokyocabinet
database files.</description>
  <packager/>
  <url>http://fallabs.com/tokyocabinet/</url>
  <time file="1441112069" build="1441111818"/>
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<location href="ppc64/tokyocabinet-1.4.48-21.1.ppc64.rpm"/>
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  <summary>Modern Implementation of DBM - CLI Utilities</summary>
  <description>Tokyo Cabinet is a library of routines for managing a database. The database
is a simple data file containing records, each is a pair of a key and a
value. Every key and value is serial bytes with variable length. Both binary
data and character string can be used as a key and a value. There is neither
concept of data tables nor data types. Records are organized in hash table, B+
tree, or fixed-length array.

Tokyo Cabinet is developed as the successor of GDBM and QDBM on the following
purposes. They are achieved and Tokyo Cabinet replaces conventional DBM
products.

Features:
* improves space efficiency: smaller size of database file.
* improves time efficiency: faster processing speed.
* improves parallelism: higher performance in multi-thread environment.
* improves usability: simplified API.
* improves robustness: database file is not corrupted even under catastrophic
  situation.
* supports 64-bit architecture: enormous memory space and database file are
  available.

This package contains the command-line utilities to manage Tokyocabinet
database files.</description>
  <packager/>
  <url>http://fallabs.com/tokyocabinet/</url>
  <time file="1441112069" build="1441111818"/>
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  <summary>Modern Implementation of DBM - CLI Utilities</summary>
  <description>Tokyo Cabinet is a library of routines for managing a database. The database
is a simple data file containing records, each is a pair of a key and a
value. Every key and value is serial bytes with variable length. Both binary
data and character string can be used as a key and a value. There is neither
concept of data tables nor data types. Records are organized in hash table, B+
tree, or fixed-length array.

Tokyo Cabinet is developed as the successor of GDBM and QDBM on the following
purposes. They are achieved and Tokyo Cabinet replaces conventional DBM
products.

Features:
* improves space efficiency: smaller size of database file.
* improves time efficiency: faster processing speed.
* improves parallelism: higher performance in multi-thread environment.
* improves usability: simplified API.
* improves robustness: database file is not corrupted even under catastrophic
  situation.
* supports 64-bit architecture: enormous memory space and database file are
  available.

This package contains the command-line utilities to manage Tokyocabinet
database files.</description>
  <packager/>
  <url>http://fallabs.com/tokyocabinet/</url>
  <time file="1441112468" build="1441112431"/>
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  <description>This package contains a CGI frontend for Tokyocabinet
database files.</description>
  <packager/>
  <url>http://fallabs.com/tokyocabinet/</url>
  <time file="1441112561" build="1441112540"/>
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  <summary>Modern Implementation of DBM - CGI Frontend</summary>
  <description>This package contains a CGI frontend for Tokyocabinet
database files.</description>
  <packager/>
  <url>http://fallabs.com/tokyocabinet/</url>
  <time file="1441112069" build="1441111818"/>
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  <url>http://fallabs.com/tokyocabinet/</url>
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<package type="rpm">
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  <packager/>
  <url>http://fallabs.com/tokyocabinet/</url>
  <time file="1441112561" build="1441112540"/>
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- `shnot' generates snapshots of the market at specific times
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- allows to store meta data within the file (contract specs, etc.)
- is optimised for cli tools to automate common tasks

The ute tool set solves frequent tasks on the command line
- `mux' takes several other formats and converts them to ute
- `print' can generate output suitable for sql import, diff, grep, etc.
- `shnot' generates snapshots of the market at specific times
- `chandle' generates a market summary, candles of equal length
- `diff' shows differences between two or more ute files
- `grep' finds all ticks in an interval or all ticks of an instrument</description>
  <packager/>
  <url>https://github.com/hroptatyr/uterus/</url>
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  <summary>Universal library to transport huge amounts of tick data</summary>
  <description>Uterus is an universal tick encoder library to efficiently transport
huge amounts of tick data.

The ute file format
- provides a container for chronologically sorted quote and tick data
- allows to store meta data within the file (contract specs, etc.)
- is optimised for cli tools to automate common tasks

The ute tool set solves frequent tasks on the command line
- `mux' takes several other formats and converts them to ute
- `print' can generate output suitable for sql import, diff, grep, etc.
- `shnot' generates snapshots of the market at specific times
- `chandle' generates a market summary, candles of equal length
- `diff' shows differences between two or more ute files
- `grep' finds all ticks in an interval or all ticks of an instrument</description>
  <packager/>
  <url>https://github.com/hroptatyr/uterus/</url>
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<location href="x86_64/uterus-0.2.10-2.2.x86_64.rpm"/>
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  <summary>Development files for uterus</summary>
  <description>This package contains the header files and libraries needed for
compiling programs using the uterus library</description>
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  <url>https://github.com/hroptatyr/uterus/</url>
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  <url>https://github.com/hroptatyr/uterus/</url>
  <time file="1441267388" build="1441267378"/>
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      <rpm:entry name="libc.so.6(GLIBC_2.4)(64bit)"/>
    </rpm:requires>
    <file>/usr/bin/yuck</file>
  </format>
</package>
<package type="rpm">
  <name>yuck</name>
  <arch>src</arch>
  <version epoch="0" ver="0.2.3" rel="1.1"/>
  <checksum type="sha" pkgid="YES">0b6ea35d546f99fb16ed01b855c35c456549aef4</checksum>
  <summary>Your Umbrella Command Kit</summary>
  <description>A bog-standard command line option parser for C with all the knickknackery
and whatnots.</description>
  <packager/>
  <url>https://github.com/hroptatyr/yuck/</url>
  <time file="1464877685" build="1464877690"/>
  <size package="150863" installed="148957" archive="149332"/>
<location href="src/yuck-0.2.3-1.1.src.rpm"/>
  <format>
    <rpm:license>BSD-3-Clause</rpm:license>
    <rpm:vendor>obs://build.opensuse.org/home:rudi_m</rpm:vendor>
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    <rpm:buildhost>build92</rpm:buildhost>
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    <rpm:requires>
      <rpm:entry name="xz"/>
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  </format>
</package>
<package type="rpm">
  <name>yuck</name>
  <arch>x86_64</arch>
  <version epoch="0" ver="0.2.3" rel="1.1"/>
  <checksum type="sha" pkgid="YES">e9ef3c15707402bad1e085b23855a916e7784a63</checksum>
  <summary>Your Umbrella Command Kit</summary>
  <description>A bog-standard command line option parser for C with all the knickknackery
and whatnots.</description>
  <packager/>
  <url>https://github.com/hroptatyr/yuck/</url>
  <time file="1464878088" build="1464878083"/>
  <size package="37930" installed="96947" archive="99028"/>
<location href="x86_64/yuck-0.2.3-1.1.x86_64.rpm"/>
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    <rpm:vendor>obs://build.opensuse.org/home:rudi_m</rpm:vendor>
    <rpm:group>Productivity/Text/Convertors</rpm:group>
    <rpm:buildhost>lamb08</rpm:buildhost>
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    <file>/usr/bin/yuck</file>
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</package>

<package type="rpm">
  <name>dateutils</name>
  <arch>ppc64</arch>
  <version epoch="0" ver="0.4.0" rel="128.1"/>
  <checksum type="sha" pkgid="YES">20b64173fb6819fc82f2961c3f9a0158ec06e935</checksum>
  <summary>Nifty command line date and time utilities</summary>
  <description>Dateutils are a bunch of tools that revolve around fiddling with dates
and times in the command line with a strong focus on use cases that
arise when dealing with large amounts of financial data. Their target
market is shell scripts that need date calculations or calendar
conversions, and as such they are highly pipe-able and modeled after
their well-known cousins (e.g. dtest vs. test, or dgrep vs. grep).</description>
  <packager></packager>
  <url>https://github.com/hroptatyr/dateutils/</url>
  <time file="1466326298" build="1466326225"/>
  <size package="304299" installed="2223234" archive="2230184"/>
<location href="ppc64/dateutils-0.4.0-128.1.ppc64.rpm"/>
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    <rpm:vendor>obs://build.opensuse.org/home:rudi_m</rpm:vendor>
    <rpm:group>Productivity/Text/Utilities</rpm:group>
    <rpm:buildhost>build91</rpm:buildhost>
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      <rpm:entry name="libdl.so.2()(64bit)"/>
      <rpm:entry name="/bin/sh" pre="1"/>
      <rpm:entry name="info" pre="1"/>
    </rpm:requires>
    <file>/usr/bin/dadd</file>
    <file>/usr/bin/dateadd</file>
    <file>/usr/bin/dateconv</file>
    <file>/usr/bin/datediff</file>
    <file>/usr/bin/dategrep</file>
    <file>/usr/bin/dateround</file>
    <file>/usr/bin/dateseq</file>
    <file>/usr/bin/datesort</file>
    <file>/usr/bin/datetest</file>
    <file>/usr/bin/datezone</file>
    <file>/usr/bin/dconv</file>
    <file>/usr/bin/ddiff</file>
    <file>/usr/bin/dgrep</file>
    <file>/usr/bin/dround</file>
    <file>/usr/bin/dseq</file>
    <file>/usr/bin/dsort</file>
    <file>/usr/bin/dtest</file>
    <file>/usr/bin/dzone</file>
    <file>/usr/bin/strptime</file>
  </format>
</package>
</metadata>