Reverse order of values in example amplifier config files

As identified in GitHub issue #390, the dgt values (as well as gain and
nf ripple values) in example config json files are listed in order of
increasing wavelength (decreasing frequency) while the code assumes
values listed in the opposite order. This patch reverses the order of
values in affected files so that they are consistent with existing use
in the code.

Also, the f_min value in the Juniper-BoosterHG.json file is updated to
match measurement data so that interpolation is performed correctly.

Change-Id: I97a9d2f9be81380d1658bee5fa1ef4def3e1c537
Signed-off-by: Jonas Mårtensson <jonas.martensson@ri.se>

gnpy/example-data/Juniper-BoosterHG.json

@@ -1,13 +1,13 @@
 {
-      "nf_fit_coeff": [
+    "nf_fit_coeff": [
         0.0008,
         0.0272,
         -0.2249,
         6.4902
-       ],
-      "f_min": 191.35e12,
-      "f_max": 196.1e12,
-       "nf_ripple": [
+    ],
+    "f_min": 191.4e12,
+    "f_max": 196.1e12,
+    "nf_ripple": [
         0.0,
         0.0,
         0.0,
@@ -58,103 +58,103 @@
         0.0
     ],
     "gain_ripple": [
-        0.15017064489112,
-        0.14157768006701,
-        0.00223094639866,
-        -0.06701528475711,
-        -0.05982935510889,
-        -0.01028161641541,
-        0.02740682579566,
-        0.02795958961474,
-        0.00107516750419,
-        -0.02199015912898,
-        -0.00877407872698,
-        0.0453465242881,
-        0.1204721524288,
-        0.18936662479061,
-        0.23826109715241,
-        0.26956762981574,
-        0.27836159966498,
-        0.26941687604691,
-        0.23579878559464,
-        0.18147717755444,
-        0.1191656197655,
-        0.05921587102177,
-        0.01509526800668,
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-        -0.02475397822447,
-        -0.01847257118928,
-        -0.00420121440538,
-        0.01584903685091,
-        0.0399193886097,
-        0.04494451423784,
-        0.04961788107202,
-        0.03378873534338,
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-        -0.0765630234506,
-        -0.10606051088777,
-        -0.13550774706866,
-        -0.15460322445561,
-        -0.17113588777219,
-        -0.18053287269681,
-        -0.18324644053602,
-        -0.19440221943049,
-        -0.20897508375209,
-        -0.23575900335007,
-        -0.25188965661642,
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+        -0.10606051088777,
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+        -0.04962835008375,
+        -0.01319618927973,
+        0.01027114740367,
+        0.03378873534338,
+        0.04961788107202,
+        0.04494451423784,
+        0.0399193886097,
+        0.01584903685091,
+        -0.00420121440538,
+        -0.01847257118928,
+        -0.02475397822447,
+        -0.01053287269681,
+        0.01509526800668,
+        0.05921587102177,
+        0.1191656197655,
+        0.18147717755444,
+        0.23579878559464,
+        0.26941687604691,
+        0.27836159966498,
+        0.26956762981574,
+        0.23826109715241,
+        0.18936662479061,
+        0.1204721524288,
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+        0.00107516750419,
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+        0.00223094639866,
+        0.14157768006701,
+        0.15017064489112
     ],
     "dgt": [
-        2.4553191172498,
-        2.44342862248888,
-        2.41879254989742,
-        2.38192717604575,
-        2.33147727493671,
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-        2.10336369905543,
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-        1.92915262384742,
-        1.85543800978691,
-        1.79748596476494,
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-        1.72461030013125,
-        1.70379790088896,
-        1.68845480656382,
-        1.6761448370895,
-        1.66286684904577,
-        1.64799163036252,
-        1.63068023161292,
-        1.61073904908309,
-        1.58973304612691,
-        1.56750088631614,
-        1.54578500307573,
-        1.5242627235492,
-        1.50335352244996,
-        1.48420288841848,
-        1.46637521309853,
-        1.44977369463316,
-        1.43476940680732,
-        1.42089447397912,
-        1.40864903907609,
-        1.3966294751726,
-        1.38430337205545,
-        1.3710092503689,
-        1.35690844654118,
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+        1.68845480656382,
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+        1.72461030013125,
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+        2.38192717604575,
+        2.41879254989742,
+        2.44342862248888,
+        2.4553191172498
     ]
 }

gnpy/example-data/default_edfa_config.json

@@ -6,101 +6,101 @@
         0.0
     ],
     "dgt": [
-        2.714526681131686,
-        2.705443819238505,
-        2.6947834587664494,
-        2.6841217449620203,
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 }

gnpy/example-data/std_medium_gain_advanced_config.json

@@ -1,303 +1,304 @@
-{     "nf_fit_coeff": [
-      0.000168241,
-      0.0469961,
-      0.0359549,
-      5.82851
-      ],
-      "f_min": 191.35e12,
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