sis_cscl.bkr 135 KB
Newer Older
Angelo Ziletti's avatar
Angelo Ziletti committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
{
    "beaker": "2",
    "evaluators": [
        {
            "name": "HTML",
            "plugin": "HTML",
            "view": {
                "cm": {
                    "mode": "htmlmixed"
                }
            }
        },
        {
            "name": "JavaScript",
            "plugin": "JavaScript",
            "view": {
                "cm": {
                    "mode": "javascript",
                    "background": "#FFE0F0"
                }
            },
            "languageVersion": "ES2015"
        },
        {
            "name": "IPython",
            "plugin": "IPython",
            "setup": "%matplotlib inline\nimport numpy\nimport matplotlib\nfrom matplotlib import pylab, mlab, pyplot\nnp = numpy\nplt = pyplot\nfrom IPython.display import display\nfrom IPython.core.pylabtools import figsize, getfigs\nfrom pylab import *\nfrom numpy import *\n",
            "view": {
                "cm": {
                    "mode": "python"
                }
            }
        }
    ],
    "cells": [
        {
37
            "id": "codej0ox8x",
Angelo Ziletti's avatar
Angelo Ziletti committed
38
39
40
41
            "type": "code",
            "evaluator": "HTML",
            "input": {
                "body": [
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
                    "<style type=\"text/css\">",
                    "/*!",
                    " * Nomad Beaker Notebook Template",
                    " *",
                    " * @copyright  Copyright 2017 Fritz Haber Institute of the Max Planck Society,",
                    " *             Benjamin Regler - Apache 2.0 License",
                    " * @license    http://www.apache.org/licenses/LICENSE-2.0",
                    " * @author     Benjamin Regler",
                    " * @version    1.0.0",
                    " *",
                    " * Licensed under the Apache License, Version 2.0 (the \"License\");",
                    " * you may not use this file except in compliance with the License.",
                    " * You may obtain a copy of the License at",
                    " * ",
                    " *     http://www.apache.org/licenses/LICENSE-2.0",
                    " *",
                    " * Unless required by applicable law or agreed to in writing, software",
                    " * distributed under the License is distributed on an \"AS IS\" BASIS,",
                    " * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.",
                    " * See the License for the specific language governing permissions and",
                    " * limitations under the License.",
                    " */",
                    "p{margin-bottom:1.3em}h1,h2,h3,h4{margin:1.414em 0 .5em;font-weight:inherit;line-height:1.2}h1{margin-top:0;font-size:3.998em}h2{font-size:2.827em}h3{font-size:1.999em}h4{font-size:1.414em}.font_small,small{font-size:.707em}.notebook-container{font-size:16px}.notebook-container .bkr{font-size:100%;font-weight:400;line-height:1.45;color:#333}.nomad--header h2{color:#20335d;font-weight:700;margin:0 0 .2em}.nomad--header h3{color:#20335d;font-weight:700;margin-top:0;text-indent:-1em;padding-left:1em}.nomad--header h3:before{content:\"\\2014\";padding-right:.25em}.nomad--header .nomad--description{margin:-1em 0 0 2em}.atomic-data--block,.nomad--last-updated{display:inline-block;margin-top:1em}.nomad--last-updated{color:grey;float:right;position:relative;z-index:1}.nomad--last-updated::before{bottom:-75%;content:attr(data-version);font-size:4em;font-weight:700;opacity:.2;position:absolute;right:0}.atomic-data label{display:block;font-size:medium;font-weight:700}.atomic-data--select,.chosen-container{width:100%!important}.atomic-data--select:disabled{color:#d3d3d3}.atomic-data--reset-buton{display:inline-block;margin-top:1.6em;width:100%}.modal-dialog{max-width:1000px;width:80%}.modal-header h1{font-size:2em;line-height:1.2}.modal-dialog h2{font-size:1.414em}.modal-dialog h2:first-child{margin-top:0}.modal-dialog h3{font-size:1.2em}.modal-dialog dt{font-size:larger;margin-top:1.414em}.modal-dialog img{width:100%}.modal-dialog .authors{text-transform:uppercase}",
                    "</style>"
                ],
                "hidden": true
            },
            "output": {
                "state": {},
                "result": {
                    "type": "BeakerDisplay",
                    "innertype": "Html",
                    "object": "<script>\nvar beaker = bkHelper.getBeakerObject().beakerObj;\n</script>\n<style type=\"text/css\">\n/*!\n * Nomad Beaker Notebook Template\n *\n * @copyright  Copyright 2017 Fritz Haber Institute of the Max Planck Society,\n *             Benjamin Regler - Apache 2.0 License\n * @license    http://www.apache.org/licenses/LICENSE-2.0\n * @author     Benjamin Regler\n * @version    1.0.0\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n * \n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\np{margin-bottom:1.3em}h1,h2,h3,h4{margin:1.414em 0 .5em;font-weight:inherit;line-height:1.2}h1{margin-top:0;font-size:3.998em}h2{font-size:2.827em}h3{font-size:1.999em}h4{font-size:1.414em}.font_small,small{font-size:.707em}.notebook-container{font-size:16px}.notebook-container .bkr{font-size:100%;font-weight:400;line-height:1.45;color:#333}.nomad--header h2{color:#20335d;font-weight:700;margin:0 0 .2em}.nomad--header h3{color:#20335d;font-weight:700;margin-top:0;text-indent:-1em;padding-left:1em}.nomad--header h3:before{content:\"\\2014\";padding-right:.25em}.nomad--header .nomad--description{margin:-1em 0 0 2em}.atomic-data--block,.nomad--last-updated{display:inline-block;margin-top:1em}.nomad--last-updated{color:grey;float:right;position:relative;z-index:1}.nomad--last-updated::before{bottom:-75%;content:attr(data-version);font-size:4em;font-weight:700;opacity:.2;position:absolute;right:0}.atomic-data label{display:block;font-size:medium;font-weight:700}.atomic-data--select,.chosen-container{width:100%!important}.atomic-data--select:disabled{color:#d3d3d3}.atomic-data--reset-buton{display:inline-block;margin-top:1.6em;width:100%}.modal-dialog{max-width:1000px;width:80%}.modal-header h1{font-size:2em;line-height:1.2}.modal-dialog h2{font-size:1.414em}.modal-dialog h2:first-child{margin-top:0}.modal-dialog h3{font-size:1.2em}.modal-dialog dt{font-size:larger;margin-top:1.414em}.modal-dialog img{width:100%}.modal-dialog .authors{text-transform:uppercase}\n</style>"
                },
                "selectedType": "BeakerDisplay",
                "elapsedTime": 0,
                "height": 50
            },
            "evaluatorReader": true,
            "lineCount": 24
        },
        {
            "id": "codezNmKSU",
            "type": "code",
            "evaluator": "HTML",
            "input": {
                "body": [
                    "<div id=\"teaser\" style='background-color: rgba(149,170,79, 1.0); background-position:  right center; background-size: 200px; background-repeat: no-repeat; ",
                    "    padding-top: 20px;",
                    "    padding-right: 10px;",
                    "    padding-bottom: 50px;",
                    "    padding-left: 80px;' > ",
                    "",
                    "  <div class=\"nomad--header\">",
                    "   <div style=\"text-align:center\">",
                    "    <h2> <img id=\"nomad\" src=\"https://nomad-coe.eu/uploads/nomad/images/NOMAD_Logo2.png\" height=\"100\" alt=\"NOMAD Logo\">  NOMAD Analytics Toolkit   ",
                    "  <img id=\"nomad\" src=\"https://www.nomad-coe.eu/uploads/nomad/backgrounds/head_big-data_analytics_2.png\" height=\"80\" alt=\"NOMAD Logo\"> </h2>",
                    "  </div>",
                    "    <h3>Predicting energy differences between crystal structures: (Meta-)stability of octet-binary compounds</h3>",
                    "    <p class=\"nomad--description\">",
                    "      created by:",
                    " Angelo Ziletti<sup> 1</sup>,",
                    " Emre Ahmetcik<sup>1</sup>,",
                    " Runhai Ouyang<sup>1</sup>,",
                    " Ankit Kariryaa<sup>1</sup>, ",
                    " Fawzi R. Mohamed<sup>1</sup>,",
                    " Luca Ghiringhelli<sup>1</sup>,",
                    " and Matthias Scheffler<sup>1</sup> <br><br>",
                    "   ",
                    "      <sup>1</sup> Fritz Haber Institute of the Max Planck Society, Faradayweg 4-6, D-14195 Berlin, Germany <br>",
112
                    "      <span class=\"nomad--last-updated\" data-version=\"v1.0.0\">[Last updated: May 15, 2017]</span>",
113
                    "    </p>",
Angelo Ziletti's avatar
Angelo Ziletti committed
114
                    "</div>",
115
116
117
118
119
120
                    "",
                    "</div>  ",
                    "",
                    "<div style='text-align: right;'>",
                    "<a href=\"https://analytics-toolkit.nomad-coe.eu/home/\" class=\"btn btn-primary\" style=\"font-size:larger;\">Back to Analytics Home</a> ",
                    "<a href=\"https://www.nomad-coe.eu/\" class=\"btn btn-primary\" style=\"font-size:larger;\">Back to NOMAD CoE Home</a> ",
Angelo Ziletti's avatar
Angelo Ziletti committed
121
                    "</div>",
122
                    ""
Your Name's avatar
Your Name committed
123
124
                ],
                "hidden": true
Angelo Ziletti's avatar
Angelo Ziletti committed
125
126
127
128
129
130
            },
            "output": {
                "state": {},
                "result": {
                    "type": "BeakerDisplay",
                    "innertype": "Html",
131
                    "object": "<script>\nvar beaker = bkHelper.getBeakerObject().beakerObj;\n</script>\n<div id=\"teaser\" style=\"background-color: rgba(149,170,79, 1.0); background-position:  right center; background-size: 200px; background-repeat: no-repeat; \n    padding-top: 20px;\n    padding-right: 10px;\n    padding-bottom: 50px;\n    padding-left: 80px;\"> \n\n  <div class=\"nomad--header\">\n   <div style=\"text-align:center\">\n    <h2> <img id=\"nomad\" src=\"https://nomad-coe.eu/uploads/nomad/images/NOMAD_Logo2.png\" alt=\"NOMAD Logo\" height=\"100\">  NOMAD Analytics Toolkit   \n  <img id=\"nomad\" src=\"https://www.nomad-coe.eu/uploads/nomad/backgrounds/head_big-data_analytics_2.png\" alt=\"NOMAD Logo\" height=\"80\"> </h2>\n  </div>\n    <h3>Predicting energy differences between crystal structures: (Meta-)stability of octet-binary compounds</h3>\n    <p class=\"nomad--description\">\n      created by:\n Angelo Ziletti<sup> 1</sup>,\n Emre Ahmetcik<sup>1</sup>,\n Runhai Ouyang<sup>1</sup>,\n Ankit Kariryaa<sup>1</sup>, \n Fawzi R. Mohamed<sup>1</sup>,\n Luca Ghiringhelli<sup>1</sup>,\n and Matthias Scheffler<sup>1</sup> <br><br>\n   \n      <sup>1</sup> Fritz Haber Institute of the Max Planck Society, Faradayweg 4-6, D-14195 Berlin, Germany <br>\n      <span class=\"nomad--last-updated\" data-version=\"v1.0.0\">[Last updated: May 15, 2017]</span>\n    </p>\n</div>\n\n</div>  \n\n<div style=\"text-align: right;\">\n<a href=\"https://analytics-toolkit.nomad-coe.eu/home/\" class=\"btn btn-primary\" style=\"font-size:larger;\">Back to Analytics Home</a> \n<a href=\"https://www.nomad-coe.eu/\" class=\"btn btn-primary\" style=\"font-size:larger;\">Back to NOMAD CoE Home</a> \n</div>\n"
132
133
134
                },
                "selectedType": "BeakerDisplay",
                "elapsedTime": 0,
135
                "height": 404
Angelo Ziletti's avatar
Angelo Ziletti committed
136
137
            },
            "evaluatorReader": true,
138
            "lineCount": 34
Angelo Ziletti's avatar
Angelo Ziletti committed
139
140
        },
        {
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
            "id": "markdownKOPYxK",
            "type": "markdown",
            "body": [
                "### Introduction ",
                "",
                "This tutorial shows how to find descriptive parameters (short formulas) that predict the crystal structure (here, rocksalt (RS), zincblende (ZB), CsCl, NiAs or CrB), using the example of octet binary compounds. It is based on the algorithm Sure Independence Screening followed by L0 minimization (SIS+L0), that enables to search for optimal descriptor by scanning huge feature spaces.",
                "  <div style=\"padding: 1ex; margin-top: 1ex; margin-bottom: 1ex; border-style: dotted; border-width: 1pt; border-color: blue; border-radius: 3px;\">",
                "R. Ouyang, E. Ahmetcik, L. M. Ghiringhelli, and M. Scheffler: <span style=\"font-style: italic;\">Descriptor identification for material properties via compressed sensing</span>, in preparation.",
                "</div>",
                "With the default settings, the method reproduces the same results from:",
                "<div style=\"padding: 1ex; margin-top: 1ex; margin-bottom: 1ex; border-style: dotted; border-width: 1pt; border-color: blue; border-radius: 3px;\">",
                "L. M. Ghiringhelli, J. Vybiral, S. V. Levchenko, C. Draxl, M. Scheffler: <span style=\"font-style: italic;\">Big Data of Materials Science: Critical Role of the Descriptor</span>,  Phys. Rev. Lett. 114, 105503 (2015) <a href=\"http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.114.105503\">[PDF]</a>,",
                "</div>",
                "that were obtained obtained by applying the <a href=\"http://analytics-toolkit.nomad-coe.eu/tutorial-LASSO_L0\">[LASSO+L0 algorithm]</a>. Click on <b>Run</b> below to reproduce results from this publication; click <b>Background</b> for an explanation of the approach; or, modify <b>Settings</b> to produce your own results.",
                "",
                "<b> Idea: </b> Starting from simple physical quantities (\"building blocks\", here properties of the constituent free atoms such as orbital radii), millions (or billions) of candidate formulas are generated by applying arithmetic operations combining building blocks, for example forming sums and products of them. These candidate formulas constitute the so-called \"feature space\". Then a feature selection method (SIS+L0) is used to select only a few of these formulas that explain the data."
            ],
            "evaluatorReader": false
        },
        {
            "id": "codeHb7sIB",
Angelo Ziletti's avatar
Angelo Ziletti committed
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
            "type": "code",
            "evaluator": "HTML",
            "input": {
                "body": [
                    "<script>",
                    "var run_lasso = function() {",
                    "  $(\"#lasso_result_button\").removeClass(\"active\").addClass(\"disabled\");",
                    "  getFeatures();",
                    "  getOperators();",
                    "  beaker.max_dim = $(\"#lasso_max_dim_selector\").val();",
                    "  beaker.structures_diff = $(\"#lasso_structures_diff\").val();",
                    "  beaker.n_comb = $(\"#n_comb\").val();",
                    "  beaker.n_sis = $(\"#n_sis\").val();",
                    "  beaker.units = $(\"#units_select\").val();",
                    "  beaker.evaluate(\"calc_cell\"); // evaluate cells with tag \"lasso_cell\"",
                    " // view_result()",
                    "};",
                    "var reset_lasso = function(){",
                    "  beaker.evaluate(\"lasso-settings-cell\");",
                    "  var e = document.getElementById('lasso-hidden-settings-div');",
                    "  var b = document.getElementById('lasso-hidden-settings-button');",
                    "  e.style.display = 'block';",
                    "  b.style.display = 'inline';",
                    "};",
                    "var getFeatures = function() {",
                    "    beaker.selected_feature_list = [];",
                    "    $('#lasso_features_select input:checkbox').each(function () {",
                    "        if(this.checked )",
                    "          beaker.selected_feature_list.push(this.value);",
                    "    });",
                    "};",
                    "var getOperators = function() {",
                    "    beaker.allowed_operations = [];",
                    "    $('#lasso_operators_select input:checkbox').each(function () {",
                    "        if(this.checked )",
                    "          beaker.allowed_operations.push(this.value);",
                    "    });",
                    "};  ",
                    "",
                    "var toggle_settings = function(){",
                    "  var e = document.getElementById('lasso-hidden-settings-div');",
                    "  var b = document.getElementById('lasso-hidden-settings-button');",
                    "  if(e.style.display == 'block'){",
                    "    e.style.display = 'none';",
                    "    b.style.display = 'none';",
                    "  }",
                    "  else{",
                    "    e.style.display = 'block';",
                    "    b.style.display = 'inline';",
                    "  }",
                    "};",
                    "beaker.view_result = function(result_link) {",
                    "//   beaker.evaluate(\"lasso_viewer_result\").then(function(x) {",
                    "    $(\"#lasso_result_button\").attr(\"href\", result_link);",
                    "//   }); ",
                    "  $(\"#lasso_result_button\").removeClass(\"disabled\").addClass(\"active\");",
                    "}",
                    "",
                    "</script>",
                    "",
222
223
224
                    "<button type=\"button\" class=\"btn btn-default\" data-toggle=\"modal\" data-target=\"#modal-credits\" style=\"font-size:larger;\">Background</button>",
                    "<div class=\"modal fade\" id=\"modal-credits\" tabindex=\"-1\" role=\"dialog\" aria-labelledby=\"modal-credits\">",
                    "  <div class=\"modal-dialog\" role=\"document\">",
Angelo Ziletti's avatar
Angelo Ziletti committed
225
226
227
                    "    <div class=\"modal-content\">",
                    "      <div class=\"modal-header\">",
                    "        <button type=\"button\" class=\"close\" data-dismiss=\"modal\" aria-label=\"Close\"><span aria-hidden=\"true\">×</span></button>",
228
229
                    "        <h1 class=\"modal-title\" id=\"modal-credits-label\">Background</h1>",
                    "        <hr>",
Angelo Ziletti's avatar
Angelo Ziletti committed
230
                    "      </div>",
231
232
233
                    "      <div class=\"modal-body modal-credits-body\">",
                    "",
                    "    <p>We present a tool for predicting the crystal structure of octet binary compounds, by using a set of descriptive parameters (a descriptor) based on free-atom data of the atomic species constituting the binary material. We apply a newly developed method: Sure Independence Screening + L0-regularization (SIS+L0), that allows to find an optimal descriptor in a huge feature space containing billions of features &#167;.",
Angelo Ziletti's avatar
Angelo Ziletti committed
234
235
236
237
238
239
                    "The method is described in:",
                    "<div style=\"padding: 1ex; margin-top: 1ex; margin-bottom: 1ex; border-style: dotted; border-width: 1pt; border-color: blue; border-radius: 3px;\">",
                    "R. Ouyang, E. Ahmetcik, L. M. Ghiringhelli, and M. Scheffler: <span style=\"font-style: italic;\">Descriptor identification for material properties via compressed sensing</span>, in preparation.",
                    "</div>",
                    "</p>",
                    " ",
Your Name's avatar
Your Name committed
240
                    "<p>SIS+L0 works iteratively. In the first iteration, a number k of features is collected that have the largest correlation (scalar product) with the property vector. The feature with the largest correlation is simply the 1D descriptor. Next, a residual is constructed as the error made at the first iteration. A new set of k features is now selected as those having the largest  correlation with the residual. The 2D descriptor is the pair of features that yield the smallest fitting error upon least square regression, among all possible pairs contained in the union of the sets selected in this and the first iteration. In each next iteration a new residual is constructed as the error made in the previous iteration, then a new set of k features is extracted as those that have largest correlation with each new residual. The nD descriptor is the n-tuple of features that yield the smallest fitting error upon least square regression, among all possible n-tuples contained in the union of the sets obtained in each new iteration and all the previous iterations. If k=1 the method collapses to the so-called orthogonal matching pursuit.",
Angelo Ziletti's avatar
Angelo Ziletti committed
241
242
243
244
245
246
                    "</p>",
                    "",
                    "        <p>The prediction of the ground-state structure for binary compounds from a simple descriptor has a notable history in materials science [1-7], where descriptors were designed by chemically/physically-inspired intuition. The tool presented here allows for the machine-learning-aided automatic discovery of a descriptor and a model for the prediction of the difference in energy between a selected pair of structures for 82 octet binary materials.</p>",
                    "",
                    "",
                    "        <p> By running the tutorial with the default setting, the (RS vs. ZB) results of the <a href=\"http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.114.105503\" target=\"_blank\">PRL 2015</a> identified by the LASSO+L0 method can be recovered.</p>",
Your Name's avatar
Your Name committed
247
                    "",
248
                    "<p>&#167; The same task is also addressed in the tutorial <a href=\"http://analytics-toolkit.nomad-coe.eu/tutorial-LASSO_L0\">\"[Predicting energy differences between different crystal structures I: large feature space]\"</a>, where an alternative method, LASSO+L0, is used to find an optimal descriptor in a moderately large feature space. LASSO+L0 was introduced in [<a href=\"http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.114.105503\" target=\"_blank\">PRL 2015</a>] and SIS+L0 was introduced more recently in order to cope with much larger and highly correlated feature spaces.</p>",
Angelo Ziletti's avatar
Angelo Ziletti committed
249
250
251
252
253
                    "",
                    "        <p>References:</p>",
                    "        <ol>",
                    "          <li>J. A. van Vechten, Phys. Rev. 182, 891 (1969).</li>",
                    "          <li>J. C. Phillips, Rev. Mod. Phys. 42, 317 (1970).</li>",
Your Name's avatar
Your Name committed
254
                    "          <li>J. John and A. N. Bloch, Phys. Rev. Lett. 33, 1095 (1974).</li>",
Angelo Ziletti's avatar
Angelo Ziletti committed
255
256
257
258
                    "          <li>J. R. Chelikowsky and J. C. Phillips, Phys. Rev. B 17, 2453 (1978).</li>",
                    "          <li>A. Zunger, Phys. Rev. B 22, 5839 (1980).</li>",
                    "          <li>D. G. Pettifor, Solid State Commun. 51, 31 (1984).</li>",
                    "          <li>Y. Saad, D. Gao, T. Ngo, S. Bobbitt, J. R. Chelikowsky, and W. Andreoni, Phys. Rev. B 85, 104104 (2012).</li>",
259
260
261
262
                    "        </ol>      ",
                    "        ",
                    "        ",
                    "      ",
Angelo Ziletti's avatar
Angelo Ziletti committed
263
264
                    "      </div>",
                    "      <div class=\"modal-footer\">",
265
                    "        <button type=\"button\" class=\"btn btn-default\" data-dismiss=\"modal\" style=\"font-size:larger;\">Close</button>",
Angelo Ziletti's avatar
Angelo Ziletti committed
266
267
268
269
270
271
                    "      </div>",
                    "    </div>",
                    "  </div>",
                    "</div>",
                    "",
                    "",
272
273
                    "<button type=\"button\" class=\"btn btn-info\" data-toggle=\"modal\" data-target=\"#modal-instructions\" style=\"font-size:larger;\">Read usage instructions</button>",
                    "<div class=\"modal fade\" id=\"modal-instructions\" tabindex=\"-1\" role=\"dialog\" aria-labelledby=\"modal-instructions\">",
Angelo Ziletti's avatar
Angelo Ziletti committed
274
275
276
277
                    "  <div class=\"modal-dialog\" role=\"document\">",
                    "    <div class=\"modal-content\">",
                    "      <div class=\"modal-header\">",
                    "        <button type=\"button\" class=\"close\" data-dismiss=\"modal\" aria-label=\"Close\"><span aria-hidden=\"true\">×</span></button>",
278
279
                    "        <h1 class=\"modal-title\" id=\"modal-instructions-label\">Instructions</h1>",
                    "        <hr>",
Angelo Ziletti's avatar
Angelo Ziletti committed
280
                    "      </div>",
281
282
283
                    "      <div class=\"modal-body modal-instruction-body\">",
                    "        ",
                    "   <p>In this example, you can run a compressed-sensing based algorithm for finding the optimal descriptor and model that predicts the difference in energy between crystal structures (here, zincblende vs. rocksalt, CsCl, NiAs or CrB structure). </p>",
Angelo Ziletti's avatar
Angelo Ziletti committed
284
285
286
                    "",
                    "<p>The descriptor is selected out of a large number of candidates constructed as functions of basic input features, the primary features. </p>",
                    "",
Your Name's avatar
Your Name committed
287
                    "<p>By clicking <b>Settings</b> you can select the structure pair of interest (either RS/ZB, CsCl/ZB, NiAs/ZB or CrB/ZB), the primary features as well as which kind of unary and binary operations are allowed during feature space construction from the checklist below. Moreover the dimension of the output energies (kcal/mol or eV) and the following three parameters of the SIS+L0 algorithm can be specified: ",
Angelo Ziletti's avatar
Angelo Ziletti committed
288
                    "        <ul>",
289
290
                    "          <li>Number of iterations for the construction for the feature space: How often the selected operations are applied to build the feature space. At each step the operations are applied on all features created until the current step. </li>",
                    "          <li>Maximum dimension of optimal descriptor: Number of SIS iterations.</li>",
Angelo Ziletti's avatar
Angelo Ziletti committed
291
292
                    "          <li>Number of collected features per SIS iteration.</li>",
                    "        </ul>    ",
293
                    "            ",
Angelo Ziletti's avatar
Angelo Ziletti committed
294
295
296
297
298
299
                    "  ",
                    "<p>        After the preferred settings have been adjusted, click <b>RUN</b> for performing the calculations (loading the values of the primary features, creation of the feature space, and optimization via SIS+L0). </p>",
                    "",
                    "During the run, a brief summary is printed out below the <b>RUN</b> button. At the end of the run: ",
                    "  <ul>",
                    "  <li> the solution (machine-learned descriptor, model, and its performance in terms of training error) is printed out underneath starting from the one-dimensional solution to the selected maximum dimensionality and</li>",
Your Name's avatar
Your Name committed
300
                    "<li> the “View interactive 2D scatter plot” button unlocks. By clicking this button, the scatter plot with the two-dimensional descriptor appears in a separate tab. If a descriptor dimensionality greater than two was selected, the scatter plot displays the two-dimensional descriptor.</li>",
Angelo Ziletti's avatar
Angelo Ziletti committed
301
                    "</ul>",
Your Name's avatar
Your Name committed
302
                    "<p>Note: the scatter plot remains active even if another run is performed, which enables the output of several sets of input parameters to be compared.</p>",
303
                    "           ",
Angelo Ziletti's avatar
Angelo Ziletti committed
304
305
                    "      </div>",
                    "      <div class=\"modal-footer\">",
306
                    "        <button type=\"button\" class=\"btn btn-default\" data-dismiss=\"modal\" style=\"font-size:larger;\">Close</button>",
Angelo Ziletti's avatar
Angelo Ziletti committed
307
308
309
310
311
                    "      </div>",
                    "    </div>",
                    "  </div>",
                    "</div>",
                    "",
312
                    "<p></p>"
313
314
                ],
                "hidden": true
Angelo Ziletti's avatar
Angelo Ziletti committed
315
316
317
318
319
320
            },
            "output": {
                "state": {},
                "result": {
                    "type": "BeakerDisplay",
                    "innertype": "Html",
321
                    "object": "<script>\nvar beaker = bkHelper.getBeakerObject().beakerObj;\n</script>\n<script>\nvar run_lasso = function() {\n  $(\"#lasso_result_button\").removeClass(\"active\").addClass(\"disabled\");\n  getFeatures();\n  getOperators();\n  beaker.max_dim = $(\"#lasso_max_dim_selector\").val();\n  beaker.structures_diff = $(\"#lasso_structures_diff\").val();\n  beaker.n_comb = $(\"#n_comb\").val();\n  beaker.n_sis = $(\"#n_sis\").val();\n  beaker.units = $(\"#units_select\").val();\n  beaker.evaluate(\"calc_cell\"); // evaluate cells with tag \"lasso_cell\"\n // view_result()\n};\nvar reset_lasso = function(){\n  beaker.evaluate(\"lasso-settings-cell\");\n  var e = document.getElementById('lasso-hidden-settings-div');\n  var b = document.getElementById('lasso-hidden-settings-button');\n  e.style.display = 'block';\n  b.style.display = 'inline';\n};\nvar getFeatures = function() {\n    beaker.selected_feature_list = [];\n    $('#lasso_features_select input:checkbox').each(function () {\n        if(this.checked )\n          beaker.selected_feature_list.push(this.value);\n    });\n};\nvar getOperators = function() {\n    beaker.allowed_operations = [];\n    $('#lasso_operators_select input:checkbox').each(function () {\n        if(this.checked )\n          beaker.allowed_operations.push(this.value);\n    });\n};  \n\nvar toggle_settings = function(){\n  var e = document.getElementById('lasso-hidden-settings-div');\n  var b = document.getElementById('lasso-hidden-settings-button');\n  if(e.style.display == 'block'){\n    e.style.display = 'none';\n    b.style.display = 'none';\n  }\n  else{\n    e.style.display = 'block';\n    b.style.display = 'inline';\n  }\n};\nbeaker.view_result = function(result_link) {\n//   beaker.evaluate(\"lasso_viewer_result\").then(function(x) {\n    $(\"#lasso_result_button\").attr(\"href\", result_link);\n//   }); \n  $(\"#lasso_result_button\").removeClass(\"disabled\").addClass(\"active\");\n}\n\n</script>\n\n<button type=\"button\" class=\"btn btn-default\" data-toggle=\"modal\" data-target=\"#modal-credits\" style=\"font-size:larger;\">Background</button>\n<div class=\"modal fade\" id=\"modal-credits\" tabindex=\"-1\" role=\"dialog\" aria-labelledby=\"modal-credits\">\n  <div class=\"modal-dialog\" role=\"document\">\n    <div class=\"modal-content\">\n      <div class=\"modal-header\">\n        <button type=\"button\" class=\"close\" data-dismiss=\"modal\" aria-label=\"Close\"><span aria-hidden=\"true\">×</span></button>\n        <h1 class=\"modal-title\" id=\"modal-credits-label\">Background</h1>\n        <hr>\n      </div>\n      <div class=\"modal-body modal-credits-body\">\n\n    <p>We present a tool for predicting the crystal structure of octet binary compounds, by using a set of descriptive parameters (a descriptor) based on free-atom data of the atomic species constituting the binary material. We apply a newly developed method: Sure Independence Screening + L0-regularization (SIS+L0), that allows to find an optimal descriptor in a huge feature space containing billions of features §.\nThe method is described in:\n</p><div style=\"padding: 1ex; margin-top: 1ex; margin-bottom: 1ex; border-style: dotted; border-width: 1pt; border-color: blue; border-radius: 3px;\">\nR. Ouyang, E. Ahmetcik, L. M. Ghiringhelli, and M. Scheffler: <span style=\"font-style: italic;\">Descriptor identification for material properties via compressed sensing</span>, in preparation.\n</div>\n<p></p>\n \n<p>SIS+L0 works iteratively. In the first iteration, a number k of features is collected that have the largest correlation (scalar product) with the property vector. The feature with the largest correlation is simply the 1D descriptor. Next, a residual is constructed as the error made at the first iteration. A new set of k features is now selected as those having the largest  correlation with the residual. The 2D descriptor is the pair of features that yield the smallest fitting error upon least square regression, among all possible pairs contained in the union of the sets selected in this and the first iteration. In each next iteration a new residual is constructed as the error made in the previous iteration, then a new set of k features is extracted as those that have largest correlation with each new residual. The nD descriptor is the n-tuple of features that yield the smallest fitting error upon least square regression, among all possible n-tuples contained in the union of the sets obtained in each new iteration and all the previous iterations. If k=1 the method collapses to the so-called orthogonal matching pursuit.\n</p>\n\n        <p>The prediction of the ground-state structure for binary compounds from a simple descriptor has a notable history in materials science [1-7], where descriptors were designed by chemically/physically-inspired intuition. The tool presented here allows for the machine-learning-aided automatic discovery of a descriptor and a model for the prediction of the difference in energy between a selected pair of structures for 82 octet binary materials.</p>\n\n\n        <p> By running the tutorial with the default setting, the (RS vs. ZB) results of the <a href=\"http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.114.105503\" target=\"_blank\">PRL 2015</a> identified by the LASSO+L0 method can be recovered.</p>\n\n<p>§ The same task is also addressed in the tutorial <a href=\"http://analytics-toolkit.nomad-coe.eu/tutorial-LASSO_L0\">\"[Predicting energy differences between different crystal structures I: large feature space]\"</a>, where an alternative method, LASSO+L0, is used to find an optimal descriptor in a moderately large feature space. LASSO+L0 was introduced in [<a href=\"http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.114.105503\" target=\"_blank\">PRL 2015</a>] and SIS+L0 was introduced more recently in order to cope with much larger and highly correlated feature spaces.</p>\n\n        <p>References:</p>\n        <ol>\n          <li>J. A. van Vechten, Phys. Rev. 182, 891 (1969).</li>\n          <li>J. C. Phillips, Rev. Mod. Phys. 42, 317 (1970).</li>\n          <li>J. John and A. N. Bloch, Phys. Rev. Lett. 33, 1095 (1974).</li>\n          <li>J. R. Chelikowsky and J. C. Phillips, Phys. Rev. B 17, 2453 (1978).</li>\n          <li>A. Zunger, Phys. Rev. B 22, 5839 (1980).</li>\n          <li>D. G. Pettifor, Solid State Commun. 51, 31 (1984).</li>\n          <li>Y. Saad, D. Gao, T. Ngo, S. Bobbitt, J. R. Chelikowsky, and W. Andreoni, Phys. Rev. B 85, 104104 (2012).</li>\n        </ol>      \n        \n        \n      \n      </div>\n      <div class=\"modal-footer\">\n        <button type=\"button\" class=\"btn btn-default\" data-dismiss=\"modal\" style=\"font-size:larger;\">Close</button>\n      </div>\n    </div>\n  </div>\n</div>\n\n\n<button type=\"button\" class=\"btn btn-info\" data-toggle=\"modal\" data-target=\"#modal-instructions\" style=\"font-size:larger;\">Read usage instructions</button>\n<div class=\"modal fade\" id=\"modal-instructions\" tabindex=\"-1\" role=\"dialog\" aria-labelledby=\"modal-instructions\">\n  <div class=\"modal-dialog\" role=\"document\">\n    <div class=\"modal-content\">\n      <div class=\"modal-header\">\n        <button type=\"button\" class=\"close\" data-dismiss=\"modal\" aria-label=\"Close\"><span aria-hidden=\"true\">×</span></button>\n        <h1 class=\"modal-title\" id=\"modal-instructions-label\">Instructions</h1>\n        <hr>\n      </div>\n      <div class=\"modal-body modal-instruction-body\">\n        \n   <p>In this example, you can run a compressed-sensing based algorithm for finding the optimal descriptor and model that predicts the difference in energy between crystal structures (here, zincblende vs. rocksalt, CsCl, NiAs or CrB structure). </p>\n\n<p>The descriptor is selected out of a large number of candidates constructed as functions of basic input features, the primary features. </p>\n\n<p>By clicking <b>Settings</b> you can select the structure pair of interest (either RS/ZB, CsCl/ZB, NiAs/ZB or CrB/ZB), the primary features as well as which kind of unary and binary operations are allowed during feature space construction from the checklist below. Moreover the dimension of the output energies (kcal/mol or eV) and the following three parameters of the SIS+L0 algorithm can be specified: \n        </p><ul>\n          <li>Number of iterations for the construction for the feature space: How often the selected operations are applied to build the feature space. At each step the operations are applied on all features created until the current step. </li>\n          <li>Maximum dimension of optimal descriptor: Number of SIS iterations.</li>\n          <li>Number of collected features per SIS iteration.</li>\n        </ul>    \n            \n  \n<p>        After the preferred settings have been adjusted, click <b>RUN</b> for performing the calculations (loading the values of the primary features, creation of the feature space, and optimization via SIS+L0). </p>\n\nDuring the run, a brief summary is printed out below the <b>RUN</b> button. At the end of the run: \n  <ul>\n  <li> the solution (machine-learned descriptor, model, and its performance in terms of training error) is printed out underneath starting from the one-dimensional solution to the selected maximum dimensionality and</li>\n<li> the “View interactive 2D scatter plot” button unlocks. By clicking this button, the scatter plot with the two-dimensional descriptor appears in a separate tab. If a descriptor dimensionality greater than two was selected, the scatter plot displays the two-dimensional descriptor.</li>\n</ul>\n<p>Note: the scatter plot remains active even if another run is performed, which enables the output of several sets of input parameters to be compared.</p>\n           \n      </div>\n      <div class=\"modal-footer\">\n        <button type=\"button\" class=\"btn btn-default\" data-dismiss=\"modal\" style=\"font-size:larger;\">Close</button>\n      </div>\n    </div>\n  </div>\n</div>\n\n<p></p>"
Angelo Ziletti's avatar
Angelo Ziletti committed
322
323
                },
                "selectedType": "BeakerDisplay",
Your Name's avatar
Your Name committed
324
                "elapsedTime": 0,
325
                "height": 100
Angelo Ziletti's avatar
Angelo Ziletti committed
326
327
            },
            "evaluatorReader": true,
328
            "lineCount": 147
Angelo Ziletti's avatar
Angelo Ziletti committed
329
        },
330
331
332
333
334
335
336
337
338
339
340
        {
            "id": "codePjdM5h",
            "type": "code",
            "evaluator": "HTML",
            "input": {
                "body": [
                    "<script>",
                    "var run_lasso = function() {",
                    "  $(\"#lasso_result_button\").removeClass(\"active\").addClass(\"disabled\");",
                    "  getFeatures();",
                    "  getOperators();",
341
342
343
344
345
                    "  beaker.max_dim = $(\"#lasso_max_dim_selector\").val();",
                    "  beaker.structures_diff = $(\"#lasso_structures_diff\").val();",
                    "  beaker.n_comb = $(\"#n_comb\").val();",
                    "  beaker.n_sis = $(\"#n_sis\").val();",
                    "  beaker.evaluate(\"calc_cell\"); // evaluate cells with tag \"lasso_cell\"",
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
                    " // view_result()",
                    "};",
                    "var reset_lasso = function(){",
                    "  beaker.evaluate(\"lasso-settings-cell\");",
                    "  var e = document.getElementById('lasso-hidden-settings-div');",
                    "  var b = document.getElementById('lasso-hidden-settings-button');",
                    "  e.style.display = 'block';",
                    "  b.style.display = 'inline';",
                    "};",
                    "var getFeatures = function() {",
                    "    beaker.selected_feature_list = [];",
                    "    $('#lasso_features_select input:checkbox').each(function () {",
                    "        if(this.checked )",
                    "          beaker.selected_feature_list.push(this.value);",
                    "    });",
                    "};",
                    "var getOperators = function() {",
                    "    beaker.allowed_operations = [];",
                    "    $('#lasso_operators_select input:checkbox').each(function () {",
                    "        if(this.checked )",
                    "          beaker.allowed_operations.push(this.value);",
                    "    });",
                    "};  ",
369
                    "",
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
                    "var toggle_settings = function(){",
                    "  var e = document.getElementById('lasso-hidden-settings-div');",
                    "  var b = document.getElementById('lasso-hidden-settings-button');",
                    "  if(e.style.display == 'block'){",
                    "    e.style.display = 'none';",
                    "    b.style.display = 'none';",
                    "  }",
                    "  else{",
                    "    e.style.display = 'block';",
                    "    b.style.display = 'inline';",
                    "  }",
                    "};",
                    "beaker.view_result = function(result_link) {",
                    "//   beaker.evaluate(\"lasso_viewer_result\").then(function(x) {",
                    "    $(\"#lasso_result_button\").attr(\"href\", result_link);",
                    "//   }); ",
                    "  $(\"#lasso_result_button\").removeClass(\"disabled\").addClass(\"active\");",
                    "}",
388
389
390
                    "",
                    "",
                    "",
391
                    "</script>"
392
393
                ],
                "hidden": true
394
395
396
397
398
399
            },
            "output": {
                "state": {},
                "result": {
                    "type": "BeakerDisplay",
                    "innertype": "Html",
400
                    "object": "<script>\nvar beaker = bkHelper.getBeakerObject().beakerObj;\n</script>\n<script>\nvar run_lasso = function() {\n  $(\"#lasso_result_button\").removeClass(\"active\").addClass(\"disabled\");\n  getFeatures();\n  getOperators();\n  beaker.max_dim = $(\"#lasso_max_dim_selector\").val();\n  beaker.structures_diff = $(\"#lasso_structures_diff\").val();\n  beaker.n_comb = $(\"#n_comb\").val();\n  beaker.n_sis = $(\"#n_sis\").val();\n  beaker.evaluate(\"calc_cell\"); // evaluate cells with tag \"lasso_cell\"\n // view_result()\n};\nvar reset_lasso = function(){\n  beaker.evaluate(\"lasso-settings-cell\");\n  var e = document.getElementById('lasso-hidden-settings-div');\n  var b = document.getElementById('lasso-hidden-settings-button');\n  e.style.display = 'block';\n  b.style.display = 'inline';\n};\nvar getFeatures = function() {\n    beaker.selected_feature_list = [];\n    $('#lasso_features_select input:checkbox').each(function () {\n        if(this.checked )\n          beaker.selected_feature_list.push(this.value);\n    });\n};\nvar getOperators = function() {\n    beaker.allowed_operations = [];\n    $('#lasso_operators_select input:checkbox').each(function () {\n        if(this.checked )\n          beaker.allowed_operations.push(this.value);\n    });\n};  \n\nvar toggle_settings = function(){\n  var e = document.getElementById('lasso-hidden-settings-div');\n  var b = document.getElementById('lasso-hidden-settings-button');\n  if(e.style.display == 'block'){\n    e.style.display = 'none';\n    b.style.display = 'none';\n  }\n  else{\n    e.style.display = 'block';\n    b.style.display = 'inline';\n  }\n};\nbeaker.view_result = function(result_link) {\n//   beaker.evaluate(\"lasso_viewer_result\").then(function(x) {\n    $(\"#lasso_result_button\").attr(\"href\", result_link);\n//   }); \n  $(\"#lasso_result_button\").removeClass(\"disabled\").addClass(\"active\");\n}\n\n\n\n</script>"
401
402
403
404
405
406
                },
                "selectedType": "BeakerDisplay",
                "elapsedTime": 0,
                "height": 50
            },
            "evaluatorReader": true,
407
            "lineCount": 56
408
        },
Angelo Ziletti's avatar
Angelo Ziletti committed
409
410
411
412
413
414
415
        {
            "id": "lasso-settings-cell",
            "type": "code",
            "evaluator": "HTML",
            "input": {
                "body": [
                    "<style type=\"text/css\">",
416
417
418
                    "  .lasso_control{",
                    "    margin-left: 10px;",
                    "  }",
Angelo Ziletti's avatar
Angelo Ziletti committed
419
                    "</style>",
420
                    "<div class=\"lasso_control\" id=\"lasso-hidden-settings-div\"> ",
Angelo Ziletti's avatar
Angelo Ziletti committed
421
422
423
424
425
                    "  <div class=\"row\"> <!-- Start of third row-->",
                    "  <p class=\"lasso_selection_description\"><b>Relative stability (energy difference between two structures): </b> ",
                    "  <select id='lasso_structures_diff'>",
                    "    <option value=\"0\" >RS-ZB</option>",
                    "    <option value=\"1\">CsCl-ZB</option>",
Your Name's avatar
Your Name committed
426
427
                    "    <option value=\"2\">NiAs-ZB</option>",
                    "    <option value=\"3\">CrB-ZB</option>",
Angelo Ziletti's avatar
Angelo Ziletti committed
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
                    "  </select> </p>",
                    "  </div><!-- End of row--> ",
                    "  ",
                    "  ",
                    "  ",
                    "  <div class=\"row\">",
                    "    <p class=\"lasso_selection_description\"><b>Primary features </b>",
                    "  (hover the mouse",
                    "pointer over the feature names to see a full description):</p>",
                    "    <form id=\"lasso_features_select\">",
                    "      <div class=\"lasso_form_group\">",
                    "         <label class =\"col-xs-4 col-md-4 col-lg-3\"> <input type=\"checkbox\" value=\"atomic_ionization_potential\" CHECKED > <span title=\"Atomic ionization potential\"><i>IP</i> </span></label>",
                    "         <label class =\"col-xs-4 col-md-4 col-lg-3\"> <input type=\"checkbox\" value=\"atomic_electron_affinity\" CHECKED > <span title=\"Atomic electron affinity\"> <i>EA</i></span></label>",
                    "         <label class =\"col-xs-4 col-md-4 col-lg-3\"> <input type=\"checkbox\" value=\"atomic_rs_max\" CHECKED > <span title=\"Radius at which the radial probability density of the valence s orbital is maximum\"> <i>r</i><sub>s</sub>  </span> </label>",
                    "         <label class =\"col-xs-4 col-md-4 col-lg-3\"> <input type=\"checkbox\" value=\"atomic_rp_max\" CHECKED > <span title=\"Radius at which the radial probability density of the valence p orbital is maximum\"> <i>r</i><sub>p</sub>  </span> </label>",
                    "         <label class =\"col-xs-4 col-md-4 col-lg-3\"> <input type=\"checkbox\" value=\"atomic_rd_max\" CHECKED > <span title=\"Radius at which the radial probability density of the valence d orbital is maximum\"> <i>r</i><sub>d</sub>  </span> </label>",
                    "         <label class =\"col-xs-4 col-md-4 col-lg-3\"> <input type=\"checkbox\" value=\"atomic_number\" > <span title=\"Atomic number\"> <i>Z</i>  </span> </label>",
                    "         <label class =\"col-xs-4 col-md-4 col-lg-3\"> <input type=\"checkbox\" value=\"period\" > <span title=\"Period (in the periodic table)\"> <i>n</i> <sub>period</sub>  </span> </label>",
                    "         <label class =\"col-xs-4 col-md-4 col-lg-3\"> <input type=\"checkbox\" value=\"atomic_r_by_2_dimer\" > <span title=\"Bond length of atomA-atomA dimer\"> <i>d</i> <sup>AA</sup> </span> </label>",
                    "",
                    "        ",
                    "      </div>",
                    "    </form>",
                    "  </div>  <!-- End of row-->",
                    "  <div class=\"row\"> <!-- Start of second row-->",
                    "    <p class=\"lasso_selection_description\"><b>Allowed operations:</b> <br>",
Your Name's avatar
Your Name committed
454
                    "  Given features x and y, apply these operations for feature space construction:</p>",
Angelo Ziletti's avatar
Angelo Ziletti committed
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
                    "    <form id=\"lasso_operators_select\">",
                    "      <div class=\"lasso_form_group\">",
                    "        <label class =\"col-xs-4 col-md-4 col-lg-1\"> <input type=\"checkbox\" value=\"+\" CHECKED > x+y  </label>",
                    "        <label class =\"col-xs-4 col-md-4 col-lg-1\"> <input type=\"checkbox\" value=\"-\" > x-y  </label>",
                    "        <label class =\"col-xs-4 col-md-4 col-lg-1\"> <input type=\"checkbox\" value=\"|-|\" CHECKED > |x-y|  </label>",
                    "        <label class =\"col-xs-4 col-md-4 col-lg-1\"> <input type=\"checkbox\" value=\"*\" > x &middot y  </label>",
                    "        <label class =\"col-xs-4 col-md-4 col-lg-1\"> <input type=\"checkbox\" value=\"/\" CHECKED > x/y  </label>",
                    "        <label class =\"col-xs-4 col-md-4 col-lg-1\"> <input type=\"checkbox\" value=\"^-1\" > x^(-1)  </label>",
                    "        <label class =\"col-xs-4 col-md-4 col-lg-1\"> <input type=\"checkbox\" value=\"^2\" CHECKED > x^2  </label>",
                    "        <label class =\"col-xs-4 col-md-4 col-lg-1\"> <input type=\"checkbox\" value=\"^3\" > x^3  </label>",
                    "        <label class =\"col-xs-4 col-md-4 col-lg-1\"> <input type=\"checkbox\" value=\"sqrt\" > &radic;<span style=\"text-decoration: overline\">x</span>  </label>",
                    "        <label class =\"col-xs-4 col-md-4 col-lg-1\"> <input type=\"checkbox\" value=\"exp\" CHECKED > exp(x)  </label>",
                    "        <label class =\"col-xs-4 col-md-4 col-lg-1\"> <input type=\"checkbox\" value=\"exp-\" > exp(-x)  </label>",
                    "        <label class =\"col-xs-4 col-md-4 col-lg-1\"> <input type=\"checkbox\" value=\"log\" > log(x)  </label>",
                    "        <label class =\"col-xs-4 col-md-4 col-lg-1\"> <input type=\"checkbox\" value=\"SCD\" >  <span title=\"Standard Cauchy distribution\"> SCD  </span> </label>",
                    "      </div>",
                    "    </form>",
                    "  </div>  <!-- End of row-->",
                    "  <div class=\"row\"> <!-- Start of third row-->",
                    "    <p class=\"lasso_selection_description\"><b>Number of iterations for the construction for the feature space: </b> ",
                    "  <select id='n_comb'>",
                    "    <option value=\"1\" > 1</option>",
                    "    <option value=\"2 \" selected=\"selected\"> 2</option>",
Your Name's avatar
Your Name committed
478
                    "    <option value=\"3\" > 3</option>",
Angelo Ziletti's avatar
Angelo Ziletti committed
479
                    "  </select> ",
Your Name's avatar
Your Name committed
480
                    "      <br> The required computational resources scale exponentially with the <b>Number of iterations for the construction for the feature space</b>.</p>",
Angelo Ziletti's avatar
Angelo Ziletti committed
481
482
483
484
485
486
487
488
489
490
491
492
493
                    "   ",
                    "  <p class=\"lasso_selection_description\"><b>Optimal descriptor maximum dimension (number of SIS iterations): </b> ",
                    "  <select id='lasso_max_dim_selector'>",
                    "    <option value=\"2\" > 2D</option>",
                    "    <option value=\"3\" > 3D</option>",
                    "    <option value=\"4\" > 4D</option>",
                    "    <option value=\"5\" > 5D</option>",
                    "  </select> </p>",
                    "  <p class=\"lasso_selection_description\"><b>Number of collected features per SIS iteration: </b> ",
                    "  <input type=\"number\" name=\"quantity\" id=\"n_sis\" min=\"1\" max=\"1658\" value=\"10\" step=\"100\"> </p>",
                    "",
                    "  </div><!-- End of row-->",
                    "  <div class=\"row\"> <!-- Start of forth row-->",
494
                    "  <p class=\"lasso_selection_description\"><b>Units of measurement: </b>",
Angelo Ziletti's avatar
Angelo Ziletti committed
495
496
497
498
499
500
501
502
503
504
505
506
507
                    "  <select id='units_select'>",
                    "    <option value=\"eV_angstrom\" > [energy]=eV;&nbsp;&nbsp;[length]=angstrom</option>",
                    "    <option value=\"kcal/mol_angstrom\" > [energy]=kcal/mol;&nbsp;&nbsp;[length]=angstrom</option>",
                    "  </select> </p>",
                    "  </div><!-- End of row-->",
                    "<!-- <span title=''> <img src=\"http://images.clipartpanda.com/question-purzen_Icon_with_question_mark_Vector_Clipart.png\" style=\"height: 30px; width: 30px;\"> </span> -->",
                    "<!--   <button class=\"btn btn-default\" onclick='run_lasso()'>RUN LASSO+L0</button> -->",
                    "<!--   <button class=\"btn btn-default\" onclick='reset_lasso()'>RESET</button> -->",
                    "<!--   <label title=\"This button becomes active when the",
                    "run is finished. By clicking it, an interactive plot of the first 2",
                    "dimensions of the optimized descriptor will be opened\"> ",
                    "  <a href=\"#\" target=\"_blank\" class=\"btn btn-primary disabled\" id=\"lasso_result_button\" >View interactive 2D scatter plot</a> </label> -->",
                    "</div>"
508
509
                ],
                "hidden": true
Angelo Ziletti's avatar
Angelo Ziletti committed
510
511
512
513
514
515
            },
            "output": {
                "state": {},
                "result": {
                    "type": "BeakerDisplay",
                    "innertype": "Html",
516
                    "object": "<script>\nvar beaker = bkHelper.getBeakerObject().beakerObj;\n</script>\n<style type=\"text/css\">\n  .lasso_control{\n    margin-left: 10px;\n  }\n</style>\n<div class=\"lasso_control\" id=\"lasso-hidden-settings-div\"> \n  <div class=\"row\"> <!-- Start of third row-->\n  <p class=\"lasso_selection_description\"><b>Relative stability (energy difference between two structures): </b> \n  <select id=\"lasso_structures_diff\">\n    <option value=\"0\">RS-ZB</option>\n    <option value=\"1\">CsCl-ZB</option>\n    <option value=\"2\">NiAs-ZB</option>\n    <option value=\"3\">CrB-ZB</option>\n  </select> </p>\n  </div><!-- End of row--> \n  \n  \n  \n  <div class=\"row\">\n    <p class=\"lasso_selection_description\"><b>Primary features </b>\n  (hover the mouse\npointer over the feature names to see a full description):</p>\n    <form id=\"lasso_features_select\">\n      <div class=\"lasso_form_group\">\n         <label class=\"col-xs-4 col-md-4 col-lg-3\"> <input value=\"atomic_ionization_potential\" checked=\"\" type=\"checkbox\"> <span title=\"Atomic ionization potential\"><i>IP</i> </span></label>\n         <label class=\"col-xs-4 col-md-4 col-lg-3\"> <input value=\"atomic_electron_affinity\" checked=\"\" type=\"checkbox\"> <span title=\"Atomic electron affinity\"> <i>EA</i></span></label>\n         <label class=\"col-xs-4 col-md-4 col-lg-3\"> <input value=\"atomic_rs_max\" checked=\"\" type=\"checkbox\"> <span title=\"Radius at which the radial probability density of the valence s orbital is maximum\"> <i>r</i><sub>s</sub>  </span> </label>\n         <label class=\"col-xs-4 col-md-4 col-lg-3\"> <input value=\"atomic_rp_max\" checked=\"\" type=\"checkbox\"> <span title=\"Radius at which the radial probability density of the valence p orbital is maximum\"> <i>r</i><sub>p</sub>  </span> </label>\n         <label class=\"col-xs-4 col-md-4 col-lg-3\"> <input value=\"atomic_rd_max\" checked=\"\" type=\"checkbox\"> <span title=\"Radius at which the radial probability density of the valence d orbital is maximum\"> <i>r</i><sub>d</sub>  </span> </label>\n         <label class=\"col-xs-4 col-md-4 col-lg-3\"> <input value=\"atomic_number\" type=\"checkbox\"> <span title=\"Atomic number\"> <i>Z</i>  </span> </label>\n         <label class=\"col-xs-4 col-md-4 col-lg-3\"> <input value=\"period\" type=\"checkbox\"> <span title=\"Period (in the periodic table)\"> <i>n</i> <sub>period</sub>  </span> </label>\n         <label class=\"col-xs-4 col-md-4 col-lg-3\"> <input value=\"atomic_r_by_2_dimer\" type=\"checkbox\"> <span title=\"Bond length of atomA-atomA dimer\"> <i>d</i> <sup>AA</sup> </span> </label>\n\n        \n      </div>\n    </form>\n  </div>  <!-- End of row-->\n  <div class=\"row\"> <!-- Start of second row-->\n    <p class=\"lasso_selection_description\"><b>Allowed operations:</b> <br>\n  Given features x and y, apply these operations for feature space construction:</p>\n    <form id=\"lasso_operators_select\">\n      <div class=\"lasso_form_group\">\n        <label class=\"col-xs-4 col-md-4 col-lg-1\"> <input value=\"+\" checked=\"\" type=\"checkbox\"> x+y  </label>\n        <label class=\"col-xs-4 col-md-4 col-lg-1\"> <input value=\"-\" type=\"checkbox\"> x-y  </label>\n        <label class=\"col-xs-4 col-md-4 col-lg-1\"> <input value=\"|-|\" checked=\"\" type=\"checkbox\"> |x-y|  </label>\n        <label class=\"col-xs-4 col-md-4 col-lg-1\"> <input value=\"*\" type=\"checkbox\"> x · y  </label>\n        <label class=\"col-xs-4 col-md-4 col-lg-1\"> <input value=\"/\" checked=\"\" type=\"checkbox\"> x/y  </label>\n        <label class=\"col-xs-4 col-md-4 col-lg-1\"> <input value=\"^-1\" type=\"checkbox\"> x^(-1)  </label>\n        <label class=\"col-xs-4 col-md-4 col-lg-1\"> <input value=\"^2\" checked=\"\" type=\"checkbox\"> x^2  </label>\n        <label class=\"col-xs-4 col-md-4 col-lg-1\"> <input value=\"^3\" type=\"checkbox\"> x^3  </label>\n        <label class=\"col-xs-4 col-md-4 col-lg-1\"> <input value=\"sqrt\" type=\"checkbox\"> √<span style=\"text-decoration: overline\">x</span>  </label>\n        <label class=\"col-xs-4 col-md-4 col-lg-1\"> <input value=\"exp\" checked=\"\" type=\"checkbox\"> exp(x)  </label>\n        <label class=\"col-xs-4 col-md-4 col-lg-1\"> <input value=\"exp-\" type=\"checkbox\"> exp(-x)  </label>\n        <label class=\"col-xs-4 col-md-4 col-lg-1\"> <input value=\"log\" type=\"checkbox\"> log(x)  </label>\n        <label class=\"col-xs-4 col-md-4 col-lg-1\"> <input value=\"SCD\" type=\"checkbox\">  <span title=\"Standard Cauchy distribution\"> SCD  </span> </label>\n      </div>\n    </form>\n  </div>  <!-- End of row-->\n  <div class=\"row\"> <!-- Start of third row-->\n    <p class=\"lasso_selection_description\"><b>Number of iterations for the construction for the feature space: </b> \n  <select id=\"n_comb\">\n    <option value=\"1\"> 1</option>\n    <option value=\"2 \" selected=\"selected\"> 2</option>\n    <option value=\"3\"> 3</option>\n  </select> \n      <br> The required computational resources scale exponentially with the <b>Number of iterations for the construction for the feature space</b>.</p>\n   \n  <p class=\"lasso_selection_description\"><b>Optimal descriptor maximum dimension (number of SIS iterations): </b> \n  <select id=\"lasso_max_dim_selector\">\n    <option value=\"2\"> 2D</option>\n    <option value=\"3\"> 3D</option>\n    <option value=\"4\"> 4D</option>\n    <option value=\"5\"> 5D</option>\n  </select> </p>\n  <p class=\"lasso_selection_description\"><b>Number of collected features per SIS iteration: </b> \n  <input name=\"quantity\" id=\"n_sis\" min=\"1\" max=\"1658\" value=\"10\" step=\"100\" type=\"number\"> </p>\n\n  </div><!-- End of row-->\n  <div class=\"row\"> <!-- Start of forth row-->\n  <p class=\"lasso_selection_description\"><b>Units of measurement: </b>\n  <select id=\"units_select\">\n    <option value=\"eV_angstrom\"> [energy]=eV;&nbsp;&nbsp;[length]=angstrom</option>\n    <option value=\"kcal/mol_angstrom\"> [energy]=kcal/mol;&nbsp;&nbsp;[length]=angstrom</option>\n  </select> </p>\n  </div><!-- End of row-->\n<!-- <span title=''> <img src=\"http://images.clipartpanda.com/question-purzen_Icon_with_question_mark_Vector_Clipart.png\" style=\"height: 30px; width: 30px;\"> </span> -->\n<!--   <button class=\"btn btn-default\" onclick='run_lasso()'>RUN LASSO+L0</button> -->\n<!--   <button class=\"btn btn-default\" onclick='reset_lasso()'>RESET</button> -->\n<!--   <label title=\"This button becomes active when the\nrun is finished. By clicking it, an interactive plot of the first 2\ndimensions of the optimized descriptor will be opened\"> \n  <a href=\"#\" target=\"_blank\" class=\"btn btn-primary disabled\" id=\"lasso_result_button\" >View interactive 2D scatter plot</a> </label> -->\n</div>"
Angelo Ziletti's avatar
Angelo Ziletti committed
517
518
                },
                "selectedType": "BeakerDisplay",
Your Name's avatar
Your Name committed
519
                "elapsedTime": 0,
520
                "height": 552
Angelo Ziletti's avatar
Angelo Ziletti committed
521
522
            },
            "evaluatorReader": true,
523
            "lineCount": 93,
Angelo Ziletti's avatar
Angelo Ziletti committed
524
525
526
            "tags": "lasso-settings"
        },
        {
527
            "id": "code4TqlnK",
Angelo Ziletti's avatar
Angelo Ziletti committed
528
529
530
531
532
533
            "type": "code",
            "evaluator": "HTML",
            "input": {
                "body": [
                    "<div class=\"lasso_control\">",
                    "",
534
535
536
537
538
                    "<button type=\"button\" class=\"btn btn-info\" style=\"font-size:larger; color: #ffffff; font-weight: bold;\" onclick='run_lasso()'>RUN</button>",
                    "",
                    "<button type=\"button\" class=\"btn btn-default\" style=\"font-size:larger;\" onclick='reset_lasso()' >Reset</button>",
                    "",
                    "<label title=\"This button becomes active when the",
Angelo Ziletti's avatar
Angelo Ziletti committed
539
540
                    "run is finished. By clicking it, an interactive plot of the first 2",
                    "dimensions of the optimized descriptor will be opened\"> ",
541
542
                    "<a href=\"#\" target=\"_blank\" class=\"btn btn-primary disabled\" style=\"font-size:larger;\" id=\"lasso_result_button\" >View interactive 2D scatter plot</a> </label>",
                    "  </div>"
543
544
                ],
                "hidden": true
Angelo Ziletti's avatar
Angelo Ziletti committed
545
546
547
548
549
550
            },
            "output": {
                "state": {},
                "result": {
                    "type": "BeakerDisplay",
                    "innertype": "Html",
551
                    "object": "<script>\nvar beaker = bkHelper.getBeakerObject().beakerObj;\n</script>\n<div class=\"lasso_control\">\n\n<button type=\"button\" class=\"btn btn-info\" style=\"font-size:larger; color: #ffffff; font-weight: bold;\" onclick=\"run_lasso()\">RUN</button>\n\n<button type=\"button\" class=\"btn btn-default\" style=\"font-size:larger;\" onclick=\"reset_lasso()\">Reset</button>\n\n<label title=\"This button becomes active when the\nrun is finished. By clicking it, an interactive plot of the first 2\ndimensions of the optimized descriptor will be opened\"> \n<a href=\"#\" target=\"_blank\" class=\"btn btn-primary disabled\" style=\"font-size:larger;\" id=\"lasso_result_button\">View interactive 2D scatter plot</a> </label>\n  </div>"
Angelo Ziletti's avatar
Angelo Ziletti committed
552
553
554
                },
                "selectedType": "BeakerDisplay",
                "elapsedTime": 0,
555
                "height": 83
Angelo Ziletti's avatar
Angelo Ziletti committed
556
557
            },
            "evaluatorReader": true,
558
            "lineCount": 11
Angelo Ziletti's avatar
Angelo Ziletti committed
559
        },
560
561
562
563
564
565
        {
            "id": "code0sZSEt",
            "type": "code",
            "evaluator": "HTML",
            "input": {
                "body": [
566
567
                    "<p style=\"text-align: left; color: #aa3311; font-weight: 900; font-size: 20pt;\"> Note</p>",
                    "<p style=\"text-align: left; color: #aa3311; font-weight: 400; font-size: 16pt;\"> You will automatically generate atomic descriptors, select an <i>optimal combination</i> among <i>millions or billions</i> of candidates, and produce a <i>fully-interactive plot</i> of your results. <br>",
568
569
570
571
572
573
574
575
576
577
                    "With the Default settings you will reproduce our publication cited above.  <br>",
                    "Please understand that the whole procedure may take a few moments.</p>"
                ],
                "hidden": true
            },
            "output": {
                "state": {},
                "result": {
                    "type": "BeakerDisplay",
                    "innertype": "Html",
578
                    "object": "<script>\nvar beaker = bkHelper.getBeakerObject().beakerObj;\n</script>\n<p style=\"text-align: left; color: #aa3311; font-weight: 900; font-size: 20pt;\"> Note</p>\n<p style=\"text-align: left; color: #aa3311; font-weight: 400; font-size: 16pt;\"> You will automatically generate atomic descriptors, select an <i>optimal combination</i> among <i>millions or billions</i> of candidates, and produce a <i>fully-interactive plot</i> of your results. <br>\nWith the Default settings you will reproduce our publication cited above.  <br>\nPlease understand that the whole procedure may take a few moments.</p>"
579
580
581
                },
                "selectedType": "BeakerDisplay",
                "elapsedTime": 0,
582
                "height": 261
583
584
585
586
            },
            "evaluatorReader": true,
            "lineCount": 4
        },
Your Name's avatar
Your Name committed
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
        {
            "id": "codemBpYu9",
            "type": "code",
            "evaluator": "IPython",
            "input": {
                "body": [
                    "import random",
                    "import string",
                    "import os",
                    "import __builtin__",
                    "__builtin__.isBeaker = True",
                    "",
                    "dict_feat = {",
                    "    'period':['period(A)','period(B)'],",
                    "    'atomic_number':['Z(A)', 'Z(B)'],",
                    "    'atomic_r_by_2_dimer':['d(A)', 'd(B)'],",
                    "    'atomic_ionization_potential':['IP(A)', 'IP(B)'],",
                    "    'atomic_electron_affinity':['EA(A)', 'EA(B)'],",
                    "    'atomic_rs_max':['r_s(A)', 'r_s(B)'],",
                    "    'atomic_rp_max':['r_p(A)', 'r_p(B)'],",
                    "    'atomic_rd_max':['r_d(A)', 'r_d(B)']",
                    "}",
                    "",
                    "feature_list = [f for f_li in beaker.selected_feature_list for f in dict_feat[f_li]]",
                    "",
                    "random_name = 'AA_'+''.join(random.SystemRandom().choice(string.ascii_uppercase + string.digits) for _ in range(20))",
Your Name's avatar
Your Name committed
613
                    "'''",
Your Name's avatar
Your Name committed
614
615
616
617
618
619
620
621
622
                    "try:",
                    "    IP = os.environ['IP']",
                    "    ",
                    "except:",
                    "    IP = '172.17.0.42'",
                    "try:",
                    "    PORT = int(os.environ['PORT'])",
                    "except:",
                    "    PORT = 22",
Your Name's avatar
Your Name committed
623
624
625
626
627
628
629
                    "'''    ",
                    "try:",
                    "    IP = os.environ['OPENMPIHOST']  ",
                    "    PORT = int(os.environ['OPENMPIPORT'])",
                    "except:",
                    "    IP = '130.183.207.77'",
                    "    PORT = 9672",
Your Name's avatar
Your Name committed
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
                    "    ",
                    "#rsa key for mpi container",
                    "key_file = '/home/beaker/key.mpi'",
                    "key = \"-----BEGIN RSA PRIVATE KEY-----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\\nyrXaOEY83tm6x/fny5ZaZmk8lNth7bfWywuTMkZLX3fYpWtIeE4=\\n-----END RSA PRIVATE KEY-----\"",
                    "",
                    "d = open(key_file,'w')",
                    "d.write(key)",
                    "d.close()",
                    "    ",
                    "### Settings",
                    "#1) Local paths",
                    "Local_paths = {",
                    "    'local_path' : '/home/beaker/',",
                    "    'SIS_input_folder_name' : random_name,",
                    "}",
                    "",
                    "#2) for ssh connection",
                    "Remote_run = {",
                    "    'mpi_command':'',",
                    "    'remote_path' : '/home/tutorial/',",
650
                    "    'SIS_code_path' : '/home/tutorial/src/',",
Your Name's avatar
Your Name committed
651
652
653
654
655
656
657
658
                    "    'hostname' : IP,",
                    "    'port' : PORT,",
                    "    'username' : 'tutorial',",
                    "    'key_file' : key_file",
                    "}",
                    "",
                    "#3) SIS parameters",
                    "Parameters = {",
659
660
661
662
663
                    "    'rung' :int(beaker.n_comb),",
                    "    'opset' : beaker.allowed_operations,",
                    "    'desc_dim' : int(beaker.max_dim),",
                    "    'subs_sis' : int(beaker.n_sis),",
                    "    'ptype': 'quanti'",
Your Name's avatar
Your Name committed
664
665
666
667
668
669
670
                    "}",
                    "sis_control = {'local_paths':Local_paths, 'remote_run':Remote_run, 'parameters':Parameters}",
                    "",
                    "",
                    "if int(beaker.n_comb)==3:",
                    "    sis_control['remote_run']['mpi_command'] = 'mpirun -np 5'",
                    "",
671
                    "",
Your Name's avatar
Your Name committed
672
673
674
675
676
677
                    ""
                ],
                "hidden": true
            },
            "output": {
                "state": {},
678
                "selectedType": "Results",
Your Name's avatar
Your Name committed
679
                "pluginName": "IPython",
680
681
                "shellId": "62DB60DEBBBE4180B24CAB69D52EE574",
                "elapsedTime": 1617
Your Name's avatar
Your Name committed
682
683
            },
            "evaluatorReader": true,
684
            "lineCount": 80,
Your Name's avatar
Your Name committed
685
686
            "tags": "calc_cell"
        },
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
        {
            "id": "code75Jsw6",
            "type": "code",
            "evaluator": "IPython",
            "input": {
                "body": [
                    "json_list_RS = [ ",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PudDm0on_-EHhn0SHX20l2vdbSQ1x.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Pp4wUDDucIEdS9euDT89Y6xQA_JPq.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Pd5Tx2nPg7dFY-jys9XwKne6OQtKX.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PyukHM_doowQLr1Ipwa8feMxPVmI2.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PHiW0XWZCN8j4FL20b8tZzv7Vz59s.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PnhDURE4i9Q5yUaSUbEmarpPFd-oP.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Phw2RDlr8RJrjY8nb2PfCE6Bf--N0.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PxJnNtspUIcqGhneVuSJKposdVxH_.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Pl7aTuAjyxpsJM7vLAOVHYwJm-QE6.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PvkvzEExTn8uE2HYyp39OAr0XeTVs.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P5q6OPnbkCI9OZnxRMmigkwjECTEe.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Pq_S1pMWXyVEwLQtS_CRQLruINQc7.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PN0Q_OXA7e5yO6EkDKkOpGHM6hyCj.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P49a5P12dU5LYRyFCHIIWWy_T06lE.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Ph7OdXYR4ndMpTcR0zX4mqRoBZpP9.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PAlWHa4oJtvotPEJZkbrlNC_sn0h2.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P-R6dmrIaT8iFyy2ObACxIHGWnNOy.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PKhAdygZBTTTF8uvQjKv1RdaX-cR-.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PKu0vasdF5E6n3C3QydIjCtGOIla4.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PZpgpSkSltbUhJUCSbPqBKkIvQi8v.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PctpEiY3VdEmVYwH7UjqZpiDWZtpM.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PItWNNwGWlKJ12UjZAOfNetX3xlkd.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PrTcNbJ50u8bqAFWGjPJKqnuuEvY7.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PfFPGDGw6-cK5ARIXtsKl496E6A0G.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PeXgyF2iElVtNWSX9xZhroKK8nJJ4.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P7kHL_6prXXdx5_MzMVmwsmStNoc0.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PaMvDXJtsbfDgbdvrFdiFSKpXNYyC.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P9sheCSX6Gol5L-IsCvDlnmT_MEGG.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PSy2hA53Gi7wXfU9SCowqkmFWD2gp.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P51AKUeSNYXrRBK_-uc8y1-bCfUNg.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PaqU_UGMSvVN6niB3zqMYchjsLHRX.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PcyDh6nCotXyohIHh5k1dx5L5D5X9.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PudM2fYFckG7O5R4BJqg04tK_l1bd.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P9Yuhn2S6hqpJ0cf9E9uw5G5bJlzV.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PqmzGiDuYJ-Q8j-KfLDlQBvWb2Gjt.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PCeh79N53GyBSPmZQQJ97G0eAHaDT.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PfgDGZGQLelhbTh9ZtsKqWGFxvhJ9.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PB0yzgD_PWA0LKTKGJ8ZZuD33YEUG.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PAy8gmVjhXEQxzCJ8LOWZakyvudO8.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PxHkLq1KNzXy50hbEPelPan0cCrsH.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PWkXOKoiw0iAE585QkElUZNCYOqYI.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PgemHvDiNrY7gsuhCx0VTL8kPb7AM.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PlIiyctCzbm5lbDOxpwEi3GbORHRD.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PGRvHpDj8bRbzvIL0c9yfOmeZjfah.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PHG50HtPjrXvkxeCITsjzFtq9N4hK.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PZuBrsUzsdX__rAeKn_JQgfX-YGoo.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PshguFKUbvULqOUN80QC-M3xQvrmJ.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PXoBZDFv4BhXvWTO29YBcGBXXu1vS.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PsmYUa8-6qr40jG7XJhUIynL1Ue8b.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P-M1B6jU_t-kPPKkoFU9kZkEbx332.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Pq1Tvh6kPeJ-PO77jXvOsp92PMK4P.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PfA960McVCueQzY_t-TVT0wgbZCC5.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P-eZyP4BB8uo0pdmQIIrat2mhXQBN.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PmenrFglDQWoTWLNvVVobyI3dmkIe.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PoEQrdbxDvcCldS5_cpSOcAS57svB.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PQUYoBu1tULTvysw2jz8XwBnIeewS.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PYOw5h3ttt0tMyUPOvqDPc6yArPTy.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Pzl8jOEFAC45VXxnxMJ7_nf2xS6v2.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PmkSmszyXIzY3yIzTUnkvOCwqNFFg.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P7JW4GQVa_xQ4YKM88F9LFzyVoXke.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PsL8fyWYvrq6V0pE3zTfoNsWAVUd1.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PbVMALFnpGdoEyabKhI_3DtbUX6W7.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PME2sPwrfVW7U0veuObWai6ryPqou.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PSzD2TkeF0Gg9fnlc1cNvyK7NL24E.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PQB49fu8BN3kua7uLKQLlT5dWdHi0.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PzkPWSKWCQ14F1io7eGkOhK7h0O_Q.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P_18Q5thpEagvBD-4tUdeTopJwCTV.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PKmJzuNjx3TVhnGoqyqoWSnwEgjGm.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P7oSkZrV7zs3KG6S8IZyTSE_FmwBQ.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PIwvZmuUIIrtn2HcPLoozMo73I4uz.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P-70iigSqFlM9BO7d8xReToc2yoJL.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PS3i4SxrlnWE9AUgOmy00D3f5dMgE.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PKSpxMXqdSstTt6Es26kroYBYENnq.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P_DFu-YobOdcOb1mfdI22vrtaSQAh.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PZQkSWOat-bIQV5IVle0tBtpUg_u-.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Po4TFqVuLhanZRORPTA7dDA2sdbrg.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PvVLlR_Pq2Ibks3hWK2HOSJ1GgVRY.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PmmsPJ6ouZjFnoIdGfis_3AHs9clP.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PQESlzgesuFywpq09x-vZ0gikcjPf.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PKfJHS4WQGppgde2dACUjMuVoL2sB.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PcEzW227FYLGI2t3jk-gLCgcEZWZe.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P36pL30yblwhze_vHZYZ_cybqeH4V.json'",
                    "]",
                    "",
                    "json_list_ZB = [",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PjGykEyzLOFynTPTNDcycF0GYg1PE.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PRzzJL7OHYeejsIvgfG1ph6BAeS_q.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PNavIaZhgwAeZM0-QhWHe_38iUgEF.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PpxTrTc6NkExiq1nzQkhd3cJ1-yRY.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PVYIDqiD6OslrGDcpUvuqvc0bD8Jr.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PiZTl1-v3bdCUDjxt-w2VxKMGW3-6.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PomJQS9nQ4WsUIr718n6H4YbM0Fi7.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PEC0GOHh7MviqeJkG1qukjk4bALIS.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PNXyczNslCGZT642R9ZFYGvidFvua.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PpyJZtNPyNqX3ofwfNMpvJU_9PEKI.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PA3s37bS9VLUzI5wYL_ntZ6RIM6IJ.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PvEU0OOwFN7eFqiwt9m9S_SmhCJUm.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PsJUIeSLEotoIZk6R54H-G2JWPnQG.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PUT_umVDXGUamLH1R7nkazwKz95dz.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P_rlThO8Jv0C2YIgYKLbCTM1rvfW-.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PyizrsR40QyxopYKKk2jUtl7nElXJ.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PQhb3_h4Bo9e5xjhhTUBY_8uOEtTM.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P0tj3NYHfrit7NB0ewfG-fIjRWuJD.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PlrW3wNN03bq-G8TLkXHpALwSTUUg.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P3hSpXydSB6z3p79OEIOQK6llto1K.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Pa7ltCNBQsk7Owlu0bJnsE8iY-Rmw.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PYeYlDJb7j4qJ9ol38GSM_eYJsiSe.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PX39jEfgLeDPddrkPuTvUfVv4_thl.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PWNXU92VwL7KkuoxItglRiuifcOnk.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PoWlbXJuGJ4-22DclM15L_g44LN3P.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PEYkIqgUpWfoq4Tcsy8_bFVUs9mko.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Pst86UVhV07OfKDhwlp0PNxiMtXki.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PVc9Pn-w-6MEpu41jV4p_keLeM-Yy.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P81vIYtJtOEx4n865B86z-KvUb6hA.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P8BMwwn-g_0Xezs6oK3ay6ZRXIRR-.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P8nQ1bSGP4pyRMOa4i5Uhjpb1Mord.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PCmzvvjhPSzkp_bhkAuDWK375Fs9g.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PhaEAJ72mzGm65KpjGcnVVlFax_l7.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PvXy3VrpadhZLQAwphJE6GVB_0OUp.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P3486jK16L4wlXG0B4v1-csMQ6oJ3.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/POL8lsjGueHjkLb9hMpptti6c8Phg.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PULp85M-UCJ52e4UaGcyeLDmUeq2Z.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Pr6E85ezTMa4WX-GTFoms6w0Rb0hT.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P0e8gRRxOvcJquPDa7SeYFk2OCiFS.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Px8VpfH0LzX99ht06ME-0EsmmrSqe.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PM3KjHYJjTA26va4uYXD8homH7pUm.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P6GMfPCT_Fa40hXkVKpqnygEBt4PG.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Pu9uI6ldU3ZVgwfmy-Um0D7IBxTCK.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PN0ekL4w0k3A5OXacRBScDJ9KlGMf.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P39GmzBY478BzuXrZM-0i2Z-njyb9.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PEhAEeu8aSPA_d3_dHCjTlAi1y09j.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PVshjrYqjAg_8QtgfGW2ABnR-mlIP.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PDjDFM8OWbY0TtHCY-DBYRJmRQ8fO.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PxkyksXrwYuxnJ_wD7qN890rycd67.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PUDiBRLe2pg5Hjvd3kc_20wMbinMI.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PpikjM2BVj1atNlsbkcJzK9TkUIox.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PcYC-NeMnx_goUeYg8PmaNVo0chDc.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PQFhJGR6USZg0MrTttQvXm1IiHIdq.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PGvuYKpzVCcWnf33I4uy8fGyJVxXq.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PV--hzM8rvSS8a6LZBuuW6IPbqvY6.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PHQ9WIyu3N7whYM_ykFZunv5to3l2.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P2_H4gO4T7T7jknE474jzrc1Y4Tjm.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PFs1SxWG79Zqj0jssdOIqUicZk9aH.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PiOIHShEKCjdganj-Sd0MkJaLglGr.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Pn-jKNaG1IM7sKsxBh-ekfl3M3hIa.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P_80H6vlBefw1U3rKFDPPtpJAX1GH.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PdHoVKHCES7XtBpTVk0eihbo0kqmR.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PAzsSjYMU1-CdGulNpG_KzgFlfRrK.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PVlh5JoGn6jHWlE96SKt6eRMYTIVK.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PHfNgOoPEHjzs9iOh900vIUv-GVJl.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PVTUPQyCTvrAWV0DEN_xnPgrBPmM2.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Pws96oc5f7jIltD9Vvqc3svzL4mcW.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PLJBz0uY-AywnUhGMCXMounM-_Af3.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Pkole11VWAOiu91qHeq6lOzIM2Y1Y.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P2R4Ds9DFm8USF_AgHtQnWK1TkQiR.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PxrF4NRKjX9jsmVIocs7uQuLwD_cS.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PMxYGoRCMDXQWrNytWJHc-vUgRKTT.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PK3-3e-av7nkv5AOEwjZyyjkI9Hgy.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PC8N-y0PPPHeAwhkYGyYYI9H1UUHy.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PqWPF7Pn3u9LPGyrxipPfrpfm31zz.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PM_ADyGOaL4e2biSXvxQWrEDM78Z3.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PfGXdJkORwLQ-aX-d9bla7obqtnkt.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PmILc9BsSYjJ9OKH4MkPr0D4LGYGC.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/Py-J0ezaQ_Fdsh_196hT-XgsYNQAs.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/PUJUPZHk2jrE1KVUS7H13mKBH4oVR.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/POIYfYCEIron9yzowfHWhVea-VEFW.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RWApItBGtGUDsfMVlHKqrjUQ4rShT/P_1mfRE8eDZ7zCLQwGT_3n8YC34dE.json'",
                    "]",
                    "",
                    "json_list_CsCl = [",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PIRlbBTaMiNQ1VKhqabDhuqB9IOe4.json',",
Your Name's avatar
Your Name committed
865
866
867
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P3B__zZKVnOmaDBvOs_L14s4wnjHY.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/Pgp_iFetyKfxr7GRYNkG4WoPfswhL.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PXxYjxQSKW1VJ9wMmb1u-jjLO9FGF.json',",
868
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PGboU_7DdiQ5OSNrmrakqPahp-j7a.json',",
Your Name's avatar
Your Name committed
869
870
871
872
873
874
875
876
877
878
879
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/Pm0z-JCdEggnZQsNoEe27pbIMAj7L.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PpNRT28QPEW4ZKgm0j3rpxI2ooQRG.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P2pMxxJvJcuhXqGyfMtVkb_66qbcs.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P2o4_lO-SQz2OEqSFGsS5d8w74zpB.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PxQWzrxTo-ma1RGfL0r5bcdZIPsQ0.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/Pg2GfA754Ig9PHoDokXafaMLztRub.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PscYWBT_tAUMxD2JkgoL1LtUG-wDb.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PA-cUYsCkN5H-9ua4OBzYydK_jcRx.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PPhKvncT-cSOWAbYMJiSm5NVCvnIz.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/Pbxu3z8rweLYJyp1de799L76lA0ac.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PjTRITuvG0JU5e6n88LU5TTN9jwye.json',",
880
881
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PhZezMUnCw-bBengeP28IneJN2-0F.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P18HrEcfryJ8AAVVgO9VGB9O5RfoB.json',",
Your Name's avatar
Your Name committed
882
883
884
885
886
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P1VMBzj56okz74wOcW07jLwKF3Cm1.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P5QFFcNxIzzyaJ7UGVaUfG29L_ekI.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PMHhjns0d9kA_zveXjhtgLbeQ9_bc.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PTTqFWfgIK6yIXKCsqxidYjFPxtBX.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P43rGwurooDLNWmhQoYE0jbo7dH_o.json',",
887
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PKTpOd5uojJYFW0otZD1QMilzWvjP.json',",
Your Name's avatar
Your Name committed
888
889
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PWrseUDhfrb56VggdqHYt4z3tEyCE.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/Pi73S1_KJZVDYQpxV3xzdPxxG_kwN.json',",
890
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/Pg-uEebhs8tbbyvhpyPH1XhOG1BYQ.json',",
Your Name's avatar
Your Name committed
891
892
893
894
895
896
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P_vULVekRZnDXvZrVRZufjrJu14QY.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/Pu-XrMkI2Zzal7tY3c7iYso3uIOzV.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PF0DrL1ldhfgZ672Ed2GCuNavzDIr.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PuaEUEAOF0S3AnRk6CLzFd-W4ibx1.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P_Y9e3QHvFCfl9yUq8qH-jUZMoDGc.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PZdv_e1shtOnFEGJSwDQfCizmGhZS.json',",
897
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PYy2RgZDVewnnkkZ9fREWtpZukLm2.json',",
Your Name's avatar
Your Name committed
898
899
900
901
902
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PKTRIZkIIPsX2EhU-6auRI-JMZ-nw.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/POV16kLfrFBaEMGVHgzkl-_yVdddN.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P5Md7_re4VEnnoSTEd8anio8pz3a2.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P36-nbxTiIV3eFR3HJgDw74yF3wDB.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PQSUMZO2fOt9D6opd-qiWYOlIZ-on.json',",
903
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P1YZwCKtFBWFmPnYQccQoOwiXCd9K.json',",
Your Name's avatar
Your Name committed
904
905
906
907
908
909
910
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PyQJnb7G3hm_3gOp8zEGwXEDjTj4v.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PYHAy2GsdfKTsJLk3wAyKAxgxfyOs.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PvIRNmFS5l-8fr_9x6N0nZIWR8jzy.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PKXmS6JHkYsf8FtNg681vApgu-Erc.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PQfoZNBx_GCgQ7YfyD3S7ZcZsyYbP.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PQRRkYOU_MTiiNHXoILzbpgKmmbA8.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P0RFWJAEUbhqLzgNdKzErW4Izt-YM.json',",
911
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P_C5ytIaEHZSTPvmC4I5odzwQpuBD.json',",
Your Name's avatar
Your Name committed
912
913
914
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PY5anfdrO_36OFXvPhdjpbwjtI4X1.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PMTCY7aPOWy-0JBOQgQC3lONNXBXt.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PH7pLTgzQXypXviKhJnTBdczBLdOJ.json',",
915
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PawPTbSHU4OTB9QvRdfHjCgjBGptD.json',",
Your Name's avatar
Your Name committed
916
917
918
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P4jdJovhkzo0PJpi5IN4Mg0Oe-cAX.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PcB_hXovOBjFx0L6OPkS1y0nOY6KB.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PYLeORn3iTTQKJs7qQ6bfrhkR69AV.json',",
919
920
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PaoP8xeJPeo100rX3JuBxBsDlAq4V.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PHwBj6eF14Y2lPi9j-1EfgyGZSZcV.json',",
Your Name's avatar
Your Name committed
921
922
923
924
925
926
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PXM_X3DgmWnG5JkcBjnaR2Wep_VfJ.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PnjsWAHk0RUtoNdeSXXaI7pcdjrfe.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P_gGA6S_wkFW8FDU1zijcihHoo3vb.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PDn8UC1Y6h_RUAlo3VyIDlKh6HAJB.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PcM9XD-ABaiWI6uzFj5WA0ess91L_.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PHBKo3mCEiQgQrHR_eQTdyDUhzqw7.json',",
927
928
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/Pq-91p0IUm07LPxaSDXvtSX0gbZ_K.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PnEshqvTW-lapxyg_bXQYZkxHOxD4.json',",
Your Name's avatar
Your Name committed
929
930
931
932
933
934
935
936
937
938
939
940
941
942
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PeAMdpHU6rgdvLGXZ08xI0qVu6kAY.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PevCaOzY29IRg3H6qqCTi_PggLnUP.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PJv5p_rvg7Eh2FQjzGQUk_6w7MQL_.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P2qVzIPhrJUCzsc9ppsKdpQW8ikl6.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/Pn-2pwSn1Wpgn6SgMM6Ob9mmPmwl7.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P_lwRYHTdbLNTfv9FII1BVBACyorE.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PP9AadG9tqw-S40mSYEt7vXR8RE-m.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/Pc-u47uUy7U8ehQzuq3lTuCjd0lGA.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PaG-lWNnYge66HarUGTg1rtX7I1F4.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P6IBV-w0aSDnxUZsmUuxSg6xCQZ3O.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PIaIOQ6F7cRff_uAzgXprz021EZGk.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PEZtiUxYWUY4i207toEAVm6H0-xqe.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PHYusuVscXWc8wKQrkOH_KxQ0GNTR.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PiPLNzNyrE57iYNj_dRwoh2kU3I5D.json',",
943
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PCK4m5cbknkLjCo4R8RdGovR_kX-6.json',",
Your Name's avatar
Your Name committed
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/PLmH6G-V3h-7xYecf7NRXStunDxbP.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RdUzye8EKmv-z4LGNHGTSk8S3S1WY/P3HByavMn4jvohNOfczPV2jqcumiv.json'",
                    "]",
                    "",
                    "",
                    "",
                    "json_list_NiAs = [",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/P-dui2TY4ZxiIXEp4SCRZ49HFDNgJ.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PmDh50LpQzS_da22TaE8It_YSj77X.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/P3gAGM5-mfbLO6EJg-qMQB6cBwr6u.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PuCgYgxUJfNqF1JmXsORr4OM2oINW.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/Pp_UJWlpTsNowZd5aBe8FSQ17bz-e.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PvDLR-v2wQV54ybbmFxlfVvMo55i_.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/Pc16cmgCxMGJVfkVyLMch_hka3pr4.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PR-uo-xcVI4wFEQ2iuA-G8JMi7fPN.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/Pt5UafJZR0_wNRw4WDyXaNjLwJ1n2.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PDHg9rVfs-x86OEjd3xtG4TpC8pO1.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PuyaEloJCHIdLU0dGaGx8z1A6ct29.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PQZmsw8Gx5eBJtw4QGtG8ugABWhTX.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PlJ8tz2cijYSfZxRUQyHNg_zca8_C.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PMmOhN6StAnBuYBK4D3XdqHaCYy9Z.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PFpQtJPAYp0SpseuQGgw7aLKiUivG.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/Pc3daHd1pC3L9nzyS-Iq6f0M8cm9T.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PN_Wh0wFHcOlQUgBiDFgmeYeFGsFL.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PmQjRuQvGKLL-csvI73WgRbjBHJbC.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PGllOLC8l-lLm0CzMnKMSSvpD5n_Q.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PHjmxV6JNYJwAn3B9GCnTNhdIxj1z.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PPObwmHCGMOox3-hjo1VgAJbZnW6O.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PvqTVJMeG3YVfjfj436tUAT_txn0i.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/P77v51aHmrMo45DIGqV-iKiYcWxk5.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PfSIi5iq5X6YwT_HkH90wcEOzQYNO.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PgrTwn7a-pHLJRA9evjoWmOJOHkBg.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PMOdnMs8OB6JPkc0CSGDuIwtG2Pjv.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PnMOQn4G6xYtA1FzDVHu6gmh2JLhu.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/P0fB4rWmeCLXwIMji3nVfywWr1MIZ.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PBDX18aKlWcZ4FW_d-sDB2Kc8e1GU.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PiZJIsQKK_G0RXdXl7Shr2-nZPehw.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PPBAyBlXjQ5c13hrgSoP_58fJs7Mt.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/Pg6sh0-wd0SbZUa66m24MpSpH9psJ.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PmXDCgE1pf3rbWcDhtLwup8WYKjwM.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PS1IAWvAiUztTfpnIlrpF3pE8mrhC.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PMaNLiPNAkPV406IjjvU8Bn8-D8lf.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/Pz4zfRNiVjjhVG-BhJxjCOat81RIi.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PdYwOJxkV70Yw6LkPhdo_vUZxBl_d.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PnxnQpROWkdWAhxvs82rVj7zUjCtZ.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/P5GgfAowwH2qlLIsze3d8c-Srrfe-.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/P82IC7hQk8vOfPVQvBss2BUIx52CR.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/P8k-Ht0l4Qlu6u0GEIW8d8Q5rRqFG.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PbqRKCaI9e_0DbSog3SuPVhMA3Wou.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PYga7dCRnhE_l2TrGlHIWN0bxQX3k.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PbPYY6WnJFjc0KBcuaZfZW2UVFg0A.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PrmsxflHOz5iM4Ojqgh0NI5HL2GrL.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/Put2dYTn06rYM7Y2pMTwAslFeon7X.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/Pswr2zKV0lBFiRJAvjzNSwZs7zgej.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PPr89vFU1wKFMqWtWvMR_AxkUvGzB.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/P6ei5Lbls-0G2USQ0gTQZofmiuHLT.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PXkw_GHj3WdwT2mbi5oJ8F4nsP5Tv.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PfqD1k8H9wt6x5fcwD-6roTV__cyU.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PRj6m2mOQONofiDHX6xsCElZVKdlZ.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PtWwuS-Kdml03aciKwmcb3mk1_iXH.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/Pz9GwGP_Low_eguK3Ws1vTMpkh7LH.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PKvl01wW0alep8Cun9Twg1RRRdQd9.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PeupS9TsYmtyuAiborqlHwHubKa2t.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PW9UjhkDcCr68OggbpjKz6GRBgCGS.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/Pgok8pg-gM-VptWfUEQTCTivPtVmu.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PCIiUnQRIQ9F58JgbZykKQhHI01_z.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PtFbkLzE2IMcqOSDDueD8g-RYwuAO.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/Pxz54y1rA37dfnleQvBqsN3YPWDWO.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PpptaCSwyhQYiFL5KgP06OPipC2gp.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/P-w_Gws5_a3GNwtxej-MOj8FZZLXH.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PHLAOlMyML9v5V5hXIY1rKarmMMI-.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/P8LviTZq7ANpRbgOKiDrTWAX08JMV.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PB6fpVr2gPp4l9R3pQ6c5YA2flsxH.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PHooClQaguow2eYR00Gd2f0x9O8e8.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/P2a0GR1fyyxyT_CF1jISaxB3foanK.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PnXDyhc9V13_Qvyw37vJfJHcgoLBj.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/P8nZZeX3oxjD8nOJXUdzo5RpgT-PZ.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PEHiNnHqU0ZM5VZfkfTyXJrrucHj7.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PldyGO0-PQ7VBIQXgb25qVHsDEDHW.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PIa5LjcvJEOMu0Xi3vHqewJwW5qR-.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PF8tubPUCksDCVTpvZgngKpb8kL6t.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/P7mp2Ig1NFgqjD_YjXT4c-5bgDy7G.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/Py7blkZneZAgaAK6keSt-ePL3pmys.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PKpE9ot8R5vjCxeGYSweApq_PWLJb.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PMtHsieZZbVGQHnarL-Qvr3Zeq8Gx.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PwWR77A7fR0TPA99gjoI2xdidmWYs.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/Pzd39xfZyMYzNoM4tpPBRzXHx1hrJ.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/PBApVd7EB_GhBkA6cImMBoGUeW2ic.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RJYwKZ8zrRB52nhBgpdhktPLdch9O/P8HIVywDyUhq2RMDhtyK9__s1NP_1.json'",
                    "]",
                    "",
                    "json_list_CrB = [",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PSC_K9q2hfzDcaAGtFRyn_PLHBloG.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PR1Sj634F0Mv4bL6dHjnEAAJ4JDba.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PhpM0FELdHaTkpj5gTGhhACAJgg8o.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PS8d5rdlysN7445H8p4VuJULiE4MS.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PZ_dlOeubERAUZQ6KQQpQe_dH0F72.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P-QfEiQlgTaMaU3t-H4T6IHRqp3CD.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PTj1LWzzkxrneCrNOJ06QfMgrwD9w.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P1Q5xYiHj_IQ05TrXJAYIPtV1HQWS.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P3v4iODWzRMxVN03GmqzW-e7N4jAT.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PbaSbJF7UU4_sDuB8dcA81CR01C7_.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PCFfAyImacb9zM2nghsj1Bcil5rGq.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/Pm6m3z7y--FLowSmF2LtFRm0UVn6m.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PvZ73PNlvtEqcYtfosOgM4SbN78Lf.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PTT5Ml0N_JRnPdHNO4drn5KmSrw-e.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PngYDIMXxtY2smAhLl2KAQdRmJ-8F.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PqnQiIlkkiVA2Fi50cYbE9SGWUTn-.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PGvyxy9emQVHxE5V2zT0UrNkI_hp2.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PZ-ABniI2ZLHZMlV5HOTwgUT6ryC-.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/R8NxZKmyWQlcHjSkv3A2ukl3l9vcU/P9CEP3FFGaNjBFnVcLRlKp1JQo0qw.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PfPdYofOVMm7oA5nU3nRcKMhKxc2v.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PH34SEPUHaCyxZASB49MvRxzj1VzD.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P5edb9xIGXwj4OrEvXiX8gB987oCl.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PvLSd_9ejLtxJXqDk7pCJvQweHdJr.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PZoZQUKz6m3817hex-REtNAz8d-CL.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PWL3sR53gGpmxIRoy5HAawIGmiPvn.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PUP7kY5_iJ4QM0XWjd7Gpju-DXMk7.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PpC9NPSNfUuedt1f4AlVVJNjJhT-6.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PiDmbXwMvzEpffaB08PvWg2RSJWDa.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P8GzPkERHyO76GajZe-_M7q1o9oWm.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PyyMp0nxGldd0d573c_KWkGDklkb5.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/Pw_WdOT00qyLxpiiFdA6HzamS-KGd.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P6SgskdAJpirHWrBoGjU5cBNA9ExG.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/R8NxZKmyWQlcHjSkv3A2ukl3l9vcU/Pc-X6CASupWziE9sy5A_olIqMHNwR.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P5DUBl5GJxZX67Sbj-hWReqzxFa4v.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PwqUN4-x7bFzgc_lgBXay0YD8p7rC.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PVyhQoRUauLCfQnGnPM5My0RUh8-D.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PyTdvyCFcxXgiOiUQi0v9quzieogr.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PNfWF9Pr3kPSqoFpqvhkDZO1M6msX.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PC1tuFFeyFUNhqKACOVaacZfyqanH.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PSmlcAWl_ZdwM6selq1vY446wljHr.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P5E1rR2O-i5drtBN5qoK9CGm4JuIl.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PpZSVskR8jk7zorA2SWbTqk0aKKu9.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PGYVXnq86HRbq27IP1AW1nV-8M12f.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PGun8u66B_l8MiGSDv4tCw6eRn1yJ.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PJbuZS3QxLYTl2ZLsQmKUXI4ZWmSb.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PZXpqUGkrePauuPSmzqS9FDE_0Mkc.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PqyJwaNrmKqMdUViLqNN0WpvsjJMW.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PikarIiBW3TXN5SQoDwxJy-k34DNz.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PyxC4tQgRreOKcBAqa7pdbNOjiL2k.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PAz9Q4JFakgyhFms7d9VVtQG8x7Qp.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PQgAuljpyqPeRqnR21TJZmZGH9MOU.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PzCelFywZLQNDfooyDoKTiupFujhr.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PrnxjLdYvMn0ckdpD48dn6LSLlFdI.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PkXPLXBR099RxguAJfeKLx78MofMA.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P6WMd8iNYzawbcJf3T7zl1LSygG2o.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PEENX2U9C6-qZA2hHyzbGB8fLVNFw.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P1ZaGUSq5auh7ETETQXCGbfwTc5G0.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P_6n8-42taBOzwHql88Hcj3uMTUcJ.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PFMWeso1xXvtKwNT8-_j9ZKUWcUfF.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PJ_O-2QByC6hNMEIhtt5UxnPfCzuZ.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PCqh0ieDA6A8JtStxEPYl4f0sn7kL.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PQRvCLGtYtFi-iUqylv9gxWKFVZyN.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P1mP2rrgMgFL2Jh8bpsVUhIuA1Abh.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PduJgHCKw3ie13r-y26cr7bHeNC8D.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PZJG4hgqinlpXOh65-J7OcvNPq5qT.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P34o7W2yErNrMo8lYKoUwTQMj6xaC.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PJAurJCC19JJB7kiNQSCegbKMlvgj.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P1Fr3ujHO-bzO60rBUIAJKFE-uH3c.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P0YaujTnEsKIl8S5rgkCpkkDzq5Ex.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P2_ApIqoK5l4CzxBWbmDGaF70Revm.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P0n3dj73sLcDysQCpq6oidBRDcpji.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/Pg1_j-j62C6IHV77CrCsJrpB0HVX1.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P1n6wAD8biF9V2jxg108exDWyimBC.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P4yGX8shyBMvC1NNZEtDcz7qkYo7w.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PS8-Qv7N2kCKONdZmesS1w_Tausnz.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PcbZStKVRBBwjdBQsmIjYkXoiFcdT.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PPNfqOn3-H1S-OkwjTCUA3-2xOE6J.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/P5kIJZn1GeEgprRouYLEkIN-fg3C2.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PIpmcuIBHiIJC4Lqs2R0sv9qyvL-u.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/Pdcr6Adm1jZz-oisSZdbBH1Qwq7nF.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PY7l7lhAx7h9mjAMHhGVBrlNfHUXL.json',",
                    "'/parsed/prod-022/FhiAimsParser2.0.0-2-gf9335c4/RtWXnFiiVtrVb-3TOz9-k-ogZr2-t/PhVVJJOydBaE8d2tVngRXEYiX0520.json'",
                    "]",
                    ""
1120
1121
1122
1123
                ],
                "hidden": true
            },
            "output": {
Your Name's avatar
Your Name committed
1124
                "state": {},
1125
                "selectedType": "BeakerDisplay",
Your Name's avatar
Your Name committed
1126
                "pluginName": "IPython",
1127
1128
                "shellId": "62DB60DEBBBE4180B24CAB69D52EE574",
                "elapsedTime": 519
1129
1130
            },
            "evaluatorReader": true,
Your Name's avatar
Your Name committed
1131
            "lineCount": 427,
1132
1133
            "tags": "calc_cell"
        },
Angelo Ziletti's avatar
Angelo Ziletti committed
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
        {
            "id": "codeLARUgI",
            "type": "code",
            "evaluator": "IPython",
            "input": {
                "body": [
                    "from nomad_sim.wrappers import get_json_list, calc_descriptor ",
                    "from nomad_sim.wrappers import calc_model, calc_embedding, plot",
                    "from nomad_sim.utils_crystals import create_supercell",
                    "from nomad_sim.utils_crystals import create_vacancies",
                    "from nomad_sim.utils_crystals import random_displace_atoms",
                    "from nomad_sim.utils_crystals import substitute_atoms",
                    "from nomad_sim.descriptors import XrayDiffraction",
                    "from nomad_sim.utils_crystals import create_supercell",
                    "",
                    "# hack to change to local/Beaker mode in all files in the packages",
                    "# DEPRECATED",
                    "import __builtin__",
                    "__builtin__.isBeaker = True",
                    "",
                    "import hashlib",
                    "",
                    "import sys, os",
                    "import pandas as pd",
                    "import numpy as np",
                    "import json",
                    "",
                    "",
                    "# define paths",
                    "tmp_folder = '/home/beaker/.beaker/v1/web/tmp/'",
                    "control_file = '/home/beaker/.beaker/v1/web/tmp/control.json'",
                    "data_folder='/parsed/prod-017/FhiAimsParser2.0.0/RWApItBGtGUDsfMVlHKqrjUQ4rShT'",
                    "data_folder='/parsed/prod-017/FhiAimsParser2.0.0/RdUzye8EKmv-z4LGNHGTSk8S3S1WY'",
                    "lookup_file = '/home/beaker/.beaker/v1/web/tmp/lookup.dat'",
1168
1169
1170
                    "collection_path = '/home/beaker/test/nomad_sim/data_zcrs/ExtendedBinaries_Dimers_Atoms_new.json'",
                    "path_to_collection = '/home/beaker/test/nomad_sim/data_zcrs/ExtendedBinaries_Dimers_Atoms_new.json'",
                    "",
Angelo Ziletti's avatar
Angelo Ziletti committed
1171
1172
1173
1174
                    "",
                    "",
                    "",
                    "",
Your Name's avatar
Your Name committed
1175
                    "structures_diff =  ['RS-ZB', 'CsCl-ZB', 'NiAs-ZB', 'CrB-ZB'][int(beaker.structures_diff)]",
Angelo Ziletti's avatar
Angelo Ziletti committed
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
                    " ",
                    "if structures_diff == 'RS-ZB':",
                    "    spacegroup_tuples = [(225, 221), (216, 227)]",
                    "    json_list = json_list_RS + json_list_ZB",
                    "    legend_title='Reference E(RS)-E(ZB)'",
                    "    target_name='E(RS)-E(ZB)'",
                    "elif structures_diff == 'CsCl-ZB':",
                    "    spacegroup_tuples = [(229, 221), (216, 227)]",
                    "    json_list = json_list_CsCl + json_list_ZB",
                    "    legend_title='Reference E(CsCl)-E(ZB)'",
                    "    target_name='E(CsCl)-E(ZB)'",
Your Name's avatar
Your Name committed
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
                    "elif structures_diff == 'NiAs-ZB':",
                    "    spacegroup_tuples = [(194, 1), (216, 227)]",
                    "    json_list = json_list_NiAs + json_list_ZB",
                    "    legend_title='Reference E(NiAs)-E(ZB)'",
                    "    target_name='E(NiAs)-E(ZB)'",
                    "elif structures_diff == 'CrB-ZB':",
                    "    spacegroup_tuples = [(63, 139), (216, 227)]",
                    "    json_list = json_list_CrB + json_list_ZB",
                    "    legend_title='Reference E(CrB)-E(ZB)'",
                    "    target_name='E(CrB)-E(ZB)'",
Angelo Ziletti's avatar
Angelo Ziletti committed
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
                    "    ",
                    "if beaker.units == 'eV_angstrom':",
                    "    energy_unit = 'eV'",
                    "    length_unit = 'angstrom'",
                    "elif beaker.units == 'J_m':",
                    "    energy_unit = 'J'",
                    "    length_unit = 'm'",
                    "elif beaker.units == 'kcal/mol_angstrom':",
                    "    energy_unit = 'kcal/mol'",
                    "    length_unit = 'angstrom'",
                    "",
                    "operations_on_structure = [(create_supercell, {'replicas': [3, 3, 3]})]",
                    "op_list = np.zeros(len(json_list))",
                    "kwargs = {'path_to_collection': path_to_collection,",
                    "          'feature_order_by': 'atomic_mulliken_electronegativity',",
                    "          'energy_unit': energy_unit,",
                    "          'length_unit': length_unit}",
                    "",
                    "",
                    "descriptor = calc_descriptor(",
                    "    desc_type='atomic_features',",
                    "    selected_feature_list=beaker.selected_feature_list,",
                    "    op_list=op_list,",
                    "    operations_on_structure=operations_on_structure,",
                    "    json_list=json_list, tmp_folder=tmp_folder,",
                    "    spacegroup_tuples=spacegroup_tuples,",
Your Name's avatar
Your Name committed
1223
                    "    take_first=False,",
Angelo Ziletti's avatar
Angelo Ziletti committed
1224
1225
1226
1227
1228
1229
1230
                    "    **kwargs)",
                    ""
                ],
                "hidden": true
            },
            "output": {
                "state": {},
1231
                "selectedType": "BeakerDisplay",
Angelo Ziletti's avatar
Angelo Ziletti committed
1232
                "pluginName": "IPython",
1233
1234
                "shellId": "62DB60DEBBBE4180B24CAB69D52EE574",
                "elapsedTime": 6228,
Your Name's avatar
Your Name committed
1235
                "height": 1206
Angelo Ziletti's avatar
Angelo Ziletti committed
1236
1237
            },
            "evaluatorReader": true,
1238
            "lineCount": 86,
Angelo Ziletti's avatar
Angelo Ziletti committed
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
            "tags": "calc_cell"
        },
        {
            "id": "codeo2yP7p",
            "type": "code",
            "evaluator": "IPython",
            "input": {
                "body": [
                    "",
                    "calc_model(method='SIS', desc_type='atomic_features',",
                    "    sis_control=sis_control, allowed_operations = ['+','-','/','|-|','exp','^2'],",
                    "    tmp_folder=tmp_folder, lookup_file=lookup_file, control_file=control_file,",
1251
                    "    energy_unit=energy_unit, length_unit=length_unit)"
Angelo Ziletti's avatar
Angelo Ziletti committed
1252
1253
1254
1255
1256
                ],
                "hidden": true
            },
            "output": {
                "state": {},
1257
                "selectedType": "BeakerDisplay",
Angelo Ziletti's avatar
Angelo Ziletti committed
1258
                "pluginName": "IPython",
1259
1260
                "shellId": "62DB60DEBBBE4180B24CAB69D52EE574",
                "elapsedTime": 1336,
Your Name's avatar
Your Name committed
1261
                "height": 56
Angelo Ziletti's avatar
Angelo Ziletti committed
1262
1263
            },
            "evaluatorReader": true,
1264
            "lineCount": 5,
Angelo Ziletti's avatar
Angelo Ziletti committed
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
            "tags": "calc_cell"
        },
        {
            "id": "code7NKF5Q",
            "type": "code",
            "evaluator": "IPython",
            "input": {
                "body": [
                    "parameter_list = beaker.selected_feature_list",
                    "parameter_list.append(beaker.allowed_operations)",
                    "name_html_page = hashlib.sha224(str(parameter_list)).hexdigest()[:16]",
                    "",
                    "",
                    "json_list, frame_list, x_list, y_list, target_list, target_pred_list = get_json_list(method='file', data_folder=data_folder,",
                    "    path_to_file=lookup_file, drop_duplicates=False, displace_duplicates=True, predicted_value=True)",
                    "beaker.viewer_result = name_html_page",
                    "",
                    "",
                    "plot_result = plot(name=name_html_page, json_list=json_list, frames='list', frame_list=frame_list, ",
                    "    file_format='NOMAD', clustering_x_list=x_list, clustering_y_list=y_list, target_list=target_list,",
                    "    target_unit=energy_unit, legend_title=legend_title, target_name=target_name,",
                    "    target_pred_list=target_pred_list,",
                    "    plot_title='SIS+L0 structure map',",
                    "    clustering_point_size=12, tmp_folder=tmp_folder, control_file=control_file,",
                    "    op_list=op_list, operations_on_structure=operations_on_structure)"
                ],
                "hidden": true
            },
            "output": {
                "state": {},
1295
                "selectedType": "BeakerDisplay",
Your Name's avatar
Your Name committed
1296
                "height": 56,
Angelo Ziletti's avatar
Angelo Ziletti committed
1297
                "pluginName": "IPython",
1298
1299
                "shellId": "62DB60DEBBBE4180B24CAB69D52EE574",
                "elapsedTime": 4949
Angelo Ziletti's avatar
Angelo Ziletti committed
1300
1301
1302
1303
1304
            },
            "evaluatorReader": true,
            "lineCount": 17,
            "tags": "calc_cell"
        },
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
        {
            "id": "codeSiTCyt",
            "type": "code",
            "evaluator": "HTML",
            "input": {
                "body": [
                    "<h3 style=\"margin-top: 0;\">Feedback</h3>",
                    "<p>Want to give feedback?<br /><br />",
                    " <a target=\"_blank\" href=\"https://nomad-forum.rz-berlin.mpg.de\" class=\"btn btn-primary\" style=\"font-size: larger\">Send your feedback to the analytics-toolkit forum</a>",
                    "</p>",
                    "<p>Your comments are invaluable in helping us to provide a user-friendly experience for all!<p>"
                ],
                "hidden": true
            },
            "output": {
                "state": {},
                "selectedType": "BeakerDisplay",
                "elapsedTime": 0,
                "height": 245
            },
            "evaluatorReader": true,
            "lineCount": 5
        },
Angelo Ziletti's avatar
Angelo Ziletti committed
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
        {
            "id": "codeoorGVf",
            "type": "code",
            "evaluator": "JavaScript",
            "input": {
                "body": [
                    "var result_link = '/user/tmp/' + beaker.viewer_result + '.html';",
                    "beaker.view_result(result_link);"
                ],
                "hidden": true
            },
            "output": {
                "state": {},
                "selectedType": "BeakerDisplay",
Your Name's avatar
Your Name committed
1342
                "height": 56,
Angelo Ziletti's avatar
Angelo Ziletti committed
1343
                "pluginName": "JavaScript",
1344
                "elapsedTime": 56
Angelo Ziletti's avatar
Angelo Ziletti committed
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
            },
            "evaluatorReader": true,
            "lineCount": 2,
            "tags": "calc_cell"
        }
    ],
    "namespace": {
        "selected_feature_list": [
            "atomic_ionization_potential",
            "atomic_electron_affinity",
            "atomic_rs_max",
            "atomic_rp_max",
            "atomic_rd_max"
        ],
        "allowed_operations": [
            "+",
            "|-|",
            "/",
            "^2",
            "exp"
        ],
        "max_dim": "2",
        "ncomb": "1",
        "n_sis": "10",
1369
        "n_comb": "3",
Angelo Ziletti's avatar
Angelo Ziletti committed
1370
        "viewer_result": "6edb65b9776deeb2",
Your Name's avatar
Your Name committed
1371
        "structures_diff": "0",
Angelo Ziletti's avatar
Angelo Ziletti committed
1372
        "units": "eV_angstrom"
1373
1374
    },
    "locked": true
Angelo Ziletti's avatar
Angelo Ziletti committed
1375
}