[arrayfire] 19/34: Fix quoting text in readme docs

[Ghislain Vaillant]

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ghisvail-guest pushed a commit to branch dfsg-clean
in repository arrayfire.

commit d99397f9db7bf71bc8403d974713906a67e4fda2
Author: Shehzan Mohammed <shehzan at arrayfire.com>
Date:   Wed Sep 23 13:23:12 2015 -0400

    Fix quoting text in readme docs
---
 docs/pages/README.md | 32 +++++++++++++++-----------------
 1 file changed, 15 insertions(+), 17 deletions(-)

diff --git a/docs/pages/README.md b/docs/pages/README.md
index 0b69825..3026902 100644
--- a/docs/pages/README.md
+++ b/docs/pages/README.md
@@ -135,24 +135,22 @@ If you wish to cite ArrayFire in an academic publication, please use the
 following reference:
 
 Formatted:
-```
-Yalamanchili, P., Arshad, U., Mohammed, Z., Garigipati, P., Entschev, P.,
-Kloppenborg, B., Malcolm, James and Melonakos, J. (2015).
-ArrayFire - A high performance software library for parallel computing with an
-easy-to-use API. Atlanta: AccelerEyes. Retrieved from https://github.com/arrayfire/arrayfire
-```
+
+    Yalamanchili, P., Arshad, U., Mohammed, Z., Garigipati, P., Entschev, P.,
+    Kloppenborg, B., Malcolm, James and Melonakos, J. (2015).
+    ArrayFire - A high performance software library for parallel computing with an
+    easy-to-use API. Atlanta: AccelerEyes. Retrieved from https://github.com/arrayfire/arrayfire
 
 BibTeX:
-```bibtex
- at misc{Yalamanchili2015,
-abstract = {ArrayFire is a high performance software library for parallel computing with an easy-to-use API. Its array based function set makes parallel programming simple. ArrayFire's multiple backends (CUDA, OpenCL and native CPU) make it platform independent and highly portable. A few lines of code in ArrayFire can replace dozens of lines of parallel computing code, saving you valuable time and lowering development costs.},
-address = {Atlanta},
-author = {Yalamanchili, Pavan and Arshad, Umar and Mohammed, Zakiuddin and Garigipati, Pradeep and Entschev, Peter and Kloppenborg, Brian and Malcolm, James and Melonakos, John},
-publisher = {AccelerEyes},
-title = {{ArrayFire - A high performance software library for parallel computing with an easy-to-use API}},
-url = {https://github.com/arrayfire/arrayfire},
-year = {2015}
-}
-```
+
+    @misc{Yalamanchili2015,
+    abstract = {ArrayFire is a high performance software library for parallel computing with an easy-to-use API. Its array based function set makes parallel programming simple. ArrayFire's multiple backends (CUDA, OpenCL and native CPU) make it platform independent and highly portable. A few lines of code in ArrayFire can replace dozens of lines of parallel computing code, saving you valuable time and lowering development costs.},
+    address = {Atlanta},
+    author = {Yalamanchili, Pavan and Arshad, Umar and Mohammed, Zakiuddin and Garigipati, Pradeep and Entschev, Peter and Kloppenborg, Brian and Malcolm, James and Melonakos, John},
+    publisher = {AccelerEyes},
+    title = {{ArrayFire - A high performance software library for parallel computing with an easy-to-use API}},
+    url = {https://github.com/arrayfire/arrayfire},
+    year = {2015}
+    }
 
 ArrayFire development is funded by ArrayFire LLC and several third parties, please see the list of <a href="https://github.com/arrayfire/arrayfire/blob/master/ACKNOWLEDGEMENTS.md">acknowledgements</a>.

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