{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "# A Survey on Understanding Experiments and Research Practices for Reproducibility"
     }
    ]
   },
   "source": [
    "# A Survey on Understanding Experiments and Research Practices for Reproducibility"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "This Jupyter Notebook presents the results from the survey \"Survey on Understanding Experiments and Research Practices for Reproducibility\" conducted in the context of DFG CRC/TRR ReceptorLight. The notebook analyses the dataset which provides insight into the reproducibility crisis and how to tackle this problem according to scientists. The purpose of the online survey was to gain a better understanding of what is needed to achieve reproducibility of experiments in science. This dataset consists of 26 questions grouped in 6 sections. We analyse each question in the following cells."
     }
    ]
   },
   "source": [
    "This Jupyter Notebook presents the results from the survey \"Survey on Understanding Experiments and Research Practices for Reproducibility\" conducted in the context of DFG CRC/TRR ReceptorLight. The notebook analyses the dataset which provides insight into the reproducibility crisis and how to tackle this problem according to scientists. The purpose of the online survey was to gain a better understanding of what is needed to achieve reproducibility of experiments in science. This dataset consists of 26 questions grouped in 6 sections. We analyse each question in the following cells."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Research-Context-of-the-Survey-Participants\" data-toc-modified-id=\"Research-Context-of-the-Survey-Participants-1.1\">Research Context of the Survey Participants</a></span><ul class=\"toc-item\"><li><span><a href=\"#Current-Position-of-Survey-Participants\" data-toc-modified-id=\"Current-Position-of-Survey-Participants-1.1.1\">Current Position of Survey Participants</a></span></li><li><span><a href=\"#Primary-Area-of-Study-of-the-Survey-Participants\" data-toc-modified-id=\"Primary-Area-of-Study-of-the-Survey-Participants-1.1.2\">Primary Area of Study of the Survey Participants</a></span></li></ul></li><li><span><a href=\"#Reproducibility\" data-toc-modified-id=\"Reproducibility-1.2\">Reproducibility</a></span><ul class=\"toc-item\"><li><span><a href=\"#Do-you-think-there-is-a-reproducibility-crisis-in-your-field-of-research?\" data-toc-modified-id=\"Do-you-think-there-is-a-reproducibility-crisis-in-your-field-of-research?-1.2.1\">Do you think there is a reproducibility crisis in your field of research?</a></span></li><li><span><a href=\"#In-your-experience,-what-are-the-factors-leading-to-poor-reproducibility?\" data-toc-modified-id=\"In-your-experience,-what-are-the-factors-leading-to-poor-reproducibility?-1.2.2\">In your experience, what are the factors leading to poor reproducibility?</a></span></li></ul></li><li><span><a href=\"#Measures-taken-to-ensure-reproducibility-in-the-participants'-field-of-research\" data-toc-modified-id=\"Measures-taken-to-ensure-reproducibility-in-the-participants'-field-of-research-1.3\">Measures taken to ensure reproducibility in the participants' field of research</a></span><ul class=\"toc-item\"><li><span><a href=\"#How-easy-would-it-be-for-you-to-find-all-the-experimental-data-related-to-your-own-project-in-order-to-reproduce-the-results-at-a-later-point-in-time-(e.g.-6-months-after-the-original-experiment)?\" data-toc-modified-id=\"How-easy-would-it-be-for-you-to-find-all-the-experimental-data-related-to-your-own-project-in-order-to-reproduce-the-results-at-a-later-point-in-time-(e.g.-6-months-after-the-original-experiment)?-1.3.1\">How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)?</a></span></li><li><span><a href=\"#How-easy-would-it-be-for-a-newcomer-in-your-workplace-to-find-all-the-experimental-data-related-to-your-project/experiment-without-any/limited-instructions-from-you?\" data-toc-modified-id=\"How-easy-would-it-be-for-a-newcomer-in-your-workplace-to-find-all-the-experimental-data-related-to-your-project/experiment-without-any/limited-instructions-from-you?-1.3.2\">How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you?</a></span></li><li><span><a href=\"#Have-you-ever-been-unable-to-reproduce-published-results-of-others?\" data-toc-modified-id=\"Have-you-ever-been-unable-to-reproduce-published-results-of-others?-1.3.3\">Have you ever been unable to reproduce published results of others?</a></span></li><li><span><a href=\"#Has-anybody-contacted-you-that-they-have-a-problem-in-reproducing-your-published-results?\" data-toc-modified-id=\"Has-anybody-contacted-you-that-they-have-a-problem-in-reproducing-your-published-results?-1.3.4\">Has anybody contacted you that they have a problem in reproducing your published results?</a></span></li><li><span><a href=\"#Do-you-repeat-your-experiments-to-verify-the-results?\" data-toc-modified-id=\"Do-you-repeat-your-experiments-to-verify-the-results?-1.3.5\">Do you repeat your experiments to verify the results?</a></span></li></ul></li><li><span><a href=\"#Important-factors-to-understand-a-scientific-experiment-to-enable-reproducibility\" data-toc-modified-id=\"Important-factors-to-understand-a-scientific-experiment-to-enable-reproducibility-1.4\">Important factors to understand a scientific experiment to enable reproducibility</a></span><ul class=\"toc-item\"><li><span><a href=\"#What-is-your-opinion-on-sharing-experimental-data?\" data-toc-modified-id=\"What-is-your-opinion-on-sharing-experimental-data?-1.4.1\">What is your opinion on sharing experimental data?</a></span></li><li><span><a href=\"#What-is-your-opinion-on-sharing-metadata-regarding-experimental-requirements?\" data-toc-modified-id=\"What-is-your-opinion-on-sharing-metadata-regarding-experimental-requirements?-1.4.2\">What is your opinion on sharing metadata regarding experimental requirements?</a></span></li><li><span><a href=\"#What-is-your-opinion-on-sharing-metadata-regarding-settings?\" data-toc-modified-id=\"What-is-your-opinion-on-sharing-metadata-regarding-settings?-1.4.3\">What is your opinion on sharing metadata regarding settings?</a></span></li><li><span><a href=\"#What-is-your-opinion-on-sharing-metadata-regarding-time,-duration,-and-the-location-of-experiments?\" data-toc-modified-id=\"What-is-your-opinion-on-sharing-metadata-regarding-time,-duration,-and-the-location-of-experiments?-1.4.4\">What is your opinion on sharing metadata regarding time, duration, and the location of experiments?</a></span></li><li><span><a href=\"#What-is-your-opinion-on-sharing-metadata-regarding-software-used?\" data-toc-modified-id=\"What-is-your-opinion-on-sharing-metadata-regarding-software-used?-1.4.5\">What is your opinion on sharing metadata regarding software used?</a></span></li><li><span><a href=\"#What-is-your-opinion-on-sharing-metadata-regarding-all-the-steps-and-plans?\" data-toc-modified-id=\"What-is-your-opinion-on-sharing-metadata-regarding-all-the-steps-and-plans?-1.4.6\">What is your opinion on sharing metadata regarding all the steps and plans?</a></span></li><li><span><a href=\"#What-is-your-opinion-on-sharing-the-intermediate-and-final-results-of-each-trial-of-your-experiments?\" data-toc-modified-id=\"What-is-your-opinion-on-sharing-the-intermediate-and-final-results-of-each-trial-of-your-experiments?-1.4.7\">What is your opinion on sharing the intermediate and final results of each trial of your experiments?</a></span></li><li><span><a href=\"#Comments-provided-by-the-participants-on-the-other-things-that-should-be-shared-when-publishing-experimental-results.\" data-toc-modified-id=\"Comments-provided-by-the-participants-on-the-other-things-that-should-be-shared-when-publishing-experimental-results.-1.4.8\">Comments provided by the participants on the other things that should be shared when publishing experimental results.</a></span></li></ul></li><li><span><a href=\"#Experiment-workflows-and-research-practices-followed-in-different-disciplines.\" data-toc-modified-id=\"Experiment-workflows-and-research-practices-followed-in-different-disciplines.-1.5\">Experiment workflows and research practices followed in different disciplines.</a></span><ul class=\"toc-item\"><li><span><a href=\"#What-kind-of-data-do-you-work-primarily-with?\" data-toc-modified-id=\"What-kind-of-data-do-you-work-primarily-with?-1.5.1\">What kind of data do you work primarily with?</a></span></li><li><span><a href=\"#What-kind-of-other-data-do-you-work-primarily-with?\" data-toc-modified-id=\"What-kind-of-other-data-do-you-work-primarily-with?-1.5.2\">What kind of other data do you work primarily with?</a></span></li><li><span><a href=\"#Where-do-you-store-your-experimental-data-files?\" data-toc-modified-id=\"Where-do-you-store-your-experimental-data-files?-1.5.3\">Where do you store your experimental data files?</a></span></li><li><span><a href=\"#Where-do-you-save-your-experimental-metadata-like-descriptions-of-experiment,-methods,-samples-used?\" data-toc-modified-id=\"Where-do-you-save-your-experimental-metadata-like-descriptions-of-experiment,-methods,-samples-used?-1.5.4\">Where do you save your experimental metadata like descriptions of experiment, methods, samples used?</a></span></li><li><span><a href=\"#Do-you-write-scripts-or-program-to-perform-data-analysis-at-any-stage-in-your-experimental-workflow?\" data-toc-modified-id=\"Do-you-write-scripts-or-program-to-perform-data-analysis-at-any-stage-in-your-experimental-workflow?-1.5.5\">Do you write scripts or program to perform data analysis at any stage in your experimental workflow?</a></span></li><li><span><a href=\"#Have-you-heard-about-the-FAIR-(Findable,-Accessible,-Interoperable,-Reusable)-principles?\" data-toc-modified-id=\"Have-you-heard-about-the-FAIR-(Findable,-Accessible,-Interoperable,-Reusable)-principles?-1.5.6\">Have you heard about the FAIR (Findable, Accessible, Interoperable, Reusable) principles?</a></span></li><li><span><a href=\"#Does-your-research-follow-the-FAIR-data-principles?\" data-toc-modified-id=\"Does-your-research-follow-the-FAIR-data-principles?-1.5.7\">Does your research follow the FAIR data principles?</a></span></li><li><span><a href=\"#Comments-provided-by-the-participants-regarding-what-they-think-is-important-to-enable-understandability-and-reproducibility-of-scientific-experiments-in-their-field-of-research\" data-toc-modified-id=\"Comments-provided-by-the-participants-regarding-what-they-think-is-important-to-enable-understandability-and-reproducibility-of-scientific-experiments-in-their-field-of-research-1.5.8\">Comments provided by the participants regarding what they think is important to enable understandability and reproducibility of scientific experiments in their field of research</a></span></li></ul></li><li><span><a href=\"#Detailed-Analysis-of-Survey\" data-toc-modified-id=\"Detailed-Analysis-of-Survey-1.6\">Detailed Analysis of Survey</a></span><ul class=\"toc-item\"><li><span><a href=\"#Current-position-of-participants-who-think-there-is-a-reproducibility-crisis\" data-toc-modified-id=\"Current-position-of-participants-who-think-there-is-a-reproducibility-crisis-1.6.1\">Current position of participants who think there is a reproducibility crisis</a></span></li><li><span><a href=\"#Current-position-of-participants-who-think-there-is-no-reproducibility-crisis\" data-toc-modified-id=\"Current-position-of-participants-who-think-there-is-no-reproducibility-crisis-1.6.2\">Current position of participants who think there is no reproducibility crisis</a></span></li><li><span><a href=\"#The-primary-area-of-study-of-participants-who-think-there-is-a-reproducibility-crisis\" data-toc-modified-id=\"The-primary-area-of-study-of-participants-who-think-there-is-a-reproducibility-crisis-1.6.3\">The primary area of study of participants who think there is a reproducibility crisis</a></span></li><li><span><a href=\"#The-primary-area-of-study-of-participants-who-think-there-is-no-reproducibility-crisis\" data-toc-modified-id=\"The-primary-area-of-study-of-participants-who-think-there-is-no-reproducibility-crisis-1.6.4\">The primary area of study of participants who think there is no reproducibility crisis</a></span></li><li><span><a href=\"#The-opinion-on-FAIR-data-principles-by-participants-who-think-there-is-reproducibility-crisis\" data-toc-modified-id=\"The-opinion-on-FAIR-data-principles-by-participants-who-think-there-is-reproducibility-crisis-1.6.5\">The opinion on FAIR data principles by participants who think there is reproducibility crisis</a></span></li><li><span><a href=\"#The-opinion-on-FAIR-data-principles-by-participants-who-think-there-is-no-reproducibility-crisis\" data-toc-modified-id=\"The-opinion-on-FAIR-data-principles-by-participants-who-think-there-is-no-reproducibility-crisis-1.6.6\">The opinion on FAIR data principles by participants who think there is no reproducibility crisis</a></span></li><li><span><a href=\"#How-easy-it-is-to-find-all-the-experimental-data-related-to-own-project-in-order-to-reproduce-the-results-at-a-later-point-in-time-for-the-participants-who-think-there-is-reproducibility-crisis?\" data-toc-modified-id=\"How-easy-it-is-to-find-all-the-experimental-data-related-to-own-project-in-order-to-reproduce-the-results-at-a-later-point-in-time-for-the-participants-who-think-there-is-reproducibility-crisis?-1.6.7\">How easy it is to find all the experimental data related to own project in order to reproduce the results at a later point in time for the participants who think there is reproducibility crisis?</a></span></li><li><span><a href=\"#How-easy-would-it-be-for-a-newcomer-to-find-all-the-experimental-data-related-to-project/experiment-without-any/limited-instructions-from-the-participants-who-think-there-is-reproducibility-crisis?\" data-toc-modified-id=\"How-easy-would-it-be-for-a-newcomer-to-find-all-the-experimental-data-related-to-project/experiment-without-any/limited-instructions-from-the-participants-who-think-there-is-reproducibility-crisis?-1.6.8\">How easy would it be for a newcomer to find all the experimental data related to project/experiment without any/limited instructions from the participants who think there is reproducibility crisis?</a></span></li><li><span><a href=\"#How-easy-it-is-to-find-all-the-experimental-data-related-to-own-project-in-order-to-reproduce-the-results-at-a-later-point-in-time-for-the-participants-who-think-there-is-no-reproducibility-crisis?\" data-toc-modified-id=\"How-easy-it-is-to-find-all-the-experimental-data-related-to-own-project-in-order-to-reproduce-the-results-at-a-later-point-in-time-for-the-participants-who-think-there-is-no-reproducibility-crisis?-1.6.9\">How easy it is to find all the experimental data related to own project in order to reproduce the results at a later point in time for the participants who think there is no reproducibility crisis?</a></span></li><li><span><a href=\"#How-easy-would-it-be-for-a-newcomer-to-find-all-the-experimental-data-related-to-project/experiment-without-any/limited-instructions-from-the-participants-who-think-there-is-no-reproducibility-crisis?\" data-toc-modified-id=\"How-easy-would-it-be-for-a-newcomer-to-find-all-the-experimental-data-related-to-project/experiment-without-any/limited-instructions-from-the-participants-who-think-there-is-no-reproducibility-crisis?-1.6.10\">How easy would it be for a newcomer to find all the experimental data related to project/experiment without any/limited instructions from the participants who think there is no reproducibility crisis?</a></span></li><li><span><a href=\"#Have-the-participants-who-think-there-is-a-reproducibility-crisis-ever-been-unable-to-reproduce-published-results-of-others?\" data-toc-modified-id=\"Have-the-participants-who-think-there-is-a-reproducibility-crisis-ever-been-unable-to-reproduce-published-results-of-others?-1.6.11\">Have the participants who think there is a reproducibility crisis ever been unable to reproduce published results of others?</a></span></li><li><span><a href=\"#Have-the-participants-who-think-there-is-a-no-reproducibility-crisis-ever-been-unable-to-reproduce-published-results-of-others?\" data-toc-modified-id=\"Have-the-participants-who-think-there-is-a-no-reproducibility-crisis-ever-been-unable-to-reproduce-published-results-of-others?-1.6.12\">Have the participants who think there is a no reproducibility crisis ever been unable to reproduce published results of others?</a></span></li></ul></li></ul></li></ul></div>"
     }
    ],
    "toc": true
   },
   "source": [
    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Research-Context-of-the-Survey-Participants\" data-toc-modified-id=\"Research-Context-of-the-Survey-Participants-1.1\">Research Context of the Survey Participants</a></span><ul class=\"toc-item\"><li><span><a href=\"#Current-Position-of-Survey-Participants\" data-toc-modified-id=\"Current-Position-of-Survey-Participants-1.1.1\">Current Position of Survey Participants</a></span></li><li><span><a href=\"#Primary-Area-of-Study-of-the-Survey-Participants\" data-toc-modified-id=\"Primary-Area-of-Study-of-the-Survey-Participants-1.1.2\">Primary Area of Study of the Survey Participants</a></span></li></ul></li><li><span><a href=\"#Reproducibility\" data-toc-modified-id=\"Reproducibility-1.2\">Reproducibility</a></span><ul class=\"toc-item\"><li><span><a href=\"#Do-you-think-there-is-a-reproducibility-crisis-in-your-field-of-research?\" data-toc-modified-id=\"Do-you-think-there-is-a-reproducibility-crisis-in-your-field-of-research?-1.2.1\">Do you think there is a reproducibility crisis in your field of research?</a></span></li><li><span><a href=\"#In-your-experience,-what-are-the-factors-leading-to-poor-reproducibility?\" data-toc-modified-id=\"In-your-experience,-what-are-the-factors-leading-to-poor-reproducibility?-1.2.2\">In your experience, what are the factors leading to poor reproducibility?</a></span></li></ul></li><li><span><a href=\"#Measures-taken-to-ensure-reproducibility-in-the-participants'-field-of-research\" data-toc-modified-id=\"Measures-taken-to-ensure-reproducibility-in-the-participants'-field-of-research-1.3\">Measures taken to ensure reproducibility in the participants' field of research</a></span><ul class=\"toc-item\"><li><span><a href=\"#How-easy-would-it-be-for-you-to-find-all-the-experimental-data-related-to-your-own-project-in-order-to-reproduce-the-results-at-a-later-point-in-time-(e.g.-6-months-after-the-original-experiment)?\" data-toc-modified-id=\"How-easy-would-it-be-for-you-to-find-all-the-experimental-data-related-to-your-own-project-in-order-to-reproduce-the-results-at-a-later-point-in-time-(e.g.-6-months-after-the-original-experiment)?-1.3.1\">How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)?</a></span></li><li><span><a href=\"#How-easy-would-it-be-for-a-newcomer-in-your-workplace-to-find-all-the-experimental-data-related-to-your-project/experiment-without-any/limited-instructions-from-you?\" data-toc-modified-id=\"How-easy-would-it-be-for-a-newcomer-in-your-workplace-to-find-all-the-experimental-data-related-to-your-project/experiment-without-any/limited-instructions-from-you?-1.3.2\">How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you?</a></span></li><li><span><a href=\"#Have-you-ever-been-unable-to-reproduce-published-results-of-others?\" data-toc-modified-id=\"Have-you-ever-been-unable-to-reproduce-published-results-of-others?-1.3.3\">Have you ever been unable to reproduce published results of others?</a></span></li><li><span><a href=\"#Has-anybody-contacted-you-that-they-have-a-problem-in-reproducing-your-published-results?\" data-toc-modified-id=\"Has-anybody-contacted-you-that-they-have-a-problem-in-reproducing-your-published-results?-1.3.4\">Has anybody contacted you that they have a problem in reproducing your published results?</a></span></li><li><span><a href=\"#Do-you-repeat-your-experiments-to-verify-the-results?\" data-toc-modified-id=\"Do-you-repeat-your-experiments-to-verify-the-results?-1.3.5\">Do you repeat your experiments to verify the results?</a></span></li></ul></li><li><span><a href=\"#Important-factors-to-understand-a-scientific-experiment-to-enable-reproducibility\" data-toc-modified-id=\"Important-factors-to-understand-a-scientific-experiment-to-enable-reproducibility-1.4\">Important factors to understand a scientific experiment to enable reproducibility</a></span><ul class=\"toc-item\"><li><span><a href=\"#What-is-your-opinion-on-sharing-experimental-data?\" data-toc-modified-id=\"What-is-your-opinion-on-sharing-experimental-data?-1.4.1\">What is your opinion on sharing experimental data?</a></span></li><li><span><a href=\"#What-is-your-opinion-on-sharing-metadata-regarding-experimental-requirements?\" data-toc-modified-id=\"What-is-your-opinion-on-sharing-metadata-regarding-experimental-requirements?-1.4.2\">What is your opinion on sharing metadata regarding experimental requirements?</a></span></li><li><span><a href=\"#What-is-your-opinion-on-sharing-metadata-regarding-settings?\" data-toc-modified-id=\"What-is-your-opinion-on-sharing-metadata-regarding-settings?-1.4.3\">What is your opinion on sharing metadata regarding settings?</a></span></li><li><span><a href=\"#What-is-your-opinion-on-sharing-metadata-regarding-time,-duration,-and-the-location-of-experiments?\" data-toc-modified-id=\"What-is-your-opinion-on-sharing-metadata-regarding-time,-duration,-and-the-location-of-experiments?-1.4.4\">What is your opinion on sharing metadata regarding time, duration, and the location of experiments?</a></span></li><li><span><a href=\"#What-is-your-opinion-on-sharing-metadata-regarding-software-used?\" data-toc-modified-id=\"What-is-your-opinion-on-sharing-metadata-regarding-software-used?-1.4.5\">What is your opinion on sharing metadata regarding software used?</a></span></li><li><span><a href=\"#What-is-your-opinion-on-sharing-metadata-regarding-all-the-steps-and-plans?\" data-toc-modified-id=\"What-is-your-opinion-on-sharing-metadata-regarding-all-the-steps-and-plans?-1.4.6\">What is your opinion on sharing metadata regarding all the steps and plans?</a></span></li><li><span><a href=\"#What-is-your-opinion-on-sharing-the-intermediate-and-final-results-of-each-trial-of-your-experiments?\" data-toc-modified-id=\"What-is-your-opinion-on-sharing-the-intermediate-and-final-results-of-each-trial-of-your-experiments?-1.4.7\">What is your opinion on sharing the intermediate and final results of each trial of your experiments?</a></span></li><li><span><a href=\"#Comments-provided-by-the-participants-on-the-other-things-that-should-be-shared-when-publishing-experimental-results.\" data-toc-modified-id=\"Comments-provided-by-the-participants-on-the-other-things-that-should-be-shared-when-publishing-experimental-results.-1.4.8\">Comments provided by the participants on the other things that should be shared when publishing experimental results.</a></span></li></ul></li><li><span><a href=\"#Experiment-workflows-and-research-practices-followed-in-different-disciplines.\" data-toc-modified-id=\"Experiment-workflows-and-research-practices-followed-in-different-disciplines.-1.5\">Experiment workflows and research practices followed in different disciplines.</a></span><ul class=\"toc-item\"><li><span><a href=\"#What-kind-of-data-do-you-work-primarily-with?\" data-toc-modified-id=\"What-kind-of-data-do-you-work-primarily-with?-1.5.1\">What kind of data do you work primarily with?</a></span></li><li><span><a href=\"#What-kind-of-other-data-do-you-work-primarily-with?\" data-toc-modified-id=\"What-kind-of-other-data-do-you-work-primarily-with?-1.5.2\">What kind of other data do you work primarily with?</a></span></li><li><span><a href=\"#Where-do-you-store-your-experimental-data-files?\" data-toc-modified-id=\"Where-do-you-store-your-experimental-data-files?-1.5.3\">Where do you store your experimental data files?</a></span></li><li><span><a href=\"#Where-do-you-save-your-experimental-metadata-like-descriptions-of-experiment,-methods,-samples-used?\" data-toc-modified-id=\"Where-do-you-save-your-experimental-metadata-like-descriptions-of-experiment,-methods,-samples-used?-1.5.4\">Where do you save your experimental metadata like descriptions of experiment, methods, samples used?</a></span></li><li><span><a href=\"#Do-you-write-scripts-or-program-to-perform-data-analysis-at-any-stage-in-your-experimental-workflow?\" data-toc-modified-id=\"Do-you-write-scripts-or-program-to-perform-data-analysis-at-any-stage-in-your-experimental-workflow?-1.5.5\">Do you write scripts or program to perform data analysis at any stage in your experimental workflow?</a></span></li><li><span><a href=\"#Have-you-heard-about-the-FAIR-(Findable,-Accessible,-Interoperable,-Reusable)-principles?\" data-toc-modified-id=\"Have-you-heard-about-the-FAIR-(Findable,-Accessible,-Interoperable,-Reusable)-principles?-1.5.6\">Have you heard about the FAIR (Findable, Accessible, Interoperable, Reusable) principles?</a></span></li><li><span><a href=\"#Does-your-research-follow-the-FAIR-data-principles?\" data-toc-modified-id=\"Does-your-research-follow-the-FAIR-data-principles?-1.5.7\">Does your research follow the FAIR data principles?</a></span></li><li><span><a href=\"#Comments-provided-by-the-participants-regarding-what-they-think-is-important-to-enable-understandability-and-reproducibility-of-scientific-experiments-in-their-field-of-research\" data-toc-modified-id=\"Comments-provided-by-the-participants-regarding-what-they-think-is-important-to-enable-understandability-and-reproducibility-of-scientific-experiments-in-their-field-of-research-1.5.8\">Comments provided by the participants regarding what they think is important to enable understandability and reproducibility of scientific experiments in their field of research</a></span></li></ul></li><li><span><a href=\"#Detailed-Analysis-of-Survey\" data-toc-modified-id=\"Detailed-Analysis-of-Survey-1.6\">Detailed Analysis of Survey</a></span><ul class=\"toc-item\"><li><span><a href=\"#Current-position-of-participants-who-think-there-is-a-reproducibility-crisis\" data-toc-modified-id=\"Current-position-of-participants-who-think-there-is-a-reproducibility-crisis-1.6.1\">Current position of participants who think there is a reproducibility crisis</a></span></li><li><span><a href=\"#Current-position-of-participants-who-think-there-is-no-reproducibility-crisis\" data-toc-modified-id=\"Current-position-of-participants-who-think-there-is-no-reproducibility-crisis-1.6.2\">Current position of participants who think there is no reproducibility crisis</a></span></li><li><span><a href=\"#The-primary-area-of-study-of-participants-who-think-there-is-a-reproducibility-crisis\" data-toc-modified-id=\"The-primary-area-of-study-of-participants-who-think-there-is-a-reproducibility-crisis-1.6.3\">The primary area of study of participants who think there is a reproducibility crisis</a></span></li><li><span><a href=\"#The-primary-area-of-study-of-participants-who-think-there-is-no-reproducibility-crisis\" data-toc-modified-id=\"The-primary-area-of-study-of-participants-who-think-there-is-no-reproducibility-crisis-1.6.4\">The primary area of study of participants who think there is no reproducibility crisis</a></span></li><li><span><a href=\"#The-opinion-on-FAIR-data-principles-by-participants-who-think-there-is-reproducibility-crisis\" data-toc-modified-id=\"The-opinion-on-FAIR-data-principles-by-participants-who-think-there-is-reproducibility-crisis-1.6.5\">The opinion on FAIR data principles by participants who think there is reproducibility crisis</a></span></li><li><span><a href=\"#The-opinion-on-FAIR-data-principles-by-participants-who-think-there-is-no-reproducibility-crisis\" data-toc-modified-id=\"The-opinion-on-FAIR-data-principles-by-participants-who-think-there-is-no-reproducibility-crisis-1.6.6\">The opinion on FAIR data principles by participants who think there is no reproducibility crisis</a></span></li><li><span><a href=\"#How-easy-it-is-to-find-all-the-experimental-data-related-to-own-project-in-order-to-reproduce-the-results-at-a-later-point-in-time-for-the-participants-who-think-there-is-reproducibility-crisis?\" data-toc-modified-id=\"How-easy-it-is-to-find-all-the-experimental-data-related-to-own-project-in-order-to-reproduce-the-results-at-a-later-point-in-time-for-the-participants-who-think-there-is-reproducibility-crisis?-1.6.7\">How easy it is to find all the experimental data related to own project in order to reproduce the results at a later point in time for the participants who think there is reproducibility crisis?</a></span></li><li><span><a href=\"#How-easy-would-it-be-for-a-newcomer-to-find-all-the-experimental-data-related-to-project/experiment-without-any/limited-instructions-from-the-participants-who-think-there-is-reproducibility-crisis?\" data-toc-modified-id=\"How-easy-would-it-be-for-a-newcomer-to-find-all-the-experimental-data-related-to-project/experiment-without-any/limited-instructions-from-the-participants-who-think-there-is-reproducibility-crisis?-1.6.8\">How easy would it be for a newcomer to find all the experimental data related to project/experiment without any/limited instructions from the participants who think there is reproducibility crisis?</a></span></li><li><span><a href=\"#How-easy-it-is-to-find-all-the-experimental-data-related-to-own-project-in-order-to-reproduce-the-results-at-a-later-point-in-time-for-the-participants-who-think-there-is-no-reproducibility-crisis?\" data-toc-modified-id=\"How-easy-it-is-to-find-all-the-experimental-data-related-to-own-project-in-order-to-reproduce-the-results-at-a-later-point-in-time-for-the-participants-who-think-there-is-no-reproducibility-crisis?-1.6.9\">How easy it is to find all the experimental data related to own project in order to reproduce the results at a later point in time for the participants who think there is no reproducibility crisis?</a></span></li><li><span><a href=\"#How-easy-would-it-be-for-a-newcomer-to-find-all-the-experimental-data-related-to-project/experiment-without-any/limited-instructions-from-the-participants-who-think-there-is-no-reproducibility-crisis?\" data-toc-modified-id=\"How-easy-would-it-be-for-a-newcomer-to-find-all-the-experimental-data-related-to-project/experiment-without-any/limited-instructions-from-the-participants-who-think-there-is-no-reproducibility-crisis?-1.6.10\">How easy would it be for a newcomer to find all the experimental data related to project/experiment without any/limited instructions from the participants who think there is no reproducibility crisis?</a></span></li><li><span><a href=\"#Have-the-participants-who-think-there-is-a-reproducibility-crisis-ever-been-unable-to-reproduce-published-results-of-others?\" data-toc-modified-id=\"Have-the-participants-who-think-there-is-a-reproducibility-crisis-ever-been-unable-to-reproduce-published-results-of-others?-1.6.11\">Have the participants who think there is a reproducibility crisis ever been unable to reproduce published results of others?</a></span></li><li><span><a href=\"#Have-the-participants-who-think-there-is-a-no-reproducibility-crisis-ever-been-unable-to-reproduce-published-results-of-others?\" data-toc-modified-id=\"Have-the-participants-who-think-there-is-a-no-reproducibility-crisis-ever-been-unable-to-reproduce-published-results-of-others?-1.6.12\">Have the participants who think there is a no reproducibility crisis ever been unable to reproduce published results of others?</a></span></li></ul></li></ul></li></ul></div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:03.252454Z",
     "start_time": "2020-05-28T12:20:02.708587Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:03.252Z",
      "execution_time": "544ms",
      "outputs": [],
      "source": "import pandas as pd\n%matplotlib inline\nimport matplotlib.pyplot as plt",
      "start_time": "2020-05-28T12:20:02.708Z"
     }
    ]
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:03.321284Z",
     "start_time": "2020-05-28T12:20:03.257103Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:03.321Z",
      "execution_time": "64ms",
      "outputs": [],
      "source": "# Read csv from the dataset from the current Github Repository\ndf = pd.read_csv('ProcessedData_Survey_on_Understanding_Experiments_and_Research_Practices_for_Reproducibility.csv')",
      "start_time": "2020-05-28T12:20:03.257Z"
     }
    ]
   },
   "outputs": [],
   "source": [
    "# Read csv from the dataset from the current Github Repository\n",
    "df = pd.read_csv('ProcessedData_Survey_on_Understanding_Experiments_and_Research_Practices_for_Reproducibility.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:03.370778Z",
     "start_time": "2020-05-28T12:20:03.325440Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:03.370Z",
      "execution_time": "45ms",
      "outputs": [
       {
        "data": {
         "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Response ID</th>\n      <th>Date started</th>\n      <th>Date last action</th>\n      <th>[Yes, I have read the privacy policy and agree./ Ja, ich habe die Datenschutzerklärung gelesen und stimme zu.]</th>\n      <th>What is your current position?</th>\n      <th>What is your current position? [Other]</th>\n      <th>What is your primary area of study?</th>\n      <th>What is your primary area of study? [Other]</th>\n      <th>Do you think there is a reproducibility crisis in your field of research?</th>\n      <th>Do you think there is a reproducibility crisis in your field of research? [Other]</th>\n      <th>...</th>\n      <th>Where do you save your experimental metadata like descriptions of experiment, methods, samples used? [Data Management Platforms]</th>\n      <th>Where do you save your experimental metadata like descriptions of experiment, methods, samples used? [Other]</th>\n      <th>Do you write scripts or program to perform data analysis at any stage in your experimental workflow?</th>\n      <th>Have you heard about the FAIR (Findable, Accessible, Interoperable, Reusable) principles?</th>\n      <th>Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Findable]</th>\n      <th>Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Accessible]</th>\n      <th>Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Interoperable]</th>\n      <th>Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Reusable]</th>\n      <th>Please feel free to provide comments regarding what you think is important to enable understandability and reproducibility of scientific experiments in your field of research.</th>\n      <th>Total time</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2</td>\n      <td>2019-01-24 08:37:24</td>\n      <td>2019-01-24 08:40:56</td>\n      <td>Yes</td>\n      <td>PhD Student</td>\n      <td>NaN</td>\n      <td>Computer Science</td>\n      <td>NaN</td>\n      <td>Yes</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>Primary Source</td>\n      <td>Primary Source</td>\n      <td>Yes</td>\n      <td>Yes</td>\n      <td>Often</td>\n      <td>Often</td>\n      <td>Sometimes</td>\n      <td>Often</td>\n      <td>NaN</td>\n      <td>215.17</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>3</td>\n      <td>2019-01-24 10:10:30</td>\n      <td>2019-01-24 10:16:33</td>\n      <td>Yes</td>\n      <td>PhD Student</td>\n      <td>NaN</td>\n      <td>Computer Science</td>\n      <td>NaN</td>\n      <td>Yes</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>Secondary Source</td>\n      <td>NaN</td>\n      <td>Yes</td>\n      <td>Yes</td>\n      <td>Often</td>\n      <td>Often</td>\n      <td>Sometimes</td>\n      <td>Sometimes</td>\n      <td>NaN</td>\n      <td>365.51</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>4</td>\n      <td>2019-01-24 10:20:13</td>\n      <td>2019-01-24 10:33:42</td>\n      <td>Yes</td>\n      <td>PostDoc</td>\n      <td>NaN</td>\n      <td>Biology(other)</td>\n      <td>NaN</td>\n      <td>No</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>No</td>\n      <td>Yes</td>\n      <td>Often</td>\n      <td>Rarely</td>\n      <td>Sometimes</td>\n      <td>Sometimes</td>\n      <td>NaN</td>\n      <td>811.73</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>6</td>\n      <td>2019-01-24 18:34:03</td>\n      <td>2019-01-24 18:40:46</td>\n      <td>Yes</td>\n      <td>Professor</td>\n      <td>NaN</td>\n      <td>Computer Science</td>\n      <td>NaN</td>\n      <td>Other</td>\n      <td>partly</td>\n      <td>...</td>\n      <td>Other</td>\n      <td>Other</td>\n      <td>Yes</td>\n      <td>No</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>405.30</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>7</td>\n      <td>2019-01-24 18:43:32</td>\n      <td>2019-01-24 18:56:51</td>\n      <td>Yes</td>\n      <td>Professor</td>\n      <td>NaN</td>\n      <td>Computer Science</td>\n      <td>NaN</td>\n      <td>Yes</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Yes</td>\n      <td>Yes</td>\n      <td>Rarely</td>\n      <td>Sometimes</td>\n      <td>Rarely</td>\n      <td>Rarely</td>\n      <td>NaN</td>\n      <td>802.05</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 94 columns</p>\n</div>",
         "text/plain": "   Response ID         Date started     Date last action  \\\n0            2  2019-01-24 08:37:24  2019-01-24 08:40:56   \n1            3  2019-01-24 10:10:30  2019-01-24 10:16:33   \n2            4  2019-01-24 10:20:13  2019-01-24 10:33:42   \n3            6  2019-01-24 18:34:03  2019-01-24 18:40:46   \n4            7  2019-01-24 18:43:32  2019-01-24 18:56:51   \n\n   [Yes, I have read the privacy policy and agree./ Ja, ich habe die Datenschutzerklärung gelesen und stimme zu.]  \\\n0                                                Yes                                                                \n1                                                Yes                                                                \n2                                                Yes                                                                \n3                                                Yes                                                                \n4                                                Yes                                                                \n\n  What is your current position? What is your current position? [Other]  \\\n0                    PhD Student                                    NaN   \n1                    PhD Student                                    NaN   \n2                        PostDoc                                    NaN   \n3                      Professor                                    NaN   \n4                      Professor                                    NaN   \n\n  What is your primary area of study?  \\\n0                    Computer Science   \n1                    Computer Science   \n2                      Biology(other)   \n3                    Computer Science   \n4                    Computer Science   \n\n  What is your primary area of study? [Other]  \\\n0                                         NaN   \n1                                         NaN   \n2                                         NaN   \n3                                         NaN   \n4                                         NaN   \n\n  Do you think there is a reproducibility crisis in your field of research?  \\\n0                                                Yes                          \n1                                                Yes                          \n2                                                 No                          \n3                                              Other                          \n4                                                Yes                          \n\n  Do you think there is a reproducibility crisis in your field of research? [Other]  \\\n0                                                NaN                                  \n1                                                NaN                                  \n2                                                NaN                                  \n3                                             partly                                  \n4                                                NaN                                  \n\n     ...      \\\n0    ...       \n1    ...       \n2    ...       \n3    ...       \n4    ...       \n\n  Where do you save your experimental metadata like descriptions of experiment, methods, samples used? [Data Management Platforms]  \\\n0                                     Primary Source                                                                                 \n1                                   Secondary Source                                                                                 \n2                                                NaN                                                                                 \n3                                              Other                                                                                 \n4                                                NaN                                                                                 \n\n  Where do you save your experimental metadata like descriptions of experiment, methods, samples used? [Other]  \\\n0                                     Primary Source                                                             \n1                                                NaN                                                             \n2                                                NaN                                                             \n3                                              Other                                                             \n4                                                NaN                                                             \n\n  Do you write scripts or program to perform data analysis at any stage in your experimental workflow?  \\\n0                                                Yes                                                     \n1                                                Yes                                                     \n2                                                 No                                                     \n3                                                Yes                                                     \n4                                                Yes                                                     \n\n  Have you heard about the FAIR (Findable, Accessible, Interoperable, Reusable) principles?  \\\n0                                                Yes                                          \n1                                                Yes                                          \n2                                                Yes                                          \n3                                                 No                                          \n4                                                Yes                                          \n\n  Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Findable]  \\\n0                                              Often                                                          \n1                                              Often                                                          \n2                                              Often                                                          \n3                                                NaN                                                          \n4                                             Rarely                                                          \n\n  Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Accessible]  \\\n0                                              Often                                                            \n1                                              Often                                                            \n2                                             Rarely                                                            \n3                                                NaN                                                            \n4                                          Sometimes                                                            \n\n  Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Interoperable]  \\\n0                                          Sometimes                                                               \n1                                          Sometimes                                                               \n2                                          Sometimes                                                               \n3                                                NaN                                                               \n4                                             Rarely                                                               \n\n  Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Reusable]  \\\n0                                              Often                                                          \n1                                          Sometimes                                                          \n2                                          Sometimes                                                          \n3                                                NaN                                                          \n4                                             Rarely                                                          \n\n  Please feel free to provide comments regarding what you think is important to enable understandability and reproducibility of scientific experiments in your field of research.  \\\n0                                                NaN                                                                                                                                \n1                                                NaN                                                                                                                                \n2                                                NaN                                                                                                                                \n3                                                NaN                                                                                                                                \n4                                                NaN                                                                                                                                \n\n  Total time  \n0     215.17  \n1     365.51  \n2     811.73  \n3     405.30  \n4     802.05  \n\n[5 rows x 94 columns]"
        },
        "execution_count": 3,
        "metadata": {},
        "output_type": "execute_result"
       }
      ],
      "source": "# Print the first 5 rows of the dataset\ndf.head()",
      "start_time": "2020-05-28T12:20:03.325Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Response ID</th>\n",
       "      <th>Date started</th>\n",
       "      <th>Date last action</th>\n",
       "      <th>[Yes, I have read the privacy policy and agree./ Ja, ich habe die Datenschutzerklärung gelesen und stimme zu.]</th>\n",
       "      <th>What is your current position?</th>\n",
       "      <th>What is your current position? [Other]</th>\n",
       "      <th>What is your primary area of study?</th>\n",
       "      <th>What is your primary area of study? [Other]</th>\n",
       "      <th>Do you think there is a reproducibility crisis in your field of research?</th>\n",
       "      <th>Do you think there is a reproducibility crisis in your field of research? [Other]</th>\n",
       "      <th>...</th>\n",
       "      <th>Where do you save your experimental metadata like descriptions of experiment, methods, samples used? [Data Management Platforms]</th>\n",
       "      <th>Where do you save your experimental metadata like descriptions of experiment, methods, samples used? [Other]</th>\n",
       "      <th>Do you write scripts or program to perform data analysis at any stage in your experimental workflow?</th>\n",
       "      <th>Have you heard about the FAIR (Findable, Accessible, Interoperable, Reusable) principles?</th>\n",
       "      <th>Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Findable]</th>\n",
       "      <th>Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Accessible]</th>\n",
       "      <th>Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Interoperable]</th>\n",
       "      <th>Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Reusable]</th>\n",
       "      <th>Please feel free to provide comments regarding what you think is important to enable understandability and reproducibility of scientific experiments in your field of research.</th>\n",
       "      <th>Total time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>2019-01-24 08:37:24</td>\n",
       "      <td>2019-01-24 08:40:56</td>\n",
       "      <td>Yes</td>\n",
       "      <td>PhD Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Computer Science</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Primary Source</td>\n",
       "      <td>Primary Source</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Often</td>\n",
       "      <td>Often</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>Often</td>\n",
       "      <td>NaN</td>\n",
       "      <td>215.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>2019-01-24 10:10:30</td>\n",
       "      <td>2019-01-24 10:16:33</td>\n",
       "      <td>Yes</td>\n",
       "      <td>PhD Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Computer Science</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Secondary Source</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Often</td>\n",
       "      <td>Often</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>365.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>2019-01-24 10:20:13</td>\n",
       "      <td>2019-01-24 10:33:42</td>\n",
       "      <td>Yes</td>\n",
       "      <td>PostDoc</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Biology(other)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Often</td>\n",
       "      <td>Rarely</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>811.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6</td>\n",
       "      <td>2019-01-24 18:34:03</td>\n",
       "      <td>2019-01-24 18:40:46</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Professor</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Computer Science</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other</td>\n",
       "      <td>partly</td>\n",
       "      <td>...</td>\n",
       "      <td>Other</td>\n",
       "      <td>Other</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>405.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>2019-01-24 18:43:32</td>\n",
       "      <td>2019-01-24 18:56:51</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Professor</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Computer Science</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Rarely</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>Rarely</td>\n",
       "      <td>Rarely</td>\n",
       "      <td>NaN</td>\n",
       "      <td>802.05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 94 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Response ID         Date started     Date last action  \\\n",
       "0            2  2019-01-24 08:37:24  2019-01-24 08:40:56   \n",
       "1            3  2019-01-24 10:10:30  2019-01-24 10:16:33   \n",
       "2            4  2019-01-24 10:20:13  2019-01-24 10:33:42   \n",
       "3            6  2019-01-24 18:34:03  2019-01-24 18:40:46   \n",
       "4            7  2019-01-24 18:43:32  2019-01-24 18:56:51   \n",
       "\n",
       "   [Yes, I have read the privacy policy and agree./ Ja, ich habe die Datenschutzerklärung gelesen und stimme zu.]  \\\n",
       "0                                                Yes                                                                \n",
       "1                                                Yes                                                                \n",
       "2                                                Yes                                                                \n",
       "3                                                Yes                                                                \n",
       "4                                                Yes                                                                \n",
       "\n",
       "  What is your current position? What is your current position? [Other]  \\\n",
       "0                    PhD Student                                    NaN   \n",
       "1                    PhD Student                                    NaN   \n",
       "2                        PostDoc                                    NaN   \n",
       "3                      Professor                                    NaN   \n",
       "4                      Professor                                    NaN   \n",
       "\n",
       "  What is your primary area of study?  \\\n",
       "0                    Computer Science   \n",
       "1                    Computer Science   \n",
       "2                      Biology(other)   \n",
       "3                    Computer Science   \n",
       "4                    Computer Science   \n",
       "\n",
       "  What is your primary area of study? [Other]  \\\n",
       "0                                         NaN   \n",
       "1                                         NaN   \n",
       "2                                         NaN   \n",
       "3                                         NaN   \n",
       "4                                         NaN   \n",
       "\n",
       "  Do you think there is a reproducibility crisis in your field of research?  \\\n",
       "0                                                Yes                          \n",
       "1                                                Yes                          \n",
       "2                                                 No                          \n",
       "3                                              Other                          \n",
       "4                                                Yes                          \n",
       "\n",
       "  Do you think there is a reproducibility crisis in your field of research? [Other]  \\\n",
       "0                                                NaN                                  \n",
       "1                                                NaN                                  \n",
       "2                                                NaN                                  \n",
       "3                                             partly                                  \n",
       "4                                                NaN                                  \n",
       "\n",
       "     ...      \\\n",
       "0    ...       \n",
       "1    ...       \n",
       "2    ...       \n",
       "3    ...       \n",
       "4    ...       \n",
       "\n",
       "  Where do you save your experimental metadata like descriptions of experiment, methods, samples used? [Data Management Platforms]  \\\n",
       "0                                     Primary Source                                                                                 \n",
       "1                                   Secondary Source                                                                                 \n",
       "2                                                NaN                                                                                 \n",
       "3                                              Other                                                                                 \n",
       "4                                                NaN                                                                                 \n",
       "\n",
       "  Where do you save your experimental metadata like descriptions of experiment, methods, samples used? [Other]  \\\n",
       "0                                     Primary Source                                                             \n",
       "1                                                NaN                                                             \n",
       "2                                                NaN                                                             \n",
       "3                                              Other                                                             \n",
       "4                                                NaN                                                             \n",
       "\n",
       "  Do you write scripts or program to perform data analysis at any stage in your experimental workflow?  \\\n",
       "0                                                Yes                                                     \n",
       "1                                                Yes                                                     \n",
       "2                                                 No                                                     \n",
       "3                                                Yes                                                     \n",
       "4                                                Yes                                                     \n",
       "\n",
       "  Have you heard about the FAIR (Findable, Accessible, Interoperable, Reusable) principles?  \\\n",
       "0                                                Yes                                          \n",
       "1                                                Yes                                          \n",
       "2                                                Yes                                          \n",
       "3                                                 No                                          \n",
       "4                                                Yes                                          \n",
       "\n",
       "  Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Findable]  \\\n",
       "0                                              Often                                                          \n",
       "1                                              Often                                                          \n",
       "2                                              Often                                                          \n",
       "3                                                NaN                                                          \n",
       "4                                             Rarely                                                          \n",
       "\n",
       "  Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Accessible]  \\\n",
       "0                                              Often                                                            \n",
       "1                                              Often                                                            \n",
       "2                                             Rarely                                                            \n",
       "3                                                NaN                                                            \n",
       "4                                          Sometimes                                                            \n",
       "\n",
       "  Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Interoperable]  \\\n",
       "0                                          Sometimes                                                               \n",
       "1                                          Sometimes                                                               \n",
       "2                                          Sometimes                                                               \n",
       "3                                                NaN                                                               \n",
       "4                                             Rarely                                                               \n",
       "\n",
       "  Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Reusable]  \\\n",
       "0                                              Often                                                          \n",
       "1                                          Sometimes                                                          \n",
       "2                                          Sometimes                                                          \n",
       "3                                                NaN                                                          \n",
       "4                                             Rarely                                                          \n",
       "\n",
       "  Please feel free to provide comments regarding what you think is important to enable understandability and reproducibility of scientific experiments in your field of research.  \\\n",
       "0                                                NaN                                                                                                                                \n",
       "1                                                NaN                                                                                                                                \n",
       "2                                                NaN                                                                                                                                \n",
       "3                                                NaN                                                                                                                                \n",
       "4                                                NaN                                                                                                                                \n",
       "\n",
       "  Total time  \n",
       "0     215.17  \n",
       "1     365.51  \n",
       "2     811.73  \n",
       "3     405.30  \n",
       "4     802.05  \n",
       "\n",
       "[5 rows x 94 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Print the first 5 rows of the dataset\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:03.384616Z",
     "start_time": "2020-05-28T12:20:03.376962Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:03.384Z",
      "execution_time": "8ms",
      "outputs": [
       {
        "data": {
         "text/plain": "(101, 94)"
        },
        "execution_count": 4,
        "metadata": {},
        "output_type": "execute_result"
       }
      ],
      "source": "# The size of the dataframe: the total number of rows and columns in the dataset\ndf.shape",
      "start_time": "2020-05-28T12:20:03.376Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(101, 94)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The size of the dataframe: the total number of rows and columns in the dataset\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:03.402718Z",
     "start_time": "2020-05-28T12:20:03.390647Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:03.402Z",
      "execution_time": "12ms",
      "outputs": [],
      "source": "# Set the configurations for the chart\nfontsize = 14\nchart_color = \"#1565C0\"\ncolors = ['#2196F3', '#90CAF9', '#E3F2FD']",
      "start_time": "2020-05-28T12:20:03.390Z"
     }
    ]
   },
   "outputs": [],
   "source": [
    "# Set the configurations for the chart\n",
    "fontsize = 14\n",
    "chart_color = \"#1565C0\"\n",
    "colors = ['#2196F3', '#90CAF9', '#E3F2FD']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:03.422095Z",
     "start_time": "2020-05-28T12:20:03.407464Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:03.422Z",
      "execution_time": "15ms",
      "outputs": [],
      "source": "# Function to draw chart provided the column title\ndef draw_bar_chart(title, df=df):\n    ax = df[title].value_counts().plot(kind=\"bar\", figsize=(15,7), color=chart_color, title=title)    \n    plt.xticks(fontsize=fontsize)\n    for spine in plt.gca().spines.values():\n        spine.set_visible(False)\n    plt.yticks([])\n    total = len(df[title])\n    # This loop adds the annotations\n    for p in ax.patches:        \n        percentage = '{:0.2f}%'.format(100 * float(p.get_height())/total)\n        width, height = p.get_width(), p.get_height()\n        x, y = p.get_xy() \n        ax.annotate(percentage, (x, y + height + 0.2), fontsize=14)",
      "start_time": "2020-05-28T12:20:03.407Z"
     }
    ]
   },
   "outputs": [],
   "source": [
    "# Function to draw chart provided the column title\n",
    "def draw_bar_chart(title, df=df):\n",
    "    ax = df[title].value_counts().plot(kind=\"bar\", figsize=(15,7), color=chart_color, title=title)    \n",
    "    plt.xticks(fontsize=fontsize)\n",
    "    for spine in plt.gca().spines.values():\n",
    "        spine.set_visible(False)\n",
    "    plt.yticks([])\n",
    "    total = len(df[title])\n",
    "    # This loop adds the annotations\n",
    "    for p in ax.patches:        \n",
    "        percentage = '{:0.2f}%'.format(100 * float(p.get_height())/total)\n",
    "        width, height = p.get_width(), p.get_height()\n",
    "        x, y = p.get_xy() \n",
    "        ax.annotate(percentage, (x, y + height + 0.2), fontsize=14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:03.461047Z",
     "start_time": "2020-05-28T12:20:03.429083Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:03.461Z",
      "execution_time": "32ms",
      "outputs": [],
      "source": "# Function to draw chart with multiple columns provided the column title\ndef draw_bar_chart_mul_col(column_array, title, df=df):\n    df1 = pd.DataFrame(df[column_array]) \n    ax = df1.apply(pd.Series.value_counts, dropna=True).plot(kind=\"bar\", figsize=(15,9), zorder=2, width=0.8, title=title)\n    ax.legend(loc='best')    \n    ax.spines['right'].set_visible(True)\n    ax.spines['top'].set_visible(True)\n    ax.spines['left'].set_visible(True)\n    ax.spines['bottom'].set_visible(True)\n    plt.xticks(fontsize=fontsize)\n    for spine in plt.gca().spines.values():\n        spine.set_visible(False)",
      "start_time": "2020-05-28T12:20:03.429Z"
     }
    ]
   },
   "outputs": [],
   "source": [
    "# Function to draw chart with multiple columns provided the column title\n",
    "def draw_bar_chart_mul_col(column_array, title, df=df):\n",
    "    df1 = pd.DataFrame(df[column_array]) \n",
    "    ax = df1.apply(pd.Series.value_counts, dropna=True).plot(kind=\"bar\", figsize=(15,9), zorder=2, width=0.8, title=title)\n",
    "    ax.legend(loc='best')    \n",
    "    ax.spines['right'].set_visible(True)\n",
    "    ax.spines['top'].set_visible(True)\n",
    "    ax.spines['left'].set_visible(True)\n",
    "    ax.spines['bottom'].set_visible(True)\n",
    "    plt.xticks(fontsize=fontsize)\n",
    "    for spine in plt.gca().spines.values():\n",
    "        spine.set_visible(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:03.483561Z",
     "start_time": "2020-05-28T12:20:03.471756Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:03.483Z",
      "execution_time": "12ms",
      "outputs": [],
      "source": "# Function to draw pie chart provided the title\ndef draw_pie_chart(title, df=df):  \n    labels = df[title].value_counts().index\n    fig, ax1 = plt.subplots(figsize = (7,7)) \n    ax1.pie(df[title].value_counts(), autopct = '%0.2f%%', colors=colors, textprops={'fontsize': 14})\n    ax1.legend(labels, loc = \"upper right\") \n    plt.title(title, bbox={'facecolor':'1.0', 'pad':5})\n    plt.tight_layout()\n    plt.show()",
      "start_time": "2020-05-28T12:20:03.471Z"
     }
    ]
   },
   "outputs": [],
   "source": [
    "# Function to draw pie chart provided the title\n",
    "def draw_pie_chart(title, df=df):  \n",
    "    labels = df[title].value_counts().index\n",
    "    fig, ax1 = plt.subplots(figsize = (7,7)) \n",
    "    ax1.pie(df[title].value_counts(), autopct = '%0.2f%%', colors=colors, textprops={'fontsize': 14})\n",
    "    ax1.legend(labels, loc = \"upper right\") \n",
    "    plt.title(title, bbox={'facecolor':'1.0', 'pad':5})\n",
    "    plt.tight_layout()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "## Research Context of the Survey Participants"
     }
    ]
   },
   "source": [
    "## Research Context of the Survey Participants"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Current Position of Survey Participants"
     }
    ]
   },
   "source": [
    "### Current Position of Survey Participants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:03.967420Z",
     "start_time": "2020-05-28T12:20:03.488821Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:03.967Z",
      "execution_time": "479ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x504 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "draw_bar_chart('What is your current position?')",
      "start_time": "2020-05-28T12:20:03.488Z"
     }
    ],
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_bar_chart('What is your current position?')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Primary Area of Study of the Survey Participants"
     }
    ]
   },
   "source": [
    "### Primary Area of Study of the Survey Participants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:04.438890Z",
     "start_time": "2020-05-28T12:20:03.972608Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:04.438Z",
      "execution_time": "466ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x504 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "draw_bar_chart('What is your primary area of study?')",
      "start_time": "2020-05-28T12:20:03.972Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_bar_chart('What is your primary area of study?')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "## Reproducibility"
     }
    ]
   },
   "source": [
    "## Reproducibility"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Do you think there is a reproducibility crisis in your field of research?"
     }
    ]
   },
   "source": [
    "### Do you think there is a reproducibility crisis in your field of research?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:04.689175Z",
     "start_time": "2020-05-28T12:20:04.443043Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:04.689Z",
      "execution_time": "246ms",
      "outputs": [
       {
        "data": {
         "image/png": 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K/qA5dOhQtQeFVJW5Oir6fFT1HSkrISGh1HiA6qz/ks6dO+OLL77AqVOnMGzYMAwfPrzC5UaOHIl169bh4MGDUBQFkydPrmKLaqdbt26oV68e1q5di8WLF7u3+Ur7l6rey0uuZl+QkJCAp556qtTn9uLFi7j77rvLLVv2c3fo0KFK11v283tp+cr2mxWpyX7AbDbj1Vdfhd1ux//+9z/MmTMHK1euREJCApKTk0ttX25uLpYvXw4AsFqtSEtLw969e5GTk4NZs2aV+95fniMhIeGKp6RV5fjx4zX+DnmCzxTdnJwcLF26FHfddRfuvfdetG3bFnq9HsOHD8dTTz3lHuE8Z86cKs/HGj16NBYsWID//e9/pXYod999N1577TXs378fqqpi6tSpGDFiBAwGA1JSUpCfn49ly5ahqKgIM2fOREFBQaXPERsbe1VvfnX069cPixYtwm233Yaff/650hxHjhwpNfigKoMGDcKePXuwcOFCFBUVoaioCJs2bcLOnTsrXF6n02HcuHGYNGkSTp06BcDVC/H1119f8bk2bdqEjRs3oqioCCEhIQgKCqrwNLDCwkIUFBQgOjoaBoMBK1aswDfffFOt7blkwoQJeOGFF7Bjxw4ArsExZUcnvvLKKzh37hwOHz6MN954AyNGjKh0fVV9Vu644w4sXboU69atQ2FhIZ5++ulSA/vS09OxfPlynD17FidOnMDrr7/uvq9Lly5o1KgRpkyZggsXLiA/P7/KH1U1yVyR2NhYZGVllRoEBlT+HSlr7NixmD59Ovbu3QshBH777bdSPzAqU1hYiEWLFiE7OxtGoxGhoaEVvve7d+/G999/j4KCAgQFBSE4ONhjpwqOHj0aEydOhNFodLd0rrR/SU9Px5o1a3Do0CFkZ2fjhRdeqNNM48aNw/z587Fx40YIIXDhwgUsW7YMubm55ZYdPnw4XnjhBZw7dw5HjhzBm2++Wel6b775ZuzZsweLFy9GcXExPvnkE2RkZGDQoEG1ynml/cDSpUuRmZkJIQQaNmwIvV4PnU6HLl26wGw246WXXkJeXh4cDge2b9/uHgSWm5uL0NBQmEwm7Nq1q9SP/4oMGjQIx48fx+uvv46CggLk5uZi48aN1d6Ozz//3CdOaZRedAcPHgyz2YyEhAQ8//zzeOyxx0qNRHzzzTcREhICi8WCXr16YeTIkbj//vsrXV/Pnj2h0+lwzTXXlOpiuf/++zFq1Cj06dMHycnJCAoKcn9wGzZsiLfffhtjx45FkyZNEBISUuWJ5w888AAyMjIQFhaGYcOG1cGrULHrr78eH3zwAQYPHowtW7aUu79///5o3bo14uLiEBUVdcX1mc1mfPPNN/jXv/6Fxo0bIy4uDpMnT67yB8ZLL72E5s2bo1u3bggNDcWAAQOqdZ5lTk4Oxo0bh/DwcPdI3yeeeKLCTHPnzsXw4cMRHh6OxYsXY8iQIVdc/+VuvfVWTJ48GXfddRdCQ0PRpk0brFixotQyQ4cORceOHZGeno5bbrmlytPSqvqstG7dGvPmzcPIkSPRqFEjhIeHl/qsjBo1Cu3bt0dSUhIGDhxYqlDq9Xp8+eWXyMzMRNOmTREfH49PPvmk0hw1yVyRtLQ03H333bBYLAgLC3N3W1b2HSnrsccew/DhwzFw4ECEhobigQceqHTkelkLFy5EUlISQkNDMX/+fCxatKjcMgUFBZgyZQqioqIQFxeHU6dO1Xlhu2TUqFHYvn17uR/sVe1frr/+eowYMQLt2rVDx44da120KtOpUye89957mDhxIsLDw9G8eXMsWLCgwmWfeeYZJCYmIjk5GQMHDqzyx1JkZCSWLl2KV199FZGRkXj55ZexdOnSau0jKlPVfmDv3r0YMGAATCYTunfvjoceegjXXnst9Ho9li5diq1btyI5ORlRUVEYO3as+0fg7NmzsXjxYpjNZowbN+6KPyrNZjO+/fZbfPnll4iLi0OLFi3www8/VHsb7rnnnlJna8gSkFP79e/fHyNHjsTYsWO99pzkuxRFwd69e9G8eXPZUXyG1r4jeXl5iImJwZYtW9ynnxCV5Y2p/aRekcoTNm3ahC1btuCLL76QHYXIJ2nxO2Kz2dC5c2cWXJIuoIrufffdhyVLluCNN96A2WyWHYfI52jxO5KUlAQhBJYsWSI7ClFgdi8TERHVlDe6l6UPpCIiItIKFl0iIiIvYdElIiLyEq8MpAoKCjqpKEqsN56LiIioNoKCgjw+/ZBXBlIRERERu5eJiIi8JqDO0yUiIs/avHlzjMFgeB9AG2ir4eYEsL24uHhsx44dT9V2JSy6RERUbQaD4f24uLiW0dHR53Q6nWaOTzqdTuX06dOtTpw48T6Aml0g/jJa+pVCRERXr010dHSOlgouAOh0OhEdHZ0NVwu/9uupozxERKQNOq0V3EtKtvuq6iaLLhERkZfwmC4REdWaxaZ2rMv12a2mzVXd73Q60blz59TJkycfHz58eA4AfPDBB+Effvhh1Nq1a/fWZRZPYEuXiIj8hk6nw/z58w9OmTIl4eLFi0p2drbu2WefbTJ//vxDsrNVB1u6RETkVzp37pw/cODA7OnTp8dduHBBP3z48KzWrVsXvPnmm5HvvvtuTFFRkdKpUyf1o48+OuR0OnHnnXcmZ2RkBAshlPvuu+/0tGnTan3Kz9Vi0SUiIr/z8ssvH2vXrl2revXqObdt27Zz06ZNQV988UXYli1bdhqNRtx9992J7733XkRKSkrB2bNnDXv27MkAgDNnzuhl5mbRJSIivxMaGuocNmzYWZPJ5AgODhYrVqwI/e2330Latm3bCgDy8/N18fHxhcOGDcu22+1BY8aMSRg8eHD2rbfemiMzN4suERH5JZ1OB53ONTRJCIG77777zBtvvHGs7HI7duzY8fnnnzecN29ezGeffRb+z3/+86DXw5bgQCoiIvJ7N910U+4XX3wRcfz4cQMAnDhxQr937956x44dMzidTtx///3nZs6cefT3339vIDMnW7pERFRrVzrFx1u6dOmSN2XKlGPXXnttitPphNFoFG+//fZBvV6PcePGJQkhoCgKnn/++SMyc3JqPyIiqrZt27YdaN++/RnZOWTZtm1bVPv27ZNq+3h2LxMREXkJiy4REZGXsOgSERF5CYsuERGRl7DoEhEReQmLLhERkZfwPF0iIqq1NzYV1unUfo90rnfF834VRek4duzYk++9994RAHj66adjVVXVz5kzp9zVqHwNW7pERORX6tWrJ5YvXx5+6epT/oRFl4iI/IperxejR48+PWvWrNiy9+3evbtet27dUlJSUlp17949Ze/evfVkZKwMiy4REfmdJ5544tR//vOfiKysrFJT9Vmt1qb33HNP1p49ezJGjBiRZbVaE2RlrAiLLhER+Z2IiAjnnXfemfXiiy/GXH77r7/+GjJ+/PizAGC1Ws9u3rzZJCdhxVh0iYjILz355JMnFy9eHHXhwgW/qWV+E5SIiOhysbGxjsGDB59bvHhx1KXbOnTocOH9998PB4B33nknolOnTqq8hOX53cgvIiLyHdU5xceTnnrqqRMfffRR9KW/58+ff2j06NFJb7zxRlxkZGTxxx9/fEBivHJYdImIyK9cvHjx10v/n5CQUJyXl+f+OyUlpXDDhg175CS7MnYvExEReQmLLhERkZew6BIREXkJiy4REZGXsOgSERF5CYsuERGRl/CUISIiqrUjuc46ndov3qyr1nm/+/btM44fP75pZmZmsNPpxIABA7JtNtuRLVu2BB0+fLjeiBEjsgHgsccea2wymRx///vfT9ZlztpiS5eIiPyK0+nEsGHDmg8ZMuT8wYMHt+/fv3/7hQsXdI888kiTX375pcGyZcsa1tVzFRcX19WqALDoEhGRn/nyyy/N9evXdz7yyCNZAGAwGDB//vzD//znP6NmzJgR/+WXX4anpaW1eu+998IBYOfOncFdunRJjY+Pbztz5kz3BAlvv/12RNu2bVumpaW1GjlyZOKlAtugQYMO48aNi09NTW21cuXKOp0wgUWXiIj8yu+//x7cvn37i5ffFhER4WzSpEnhY489dnzw4MHndu3alTFu3LhzAJCZmRm0evXqPZs2bdo5e/bsxgUFBcqWLVuCPvvss4hffvll165duzJ0Op2YP39+JADk5eXpunbtemH37t0ZN9xwQ51eu5nHdImIKKANHDjwfHBwsAgODi6OiIgoOnLkiOGrr74yb9++vUH79u1bAkB+fr4uJiamGAD0ej3GjBlzzhNZWHSJiMivtGnTJm/JkiXhl9929uxZ3fHjx+sZDAZRdvn69eu7b9Pr9SguLlaEEMqdd96ZNW/evKNll69Xr57TYPBMeWTRJfIxFptqAhAGIByAGYAegFKNf0UAci7/Z7ea8rydn8jThgwZkjtt2jTdW2+9FTlx4sSs4uJiPPTQQwl33nnnmbi4uKKff/455ErruPHGG3Nuu+225lOnTj3ZpEmT4pMnT+qzs7P1KSkphZ7MzqJL5GEWmxoEoCmAJACJJf9i8UdhDbvsX0PU4ffSYlOLAOTCVYSzL/vvcQCHABy+7L+H7VZTQV09N2lDdU/xqUs6nQ5LlizJHD9+fOIrr7zSyOl0on///tlz5849mpOTo5s9e3ajtLS0Vn/961+PV7aOjh075k+bNu3oddddl+J0OmE0GsXcuXMPebroKkKUa4kTUQ1ZbGoCgNYAkvFHcb3031i4WqK+TgA4jdKFeD+ADAAZdqvpiMRs5CO2bdt2oH379mdk55Bl27ZtUe3bt0+q7ePZ0iWqAYtNrQ9XcW1/2b92ACJk5qojCoCYkn/lLnhgsak5cBXgHQB+A7AVwDa71ZTtzZBE/oxFl6gSJd3C3QB0wR8FNhXa/d6EwvV6dLv8RotNPQBXAd4AYC2AX+xWk0e76Ij8lVZ3HkTlWGxqCICeAPoA6AtXsa0nNZR/SCr5N6zk7zyLTf0ZwDq4ivBPdqspV0408gCn0+lUdDqd5o5NOp1OBYDzatbBokuaZbGpoQB6wVVg+8LVpcrvxNULxh+vKQA4LDZ1G/4owqvsVpNmjwkGgO2nT59uFR0dna2lwut0OpXTp083BLD9atbDgVSkGRabqgC4BsBgADeX/L9eaihtcgJYD+BLAF/araYMyXmoBjZv3hxjMBjeB9AG2rqqoRPA9uLi4rEdO3Y8VduVsOhSQCs5Lns9XIX2FgCN5SaiCthRUoABrLFbTUWS8xB5DIsuBRyLTTUDGATgNgA3AbjiifLkM7IBfA1XAV5mt5o8cik+IllYdCkglJzKMwzAvXC1bOvLTUR1oBDAMgAL4SrAHBFNfo9Fl/yaxaZ2BTAGwAi4ru5EgSkLwCcAPrZbTRtlhyGqLRZd8jsWm9oIwCgA9wFoJTkOed8euFq/C+1W00HZYYhqgkWX/EJJ9/FQuFq1A8FRx+S6bOUaAB8A+ITXjSZ/wKJLPs1iUxsDmAhgPIBIyXHId50EMB+AzW41nZQdhqgyLLrkkyw2tQOAx+A6VmuUHIf8RyFcx35ft1tNW2SHISqLRZd8RsnFKwYDmASgn9w0FADWAXgDwH/tVpNDdhgigEWXfIDFpjaA61jtIwBS5KahAHQIwDwA73BGJJKNRZeksdjUMLi6kB9GYEyNR77tHIDX4Op65gQMJAWLLnmdxaaa4GrVPg4gTHIc0p4sAK8CeNNuNamyw5C2sOiS15RcB/lhAJMBREuOQ3QawCsA5tmtpouyw5A2sOiSx1lsaj0AYwE8BU44QL7nJICX4TrdKE92GApsLLrkMRabqofrqlHT4ZrknMiXnQDwPID5dqupWHYYCkwsuuQRFpt6C4A54Ghk8j8ZAB61W03fyg5CgYdFl+qUxaY2g+vcyFtkZyG6Sl8AeMxuNdllB6HAwaJLdaLkXNupcI1I5rR6FCgK4Oqxed5uNV2QHYb8H4suXTWLTb0DrlMwmsrOQuQhRwFMtltNi2QHIf/Goku1ZrGpLQHMBTBAdhYiL/kJwF/sVtNm2UHIP7HoUo1ZbGoIgBlwXeCCkxGQ1jgBvA5gGk8xoppi0aUasdjU3gA+BNBMdhYiyfYAuN9uNf0oOwj5DxZdqhaLTQ0GMAsyORYKAAAgAElEQVTAXwDoJMch8hVOuA6xTGWrl6qDRZeuyGJTuwFYACBVchQiX7UXrlbvOtlByLex6FKlLDa1PoBn4ToNSC85DpGvcwJ4C8CTvJYzVYZFlypksanXAPgYQGvZWYj8zD64Wr1rZAch38OiS6WUXC95OlyTExgkxyHyV064xkDMsFtNDtlhyHew6JKbxabGAfgXgL6ysxAFiHUA7rZbTUdkByHfwFGoBACw2NR+AH4FCy5RXeoFYJvFpg6WHYR8A1u6GmexqQqAKQCeAwdLEXnSqwCmcNpAbWPR1TCLTQ0HsBCcEYjIW9YCGGG3mo7LDkJysOhqlMWmdgLwKTi5PJG3nYTrOO8PsoOQ9/GYrgZZbOrDAH4ECy6RDLEAvrXY1L/KDkLex5auhlhsqhHAuwDGSI5CRC7vAXiIx3m1g0VXIyw2NQzAfwBcKzsLEZWyEsAddqvpvOwg5HksuhpgsanJAJYDSJOdhYgqtAvALXaryS47CHkWj+kGOItN7QpgA1hwiXxZGoCNFpvaS3YQ8iwW3QBmsal3APgBQIzsLER0RVEAVlps6r2yg5DnsHs5QFls6hMAXgKgyM5CRDU2E8DTdquJO+gAw6IbYCw21QDX9GIPys5CRFdlEYAxHNkcWFh0A4jFpgYB+Ay8whRRoPgvgLvsVlOh7CBUN1h0A4TFppoA/A88JYgo0HwF4Da71ZQnOwhdPRbdAFByDu4KAN1kZyEij1gNYJDdalJlB6Grw6Lr5yw2NRrANwDSZWchIo/aCOBGXkTDv7Ho+jGLTY0F8D2AVrKzEJFXbAUw0G41nZYdhGqH5+n6KYtNjYPrHFwWXCLtSAew2mJTG8sOQrXDlq4fKvnCfQ8gVXYWIpLCDuBau9V0SHYQqhkWXT9jsamNAKwCkCI5ChHJtRdAL7vVdEp2EKo+di/7EYtNDYdr0BQLLhG1APC1xaY2lB2Eqo9F109YbGowgKUA2sjOQkQ+Ix3AMotNbSA7CFUPi64fKLm042cAesjOQkQ+pyeAzyw21Sg7CF0Zi66Ps9hUBcCHAG6WnYWIfNZNABZabCr36T6Ob5DvmwOAU30R0ZWMAGCTHYKqxqLrwyw2dSqAR2XnICK/Md5iU1+UHYIqx1OGfJTFpo4D8K7sHETklx63W02vyg5B5bHo+iCLTR0G18ApvewsROSXnACG2a2mL2UHodJYdH2Mxaa2A/ATgBDZWYjIr+UC6GG3mrbLDkJ/YNH1IRabGgVgE4AkyVGIKDDsB9DFbjWdkR2EXDiQykeUnIv7KVhwiajuJAP4nOfw+g4WXd/xBoB+skMQUcDpA+Bt2SHIhUXXB1hs6ngAD8nOQUQBa6zFpvL0Qx/AY7qSWWxqL7im6WP3DxF5kgPALXar6WvZQbSMRVcii01tCtfAqRjZWYhIE7IBdLVbTbtlB9Eqdi9LUjJr0BKw4BKR9zQE8G+LTQ2SHUSrWHTlmQugg+wQRKQ57eC6pjtJwO5lCSw29Q64Tg8iIpLlDrvV9LnsEFrDoutlJcdxtwEIk50lUJ1bOgvnl79Q6jZ9aAyavrgPAODIOYWzS6Yjb+f3cF7MRlCLnogc/gqMMc2rtf78zJ9w/PWbYYxNQfz0n923Fx7biXPLnkfhoW0ozjqAsJufRPigqaUeq/78Cc4ueQai4AJM3e9B5B1/XJu++PwxHJ99PRr/7QfoQ3nUgTzuPIB0u9V0UHYQLTHIDqAlFpuqB7AILLgeZ4xtgbhHV7j/VnSuIylCCJx85y5A0SH2wX9CCQ5Fzsq3cHzuEMRP3wRd/aqvvum4eA6nP3oQwan9UHz+WKn7ROFFGCKaIiR9CM7977nyj1XP4MyiiYgaNR/GqCScePsOBKf2RYO2NwEAsv71GMJu+hsLLnlLGIB/WmxqH7vVVCw7jFbwmK53TQPQS3YITdAZYGgY6/6nN0cDAIpPZaJg/yZE3vUa6id1Qr3YFETe9TpEYR4u/HLlHv8zCx+GqdtI1E/uUu6++kkdEXn7LJg6D4dSL7jc/cVnDkAXHApTp9tRP6kjglP6oPCEaxDphV+/gDMvB6Yeo69yw4lqpDuAmbJDaAmLrpeUnI87XXYOrSg+cwCHnmyBw9Pb4NQ/xqDozH4AgCguBAAoxvruZRWdDoqhPvL3ra9ynTmr34Mj9xTCbvpbrTIZYprBWZiHgsPb4LhwFgUHt6BekzZw5mXj7H+mIeqeuVAUpVbrJroKf7PY1IGyQ2gFi64XWGxqGFzdypyqzwvqJ3dC1Oj5iHv4v4i65004ck7i+OwBcKhZMMalQB+RgHNfPAvHhbMQxYU4/80cOM4fhSP7ZKXrLDy6A+eWv4DoMe9D0dXubdQ3CEf06Pk4/dF4HHv5Wpi63o0GrQbg7H+nw9xjNBy5Z3D0xT448mxH5Kz5R203n6imFAALLTY1TnYQLeAxXe94D0BT2SG0okHr0j/a6yd1xuGn20LduBgNr/szYscvwpn/exiHnkgEdHoEp12L4NYDgUoGFYqiApz6x32IuO15GKOSripbSPoQhKQPcf+dn/kTCvZvQsRts3Dk2WsQfd+7MDZKw9HnuyGoWTfUa9L6qp6PqJpiACwAcKPkHAGPRdfDLDb1fgB3yM6hZbogE+o1aomiU67Ry/WbdkCTqT/BmZcNUVwIvTkax16+FvWaVnzadHHOCRSd2I0zC604s9DqulE4ASGwf2IYYh/6HA1aXVfjXKKoAGf++Sii7n0LxWcOQDgKEZzWDwAQ1KI38vasZdElb7rBYlPH2K2mBbKDBDIWXQ+y2NRG4Eno0jmL8lF0cg+CUvuUul0X3BAAUHQqEwUHtyBs0LQKH28Ia4wm0zaWui1n9XvI2/UDYh9cDENE7Toxzn89G8GpfRGU3AUFh38DHI4/7nQUAsJR+YOJPGOOxaZ+ZbeaTsgOEqhYdD3rLbguu0ZelPX5VDRoezMMEfFw5J7G+RUvwVl4EaauIwEAF7b8F7qQSBgiE1B4dAfOfjoZDdoPKtVaPb1gPAAgesy7UPRG1GvcqtRz6M3RUAz1St0uigtReHxXyf8XwJFzEgWHf4OufgiMMc1KPb7w+C6om/6NJk+uA+A6xQl6PXLW/AP1Gqchb/dqhN00ue5fHKKqhQOYB+B22UECFYuuh1hs6jAAt8nOoUWO88dw+sM/waFmQW+KQv3kzmj8xPcwRrpapMXZJ5D92ZNw5J6CvmEczF3vLlfgis8drvHzFmcfx7EXerr/zj1tR+66DxDUohcaTfrjnGEhBM4s/jMib38BuiAzAEBXLxjR972HrE/+CmdeNsJueBz1E6+pzeYTXa3bLDb1dl6tyjN4RSoPsNjUhgAyADSWnYWIqBZOAmhpt5rOyQ4SaHjKkGe8CBZcIvJfsQBekx0iELGlW8dKLoKxBq5z34iI/NmNnPS+brHo1iGLTa0PYCuANNlZiIjqwEEAbexWkyo7SKBg93LdegosuEQUOBIBlJ+9g2qNLd06YrGpreBq5RplZyEiqkPFANraraZdsoMEArZ0686rYMElosBjADBbdohAwZZuHbDY1BsAfCU7BxGRB91gt5q+kR3C37HoXqWSiem3AmgjOwsRkQftANDebjXx+qRXgd3LV+9+sOASUeBrDeBB2SH8HVu6V8FiU00AMuE6kZyIKNCdAdDCbjWdlx3EX7Gle3WmgAWXiLQjCsDTskP4M7Z0a8liU+MB7AEQLDsLEZEXFQFobbea9soO4o/Y0q29F8CCS0TaYwRPIao1tnRrwWJTOwH4Gby+MhFpV3e71bRBdgh/w5Zu7cwECy4RadvfZQfwR2zp1pDFpnaGq5VLRKR1ve1W0zrZIfwJW7o1N012ACIiH8HWbg2xpVsDFpvaHsCvYNcyEdEl/exW02rZIfwFW7o18xRYcImILjdddgB/wpZuNVlsaksA28EfKkREZXEkczWxgFTfVPD1IiKqCMe6VBNbutVgsanNAOwGoJedhYjIR3WwW01bZYfwdWy5Vc+TYMElIqrKk7ID+AO2dK/AYlMTAOyD69JnRERUsWIAyXar6YjsIL6MLd0rewgsuEREV2IAMEF2CF/Hlm4VLDa1PoDDAKJlZyEi8gOnASTYraYC2UF8FVu6VbsTLLhERNUVDWCE7BC+jEW3ag/LDkBE5Gf+LDuAL2PRrYTFpl4DoJvsHEREfqaTxaZy31kJFt3KPSQ7ABGRn5ooO4Cv4kCqClhsajiAowCCZWchIvJDhQCa2q2mk7KD+Bq2dCv2J7DgEhHVVj0AD8oO4YvY0i3DYlMVAHsANJedhYjIjx2D6/Qhp+wgvoQt3fKuBwsuEdHVagzgOtkhfA2LbnljZAcgIgoQ98oO4GvYvXwZi001ATgJoIHsLEREASAXQJzdarooO4ivYEu3tNvBgktEVFfMAIbKDuFLWHRLY1cIEVHd4n71MuxeLmGxqY0AHAF/iBAR1aViAI3tVtNp2UF8AQvMH4aDrwcRUV0zgJMguLHI/IEfCiIiz2AXcwl2LwOw2NSmAA4AUCRHISIKVC3sVlOm7BCysaXrMhwsuEREnjRSdgBfwKLrwq5lIiLPGiI7gC/QfPeyxaY2hmtGISIi8hwB1yjmE7KDyMSWLnCT7ABERBqgALhFdgjZWHSBm2UHICLSiEGyA8im6e5li001AjgDIFR2FiIiDVABRNqtpkLZQWTReku3J1hwiYi8xQSgn+wQMmm96PJ4LhGRd2n6uK7Wiy6P5xIReZemj+tq9piuxabGAzgsOwcRkQa1sltNO2WHkEHLLV22comI5NBsF7OWiy6P5xIRyXGt7ACyaLJ72WJTdQDOgSOXiYhkOA8gwm41aa4AabWl2wYsuEREsoTBtR/WHK0W3R6yAxARaVwv2QFkYNElIiIZesoOIINWi2532QGIiDROky1dzQ2kstjUaACnZOcgIiIk2K2mI7JDeJMWW7rsWiYi8g2aa+2y6BIRkSwsuhrA47lERL5Bc0VXU8d0S+bPzQYQLDsLERHBCcBst5ouyg7iLVpr6aaDBZeIyFfoALSWHcKbtFZ028sOQEREpWjqylRaK7qtZAcgIqJS2soO4E1aK7qa6sYgIvIDbOkGMBZdIiLfoqmWrmZGL1tsakO4ppMiIiLfEmW3mrJkh/AGLbV0eTyXiMg3aaa1y6JLRESysegGIB7PJSLyTZoZTKWlosuWLhGRb2JLNwCxpUtE5Juayw7gLZoYvWyxqQ0AXJCdg4iIKhVst5ryZYfwNK20dBNkByAioippYj+tlaIbLzsAERFVqansAN6glaLbRHYAIiKqElu6AYQtXSIi38aWbgBhS5eIyLex6AYQtnSJiHwbu5cDCFu6RES+jS3dAMKWLhGRb9NESzfgL45hsalGAAUAFNlZiIioShF2q+mc7BCepIWWbmOw4BIR+YMI2QE8TQtFN1p2ACIiqpaGsgN4mhaKrll2ACIiqpZQ2QE8jUWXiIh8BVu6AYBFl4jIP7DoBgAWXSIi/8CiGwBMsgMQEVG18JhuAGBLl4jIP7ClGwBYdImI/AOLbgBg0SUi8g/sXg4ALLpERP4h4PfXWii6HEhFROQfDLIDeJoWim7Av4lERAEi4GtSwG8gAKfsAEREVC162QE8jUWXiIh8RcDXJC10vbLoUsBpWA+nw4OVC7JzENUlIRDQc+kCLLpE/sY5IFG/tm20rt31FsNxUz2lu+xARHXooOwAnhbwTXmw6FKACA/CwQfTjdtbR+v7OqGEf213dDuS41wthBCysxHVkWLZATxNC0WXOyTyd6J3vH7NqNbGqCCD0u6y25WNx5x9t51ybhBCXJSWjqjuOGQH8DR2LxP5MHM9HB/R0ngsxKj0qWyZfedE9/P5jp19murDdIrSyJv5iOoYW7oBgEWX/FLnRrof/9TW2CDEqHS80rJZeWi5Yp9DX+QQO7yRjchDAr6ly6JL5GMaGHD6T22NG3s0MfRUFKXaF4DPL0bM0kxHs+wC8aMn8xF5EFu6ASDg30QKHO2idRvGtjfqQusrXWvzeKdA0Hf7HT0PZDtXcYAV+aGAb+lq4ZhuruwARFdSX4/zd6YZMyKDlR51sb7Nx539si4qG6+J07VWFIXXHyd/EfCNJC0U3YA/2Zr8W2qE7peByfomOqVuCu4lB7JF1+wCx55+ifoGOkWJr8t1E3nIedkBPE0L3csB/yaSfzLqoI5oaVh7o8XQyVOjjs/lI2V5piOo0CF+88T6ierYKdkBPE0LRZctXfI5yQ2VbQ+mG8/Fheh6e/q5ChyIWrrXkXYuX6z19HMRXSUW3QDAoks+Q68g/9YUw+rBzQ1t9TolwVvPK4B63x9w9Lafc64WQgT8YBXyW6dlB/A0LRzTZfcy+YQmJiVjWIqhvkGn9JWV4deTzr5n8pRfOjfSpSiKEiorB1ElAr6lq4Wiy5YuSaVTUHSTxfBjszCll6Io0r9zh3NEp5wCx77+SfpzOkVJlJ2H6DIBX3TZvUzkQTENlL0T0o37mofr+vlCwb0kuwDNlmU6QguKxa+ysxBdJuC7l7VQdNm9TDI4ByTpV9/V0tDUqFfSZIepSKED4csyHW2z8sQa2VmI4LowRpbsEJ6mBPpFayw2VQfXCdeK7CykDeFBODg8zZgTZFDays5SXW1jdGtahCs9fKk1TppzKt6si5UdwtMCvugCgMWmZgGIkJ2DAp7oHa9f2yFW10lRlAayw9RUE7OypWtjnUVRlDDZWUiTdsSbdW1kh/A0LXQvA8AR2QEosIXWw7Fx7Y2/XhOn7+OPBRcAjuaKa77d7zjvcAq77CykSQE/iArQTtE9LDsABa4ujXQ/jmlrDGlgVK6RneVq5RYiaVmmIzKvWPwiOwtpDotuAGHRpTrXwOiagq97Dafg83VFTjRcnunocOqCkwOsyJsCfuQywKJLVCvtonUbxrar/RR8fkC/9rCzz84zzrVCiCLZYUgTNNHS1cpIRRZdqhMlU/DtiAxWesrO4g0ZZ5y9z+Yp23rE6+IVRYmUnYcCmiaKrlZaugdlByD/lxqh+2V8ujFfKwX3khMXRPuv7Y48h1PslZ2FAtoJ2QG8QStFl6MxqdbKTMEXJzuPDBeKEL800xF3sUj8LDsLBaxdsgN4g1aK7lEA+bJDkP/x5hR8vq7YCfOKfY5OJ1TnatlZKOAUAMiUHcIbNHFxDACw2NSdAHzycnzke/QK8oe0MGxMMCt9FEXh1czKSI1QfmwdreukKEp92VkoIGyLN+vSZYfwBq20dAF2MVM1NTEpGRM6GI81DdX1ZcGt2O6zoufaw869QghNnOZBHrdDdgBv0VLR3S07APk2nYKiW5oZVt+eakgx6BSL7Dy+7vRF0eYru6Oo2Ck0cSyOPGq77ADeoqWi+7vsAOS7LpuCry8v+l99F4vQeOleR1O1UGyQnYX8Glu6AWib7ADkk5wDkvSr7mppSPTVKfh8nUOgwdd2R9ejuRxgRbWmmZaulgZS1QdwAYBedhbyDf44BZ+vax6urG8Xo0tXFCVYdhbyGxcBmOLNOk0UI820dO1WUwF4XJdcRO8E/ZpRrY3RLLh1K/Oc6L7mkGO/EMJnL3Sw4cc1+NOIoeiUmoCEUD3+vWhBqfuFEJgz61l0TIlH85gQ3Hlzf+zeeeXez3+8PRf9OrZC85gQdE5riqcem4gLquq+X83NxYzJk9CtdTKax4Rg2IBe2Lp5U6l1zJ/7KtItcUi3xOGdN+eUum/7tl/Rr2Mr5OXl1XrbfVSGVgouoKGiW+I32QFILvcUfLH+OwWfrzuTh1Yr9jlQ5BAZsrNU5KKqIrVVGzz70msICi7fILe9/grefWsOnnvlDSxdtRFR0dEYOfQGqLm5la7zv/9ejFlPT8afH38SP2zagdffWYAfvl2BZyY/6l7miT+Pw+qV3+C1+R/i2/Xb0Kf/9Rg5dCCOHzsKANi5/Te8+vwzmPfhYrz1wSK88tx07NzhGoricDjwt788iOdmz0VwBZn9nGaO5wLaK7o8rqthXRrp1gXKFHy+Lq8YcUszHZacAvGT7Cxl9b/hZkx55nncMuwO6HSld4FCCPzj7Tfw0KTJuHno7Uhr1QZz5i/ABTUXSz5dXOk6N29cjw6du+H2u0chITEJPfv2x+13jcKvv7gu4JWXl4cVX/wHU56dhe69+yG5WXM8NvUZJFmaY+H78wEAmXt2oWXrdujZtz969bsOLVu3w749roHh77/9BlJbtkbvawd46FWRSjPHcwEWXdKAkin4fu7exNArkKbg83VOgaBv9zt6HMp2rhZ+Mnjk0IH9OHXyBPr0v959W3BwMLr26I3NG9dX+rjO3Xsi4/et2PKzaxD30cOH8O2KL9F/4E0AAEdxMRwOB+rXDyr1uKCgYGza8CMAIK11W9gz9+Do4UM4cugg9u/bg9RWbXDowH589O48PP387LreXF+hqZau1k6NYPeyxrSL1q3v11SfoihKF9lZtGrTcWffMxeVjR3idG0URQmRnacqp0+5DkVHx8SWuj0qJhYnSrqBKzL0jrtw7uxZ3HFTPwghUFxcjNvvuhdT//4iAMBkNqNjl+6Y+8ospLZqg5jYOHzx6T+x+ef1SLI0BwC0SG2Jyc/MxMihNwAAJj/zPFqktsS9t96EJ6b9HRvXr8Wrz8+A0+nEE9P/jhsHDfPESyCDplq6miq6dqvpqMWmZgHgFGUBrr4e54enGTMigpUesrMQsD9bdD1f4NjdL1Fv0ilKE9l56tr6dasx9+WZeH7OW0jv1BUH7JmYMXkSXn1+Bh6f9iwA4PV3P8LjD49Fl7Sm0Ov1aNP+Ggy94y78vnWLez2jHpiAUQ9McP/9308WAQB6978efa9Jw5LvfoTT6cRtA3ujU9ceiIqO8e6G1r2ceLNOU1Ovaq17GWAXc8C7NAUfC65vOZeP1OWZjnqFDuGzPU7RMa5JpE6fOlnq9jOnTiImtvIJpl557mkMueMu3H3fWLRs3RY3Db4Vk5+eiflvvILi4mIAQJKlGT5b8QN2H8/Bxp0HsXTVBhQVF6FpUnKF6zyXlYVXZj6NF163YcumDUiytECL1JZIbdkaSZYW+PWXjXW01VJpqmsZ0GbR5ZVzApRRB/UujU/B5+sKHIheuteRdj5frJOdpSJNk5IRExuHtT98574tPz8fP69fh45du1f6uPy8i9DrS18CQKfXo6JD2Q1CQhAb1wjnz53DmpXfYOAtQypc59+n/hVjHpyIhMQkOJ1OFBcXue8rKiqEw+Go6eb5os2yA3ibprqXS6wBMFV2CKpbyQ2Vrbc0M0TqdYrmp+DzdQKot/KAo1eHON3q5IZKb0VRvPrj/4Kq4oDdNYuc0+nEscOHseO3rQgLj0CThKZ44KFH8NarL6B5SiqSm6dg7svPo0GICcPuHOlex12Dr0d6x86YMmMWAGDAjYPw3rzX0K5DR3Qo6V6ePfMZXHfjLTAYXLvZVd99DeF0ollKGg7YM/H89Mlo1iINw+/9U7mMa3/4Dnt27cTst/8BAGh/TWfs27sb3yz/H4QQsO/djfSOATFM4XvZAbxNi0X3RwAO8MpUAUGvIH9oC8PGeE7B53d+PeHsm3VR2dSpkS5VUZRQbz3vb7/+guG3XOf++9VZM/DqrBm4Y+RovDb/Q1gffQL5eXmY9tc/I/v8OaR36opFS76CyWx2P+bg/n1o1CTe/fdf/vYUFEXB7JnP4PixI4iIjMKAGwfhb0/PdC+Tm5ONF2c8hRPHjiAsPAI3DbkNf3t6JoxGY6l8eSXPPe/Dxe7Wc6PGTfDCa29j6qSHIYTAC6/bENeosadeIm9xAlglO4S3aeYykJez2NRNADrJzkFXp4lJyRiWYgjijED+rWF97OufpDfqFKWp7CzkVVvizbqOskN4mxaP6QKuLmbyUyVT8K26PdWQyoLr/7IL0GxZpsNUUCy2ys5CXqW5rmWARZf8TMkUfPbm4bp+iqLwEEGAKHQgYlmmo/XZPLFWdhbyGhZdDVkLQHv96n5MARzXJ+lXl0zBlyo7D9U9ARh/OOjovfesc40QIiCG5lKliuDaD2uOJo/pAoDFpv4OoI3sHHRlEUE4MDzNmFufMwJpRhOzsrlrY11zXrYzYP0Ub9b1lB1CBq22dAF2MfsD0SdBv/re1sYYFlxtOZorOn6333HW4RT7ZWchj9Bk1zLAoks+KrQejo5rb/y1Q6y+L6fg06acQiQvy3RE5BcLzV1AQQNWyg4gi5aL7g/gcV2fVDIFn5lT8FGREw2XZTrST18U/JEcOPIAVD5lU4DT7DFdALDY1A0AusrOQS4NjDg9Is24P7Q+ZwSi8lpH69amRijdFEUxXnlp8mEr4826gJwYuDq03NIFgC9lByCX9jG69WPbGfUsuFSZHaedvdcfde4QQpyVnYWuimaP5wIsuv+THUDr6utxflRr40/9mhq6K4oSITsP+bbjqkj/Zr9DdThFpuwsVGuaLrqa7l4GAItNtQOoeG4t8qi0CN2m65P1TXWKEnvlpYn+YNAh9/pk/a4GRqWz7CxUIzkAIuLNOs2eh631li7ALmavM+qQe1dLw9obLIbOLLhUG8VOmFfsc3Q8oTpXy85CNbJKywUXYNEF2MXsVZYwZeuDHYzZsSE6TsFHV0v34xFn3x2nHeuEEAWyw1C1fCY7gGzsXrapRgCnAfDKNx7EKfjIk2JClN97xeviFEWJlp2FKlUAIDberMuWHUQmzbd07VZTEYCvZOcIZPFmZceEDsZjCaG6viy45AmnLoi2X9kdhcVOsVt2FqrUN1ovuACL7iXsYvYAnYKiQc0Mq25LMaRxCj7ytItFaLJ0ryP+QqHYIDsLVejfsgP4As13LwOAxaaGATgFgCfd15GYBsreO1INTs4IRBKI7k10axqbdX1lByG3AgAx8WZdjuwgsrGlC8BuNZ0HsFx2jkBQMgXfKk7BRxIp6486+/52yvGTECJfdhgCANDADB0AABfYSURBVHzNguvCovuHj2UH8HcRQTjwYLoxo1WUvp+iKPVk5yFt23tW9FhzyGEXQpyQnYXYtXwJi+4flgLg5eVqR/RJ0K/hFHzka87kodWKfQ4UOUSG7CwadgHAF7JD+AoW3RJ2q6kQwL9k5/A3l03B14dT8JEvyitG3LJMR3JugfhJdhaN+m+8WafKDuErWHRLYxdzDXTlFHzkJxwCwd/sd/Q4nONcLTh61Nu4X70MRy+XYbGpuwBwAFAVQow4NSLNeMDMGYHID1nClA3psbp27JnxiqMAmsabdU7ZQXwFW7rlLZQdwJe1j9Gtf6Cd0cCCS/7Kfl50W3XQcdgpxDHZWTRgMQtuaSy65S0EwOZ/GUF6nOMUfBQozuYjdUWmw1joEL/LzhLgPpIdwNewe7kCFpv6PYBrZefwFZyCjwKVTkFB/0T9poZBSi/ZWQLQr/FmHcd7lMGWbsUWyA7gC0qm4FvHKfgoUDkF6n93wNFr/3nnaiEEu0Hr1geyA/gitnQrYLGpQQAOA4iSnUUWS5iy9eZmhii9osTLzkLkDYkNlZ87xulaKopilp0lAJwHkMBThcpjS7cCdqspH8C7snPIYFCQd1uKYc2gZob2LLikJQezRZfvDzhOOoU4LDtLAHiHBbdibOlWwmJTGwM4AA1NghBvVnYMbWFoYNApybKzEMlSX4+s6y36I/X1SnvZWfxUEYDkeLPuqOwgvogt3UrYraZjAD6TncMbykzBx4JLmlbgQOSyvY5W5/LEWtlZ/NS/WHArx5ZuFSw2tSuAgJ6bMzZE2XN7ikFwRiCi8trH6NY0C1d6Koqil53Fj6THm3XbZIfwVSy6V2CxqRsAdJWdo66VTMG3Ni1S14MzAhFVLt6sbO7SWNdcUZSGsrP4gZXxZt0A2SF8GbuXr+x12QHqWkSQsv/BdOPOlpyCj+iKjuSKjt8dcJx1CHFAdhY/MEd2AF/Hontln8F1/dBAIPok6Fff29oQW9+gtJEdhshf5BQgedleR1h+sdgiO4sP2wlghewQvo5F9wrsVlMxgLdl57haJVPwbe0Qq+/LC70T1VyRE2HLMx3tzlwUa2Rn8VFz4s06Hq+8Ah7TrQaLTY0EcAiAXxarro31a7s20rVXFCVUdhaiQNAmWrcmJULpoSiKQXYWH3EKrtmECmQH8XVs6VaD3WrKAjBPdo6aCjHi1P1tjT93a6zvzYJLVHe2n3b22XDU+bsQ4pzsLD5iHgtu9bClW00WmxoNYD+AENlZqiM9Rre+T4I+lTMCEXmOqR4ODkjSF+t1SjPZWSTKg6uVe0Z2EH/Alm412a2m0wDekp3jSoL0ODe6jXF9X07BR+RxaiESl2Y6ovOKxC+ys0j0MQtu9bGlWwMlx3b3A/DJC6JzCj4iaZy9EnRrY0N0fWUH8TIngFbxZt1u2UH8BVu6NVBybPdN2TnKKpmCby2n4COSRrfusLNvxmnHOiFEoewwXrSQBbdm2NKtIYtNjYCrtesTA5MsYcrWW5oZonScEYjIJ8SGKL/1jNc1VhQl0KcGzQPQgtdZrhm2dGvIbjWdBfCG7BwGBXm3p7qm4GPBJfIdJy+Idl/bHfnFTrFHdhYPm8OCW3Ns6daCxaaGwTXtn5RrsXIKPiLfZ1CgDrDod4QYlYC7djuAkwCac87cmmNLtxbsVtN5SLgms05B4aDmhtWcgo/I9xULmL7a5+hyPNe5SnYWD5jBgls7bOnWksWmhgLYCyDGG8/HKfiI/FdKhPJjm2hdR0VRgmRnqQM7AbSNN+scsoP4Ixbdq2CxqQ8AeN+Tz6EAjuuT9evSInTdOSMQkf+KbqDs6J2gi1YUxSs/1D1ocLxZt1R2CH/FonsVLDZVB+BnAB09sf6IIGX/8DTDBc4IRBQYGhhw/HqL/rxBp7SUnaWWvo83666THcKfseheJYtN7QlgXR2vVvRN0K9tH6PrxBmBiAKLXsHFAcn6baZ6SnfZWWpIAOgYb9b9KjuIP2PRrQMWm7oYwN11sa7Qejg6oqXxVAOj0qEu1kdEPkl0aaxbE29W+iiKosgOU00L48260bJD+DsW3TpgsanxAHbjKqf+4xR8RNrSLEz5//buOz6KMvHj+Gd3kwGEJSIoIBFCAOmgyAjIAcodWLCgYtezF7DMy9719Dw9K4wFbPA7u9hADz0LKjb4waAi2NGAFIUImJhgZCC798fmkIBISHbn2d1836/XvgK7k9mvK/DNM/PMM7N6twz3zoAjWhVA5/xoeKnpIJlOlwwlQdHoJsuAf9b2+xvnUnxaL92CT6S++bYkPmDGksolsXj8B9NZtmGcCjc5NNJNksIJ5Q1JTKUv2J7v22OX8MzBu0W6hkKhZikJJiJpr2EOxcPbR4pzI2k5abKYxEIYZaaDZAOVbhIVTigfBTxbk20b5rDm6C65XzVrmHGTKUQkBcIh1g0tiMzNaxAaaDrLZkbnR8P3mw6RLVS6SVY4oXw68IdT6rs2D3t/KYi0C2f+9XoikmR7tQ7PaNc0NCRNJljNAIbmR8MqiiRR6SZZ4YTyDsACoNHmr+WGKRvVOeeTXRqH/xR8MhHJFAV5oTl9WoW7hUKhJgZjlAO98qPhRQYzZB2VbgoUTii/BLi92nM7hj4e0SFnZ90RSERqollDFu7bLtLI4L8ZY/Kj4QmG3jtrqXRToHBCeQT4f6BvToiKw3bPmdOmSUZdjyciaaBBhFXDCyPLrUiod8BvPR0YrsPKyafSTZHCCeW9douGHj2sU07TiO4IJCK1FAJ/v4LI7GYNQ4MCessyoEd+NLwkoPerV3SdbooUjW4y/4jOuVNVuCJSF3Gw3lpcOejbn2LvxOPxIO7sc7EKN3VUuqn1D0DrlIpInc1bGRvi/RD7OB6Pl6bwbV7Pj4YfSuH+6z0dXk4x1/N7AnMB3ZZPROqsaQOK/lwQiYRDoXZJ3nUpicPKy5K8X9mESjcArudfRWLUK1nmjX/dxvy3p1K85GtychtQ0GNvDj73Jlp36L5xm7LVK3np3qv5avZ0KspK6LDnnzjykrHs3LbTVvf7xA1n4L382BbPWw134LZ3f9r4+28+epep4y5jRdHn5LVozdCTLmbgkWdtfH3uq08x7d5rWFdRzt4H/5XDL/xtUn1J8XLcM/fjoknvEW3esq4fhQTIivDT8PaRxQ1yknpjlNPzo+FJSdyf/A6VbgBcz4+QuP1ff9NZJLkmnD+CPsOPpm23vsTjcf7zwA0sXjCbKybPo3HeTsTjccadPoRwOMzIC2+nYZOmzHjS5ctZb3DF5Hk0aNT4d/dbUV7K+l8rqj3nnrkvHfYcxPHXJY7+rV6+iFuP60O/Q05m4KizWfTJTJ699QJO/sfj9B56OOUlq7jhkA4cd93DtGjTngcvHMlx1zxA90EjAHj4klH0GDSC/oedmtoPSVIiBBuGtIvMbN4oNDgJu3slPxoekYT9yDbonG4AHNuqBI4FftrWtpJZRt/zMv0OOZnWHbqza8cenHjD/1Fe8iOL5s8E4MclC/nu09mMuuxu2nW3admuM0ddfi/r11Xw0WuTt7rfRk3yaNqi1cbHquVFrF6+iAEjT9u4zQcvPETTnVtz5KXjaNW+KwNGns7eI07ircfHAolSbtg4jz7DjqJtt7503GsIKxd/CcAnb03h17U/0+/QU1L34UhKxSFnxneVg79eHXs3Ho9vqMOuSoAzk5VL/phKNyCObX0HaEiR5X79pYx4LMYO0cT9Kzas9wHIadBg4zbhcJic3AYUfTKzxvudNXUSrQq70b7Xb0t1L14wmy79/lJtuy79h7H0iw+p3LCenXfriL/uF5Z9NY+1pWtY+vlcWnfsSUV5KS/dfQXHXHkfunQ88y34MTZ49vex+fF4vKSWu3Dyo+HvkxpKtkqlGyDHtl4ExpnOIakz5c6LabN7bwp6Js4ktCzoTLNWbXl5/HWsLV3DhvU+0x+5g5LiZfy8qmZ3c6soL2Xe9OeqjXIBylavoMlO1c/FRnfahVjlBspLVrFD02accN1EnvjbaYw9dSB9DzqRrgOG89I9V9Lv0FMpL1nFnX8dwM1H9+KD5x9MzgcgRiwvi/d5Y1FlaWUsXrSd3/pifjT8aEpCye/KMR2gHrocGAjYpoNIck0ZeylFn8zkgofeIhyJABDJyeW0Wyfz1E1nc/Ww1oQjEXa3h9J1n/2p6XyKuf95kng8Rt8DT9juTL32O4xe+x228fdF8z7guwVzGOncxs1H9eSE6yfSsrArtx3fl/a992HXjul4ZzmpiTKfdi9/U1k6rH1kbqPcUN8afEsROvoWOI10A+bYlg8cQ+I8imSJKXddwsevP8O541+lRZvCaq/t1rUPlz3hcctbxdz4ynecc/c01pauoUWbmq2bMmvqJHrvdziN83aq9ny0eSvK16ys9lzZmmLCkRya7Nhii/1s8NfxzD/P4+gr72P18kVsWO+z+95DyWvRmo59BvPNh+9s53+1pJv1MfJe+bZyz+K1sW39z6wAjsyPhjXPJGAqXQMc21oEnLbNDSUjvHDnRXz0+jOMGf8qLQu6bHW7Rk3yaNJsZ35cspClX3xIj8GHbHPf333m8f3C+fQfueUfl4Ke/fhq9pvVnvtqznR267oXkZzcLbZ/41+30qnvvhT07EcsHiNW+dvcm8oNPrFYEIsdSQAi7y2NDfliVey9eDy+fivbjM6PhucFmkoAla4xjm1NAe4xnUPq5rnbLmD2tEc56e+PsEO0GT+vWsHPq1aw7pfyjdvMm/48C+fOYNXyIha88xLjzx9BzyGH0qX/sI3bPH79aTx+/ZbFOmvKRHberSOd9hqyxWsDjziT0h+/54W7LmbFoi+YNXUSc6Y9xtATL9xi2xVFX/Dhq08xYvSNAOzSdnfCkRw+eP5Bvv34fb723qawd7rdO13q4vNVsUEzl8U+j8fjqzd76YH8aPgRI6FE53QNuwQYANTk/IukofefewCA8eceUO35/c+4hgPPuhaA0tU/MHXcZZStWUnTFq2xDzqB4adfVW37n1Yu3WLfv64t46M3nmH/zbb9n+Zt2nPWuBeZOvZSPnj+QfJatOaIi++i99DDq20Xj8eZfMuYxHXCjaMAWA0bceINk3juNodfy39m2KlX0LbbXrX7ECRtrVgb7/1aUeWyYe0jCyPhUCdgDnCB6Vz1mRbHMMz1/HYk/iLsYjqLiGSnnDBlQwsic6JW6NT8aHjLn/AkMDq8bFjV9bsjgXWms4hIdtoQo9HrRZU3qXDNU+mmAce2ZqGJVSKSOo5jWzNMhxCVbtpwbOtJ4CbTOUQk69zv2NZ40yEkQaWbXq4DnjUdQkSyxrto4lRa0USqNON6fiPgHbRilYjUzZfAnxzb2vySITFIpZuGXM9vBXhAvuksIpKRlgP7OLa1xHQQqU6Hl9OQY1srgEOAtaaziEjGKQEOUOGmJ5VumnJsax6JNZrrcp9MEalffgUOdWzrU9NB5PepdNOYY1svAycBMdNZRCTtVQLHO7b1nukgsnUq3TTn2NbTwFmATr6LyB85t2pNd0ljKt0M4NjWROAi0zlEJG39zbGtB0yHkG3T7OUM4nr+dcANpnOISFp5wLGtc0yHkJrRSDeDOLZ1I3CH6RwikjYeBcaYDiE1p5FuBnI9/37gbNM5RMSoScCZjm1pomUG0Ug3M40BnjAdQkSMeRA4Q4WbeVS6GajqL9opwGOGo4hI8MYD5zi2pcOUGUiHlzOY6/kh4F50TkekvrjbsS3HdAipPZVuFnA9/2bgStM5RCSlxjq2pUsHM5wOL2cBx7auAi43nUNEUuZ2FW520Eg3i7iefw5wH/phSiSb3OTY1rWmQ0hyqHSzjOv5xwOPADmms4hInVSSWNpRK01lEZVuFnI9/2DgWaCh6SwiUitrgWOqbnoiWUSlm6Vczx8CTAGamc4iIttlBXCwY1sfmg4iyafSzWKu53cC/g10Np1FRGrkC+Agx7YWmw4iqaEJN1nMsa2FQH9guuksIrJN7wIDVbjZTaWb5RzbKgEOJLGKjYikp6eA4Y5t/WQ6iKSWDi/XI67nnwuMQzObRdLJLcDVWtaxflDp1jOu5w8DngF2NJ1FpJ77GTjFsa0ppoNIcFS69ZDr+Z1JTLDqZDqLSD31KXCkY1tfmw4iwdI53XrIsa2vgH4kildEgvUk0F+FWz9ppFvPuZ5/IXArkGs6i0iWWw9c5NjWvaaDiDkqXcH1fBt4Gig0nUUkSy0HjnJsa5bpIGKWDi8Ljm15wJ4klo4UkeR6G+ijwhXQSFc2U3WnorFo3WaRuloP3Ajc4thWpekwkh5UurIF1/N7AZOBLqaziGSoz4CTHNv62HQQSS86vCxbcGxrPtAXmGQ6i0iGiQF3AnupcOX3aKQrf8j1/P2BB4G2prOIpLnFwMmObb1rOoikL4105Q85tvUa0IPE2s36CU3k900EeqlwZVs00pUacz1/MPAwWslK5H9WAmc6tqWFZqRGNNKVGqv6Kb43cAeg2ZhSn8VJzHnoocKV7aGRrtSK6/l7k/hHp7vpLCIBmweM0XW3Uhsa6UqtOLY1B+gDXA9UGI4jEoRS4AKgrwpXaksjXakz1/PbkbhM4kjTWURS5DHgUse2VpoOIplNpStJ43r+nwEXHXKW7PEZiUPJmpUsSaHDy5I0jm29CewBnAesMhxHpC5KgUuAPVS4kkwa6UpKuJ6fB1wFOEADw3FEaqoCuAe41bGtNabDSPZR6UpKuZ5fANwCHAOEzKYR2ar1JK5B/7tjWz+YDiPZS6UrgXA9vwdwLTAKndaQ9BEDngSud2yryHQYyX4qXQmU6/ndSJTv0ah8xayXgGsc21pgOojUHypdMcL1/K4kyvcYVL4SrDeBa3WtrZig0hWjXM/vAlwDHAtEDMeR7BUDXiAxQWqu6TBSf6l0JS24nr87cDlwPNDQcBzJHuuAR4HbHdtaaDqMiEpX0orr+c2BM4Ax6B6+UnvFwARgglaRknSi0pW05Hp+BDgUOB/Yz3AcyRyfAmOBJxzbWmc6jMjmVLqS9qouNzoPOBFobDiOpJ9fgOeAiVo9StKdSlcyhuv5OwKnAmcBXQzHEfNmAxOBpx3bKjMdRqQmVLqSkVzP70Ni5Hss0NpwHAlOMYk7/kxybOtz02FEtpdKVzJa1bnfocAJwBFA1GwiSYENwKvAJGCaY1vrDecRqTWVrmQN1/MbkZh8dQJwAJBrNpHUQQXwOjAF+LduPiDZQqUrWanq0qPDgBHAMDQCzgSlwDQSRfuqY1trDecRSTqVrmQ91/NzgUEkCngE0NlsItnECuBFEqtFva1Dx5LtVLpS77ie3wE4iEQB74vu9xukcuB94O2qx4eObcXMRhIJjkpX6jXX8xsDQ4CBwD7A3sAORkNllwrgA34rWc+xrQ1mI4mYo9IV2YTr+TnAniQKeGDVY1ejoTJLCfAR8A6Jkp3t2JZvNpJI+lDpimyD6/ntSJTvAKAX0B1objRUevge+HjTh2Nbi8xGEklvKl2RWnA9vyWJ8t380cxkrhQpBxYBX/JbwX7k2Fax0VQiGUilK5JErue3BroBnYB8oM1mX9Px0qVKYClQRKJcizb9tWNbPxrMJpJVVLoiAXI9P8qWZdwMyAOaVn3NA5qQmNDVaJOvFombsVfW4LEWWFP1WL3Jrzd/bjWwTJObRIKh0hUREQlI2HQAERGR+kKlKyIiEhCVroiISEBUuiIiIgFR6YqIiAREpSsiIhIQla6IiEhAVLoiIiIBUemKiIgERKUrIiISEJWuiIhIQFS6IiIiAVHpioiIBESlKyIiEhCVroiISEBUuiIiIgFR6YqIiAREpSsiIhIQla6IiEhAVLoiIiIBUemKiIgERKUrIiISEJWuiIhIQFS6IiIiAVHpioiIBESlKyIiEhCVroiISEBUuiIiIgFR6YqIiAREpSsiIhIQla6IiEhAVLoiIiIBUemKiIgERKUrIiISEJWuiIhIQFS6IiIiAVHpioiIBESlKyIiEhCVroiISEBUuiIiIgFR6YqIiAREpSsiIhIQla6IiEhAVLoiIiIBUemKiIgERKUrIiISEJWuiIhIQFS6IiIiAVHpioiIBESlKyIiEhCVroiISEBUuiIiIgFR6YqIiAREpSsiIhIQla6IiEhAVLoiIiIB+S89eDGfptnTxwAAAABJRU5ErkJggg==\n",
         "text/plain": "<Figure size 504x504 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "title = 'Do you think there is a reproducibility crisis in your field of research?'\ndraw_pie_chart(title)",
      "start_time": "2020-05-28T12:20:04.443Z"
     }
    ],
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'Do you think there is a reproducibility crisis in your field of research?'\n",
    "draw_pie_chart(title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:04.742160Z",
     "start_time": "2020-05-28T12:20:04.706738Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:04.742Z",
      "execution_time": "36ms",
      "outputs": [
       {
        "data": {
         "text/plain": "partly                                                                 2\nIn general, yes.                                                       1\nnot a crisis, but there should be more attention given to it           1\npaertially                                                             1\ni don't know                                                           1\nIt rather goes with the territory: humans are unpredicatable           1\nI would not say crisis, but it can certainly be imroved                1\ndependend on the scientific field                                      1\nmaybe                                                                  1\nCrisis is a bad word; better call it issue or room for improvement?    1\nName: Do you think there is a reproducibility crisis in your field of research? [Other], dtype: int64"
        },
        "execution_count": 12,
        "metadata": {},
        "output_type": "execute_result"
       }
      ],
      "source": "# The opinion of participants who selected \"Other\"\ndf['Do you think there is a reproducibility crisis in your field of research? [Other]'].value_counts()",
      "start_time": "2020-05-28T12:20:04.706Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "partly                                                                 2\n",
       "In general, yes.                                                       1\n",
       "not a crisis, but there should be more attention given to it           1\n",
       "paertially                                                             1\n",
       "i don't know                                                           1\n",
       "It rather goes with the territory: humans are unpredicatable           1\n",
       "I would not say crisis, but it can certainly be imroved                1\n",
       "dependend on the scientific field                                      1\n",
       "maybe                                                                  1\n",
       "Crisis is a bad word; better call it issue or room for improvement?    1\n",
       "Name: Do you think there is a reproducibility crisis in your field of research? [Other], dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The opinion of participants who selected \"Other\"\n",
    "df['Do you think there is a reproducibility crisis in your field of research? [Other]'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### In your experience, what are the factors leading to poor reproducibility?"
     }
    ]
   },
   "source": [
    "### In your experience, what are the factors leading to poor reproducibility?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:05.365126Z",
     "start_time": "2020-05-28T12:20:04.751009Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:05.365Z",
      "execution_time": "614ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1=df.loc[:,'In your experience, what are the factors leading to poor reproducibility? [Lack of sufficient metadata regarding the experiment (e.g. culturing conditions, environmental conditions, software version)]':'In your experience, what are the factors leading to poor reproducibility? [Data privacy (e.g. Data sharing with third parties)]']\ncolumn_array=['Lack of sufficient metadata regarding the experiment', 'Lack of data that is publicly available for use', 'Lack of complete information in the Methods/Standard Operating Procedures/Protocols', 'Poor experimental design', 'Lack of resources like equipments/devices in your workplace', 'Lack of the information related to the settings used in original experiment', 'Difficulty in understanding laboratory notebook records', 'Pressure to publish', 'Lack of knowledge or training on reproducible research practices', 'Lack of time to follow reproducible research practices', 'Data privacy']\ndf1.columns = column_array\ntitle='In your experience, what are the factors leading to poor reproducibility?'\ndraw_bar_chart_mul_col(column_array, title, df1)",
      "start_time": "2020-05-28T12:20:04.751Z"
     }
    ],
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1=df.loc[:,'In your experience, what are the factors leading to poor reproducibility? [Lack of sufficient metadata regarding the experiment (e.g. culturing conditions, environmental conditions, software version)]':'In your experience, what are the factors leading to poor reproducibility? [Data privacy (e.g. Data sharing with third parties)]']\n",
    "column_array=['Lack of sufficient metadata regarding the experiment', 'Lack of data that is publicly available for use', 'Lack of complete information in the Methods/Standard Operating Procedures/Protocols', 'Poor experimental design', 'Lack of resources like equipments/devices in your workplace', 'Lack of the information related to the settings used in original experiment', 'Difficulty in understanding laboratory notebook records', 'Pressure to publish', 'Lack of knowledge or training on reproducible research practices', 'Lack of time to follow reproducible research practices', 'Data privacy']\n",
    "df1.columns = column_array\n",
    "title='In your experience, what are the factors leading to poor reproducibility?'\n",
    "draw_bar_chart_mul_col(column_array, title, df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:05.397771Z",
     "start_time": "2020-05-28T12:20:05.372507Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:05.397Z",
      "execution_time": "25ms",
      "outputs": [
       {
        "data": {
         "text/plain": "lack of funding                                                                                                                         1\nthe technic itself                                                                                                                      1\nignorance of necessity of data management                                                                                               1\nLack of mandatory pre-registration of study protocols, not following reporting guidelines, lack of collaboration, lack of automation    1\ntype of data that cannot be reproducible                                                                                                1\nintrinsic uncertainty                                                                                                                   1\nBasic midunderstandings of statistics                                                                                                   1\nPatents, Copyright, closed access, etc                                                                                                  1\nstandardised format for article, preventing suffisiant details to be included                                                           1\nLack of statistical understanding                                                                                                       1\nName: In your experience, what are the factors leading to poor reproducibility? [Other], dtype: int64"
        },
        "execution_count": 14,
        "metadata": {},
        "output_type": "execute_result"
       }
      ],
      "source": "# What are the other factors leading to poor reproducibility which are not listed in the options according to participants?\ndf['In your experience, what are the factors leading to poor reproducibility? [Other]'].value_counts()",
      "start_time": "2020-05-28T12:20:05.372Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "lack of funding                                                                                                                         1\n",
       "the technic itself                                                                                                                      1\n",
       "ignorance of necessity of data management                                                                                               1\n",
       "Lack of mandatory pre-registration of study protocols, not following reporting guidelines, lack of collaboration, lack of automation    1\n",
       "type of data that cannot be reproducible                                                                                                1\n",
       "intrinsic uncertainty                                                                                                                   1\n",
       "Basic midunderstandings of statistics                                                                                                   1\n",
       "Patents, Copyright, closed access, etc                                                                                                  1\n",
       "standardised format for article, preventing suffisiant details to be included                                                           1\n",
       "Lack of statistical understanding                                                                                                       1\n",
       "Name: In your experience, what are the factors leading to poor reproducibility? [Other], dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# What are the other factors leading to poor reproducibility which are not listed in the options according to participants?\n",
    "df['In your experience, what are the factors leading to poor reproducibility? [Other]'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "## Measures taken to ensure reproducibility in the participants' field of research"
     }
    ]
   },
   "source": [
    "## Measures taken to ensure reproducibility in the participants' field of research"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)?"
     }
    ]
   },
   "source": [
    "### How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:06.038953Z",
     "start_time": "2020-05-28T12:20:05.410446Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:06.038Z",
      "execution_time": "628ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1=df.loc[:,'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)? [Input Data]':'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)? [Results]']\ncolumn_array=['Input Data', 'Metadata about the methods', 'Metadata about the steps', 'Metadata about the experimental setup', 'Results']\ndf1.columns = column_array\ntitle='How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)?'\ndraw_bar_chart_mul_col(column_array, title, df1)",
      "start_time": "2020-05-28T12:20:05.410Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1=df.loc[:,'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)? [Input Data]':'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)? [Results]']\n",
    "column_array=['Input Data', 'Metadata about the methods', 'Metadata about the steps', 'Metadata about the experimental setup', 'Results']\n",
    "df1.columns = column_array\n",
    "title='How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)?'\n",
    "draw_bar_chart_mul_col(column_array, title, df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you?"
     }
    ]
   },
   "source": [
    "### How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:06.562880Z",
     "start_time": "2020-05-28T12:20:06.050209Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:06.562Z",
      "execution_time": "512ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = df.loc[:,'How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you? [Input Data]':'How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you? [Results]']\ncolumn_array = ['Newcomer Input Data', 'Newcomer Metadata about the methods', 'Newcomer Metadata about the steps', 'Newcomer Metadata about the experimental setup', 'Newcomer Results']\ndf1.columns = column_array\ntitle='How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)?'\ndraw_bar_chart_mul_col(column_array, title, df1)",
      "start_time": "2020-05-28T12:20:06.050Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.loc[:,'How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you? [Input Data]':'How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you? [Results]']\n",
    "column_array = ['Newcomer Input Data', 'Newcomer Metadata about the methods', 'Newcomer Metadata about the steps', 'Newcomer Metadata about the experimental setup', 'Newcomer Results']\n",
    "df1.columns = column_array\n",
    "title='How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)?'\n",
    "draw_bar_chart_mul_col(column_array, title, df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Have you ever been unable to reproduce published results of others?"
     }
    ]
   },
   "source": [
    "### Have you ever been unable to reproduce published results of others?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:06.751289Z",
     "start_time": "2020-05-28T12:20:06.567081Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:06.751Z",
      "execution_time": "184ms",
      "outputs": [
       {
        "data": {
         "image/png": 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3y8/PD4GBgUhOTq532uDgYGzfvh0ajQbffPMNHnvsMeTl5d21jdRqdYNfbuo7Hnh6euqOPcePH8fgwYPRr18/BAUF1ZrO29sbFy5c0P3NGMP169eb9T439dloznGqpqaOmfXNs7H3/NatW3ByctJ9uRKDQQ6QKikpAcdxcHd3BwBs3ry51oAoQNsa3LlzJ7Zu3Yrx48frHp8xYwbWrVuHkydPgjGGkpIS7Nu3D8XFxfUuy9fXF926dcOkSZMwbtw42NjYAAB69OgBW1tbvPfee1AqlThy5Aj27NmDJ598EgDQqVMnfPPNNygtLUVKSgo+++yzBtdn4sSJ2LNnD3766Seo1WqUl5fjyJEjukE+FhYWiIuLw/z585Gfn48hQ4YA0H6znDFjBubOnav7dn3z5k389NNP97Q9b9++jbVr10KpVGLXrl1ITEzEyJEj4eXlhaFDh+Lll19GUVERNBoNrl69iqNHjwIAZs+ejXfffRcJCQkAtINHdu3adU/LrtapUyfs378f+fn5yMrKwocfftjs1xYXF8PGxgZOTk7Iz8/H4sWL75rmq6++wqVLl1BaWoo333wTjz322F2ngTS1vnV5eHggLS1NN+DIz88PMTExeO2111BeXo7z58/js88+a/YpDc19P9966y1UVlbi2LFj2Lt3L+Li4uqdX/WXzoULF6K4uBjp6elYvXq1Ls/jjz+OtWvX4saNGygoKMCKFStqvb5Tp07YsWMHlEol/v77b+zevVv33IQJE3Do0CH873//g0qlQl5eHs6dO3df+2RD+19TGaq98847KC0tRUJCAjZv3tzoAB8AyM7Oxvfff4+SkhJYWVlBJpPV6qFqSFP7R1Pbsyndu3eHvb09Vq5cibKyMqjValy8eBF//fUXAO0+nJOTA57n4eTkBEC7z4SEhKC8vBz79u2DUqnE0qVLUVFRUe8y3N3dwfM8UlNTdY/t2rVLd6xxdnYGx3H1bo/HH38c+/btwy+//AKlUolVq1bBysoKMTExTa5bU5+Nup+lpjR1zKyrqfe8V69eOHv2bLOWrS8GWWwjIiLw8ssvo1evXvDw8MCFCxfQu3fvWtP06NEDdnZ2yMzMxIgRI3SPR0dHY8OGDZgzZw6cnZ0RFBSkG0XZkClTpuDChQu6LmQAsLS0xJ49e3DgwAG4ubnh2WefxRdffKH7hj137lxYWlrCw8MDU6ZMabT15+fnh++//x7Lly+Hu7s7/Pz88P7779fa8caPH49Dhw4hLi6u1rfqlStXIigoCD179oSDgwMGDx6MK1euNGs71txWycnJcHNzw8KFC7F79264uroC0HbXV1ZWIiIiAs7Oznjsscd0XTVjx47Fq6++iieffBIODg6IioqqNXLzXkyaNAkdO3ZEQEAAhg4d2uQBs6YXX3wRZWVlcHNzQ8+ePTF8+PB65z916lR4enqivLy8wZPuG1vfuqqLnKurK7p06QIA2L59O9LS0uDt7Y2xY8di8eLFGDx4cLPXpan309PTE87OzvD29saECROwbt063T5Xn48++gh2dnaQy+Xo06cPxo8fj6effhqA9ovnsGHD0LFjR3Tp0gWPPvporde+8847uHr1KpydnfHWW2/V+tLatm1b7N+/H6tWrYKLiws6deqEf/75p1nrUFdj+19jGarFxsYiKCgIgwYNwrx58zB06NBGt7FGo8Hq1avh7e0NFxcXHD16FAqFotHXVGts/2hqezZFIpFg7969OHfuHAIDA+Hm5obp06ejsLAQgHbUbmRkJGQyGV544QXs2LEDNjY2cHR0xCeffILp06fDx8cHdnZ2d41OrmZra6sbpevk5IQTJ07gr7/+Qo8ePSCTyTB69GisWbMGcrn8rteGhobiq6++wnPPPQc3Nzfs2bMHe/bsgaWlZbPWr7HPRn2fpcY055hZU1Pv+cmTJ0W/jgPdYg/Ab7/9hokTJyI9Pf2euzsIaSlHjhzBxIkTG/z2boy2bNmCjRs34vjx42JHIaRJdIs9PVIqlVizZg2mT59OhZYQQohemHWxTUxMhJOTE27duoUXX3xR7DiEEEJMFHUjE0IIIaBuZEIIIcSoUbElhBBC9IyKLSGEEKJner2ClLW1dTbHcR76XAYhhBDSEqytrfV2SyC9DpAihBBCCHUjE0IIIXpnkDciIORenD59uo1UKt0IIAr0BZIQ0vI0AC6qVKrpXbt2bd5twuqgYkuMnlQq3ejp6Rnu7u5ewPM8/S5CCGlRGo2Gy8nJicjKytoIYPT9zINaAcQURLm7uxdRoSWE6APP88zd3b0Q2t6z+5tHC+YhRCw8FVpCiD5VHWPuu2ZSsSWEEEL0jH6zJSZHrhC6tuT8UuNlpxt7XqPRoFu3bqGvvvrqrccff7wIADZt2uS8efNmt2PHjiW3ZBZCiHGili0hD4jneaxbty59wYIFfqWlpVxhYSG/ePFin3Xr1mWInY0QYhioZUtIC+jWrVv50KFDC9944w3PkpISyeOPP54XGRlZ8dFHH7muX7++jVKp5KKjo4XPP/88Q6PRIC4uLvDSpUs2jDFuypQpOYsWLbqv0wkIIcaBii0hLeS9997L7NChQ4SlpaXmn3/+Sfzrr7+sv//+e6czZ84kWlhY4KmnnvLfsGGDS0hISEV+fr40KSnpEgDk5uZKxM5OCNEvKraEtBAHBwfNmDFj8mUymdrGxoYdOHDA4fz583bt27ePAIDy8nLe19e3csyYMYWpqanWU6dO9Xv44YcLx44dWyR2dkKIflGxJaQF8TwPntcOhWCM4amnnspds2ZNZt3pEhISEr7++mvHjz/+uM3u3budt2/fnt7qYQkhrYYGSBGiJyNGjCj+/vvvXW7duiUFgKysLElycrJlZmamVKPR4Omnny5YunTpzQsXLtiKnZUQol/UsiUmp6lTdVpL9+7dyxYsWJA5YMCAEI1GAwsLC/bJJ5+kSyQSzJgxI4AxBo7jsGzZshtiZyWE6BfdYo8YvX/++SetY8eOuWLnIISYtn/++cetY8eOAffzWupGJoQQQvSMii0hhBCiZ1RsCSGEED2jYksIIYToGRVbQgghRM+o2BJCCCF6RufZEpOz5q/KFr3F3gvdLJs8b5fjuK7Tp0/P3rBhww0AePPNNz0EQZCsXr36rqtH6cOVK1csDx8+LJs9e3Z+fc+npaVZzJ492+/HH39Mbe48x40bFzBq1KjCadOmFdR8fO3ata6jR48uCggIUD5obn176aWXvGUymXrJkiXZrbncL7/80ikiIqK8a9eu5QDQvXv30A8++OB6v379SlszR2OuXLliOWrUqODk5OSEus/VzBsbGxv09ddfX3Nzc1PXNx8fH5/2f//9d6KXl5fqfnK09rapzmthYcE2btzosmDBgpzWWC61bAlpAZaWlmz//v3O1VeL0jelsnadS05Ottq5c6dLQ9MGBAQo76XQNuarr75yy8jIsLjf19fN3tqvbw3fffed0/nz521aYl5ir+/Ro0dTGiq0rUWluq863qi8vDzJZ5991qbFZ9wAKraEtACJRMImT56cs3z5co+6z2VmZkqHDRvWLioqKjwqKir84MGDdmq1Gj4+Pu1r3vHH398/6vr169L6pge0rbQxY8YEdunSJezRRx8NrLmMhQsX+vz999+ysLCwiMWLF7dZu3at68CBA4N69uwZEhMTE3rlyhXL4ODgSEB74Jo1a5ZvVFRUeEhISMT777/vBgAajQaTJ09uGxAQEBUTExOSm5t71xeHzZs3O1+8eNF28uTJ8rCwsAhBELjvv//ePjw8PCIkJCQiLi4uoKysjKv7uu7du4c+/fTTflFRUeFLly71aGodO3XqFObv7x+1atUqNwDYu3evfdeuXUMHDhwYFBwcHAUAb7/9tkdwcHBkcHBw5JIlS3QHzVdffdUzICAgqmvXrqHJyclWNTP89ttvtgBw69YtqY+PT/vq7TFz5kzf4ODgyJCQkIhly5a1AYBjx47ZduvWLTQyMjK8T58+wenp6Xd9wbhy5Yplz549Q0JCQiJ69eoVkpycbPnzzz/bHTp0yGnRokW+YWFhEQkJCVYAsH37duf27duHBwQERP3444+yxt6LuutbVFTE9+/fPyg0NDQiODg4csOGDc71beNp06b5hYWFRQQHB0cePnzYtnqbvvnmm7r9Mjg4OPLKlSuW1csfPXp0oFwujxw+fLi8uLj4rprg4+PT/tatW9LGMrz33nttIiIiwkNCQiLOnj1rDQBFRUV8XFxcQPv27cPDw8MjvvrqKycAEASBGzVqlFwul0cOGTKkXXl5+V37S/Vy4+PjfSIiIsI3bdrknJCQYNW3b9/gyMjI8K5du4ZWL2fTpk3OwcHBkaGhoRHR0dGhgLb3ZfLkyW2r5zVgwICgvXv32tec/8svv+x7/fp1q7CwsIhZs2b5pqenW0RHR4dWb7/q96ilUDcyIS1k/vz5t9u3bx/59ttvZ9V8fNasWX4vvfRS9rBhw4Tk5GTLYcOGBaempiYMHTr0ztatW51eeOGFvF9//dXOx8en0s/PT/Xwww8H1jc9ACQnJ1ufPHnyskwmq3Xpt2XLlt1ctWqVx+HDh1MA7cEmISHB9vz58wkeHh7q6oMrAHz44Ydujo6O6osXLyaWlZVx3bp1C3v44YeLTp48aZuSkmKVkpJy8caNGxbt27ePnDp1al7N5UybNq1AoVC0qe72Ky0t5WbNmhV48ODBKx06dKgYO3ZswPvvv+/+5ptv3nV/3srKSu7ixYuJANDYOiYmJtqcPn06sbi4WNK5c+eIcePGFQLApUuXbM+ePZsQFhZWeezYMdtt27a5nj59OpExhq5du4YPGjSoWKPRcN9++63LhQsXLimVSnTq1Cmic+fOjXZPrlq1yj0jI8Py0qVLCRYWFsjOzpZUVFRwzz//fNt9+/aleHt7qzZs2OA8b948n127dqXVfG18fHzbCRMm5D333HN5H374oWt8fLzfoUOHrg4ePPhO3S54lUrFXbhwIXHnzp2OS5Ys8R4+fHhSQ+9F3fXdsmWLk6enp/LIkSMpgLZVVt+6lJWV8ZcvX7504MAB2cyZMwPr6yKuKS0tzfrTTz9NGzp0aElcXFzA+++/795Ql/s333zj0FAGNzc31aVLlxJXrFjhvmLFCo+dO3emv/76614DBgwo2rVrV1pubq4kOjo6fPTo0UWrV692t7Gx0aSmpiacPHnSpnfv3hEN5XN1dVVdunQpEQB69eoVsn79+vT27dtX/Prrr3bx8fFtT5w4kbRixQqvgwcPJgUGBirv5XaVq1atujFq1Ciby5cvXwKAt956y2PQoEGFK1euzFKpVKjvi8eDoGJLSAtxcXHRxMXF5a1YsaKNjY2Npvrx33//3SE5OVnXpSgIgqSwsJAfP358/pIlS7xfeOGFvK1bt7qMGzcuv7HpAWD48OF36hbahvTt27fIw8Pjru6/Q4cOOVy+fNn2hx9+cAaA4uJiyaVLl6yPHj1q//jjj+dLpVIEBAQoe/XqVdzUMv755x9rX1/fig4dOlQAwNSpU/M+/vjjNgDuKrZPPfWU7vfkxtZxxIgRd2QyGZPJZKpevXoVHTt2zM7Z2VndoUOHkrCwsEoAOHLkiGzkyJF3HBwcNADw0EMPFRw+fNheo9Fg5MiRd+zt7TUAMHTo0DtNrcOvv/7qMHv27BwLC23D1cPDQ/3XX39ZJycn2wwcODAE0Lb63d3d7+rPPXv2rN2BAweuAkB8fHz+4sWLfRtaTlxcXAEAxMTElMyfP98SaPi9sLS0ZDXXt0uXLmULFy70i4+P93nkkUcKhw8fLtS3jPHjx+dXbUNBEAS+qeLj6elZOXTo0BIAmDRpUt7atWvbAKi32DaWYfz48QUA0L1799LqdTly5IjDTz/95LR27VpPAKioqOBSUlIsjx8/Lnv++edvA0CPHj3KQkJCGvwyNHny5AIAKCws5M+ePSuLi4trV/1cZWUlBwDR0dHChAkTAsaNG1cwYcKEgobm1ZSePXuWzJo1K0CpVPKPPfZYQUxMTNn9zqs+VGwJaUGvvfZadpcuXSKefPJJ3bWaGWM4c+ZMoq2tba0iOWjQoJJnnnnGKjMzU/rjjz86LVu2LLOx6QHAzs5rBQ6eAAAgAElEQVROU/exhtja2tY7LWOMW7VqVca4ceNq3Ud37969js2d9/2oLoBVGRpcR47j6v27ofVpLqlUytRq7XeP0tLSersua+TjgoKCys6dO3f5QZZZk7W1NavKAbVazVUvp4H3wr7m+nbo0KHizJkzl77++mvHN954w+fQoUNFH3zwwa26y6hv20mlUqbR/LvpKioquMamb0hjGWqsG1OpVNXrht27d6d07Nixoqlt05DqfUatVsPe3l5V3Qqtadu2bRm//vqr3Q8//ODYtWvXiNOnT1+qZ52bbKWOGDFC+O233658/fXXjk8//XTgnDlzsufMmZPX1Ouai36zJaQFeXh4qB9++OGCbdu2uVU/1qdPn6J3331X95viH3/8YQNo7307YsSIO88++6xfUFBQmaenp7qx6Rvj6OioFgShWV1oQ4YMKVQoFO7VB93z589bFRUV8bGxscW7d+92UalUSE9Ptzhx4oR9fa+XyWTqwsJCCQB07Nix/ObNm5YXL160AoAvvvjCtW/fvk22iBtbxwMHDjiVlpZyWVlZkhMnTtj36dOnpO7rBwwYIOzfv9+puLiYLyoq4vfv3+88YMCA4oEDBwr79+93EgSBKygo4H/++Wen6tf4+flVnDp1yg4Atm7dqvu9cdCgQUWffvqpW/VApOzsbEmHDh3K8/PzpYcOHbIDtAXq77//tq6bo3PnziUbN250BoBPP/3UJTo6WqjeRkVFRU0eXxt6L+pOl5aWZmFvb6959tln81966aWsc+fO1Xtbxu3btzsDwE8//SSzt7dXu7q6qgMCAirOnTtnBwDHjx+3vXnzpu537Fu3bllWr+PWrVtdYmJi6m0x30uGagMGDChatWqVR3XR+/33320AoE+fPsLWrVtdAOCvv/6yTkpKavIWky4uLhpfX9/KTZs2OQPanoY///zTBgASEhKsBg4cWPLhhx9mOjs7q1JTUy3btWtXmZCQYKtWq5GSkmJx/vx5u7rzdHR0VJeUlOi2dVJSkqWvr6/y5Zdfzp08eXLOmTNnWvTWl9SyJSanOafq6NPChQuzPv/8c/fqv9evX399+vTpbUNCQiLUajXXo0eP4piYmAwAmDBhQn5sbGz42rVr05ozfUO6d+9eJpFIWGhoaMT48eNznZ2dGxw9Onfu3Ny0tDSr9u3bhzPGOBcXF+X+/fuvTpo06c4vv/ziEBQUFOXt7V3RuXPneg+8kydPzn3uuef858+fr/n7778T161blxYXF9dOrVajY8eOpfPmzWvyVIrG1jE8PLw0JiYmtKCgQDpv3rxbAQEByosXL9YqdH369CkdP358XpcuXcIBYNKkSTm9e/cuA4CxY8fmR0VFRbq6uio7dOigK9QLFizIfuKJJ+RbtmxxHzJkiK57ee7cuTlJSUlWYWFhkVKplE2ZMiXn9ddfz9mxY8fV559/vm1xcbFErVZz8fHx2dHR0eU1c6xbty5j8uTJAWvWrPF0dXVVffHFF2mA9n2Nj48PWLduncfu3buv3ut7UXe606dP27z22mu+PM9DKpWyTz75JL2++VlbW7Pw8PAIlUrFrV+//lrV+1WwdetW16CgoMjOnTuX+Pv769YhICCg/KOPPmozc+ZM2+Dg4PLG3rvmZqi2YsWKzJkzZ7YNCwuL0Gg0nJ+fX8Xhw4dT5s2bd/vJJ58MlMvlkUFBQeURERF3fZmqz/bt21NnzJjhv3LlSi+VSsWNHTs2v1evXmVz5871TUtLs2KMcX369Cnq2bNnGQB8/PHHFUFBQdXLuKur2tPTU921a1chODg4cuDAgYVRUVFla9eu9ZRKpczW1la9devWa83J1Vx0iz1i9OgWe6ZDrPNiTYEhnstraugWe4QQQogBo25kQojBaK0rbpmiU6dOXRE7A2kYtWwJIYQQPaNiSwghhOgZFVtCCCFEz6jYEkIIIXpGA6SIyblRrGnRW+z52vMGf4s9Qohho5YtIS2gtW+xRwgxLlRsCWkBjd1ir77bsImRkRAiHiq2hLSQ+fPn3/7mm29c6t7+rPo2bElJSZeeeOKJvPj4eD+xMhJCxEHFlpAWUvMWezUfP3v2rN3MmTPzAe1t2E6fPt2iN6UmhBg+KraEtKDXXnste9u2bW417yZCCCF0QCCkBdV3i72GbsNWF2MMKg2TlKuYZZmSWZcqmU2JktkKlcyuuILJiiqYfWEFc7hTzhwLyplTQTlzKqxgDsUVTCZUMttSJbMpVzGrCjWzUKqZVK1hPN1ohBDDQCMniclpzqk6+lTzFnsaxrg1n6zLmj5tats1H/2fr4urm2b1p1uK0gs1AWoGqVoDqZoxqZpBotHo5/PI81BJOagkPKeSclBKeCilPFRSHkopz6kseCgtJKi05KFs7ObhhJD7R8WWkAek0jBJ9p2SpNwyjWulGlZqBx+r8zdLypQa5p6Qo/GCSzts/P5YzZe4F1W0XotTo4G0EpBCXd8y/32M48AseFRYSLhyKwkqLCUot5JwFVX/r6RCTMj9o2JLSDMxxlChhlWZEjZlKmZbroZNhYrZqjQwiVN5GANXqYZ1pZpZ/3s3b20xri7EVlKu1EaKUhspV2JrgVIpz2nEykuIMaFiS0gDylTMqqSS2ZepYFuugm2FmtkwZp7jHGoW4uIKuFQXYQsJKqylXElVAS6tKsBqkeMSYnCo2BJToNFoNBzP8/fdN8sYQ6kKNiWVzL5ECVmZitmr9fQbqilRqmGlVDOrmgXYUoJyWwuu2M6CK7a3RLGFhFOJHJOQB6bRaDgA992TQwcTYgou5uTkRLi7uxc2t+AyxlCihJ1QyWSlKtiXKZlMwyBp+pWkKdUt4DvlzB0ALCUos7Pgiu0stcWXWr7E2Gg0Gi4nJ8cRwMX7nQcVW2L0VCrV9KysrI1ZWVlRaOR0NgbwFWreplLD2VRqOBtGp761Fpuqf20AQMqh0oLXlFvyrMySZ+XiRiOkWTQALqpUqun3OwOOzsMjpkyuEIIAPAxgFIC+ACzETUTqyAOwH8AeAAdS42X1noNMiLGjYktMjlwhdAcQB22BDRM5Dmm+cgA/A/gGwA+p8bJ8kfMQ0mKo2BKTUNWCnVD1L1jkOOTBqQAcBvAVgN2p8bJSkfMQ8kCo2BKjJVcIbgCeBDARQA+R4xD9KQawG8DnAH5LjZfRQYsYHSq2xKjIFYI1gDHQFthhoEF+5iYVwBcAvkiNl10TOwwhzUXFlhgFuUIIAPAsgKcBuIqbhhgABuA3AFsA7EiNl9GoZmLQqNgSgyVXCByAoQDmABgJOlWH1C8XwHoAH6fGyzLFDkNIfajYEoMjVwiOAKZB25KlwU6kuZTQ/rb7YWq87JTYYQipiYotMRhyhRACYC6ASQDsRI5DjNsJAGugHclMl4skoqNiS0QnVwhRABYCeBzUVUxa1g0AHwFQpMbLisUOQ8wXFVsiGrlC6ApgEYBHANDNUok+5QFYBeAjukoVEQMVW9Lq5AohBsAbAIaLnYWYHSq6RBRUbEmrkSuE/gDeBDBA5CiE5EJbdP+Pii5pDVRsid5V/Sb7PqglSwxPLoAPoC26JWKHIaaLii3RG7lC8ALwDoCpAN0rlhi0TGgH6X1Ol4Mk+kDFlrQ4uUKwAzAfwDzQKTzEuPwNYG5qvOy42EGIaaFiS1qMXCFIoL0YxRIAXiLHIeRB7ALwSmq8LE3sIMQ0ULElLUKuEAYB+BBAlNhZCGkh5QD+C2A5DaIiD4qKLXkgcoXgCWA1gKfEzkKInmQBeB3AFvo9l9wvKrbkvsgVAg/ttYuXAnAUOQ4hreEwgJmp8bIUsYMQ40PFltwzuULoCGADgG5iZyGklZUBeBvAqtR4mVrkLMSIULElzVZ14/a3AbwMumk7MW9nADyTGi87J3YQYhyo2JJmkSuEWAAbAQSJnYUQA6GC9ipUb9PN60lTqNiSRskVgiWAZQBeAt2Rh5D6JAOYkRovOyp2EGK4qNiSBskVQiSArQA6ip2FEAPHoG3lvp4aL1OKHYYYHiq25C5yhcABeB7ACgDWIschxJicBvBUarwsWewgxLBQsSW1VF3PeAuAoSJHIcRYCQCeT42XbRY7CDEcVGyJjlwhPApgPQBXsbMQYgJ2ApiVGi8rFDsIER8VWwK5QrACsAbALLGzEGJi0gGMT42X/SF2ECIuKrZmTq4Q/AB8DbpABSH6oob2/PRldLlH80XF1ozJFcJAADsAuIudhRAz8AOAianxsmKxg5DWR+dNmim5QngFwEFQoSWktYwGcFKuEILFDkJaH7VszYxcIcgAbAbwmNhZCDFThdD+jrtf7CCk9VDL1ozIFUIogFOgQkuImBwB7JErhNfEDkJaD7VszYRcIQwH8D8A9mJnIYTo7AIwLTVeViJ2EKJf1LI1A3KFMB3AHlChJcTQxAH4Q64QAsQOQvSLiq2JkyuEpdDee5ZuiUeIYeoA4E+5QugidhCiP9SNbKLkCsECwGcAJomdhRDSLAKAuNR42Y9iByEtj1q2JkiuEBwB/AgqtIQYExm0A6eeETsIaXlUbE1M1RWhjgMYKHYWQsg9kwLYKFcIi8QOQloWdSObELlCaA9ti9Zb7CyEkAe2FsCLdIlH00DF1kTIFUJXaK8I5SJ2FkJIi9kGYCrdkN74UbE1AXKF0APAT9CeLE8IMS37AIxLjZdViB2E3D/6zdbIyRVCbwA/gwotIabqIQBfV90KkxgpKrZGTK4Q+kPboqWLVRBi2qjgGjkqtkZKrhCGANgPwE7sLISQVvEQgG+o4BonKrZGSK4QRkJ7+UUbsbMQQlrVSFDBNUpUbI1MVaH9FgB92AgxT1RwjRCNRjYicoXQB9rTe6hFSwjZD+BRGqVsHKjYGgm5QugI4Cho1DEh5F/fQ3takFrsIKRx1I1sBOQKIQh0Hi0h5G6PAPhY7BCkaVRsDZxcIXhB23XsIXYWQohBmiVXCG+JHYI0jrqRDZhcIThD23XcXuwshBCDNys1XrZe7BCkflRsDZRcIdhCe2WoGLGzEEKMghra32+/FzsIuRsVWwMkVwgSaM+jHSF2FkKIUSkDMCQ1Xva72EFIbfSbrWH6L6jQEkLunQ20N6CPEDsIqY1atgZGrhBmAVgndg5CiFG7DqBbarwsW+wgRIuKrQGpurHAQQAWIkchhBi/4wAG0r1wDQN1IxsIuUJoB2A3qNASQlpGHwAfiR2CaFGxNQByheAA4AcArmJnIYSYlFlyhTBb7BCEupFFJ1cIPLQjj0eKnYUQYpKUAAalxsuOiR3EnFHLVnzvgwotIUR/LADslisEP7GDmDNq2YpIrhCeALBD7BykfgV7l+PO/ndrPSZxaIO2K67eNW3utudRfHwzXMYuheOQFxqdb1nSceR//RqUtxIhcfSC45AX4dDvGd3zd378ACXn9kB5Oxmc1BJWAd3gMmYxLL3/PZuj8Oc1uPPzhwAAp6Fz4Tj4ed1zFdf/Qc6mafB+7XfwlnSDKKJzGkDf1HhZmdhBzJFU7ADmqurmAhvEzkEaZ+ERDM8XD+j+5vi7O4NKznyHirTTkDh6NTk/ZW4asj8ZB/tek+A+dQPKr/6JvB0vQWLvBrvOjwAAypOPwyF2Oqz8uwKMoWDvUmStfRg+b/wFiZ0LKm9cRMHeZfB4dhfAGLIVcbAJHwRLn0gwjRq5W5+D6xOrqNCSurpCe8yZKHYQc0TdyCKouunzTgD2YmchTeClkDp66P5J7N1rPa3My0DerlfgPu0zcJKmB5IXH/sMEkcvuD7xASy9wuDQZxpkPcej8NAa3TSez30H+16TYOkdAUufSLhP2QB1cS4qrp4AAFRmJ8HSJxI2obGwCesPS58oKLOTAABFv34MS+9w2IQNaMGNQEzIBLlCmCl2CHNExVYcHwDoInYI0jRVbhoyXgvG9TeicPuzqVDmXtM9x9Qq5GyaBqcRr8DSK6xZ8yu/dgo24QNrPWYbMRgV6WfB1PWfDqmpEACmAW/rBACw9I6A8vZVqPKvQ5mXAWV2Ciy8wqHMTUPR0fVweXT5fa4tMRMf0hWmWh8V21YmVwiPApgjdg7SNKvAaLhNXgfP/3wLtwkfQV2UjVsfDIZayAMAFOxdBonMFQ79pjd7nuqibEgc2tR6jLd3BzQq3Xzryt/1Cix9O8BK3gMAYOkVBufRbyFr7Whkf/QInB95G5ZeYcjbMRfOD7+B8pQ/cGNpT9x4pztKzu25z7UnJswGwPaqHjbSSug321YkVwiBAD4TOwdpHtvIobX+tgrohutvtodwchss/TpBOLEVPq/r93rvebsXoPzqn/B6+SA4XqJ73KHfM7UGVQmndgIAbMIH4sbbneE17xDAGG6tGgLrdj3v6v4mZq8DtD1sz4kdxFxQy7aVyBWCBbQjj53EzkLuD28tg6VXOJS3r6I86RjURVnIeC0Y1+Y44docJ6jyM5D/3ZvIeD20wXlIHDygLrpd6zFNcQ7ASyGR1b6mSd7uBSj5ezc8X9gLC7fABuepFvJQsOcduD71IcqvnYLUvR0svcJg6R0OqXs7VFz768FWnJiqOXKF8LDYIcwFtWxbzwoA3cUOQe6fRlkOZXYSrEP7waHvM7DrMqbW81kfjYFd9GOw7zO1wXlYB3ZHyT+1u3bLEn+FlX/nWgOs8v73CkrOfA3PF/bB0rPh4g0A+V+/Bof+s2Dh6o/K6+cBTY3fftWVYBp181eSmJtNcoXQMTVelil2EFNHxbYVyBXCIABzxc5B7k3e16/Dtv1ISF18oS7OwZ0DK6GpLIWsx3hI7N3v6prlJBaQOnjA0iNE91jOFu3AT/ep6wEA9n2fQdHR9cjb9Srs+0xDReoJFJ/YijZPb9a9JnfHSxBO7YDHrO3gbZ2hKtTeuIW3sgNvLau1zLLLh1F56wrcJikAAFYBXaHMTkbJ+X0AY1BmJ8MqILrlNw4xFW4AvpQrhCGp8TKN2GFMGRVbPau67vEmAJzYWci9Ud/JRM7maVALeZDI3GAV2A3e83+FhWvbZs9DVXC91t8WbgHwePZr5H+9AEXHNkLq6AXXuPd159gCQPFv2tOvs9aMqvVap5GvwXnU67q/NZVlyNvxEtyf2aL7PVfq5A3Xpz5E3va5ABhcx6+B1Knp83+JWRsI4FUA7zY1Ibl/dAUpPZMrhI0AnmlyQkIIEU8lgC6p8bIEsYOYKiq2eiRXCCMB7BM7ByGENMMJAL2pO1k/aDSynsgVgiOA9WLnIISQZuoJ4PkmpyL3hYqt/nwAwEfsEIQQcg+WVl0PgLQwKrZ6UDX6uPmXFSKEEMNgB+qR0wsqti1MrhDsQHfzIYQYr8FyhfC02CFMDRXblvcmAOqGIYQYs1VyheApdghTQsW2BckVQiiAF8XOQQghD8gJwMdihzAlVGxb1hoAlmKHIISQFvCoXCGMEDuEqaDzbFuIXCGMAfCt2DkIIaQFXQbQPjVephI7iLGjlm0LkCsEawCrxc5BCCEtLAzAf8QOYQqo2LaMV0GDogghpultuUJwEzuEsaNi+4DkCsEf2mJLCCGmyAnAErFDGDsqtg/uvwBsxA5BCCF6NFOuENqLHcKYUbF9AHKFMBDAWLFzEEKInkkAfCh2CGNGxfbBrBA7ACGEtJKBVWddkPtAp/7cJzrVhxBihq4CCKNTge4dtWzvg1wh8ADeETsHIYS0snYApoodwhhRsb0/4wFEiR2CEEJEsEiuECzEDmFsqNjeI7lCkAJ4W+wchBAiEn8Az4gdwthQsb13z0DblUIIIebqdblCsBI7hDGhYnsPqi7L+IbYOQghRGR+AGaIHcKYULG9N/8B4CN2CEIIMQCvVTVASDNQsW2mqp3qFbFzEEKIgfAGMFvsEMaCim3zTQHQRuwQhBBiQBbIFYKt2CGMARXbZqg6r/ZlsXMQQoiB8QD9dtssVGyb5xEAwWKHIIQQA/SiXCFIxA5h6KjYNg/9VksIIfULAPCY2CEMHRXbJsgVQh8APcXOQQghBmye2AEMHRXbps0XOwAhhBi4aLlC6Cd2CENGxbYRcoUQBuBhsXMQQogReFHsAIaMim3jXgbAiR2CEEKMwCNyhRAgdghDRcW2AXKF4Axgotg5CCHESPAA5ogdwlBRsW3YJAB0KTJCCGm+Z+QKwU7sEIaIim3D6ERtQgi5N07Q3u+b1EHFth5yhdALdHN4Qgi5H0+LHcAQUbGtH7VqCSHk/vSUK4RwsUMYGiq2dcgVggOAJ8TOQQghRmya2AEMDRXbu00AQHexIISQ+zdJrhCkYocwJFRs7zZT7ACEEGLkPAGMFDuEIaFiW4NcIUQD6CR2DkIIMQHUlVwDFdvapogdgBBCTMRDcoXQRuwQhoKKbZWqG8TTbaIIIaRlWEB7cSACKrY19YP2dwZCCCEtY7LYAQwFFdt/0ek+hBDSsjrIFUKQ2CEMARVbAHKFIAHwqNg5CCHEBI0TO4AhoGKr1R8A/ZBPCCEtjxoyoGJb7XGxAxBCiInqJlcIfmKHEJvZF9uqq5zQNy9CCNEPDnSMpWILYCAAN7FDEEKICaNiK3YAA0A/3hNCiH71kSsED7FDiImKLTBc7ACEEGLieABjxA4hJrMutnKFEAGgrdg5CCHEDIwVO4CYzLrYAhgmdgBCCDETsXKFYC12CLGYe7GlLmRCCGkd1gD6iB1CLGZbbOUKwQba6yETQghpHYPFDiAWsy22AGKh/aZFCCGkdVCxNUPUhUwIIa2rs1whuIgdQgzmXGxpcBQhhLQuHtoLCZkdsyy2coXQFkCY2DkIIcQMmWVXslkWW2h/ryWEENL6hogdQAzmWmx7iR2AEELMlFyuEALFDtHaqNgSQghpbWZ32qXZFVu5QpABaC92DkIIMWPdxQ7Q2syu2EL7JkvEDkEIIWaMiq0ZiBE7ACGEmLmOcoVgJXaI1mSOxZZ+ryWEEHFZAOgsdojWZFbFVq4QOAA9xc5BCCHEvLqSzarYAggFYJaXCiOEEANDxdaE9RA7ACGEEABUbE1aR7EDEEIIAQAEyRWCs9ghWou5FdsOYgcghBACAOAAdBM7RGsxt2JLF7MghBDDESl2gNZiNsVWrhA8ALQROwchhBAds7n7mtkUWwBRYgcghBBSS7jYAVqLORXbCLEDEEIIqYVatibIbL5BEUKIkXCXKwSzuPYBFVtCCCFiMovWLRVbQgghYjKLY7NZFNuqe9h6iJ2DEELIXahla0L8xQ5ACCGkXlRsTUhbsQMQQgipV4jYAVoDFVtCCCFi8hE7QGugYksIIURMdnKF4Ch2CH2jYksIIURsJt+6pWJLCCFEbN5iB9A3KraEEELERi1bYydXCDzM4I0khBAjZvLHaJMvttBezMJC7BCEEEIaRN3IJoCuHEUIIYaNWrYmwEnsAIQQQhpFxdYEULElhBDD1kbsAPpmDsXWWewAhBBCGmUvdgB9M4diSy1bQggxbFRsTQC1bAkhxLBZyBWCtdgh9Mkcii21bAkhxPCZdOvWHIottWwJIcTwOYgdQJ/ModhSy5YQQgwftWyNnMnfuokQQkwAtWyNnJXYAQghhDSJWrZGTiJ2AEIIIU2iYmvkqNgSQojho1N/jBwVW0IIMXwmXY9MeuWqULElhBDDZ9L1yKRXrgoVW0IIMXwmXY+kYgdoBVRsiUmxkSLfw44rEjsHIS1JrYFK7Az6RMWWEANnwUNo58QnhrvxpV52nJeUR3BHD8nFIGeuF8dxFmLnI6SFmPS+TMWWEAPDc1C2deAuRbhKCvwcOFcrCcI4jutWc5rztzX9bgncxT5+vCvPcV5iZSWkBanFDqBP5lBsObEDENIE5mnHJUW48VmBjrydnQXCOY7r2NSLckpZ1P4Ude7gQMkZaynXpTWCEqJH1I1s5MrFDkBIXU5WuB7uJkkLdualTlYI5jguFEDovc6nQg23fSlql14+/BEvGRfLcRx9uSTGilq2Rq5U7ACE2EiRG+bKJ4e68Co3Gy5AwnN+APxaaPb8nzc1/QMcuVNdPPlQjuPoeuDEGFHL1siViB2AmJ/6BjVxHOemz2WmFbLuuWXq9EEBkiwpz91zK5kQkVHL1shRy5boHc9B6WfPJUa6SQr8HDhnKwnC6w5qag1CJfz3JqvL+vtLjjtZc31ae/mEPABq2Ro5KrZEH5iHHZcc4crfkjvxtlWDmjqIHQoA1Aw2v6Sp+0S68cdCXbnuHMfRna+IMagUO4A+UbElpJmcrHA93FWSFuzCS5ysEMJxXAiAELFzNSQhV9M3qwSJ/dpK7HmO8xU7DyFNyBU7gD5RsSWkATZS5IW68ElhrnoZ1NQq8soQvi9FXTA4QPK3jQUXLXYeQhpBxdbI0QAp0ixSHiXtnPjECDe+xMuO85TyCOE4rpfYuR5UpRrO+6+qu3T35o/62nN9OY4z6WvQEqOVI3YAfTKHYkstW1IvDlC1deASI9z4vLYOvEvVoCZTbf3xpzI1sZn23N/dvXk5x3EuYgcipAalrz1fKHYIfTKHYksXbCfVdIOaAp14W5l2UFN7sUO1phvFLLogVX1jUIAky0LCRYidh5AqJt2FDJhHsc0WOwARj6MVbkS4Sq4FOfMSZ2sEG/qgptZQooTv3hR1RWxbyW8uNlw/sfMQAiq2JoGKrRmpHtQU6sqr3G04fwnPtQVAI3Hr0DBYHU5X9wtz5Y5HuPFdOY6zETsTMWtUbE1AltgBiP5UD2oKd+VLvGWmM6iptVzOY32yS9RX+vtLrHmO8xc7DzFbJj04CjCPYkstWxNSNajpUoQbn28Gg5paRUE5QvcmqwsHB0pO2Vpw3cXOQ8wStWxNQDYABrrVnrFiHrZcSoQbn1k1qCnMUK7UZEqUGjgeuKru1tWLP+LvwPXlOI7uA01ak8m3bDnGmNgZ9E6uEPIA0KkORsLRCjfCXSXXgv8d1OQudiZz4i3jzvb04X1pu5NW9JyvPf9/YofQJ3No2QLa1i0VWwNlI0VeSNWVmtxtuIjBtbkAACAASURBVLYSnvMHDWoSTabAOh+4qr41OFBywVJiXqdGEdGYfMvWXIptFoBwsUMQLRrUZPjKVPDam6x269tW8pu7LZ0eRPSOfrM1ETRISkQcoPLTXqkpv60D72RNg5qMAgMsfstQ9wty5v7o0IbvyHGcndiZiMmilq2JSBc7gLlpY8slR7jxmfJ/BzVRd6SRSilgMTml6qsD/CW8hOcCxc5DTJLJn6JpLsU2WewApq5qUFNasDPPO1kjmOe4YADBYuciLaOwAu32pqiLBwVI/pRZUpc/aVEFvvb8bbFD6BsVW3JfrKXID3Xhr4S58Ep3Wy6ArtRk+lQa2P+Uqu7VyYM/KnfienMcZy7HD6JfiWIHaA3m8mGhYvuApDxK5U78pQjtoCYPKY9QGtRkns5la2JvCdz53r68B8dxHmLnIUbPLIqtWZxnCwByhVAMQCZ2DmNRNajpcoQrn9vWkXeuGtRkKXYuYjisJcgZHCi5aSXlOomdhRi1l33t+dVih9A3c2nZAkAKADooNKJqUNMtuRNvXXX7uSixMxHDVa6G+74UtXOML3/UU8bHip2HGC2zaNmaU7FNBhXbWhwscTPcTZIa7MzzzjSoidwHBkh/v6GJlTuxE508+AiO4xzEzkSMDhVbE2P2v9taS5Ef4sxfCXPlVW1sdVdq8hE7FzF+qXdYz9xS9bWBAZJsCc/RFzbSXKUwk1MzebEDtCKzK7ZSHqUhLvzpR4KlR+I7W1ye2dHCeYC/tJeXjO9bVWgJaTFFlQjck6z2Kapgv4udpSEnfv8N0554BNGhfvBzkOB/W7fUep4xhtXLF6NriC+C2tghbuRAXElMaHSee7/dhZGx3RHp54IQT3sM690Fu7Z+3uD0/7dqBfwcJFj08nO1Hl+3dhU6yT3RSe6JTz+q/RPmxX/Oon/XCJSVld3T+hqBK772vFkMHDKnlm2S2AH0jQNUvg5cYqQrn9/WkXe0liCC47iuYuci5kPNYPvzNXXv9u78b8EuXE9DG1RXKggIjYjCY09Nwouzpt71vOLD97H+/1ZjtWIT5MGhWLPyHYx/ZBiOnk6EzN6+3nk6u7ji+fmvIygkDFKpBX75cR/mz5kBVzd3DBw2sta0Z06dwLYtGxAeVfvGVYkXz2PVsrew5X8/gDGGqY+PRr+BQxAe2R5qtRqvPD8L73ywFjY2Ni22LQyEWXQhA+ZVbC/ABG+118aWSwl35W+2c+ZtZRYIpSs1EUNwIUfTL6uES+jjxzvzHOctdp5qA4eN1BXAl+KfrvUcYwyffbIGz859FSMfGQcAWL1uCzq388R3u7Zh4tOz6p1n79iBtf5+5tnnsXv7Fzj15/FaxbaosBDPTZ+EDz7eiP+ueKfWa1KSLiM8soNuXuGRHXA16TLCI9tj4ydrEBoeib4DBj/Yyhsmsym2ZtONnBovK4YJtG4dLHGzhxd/fGKkxR/PdbW4/VSERVAnD0msvSXXjQanEEOSU8oi96eorcpV7IzYWZojI+0abmdnod/AIbrHbGxs0COmL06f/LNZ82CM4fiRX3A1+Qp6xPSt9dyrL8zCQ2PGIabfgLteFxbZHqkpSbh5PQM3MtJx7WoSQiOikJF2DZ+v/xhvLvvgwVbOcF0SO0BrMaeWLQCcARAqdoh7YS1BQYgLfyXMla9sY8v506AmYkwq1HDdl6J27uXDH/WScf04jjPYnqWc29rL87q3qX2dDrc2HsjKvNnoa4sKC9EtzA+VFRWQSCRYuuojDBg6Qvf8ti0bkJ56FWs3fFnv64NDw/HqW0sx/pFhAIBX31qG4NBwTBw7AvMXLcHJP49h1bK3odFoMP+NJRg+asyDrKohMZuWrbkV29MAnhI7RGOkHMrkTvylcDde8JZxbSy0V2rqKXYuQh4A/+dNTay/I3eqqycfynGco9iBWprM3h4/Hj+D0hIBx4/+iiWvz4Nv2wD06T8IV5OvYOXiRfjm4G+wsLBocB6TnpmNSc/M1v397c6tAIC+A4cgtksYvjv0OzQaDR79//buPEqK6tDj+Le6oVik2XeGZRAQISoChRrZ3DVqYmKMxvhM1CTGaFIhJu8Z44uGuMQl0fa5xagxRoxGo4kS3FFAFG1F1CDgwIDs+zowMzVTVe+PHkcI68BU3+6u3+ecOYfp6an+9RzO/OZW3br35FEMP+qLdOzUOfL3FbFasusfxEIcyzavWOCXtLbmDOqQWNu7daJt8yYcqklNUow+3RSOWFfpLz6hT3JFk4Q10HSe/9Spc1cA1qxeRY+eveofX7t6FZ27dN3j9yYSCUoP7gfA4MOHMH/eHO763W8ZOfYE3nvnLdavW8sJIz6fTuH7Pm9Pn8qjD/2BeSu30KxZsx2Ot2HdOm69/lc8MfFVZmZm0Kdvf/ofkt2Su0/f/rz/7tucdNqZjfK+DZpfkkrUmA6RK3Er25nkwSSpTi2t+YM6JJb1bZtokbIZqJWaJC4qPHo9V+ZXje2dnNauuTVq79+RO736lNK5S1emvfYKQ4Y5AFRVVfHOW2/wy9/c3KBjBUGAV10NwCmnn8XhM3bcvvnKyy6h9OB+XPGzX2DbO0/YHn/1lXzn0ivo2bsPsz+aRW3t551UU+Ph+35D314+mmU6QC7FqmzLL2u1ue+9FfPJ8SpJrW2WH9ohUd6/fdJq15x+CcvqB/TLZQaRfBGENJ+8yB81qGPijYEdrOGWZTXP1WtvrahgUXn2zGUQBCxfsoTZH86ibbv29OjZi0t+6HLX726i34BDKO03gDtvuYGWB7XirHPOrz/GeWeexJBhDldddyMAd956I0cOH0GvPn3xvGomv/Q8Tz/+KONvTQPQpm1b2rRtu0OOlgcdRNt27Rk4aOe/s6e99gqfzJ3Dbfc8CMARQx0WlM3jpUnZ24LKy+YxZNiISH4+OTbVdIBcilXZ1nmPiMt2u0lNNZ1bWj2TCasPkDe3P4jkg4/XBiNXbWXO6F7JVgnL6pmL1/zw/Xf5xukn1H/+uxuv43c3XsfXz7+Q2+/7E5f95OdUVVZyzZU/YtPGDQwZfhQT/vHCDvfYfrpwAd16fL6b5LatFVw97nJWLF9K8+Yt6DdgILf/4WHOOqfh00Mq61777j89RjKZBKBb9x7cdPs9XD3ucsIw5KY77qVrt6L4dRKrso3Nrj+f6Xtvxc+BWxrzmE0sKkvbJuYM6pjY3L2V1bVpggGWZcXmtiqRA9E0wcaTSpNlLZpajukskjNrgc5xWT0K4jmyfedAD2CBX5Ky5gzquMOkpqGNEU4kbmoC2k5a4A8f0T0xpSRljdIfqrEwLU5FC/Es27cBD2jQMnKdWloLBnVILK2b1HSIJjWJNCrrneXBmOUp670R3ROllmW1Nx1IIjXFdIBci91pZIC+91ZMA0bu6TmtbZYP7JAoH9A+kWjX3Do4YVld9vR8EWkcLZuy7MQ+yY1Nk9Zg01kkMkNLUon3TYfIpTiObCF7YX6Hsm2WZOMh7RNz61Zq6plMWKVoUpNIzm2rocdzZX6nMb2TUzu0sEabziONbiPwgekQuRbXke3JTSz+Udo28fGhHRJbeqSsLnUrNelakUgeOaS9NX1wp8RQy7KKbrubGPtXSSpxhukQuRbLke0JvZPTBndM1GqlJpH8Nm99eOzqbf4nY3snmyUs7cFcJGJ3vRZitOvP9v74pRaVlmXFavUSkUK1oYoBE8v8tlu98G3TWaRRxOr+2s/EsmzrvGI6gIjsm5qANi+U+yMWbQymhGFYFGsVxlQFebhGfS6obEWkUFjvrQzGvLUs+CgMwzWmw8h+easklag1HcKEOJftO8AW0yFEpGFWVIRDnl/g+54ffmQ6izRYLE8hQ4zL1nXsWmJ6oV6k0FXW0nVimT9w9dYgtr+8C1Rsf+fGtmzrvGg6gIjsnxCaTlsSjP5glf9mGIYVpvPIXq0H3jIdwpS4l+0zZPe3FZECNX9D+MVXF/mr/CAsN51F9mhiXK/XQszL1nXsZcAM0zlE5MBsqubgiWV+5y1eGNuRUwF4xnQAk2JdtnWeMh1ARA5cbUirl8r9YxZsCKaGYVhjOo/sYBsxv2ynslXZihSVWauC0dOXBnPCMFxpOovUe7Eklag0HcKk2Jet69iLaYQ9bkUkf6zaGh4+ab6frK4NtVJcfoj1KWRQ2X5Go1uRIlPl02nifP+wlRXB66azxFwtMNF0CNNUtlkqW5HilJy+NBg7c6U/IwzDzabDxNSrJanEBtMhTFPZAq5jLwRmms4hItFYuDE8+uWF/vraICwznSWG/mo6QD5Q2X5Oo1uRIrbFo8/EMr/HpupwuuksMVKNrtcCKtvtqWxFipwf0vKVhf6x89YF08Iw9EzniYHnS1IJnb5HZVvPdewy4EPTOUQkev9eE4yatiQoC8JwueksRU6nkOuobHf0pOkAIpIba7aFgyfN95tV1Yax3F81ByrQLOR6Ktsd/RnQxtQiMVHt0+Ff8/0jl20JXg/DUOukN65nS1KJbaZD5AuV7XZcx14CTDKdQ0RyKjFjWTD23RXBu2EYbjQdpog8bDpAPlHZ7uw+0wFEJPcWbw6dl8r9LbVBOMd0liIwF3jFdIh8orLd2QvAItMhRCT3Kmro+VyZX7qhKpxmOkuBu6ckldBp+e2obP+D69gBcL/pHCJiRhDSfPIif9THa4NpYRhWmc5TgLagU8g7Udnu2oOAtugSibE5a4NRry/2FwVhuMR0lgLzl5JUYovpEPlGZbsLrmOvRqueiMTe+koGTizzU9tqwozpLAXkLtMB8pHKdvc0UUpEqAlo+/wCf/jiTcGUMAwD03ny3OSSVEITzHZBZbsbrmO/BswznUNE8oKVWRGMeXt58H4YhutMh8lj/2c6QL5S2e7ZH0wHEJH8sWxLOOyFcr+6xg9nm86Shz4FnjMdIl+pbPfsYUCzEUWk3rYauj9X5vdfty2cajpLnrmvJJXQCny7obLdA9exNwCPm84hIvklBPv1xf7oj1b708Mw1JKE2UHJA6ZD5DOV7d7dAmhShIjs5JP14bGTP/WX+WG4yHQWw54oSSXWmg6Rz1S2e+E69hzg76ZziEh+2lhF/4llfvutXjjDdBaDNDFqL1S2++Z6QEuPicgu1Qa0fqHcP3rhxuD1MAzjdt3y7ZJUQtsU7oXKdh+4jv0h8E/TOUQkv81cGYx9a1nwURiGa0xnyaHrTQcoBCrbffcb0wFEJP+tqAiHTFrgB54ffmg6Sw7MKEkltEH8PlDZ7iPXsWeivW5FZB9U1dJlYpk/aPXWYIrpLBH7pekAhUJl2zDjTQcQkcIQQpNpS4Ixs1b5b4VhWGE6TwQml6QSk02HKBRWGGreT0OkM95LwEmmc4hI4WjdjPLjeyfDZMI62HSWRnRMSSoR5xnYDaKRbcNpdCsiDbK5mr4Ty/wuW6rDN01naSQTVbQNo5HtfkhnvNeAsaZziEjhOaJzYsrB7awvWpbV1HSW/RQCR5akEh+YDlJINLLdP5qZLCL75YPVwZg3lgZzgzBcYTrLfvqbirbhNLLdT+mMNxk4znQOESlMzZKsOak0ubRZE+tI01kawAcGl6QS2n60gTSy3X/jyP7HExFpsGqfThPn+4evqAimhIUz6nlERbt/NLI9AOmMdx9wqekcIlLY+rSx3h7aNTHQsqw2prPsgQcMKEklPjUdpBBpZHtgrgE2mg4hIoVt0abwqJcX+htrg/AT01n24I8q2v2nsj0ArmOvBX5tOoeIFL4tHr0nlvk9N1WFb5jOsgvb0BrIB0Rle+DuAuaYDiEihc8PafHKIn/kvHXBtDAMq03n2c6tJanEStMhCpmu2TaCdMY7BXjBdA4RKR4dW/DxqF7JNgnL6mE4yjzgiJJUIp/Kv+CobBtJOuNNBE43nUNEioedZP2JpcnyFk2s4QZjHFeSSrxu8PWLgk4jN55xQI3pECJSPDyf9pPm+0OXbjZ2e9DDKtrGobJtJK5jlwF3ms4hIkUn8fbyYExmRfBeGIYbcvi6a4Gf5fD1iprKtnGNB1aZDiEixWfJ5nD4i+X+1pogzNWEzCtLUol1OXqtoqdrto0snfEuBP5sOoeIFKeERfWYXsl32rewRkX4Mq+WpBInRnj82FHZRkCTpUQkaod2sN44tGNimGVZLRr50FXA4SWpRFkjHzfWdBo5Gt8D1psOISLFa866cOTrn/qLgzBc3MiHvkFF2/g0so1IOuOdD0wwnUNEilvTBJtOLE3Oa9nUGtEIh/uY7F61XiMcS7ajso1QOuP9Hfia6RwiUvTC4d0SU3u1tkZalpXc32MAo0tSiXxcLrLgqWwjlM54nYHZQEfTWWRn0568lzefeYD1K7Jrq3ctHcTJF1/F4JFfAmDCr79L5l9/2eF7en9hBOMemrbH49bWeLz00E28O2kCm9auINW+C8dd8BPGnHsFALNe+TuvPnIba5YuIKitoWPPfoz95o8ZccZ/1R/j3Rf+ysS7rqG6soIRZ1zIV8fdWv+1jauXkf7ecfz0oWmkOnRplJ+FFIceKWvmUd0TvSzL2p/fOQ+UpBLfa/RQAkAT0wGKmevYq9MZ7zLgSdNZZGdtO/fgzCtuoFPPfoRBQOZfj/Lgz8/hZ4/MoHv/wwAYMOJ4LrjuT/Xfk2xq7/W4j/zyAjauXsa5V99Dx5792LJ+NTXVlfVfb9mmPSddfBVd+hxCsklTZr8xicdvuJRW7Toy6NjTqNi4lidu+AHf/NUDdOxRyv3jzmLA8LEMHpWdc/fULS6nXPwLFa3sZNmWcOgLC/wVJ5YmZzdNWoMb8K2rgf+OKpeobCPnOvZT6Yz3OHCe6Syyo8PGfHmHz0//4XimP30/Cz/6vGybNG1G645d9/mYc2e8zCeZ17jmmTm0apsdXHTo3meH5wxwjtvh8zHn/YjMvx5lwazpDDr2NNYtW0jzg9ow9KRzAOg3bAyrFs1l8KjT+WDyM1Rt3cxRX/5OA9+txMW2Wro9V+Z3GN0rObVjS2v0PnxLCFxUkkrkcsGM2NFs5Ny4HNCOGXks8H1mvvQ3qrdVUHr4MfWPl3/wJtecUsINZw/m8RsuY8v61Xs8zkdTnqXXoGG8/liaa8/oy/VnD+Lvt42jelvFLp8fhiGfvDOZ1Z9+wsFHjgSgU89+eNXbWDpvFls3rWfJx+/Srd9hVFZs4tk7r+LcX9yNZVmN9+al6IRgT1nsj/5wtT89DMNte3n6nSWpxKScBIsxXbPNkXTG+zLwT9M5ZEfL5/+bOy4ZTa1Xhd2iFf81/uH6a7YzX/obdvMWtO9eyvoVi5h073UEgc/PHplBE7vZLo9334/PYP7MqQxwjuPkS35J5ZaNPH3bOLr3P4yLfvt4/fMqKzZx7eml1HrVJJJJvv7zNEd/5aL6r3/42j95/v5fU1NdybBTz+e07/8vT9z0Q9p16UX/4WN4+rafUl21lTHnXsGxZ38/0p+RFLa2zSkb2yvZJJmwSnfx5feBozX7OHoq2xxKZ7w/AxeaziGfq63x2LByMVUVm5k1+Wlm/OMhrrjvZbodvPPlrk1rlvPrL/fn2zdO4Ijjztrl8e790ZconzWd8c8vpkWrNkD21PJ9Pz6D3zy/uP46axAErFtWTnXlVsoyk3nxgRu5+OYnGDDi+F0et3zWdJ66xcV94HVuPOcwvnXtg3Tpeyi3nD+cy+95ke79vtBIPxEpRk0SbDmhT3J2K9s6eruHtwLDSlKJeaZyxYlOI+fWj4BPTIeQzzVpatOpZz96HjqUMy+/nh4DDuf1x3a9n0SbTt1p27kHaxbP3+3xWnfoRptO3euLFqBL6UAANqxaUv9YIpGgU89+lAw4guO+NY4hJ5zNyw/fvMtj1nrV/O23V/CNX9zNumULqa3xGDDieNp07Ea/oaOZ/96U/XnrEiO1AakXy/2jyzcGU8IwrK172FXR5o7KNodcx95M9r7braazyK6FQUhtza73yK7YuJZNa5bvccJU6RHHsGnNih2u0a75NLsYT7uuvXb7fUEYUFuz6zN5Lz98M/2Hj6XPYUcRhAGBX1v/Nb/WIwj8Pb4nkc+8vzIY8+bSYHaNHz5Ykko8aDpPnKhsc8x17NnAd03nEHjurl+y4P03WLd8Ecvn/5vn7r6G+TOnMOzU86jeVsE/0//Dwg9nsG75Isrem8Iff/o1WrXvzOFjv1J/jEevvZhHr724/vNhp5zHQW068Nj477FiwceUf/AmT//+So44/muk2ncG4KWHfsu8d15l7bJyVi6cw2sTbufdSRMYfuo3d8q4snwO773wV06/bDwAnXsNIJFswvS/38+C99/gk8xr9D3i2Ih/UlJMVm4NWz5b5v/UdI640a0/BriO/Xg64x0D/Nh0ljjbvG4Vj157EZvXraRFqzZ07/cFvn/Hsxx6zMl4VZUsn/9vMpMmULllI607dqPfsDF856YJND8oVX+M7U8NAzRr2YrL7p7E07eN4/ff+SItW7fjsDFncsblN9Q/p7qygidv/hGbVi+jabMWdO59CN+67iGGnXLuDscKw5AnbvohZ427tf417eYtuODXD/HULS5VFZs56aKr6DVoWIQ/JSkylcA5dWfZJIc0QcqQdMZrCkwGRprOIiKxcYnr2A+ZDhFHKluD0hmvGzAT2PdVE0RE9s+fXMe+eO9Pkyjomq1BrmOvAL4B1O7tuSIiB+BDsovriCEqW8Ncx56G1iQVkeisAb7qOnblXp8pkdFp5DxRt37yuXt9oojIvqsCjncd+y3TQeJOI9v88V2yGzeLiDSGELhQRZsfVLZ5wnXsCuArZE/5iIgcqKtdx9b2nnlCp5HzTDrjOcBrwEGms4hIwXrAdWxtBJ9HNLLNM65jZ4CzgRrTWUSkIL0MXGY6hOxIZZuHXMd+EbiE7DUXEZF9NRv4uuvYup0wz6hs85Tr2H8BrjKdQ0QKxkrgS1qKMT+pbPOY69i3AHeYziEieW8bcKbr2ItNB5FdU9nmv58Cj5sOISJ5KwC+5Tr2u6aDyO5pNnIBSGc8G5gEnGA6i4jklQD4tuvYj5oOInumsi0Q6YyXAqYCQ0xnEZG8EAAXuY79iOkgsnc6jVwgXMfeApwGlJvOIiLGBWS3y1PRFgiVbQFxHXslMBZYYDiKiJgTAt9zHfth00Fk36lsC4zr2EvIFu58w1FEJPdC4FJtAF94VLYFyHXspcAY4BPTWUQkZ0LgB65j/9F0EGk4lW2Bch17OdnCnWs6i4jkxOWuY99vOoTsH5VtAdvuGu5HhqOISLSucB37XtMhZP+pbAuc69iryBbuO4ajiEg0XNex7zYdQg6M7rMtEumM1wp4jmzxikjhqwG+q9t7ioPKtoikM15z4CngdNNZROSAbAbOdh37FdNBpHHoNHIRcR27CvgqWktZpJAtBUaqaIuLyrbIuI5dA5wPXG86i4g02IfAMa5ja9JjkdFp5CKWznjnAw8CzU1nEZG9eoXsqWPtR1uENLItYq5jPwYcB6wynUVE9ujPaOP3oqaRbQykM14vsjOVDzedRUR2Mt517GtNh5BoqWxjou7WoAnAl01nEREAaskuv/ig6SASPZ1GjgnXsSvIzlS+1XQWEWEt2dPGKtqY0Mg2htIZ7yLgPsA2nUUkht4Ezq3bUERiQiPbGHId+0/AiWT/uhaR3Pk9MFZFGz8a2cZYOuOVAI+S3T1IRKKzCfiO69j/MB1EzNDINsbq/ro+HvgV4BuOI1KsZgJDVbTxppGtAJDOeF8EHgN6m84iUkTuA37iOna16SBilspW6qUzXhvgfuAbprOIFLitwKWuY08wHUTyg8pWdpLOeJcAdwItTWcRKUCzgXNcx55jOojkD12zlZ3U3fs3FHjfdBaRAhIAtwMjVLTynzSyld1KZzwbuBlwActwHJF8Nge42HXsGaaDSH5S2cpepTPeqcAfgF6ms4jkmVrgFrLrG2sSlOyWylb2STrjHQSMJzvKTRqOI5IPPgAuch1bl1tkr1S20iDpjDeE7Ch3hOksIoZ4wG+Am13HrjEdRgqDylYaLJ3xEsAPgBuBNobjiOTSO2Svzc42HUQKi8pW9ls643UD7kD35UrxqyS70trtrmNrtTVpMJWtHLB0xjsNuBsoNZ1FJAJPAFe5jr3IdBApXCpbaRTpjNeC7F/+VwJNDccRaQxvAlfqdh5pDCpbaVTpjHcocAPZjepFClE52ZHsk6aDSPFQ2Uok0hnvKLITqI43nUVkH20Ergf+z3Vsz3QYKS4qW4lUOuOdCNwEDDedRWQ3aoB7yC5Msd50GClOKlvJiXTGO5vsqGGg6Swi23kG+B/XsctMB5HiprKVnElnvCTwbeA6oKfZNBJzLwA3uI79hukgEg8qW8m5dMZrBlwGXA10MhxH4sMHngR+6zr2B6bDSLyobMWYdMZrBVwC/BjoaziOFK8q4GHgVtexyw1nkZhS2Ypxdcs/fgUYB4wyHEeKxybgXuAO17FXmQ4j8aaylbySznjDyJbuN9DiGLJ/VpFdRvRe17E3mQ4jAipbyVPpjNcDuBy4FGhvOI4UhnlkS/Zh17GrTIcR2Z7KVvJaOuO1BC4EfgIcYjiO5J9q4GngD65jTzEdRmR3VLZSENIZzwJOJlu8ZwEtzSYSw+YCfwT+7Dr2OtNhRPZGZSsFp24W81eBC4ATgKTZRJIjm4C/kS3Y6abDiDSEylYKWjrjdQW+SbZ4hxqOI43PB14CHgH+oWuxUqhUtlI06nYcugD4FtDbcBzZfzXAVOBZ4EnXsVcYziNywFS2UnTqru+OBM4DvgT0MRpI9sVG4HmyBfu8btmRYqOylaKXzniHAKfWfYwBWphNJHUWki3XZ4GprmPXGs4jEhmVrcRKOuM1J1u4pwKnAIeaTRQrIZAB/gk86zr2vw3nEckZla3EWjrj9eLzUe8JQGuziYpKJfAuMB14E3hTt+lIXKlsReqkM14T4AvA0dt9DAAsk7kKyEqyxfpZuc50S3IBrwAAAiNJREFUHbvGbCSR/KCyFdmDdMZrCxwFDAeOrPvQDkXZlZvmUjdiBaa7jr3QbCSR/KWyFWmgugIeQrZ4DyNbvn2BHkDCYLQorCG75vDc7T7mAQtdx/ZNBhMpJCpbkUaSzng22ft7+wKlfF7Cn/27rbl0u+UDa8mWajmfl+lcYK7r2OsNZhMpGipbkRxJZ7x2ZIu3E9CGbPm22e7jPz//7LEU2Zm8fgM+KskW6Gcfq//j888e2+A6tn4JiERMZSsiIhKxYru+JCIikndUtiIiIhFT2YqIiERMZSsiIhIxla2IiEjEVLYiIiIRU9mKiIhETGUrIiISMZWtiIhIxFS2IiIiEVPZioiIRExlKyIiEjGVrYiISMRUtiIiIhFT2YqIiERMZSsiIhIxla2IiEjEVLYiIiIRU9mKiIhETGUrIiISMZWtiIhIxFS2IiIiEVPZioiIRExlKyIiEjGVrYiISMRUtiIiIhFT2YqIiERMZSsiIhIxla2IiEjEVLYiIiIRU9mKiIhETGUrIiISMZWtiIhIxFS2IiIiEVPZioiIRExlKyIiEjGVrYiISMRUtiIiIhFT2YqIiERMZSsiIhIxla2IiEjEVLYiIiIRU9mKiIhETGUrIiISMZWtiIhIxFS2IiIiEVPZioiIRExlKyIiEjGVrYiISMRUtiIiIhFT2YqIiERMZSsiIhIxla2IiEjEVLYiIiIRU9mKiIhETGUrIiISsf8HoA+qmtbjqxYAAAAASUVORK5CYII=\n",
         "text/plain": "<Figure size 504x504 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "title = 'Have you ever been unable to reproduce published results of others?'\ndraw_pie_chart(title)",
      "start_time": "2020-05-28T12:20:06.567Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'Have you ever been unable to reproduce published results of others?'\n",
    "draw_pie_chart(title)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Has anybody contacted you that they have a problem in reproducing your published results?"
     }
    ]
   },
   "source": [
    "### Has anybody contacted you that they have a problem in reproducing your published results?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:06.921655Z",
     "start_time": "2020-05-28T12:20:06.767947Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:06.921Z",
      "execution_time": "154ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 504x504 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "title = 'Has anybody contacted you that they have a problem in reproducing your published results?'\ndraw_pie_chart(title)",
      "start_time": "2020-05-28T12:20:06.767Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'Has anybody contacted you that they have a problem in reproducing your published results?'\n",
    "draw_pie_chart(title)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Do you repeat your experiments to verify the results?"
     }
    ]
   },
   "source": [
    "### Do you repeat your experiments to verify the results?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:07.087382Z",
     "start_time": "2020-05-28T12:20:06.926812Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:07.087Z",
      "execution_time": "161ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 504x504 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "title = 'Do you repeat your experiments to verify the results?'\ndraw_pie_chart(title)",
      "start_time": "2020-05-28T12:20:06.926Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'Do you repeat your experiments to verify the results?'\n",
    "draw_pie_chart(title)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "## Important factors to understand a scientific experiment to enable reproducibility"
     }
    ]
   },
   "source": [
    "## Important factors to understand a scientific experiment to enable reproducibility"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### What is your opinion on sharing experimental data?"
     }
    ]
   },
   "source": [
    "### What is your opinion on sharing experimental data?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:07.566563Z",
     "start_time": "2020-05-28T12:20:07.090646Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:07.566Z",
      "execution_time": "476ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = df.loc[:, 'What is your opinion on sharing experimental data? [Raw Data]':'What is your opinion on sharing experimental data? [Text Annotations]']\ncolumn_array = ['Raw Data', 'Processed Data', 'Negative Results', 'Measurements', 'Scripts/Code/Program', 'Image Annotations', 'Text Annotations']\ndf1.columns = column_array\ntitle = 'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)?'\ndraw_bar_chart_mul_col(column_array, title, df1)",
      "start_time": "2020-05-28T12:20:07.090Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.loc[:, 'What is your opinion on sharing experimental data? [Raw Data]':'What is your opinion on sharing experimental data? [Text Annotations]']\n",
    "column_array = ['Raw Data', 'Processed Data', 'Negative Results', 'Measurements', 'Scripts/Code/Program', 'Image Annotations', 'Text Annotations']\n",
    "df1.columns = column_array\n",
    "title = 'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)?'\n",
    "draw_bar_chart_mul_col(column_array, title, df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### What is your opinion on sharing metadata regarding experimental requirements?"
     }
    ]
   },
   "source": [
    "### What is your opinion on sharing metadata regarding experimental requirements?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:08.017014Z",
     "start_time": "2020-05-28T12:20:07.571458Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:08.017Z",
      "execution_time": "446ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = df.loc[:, 'What is your opinion on sharing metadata regarding experimental requirements? [Experiment Materials]':'What is your opinion on sharing metadata regarding experimental requirements? [Instruments/Devices Used]']\ncolumn_array = ['Experiment Materials', 'Instruments/Devices Used']\ndf1.columns = column_array\ntitle='What is your opinion on sharing metadata regarding experimental requirements?'\ndraw_bar_chart_mul_col(column_array, title, df1)",
      "start_time": "2020-05-28T12:20:07.571Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.loc[:, 'What is your opinion on sharing metadata regarding experimental requirements? [Experiment Materials]':'What is your opinion on sharing metadata regarding experimental requirements? [Instruments/Devices Used]']\n",
    "column_array = ['Experiment Materials', 'Instruments/Devices Used']\n",
    "df1.columns = column_array\n",
    "title='What is your opinion on sharing metadata regarding experimental requirements?'\n",
    "draw_bar_chart_mul_col(column_array, title, df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### What is your opinion on sharing metadata regarding settings?"
     }
    ]
   },
   "source": [
    "### What is your opinion on sharing metadata regarding settings?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:08.552316Z",
     "start_time": "2020-05-28T12:20:08.022118Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:08.552Z",
      "execution_time": "530ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = df.loc[:, 'What is your opinion on sharing metadata regarding settings? [Instrument Settings]':'What is your opinion on sharing metadata regarding settings? [Publications used]']\ncolumn_array = ['Instrument Settings', 'Experiment Environment Conditions', 'Publications used']\ndf1.columns = column_array\ntitle='What is your opinion on sharing metadata regarding settings?'\ndraw_bar_chart_mul_col(column_array, title, df1)",
      "start_time": "2020-05-28T12:20:08.022Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.loc[:, 'What is your opinion on sharing metadata regarding settings? [Instrument Settings]':'What is your opinion on sharing metadata regarding settings? [Publications used]']\n",
    "column_array = ['Instrument Settings', 'Experiment Environment Conditions', 'Publications used']\n",
    "df1.columns = column_array\n",
    "title='What is your opinion on sharing metadata regarding settings?'\n",
    "draw_bar_chart_mul_col(column_array, title, df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### What is your opinion on sharing metadata regarding time, duration, and the location of experiments?"
     }
    ]
   },
   "source": [
    "### What is your opinion on sharing metadata regarding time, duration, and the location of experiments?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:09.035204Z",
     "start_time": "2020-05-28T12:20:08.556774Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:09.035Z",
      "execution_time": "479ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = df.loc[:, 'What is your opinion on sharing metadata regarding time, duration, and the location of experiments? [Date]':'What is your opinion on sharing metadata regarding time, duration, and the location of experiments? [Location]']\ncolumn_array=['Date', 'Time', 'Duration', 'Location']\ndf1.columns = column_array\ntitle='What is your opinion on sharing metadata regarding time, duration, and the location of experiments?'\ndraw_bar_chart_mul_col(column_array, title, df1)",
      "start_time": "2020-05-28T12:20:08.556Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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8Lslfpbv/7PR+GzVo9Gc6Mg+TbWeT6VuHr093Ru0xA2X9Sq11nymO/7B6TLJf3DnrfzzARkZQY63UWu9NsjzJq5N8daDXRX23tXna4zbpLim4s98ojz5QvyXdPRuTKqU8pZTy7H5jfl+6b70enGCUD6Q7kF2Q5BMD3T+S5C9LKTuUUh6T7t6RkceYX55kn1LKolLKvKzlU5dqrdenO/v496WUeaWU/dLddD34mPQDSikv7s9C/Um6ncDX16acMUw0T9Nd/ykppSzuv73fPN0B5X2Z+PMasU26gHJbkrmllP+T7v6w6XJOkj8vpWzXt8mTp3Ha70lyUj/fpZTyyFLK8wYOdEa3923Sff53pDvgftNIj/7b3U8kWVpK2aqUsne6ezEGx51oOd2SZPeBg8RHpLvf5bYkD5RSfivdJWJr413plt0+SVJK2baU8r/6fp9LsqCU8sK+bf9RugdsDNZ3om3BaJf08/eqUsrmpZQXp7uncV2ck+QPSinzSylbJfnfkww/5e3SFFya5O5SyutLKVv2Z0v2LaUsTtb87tZ4B5WTLYN12V5tk+4syX2llAPThYIRt6VbR8eb988n+dVSytGllLmllN9Jd7D52SmUO/JY/OMnqNddSe4ppeyV7l6fqTon3TLatZSyXboHf0xkbT/fdyX5u1LKE5Kk386+YArjfSPd2ao/6z+/Jekus/tof5btfUneUkrZpW8Xv9bv38bdLkyx/q3sD8bdXvRfPpyZ7iEdL0sXtv9m1Ph/1H+mj053/9jH+u6TbWenTX8lzhfSBclfKaVsVkp5Yinl0ClO4iGf1RT2i6en23YyiwhqrIuvpDu1P/jjul/tu61NUHtjkv3TfdP/uTw0MCXd9e5/2V9S8NpJprVFugdB3J7uUoMd093rMZ5Ppr9kZeByhKS70X95uodIXJHuiWp/myS11qvT3WT9pXRPF1uXHxc+Kt03oDf1dfirWuuXBvp/Osnv5Jc35b+4vwRkfYw7T+tgsvpP1a+k26H+ON1lK3ck+f+mMN5/pLtf4ep+vPsyPZeqjfjrdJfkfT/d53xuuoOi9VZrXZ7urPMZ6eb7e+nuYRgxur1/IN083pjuoSSjA/vJ6S6h+WG6g5r3D/SbbDn9a///jlLKN/vLl16V7qD2x+kO0D+zlvP3yXRnsT9aukuyvpPkt/p+tyf5X+nuDbsj3QH88vxy2U62LRhd1i/SnRE/Pt0lU78z2TgTTOvfkrw93UMmvpdfLufxPve3JXlJ6X7I9+3rUuZA2avTPaFuUbo2d3uS96Y7U5J0Zw0uHmfcCZfBOm6vXpnkr0spd6c7gD9nYHo/S/eAh6/1bfSgUfW5o5+X16T7jP8syfP7z35CpZRHpLv/ZrwvpV6brk3enW678bFxhhvLe9KtD5en2/ZN1k7WZr+TdO3hM0m+0C+3r6e793BC/ef3P9KtI7eneyjH79dar+oHeW267fVl6T7ff0h3zDbZduFfkuzd1/9TYxTdxP5gou1Fum3Rjkn+d3/J4x+k+zLlkIFJfDhdSLou3SWiI/vpybaz0+33033RNfIEynPTnfmaitHbksn2i69KF9aYRUaePAOzTinl2nSXXqxL0Jh2pZSl6W70/71h14VOKeUP0z00YKrfkDIF/Zm8G5IcU2s9f9j1GVRKmZ/uoHGLUffqDKMu703yr7XW/xhmPTa0Usozk/xRrfWoYdeF9pVSVqV7CEcT+27YkJxRY1YqpRyZ7vrw84ZdF9pRStm5lHJwfwnLU9KdHfjksOu1KSilPKeU8qj+8q2Re4zW97LeaVFKeVEpZYv+0rh/SPf7U0MNaUlSaz1hUw9pSVJrvUhIA3g4QY1Zp5RyQbqb0/9o1BO34BHpntp1d7oQ/+l0lySx/n4t3SVKt6e75OuF/T2vLXhFuseQX5vuiX1rcw8UAGwQLn0EAABojDNqAAAAjRHUAAAAGjN3hstznSUAADCblckHcUYNAACgOYIaAABAYwQ1AACAxghqAAAAjZnph4k8zP33358bbrgh991337CrslGZN29edt1112y++ebDrgoAADDNZvoHrx9W2Pe///1ss8022X777VPKlB6AMuvVWnPHHXfk7rvvzh577DHs6gAAAFO3cTz18b777hPS1lIpJdtvv72zkAAAsIkaelBLIqStA8sMAAA2XU0EtWGbM2dOFi1alH322ScLFy7M6aefngcffHDCcVatWpUPf/jDM1RDAABgNhn6w0RG2/3Uz03r9Fad9rxJh9lyyy2zYsWKJMmtt96ao48+OnfddVfe+MY3jj/dPqgdffTR01ZXAACAxBm1h9lxxx2zbNmynHHGGam1ZtWqVTnkkEOy//77Z//998/FF1+cJDn11FPz1a9+NYsWLcpb3/rWrF69Oq973euyePHi7Lfffnn3u9895DkBAAA2Vs2dUWvBnnvumdWrV+fWW2/NjjvumC9+8YuZN29errnmmhx11FFZvnx5TjvttLz5zW/OZz/72STJsmXLsu222+ayyy7Lz3/+8xx88ME5/PDDPZURAABYa4LaJO6///6cfPLJWbFiRebMmZOrr756zOG+8IUv5Nvf/nbOPffcJMmdd96Za665RlADAADWmqA2huuuuy5z5szJjjvumDe+8Y3Zaaedcvnll+fBBx/MvHnzxhyn1pp3vOMdec5znjPDtQUAADY17lEb5bbbbstJJ52Uk08+OaWU3Hnnndl5552z2Wab5YMf/GBWr16dJNlmm21y9913rxnvOc95Tt75znfm/vvvT5JcffXV+elPfzqUeQAAADZuzqgluffee7No0aLcf//9mTt3bo499ti8+tWvTpK88pWvzJFHHpkPfOADOeKII/LIRz4ySbLffvtlzpw5WbhwYY4//viccsopWbVqVfbff//UWrPDDjvkU5/61DBnCwAA2EiVWutMlvewwlauXJn58+fPZB02GZYdAABsdMpUBnLpIwAAQGMENQAAgMYIagAAAI0R1AAAABojqAEAADTG4/kBAICHWXDWghkp54rjrpiRcjY2sz6o3XHHHTnssMOSJD/84Q8zZ86c7LDDDkmSrbbaKhdffPEwqwcAAMxC7QW1pdtO8/TunLD39ttvnxUrVnSDLl2arbfeOq997Wuntw4AAABrwT1qE9h6662TJBdccEEOPfTQvOAFL8iee+6ZU089NWeffXYOPPDALFiwINdee22S5LbbbsuRRx6ZxYsXZ/Hixfna1742zOoDAAAbKUFtii6//PK8613vysqVK/PBD34wV199dS699NKccMIJecc73pEkOeWUU/Knf/qnueyyy/Lxj388J5xwwpBrDQAAbIzau/SxUYsXL87OO++cJHniE5+Yww8/PEmyYMGCnH/++UmSL33pS7nyyivXjHPXXXflnnvuWXNmDgAAYCoEtSnaYost1rzebLPN1rzfbLPN8sADDyRJHnzwwXz961/PvHnzhlJHAABg0+DSx2l0+OGHr7kMMsmah5QAAACsDUFtGr397W/P8uXLs99++2XvvffOu971rmFXCQAA2AiVWutMlvewwlauXJn58+fPZB02GZYdAAAbih+83mDKVAZyRg0AAKAxghoAAEBjBDUAAIDGCGoAAACNEdQAAAAaI6gBAAA0RlBLMmfOnCxatCj77LNPFi5cmNNPPz0PPvjgtE3/zDPPzE033bTm/QknnJArr7xy2qYPAABsWuYOuwKjTffvNUzldxm23HLLrFixIkly66235uijj85dd92VN77xjVMuZ/Xq1ZkzZ86Y/c4888zsu+++2WWXXZIk733ve6c8XQAAYPZxRm2UHXfcMcuWLcsZZ5yRWmvOPPPMnHzyyWv6P//5z88FF1yQJNl6663zmte8JgsXLswll1ySv/7rv87ixYuz77775sQTT0ytNeeee26WL1+eY445JosWLcq9996bJUuWZPny5UmSj3zkI1mwYEH23XffvP71r19TztZbb52/+Iu/yMKFC3PQQQfllltumdHlAAAADI+gNoY999wzq1evzq233jrhcD/96U/z9Kc/PZdffnme+cxn5uSTT85ll12W73znO7n33nvz2c9+Ni95yUvytKc9LWeffXZWrFiRLbfccs34N910U17/+tfnvPPOy4oVK3LZZZflU5/61JppH3TQQbn88svzrGc9K+95z3s26DwDAADtENTWw5w5c3LkkUeueX/++efn6U9/ehYsWJDzzjsv3/3udycc/7LLLsuSJUuyww47ZO7cuTnmmGNy4YUXJkke8YhH5PnPf36S5IADDsiqVas22HwAAABtae4etRZcd911mTNnTnbcccfMnTv3IQ8Wue+++9a8njdv3pr70u6777688pWvzPLly7Pbbrtl6dKlDxl2bW2++eYppSTpAuEDDzywztMCAAA2Ls6ojXLbbbflpJNOysknn5xSSnbfffesWLEiDz74YK6//vpceumlY443Esoe85jH5J577sm55567pt8222yTu++++2HjHHjggfnKV76S22+/PatXr85HPvKRHHrooRtmxgAAgI2GM2pJ7r333ixatCj3339/5s6dm2OPPTavfvWrkyQHH3xw9thjj+y9996ZP39+9t9//zGn8ahHPSovf/nLs+++++axj31sFi9evKbf8ccfn5NOOilbbrllLrnkkjXdd95555x22mn59V//9dRa87znPS8veMELNuzMAgAAzSu11pks72GFrVy5MvPnz5/JOmwyLDsAADaU6f7ZrPFM5ee0NjFlKgO59BEAAKAxghoAAEBjBDUAAIDGCGoAAACNEdQAAAAaI6gBAAA0RlBLsvXWW2+wab/pTW96yPtnPOMZG6wsAABg09DcD16v3Gt6fxds/lUrp3V6a+tNb3pT3vCGN6x5f/HFFw+xNgAAwMbAGbVxrFq1Ks9+9rOz33775bDDDssPfvCDJMktt9ySF73oRVm4cGEWLly4Jni98IUvzAEHHJB99tkny5YtS5Kceuqpuffee7No0aIcc8wxSX559q7Wmte97nXZd999s2DBgnzsYx9LklxwwQVZsmRJXvKSl2SvvfbKMccckxn+UXIAAGDImjuj1oo//uM/znHHHZfjjjsu73vf+/KqV70qn/rUp/KqV70qhx56aD75yU9m9erVueeee5Ik73vf+/LoRz869957bxYvXpwjjzwyp512Ws4444ysWLHiYdP/xCc+kRUrVuTyyy/P7bffnsWLF+dZz3pWkuRb3/pWvvvd72aXXXbJwQcfnK997Wt55jOfOaPzDwAADI8zauO45JJLcvTRRydJjj322Fx00UVJkvPOOy9/+Id/mCSZM2dOtt122yTJ29/+9ixcuDAHHXRQrr/++lxzzTUTTv+iiy7KUUcdlTlz5mSnnXbKoYcemssuuyxJcuCBB2bXXXfNZpttlkWLFmXVqlUbaC4BAIAWOaM2DS644IJ86UtfyiWXXJKtttoqS5YsyX333bfO09tiiy3WvJ4zZ04eeOCB6agmAACwkXBGbRzPeMYz8tGPfjRJcvbZZ+eQQw5Jkhx22GF55zvfmSRZvXp17rzzztx5553ZbrvtstVWW+Wqq67K17/+9TXT2XzzzXP//fc/bPqHHHJIPvaxj2X16tW57bbbcuGFF+bAAw+cgTkDAABaJ6gl+dnPfpZdd911zd9b3vKWvOMd78j73//+7LfffvngBz+Yt73tbUmSt73tbTn//POzYMGCHHDAAbnyyitzxBFH5IEHHsj8+fNz6qmn5qCDDloz7RNPPDH77bffmoeJjHjRi16U/fbbLwsXLsyzn/3s/OM//mMe+9jHzuh8AwAAbSqTPVGwlDIvyYVJtkh3qeS5tda/KqXskeSjSbZP8p9Jjq21/mKS8h5W2MqVKzN//vQ+kn+2sOwAANhQFpy1YEbKueK4K2aknIaUqQw0lTNqP0/y7FrrwiSLkhxRSjkoyT8keWut9UlJfpzkZetaUwAAAH5p0qBWO/f0bzfv/2qSZyc5t+9+VpIXbpAaAgAAzDJTuketlDKnlLIiya1Jvpjk2iQ/qbWOPI7whiSPG2fcE0spy0spy0d+CBoAAIDxTenx/LXW1UkWlVIeleSTSfaaagG11mVJRhLamDc62deBAAAgAElEQVTE1VpTypQu1aQ32b2FAADAxmutnvpYa/1JkvOT/FqSR5VSRoLerkluXJcKzJs3L3fccYfgsRZqrbnjjjsyb968YVcFAADYACY9o1ZK2SHJ/bXWn5RStkzym+keJHJ+kpeke/LjcUk+vS4V2HXXXXPDDTfktttuW5fRZ6158+Zl1113HXY1AACADWAqlz7unOSsUsqcdGfgzqm1fraUcmWSj5ZS/jbJt5L8y7pUYPPNN88ee+yxLqMCAABskiYNarXWbyd56hjdr0ty4IaoFAAAwGy2VveoAQAAsOEJagAAAI0R1AAAABojqAEAADRGUAMAAGiMoAYAANAYQQ0AAKAxghoAAEBjBDUAAIDGCGoAAACNEdQAAAAaI6gBAAA0RlADAABojKAGAADQGEENAACgMYIaAABAYwQ1AACAxghqAAAAjRHUAAAAGiOoAQAANEZQAwAAaIygBgAA0BhBDQAAoDGCGgAAQGMENQAAgMYIagAAAI0R1AAAABojqAEAADRGUAMAAGiMoAYAANAYQQ0AAKAxghoAAEBjBDUAAIDGCGoAAACNEdQAAAAaI6gBAAA0RlADAABojKAGAADQGEENAACgMYIaAABAYwQ1AACAxghqAAAAjRHUAAAAGiOoAQAANEZQAwAAaIygBgAA0BhBDQAAoDGCGgAAQGMENQAAgMYIagAAAI0R1AAAABojqAEAADRGUAMAAGiMoAYAANAYQQ0AAKAxghoAAEBjBDUAAIDGCGoAAACNEdQAAAAaI6gBAAA0RlADAABozKRBrZSyWynl/FLKlaWU75ZSTum7Ly2l3FhKWdH/PXfDVxcAAGDTN3cKwzyQ5DW11m+WUrZJ8p+llC/2/d5aa33zhqseAADA7DNpUKu13pzk5v713aWUlUket6ErBgAAMFut1T1qpZTdkzw1yTf6TieXUr5dSnlfKWW7aa4bAADArDTloFZK2TrJx5P8Sa31riTvTPLEJIvSnXE7fZzxTiylLC+lLF+2bNk0VBkAAGDTNpV71FJK2TxdSDu71vqJJKm13jLQ/z1JPjvWuLXWZUlGElpdr9oCAADMAlN56mNJ8i9JVtZa3zLQfeeBwV6U5DvTXz0AAIDZZypn1A5OcmySK0opK/pub0hyVCllUbqzZKuSvGKD1BAAAGCWmcpTHy9KUsbo9fnprw4AAABr9dRHAAAANjxBDQAAoDGCGgAAQGMENQAAgMYIagAAAI0R1AAAABojqAEAADRGUAMAAGiMoAYAANAYQQ0AAKAxghoAAEBjBDUAAIDGCGoAAACNEdQAAAAaI6gBAAA0RlADAABojKAGAADQGEENAACgMYIaAABAYwQ1AACAxghqAAAAjRHUAAAAGiOoAQAANGbusCsAAAAbs91P/dyMlbXqtOfNWFkMlzNqAAAAjRHUAAAAGiOoAQAANEZQAwAAaIygBgAA0BhBDQAAoDGCGgAAQGMENQAAgMYIagAAAI0R1AAAABojqAEAADRGUAMAAGiMoAYAANCYucOuAAAAMEVLt525svZ4/MyVxcM4owYAANAYQQ0AAKAxghoAAEBjBDUAAIDGCGoAAACNEdQAAAAaI6gBAAA0RlADAABojKAGAADQGEENAACgMYIaAABAYwQ1AACAxghqAAAAjRHUAAAAGiOoAQAANEZQAwAAaIygBgAA0BhBDQAAoDGCGgAAQGMENQAAgMYIagAAAI0R1AAAABojqAEAADRGUAMAAGjMpEGtlLJbKeX8UsqVpZTvllJO6bs/upTyxVLKNf3/7TZ8dQEAADZ9Uzmj9kCS19Ra905yUJI/KqXsneTUJF+utT45yZf79wAAAKynSYNarfXmWus3+9d3J1mZ5HFJXpDkrH6ws5K8cENVEgAAYDaZuzYDl1J2T/LUJN9IslOt9ea+1w+T7DTOOCcmOTFJ3v3ud+fEE09c17oyjgVnLZixsq447ooZK2um7H7q52asrFWnPW/GygIA2Bis3Gv+jJU1/6qVM1bW+ppyUCulbJ3k40n+pNZ6VyllTb9aay2l1LHGq7UuS7Js5O161BUAAGBWmNJTH0spm6cLaWfXWj/Rd76llLJz33/nJLdumCoCAADMLlN56mNJ8i9JVtZa3zLQ6zNJjutfH5fk09NfPQAAgNlnKpc+Hpzk2CRXlFJW9N3ekOS0JOeUUl6W5L+T/PaGqSIAAMDsMmlQq7VelKSM0/uw6a0OAAAAU7pHDQAAgJkjqAEAADRGUAMAAGiMoAYAANAYQQ0AAKAxghoAAEBjBDUAAIDGCGoAAACNEdQAAAAaM3fYFQBg07Jyr/kzUs78q1bOSDkAMAzOqAEAADRGUAMAAGiMoAYAANAYQQ0AAKAxghoAAEBjBDUAAIDGCGoAAACNEdQAAAAaI6gBAAA0RlADAABojKAGAADQGEENAACgMYIaAABAY+YOuwIzbfdTPzdjZa067XkzVhawEVq67QyWdefMlQUArDdn1AAAABojqAEAADRGUAMAAGiMoAYAANAYQQ0AAKAxghoAAEBjBDUAAIDGCGoAAACNEdQAAAAaI6gBAAA0RlADAABojKAGAADQGEENAACgMXOHXQE2Liv3mj8j5cy/auWMlDPjlm47Q+XcOTPlAACwQTijBgAA0BhBDQAAoDGCGgAAQGMENQAAgMYIagAAAI0R1AAAABojqAEAADRGUAMAAGiMoAYAANAYQQ0AAKAxghoAAEBjBDUAAIDGCGoAAACNmTvsCmzSlm47M+Xs8fiZKQcAAJgRzqgBAAA0RlADAABojKAGAADQGEENAACgMYIaAABAYwQ1AACAxghqAAAAjRHUAAAAGiOoAQAANEZQAwAAaMykQa2U8r5Syq2llO8MdFtaSrmxlLKi/3vuhq0mAADA7DGVM2pnJjlijO5vrbUu6v8+P73VAgAAmL0mDWq11guT/GgG6gIAAEDW7x61k0sp3+4vjdxuvIFKKSeWUpaXUpYvW7ZsPYoDAACYHeau43jvTPI3SWr///QkLx1rwFrrsiQjCa2uY3kAAACzxjqdUau13lJrXV1rfTDJe5IcOL3VAgAAmL3WKaiVUnYeePuiJN8Zb1gAAADWzqSXPpZSPpJkSZLHlFJuSPJXSZaUUhalu5RxVZJXbMA6AgAAzCqTBrVa61FjdP6XDVAXAAAAsn5PfQQAAGADENQAAAAaI6gBAAA0RlADAABojKAGAADQGEENAACgMYIaAABAYwQ1AACAxkz6g9fAxmfBWQtmrKwrjrtixsoCAJgtnFEDAABojKAGAADQGEENAACgMYIaAABAYwQ1AACAxghqAAAAjRHUAAAAGiOoAQAANEZQAwAAaIygBgAA0BhBDQAAoDGCGgAAQGMENQAAgMbMHXYFgI3byr3mz0g5869aOSPlJMnup35uRspZNW9GigEANkLOqAEAADRGUAMAAGiMoAYAANAYQQ0AAKAxghoAAEBjBDUAAIDGCGoAAACNEdQAAAAaI6gBAAA0RlADAABojKAGAADQGEENAACgMYIaAABAYwQ1AACAxghqAAAAjRHUAAAAGiOoAQAANEZQAwAAaIygBgAA0BhBDQAAoDGCGgAAQGMENQAAgMYIagAAAI0R1AAAABojqAEAADRGUAMAAGiMoAYAANAYQQ0AAKAxghoAAEBjBDUAAIDGCGoAAACNEdQAAAAaI6gBAAA0RlADAABojKAGAADQGEENAACgMYIaAABAYwQ1AACAxkwa1Eop7yul3FpK+c5At0eXUr5YSrmm/7/dhq0mAADA7DGVM2pnJjliVLdTk3y51vrkJF/u3wMAADANJg1qtdYLk/xoVOcXJDmrf31WkhdOc70AAABmrXW9R22nWuvN/esfJtlpmuoDAAAw6633w0RqrTVJHa9/KeXEUsryUsryZcuWrW9xAAAAm7y56zjeLaWUnWutN5dSdk5y63gD1lqXJRlJaOMGOgAAADrrekbtM0mO618fl+TT01MdAAAApvJ4/o8kuSTJU0opN5RSXpbktCS/WUq5Jslv9O8BAACYBpNe+lhrPWqcXodNc10AAADINDxMBAAAgOklqAEAADRGUAMAAGiMoAYAANAYQQ0AAKAxghoAAEBjBDUAAIDGCGoAAACNEdQAAAAaM3fYFQBgw1tw1oIZK+ucGSsJADZdzqgBAAA0RlADAABojKAGAADQGEENAACgMYIaAABAYwQ1AACAxghqAAAAjRHUAAAAGiOoAQAANEZQAwAAaIygBgAA0BhBDQAAoDGCGgAAQGPmDrsCAMCma+Ve82esrPlXrZyxsgA2NGfUAAAAGiOoAQAANEZQAwAAaIygBgAA0BhBDQAAoDGCGgAAQGMENQAAgMYIagAAAI0R1AAAABojqAEAADRGUAMAAGiMoAYAANAYQQ0AAKAxghoAAEBjBDUAAIDGCGoAAACNEdQAAAAaI6gBAAA0RlADAABojKAGAADQGEENAACgMYIaAABAYwQ1AACAxghqAAAAjRHUAAAAGiOoAQAANEZQAwAAaIygBgAA0BhBDQAAoDGCGgAAQGMENQAAgMYIagAAAI0R1AAAABojqAEAADRGUAMAAGiMoAYAANAYQQ0AAKAxghoAAEBj5q7PyKWUVUnuTrI6yQO11qdNR6UAAABms/UKar1fr7XePg3TAQAAIC59BAAAaM76BrWa5AullP8spZw41gCllBNLKctLKcuXLVu2nsUBAABs+tb30sdn1lpvLKXsmOSLpZSraq0XDg5Qa12WZCSh1fUsDwAAYJO3XmfUaq039v9vTfLJJAdOR6UAAABms3UOaqWUR5ZSthl5neTwJN+ZrooBAADMVutz6eNOST5ZShmZzodrrf8+LbUCAACYxdY5qNVar0uycBrrAgAAQDyeHwAAoDmCGgAAQGMENQAAgMYIagAAAI0R1AAAABojqAEAADRGUAMAAGiMoAYAANCYdf7BawBgmi3ddgbLunPmytoE7X7q52aknFXzjp6RcpLMWJtYudf8GSknSeZftXLGyoLp5owaAABAYwQ1AACAxghqAAAAjRHUAAAAGiOoAQAANEZQAwAAaIygBgAA0BhBDQAAoDGCGgAAQGMENQAAgMYIagAAAI0R1AAAABojqAEAADRm7rArAACt2/3Uz81IOavmzUgxMKYFZy2YkXLOmZFSYOPnjBoAAEBjBDUAAIDGCGoAAACNEdQAAAAaI6gBAAA0RlADAABojKAGAADQGEENAACgMYIaAABAYwQ1AACAxghqAAAAjRHUAAAAGiOoAQAANEZQAwAAaMzcYVcAAJh5C85aMCPlnDMjpQBsepxRAwAAaIygBgAA0BhBDQAAoDGCGgAAQGMENQAAgMYIagAAAI0R1AAAABojqAEAADRGUAMAAGiMoAYAANAYQQ0AAKAxghoAAEBjBDUAAIDGCGoAAACNEdQAAAAaI6gBAAA0RlADAABojKAGAADQGEENAACgMYIaAABAYwQ1AACAxghqAAAAjRHUAAAAGrNeQa2UckQp5b9KKd8rpZw6XZUCAACYzdY5qJVS5iT55yS/lWTvJEeVUvaerooBAADMVutzRu3AJN+rtV5Xa/1Fko8mecH0VAsAAGD2Wp+g9rgk1w+8v6HvBgAAwHootdZ1G7GUlyQ5otZ6Qv/+2CRPr7WePGq4E5Oc2L9dVmtdth71ZQyllBMtVwZpE4ymTTCaNsFo2gSjaRPDtT5n1G5MstvA+137bg9Ra11Wa31a/+eD3jBOnHwQZhltgtG0CUbTJhhNm2A0bWKI1ieoXZbkyaWUPUopj0jyu0k+Mz3VAgAAmL3mruuItdYHSiknJ/mPJHOSvK/W+t1pqxkAAMAstc5BLUlqrZ9P8vlpqgvrziWljKZNMJo2wWjaBKNpE4ymTQzROj9MBAAAgA1jfe5RAwAAYAMQ1AAAABojqMEmopTymFLK00spWwy7LrRBmwCAjZegthEopTx6qn/Driszr5SyTSnlnCS3Jrk4yeP67u8qpSwdZt0YDm0CmKpSytNKKb9TSnlk//6RpZT1etgcG6dSyhdKKduO0X2bUsoXhlGn2c6KuHG4PclkT30p/TBzNnx1aMw/pDsQ3z/JRQPdP5vk75IsHUKdGC5tgpRSrsjk+44kSa11vw1cHRpTStkpyaeTHJiunTw5yXVJ3pLkviSnDK92DMlvJBnrCowtk/z6DNeFCGobCysHE/mfSV5Ua11RShk8KFuZZM8h1Ynh0iZIknOHXQGa9tYktyTZPskPBrr/a5J3DKVGDEUpZfCLmr1LKY8deD8nyRFJbprZWpEIahuFWutXhl0HmrZdkjvG6L5NktUzXBfaoE2QWusbh10HmnZYksNqrT8upQx2vzbJ44dTJYZkRbqzqjXJeWP0/3mSV81ojUgiqG3U+m88HjHYrdb6g3EGZ9N1WbozKP/Uvx85g/KKdPcnMftoE8BktkzyizG675Du0kdmjyenu4Xm6iS/lu6WmxG/SPLDWuv9w6jYbCeobWT6mzzfnuS3Myqk9dyjNvu8Icl/lFL2SbdOv7p/fWCSZw21ZgyLNoF71JjMhUmOT7e9SJJaSpmT5PVJvjysSjHzaq3XJkkpZfNaq6suGiKobXzenGRhkhcm+USSl6Z7aMApSV4zxHoxJLXWi0spz0jy2nSXrByW5JtJfq3WesVQK8dQaBP03KPGRP4syVdKKYvTPUDi9CT7JNk2ycHDrBjDUWtdXUrZJckzk+yYUU+Hr7W+fSgVm8VKrVP6so1GlFJuSHJUrfWrpZS7kuxfa/1eKeWoJC+ttf7mkKsIAGwE+lso/jDJAekOyr+Z5J9rrTcPtWIMRSnld5Oc2b8d/cTxWmt17+IME9Q2MqWUe5LsXWv9QSnl+iQvqbV+o5Sye5Lv1lofOdQKMuNKKf8ryS9qrZ8e1f0FSTavtfpWfZbRJpiKUsqWSX4nyQm11mcOuz7AcJVSvpfuaq2/cE9aG1z6uPG5Nt3jtX+Q7lHbv1tKuTTJi5P8aJgVY2iWJnn1GN1/mu5hEg7KZ5+l0SYYR3+p2wnpQlpN8pnh1oiZUkrZf6rD1lq/uSHrQpMem+RdQlo7BLWNz5lJ9ktyQZLT0v2A7cnpLlnw45Sz055J/muM7t+L38yarbQJHqKUsl2SY5O8LMmTksxL9xTQsxyUzSrL04XzMslwNR5ONhv9e5LF6X74nAYIahuZWutbB16fV0rZK8nTklzjIQGz1o/TPVp31ajuv5rk7hmvDS3QJkiSlFIOS/LydD/X8I10Z1Q/nu539i4W0madPYZdAZr2b0n+sZQyP8kVSR6yfai1Ovs+w9yjBhu5Uso7kxyS5MW11qv7bk9JdzD2tVrrK4ZZP2aeNsGIUsoDSd6S5IzB39kspdyfZGGt9cqhVQ5oSinlwQl611qrs6wzTFDbCJRSXp3k/9Za7+tfj6vW+pYZqhaNKKX8SrpvwZ6eZORJXTsnuTTJEbXWu4ZVN4ZDm2BEKeUzSZ6drj18MMnn+kdwC2qklLJzuqc+7t13WpnknbXWm4ZXK4al/x29cfmNtZknqG0ESinfT/K0Wusd/evx1Fqr+09mqVLKbyZZ1L/9VpIvVyv4rKZNkKx5BPvx6X53c7sk5yQ5Mcl+tdaVQ6waQ9RvHz6d5Pp0l8UmyYFJHp/khbXWLwyrbkBHUAOAWaKUsiTdA0WOTHJruieA/mut9RsTjcemp5SyMskXk5wy+AVOKeVtSQ6vtc4fWuUYmlLKtkmeky6wP2KwX631TUOp1CwmqG1kSim/n+Rjtdafj+r+iCS/W2v9wHBqxjCVUp6e5LAkO6Z7AugatdZXDaVSDJU2wUT6g7HfS3eWbZF7T/5fe3cebWdV33/8/SEBwmAEYoUgM8ikzJpCIyKDiFIBpUIBUUAt8sOijYq0oCAqFEEZtOCAIshQLEORQhEVZLCCA0FGQRNAMGCYZ0iAz++P/Vw5Odx7E/r7cfY59/m81sq65+zn3LU+a2Xn5NnP3vu720fS05Tlr7d3ta8JXG978TrJopbm6I7/Bl4AlqEsnV8OeAa42/a6o/x6vAIyUBswkp4HJtue3dU+CZid/2zbR9KngC9TSq/PopRVHmLbW1UJFtWkT8TLIWkj29Nr54jeknQVcJztc7vadwam2Z5aJ1nUIulK4AbgH4HHgA2Ap4GzKOer/XvFeK2UgdqAaSryLGv7/q72jSj7T5apkyxqkXQ3cJTtr9fOEv0hfSIihtN14PVawFHAicA1TdumlOIiB9k+q8fxojJJjwJTbN8m6RFgM9u3SpoCnG57zcoRWyfnqA0ISTdSnoobuKIpuTxkHLAycHGNbFHdRPJ3H/NKn4iI4Qx34PVw+45Op8yiRLvM4cUVGH+m7FO7lTK7tkKtUG2WgdrgOKf5+UbgIuCJjmtzKAfbnku00VnAdpSnohGQPhERw8uB1zGa6cCbgNuBK4DDJb0G2JOyJDJ6LEsfB4ykD1KKiTxTO0v0B0kHA58ALqV8kc7tvJ6z9donfSIiIl6uZonjq2z/VNJrgTOAqZSB2162r68asIUyUBtgkpbipdXcHqoUJyrJ2XrRLX0iukn6LqUM++Nd7UsAX7O9T51kUZOk8bx4dlp3KfZUkY6oLAO1ASNpZeAbwNuY90tVlBuwVH2MiIh5jFIx+DXAfbazFaJlJK0NXEhZDingecqWmLnAs7YnVowXFUi6FHif7Ue72l8FnGt72zrJ2itfzIPnFGApyoGl3WW3IyIi/kLSMpSbcAFLD1OIantK0YBon+OA3wAbAvc1P18NnAQcUjFX1LMNsOgw7YsBW/Y4S5CB2iCaAmxq+6baQaJ/NAeU/h3DL1/JkqYWSp+IxgO8WDH4lmGuGzi0p4miX7wZ2ML2k83RP+NtXyfpQOBrwPp140WvSOr8u15X0nId78dRilPN6m2qgAzUBtEdDP+0I1pK0vaUip/TgU2AXwGrU/rJVRWjRSXpE9FhS8ps2mXAzkDnPuY5wF22cwPWTgKeal7fD7wOuA24B1ijVqio4npefKBz2TDXnwUO6GmiADJQG0QfB46U9H9s/6F2mOgLhwOft32kpMcpZXRnAd8HflE1WdSSPhEA2L4CQNKqwB89zMZ0SWvk/5NWugnYAJgJ/BL4TLOX8SNA+kO7vJ4ycL8d2IwyEz9kDmUf69zhfjFeWSkmMmCam65FKVPRzwKd+w3I5t/2kfQEsL7tmZIeAt5q+yZJ6wEX2V6pcsTosfSJmB9JEyhLYz8CvCWFqNpH0juAJWyfJ2k1yhmta1Fu0nex/bOa+aK3JC0MnAp81vaM2nmiyIza4PlY7QDRdx4HJjSv76UsWbmJ8u976Vqhoqr0iRiWpI0pxah2ozzsOx84rGamqMP2jzpezwTWaYrPPDzczGuMbbbnSnoXKSTTVzJQGzC2T62dIfrOtcBbKIUCLgK+ImkD4D1kmVtbpU/EX0h6NbAH8GHKEqcLgFdRZtKGKzASLdAUjBhv+56hNtsPSVpB0lzbqQbaPucDOwFfrR0kigzUBpCkZSl7TlanTFE/IGkqMMv2aAfdxtg0DViyeX0Y5QZsZ8pa82mVMkVd6RMBgKTvU268rgWOB85pqvztWjdZ9IHTgbOBb3e1vwPYFciZWe0zA/ispL+hHN3wZOdF2ydUSdVi2aM2YCRtAvyUUv3xDcDazT6Uw4A1be9eM19ERPSP5ty0o4BjbD/c0T4X2CAzau0l6RHgr23f1tW+JnCN7WXqJItaJN09ymVnf3PvLVQ7QLxsxwDH296Isr9gyI+AqXUiRU2SZkqaNEz7UpJm1sgUdaVPRIddKAcZ3yPpfEnvaYoGRIxn+ON+JozQHmOc7RVH+ZNBWgUZqA2eTShVebrdCyzb4yzRH1ahVAHttijlXJxon1VInwjA9nm2t6dU87uO8rDvPsr//xtJUs18UdW1wH7DtO9POXsxWkzShKY6bFSUPWqD52mGr9q2NjC7x1miIknv7Xi7vaRHO96PA7YG7uxpqKgqfSJG0hSM+ALwBUnbUAqLnEwpNHO+7eFu2GNsOxi4TNL6vHjI8VbARsA21VJFVZL2BT4DrAxY0l3AUba/VTdZO2WP2oCR9C1gOeB9lLNO1qecJH8BcJntf6oYL3pI0gujXJ5LuSH/pO3/6k2iqC19Il4OSUsDHwD2sb1B7TzRe0012E9TBmcA04Gjbf+2XqqoRdJngM8CxwJXN82bA58ADrf95VrZ2ioDtQEjaSJwMWWAtgRlCcuywM+Bd9l+cpRfjzFI0h3Am2w/WDtL9If0iYiIeLma2bN/sX1GV/uewBdsr1IlWItl6eOAsf0Y8BZJWwEbU/YZXGf7J3WTRQ1NUYDZwGuA3JRH+kREjEjSMrYfGno92meHPhetsixl72K3ayiruaLHMlAbULYvo1lTngpe7WV7rqRVKctfI9InImI090uabHs2ZfvEcN8TatqHK0gUY9vvKWfofamrfVfKOZzRYxmoDRhJBwB/sn1u8/47wAclzQB26D4PJVrhVOAjlH0GEZA+ERHD2woYminbsmaQ6EufB86WtDllSw2Uo5+2oRz1ET2WPWoDRtIfKBu/r5T0VuAi4EPAzsAStv+2asDoOUknAntQDkH/DTDPPkXbB9TIFfWkT0RExP+GpCnANGCdpulW4Cu2c2RDBRmoDRhJTwNr2r5b0tHAJNv7SFoHuMr2aypHjB6TdPkol217q56Fib6QPhHdJD0PDC1562yfBMy2nWVuLTC/fWmdskctor4sfRw8jwGvBe4G3g4c3bTPBXIwYQvZzvKVmEf6RAxjpIOtFwXm9DJIVDXSvrRO2aPWYpIWpexJW7dpugU42/az9VK1VwZqg+dS4NuSrgPWAP67aX8DZZlTtJSkCZQ+YWCG7WcqR4rK0idC0rTmpYGPSnqi4/I4yhlJv+t5sKglD3FiRJI2BC4EJgI3N837AUdI+m1MITkAABoYSURBVFvb11cL11JZ+jhgmnPUvgSsBJxk+5Km/fPAs7aPqJkveq+p+nkE8DFgEcrT0GeBrwEH255bMV5UkD4RQ5oz9QBWBu4Bnu+4PIdyCPrnbA9XkjsiWkTSLykrtvay/XjT9irgFGAl21Nq5mujDNQiBpykrwK7AQcBVzfNmwNHAmfY/lStbFFH+kR0a/Ytvtf2w7WzRP9oZt13Z95lbmfZfrpeqqilqYOwie1butrfAPza9mJ1krVXBmoDRtK6wPNDZfglvR34IGWK+su2nx/t92PskXQfpRLoxV3t2wMn255cJ1nUkj4REfMjaWPKMrfFgRub5jdSZt+3t31drWxRh6TrgWnNWb2d7VsDx9pev06y9soetcHzXeA44DZJKwIXAD8D9qesKf7netGiklcDM4ZpnwEs1eMs0R/SJ+IlJO0KbE0pSLVQ5zXbO1QJFTV9i3JW1t62nwSQtATlPuNbwJsqZos6/gU4QdJhwDVN26bA54CDmu03ANh+rPfx2iczagNG0iPAFNu3S/onyiHXW0raEjjF9ip1E0avSboG+I3t/bvaTwI2tL1ZnWRRS/pEdGuOc/kEcDkwi67Kf7b3rpEr6skyt+gm6YWOt0PfEep6X97kSI+eyIza4BnHi6WUtwaGljbNAJatkihqOxC4WNI2zPsEbHngndVSRU3pE9HtA8Buts+pHST6xu8o3wm3dLVPBm7vfZzoA2+vHSDmlRm1ASPpF8CVwH9RSvVPsX2jpM2AH9hesWrAqELS8pTlr2s3TbcCJ9qeVS9V1JQ+EZ0k3Q9sZvsPtbNEf2j2rB4NHM68D3QOoRQi+p+hz+bw64g6MlAbMJLeCvwnZQ/Kqbb3adqPBNa0vXPNfBER0X8kfQmYa/uw2lmiPyzgMjcBzjK39miOd1mH4feyXlolVItl6eOAsX2lpL8CJnaVWf4m8FSlWFGZpMmUQyk7Syx/I7Mn7ZU+EV2WAnZvKgXfAMxzlp7tA6qkippy+HXMQ9JWwPcpy1+7mbL9JnooM2oDQtIitueMcn0hYBXbM3sYK/pAc+N1AeWQyqFDa6dQDkXfKU/A2id9Iro156iNxLa36lmYiOhLkn4H/AL4IvBnXlpA5MkaudosA7UBIel5YLLt2c37q4Fdbf+peb8sMCvLE9pH0q3Aj4GPu+MftKTjgW1tr1MtXFSRPhERC2KYmfdbgZMy895Okh6nVAYe7niXqGCh+X8k+oS63m8ALDqfz0Q7rAJ83S996vJvwMq9jxN9YBXSJyJiFM3M+wxgV8rWiaeA9wF/kLRtzWxRzcXAX9cOES/KHrWxJdOj7fRrYD1eWk55PWB67+NEH0ifiJdoztvcjbIEdpHOa1n62EonACcz/Mz78ZSCEtEu+wKnS9oIuImX7mU9s0qqFstALWLwnQgcK+n1zFtieT/gIEkbD33Q9nUV8kXvpU/EPCTtBXwDOB94G2UP45rAqsDp1YJFTasw8sz7R3ofJ/rA1sBWwLsoZ/Z29g0DGaj1WPaoDYhmj9pytu9v3j8GbGD7juZ99qi1VFeJ5dGkxHJLpE9EN0k3AcfZPrnZh7KB7ZmSvg48YfugyhGjxyRdRekT53a17wxMsz21TrKoRdJdwLnA520/WjtPZKA2MJobryd58enGkl3vBSyem672kbTAe45s3/VKZon+kD4R3SQ9Baxr+05JDwBb2b5B0trAz2wvVzli9Jik3YCjKDPwL5l5B24b+mxm3tshxUT6T5Y+Do69aweI/pQb7eiWPhHDeBB4VfP6T8AbKeepTQIWqxUqqjqj+XnEKNcg52e1yXmUpY8ZqPWJDNQGhO1Ta2eI/tUsfZ0KvJauaq62T6wSKqpKn4guVwHbAjcCPwBOaKr+bU05yiHaZ9XaAaLv3A4cIWkq5buiu5jICVVStViWPkYMOEnvp1TuEvAwXZt/bS9fJVhUkz4R3SQtA0ywPUvSQsCnKQP524Ev2n6kasCIqE7S3aNctu2VehYmgAzUIgZes/n3VOBw28/VzhP1pU9ExIKQNB6YwvBHNpxWJVRE/EUGahEDTtLDwCa2Z9bOEv0hfSK6NZWDJ9ue3dU+CZidQlTt0xSSuZCyBFLA85QtMXOBZ21PrBgvIsgetYix4Axge+BrtYNE30ifiG4aoX1RynlJ0T7HAb8BNgTua36+GjgJOKRirugxSQcsyOeyR633MqM2YCRtaPv62jmif0haBPhPys3WcJt/D6+RK+pJn4ghkqY1L48GPg880XF5HLA5sKLtjXqdLeqS9CCwhe2bJD0KTLF9m6QtgK/ZXr9yxOiR+exNG5I9ahVkRm3wXCdpOqVQwJk5kDCAfYHtgAeANegqHAHkprx90idiyD82PwV8mLK8bcgc4E7goz3OFP1BwFPN6/uB11HOTruH8r0RLWF7xdoZYniZURswkl4P7APsCSwNnA98x/blVYNFNZJmA0faPrZ2lugP6RPRTdLlwHtS3TGGSLoSONb2+ZLOpJypdwTwEWD9zKhF1LfQ/D8S/cT2723/M6VC0y7ABOASSTMkHSxphboJo4JxwA9rh4i+kj4RfyFpYWAdyoxJxJAv8eLexUMo9xWXU87bW6A9SxHxysqM2oCTNAHYDziSUlr3OcrJ8p+0/aea2aI3JB0DPJZ9RzEkfSK6NXtQ3mH7ltpZon815+097NwcRvSFDNQGlKQplCWQuwKPAacA3wUmU/afLGP7zfUSRq9IOhHYHbgZuIGXFo7Ik9GWSZ+IbpIOBNYD9s7ZehERgyEDtQHTVPDaG1gTuIhSVOQS2y90fGYF4E7bKRbTAs3ek5HY9lY9CxN9IX0iukm6ENgCeBq4CXiy87rtHWrkioiIkWWgNmAk/R74DnCK7T+P8JlFgN1sn9rTcBER0ZcknTLaddt79ypLRPQnSedQJgB+lOWv/SEDtYiIiIiIlpN0NrAD5WiXUyiTAnfUTdVuGagNAEkbL+hnbV/3SmaJ/iHphAX5XPYjtUf6RMyPpNWAdSnn6d1qe2blSFGJpJWAu7tnTiSJcgj6H+ski5okLQ28n7LNZn3gSsos27m2n62ZrY0yUBsAkl6g/Keq+XzUtsf1IFL0gfnsQxqS/Ugtkj4RI5E0kbJsfmdgaE+zgHOBD9l+vFa2qEPS88Bk27O72icBs3M/EZI2pBSu+whlf+uZwAm2b68arEVSbGIwrFo7QPQf21vWzhD9JX0iRnE85en4lsD/NG1TgW8AxwEfqpQr6hHlIXC3JYFnepwl+oykZSln6m0LPA9cSClkd7OkA20fWzNfW2RGLSIiYoyT9CCwk+2rutrfCpxve1KdZNFrHUuk96fsQ3qq4/I4YAowx/bUXmeLuiSNA95NmUXbjlIh9tvAGbYfaz7zHuC7tpeuFrRFMqM2gCStB+wLrA7sY/teSTsBd9meXjddRET0ocWAB4dpfwiY0OMsUdd6zU8B6wBzOq7NAa4Djul1qOgLs4BFgbOATUeoe/Az4IlehmqzzKgNGEnbAj8E/ht4F7CO7ZmSPglsbnunqgEjIqLvSPox8Biwp+2nmrYlgNOAibbfXjNf9F5zZMPHh2ZKIiTtB5w69B0R9WWgNmAkXUv5R3SipMeBDZqB2ibAhbaXrxwxIiL6jKQ3Aj8CFgduaJrXoyx7e4ftm2tli7okTQDWoOxXm2E7+9NaSNJ4SsGQDfN90D8Wqh0gXrY3AhcP0/4QsEyPs0RExACwfRPweuBA4NfNnwOB1+emrJ0kjZd0NPAw8FvgRuBhSV+WtHDddNFrtp8D/ki2RfWV/GUMnoeA1wF3drVvDNzT8zTRF5rqTHtS9i1+1vYDkqYCs3JYZTulT0S3ZjnTt2vniL7xZWA34KPA1U3b5sCRlAf5n6qUK+r5EnCkpPfbfqh2mMjSx4Ej6SjKF+kuwC3Am4DJwPcoJ8gfXi9d1NAse/0pcAfwBmDtZjnsYcCatnevmS96L30ihiNpY+ATlAOvAW4Fjh2hYECMcZLuoxQku7irfXvgZNuT6ySLWiRNpyyDXRi4C3iy87rtjWvkarPMqA2eQyiDsrsoFZtuaX6eSXkSEu1zDHC87UObfYtDfgTsXSlT1JU+EfOQtAelcMhlvLh8flPgl5L2sn16tXBRy6uBGcO0zwCW6nGW6A//VTtAzCszagNK0mqU5Y4LAdNt/75ypKhE0mOUzb8zuwrMrAL8znZKb7dM+kR0k3Qn8C3bR3S1/zOwr+1VauSKeiRdA/zG9v5d7SdRvj82q5MsIoZkRm3ASPoccIztmcDMjvbFgE9n6WMrPQ0Md/Dk2sDsHmeJ/pA+Ed3+CvjBMO3/AXy2x1miPxwIXCxpG+Capm1TYHngndVSRVWSFqX8/a9OWQL7aPOQ7xHbj9TM1kap+jh4DgWWHKZ98eZatM8FwKHNlyuAmy/Vo4Bza4WKqtInotvlwNuGaX8bcEVPk0RfsH0lsCZwDuW+YknKwH0t21eP9rsxNjWrtW4BTqH8fzGpuXQApfhM9FiWPg4YSS8Ay9q+v6t9G+As239VJ1nUImkiZc/J+sASwH3AssDPgXfZfnKUX48xKH0iuknaHziMMlDvnD15b9N+39BnbZ/X43gR0QckXUhZdbEv5diGoWXzWwDfsb1G1YAtlIHagGj2mZhy0/VU83rIOGAC8I3utebRHpK24sV9i9fZ/knlSFFZ+kQMaR7yLQjbHveKhomqJC3Qmaspz94+kh4ENrN9+zD7m2+1vVjVgC2UPWqD42OU6o7fBQ4GHu24Nge40/YvagSL/mD7MkpFtwggfSJeZDtbHWLIA8z7sHc4JveIbSRKaf5uKzDvfWf0SGbUBkwz/fw/tufWzhL9oSkwMxwDzwB/AC6x/XTvUkWvSZq2oJ+1/dVXMktE9K/mPmIk2wEfB56zPbFHkaJPSDobeNT2PzQzausD91P2Pf/Rdo536bEM1AbM/JYsZKlC+0i6EViJsix2VtO8POWgyvuBFSlrzrdoqoXGGCTpjgX8qG2v9oqGib4kaSNgS+C1dBUTs31glVDRF5q+cTSwOfBN4Avde+Fj7JO0AvAzykqt1wO/bn4+BGxu+8/10rVTBmoDptlnMOJfWvYWtI+kvYD3A3vZvqdpW4GyTPZ04CJKWe7Hbe9UK2dE1CPpQOBfgbuAPzPv/yO2/TdVgkVVklYFvgS8DzgP+Bfbwx2CHS0haQlgDzr2NwPfTxGqOjJQGzDDLFlYGNgI2A84xPaZvU8VNTUzKTvavqGrfUPgP22vImlT4ALby1YJGT0l6QPA2baf7WpfBPh726fVSRa1SLoXOMz2N2tnifokTQI+B3yUUg32M7Z/VTdV1CJpmxSb6k8ZqI0RknYGPmw7h1S2jKSngLfZ/mVX+18Dl9tevHlqeoPtV1UJGT0l6Xlgsu3ZXe2TgNmZeW8fSX8Gptr+Q+0sUZekg4FPA3cCB9m+pG6iqK1ZrXUn8B3ge7b/VDdRDMlAbYyQtDrlRnyJ2lmityT9kLIP7R+A3zTNm1D2Gdxte0dJOwBftL1+pZjRQ6Oct7gR8FPbC1SeO8YOSYcBC9s+uHaWqKv5fniacgj6iMc22N6hZ6GiKknrAB+ibKOYBFwKnAz80PbzNbO1XQZqY4CkJYEjgbfbXrt2nugtSa8FTgO2BYa+UBeifNF+0PZsSVtSbtIurRQzeqApLGPgDcBtwHMdl8cBKwMX296lQryoSJIoh6AvB9wEzFM52PY+NXJF70n6HvMvz08q/LWPpPHADsA+wDuAB4FTge/avq1mtrbKQG3AdBx8/ZcmYHFKhb89bF9YJVhUJ2ktYK3m7e9s314zT/SepEObl4cCXwGe6Lg8h7K05Vzbc3ocLSqTdATwGUphgO5iIth+d41cEdGfJC0P7AXsDawG/Nz2W6uGaqEM1AZMU+Gv8y/tBUoJ9mttP1wlVET0FUkfBP69u5hItJekR4B9bZ9dO0tEDAZJSwF7AocBS2V/c+9loBYxBkhaE/g7ynlqi3Rey5Km9pE0E3iz7Qe72pcCrss5au3TVH3cIjPtETE/krahLH/cCXgGOAs42fb0qsFaaHztADF/8zvkulMOvG4fSdsD5wLTKUVEfgWsDiwKXFUxWtSzCmVPWrdFgdf1Nkr0iWOBT0ja33lCGxFdJK1EWea4F2U/8xWUImXn2H6mYrRWy0BtMDzA/Df+qvlMpqXb53Dg87aPbPYw7gnMAr4P/KJqsugpSe/teLu9pEc73o8DtqbsU4v22Rx4K6Vf3MJLi4mkwl9ES0n6CfA2YDaleMh3cpRHf8hAbTBsWTtA9LW1gKF9J3OBxW0/I+lw4CLgq9WSRa+d0/w05TycTnMpg7RP9jJQ9I0HgPNqh4iIvvQk8F7gopTj7y8ZqA0A21fUzhB97XFgQvP6XmANSvnt8cDStUJF79leCEDSHZQ9ag9UjhR9IqXWI2IktnesnSGGl4HaAJK0KLAHsC7lyfnNwFmp8NZa1wJvAW6hzKB9RdIGwHvI0sdWsr1q7QwRERHx/yZVHweMpHWBS4CJwI1N83rAo8B2tm+tlS3qkLQasKTtGyQtTjk/aypwOzDN9h+rBoyekDQNOLFZ9jpttM/aznLYlpD0wwX5XPaoRUT0nwzUBoykHwNPAXvafqxpmwicDixq+x0180VvSRoPbEs5R+/B+X0+xq5mueObbD/YvB6JU56/PSSdsiCfy9LIiIj+k4HagJH0FGXvyc1d7esB19heok6yqEXSM8Datu+snSUiIiIi/v9YqHaAeNmeAZYapv3VzbVon99SCohEjErSypJ+UDtHREREzF8GaoPnQuDbkqZKGtf8eQvwTWCB9iLEmHMYpYDITpJWlLRM55/a4aKvLAXsXDtEREREzF+WPg4YSUtRDiN8NzB01sVClEHaXrYfHel3Y2yS9ELH285/0KLsR8oh6AFAUw30uvSJiIiI/pfy/APG9iPAjpLWANZpmm/NCfKtlgPRIyIiIsaYzKiNAc2g7R7b2aMWESPKjFp7SVoJuNtd/+lLErBijvGIiOg/mVEbMJKOAG6zfWrzH+ylwNbAo5K2s31t3YRRQ1P1c19gdWAf2/dK2gm4y/b0uumiVxbgzKyJPQkS/egOYDIwu6t9meZaBu8REX0mxUQGzx7Abc3rdwIbApsCpwH/WitU1CNpW+BXwOuArYDFmkurA4fWyhVVPDifP3dQviuifcS8e1iHLEkqBkdE9KXMqA2eZYF7mtfvAn5g+5eSHgJ+XS9WVPQFYJrtEyU93tH+M+CTdSJFDTm0OLpJOqF5aeDI5izOIeOAKcD1PQ8WERHzlYHa4HkQWJkyWNsWOKhpH095Yhrt80bg4mHaH6Isa4qI9lqv+SlKAao5HdfmANcBx/Q6VEREzF8GaoPnXOBMSbdTbsJ/1LRvCKTyYzs9RFn2eGdX+8a8OPsaES1ke0sASacAH7f9WOVIERGxgDJQGzzTgLuAlYADbT/ZtE8GTqqWKmo6Ezha0i6U5U3jJW1BeUp+StVkEdEXhpbFSpoArEH5rpiRasEREf0r5fkjBpykhYHvAX9PWd70QvPzTMoh6M+P/NsR0QaSxgNHAh8DFqF8RzwLfA042PbcivEiImIYGagNIEmTgf2AdZumW4ETbd9bL1XUJml1YCNKNdfptn9fOVJE9AlJXwV2o+xrvrpp3pwyeDvD9qdqZYuIiOFloDZgJL0duAC4Gxg6M20KZSnkTrYvrZUt6mjOS7soT8QjYiSS7qOcsXhxV/v2wMm2J9dJFhERI8lAbcBIuhX4MWVTuDvajwe2tb1OtXBRRVNu+2ngP4Dv2/555UgR0WckPQ1saPu2rva1KTPwiw3/mxERUUsOvB48qwBf90tH2P9GKdsf7bMs8CnKAddXSJop6YvNDVhEBMBvgQOGaf84OUctIqIvZUZtwEi6CjjO9rld7TtTDj2eWidZ9ANJy1OKiuxO2a92ne03100VEbVJeivlvMU/Adc0zZsCywPvtH31SL8bERF1ZKA2ACRt3PF2LeAo4ETm/c92P+Ag22f1OF70GUmLAO8GDgHWtz2ucqSI6APNg5z9gaHZ9qFCVLPqpYqIiJFkoDYAJL1AOfNG8/moc1PeXpK2BPYAdm6azgNOt315vVQRERER8b+RA68Hw6q1A0T/knQ0Zbnja4FLgH8Afmj72arBIqI6ScssyOdsP/RKZ4mIiJcnM2pjiKRtbP+kdo7oLUk/B04Hzs7NVkR06liRMRrbzoPbiIg+k4HagJP0OmBvYB9g5Sx9jE4ZvEe0m6QtRrm8HaXq43O2J/YoUkRELKAM1AaQpHHAjsCHgG2BG4Czgf+wfUfNbFFfBu8RMRpJGwFHA5sD3wS+YPv+uqkiIqJbzlEbIJLWavYjzQKOAaY3l/a0/eUM0tpL0jhJ75V0EXAn8B7gG8AaVYNFRN+QtKqkM4FfAg8C69o+IIO0iIj+lIHagGjOT7sGWBrYxfZqtg+pHCsqy+A9IuZH0iRJxwO/A5YD/sb2rrZnVI4WERGjyEBtcGwGnAYca/uK2mGivgzeI2J+JB0MzAC2AHa0vZXtX1WOFRERCyB71AZEs6fgw8DulKVtpwFnAXcDG9i+pV66qEHSc8C/Ad+yfXNH+1zSJyKCv1R9fBq4HHhhpM/Z3qFnoSIiYoFkRm1A2J5ue39gMvBVYAfKIG0hYHtJS9fMF1W8mXIW4tWSpkv6J0nL1Q4VEX3lNOAHwP2UfWkj/YmIiD6TGbUBJmkNyizbB4BJwGW231k3VfSapAnA+yhVHt9CGbwfBJxs++Ga2SIiIiLifycDtTGgKdf/t8A+tnesnSfqyeA9IiIiYmzIQC1iDMrgPSIiImKwZaAWERERERHRZ1JMJCIiIiIios9koBYREREREdFnMlCLiIiIiIjoMxmoRURERERE9JkM1CIiIiIiIvrM/wWHaauxTO418QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.loc[:, 'What is your opinion on sharing metadata regarding time, duration, and the location of experiments? [Date]':'What is your opinion on sharing metadata regarding time, duration, and the location of experiments? [Location]']\n",
    "column_array=['Date', 'Time', 'Duration', 'Location']\n",
    "df1.columns = column_array\n",
    "title='What is your opinion on sharing metadata regarding time, duration, and the location of experiments?'\n",
    "draw_bar_chart_mul_col(column_array, title, df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### What is your opinion on sharing metadata regarding software used?"
     }
    ]
   },
   "source": [
    "### What is your opinion on sharing metadata regarding software used?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:09.529305Z",
     "start_time": "2020-05-28T12:20:09.038511Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:09.529Z",
      "execution_time": "491ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = df.loc[:, 'What is your opinion on sharing metadata regarding software used? [Software Parameters]':'What is your opinion on sharing metadata regarding software used? [Scripts/Code/Program]']\ncolumn_array=['Software Parameters', 'Software Version', 'Software License', 'Scripts/Code/Program']\ndf1.columns = column_array\ntitle='What is your opinion on sharing metadata regarding software used?'\ndraw_bar_chart_mul_col(column_array, title, df1)",
      "start_time": "2020-05-28T12:20:09.038Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.loc[:, 'What is your opinion on sharing metadata regarding software used? [Software Parameters]':'What is your opinion on sharing metadata regarding software used? [Scripts/Code/Program]']\n",
    "column_array=['Software Parameters', 'Software Version', 'Software License', 'Scripts/Code/Program']\n",
    "df1.columns = column_array\n",
    "title='What is your opinion on sharing metadata regarding software used?'\n",
    "draw_bar_chart_mul_col(column_array, title, df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### What is your opinion on sharing metadata regarding all the steps and plans?"
     }
    ]
   },
   "source": [
    "### What is your opinion on sharing metadata regarding all the steps and plans?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:09.933343Z",
     "start_time": "2020-05-28T12:20:09.533606Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:09.933Z",
      "execution_time": "400ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = df.loc[:, 'What is your opinion on sharing metadata regarding all the steps and plans? [Laboratory Protocols]':'What is your opinion on sharing metadata regarding all the steps and plans? [Quality Control Methods]']\ncolumn_array=['Laboratory Protocols', 'Methods', 'Activities/Steps', 'Order of Activities/Steps', 'Validation Methods', 'Quality Control Methods']\ndf1.columns = column_array\ntitle='What is your opinion on sharing metadata regarding all the steps and plans?'\ndraw_bar_chart_mul_col(column_array, title, df1)",
      "start_time": "2020-05-28T12:20:09.533Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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61EQkR8aY7tjXFCwr7lzEexhjbjXGNDHG3GCM8ce+Xfe84s7rWmCMaWuMuck5VOxF7OuALndYb6EwxnQ19u8NVsTuFfxCRZqISNFRoSYi2TLGrMC+1fXjutBbsrgReBc4hV3EL8D+3Ti5fI2xfyriCHA/9m9onS3elFwewb7V+i7sn6AYXLzpiIhc2zT0UURERERExMuoR01ERERERMTLqFATERERERHxMiWucHsaZykiIiIiItczj34wXj1qIiIiIiIiXkaFmoiIiIiIiJdRoSYiIiIiIuJlVKiJiIiIiIh4mSt9MxERESkE58+fZ//+/Zw7d664U5HrQKlSpahevTq+vr7FnYqIyHXjSv/gte76KCJSCHbv3k25cuWoXLkyxnh08yiRArEsi6NHj3Lq1Clq1apV3OmIiFwLdNdHEZFr1blz51SkyRVhjKFy5crqvRURucJUqImIXKVUpMmVomNNROTKU6EmIiIFUrZsWY+XjYuLY/z48UWSx5gxY4okLkDNmjUJDg4mJCSENm3a8Ouvv+Zr/UmTJpGWllaoOc2YMYMhQ4YUakwREfE+upmIiMg1oObwRYUaL3Vsh0KNdzkuXLhAiRI5/3c1ZswYXnzxRY/jWZaFZVnccINn31UuX76cKlWq8OKLLzJmzBgmT56caX56ejo+Pj7Zrjtp0iT69OmDn5+fx/mJiIiAetRERKQQffHFFzRs2JCwsDBat27NoUOHXPM2bdpE48aNqV27NlOnTgXsomnYsGEEBQURHBxMQkICACtWrKBp06Z06tSJwMBAALp06UL9+vWpV68e7733HgDDhw/n7NmzOBwOoqOjAZgwYQJBQUEEBQUxadIkAFJTU/H396dfv34EBQXxj3/8g6eeesqV29SpU3n66adz3bZmzZrx008/AXZv4rPPPktoaCjfffcdS5cuJSwsjODgYGJjY/n999+ZPHkyBw4cICoqiqioKADi4+MJDg4mKCiI559/3hX7P//5D+Hh4YSGhtKqVSsAjh07RpcuXQgJCaFRo0YkJydfktOnn35KUFAQoaGhNGvWzNOXSURErgLqURMRkUJz7733snbtWowxvP/++/zzn//kX//6FwDJycmsXbuWM2fOEBYWRocOHfjuu+9ISkpi06ZNHDlyhIiICFfBsXHjRrZs2eK60+C0adOoVKkSZ8+eJSIigu7duzN27FjefPNNkpKSANiwYQPTp09n3bp1WJZFw4YNad68ORUrVmTnzp18+OGHNGrUiNOnTxMaGsq4cePw9fVl+vTpvPvuu7lu28KFCwkODgbgzJkzNGzYkH/961+cO3eO2rVrs3TpUurUqUO/fv145513eOqpp5gwYYKrR+7AgQM8//zzbNiwgYoVK9KmTRvmz59PkyZNePjhh1m5ciW1atXi2LFjAIwcOZKwsDDmz5/PsmXL6Nevn2s7M4waNYqvv/6a2267jePHjxfeCykiIsVOPWoiIlJo9u/fT9u2bQkODmbcuHFs3brVNa9z586ULl2aKlWqEBUVxffff8/q1avp1asXPj4+3HLLLTRv3pz169cDEBkZmel28JMnTyY0NJRGjRqxb98+du7ceUn7q1evpmvXrpQpU4ayZcvSrVs3Vq1aBcAdd9xBo0aNALtHrGXLlixcuJDt27dz/vx5VxGWVVRUFA6Hg5MnT/LCCy8A4OPjQ/fu3QHYsWMHtWrVok6dOgD079+flStXXhJn/fr1tGjRgqpVq1KiRAmio6NZuXIla9eupVmzZq5trVSpkmtb+vbtC0DLli05evQoJ0+ezBSzSZMmxMTEMHXqVNLT03N9bURE5OqiHjURESk0TzzxBM888wydOnVixYoVxMXFueZlvXNgXncSLFOmjOvxihUrWLJkCd999x1+fn60aNEi37eLd48HMHDgQMaMGUPdunUZMGBAjutl9Ii5K1WqVI7XpV1JU6ZMYd26dSxatIj69euzYcMGKleuXNxpiYhIIVCPmoiIFJoTJ05w2223AfDhhx9mmrdgwQLOnTvH0aNHWbFiBRERETRt2pSEhATS09M5fPgwK1euJDIyMtu4FStWxM/Pj+3bt7N27VrXPF9fX86fPw9A06ZNmT9/PmlpaZw5c4Z58+bRtGnTbHNt2LAh+/btY9asWfTq1avA2+zv709qaqrr+rWPP/6Y5s2bA1CuXDlOnToF2D2E33zzDUeOHCE9PZ34+HiaN29Oo0aNWLlyJbt37wZwDX1s2rQpM2fOBOxCtUqVKpQvXz5T27t27aJhw4aMGjWKqlWrsm/fvgJvh4iIeBf1qImISIGkpaVRvXp11/NnnnmGuLg4HnzwQSpWrEjLli1dxQdASEgIUVFRHDlyhJdeeolq1arRtWtXvvvuO0JDQzHG8M9//pM//elPbN++PVNb7dq1Y8qUKQQEBODv7+8awggwaNAgQkJCCA8PZ+bMmcTExLiKvYEDBxIWFkZqamq22/DQQw+RlJRExYoVC7wfSpUqxfTp03nwwQe5cOECERERPProo67c2rVrR7Vq1Vi+fDljx44lKioKy7Lo0KEDnTt3BuC9996jW7duXLx4kZtvvpn//ve/xMXFERsbS0hICH5+fpcUvgDDhg1j586dWJZFq1atCA0NLfB2iIiIdzGWZV3J9q5oYyIi16qUlBQCAgKKO42rXseOHXn66addd1qUnOmYExEpNLmP/XfS0EcREbnuHD9+nDp16lC6dGkVaSIi4pU09FFERK47N910Ez/++GNxpyEiIpIj9aiJiIiIiIh4GRVqIiIiIiIiXkaFmoiIiIiIiJfRNWoFFVehEGKcuPwYIiIiIiJyzVGPmoiIFIgxhj59+rieX7hwgapVq9KxY8dc10tKSuLLL790PY+Li2P8+PEFzuNy1xcREfFG6lETEbkWFEYvf6Z4eff4lylThi1btnD27FlKly7Nf//7X2677bY810tKSiIxMZH27dsXRqYiIiLXJPWoiYhIgbVv355FixYBEB8fT69evVzzzpw5Q2xsLJGRkYSFhbFgwQL++OMPXn75ZRISEnA4HCQkJACwbds2WrRowZ133snkyZNdMSZMmEBQUBBBQUFMmjTJNf2VV16hTp063HvvvezYscM1ffLkyQQGBhISEkLPnj2LevNFRESKjHrURESkwHr27MmoUaPo2LEjycnJxMbGsmrVKsAuplq2bMm0adM4fvw4kZGRtG7dmlGjRpGYmMibb74J2EMXt2/fzvLlyzl16hT+/v4MHjyY5ORkpk+fzrp167Asi4YNG9K8eXMuXrzI7NmzSUpK4sKFC4SHh1O/fn0Axo4dy+7duylZsiTHjx8vtv0iIiJyuVSoiYhIgYWEhJCamkp8fPwlQxkXL17M559/7rp+7Ny5c+zduzfbOB06dKBkyZKULFmSm2++mUOHDrF69Wq6du1KmTJlAOjWrRurVq3i4sWLdO3aFT8/PwA6deqUKZ/o6Gi6dOlCly5dimKTRURErggNfRQRkcvSqVMn/vrXv2Ya9ghgWRafffYZSUlJJCUlsXfvXgICArKNUbJkSddjHx8fLly4UKBcFi1axOOPP87GjRuJiIgocBwREZHipkJNREQuS2xsLCNHjiQ4ODjT9LZt2/LGG29gWRYAP/zwAwDlypXj1KlTecZt2rQp8+fPJy0tjTNnzjBv3jyaNm1Ks2bNmD9/PmfPnuXUqVN88cUXAFy8eJF9+/YRFRXFa6+9xokTJzh9+nQhb62IiMiVoaGPIiJyWapXr87QoUMvmf7SSy/x1FNPERISwsWLF6lVqxYLFy4kKiqKsWPH4nA4eOGFF3KMGx4eTkxMDJGRkQAMHDiQsLAwAHr06EFoaCg333wzERERAKSnp9OnTx9OnDiBZVkMHTqUm266qQi2WEREpOiZjG86r5Ar2liR0g9ei0gxSklJyXEYoUhR0DEnIlJojCcLaeijiIiIiIiIl1GhJiIiIiIi4mVUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVUqImISIHNnz8fYwzbt2/PdbkZM2Zw4MAB1/OBAweybdu2XNe55557AEhNTWXWrFmu6YmJidn+bpunHn30UdasWcPatWtp2LAhDoeDgIAA4uLiAFixYgXffvttgeOLiIgUBv3gtYjINSD4w+BCjbe5/2aPlouPj+fee+8lPj6ev//97zkuN2PGDIKCgqhWrRoA77//fp6xM4qljEKtd+/eADRo0IAGDRp4lF921q5dy1tvvUVgYCBz5swhNDSU9PR0duzYAdiFWtmyZV2FooiISHFQj5qIiBTI6dOnWb16NR988AGzZ892TX/ttdcIDg4mNDSU4cOHM3fuXBITE4mOjsbhcHD27FlatGhBYmIiU6ZMYdiwYa51Z8yYwZAhQwAoW7YsAMOHD2fVqlU4HA4mTpzIihUr6NixIwBnzpwhNjaWyMhIwsLCWLBgAQBbt24lMjISh8NBSEgIO3fuBOwfba5Tpw4+Pj789ttv3HrrrQD4+PgQGBhIamoqU6ZMYeLEiTgcDlatWsXhw4fp3r07ERERREREsGbNGgDi4uLo27cvjRs3pnbt2kydOhWAgwcP0qxZMxwOB0FBQaxataooXwYREblGqUdNREQKZMGCBbRr1446depQuXJlNmzYwG+//caCBQtYt24dfn5+HDt2jEqVKvHmm28yfvz4S3rCunfvTuPGjRk3bhwACQkJjBgxItMyY8eOZfz48SxcuBCwe7wyvPLKK7Rs2ZJp06Zx/PhxIiMjad26NVOmTOHJJ58kOjqaP/74g/T0dAC++uor2rVrB8DTTz+Nv78/LVq0oF27dvTv35+aNWvy6KOPUrZsWf76178C0Lt3b55++mnuvfde9u7dS9u2bUlJSQEgOTmZtWvXcubMGcLCwujQoQPx8fG0bduWESNGkJ6eTlpaWuHvfBERueapUBMRkQKJj4/nySefBKBnz57Ex8djWRYDBgzAz88PgEqVKuUao2rVqtx5552sXbuW2rVrs337dpo0aeJxDosXL+bzzz9n/PjxAJw7d469e/fSuHFjXnnlFfbv30+3bt2oXbs2AF9//TXTp08H4OWXXyY6OprFixcza9Ys4uPjMxWBGZYsWZLperqTJ09y+vRpADp37kzp0qUpXbo0UVFRfP/990RERBAbG8v58+fp0qULDofD4+0RERHJoEJNRETy7dixYyxbtozNmzdjjCE9PR1jDA8++GC+Y/Xs2ZM5c+ZQt25dunbtijHG43Uty+Kzzz7D398/0/SAgAAaNmzIokWLaN++Pe+++y6NGjXi+PHjruvkAO666y4GDx7Mww8/TNWqVTl69OglbVy8eJG1a9dSqlSpS+ZlzdUYQ7NmzVi5ciWLFi0iJiaGZ555hn79+nm8TSIiIqBCTURECmDu3Ln07duXd9991zWtefPmVKhQgenTpxMdHZ1p6GO5cuU4depUtrG6du3KK6+8wg8//MBrr712yfzc1m3bti1vvPEGb7zxBsYYfvjhB8LCwvj555+58847GTp0KHv37iU5OZmzZ88SFRXlWjejiDPGsHPnTnx8fLjpppsoV64cJ0+edC3Xpk0b3njjDde1dElJSa5esgULFvDCCy9w5swZVqxYwdixY9mzZw/Vq1fn4Ycf5vfff2fjxo0q1ETkiiqMG0x5elMpKTq6mYiIiORbfHw8Xbt2zTSte/fuHDx4kE6dOtGgQQMcDodrSGJMTAyPPvqo62Yi7ipWrEhAQAB79uwhMjLykrZCQkLw8fEhNDSUiRMnZpr30ksvcf78eUJCQqhXrx4vvfQSAHPmzCEoKAiHw8GWLVvo169fpuvTAD7++GP8/f1xOBz07duXmTNn4uPjw/3338+8efNcNxOZPHkyiYmJhISEEBgYyJQpUzLlFhUVRaNGjXjppZeoVq0aK1asIDQ0lLCwMBISElzDQ0VERPLDWJZ1Jdu7oo0VqbgKhRDjxOXHEJHrUkpKCgEBAcWdxlUlPDycdevW4evrWyjx4uLiMt105FqnY07k6qEeNa/n0Rh/DX0UEZHrwsaNG4s7BREREY+pUBMRESmAuLi44k5BRESuYbpGTURERERExMuoUBMREREREfH0HvD3AAAgAElEQVQyHhdqxhgfY8wPxpiFzue1jDHrjDE/GWMSjDE3Fl2aIiIiIiIi14/89Kg9CaS4PX8NmGhZ1t3A/4C/FGZiIiIiIiIi1yuPCjVjTHWgA/C+87kBWgJznYt8CHQpigRFRMQ77d+/n86dO1O7dm3uuusunnzySf744w+P1o2JiWHu3Ll5L5hPv//+O61bt8bhcJCQkHDJ/AsXLlC1alWGDx+eZ6ykpCS+/PJL1/PPP/+csWPH5rrOyy+/zJIlSwCYNGkSaWlprnnt27fn+PHjnm5KJmvXruXhhx8mLS2N6OhogoODCQoK4t577+X06dMcP36ct99+u0CxRUTEO3l618dJwHNAOefzysBxy7IuOJ/vB27LbkVjzCBgEMC7777LoEGDCp6tiIhkK6Vu4f6+VcD2lFznW5ZFt27dGDx4MAsWLCA9PZ1BgwYxYsQIxo0bl2nZCxcuUKLE5d1k2NMYP/zwA2AXWdn573//S506dfj000959dVXsb93zF5SUhKJiYm0b98egE6dOtGpU6dc2x81apTr8aRJk+jTpw9+fn4AmYq+/Mr4se7XX3+dW265hc2b7d832rFjB76+vhw5coS3336bxx57rMBtiIgUhbceXVYocR6f0rJQ4lxN8uxRM8Z0BH6zLGtDQRqwLOs9y7IaWJbVQEWaiMi1YdmyZZQqVYoBAwYA4OPjw8SJE5k2bRppaWnMmDGDTp060bJlS1q1aoVlWQwZMgR/f39at27Nb7/95oq1YcMGmjdvTv369Wnbti0HDx4EoEWLFjz11FM0aNCA119/PVP7x44do0uXLoSEhNCoUSOSk5P57bff6NOnD+vXr8fhcLBr165L8o6Pj+fJJ5/k9ttv57vvvnNNX79+Pffccw+hoaFERkZy4sQJXn75ZRISEly9czNmzGDIkCGcOHGCO+64g4sXLwJw5swZatSowfnz5109hZMnT+bAgQNERUURFRUFQM2aNTly5AgAn3zyCZGRkTgcDh555BHS09NJT08nJiaGoKAggoODmThxoiu/pUuX0rp1aw4ePMhtt/3/96L+/v6ULFmS4cOHs2vXLhwOB8OGDQNg3LhxREREEBISwsiRIwFITU2lbt26REdHExAQwAMPPODq9Rs+fDiBgYGEhIRcNz/iLSLizTz5irMJ0MkY0x4oBZQHXgduMsaUcPaqVQd+Kbo0RUTEm2zdupX69etnmla+fHluv/12fvrpJ8D+genk5GQqVarEv//9b3bs2MG2bds4dOgQgYGBxMbGcv78eZ544gkWLFhA1apVSUhIYMSIEUybNg2AP/74g8TExEvaHzlyJGFhYcyfP59ly5bRr18/kpKSeP/99xk/fjwLFy68ZJ1z586xZMkS3n33XY4fP058fDz33HMPf/zxBz169CAhIYGIiAhOnjyJn58fo0aNIjExkTfffBOAGTNmAFChQgUcDgfffPMNUVFRLFy4kLZt2+Lr6+tqa+jQoUyYMIHly5dTpUqVTHmkpKSQkJDAmjVr8PX15bHHHmPmzJnUq1ePX375hS1btgC4hkkeOXIEX19fKlSoQGxsLG3atGHu3Lm0atWK/v37U7t2bcaOHcuWLVtcPYmLFy9m586dfP/991iWRadOnVi5ciW33347O3bs4IMPPqBJkybExsby9ttvM2DAAObNm8f27dsxxhR4iKaIiBSePHvULMt6wbKs6pZl1QR6Asssy4oGlgMPOBfrDywosixFROSqc99991GpUiUAVq5cSa9evfDx8aFatWq0bGkPYdmxYwdbtmzhvvvuw+FwMHr0aPbv3++K0aNHj2xjr169mr59+wLQsmVLjh49ysmTJ3PNZ+HChURFRVG6dGm6d+/O/PnzSU9PZ8eOHdx6661EREQAdsGZ1zDLjMIOYPbs2TnmmZ2lS5eyYcMGIiIicDgcLF26lJ9//pk777yTn3/+mSeeeIL//Oc/lC9fHrCLrjZt2gDgcDj4+eefGTZsGMeOHSMiIoKUlEuHqS5evJjFixcTFhZGeHg427dvZ+fOnQDUqFGDJk2aANCnTx9Wr15NhQoVKFWqFH/5y1/497//7RquKSIixedyLhp4HphtjBkN/AB8UDgpiYiItwsMDLzkZiAnT55k79693H333WzcuJEyZcrkGceyLOrVq5dpGKI7T2J4Kj4+ntWrV1OzZk0Ajh49yrJly/jTn/6U71idOnXixRdf5NixY2zYsMFVeHrCsiz69+/Pq6++esm8TZs28fXXXzNlyhTmzJnDtGnT+Oqrr3jmmWdcy5QtW5Zu3brRrVs3brjhBr788ku6d+9+SRsvvPACjzzySKbpqampl1yXZ4yhRIkSfP/99yxdupS5c+fy5ptvsmxZ4VxXIiIiBZOvH7y2LGuFZVkdnY9/tiwr0rKsuy3LetCyrN+LJkUREfE2rVq1Ii0tjY8++giA9PR0nn32WWJiYrLtjWnWrBkJCQmkp6dz8OBBli9fDtjXWB0+fNhVqJ0/f56tW7fm2X7Tpk2ZOXMmACtWrKBKlSquHqjsnDx5klWrVrF3715SU1NJTU3lrbfeIj4+Hn9/fw4ePMj69esBOHXqFBcuXKBcuXKcOnUq23hly5YlIiKCJ598ko4dO+Lj43PJMjmt36pVK+bOneu6Tu/YsWPs2bOHI0eOcPHiRbp3787o0aPZuHEjlmWRnJyMw+EAYM2aNfzvf/8D7GGh27Zt44477rikrbZt2zJt2jROnz4NwC+//OJqb+/eva79PWvWLNedI0+cOEH79u2ZOHEimzZtymXvi4jIlXB5t+ESEZHrkjGGefPm8dhjj/GPf/yDixcv0r59e8aMGZPt8l27dmXZsmUEBgZy++2307hxYwBuvPFG5s6dy9ChQzlx4gQXLlzgqaeeol69erm2HxcXR2xsLCEhIfj5+fHhhx/muvy8efNo2bIlJUuWdE3r3Lkzzz33HO+88w4JCQk88cQTnD17ltKlS7NkyRKioqIYO3YsDoeDF1544ZKYPXr04MEHH2TFihXZtjlo0CDatWtHtWrVXIUp2L2Ro0ePpk2bNly8eBFfX1/eeustSpcuzYABA1w3KXn11VfZsGEDYWFhrl6wXbt2MXjwYCzL4uLFi3To0IHu3btjjKFJkyYEBQXx5z//mXHjxpGSkuLaz2XLluWTTz7Bx8cHf39/3nrrLWJjYwkMDGTw4MGcOHGCzp07c+7cOSzLYsKECbnuTxERKXrGsqwr2d4VbaxIxVUohBgnLj+GiFyXUlJSCAgo3Fvyi/cZPXo0d999Nz179iyUeKmpqXTs2NF1w5L80DEncvUI/jD4smNs7r+5EDLR7flzkPNvw7hRj5qIiIiX+tvf/lbcKYiISDHJ1zVqIiIicvWqWbNmgXrTRETkylOhJiIiIiIi4mVUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIi+RYVFcXXX3+dadqkSZMYPHhwruuVLVsWgAMHDvDAAw9ku0yLFi1ITEzMNc6kSZNIS0tzPW/fvj3Hjx/3JPVcxcXFYYzhp59+ytSWMSbfOWVsa0Fd7voiInJ10+35RUSuAYX1OzUZ8vq9ml69ejF79mzatm3rmjZ79mz++c9/ehS/WrVqzJ07t8D5TZo0iT59+uDn5wfAl19+WeBYWQUHBzN79mzXrfE//fTTPH+AO7ucRERELod61EREJN8eeOABFi1axB9//AHYP6R84MABmjZtyunTp2nVqhXh4eEEBwezYMGCS9ZPTU0lKCgIgLNnz9KzZ08CAgLo2rUrZ8+edS03ePBgGjRoQL169Rg5ciQAkydP5sCBA0RFRREVFQXYt50/cuQIABMmTCAoKIigoCAmTZrkai8gIICHH36YevXq0aZNm0ztuOvSpYsr5127dlGhQgWqVKnimr948WIaN25MeHg4Dz74IKdPn842J4ARI0YQGhpKo0aNOHTokCuXli1bEhISQqtWrdi7dy8Au3fvpnHjxgQHB2f6/bSDBw/SrFkzHA4HQUFBrFq1yuPXSURErl4q1EREJN8qVapEZGQkX331FWD3pj300EMYYyhVqhTz5s1j48aNLF++nGeffRbLsnKM9c477+Dn50dKSgp///vf2bBhg2veK6+8QmJiIsnJyXzzzTckJyczdOhQqlWrxvLly1m+fHmmWBs2bGD69OmsW7eOtWvXMnXqVH744QcAdu7cyeOPP87WrVu56aab+Oyzz7LNp3z58tSoUYMtW7Ywe/ZsevTo4Zp35MgRRo8ezZIlS9i4cSMNGjRgwoQJ2eZ05swZGjVqxKZNm2jWrBlTp04F4IknnqB///4kJycTHR3N0KFDAXjyyScZPHgwmzdv5tZbb3W1OWvWLNq2bUtSUhKbNm3C4XB4/DqJiMjVS4WaiIgUSMbwR7ALtV69egFgWRYvvvgiISEhtG7dml9++cXVm5SdlStX0qdPHwBCQkIICQlxzZszZw7h4eGEhYWxdetWtm3blmtOq1evpmvXrpQpU4ayZcvSrVs3Vw9UrVq1XEVO/fr1SU1NzTFOz549mT17NvPnz6dr166u6WvXrmXbtm00adIEh8PBhx9+yJ49e7KNceONN9KxY8dL2vvuu+/o3bs3AH379mX16tUArFmzxrUP+/bt64oTERHB9OnTiYuLY/PmzZQrVy7XfSAiItcGFWoiIlIgnTt3ZunSpWzcuJG0tDTq168PwMyZMzl8+DAbNmwgKSmJW265hXPnzuU7/u7duxk/fjxLly4lOTmZDh06FChOhpIlS7oe+/j4cOHChRyX7dixIx9//DG333475cuXd023LIv77ruPpKQkkpKS2LZtGx988EG2MXx9fTHGeNRehozl3TVr1oyVK1dy2223ERMTw0cffZRnHBERufqpUBMRkQIpW7YsUVFRxMbGunqCAE6cOMHNN9+Mr68vy5cvz7HHKUOzZs2YNWsWAFu2bCE5ORmAkydPUqZMGSpUqMChQ4dcwywBypUrx6lTpy6J1bRpU+bPn09aWhpnzpxh3rx5NG3aNN/b5ufnx2uvvcaIESMyTW/UqBFr1qxx3RXyzJkz/Pjjj7nmlNU999zj6omcOXOmK78mTZpkmp5hz5493HLLLTz88MMMHDiQjRs35nt7RETk6qO7PoqISIH16tWLrl27ugoMgOjoaO6//36Cg4Np0KABdevWzTXG4MGDGTBgAAEBAQQEBLh65kJDQwkLC6Nu3brUqFGDJk2auNYZNGgQ7dq1c10XliE8PJyYmBgiIyMBGDhwIGFhYbkOc8xJz549L5lWtWpVZsyYQa9evfj9998BGD16NHXq1Mkxp6zeeOMNBgwYwLhx46hatSrTp08H4PXXX6d379689tprdO7c2bX8ihUrGDduHL6+vpQtW1Y9aiIi1wmT2wXeReCKNlak4ioUQowTlx9DRK5LKSkpBAQEFHcach3RMSdy9Qj+MPiyY2zuv7kQMim8n4/J62djrjKXjnPPhoY+ioiIiIiIeBkVaiIiIiIiIl5GhZqIiIiIiIiXUaEmIiIiIiLiZVSoiYiIiIiIeBkVaiIiIiIiIl5GhZqIiBTI/v376dy5M7Vr1+bOO+9kyJAhrt8WK4gWLVqQmJgIQPv27Tl+/DjHjx/n7bffznesH3/8kfbt21O7dm3Cw8N56KGHOHToUIHyGjNmTIHWq1mzJkeOHMl2etYf4XY4HAQFBeUaLzU11fXD4AAzZsxgyJAhBcqtMNYXEZGipR+8FhG5BvyrR8dCjfdswsJc51uWRbdu3Rg8eDALFiwgPT2dQYMG8dxzz/H6669fdvtffvklYBcnb7/9No899pjH6547d44OHTowYcIE7r//fsD+0ejDhw9zyy235DuXMWPG8OKLL14y3bIsLMvihhvy/53nqVOn2LdvHzVq1CAlJcWjdTIKtd69e+e7PRERufqoR01ERPJt2bJllCpVigEDBgDg4+PDxIkT+eijjzh9+vQlvTUdO3ZkxYoVAAwePJgGDRpQr149Ro4cmW38jN6o4cOHs2vXLhwOB8OGDaNfv37Mnz/ftVx0dDQLFizItO6sWbNo3Lixq0gDu7cuKCiIc+fOMWDAAIKDgwkLC2P58uWA3bvUrVs32rVrR+3atXnuuecAGD58OGfPnsXhcBAdHU1qair+/v7069ePoKAg9u3bR3x8PMHBwQQFBfH88897tP8eeughEhISAIiPj6dXr16ueenp6QwbNoyIiAhCQkJ49913XbmsWrUKh8PBxIkTAThw4MAlOWfEzC6n6dOnU6dOHSIjI1mzZo1r+qeffkpQUBChoaE0a9bMo20QEZGipUJNRETybevWrdSvXz/TtPLly1OzZk1++umnXNd95ZVXSExMJDk5mW+++Ybk5OQclx07dix33XUXSUlJjBs3jr/85S/MmDEDgBMnTvDtt9/SoUOHTOts2bLlktwyvPXWWxhj2Lx5M/Hx8fTv359z584BkJSUREJCAps3byYhIYF9+/YxduxYSpcuTVJSEjNnzgRg586dPPbYY2zduhVfX1+ef/55li1bRlJSEuvXr89USOake/fu/Pvf/wbgiy++yFRUfvDBB1SoUIH169ezfv16pk6dyu7duxk7dixNmzYlKSmJp59+OsecDxw4kG1OBw8eZOTIkaxZs4bVq1ezbds2V5ujRo3i66+/ZtOmTXz++ed55i8iIkVPhZqIiFxRc+bMITw8nLCwMLZu3ZqpYMhL8+bN2blzJ4cPHyY+Pp7u3btTooTno/hXr15Nnz59AKhbty533HEHP/74IwCtWrWiQoUKlCpVisDAQPbs2ZNtjDvuuINGjRoBsH79elq0aEHVqlUpUaIE0dHRrFy5Ms88KleuTMWKFZk9ezYBAQH4+fm55i1evJiPPvoIh8NBw4YNOXr0KDt37sw2TnY555TTunXrXNNvvPFGevTo4YrTpEkTYmJimDp1Kunp6Z7tTBERKVIq1EREJN8CAwPZsGFDpmknT57k119/xd/fnxIlSnDx4kXXvIxeq927dzN+/HiWLl1KcnIyHTp0cM3zVL9+/fjkk0+YPn06sbGxl8yvV6/eJbl5omTJkq7HPj4+XLhwIdvlypQpk+/Y2enRowePP/54pmGPYF/79sYbb5CUlERSUhK7d++mTZs2l5VzXqZMmcLo0aPZt28f9evX5+jRowWKIyIihUeFmoiI5FurVq1IS0vjo48+Auzrqp599lmGDBlC6dKlqVmzJklJSVy8eJF9+/bx/fffA3YxV6ZMGSpUqMChQ4f46quvcm2nXLlynDp1KtO0mJgYJk2aBNgFY1a9e/fm22+/ZdGiRa5pK1euZMuWLTRt2tQ1hPHHH39k7969+Pv755qDr68v58+fz3ZeZGQk33zzDUeOHCE9PZ34+HiaN2+ea7wMXbt25bnnnqNt27aZprdt25Z33nnH1eaPP/7ImTNnst0X+cmpYcOGfPPNNxw9epTz58/z6aefutbZtWsXDRs2ZNSoUVStWpV9+/Z5tA0iIlJ0VKiJiEi+GWOYN28ec+fOpXbt2lSuXJkbbriBESNGAPZQulq1ahEYGMjQoUMJDw8HIDQ0lLCwMOrWrUvv3r1p0qRJru1UrlyZJk2aEBQUxLBhwwC45ZZbCAgIcN3IJKvSpUuzcOFC3njjDWrXrk1gYCBvv/02VatW5bHHHuPixYsEBwfTo0cPZsyYkalXKjuDBg0iJCSE6OjoS+bdeuutjB07lqioKEJDQ6lfvz6dO3fOc/+BXYQ+//zz3HjjjZmmDxw4kMDAQMLDwwkKCuKRRx7hwoULhISE4OPjQ2hoqOtmItnJKadbb72VuLg4GjduTJMmTQgICHCtM2zYMNfNR+655x5CQ0M92gYRESk6xrKsK9neFW2sSMVVKIQYJy4/hohcl1JSUjJ90C5u3377Lb169WLevHmuoqyopKWlERwczMaNG6lQoRDOxeIRbzvmRCRnwR8GX3aMzf03F0Im8NajywolzuNTWhZKHC9hPFlIPWoiInLZ7rnnHvbs2VPkRdqSJUsICAjgiSeeUJEmIiLXNP3gtYiIXDVat26d490YRUREriXqURMREREREfEyKtRERK5SV/gaY7mO6VgTEbnyVKiJiFyFSpUqxdGjR/UBWoqcZVkcPXqUUqVKFXcqIiLXFV2jJiJyFapevTr79+/n8OHDxZ2KXAdKlSpF9erVizsNEZHrigo1EZGrkK+vL7Vq1SruNERERKSIaOijiIiIiIiIl1GhJiIiIiIi4mVUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVKFHcCIiIiIiLiXVLqBhROoBZvFUqYf/XoWChxnk1YWChxrgT1qImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVKFHcCIiIiIiJXs5rDFxVKnNSxHQoljlwb1KMmIiIiIiLiZVSoiYiIiIiIeBkVaiIiIiIiIl5GhZqIiIiIiIiXUaEmIiIiIiLiZVSoiYiIiIiIeBkVaiIiIiIiIl5GhZqIiIiIiIiXUaEmIiIiIiLiZVSoiYiIiIiIeBkVaiIiIiIiIl5GhZqIiIiIiIiXUaEmIiIiIiLiZVSoiYiIiIiIeBkVaiIiIiIiIl5GhZqIiIiIiIiXUaEmIiIiIiLiZVSoiYiIiIiIeBkVaiIiIiIiIl5GhZqIiIiIiIiXUaEmIiIiIiLiZUoUdwIiIiIiIgLEVSicOLVuL5w4UqzUoyYiIiIiIuJlVKiJiIiIiIh4GRVqIiIiIiIiXkaFmoiIiIiIiJdRoSYiIiIiIuJlVKiJiIiIiIh4mTwLNWNMKWPM98aYTcaYrcaYvzun1zLGrDPG/GSMSTDG3Fj06YqIiIiIiFz7POlR+x1oaVlWKOAA2hljGgGvARMty7ob+B/wl6JLU0RERERE5PqRZ6Fm2U47n/o6/yygJTDXOf1DoEuRZCgiIiIiInKd8egaNWOMjzEmCfgN+C+wCzhuWdYF5yL7gduKJkUREREREZHri0eFmmVZ6ZZlOYDqQCRQ19MGjDGDjDGJxpjE9957r4BpioiIiIiIXD9K5Gdhy7KOG2OWA42Bm4wxJZy9atWBX3JY5z0go0KzLidZERERERGR64End32saoy5yfm4NHAfkAIsBx5wLtYfWFBUSYqIiIiIiFxPPOlRuxX40Bjjg13YzbEsa6ExZhsw2xgzGvgB+KAI8xQREREREblu5FmoWZaVDIRlM/1n7OvVREREREREpBB5dDMRERERERERuXJUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVUqImIiIiIiHgZFWoiIiIiIiJeRoWaiIiIiIiIl1GhJiIiIiIi4mVUqImIiIiIiHiZEsWdwJVWc/iiQomTWqpQwhSKlLoBhRJnWYu3CiXO41NaFkocEREREZHrlXrUREREREREvIwKNRERERERES+jQk1ERERERMTLqFATERERERHxMirUREREREREvIwKNRERERERES+jQk1ERERERMTLqFATERERERHxMirUREREREREvIwKNRERERERES+jQk1ERERERMTLqFATERERERHxMirUREREROT/2rvzcMmq8vz735tuGUSRIRFxQFBEQBlV1CAqg4hiFCWKaIiI86s/NWCQRBNRoziPEQ1xwjEQ0YBCFCPOAw5gBGlBRkHARkBAZBKe94+9DxyK0wNwqLWr6/u5rr5O1ao65X3J6up6aq/1LEkDY6EmSZIkSQNjoSZJkiRJA2OhJkmSJEkDY6EmSZIkSQNjoSZJkiRJA2OhJkmSJEkDY6EmSZIkSQNjoSZJkiRJA7OwdYBptvlhm8/L6xwxL68yf96951Pu8Gvsf/hX5iGJJEmSNJm8oiZJkiRJA2OhJkmSJEkDY6EmSZIkSQNjoSZJkiRJA2OhJkmSJEkDY6EmSZIkSQNjoSZJkiRJA2OhJkmSJEkDY6EmSZIkSQNjoSZJkiRJA2OhJkmSJEkDY6EmSZIkSQNjoSZJkiRJA2OhJkmSJEkDY6EmSZIkSQNjoSZJkiRJA2OhJkmSJEkDY6EmSZIkSQNjoSZJkiRJA2OhJkmSJEkDY6EmSZIkSQNjoSZJkiRJA2OhJkmSJEkDY6EmSZIkSQNjoSZJkiRJA2OhJkmSJEkDY6EmSZIkSQNjoSZJkiRJA2OhJkmSJEkDY6EmSZIkSQNjoSZJkiRJA2OhJkmSJEkDY6EmSZIkSQNjoSZJkiRJA2OhJkmSJEkDY6EmSZIkSQNjoSZJkiRJA2OhJkmSJEkDYxcTSbEAACAASURBVKEmSZIkSQOzzEItyf2SfDPJqUl+meRV/fjaSb6e5Nf9z7Xu/LiSJEmStOJbnitqfwb2r6rNgEcBL0+yGXAg8I2qehDwjf6+JEmSJOkOWmahVlUXVtWJ/e0rgUXAfYCnAYf1TzsM2P3OCilJkiRJ0+Q27VFLsgGwNXACsG5VXdg/dBGw7hJ+58VJfprkp4ceeugdiCpJkiRJ02Hh8j4xyd2AI4FXV9UVSW56rKoqSc31e1V1KDBToc35HEmSJEnSzZbrilqSu9AVaZ+tqi/2w79Lsl7/+HrA4jsnoiRJkiRNl+Xp+hjgY8CiqnrPrIeOBp7X334ecNT8x5MkSZKk6bM8Sx+3A/YGTk7y837sn4C3AUckeQFwLvCsOyeiJEmSJE2XZRZqVfU9IEt4eKf5jSNJkiRJuk1dHyVJkiRJdz4LNUmSJEkaGAs1SZIkSRoYCzVJkiRJGhgLNUmSJEkaGAs1SZIkSRoYCzVJkiRJGhgLNUmSJEkaGAs1SZIkSRoYCzVJkiRJGhgLNUmSJEkaGAs1SZIkSRoYCzVJkiRJGhgLNUmSJEkaGAs1SZIkSRoYCzVJkiRJGhgLNUmSJEkaGAs1SZIkSRoYCzVJkiRJGhgLNUmSJEkaGAs1SZIkSRoYCzVJkiRJGhgLNUmSJEkaGAs1SZIkSRoYCzVJkiRJGhgLNUmSJEkaGAs1SZIkSRqYha0DSFqxvXvPp8zL6+x/+Ffm5XUkSZImgVfUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgFrYOIGn+Ldpk03l5nU1/tWheXkeSJEm3jVfUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgFrYOIOlmmx+2+by8zhHz8iqSJElqxStqkiRJkjQwFmqSJEmSNDAWapIkSZI0MBZqkiRJkjQwFmqSJEmSNDAWapIkSZI0MBZqkiRJkjQwFmqSJEmSNDAWapIkSZI0MBZqkiRJkjQwC1sHkDRcH3rp8a0jSJIkTSWvqEmSJEnSwFioSZIkSdLAWKhJkiRJ0sBYqEmSJEnSwFioSZIkSdLAWKhJkiRJ0sBYqEmSJEnSwFioSZIkSdLAWKhJkiRJ0sBYqEmSJEnSwCxsHUBqbYMDj5mX1znnbbvNy+tIkiRJXlGTJEmSpIGxUJMkSZKkgbFQkyRJkqSBsVCTJEmSpIGxUJMkSZKkgbFQkyRJkqSBWWahluTjSRYnOWXW2NpJvp7k1/3Pte7cmJIkSZI0PZbnitongV1Hxg4EvlFVDwK+0d+XJEmSJM2DZRZqVfUd4NKR4acBh/W3DwN2n+dckiRJkjS1bu8etXWr6sL+9kXAukt6YpIXJ/lpkp8eeuiht/N/TpIkSZKmx8I7+gJVVUlqKY8fCsxUaEt8niRJkiSpc3uvqP0uyXoA/c/F8xdJkiRJkqbb7S3Ujgae199+HnDU/MSRJEmSJC1Pe/7PAz8EHpzk/CQvAN4GPCHJr4Gd+/uSJEmSpHmwzD1qVbXXEh7aaZ6zSJIkSZK4/UsfJUmSJEl3Egs1SZIkSRoYCzVJkiRJGhgLNUmSJEkaGAs1SZIkSRqYZXZ9lCRJ0s02OPCYeXmdc96227y8jqQVk1fUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgLNQkSZIkaWAs1CRJkiRpYCzUJEmSJGlgFrYOIK0wDrrHHX+NDde/468hzWHRJpvOy+ts+qtF8/I6krQ0797zKfPyOvsf/pV5eR2pBa+oSZIkSdLAWKhJkiRJ0sBYqEmSJEnSwFioSZIkSdLAWKhJkiRJ0sBYqEmSJEnSwFioSZIkSdLAWKhJkiRJ0sBYqEmSJEnSwFioSZIkSdLALGwdQJK0ZJsftvm8vM4R8/Iq8+Pdez5lXl5n/8O/Mi+vIzVz0D3m6XUun5/XmQcfeunxrSNIKwyvqEmSJEnSwFioSZIkSdLAWKhJkiRJ0sBYqEmSJEnSwFioSZIkSdLAWKhJkiRJ0sBYqEmSJEnSwFioSZIkSdLAWKhJkiRJ0sBYqEmSJEnSwCxsHUCShmaDA4+5w69xzqrPmYckwIbrz8/rzJMPvfT41hGamJc58bbd5iHJ/Fm0yaZ3+DU2/dWieUiiO2rzwzafl9c54uA/3/EXefyH7vhrSAK8oiZJkiRJg2OhJkmSJEkDY6EmSZIkSQNjoSZJkiRJA2OhJkmSJEkDY6EmSZIkSQNzhwq1JLsmOS3JGUkOnK9QkiRJkjTNbnehlmQB8CHgScBmwF5JNpuvYJIkSZI0re7IFbVtgTOq6qyqug74T+Bp8xNLkiRJkqbXHSnU7gOcN+v++f2YJEmSJOkOSFXdvl9M/gbYtape2N/fG3hkVb1i5HkvBl7c3z20qg69A3k1hyQv9v9Xzeac0CjnhEY5JzTKOaHZnA/t3ZErar8F7jfr/n37sVuoqkOr6uH9H/9j3zlevOynaMo4JzTKOaFRzgmNck5oNudDY3ekUPsJ8KAkGyZZGXg2cPT8xJIkSZKk6bXw9v5iVf05ySuArwELgI9X1S/nLZkkSZIkTanbXagBVNWxwLHzlEW3n0tKNco5oVHOCY1yTmiUc0KzOR8au93NRCRJkiRJd447skdNkiRJknQnsFCTJEmSpIGxUJNWEEn+Iskjk6zSOouGwTkhSdLkslCbAEnWXt4/rbNq/JLcPckRwGLgB8B9+vGPJDmoZTa14ZyQtLySPDzJnklW7++vnuQONZvT5ElyXJJ7zDF+9yTHtcikO9j1UWPze2BZXV/SP2fBnR9HA/N2ug/i2wDfmzX+FeAtwEENMqkt54RIcjLL/rcDgKra4k6Oo4FJsi5wFLAt3Tx5EHAW8B7gGuBV7dKpgZ2BuVZfrAbsMOYs6lmoTQb/gmhpngo8vap+nmT2h7JFwAMaZVJbzgkBfKF1AA3ae4HfAesAv5k1/l/AB5sk0tglmf0lzWZJ7jXr/gJgV+CC8abSDAu1CVBV326dQYO2FnDJHON3B24YcxYNg3NCVNUbW2fQoO0E7FRVlyWZPX4msH6bSGrg53RXVAs4fo7HrwVeOdZEuomF2gTrv/VYefZYVf1mCU/XiusndFdQ3tffn7mC8hK6/UmaPs4JScuyGnDdHON/Sbf0UdPhQXTbZ04HHk233WbGdcBFVXV9i2CyUJs4/UbPDwDPYqRI67lHbfr8E/C1JA+h+zu9X397W+CxTZOpFeeE3KOmZfkOsA/d+wVAJVkAvBb4RqtQGq+qOhMgyV2qyhUXA2OhNnneBWwJ7A58EdiXrmnAq4D9G+ZSI1X1gyR/BbyGbsnKTsCJwKOr6uSm4dSEc0I996hpaQ4Avp3kEXRNJN4NPAS4B7Bdy2Aav6q6Icm9gccA92SkM3xVfaBJsCmXquX6sk0DkeR8YK+q+m6SK4BtquqMJHsB+1bVExpHlCRJE6DfQvEy4GF0H8xPBD5UVRc2DaaxS/Js4JP93dFu41VV7ltswEJtwiT5I7BZVf0myXnA31TVCUk2AH5ZVas3DaixS/JM4LqqOmpk/GnAXarKb9WnjHNCyyPJasCewAur6jGt80hqJ8kZdCu1XueetOFw6ePkOZOuvfZv6FptPzvJj4FnAJe2DKZmDgL2m2P8KrpmEn4onz4H4ZzQEvRL3V5IV6QVcHTbRBqXJNss73Or6sQ7M4sG517ARyzShsVCbfJ8EtgC+BbwNroDbF9Bt2TBwymn0wOA0+YYPwPPzJpWzgndQpK1gL2BFwAbAavSdQE9zA9mU+WndMV5lvG8wuZk0+arwCPoDj3XQFioTZiqeu+s28cn2QR4OPBrmwRMrcvo2uueMzK+MXDl2NNoCJwTAiDJTsCL6I5rOIHuiuqRdOfs/cAibeps2DqABut/gHck2RQ4GbjFe0NVeeW9AfeoSRMuyYeB7YFnVNXp/diD6T6Mfb+qXtIyn8bPOaEZSf4MvAf4t9nnbCa5Htiyqk5tFk7SYCS5cSkPV1V5hbUBC7UJkGQ/4JCquqa/vURV9Z4xxdJAJFmD7puwRwIznbrWA34M7FpVV7TKpjacE5qR5GhgR7r58GngmL4Nt4WaSLIeXdfHzfqhRcCHq+qCdqnUQn+G3hJ5xlobFmoTIMnZwMOr6pL+9pJUVbn/ZEoleQKwVX/3JOAb5V/wqeacENzUgn0funM31wKOAF4MbFFVixpGU0P9+8NRwHl0y2IBtgXWB3avquNaZZPUsVCTJGlKJHk8XUORPYDFdB1A/6uqTlja72nFk2QR8HXgVbO/wEnyfmCXqtq0WTg1keQewBPpivWVZz9WVW9tEmrKWahNmCR/BxxeVdeOjK8MPLuqPtUmmVpK8khgJ+CedB1Ab1JVr2wSSk05J7Q0/Qeyv6W7yraV+0+mT5Kr6Za/nj4yvjHw86q6a5tkaqE/tuN/gBuBtemWzd8LuAY4r6o2W8qv605ioTZhktwArFdVi0fG1wEW+4/t9EnyGuAddK3XL6BrqzyjqmrHJsHUjHNCt0WSravqpNY5NF5Jvgu8r6qOHBnfA9ivqrZrk0wtJPkO8Avg/wFXAFsCVwOfpztf7T8bxptaFmoTpu/Ks25VXTwyvjXd/pO12yRTK0nOA95eVf/WOouGwTkhaS4jB14/GHg7cAjwo37sUXTNRQ6sqs+POZ4aSnI5sG1VnZbkD8Cjq2pRkm2Bz1TVxo0jTiXPUZsQSU6m+1a8gG/3LZdnLADuDxzbIpuaWwP/2+uWnBOS5jLXgddz7T36DN2VFE2P67h59cXv6PapLaK7unbfVqGmnYXa5PhC//OhwDHAH2c9dh3dwbZHomn0eWBXum9FJXBOSJqbB15rSU4CHg6cDnwbeFOSvwD2plsSqQZc+jhhkjyPrpnINa2zaBiSvA54NXAc3Zvp9bMf92y96eOckCTdFv0Sx7tX1TeS3BP4LLAdXeG2T1X9vGnAKWWhNsGSrMmtu7ld2iiOGvFsPY1yTmhUko/TtWG/cmR8deCDVbVvm2RqKclCbj47bbQdu12kpcYs1CZMkvsDHwEezy3fVEP3Acyuj5KkW1hKx+C/AC6qKrdCTJkkmwBfplsOGeAGui0x1wPXVtUaDeNpzJIcBzyzqi4fGb87cGRV7dIm2XTzjXnyfAJYk+7A0tG225Ik3STJ2nQfwgOsNUcjqt3oGgdo+rwP+BmwFXBR//MewIeB1zfMpTZ2BlaZY3w1YIcxZ1HPQm3ybAs8qqpOaR1Ew9EfUPo3zL18xSVNU8g5od7vublj8KlzPF7AG8aaSEPxCOBxVXVVf/TPwqo6MckBwAeBLdrG0zgkmf3febMk95p1fwFdY6oLxptKMyzUJs/ZzP2Nh6ZUkt3oOn6eBDwM+AnwQLp58t2G0dSIc0Kz7EB3Ne14YA9g9j7m64Bzq8oPYdMpwJ/62xcD9wFOA84HNmoVSmP3c27+Muf4OR6/FnjlWBPpJhZqk+dVwMFJ/r+qOqN1GA3Cm4A3VtXBSa6ka6V7AfBp4IdNk6kV54QAqKpvAyTZEPhNzbExPclG/nsylU4BtgTOAn4MvLbfy/giwPkwPR5EV7SfDjya7ir8jOvo9rBeP9cv6s5nM5EJ03/oWoXucvS1wOz9Brj5d/ok+SOwRVWdleRS4LFVdUqSzYFjqmr9xhE1Zs4JLUuSVemWxr4IeIyNqKZPkicCq1fVF5M8gO6M1gfTfVB/VlV9q2U+jU+SuwCHAf9cVWe2zqObeUVt8ryidQANzpXAqv3tC+mWrJxC9/d7rVah1JRzQnNKsg1dM6q96L7s+xJwUMtMaqOqvjbr9lnApn3zmcvmuvKqFVdVXZ/kydhEZnAs1CZMVR3WOoMG5wTgMXSNAo4B3p1kS+DpuMxtWjkndJMk9wCeC7yQbpnTUcDd6a6kzdVgRFOgbxqxsKrOnxmrqkuT3DfJ9VVlN9Dp8iVgd+A9rYPoZhZqEyjJunR7Th5Id5n690m2Ay6oqqUddKsV037A3frbB9F9ANuDbr35fo0yqS3nhABI8mm6D18nAO8HvtB3+duzbTINwGeAw4H/GBl/IrAn4LlZ0+VM4J+T/BXdsQ1XzX6wqj7QJNWUc4/ahEnyMOAbdN0fHwJs0u9DOQjYuKqe0zKfJGk4+nPT3g68q6oumzV+PbClV9SmV5I/AI+sqtNGxjcGflRVa7dJphaSnLeUh8u9zW2s1DqAbrN3Ae+vqq3p9hfM+BqwXZtIainJWUnWmWN8zSRntciktpwTmuVZdAcZn5/kS0me3jcOkBYy93E/qy5hXCuwqrrfUv5YpDVioTZ5HkbXmWfUhcC6Y86iYdiArgvoqFXozsXR9NkA54SAqvpiVe1G183vRLov+y6i+/d/6yRpmU9NnQC8bI7xl9OdvagplWTVvjOsGnOP2uS5mrm7tm0CLB5zFjWU5Bmz7u6W5PJZ9xcAOwHnjDWUmnJOaEn6hhFvBt6cZGe6xiIfpWs086WqmusDu1ZsrwOOT7IFNx90vCOwNbBzs1RqJslLgNcC9wcqybnA26vq0LbJppd71CZMkkOBewHPpDvrZAu60+SPAo6vqr9vGE9jlOTGpTx8Pd0H8v2r6ivjSaTWnBO6LZKsBfwdsG9Vbdk6j8av7wb7D3TFGcBJwDur6v/apVILSV4L/DPwXuB7/fD2wKuBN1XVO1plm2YWahMmyRrAsXQF2up0S1jWBb4PPLmqrlrKr2sFlORs4OFVdUnrLBoG54Qk6bbor579U1V9dmR8b+DNVbVBk2BTzqWPE6aqrgAek2RHYBu6fQYnVtX/tk2mFvqmAIuBvwD8UC7nhKQlSrJ2VV06c3tpz515nqbGunT7Fkf9iG4llxqwUJtQVXU8/ZpyO3hNr6q6PsmGdMtfJeeEpKW5OMl6VbWYbvvEXO8T6cfnakikFdev6c7Pe8vI+J50Z3CqAQu1CZPklcBvq+rI/v7HgOclORN46uh5KJoKhwEvottnIIFzQtLcdgRmrpTt0DKIBueNwOFJtqfbTgPdsU870x3zoQbcozZhkpxBt/H7O0keCxwDvADYA1i9qp7SNKDGLskhwHPpDkH/GXCLfYpV9coWudSOc0KSdFsl2RbYD9i0H1oEvLuqPK6hEQu1CZPkamDjqjovyTuBdapq3ySbAt+tqr9oHFFjluSbS3m4qmrHsYXRIDgnNCrJDcDMkrfZ4+sAi6vKZW5TYFn70mZzj5rUnksfJ88VwD2B84AnAO/sx68HPJxwClWVy1d0C84JzWFJB1uvAlw3ziBqakn70mZzj9qUSrIK3Z60zfqhU4HDq+radqmmm4Xa5DkO+I8kJwIbAf/Tjz+EbpmTplSSVenmRAFnVtU1jSOpMeeEkuzX3yzgpUn+OOvhBXTnJP1q7MHUil/iaE5JtgK+DKwB/LIffhnw1iRPqaqfNws3xVz6OGH6c9TeAqwPfLiqvtqPvxG4tqre2jKfxq/v+vlW4BXAynTfhl4LfBB4XVVd3zCeGnBOaEZ/ph7A/YHzgRtmPXwd3SHo/1JVc7XlljQlkvyYbrXWPlV1ZT92d+ATwPpVtW3LfNPKQk2acEneA+wFHAh8rx/eHjgY+GxVvaZVNrXhnNCoft/iM6rqstZZNBz9VffncMulbp+vqqvbpVILfQ+Eh1XVqSPjDwF+WlWrtUk23SzUJkySzYAbZtrwJ3kC8Dy6y9TvqKoblvb7WvEkuYiuE+ixI+O7AR+tqvXaJFMrzglJy5JkG7qlbncFTu6HH0p39X23qjqxVTaNX5KfA/v15/TOHt8JeG9VbdEm2XRzj9rk+TjwPuC0JPcDjgK+Bbycbl3xP7aLpkbuAZw5x/iZwJpjzqJhcE7oVpLsCexE15BqpdmPVdVTm4RSS4fSnZf1/Kq6CiDJ6nSfMw4FHt4wm8bvn4APJDkI+FE/9ijgX4AD+603AFTVFeOPN528ojZhkvwB2LaqTk/y93SHXO+QZAfgE1W1QduEGrckPwJ+VlUvHxn/MLBVVT26TTK14pzQqP44l1cD3wQuYKTzX1U9v0UuteNSN82W5MZZd2feHzJyv7vjcR5j4xW1ybOAm1sp7wTMLG06E1i3SSK1dgBwbJKdueW3YPcGntQslVpyTmjU3wF7VdUXWgfRYPyK7j3h1JHx9YDTxx9HjT2hdQDdmlfUJkySHwLfAb5C16p/26o6OcmjgSOq6n5NA6qJJPemW/66ST+0CDikqi5ol0otOSc0W5KLgUdX1Rmts2gY+j2r7wTexC2/0Hk9XSOiH8w818OvpTYs1CZMkscC/023B+Wwqtq3Hz8Y2Liq9miZT5I0PEneAlxfVQe1zqJhWM6lbgHKpW7ToT/aZVPm3sd6XJNQU86ljxOmqr6T5C+BNUbaLP878KdGsdRYkvXoDqac3WL5I149mV7OCY1YE3hO3yn4F8AtztKrqlc2SaWWPPxaN0myI/BpuqWvo4pu643GzCtqEyLJylV13VIeXwnYoKrOGmMsDUD/wesouoMqZw6t3ZbuUPTd/RZs+jgnNKo/R21Jqqp2HFsYSYOT5FfAD4F/BX7HrRuIXNUi17SzUJsQSW4A1quqxf397wF7VtVv+/vrAhe4PGH6JFkEfB14Vc36C53k/cAuVbVps3BqwjkhaXnMceV9EfBhr7xPnyRX0nUFnutoFzWy0rKfooHIyP0tgVWW8RxNhw2Af6tbf+vyIeD+44+jAdgA54SkpeivvJ8J7Em3deJPwDOBM5Ls0jKbmjgWeGTrELol96itWLw8Op1+CmzOrdspbw6cNP44GgDnhG6lP29zL7olsCvPfsylj1PpA8BHmfvK+/vpmkpoerwE+EySrYFTuPU+1s81STXlLNSkyXcI8N4kD+KWLZZfBhyYZJuZJ1bViQ3yafycE7qFJPsAHwG+BDyebg/jxsCGwGeaBVNLG7DkK+8vGn8cNbYTsCPwZLrzemfPiwIs1Bpwj9qE6Peo3auqLu7vXwFsWVVn9/fdozalRlosL40tlqeEc0KjkpwCvK+qPtrvRdmyqs5K8m/AH6vqwMYRNWZJvks3J44cGd8D2K+qtmuTTC0kORc4EnhjVV3eOo86FmoTov/gdRU3f8Nxt5H7Ae7qh67pk2S59xxV1bl3ZhYNg3NCo5L8Cdisqs5J8ntgx6r6RZJNgG9V1b0aR9SYJdkLeDvdFfhbXXkHTpt5rlfeV3w2Exkmlz5Ojue3DqBh8oO2RjknNIdLgLv3t38LPJTuPLV1gNVahVJTn+1/vnUpj4FnaE2LL9ItfbRQGxALtQlRVYe1zqDh6pe+bgfck5FurlV1SJNQaso5oRHfBXYBTgaOAD7Qd/3bie4oB02fDVsH0KCcDrw1yXZ07xOjzUQ+0CTVlHPpozThkvwtXeeuAJcxsgG4qu7dJJiacU5oVJK1gVWr6oIkKwH/QFfInw78a1X9oWlASU0lOW8pD1dVrT+2MLqJhZo04foNwIcBb6qqP7fOo/acE5KWR5KFwLbMfWTDp5qEknQTCzVpwiW5DHhYVZ3VOouGwTmhUX3n4PWqavHI+DrAYhtRTZ++kcyX6ZZABriBbkvM9cC1VbVGw3iScI+atCL4LLAb8MHWQTQYzgmNyhLGV6E7M0nT533Az4CtgIv6n/cAPgy8vmEujVGSVy7P89yj1oZX1CZMkq2q6uetc2g4kqwM/Dfdh625NgC/qUUuteOc0Iwk+/U33wm8EfjjrIcXANsD96uqrcedTW0luQR4XFWdkuRyYNuqOi3J44APVtUWjSNqDJaxN22Ge9Qa8Yra5DkxyUl0jQI+56GEAl4C7Ar8HtiIkcYRgB/Kp49zQjP+X/8zwAvplrfNuA44B3jpmDNpGAL8qb99MXAfurPTzqd739AUqKr7tc6gJfOK2oRJ8iBgX2BvYC3gS8DHquqbTYOpmSSLgYOr6r2ts2gYnBMaleSbwNPt7qgZSb4DvLeqvpTkc3Rn6r0VeBGwhVfUpPZWWvZTNCRV9euq+ke6Dk3PAlYFjmWZPgAAEuRJREFUvprkzCSvS3LftgnVwALg6NYhNCjOCd0kyV2ATemumEgz3sLNexdfT/e54pt05+0t174lSXcur6hNuCSrAi8DDqZrrftnutPl96+q37bMpvFI8i7gCvcdaYZzQqP6fShPrKpTW2fRcPXn7V1WfjiUBsFCbUIl2ZZuCeSewBXAJ4CPA+vR7T9Zu6oe0S6hxiXJIcBzgF8Cv+DWjSP8ZnTKOCc0KskBwObA8z1bT5Img4XahOk7eD0f2Bg4hq6pyFer6sZZz7kvcE5V2SxmCvR7T5akqmrHsYXRIDgnNCrJl4HHAVcDpwBXzX68qp7aIpckacks1CZMkl8DHwM+UVW/W8JzVgb2qqrDxhpOkjRIST6xtMer6vnjyiJpeJJ8ge7L/6+59HU4LNQkSZKkKZbkcOCpdMe6fILugsDZbVPJQm0CJNlmeZ9bVSfemVk0HEk+sDzPcz/S9HBOaFmSPADYjO48vUVVdVbjSGokyfrAeaNXT5KE7hD037RJplaSrAX8Ld0Wmy2A79BdZTuyqq5tmW1aWahNgCQ30v2jmmU8tapqwRgiaQCWsQ9phvuRpohzQkuSZA26ZfN7ADN7mgMcCbygqq5slU1tJLkBWK+qFo+MrwMs9vPEdEuyFV3TuhfR7W39HPCBqjq9abApY7OJybBh6wAanqraoXUGDYtzQkvxfrpvyHcAftCPbQd8BHgf8IJGudRO6L4EHnU34JoxZ9GAJFmX7jy9XYAbgC/TNbH7ZZIDquq9LfNNE6+oSZK0gktyCbB7VX13ZPyxwJeqap02yTRus5ZIv5xuL9KfZj28ANgWuK6qtht3NrWTZAHw13RX0Xal6w77H8Bnq+qK/jlPBz5eVWs1CzplvKI2gZJsDrwEeCCwb1VdmGR34NyqOqltOknSAK0GXDLH+KXAqmPOorY2738G2BS4btZj1wEnAu8adyg1dwGwCvB54FFL6HnwLeCP4ww17byiNmGS7AIcDfwP8GRg06o6K8n+wPZVtXvTgJKkwUnydeAKYO+q+lM/tjrwKWCNqnpCy3wav/7IhlfNXC3RdEvyMuCwmfcHDYOF2oRJcgLdX6RDklwJbNkXag8DvlxV924cUZI0MEkeCnwNuCvwi354c7plb0+sql+2yqa2kqwKbES3X+3MqnJ/2pRJspCuYchWvhcMy0qtA+g2eyhw7BzjlwJrjzmLJGkCVNUpwIOAA4Cf9n8OAB7kB7PplGRhkncClwH/B5wMXJbkHUnu0jadxqmq/gz8BrdEDY7/QSbPpcB9gHNGxrcBzh97Gg1C36Fpb7p9i/9cVb9Psh1wgQdWTifnhEb1S5r+o3UODcY7gL2AlwLf68e2Bw6m+yL/NY1yqY23AAcn+duqurR1GHVc+jhhkryd7o30WcCpwMOB9YBP0p0i/6Z26dRCv+z1G8DZwEOATfrlsAcBG1fVc1rm0/g5JzSXJNsAr6Y78BpgEfDeJTQN0AouyUV0DcmOHRnfDfhoVa3XJplaSHIS3RLYuwDnAlfNfryqtmmRa9p5RW3yvJ6uKDuXrmPTqf3Pz9F9G6Lp8y7g/VX1hn7f4oyvAc9vlEltOSd0C0meS9c45HhuXj7/KODHSfapqs80C6dW7gGcOcf4mcCaY86i9r7SOoBuzStqEyrJA+iWO64EnFRVv24cSY0kuYJuA/BZIw1mNgB+VVW23p4yzgmNSnIOcGhVvXVk/B+Bl1TVBi1yqZ0kPwJ+VlUvHxn/MN37x6PbJJM0wytqEybJvwDvqqqzgLNmja8G/INLH6fS1cBch09uAiwecxYNg3NCo/4SOGKO8f8C/nnMWTQMBwDHJtkZ+FE/9ijg3sCTmqVSM0lWoftv/0C65a+X91/w/aGq/tAy27Sy6+PkeQNwtznG79o/pulzFPCG/g0WoPo31rcDR7YKpaacExr1TeDxc4w/Hvj2WJNoEKrqO8DGwBfoPlfcja5wf3BVfW9pv6sVT79S61TgE3T/VqzTP/RKusYzasCljxMmyY3AulV18cj4zsDnq+ov2yRTK0nWoNtzsgWwOnARsC7wfeDJVXXVUn5dKyDnhEYleTlwEF2hPvvqyTP68YtmnltVXxxzPEmNJfky3YqLl9Ad2TCzZP5xwMeqaqOmAaeUhdqE6PeZFN2Hrj/1t2csAFYFPjK61lzTI8mO3Lxv8cSq+t/GkdSYc0Iz+i/5lkdV1YI7NYyaSrJcZ67aon26JLkEeHRVnT7H3uZFVbVa04BTyj1qk+MVdN0dPw68Drh81mPXAedU1Q9bBNMwVNXxdB3dJMA5oZtVlVsdNOP33PLL3rkUfkacNqFrzT/qvtzyM6fGyCtqE6a/BP2Dqrq+dRYNQ99gZi4FXAOcAXy1qq4eXyqNW5L9lve5VfWeOzOLpOHqP0csya7Aq4A/V9UaY4qkAUhyOHB5Vb24v6K2BXAx3Z7n31SVR7s0YKE2YZa1ZMGlCtMnycnA+nTLYi/oh+9Nd1jlxcD96NadP67vFqoVUJKzl/OpVVUPuFPDaJCSbA3sANyTkWZiVXVAk1AahH5uvBPYHvh34M2je+G1YktyX+BbdKu0HgT8tP95KbB9Vf2uXbrpZaE2Yfp9Bkv8j+begumTZB/gb4F9qur8fuy+dMtkPwMcQ9eW+8qq2r1VTkntJDkAeBtwLvA7bvnvSFXVXzUJpqaSbAi8BXgm8EXgn6pqrkOwNQWSrA48l1l7m4FP24CqHQu1CTPHkoW7AFsDLwNeX1WfG38qtdRfSXlaVf1iZHwr4L+raoMkjwKOqqp1m4TUWCX5O+Dwqrp2ZHxl4NlV9ak2ydRKkguBg6rq31tnUXtJ1gH+BXgpXTfY11bVT9qmUgtJdrbR1HBZqK0gkuwBvLCqPKRyyiT5E/D4qvrxyPgjgW9W1V37b01/UVV3bxJSY5XkBmC9qlo8Mr4OsNgr79Mnye+A7arqjNZZ1FaS1wH/AJwDHFhVX22bSC31K7XOAT4GfLKqfts2kWazUFtBJHkg3Qfx1Vtn0XglOZpuH9qLgZ/1ww+j22dwXlU9LclTgX+tqi0axdQYLeW8xa2Bb1TVcrXn1oojyUHAXarqda2zqK3+/eFqukPQl3hsQ1U9dWyh1EySTYEX0G2hWAc4DvgocHRV3dAymyzUVghJ7gYcDDyhqjZpnUfjleSewKeAXYCZN9WV6N5sn1dVi5PsQPch7bhGMTUGfWOZAh4CnAb8edbDC4D7A8dW1bMaxFNDSUJ3CPq9gFOAW3QOrqp9W+TS+CX5JMtuz49d/qZLkoXAU4F9gScClwCHAR+vqtNaZptmFmoTZtbB1zcNAXel6/D33Kr6cpNgai7Jg4EH93d/VVWnt8yj8Uvyhv7mG4B3A3+c9fB1dMtbjqyq68YcTY0leSvwWrrmAKPNRKiqv26RS9LwJLk3sA/wfOABwPer6rFNQ00pC7UJ03f4m/0f7Ua6FuwnVNVlTUJJGpQkzwP+c7SZiKZXkj8AL6mqw1tnkTR8SdYE9gYOAtZ0b3MbFmrSCiDJxsDf0J2ntvLsx1zSNH2SnAU8oqouGRlfEzjRc9SmT9/18XFeaZe0NEl2plv+uDtwDfB54KNVdVLTYFNqYesAWrZlHXI9mwdeT58kuwFHAifRNRH5CfBAYBXguw2jqZ0N6PakjVoFuM94o2gg3gu8OsnLy29oJc2SZH26ZY770O1l/jZdg7IvVNU1DaNNPQu1yfB7lr3xN/1zvDQ9fd4EvLGqDu73MO4NXAB8Gvhh02QaqyTPmHV3tySXz7q/ANiJbp+aps/2wGPp5sWp3LqZiB3+pCmU5H+BxwOL6ZqHfMxjPIbDQm0y7NA6gAbtwcDMvpPrgbtW1TVJ3gQcA7ynWTKN2xf6n0V3Js5s19MVafuPM5AG4/fAF1uHkDQ4VwHPAI6xHf/wWKhNgKr6dusMGrQrgVX72xcCG9G1314IrNUqlMavqlYCSHI23R613zeOpIGw1bqkuVTV01pn0JJZqE2gJKsAzwU2o/vm/JfA5+3wNrVOAB4DnEp3Be3dSbYEno5LH6dSVW3YOoMkSbpj7Po4YZJsBnwVWAM4uR/eHLgc2LWqFrXKpjaSPAC4W1X9Isld6c7P2g44Hdivqn7TNKDGIsl+wCH9stf9lvbcqnI57JRIcvTyPM89apI0PBZqEybJ14E/AXtX1RX92BrAZ4BVquqJLfNpvJIsBHahO0fvkmU9Xyuufrnjw6vqkv72kpTt+adHkk8sz/NcGilJw2OhNmGS/Ilu78kvR8Y3B35UVau3SaZWklwDbFJV57TOIkmSpPmxUusAus2uAdacY/we/WOaPv9H10BEWqok909yROsckiRp2SzUJs+Xgf9Isl2SBf2fxwD/DizXXgStcA6iayCye5L7JVl79p/W4TQoawJ7tA4hSZKWzaWPEybJmnQHEv41MHPexUp0Rdo+VXX5kn5XK6YkN866O/svdOj2I3kIugDou4Ge6JyQJGn4bM8/YarqD8DTkmwEbNoPL/IU+anmgeiSJEkrGK+orQD6ou38qnKPmqQl8ora9EqyPnBejfyjnyTA/TzGQ5KGxytqEybJW4HTquqw/h/Y44CdgMuT7FpVJ7RNqBb6rp8vAR4I7FtVFybZHTi3qk5qm07jshxnZq0xliAaorOB9YDFI+Nr949ZvEvSwNhMZPI8Fzitv/0kYCvgUcCngLe1CqV2kuwC/AS4D7AjsFr/0AOBN7TKpSYuWcafs+neKzR9wi33sM64G3YMlqRB8ora5FkXOL+//WTgiKr6cZJLgZ+2i6WG3gzsV1WHJLly1vi3gP3bRFILHlqsUUk+0N8s4OD+LM4ZC4BtgZ+PPZgkaZks1CbPJcD96Yq1XYAD+/GFdN+Yavo8FDh2jvFL6ZY1SZpem/c/Q9eA6rpZj10HnAi8a9yhJEnLZqE2eY4EPpfkdLoP4V/rx7cC7Pw4nS6lW/Z4zsj4Ntx89VXSFKqqHQCSfAJ4VVVd0TiSJGk5WahNnv2Ac4H1gQOq6qp+fD3gw81SqaXPAe9M8iy65U0LkzyO7lvyTzRNJmkQZpbFJlkV2IjuveJMuwVL0nDZnl+acEnuAnwSeDbd8qYb+5+fozsE/YYl/7akaZBkIXAw8ApgZbr3iGuBDwKvq6rrG8aTJM3BQm0CJVkPeBmwWT+0CDikqi5sl0qtJXkgsDVdN9eTqurXjSNJGogk7wH2otvX/L1+eHu64u2zVfWaVtkkSXOzUJswSZ4AHAWcB8ycmbYt3VLI3avquFbZ1EZ/XtoxfiMuaUmSXER3xuKxI+O7AR+tqvXaJJMkLYmF2oRJsgj4Ot2m8Jo1/n5gl6ratFk4NdG3274a+C/g01X1/caRJA1MkquBrarqtJHxTeiuwK82929KklrxwOvJswHwb3XrCvtDdG37NX3WBV5Dd8D1t5OcleRf+w9gkgTwf8Ar5xh/FZ6jJkmD5BW1CZPku8D7qurIkfE96A493q5NMg1BknvTNRV5Dt1+tROr6hFtU0lqLclj6c5b/C3wo374UcC9gSdV1feW9LuSpDYs1CZAkm1m3X0w8HbgEG75j+3LgAOr6vNjjqeBSbIy8NfA64EtqmpB40iSBqD/IuflwMzV9plGVBe0SyVJWhILtQmQ5Ea6M2+yjKeWH8qnV5IdgOcCe/RDXwQ+U1XfbJdKkiRJt4cHXk+GDVsH0HAleSfdcsd7Al8FXgwcXVXXNg0mqbkkay/P86rq0js7iyTptvGK2gokyc5V9b+tc2i8knwf+AxwuB+2JM02a0XG0lRV+cWtJA2MhdqES3If4PnAvsD9Xfqo2SzepemW5HFLeXhXuq6Pf66qNcYUSZK0nCzUJlCSBcDTgBcAuwC/AA4H/quqzm6ZTe1ZvEtamiRbA+8Etgf+HXhzVV3cNpUkaZTnqE2QJA/u9yNdALwLOKl/aO+qeodF2vRKsiDJM5IcA5wDPB34CLBR02CSBiPJhkk+B/wYuATYrKpeaZEmScNkoTYh+vPTfgSsBTyrqh5QVa9vHEuNWbxLWpYk6yR5P/Ar4F7AX1XVnlV1ZuNokqSlsFCbHI8GPgW8t6q+3TqM2rN4l7QsSV4HnAk8DnhaVe1YVT9pHEuStBzcozYh+j0FLwSeQ7e07VPA54HzgC2r6tR26dRCkj8DHwIOrapfzhq/HueEJG7q+ng18E3gxiU9r6qeOrZQkqTl4hW1CVFVJ1XVy4H1gPcAT6Ur0lYCdkuyVst8auIRdGchfi/JSUn+Psm9WoeSNCifAo4ALqbbl7akP5KkgfGK2gRLshHdVba/A9YBjq+qJ7VNpXFLsirwTLouj4+hK94PBD5aVZe1zCZJkqTbx0JtBdC3638KsG9VPa11HrVj8S5JkrRisFCTVkAW75IkSZPNQk2SJEmSBsZmIpIkSZI0MBZqkiRJkjQwFmqSJEmSNDAWapIkSZI0MBZqkiRJkjQw/z9v+dVvGM9jxwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.loc[:, 'What is your opinion on sharing metadata regarding all the steps and plans? [Laboratory Protocols]':'What is your opinion on sharing metadata regarding all the steps and plans? [Quality Control Methods]']\n",
    "column_array=['Laboratory Protocols', 'Methods', 'Activities/Steps', 'Order of Activities/Steps', 'Validation Methods', 'Quality Control Methods']\n",
    "df1.columns = column_array\n",
    "title='What is your opinion on sharing metadata regarding all the steps and plans?'\n",
    "draw_bar_chart_mul_col(column_array, title, df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### What is your opinion on sharing the intermediate and final results of each trial of your experiments?"
     }
    ]
   },
   "source": [
    "### What is your opinion on sharing the intermediate and final results of each trial of your experiments?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:10.293212Z",
     "start_time": "2020-05-28T12:20:09.938955Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:10.293Z",
      "execution_time": "355ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = df.loc[:, 'What is your opinion on sharing the intermediate and final results of each trial of your experiments? [Final Results]':'What is your opinion on sharing the intermediate and final results of each trial of your experiments? [Intermediate Results]']\ncolumn_array=['Final Results', 'Intermediate Results']\ndf1.columns = column_array\ntitle='What is your opinion on sharing the intermediate and final results of each trial of your experiments?'\ndraw_bar_chart_mul_col(column_array, title, df1)",
      "start_time": "2020-05-28T12:20:09.938Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.loc[:, 'What is your opinion on sharing the intermediate and final results of each trial of your experiments? [Final Results]':'What is your opinion on sharing the intermediate and final results of each trial of your experiments? [Intermediate Results]']\n",
    "column_array=['Final Results', 'Intermediate Results']\n",
    "df1.columns = column_array\n",
    "title='What is your opinion on sharing the intermediate and final results of each trial of your experiments?'\n",
    "draw_bar_chart_mul_col(column_array, title, df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Comments provided by the participants on the other things that should be shared when publishing experimental results."
     }
    ]
   },
   "source": [
    "### Comments provided by the participants on the other things that should be shared when publishing experimental results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:10.307220Z",
     "start_time": "2020-05-28T12:20:10.297920Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:10.307Z",
      "execution_time": "10ms",
      "outputs": [
       {
        "data": {
         "text/plain": "A permanent ID for data with correpsonding license                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   1\nsupplementary results or negative results which might not be important for the published story may also be shared.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   1\nPlatforms should provide easy access                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 1\ndata owner (contact)\\nproperty right\\n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               1\nMetadata in a standardised format;\\nLicense for data reuse\\n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         1\nThe minimum information standards of the respective domains are a good starting point. I am generally in favor of open notebook science which aims to be totally open about everything as soon as the data, planning, etc is done.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   1\nfactors that negatively influence the outcome / working of an experiment                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             1\nhidden parameters for data processing and reasoning for specific choices made for methods, steps, parameters                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         1\nThe current academic rewarding system is pushing people into coming up with a nice story which unfortunately is encouraging people to publish their results without properly validating, hiding their negative data, adjusting statistical tests in a way that shows a significant difference and so on. The whole system is broken and has to change. \\n\\nPre-registration of experimental plans, openly sharing lab notebooks, sharing all versions of the manuscripts along with reviewer's comments and answers to those comments, seperately publishing underlying datasets, codes and methods and therefore not forcing, polishing and hiding data to make a nice story but being open and transparent from the beginning and sharing all elements of research as individual items. To incentivize all these, promotion and hiring criteria should not only look for high impact journal publications but rather these type of efforts.\\n\\nResearchers typically spent the least effort to explain their materials and methods while that is one of the most important elements for research reproducibility. Dedicated methods repositories that archive not only the experimental procedures and parameters such as protocols.io but also videos of the procedures performed by the researchers would help enormously. \\n    1\nProtocols used in the study with versions/adjustments made                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           1\nEthics approval, the systematic review conducted before and alongside the study, the limitations, the contact people in project with long-term access.\\nEverything should be shared in an structured findable, accessible, inter-operable, and reusable format (following FAIR guidelines).                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          1\nComputational environment needs to be fully specified, including OS and any software dependencies                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    1\nURL/DOI Links to data in curated repositories; data availability statement                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           1\nName: Please let us know what else should be shared when publishing experimental results., dtype: int64"
        },
        "execution_count": 27,
        "metadata": {},
        "output_type": "execute_result"
       }
      ],
      "source": "df['Please let us know what else should be shared when publishing experimental results.'].value_counts()",
      "start_time": "2020-05-28T12:20:10.297Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "A permanent ID for data with correpsonding license                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   1\n",
       "supplementary results or negative results which might not be important for the published story may also be shared.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   1\n",
       "Platforms should provide easy access                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 1\n",
       "data owner (contact)\\nproperty right\\n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               1\n",
       "Metadata in a standardised format;\\nLicense for data reuse\\n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         1\n",
       "The minimum information standards of the respective domains are a good starting point. I am generally in favor of open notebook science which aims to be totally open about everything as soon as the data, planning, etc is done.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   1\n",
       "factors that negatively influence the outcome / working of an experiment                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             1\n",
       "hidden parameters for data processing and reasoning for specific choices made for methods, steps, parameters                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         1\n",
       "The current academic rewarding system is pushing people into coming up with a nice story which unfortunately is encouraging people to publish their results without properly validating, hiding their negative data, adjusting statistical tests in a way that shows a significant difference and so on. The whole system is broken and has to change. \\n\\nPre-registration of experimental plans, openly sharing lab notebooks, sharing all versions of the manuscripts along with reviewer's comments and answers to those comments, seperately publishing underlying datasets, codes and methods and therefore not forcing, polishing and hiding data to make a nice story but being open and transparent from the beginning and sharing all elements of research as individual items. To incentivize all these, promotion and hiring criteria should not only look for high impact journal publications but rather these type of efforts.\\n\\nResearchers typically spent the least effort to explain their materials and methods while that is one of the most important elements for research reproducibility. Dedicated methods repositories that archive not only the experimental procedures and parameters such as protocols.io but also videos of the procedures performed by the researchers would help enormously. \\n    1\n",
       "Protocols used in the study with versions/adjustments made                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           1\n",
       "Ethics approval, the systematic review conducted before and alongside the study, the limitations, the contact people in project with long-term access.\\nEverything should be shared in an structured findable, accessible, inter-operable, and reusable format (following FAIR guidelines).                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          1\n",
       "Computational environment needs to be fully specified, including OS and any software dependencies                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    1\n",
       "URL/DOI Links to data in curated repositories; data availability statement                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           1\n",
       "Name: Please let us know what else should be shared when publishing experimental results., dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Please let us know what else should be shared when publishing experimental results.'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "## Experiment workflows and research practices followed in different disciplines."
     }
    ]
   },
   "source": [
    "## Experiment workflows and research practices followed in different disciplines."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### What kind of data do you work primarily with?"
     }
    ]
   },
   "source": [
    "### What kind of data do you work primarily with?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:10.732508Z",
     "start_time": "2020-05-28T12:20:10.315756Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:10.732Z",
      "execution_time": "417ms",
      "outputs": [
       {
        "data": {
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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = df.loc[:, 'What kind of data do you work primarily with? [Images]':'What kind of data do you work primarily with? [Tabular]']\ncolumn_array=['Images', 'Multimedia files (Video, Audio)', 'Measurement Data', 'Graphs', 'Tabular']\ndf1.columns = column_array\ntitle='What kind of data do you work primarily with?'\ndraw_bar_chart_mul_col(column_array, title, df1)",
      "start_time": "2020-05-28T12:20:10.315Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.loc[:, 'What kind of data do you work primarily with? [Images]':'What kind of data do you work primarily with? [Tabular]']\n",
    "column_array=['Images', 'Multimedia files (Video, Audio)', 'Measurement Data', 'Graphs', 'Tabular']\n",
    "df1.columns = column_array\n",
    "title='What kind of data do you work primarily with?'\n",
    "draw_bar_chart_mul_col(column_array, title, df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### What kind of other data do you work primarily with?"
     }
    ]
   },
   "source": [
    "### What kind of other data do you work primarily with?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:10.754522Z",
     "start_time": "2020-05-28T12:20:10.736644Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:10.754Z",
      "execution_time": "18ms",
      "outputs": [
       {
        "data": {
         "text/plain": "Text                               2\nword files                         1\nNumbers, a lot of numbers          1\ncode, scripts, metadata            1\nText data                          1\nmolecular data, notes/textfiles    1\ncode                               1\nModel output                       1\ncsv, strucutured data              1\ngeo-data                           1\nName: What kind of data do you work primarily with? [Other], dtype: int64"
        },
        "execution_count": 29,
        "metadata": {},
        "output_type": "execute_result"
       }
      ],
      "source": "df['What kind of data do you work primarily with? [Other]'].value_counts()",
      "start_time": "2020-05-28T12:20:10.736Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text                               2\n",
       "word files                         1\n",
       "Numbers, a lot of numbers          1\n",
       "code, scripts, metadata            1\n",
       "Text data                          1\n",
       "molecular data, notes/textfiles    1\n",
       "code                               1\n",
       "Model output                       1\n",
       "csv, strucutured data              1\n",
       "geo-data                           1\n",
       "Name: What kind of data do you work primarily with? [Other], dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['What kind of data do you work primarily with? [Other]'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Where do you store your experimental data files?"
     }
    ]
   },
   "source": [
    "### Where do you store your experimental data files?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:11.215839Z",
     "start_time": "2020-05-28T12:20:10.758944Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:11.215Z",
      "execution_time": "457ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = df.loc[:, 'Where do you store your experimental data files? [Personal Devices (eg. Computer)]':'Where do you store your experimental data files? [Data Management Platforms]']\ncolumn_array=['Personal Devices (eg. Computer)', 'Local Server provided at your workplace', 'Removable Storage Device (eg. USB, Harddisk, CD Drive)', 'Version Controlled Repositories (eg. Github, GitLab, Figshare, Zenodo etc.)', 'Data Management Platforms']\ndf1.columns = column_array\ntitle='Where do you store your experimental data files?'\ndraw_bar_chart_mul_col(column_array, title, df1)",
      "start_time": "2020-05-28T12:20:10.758Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.loc[:, 'Where do you store your experimental data files? [Personal Devices (eg. Computer)]':'Where do you store your experimental data files? [Data Management Platforms]']\n",
    "column_array=['Personal Devices (eg. Computer)', 'Local Server provided at your workplace', 'Removable Storage Device (eg. USB, Harddisk, CD Drive)', 'Version Controlled Repositories (eg. Github, GitLab, Figshare, Zenodo etc.)', 'Data Management Platforms']\n",
    "df1.columns = column_array\n",
    "title='Where do you store your experimental data files?'\n",
    "draw_bar_chart_mul_col(column_array, title, df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:11.234080Z",
     "start_time": "2020-05-28T12:20:11.219997Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:11.234Z",
      "execution_time": "15ms",
      "outputs": [
       {
        "data": {
         "text/plain": "Cloud storage (eg. Google Drive, DropBox, etc.)    1\nCloud storage (dropbox)                            1\nDropbox                                            1\ninstitution's repository                           1\nas a data manager I don't have own ones            1\npublic databases like Metabolights                 1\nName: Where do you store your experimental data files? [Other], dtype: int64"
        },
        "execution_count": 31,
        "metadata": {},
        "output_type": "execute_result"
       }
      ],
      "source": "# Which are the other places where the participants store their experimental data files?\ndf['Where do you store your experimental data files? [Other]'].value_counts()",
      "start_time": "2020-05-28T12:20:11.219Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Cloud storage (eg. Google Drive, DropBox, etc.)    1\n",
       "Cloud storage (dropbox)                            1\n",
       "Dropbox                                            1\n",
       "institution's repository                           1\n",
       "as a data manager I don't have own ones            1\n",
       "public databases like Metabolights                 1\n",
       "Name: Where do you store your experimental data files? [Other], dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Which are the other places where the participants store their experimental data files?\n",
    "df['Where do you store your experimental data files? [Other]'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Where do you save your experimental metadata like descriptions of experiment, methods, samples used?"
     }
    ]
   },
   "source": [
    "### Where do you save your experimental metadata like descriptions of experiment, methods, samples used?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:11.562970Z",
     "start_time": "2020-05-28T12:20:11.237819Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:11.562Z",
      "execution_time": "325ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = df.loc[:, 'Where do you save your experimental metadata like descriptions of experiment, methods, samples used? [Hand written Lab Notebooks]':'Where do you save your experimental metadata like descriptions of experiment, methods, samples used? [Data Management Platforms]']\ncolumn_array=['Hand written Lab Notebooks', 'Electronic Notebooks', 'Scientific Data Management Platforms']\ndf1.columns = column_array\ntitle='Where do you save your experimental metadata like descriptions of experiment, methods, samples used?'\ndraw_bar_chart_mul_col(column_array, title, df1)",
      "start_time": "2020-05-28T12:20:11.237Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.loc[:, 'Where do you save your experimental metadata like descriptions of experiment, methods, samples used? [Hand written Lab Notebooks]':'Where do you save your experimental metadata like descriptions of experiment, methods, samples used? [Data Management Platforms]']\n",
    "column_array=['Hand written Lab Notebooks', 'Electronic Notebooks', 'Scientific Data Management Platforms']\n",
    "df1.columns = column_array\n",
    "title='Where do you save your experimental metadata like descriptions of experiment, methods, samples used?'\n",
    "draw_bar_chart_mul_col(column_array, title, df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Do you write scripts or program to perform data analysis at any stage in your experimental workflow?"
     }
    ]
   },
   "source": [
    "### Do you write scripts or program to perform data analysis at any stage in your experimental workflow?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:11.798785Z",
     "start_time": "2020-05-28T12:20:11.567106Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:11.798Z",
      "execution_time": "231ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 504x504 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "title = 'Do you write scripts or program to perform data analysis at any stage in your experimental workflow?'\ndraw_pie_chart(title)",
      "start_time": "2020-05-28T12:20:11.567Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'Do you write scripts or program to perform data analysis at any stage in your experimental workflow?'\n",
    "draw_pie_chart(title)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Have you heard about the FAIR (Findable, Accessible, Interoperable, Reusable) principles?"
     }
    ]
   },
   "source": [
    "### Have you heard about the FAIR (Findable, Accessible, Interoperable, Reusable) principles?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:11.944110Z",
     "start_time": "2020-05-28T12:20:11.803715Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:11.944Z",
      "execution_time": "141ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 504x504 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "title = 'Have you heard about the FAIR (Findable, Accessible, Interoperable, Reusable) principles?'\ndraw_pie_chart(title)",
      "start_time": "2020-05-28T12:20:11.803Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'Have you heard about the FAIR (Findable, Accessible, Interoperable, Reusable) principles?'\n",
    "draw_pie_chart(title)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Does your research follow the FAIR data principles?"
     }
    ]
   },
   "source": [
    "### Does your research follow the FAIR data principles?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:12.299040Z",
     "start_time": "2020-05-28T12:20:11.954856Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:12.299Z",
      "execution_time": "345ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = df.loc[:, 'Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Findable]':'Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Reusable]']\ncolumn_array=['Findable', 'Accessible', 'Interoperable', 'Reusable']\ndf1.columns = column_array\ntitle='Does your research follow the FAIR principles?'\ndraw_bar_chart_mul_col(column_array, title, df1)",
      "start_time": "2020-05-28T12:20:11.954Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df.loc[:, 'Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Findable]':'Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Reusable]']\n",
    "column_array=['Findable', 'Accessible', 'Interoperable', 'Reusable']\n",
    "df1.columns = column_array\n",
    "title='Does your research follow the FAIR principles?'\n",
    "draw_bar_chart_mul_col(column_array, title, df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Comments provided by the participants regarding what they think is important to enable understandability and reproducibility of scientific experiments in their field of research"
     }
    ]
   },
   "source": [
    "### Comments provided by the participants regarding what they think is important to enable understandability and reproducibility of scientific experiments in their field of research"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:12.312205Z",
     "start_time": "2020-05-28T12:20:12.303201Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:12.312Z",
      "execution_time": "9ms",
      "outputs": [
       {
        "data": {
         "text/plain": "The bottleneck for experimental scientists is that FAIR data sharing comes on top of everything else they have to do to generate and analyse the data. They are usually not experts in data handling/storage. The platforms we share our data on are often made by IT experts that do not realize that 'their language' and expertise is not immediately clear to biologists. It thus costs a lot of extra time and energy for experimental biologists to share their data. Moreover, there is still a feeling among my lab scientists that it is unfair that they are forced to share data, but that the one taking the data and doing synthesis projects (yielding high IF papers) never have to go in the lab and do the hard work of getting the data. We discussed this very often. Getting credits for sharing data does not sufficiently resolve this issue for them.    1\nInternationally accepted metadata schemata covering all disciplines\\nControlled vocabularies covering most of the metadata fields\\nAn agreement on file formats                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 1\nIt is really important (in the case of hand- written notes) the scientists explains all the abbreviations used in her/ his lab books. It is also very important to keep the same structure of storing the experimental details/ steps (dates, treatments, titles).                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              1\nData sharing among other lab members is important to understand the reproducibility of the experiments.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         1\nFollow community/domain conventions. Eg when scripting in a particular language, follow software engineering conventions of that particular language to package up code.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        1\nAs a data manager I cannot really answer questions about the quality of my data, as I manage data of others and don't have own research data. I also cannot say where that data is saved as it always depends on the customer.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  1\nI think it should be a criteria for research funders to allocate funding for reproducibility of each research and make it a mandatory criteria.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 1\nName: Please feel free to provide comments regarding what you think is important to enable understandability and reproducibility of scientific experiments in your field of research., dtype: int64"
        },
        "execution_count": 36,
        "metadata": {},
        "output_type": "execute_result"
       }
      ],
      "source": "df['Please feel free to provide comments regarding what you think is important to enable understandability and reproducibility of scientific experiments in your field of research.'].value_counts()",
      "start_time": "2020-05-28T12:20:12.303Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "The bottleneck for experimental scientists is that FAIR data sharing comes on top of everything else they have to do to generate and analyse the data. They are usually not experts in data handling/storage. The platforms we share our data on are often made by IT experts that do not realize that 'their language' and expertise is not immediately clear to biologists. It thus costs a lot of extra time and energy for experimental biologists to share their data. Moreover, there is still a feeling among my lab scientists that it is unfair that they are forced to share data, but that the one taking the data and doing synthesis projects (yielding high IF papers) never have to go in the lab and do the hard work of getting the data. We discussed this very often. Getting credits for sharing data does not sufficiently resolve this issue for them.    1\n",
       "Internationally accepted metadata schemata covering all disciplines\\nControlled vocabularies covering most of the metadata fields\\nAn agreement on file formats                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 1\n",
       "It is really important (in the case of hand- written notes) the scientists explains all the abbreviations used in her/ his lab books. It is also very important to keep the same structure of storing the experimental details/ steps (dates, treatments, titles).                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              1\n",
       "Data sharing among other lab members is important to understand the reproducibility of the experiments.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         1\n",
       "Follow community/domain conventions. Eg when scripting in a particular language, follow software engineering conventions of that particular language to package up code.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        1\n",
       "As a data manager I cannot really answer questions about the quality of my data, as I manage data of others and don't have own research data. I also cannot say where that data is saved as it always depends on the customer.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  1\n",
       "I think it should be a criteria for research funders to allocate funding for reproducibility of each research and make it a mandatory criteria.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 1\n",
       "Name: Please feel free to provide comments regarding what you think is important to enable understandability and reproducibility of scientific experiments in your field of research., dtype: int64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Please feel free to provide comments regarding what you think is important to enable understandability and reproducibility of scientific experiments in your field of research.'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "## Detailed Analysis of Survey"
     }
    ]
   },
   "source": [
    "## Detailed Analysis of Survey"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:12.334449Z",
     "start_time": "2020-05-28T12:20:12.317177Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:12.334Z",
      "execution_time": "17ms",
      "outputs": [],
      "source": "# yes_crisis are the participants who think there is a reproducibility crisis\nyes_crisis = df[df['Do you think there is a reproducibility crisis in your field of research?'] == 'Yes']\n# no_crisis are the participants who think there is no reproducibility crisis\nno_crisis = df[df['Do you think there is a reproducibility crisis in your field of research?'] == 'No']\n# other_crisis are the participants who selected 'Other'\nother_crisis = df[df['Do you think there is a reproducibility crisis in your field of research?'] == 'Other']",
      "start_time": "2020-05-28T12:20:12.317Z"
     }
    ]
   },
   "outputs": [],
   "source": [
    "# yes_crisis are the participants who think there is a reproducibility crisis\n",
    "yes_crisis = df[df['Do you think there is a reproducibility crisis in your field of research?'] == 'Yes']\n",
    "# no_crisis are the participants who think there is no reproducibility crisis\n",
    "no_crisis = df[df['Do you think there is a reproducibility crisis in your field of research?'] == 'No']\n",
    "# other_crisis are the participants who selected 'Other'\n",
    "other_crisis = df[df['Do you think there is a reproducibility crisis in your field of research?'] == 'Other']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Current position of participants who think there is a reproducibility crisis"
     }
    ]
   },
   "source": [
    "### Current position of participants who think there is a reproducibility crisis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:12.803867Z",
     "start_time": "2020-05-28T12:20:12.339413Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:12.803Z",
      "execution_time": "464ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x504 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "title = 'What is your current position?'\ndraw_bar_chart(title, df=yes_crisis)",
      "start_time": "2020-05-28T12:20:12.339Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'What is your current position?'\n",
    "draw_bar_chart(title, df=yes_crisis)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Current position of participants who think there is no reproducibility crisis"
     }
    ]
   },
   "source": [
    "### Current position of participants who think there is no reproducibility crisis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:13.089524Z",
     "start_time": "2020-05-28T12:20:12.811606Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:13.089Z",
      "execution_time": "278ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x504 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "title = 'What is your current position?'\ndraw_bar_chart(title, df=no_crisis)",
      "start_time": "2020-05-28T12:20:12.811Z"
     }
    ],
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'What is your current position?'\n",
    "draw_bar_chart(title, df=no_crisis)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### The primary area of study of participants who think there is a reproducibility crisis"
     }
    ]
   },
   "source": [
    "### The primary area of study of participants who think there is a reproducibility crisis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:13.386663Z",
     "start_time": "2020-05-28T12:20:13.095371Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:13.386Z",
      "execution_time": "291ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x504 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "title = 'What is your primary area of study?'\ndraw_bar_chart(title, df=yes_crisis)",
      "start_time": "2020-05-28T12:20:13.095Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Fx8fr2LFjevPNNzVv3jxNmzbthH5+9NFHeumll5SVlSUpMOV8TEyMZs2apcTERGVkZIQ1ugYAAADg3BbRoDVz5kxJOuGZqMcff1xjx45VTEyMPvzwQz3//PP617/+pTp16iglJUWrV69WUlJSqP3evXuLbJ+fn68HHnhAn376qWJiYtS0aVM99dRTRSasyMnJ0bBhw/TZZ5+FPtT4hRde0C233FJkX845DRkyRL/97W9VrVo1SdJFF12kefPmacSIEcrOztbDDz+sdu3aea0NAAAAgPIrKp7RAgAAAIByonw8owUAAAAA5xqCFgAAAAB4RtACAAAAAM8IWgAAAADgWcRmHaw3ZFWkDl2qA2ldIt0FAAAAAOUcI1oAAAAA4BlBCwAAAAA8I2gBAAAAgGcELQAAAADwjKAFAAAAAJ4RtAAAAADAM4IWAAAAAHhG0AIAAAAAzwhaAAAAAOAZQQsAAAAAPCNolSMTJ05USkqKqlevrrp166pnz57asmVLkTavv/66UlNTVbduXZmZVq5cWaZ95+bm6rHHHlOTJk0UGxurSy+9VFOnTg2tv/rqq2VmJ3wlJiaG2qxYsULNmjVT9erV1a9fP+Xm5obW5eTkKCEh4YT+AgAAAOciglY5snLlSg0fPlzr1q1TZmamYmJi1K1bNx06dCjU5ptvvlGHDh309NNPh7Xvvn37atmyZUpLS9P27dv16quvKikpKbT+9ddf1759+0Jfn376qapVq6Y+ffpIkgoKCnTrrbfqrrvu0rvvvqsNGzYoLS0ttP0jjzyivn37qnXr1qdZBQAAACD6xUS6Ayi7t956q8jP8+bNU40aNbR27Vr17NlTktSvXz9J0sGDB8u83+XLlysjI0O7du3SxRdfLElq3LhxkTa1a9cu8vNLL72kI0eOaODAgaHjHTx4UMOHD1elSpV04403auvWrZKk9evXa/ny5crKyir7yQIAAADlGCNa5djhw4dVUFCgWrVqndZ+Fi9erJSUFD399NNq2LChEhISdM899ygnJ+ek26Snp+u6667TJZdcIkmqW7eu4uLitHz5ch05ckTvvPOOkpKSlJeXpyFDhmjWrFmKjY09rX4CAAAA5QVBqxwbOXKk2rZtq6uuuuq09rN7926tWbNGmzdv1muvvabp06dr2bJlGjBgQIntd+zYoVWrVmnw4MGhZWamhQsXavz48UpMTFRycrIGDhyo3/zmN0pJSVG9evXUuXNnJSQkaOzYsafVXwAAACDacetgOXXvvfdqzZo1WrNmjS644ILT2ldBQYHMTC+//LJq1KghSZo+fbpSU1P1xRdfqH79+kXap6enKy4uTtdff32R5Z06ddL7778f+nnnzp1KT0/Xxo0b1a1bNw0bNkx9+vRRSkqKUlJSTtgeAAAAOFcwolUOjRo1SvPnz1dmZqbi4+NPe39xcXFq0KBBKGRJUsuWLSVJe/fuLdI2NzdXc+fO1R133KGYmNJz+tChQzVp0iRVqFBBH3zwgfr27atq1aqpZ8+eyszMPO1+AwAAANGKoFXOjBw5MhSyWrRo4WWfHTt21Oeff17kmawdO3ZIkho1alSk7eLFi3Xw4EHdeeedpe5z9uzZqlKlinr37q2CggJJ0nfffScpENby8/O99B0AAACIRgStcmTEiBGaPXu2Xn75ZdWqVUv79+/X/v37iwSkQ4cOadOmTaHPq9q5c6c2bdqk/fv3h9r0799f/fv3D/186623qk6dOrrjjjv04Ycfau3atRo5cqRuvvlm1atXr0gf0tLS1LVr11JH0g4cOKBx48Zp5syZkqSaNWsqMTFRU6ZMUVZWlhYtWqROnTp5qQkAAAAQjQha5cjMmTN1+PBhde3aVXFxcaGvyZMnh9r88Y9/VHJysq655hpJ0uDBg5WcnKxZs2aF2uzdu7fILYFVq1bV22+/rezsbKWkpKhPnz7q0qWLnn/++SLH3717tzIzM4tMglGSkSNHavTo0WrYsGFo2dy5c7V48WJdc8016tWrl3r16nVatQAAAACimTnnwmkfVuPS1BuyyteuvDqQ1iXSXQAAAAAQvawsjRjRAgAAAADPCFoAAAAA4BlBCwAAAAA8I2gBAAAAgGelf+IsogaThwAAAADlByNaAAAAAOAZQQsAAAAAPCNoAQAAAIBnBC0AAAAA8IygBQAAAACeEbQAAAAAwDOCFgAAAAB4RtACAAAAAM8IWgAAAADgGUELAAAAADwjaAEAAACAZwQtAAAAAPCMoAUAAAAAnhG0AAAAAMAzghYAAAAAeEbQAgAAAADPCFoAAAAA4BlBCwAAAAA8I2gBAAAAgGcELQAAAADwjKAFAAAAAJ4RtAAAAADAM4IWAAAAAHhG0AIAAAAAzwhaAAAAAOAZQQsAAAAAPCNoAQAAAIBnBC0AAAAA8IygBQAAAACeEbQAAAAAwDOCFgAAAAB4RtACAAAAAM8IWgAAAADgGUELAAAAADwjaAEAAACAZwQtAAAAAPCMoAUAAAAAnhG0AAAAAMAzghYAAAAAeEbQAgAAAADPCFoAAAAA4BlBCwAAAAA8I2gBAAAAgGcELQAAAADwjKAFAAAAAJ4RtAAAAADAM4IWAAAAAHhG0AIAAAAAzwhaAAAAAOAZQQsAAAAAPCNoAQAAAIBnBC0AAAAA8IygBQAAAACeEbQAAAAAwDOCFgAAAAB4RtACAAAAAM8IWgAAAADgGUELAAAAADwjaAEAAACAZwQtAAAAAPCMoAUAAAAAnhG0AAAAAMAzghbOWatXr9aNN96oBg0ayMw0Z86cE9rs2LFDN910k2rWrKnKlSvr8ssv19atW0vdb25urh577DE1adJEsbGxuvTSSzV16tTQ+quvvlpmdsJXYmJiqM2KFSvUrFkzVa9eXf369VNubm5oXU5OjhISErRly5bTLwIAAAAiIibSHQDOlJycHLVu3Vr9+/dX//79T1j/ySefqGPHjurfv78yMzNVs2ZNbdu2TVWrVi11v3379tVnn32mtLQ0JSQk6IsvvtDRo0dD619//fUiwenYsWNq06aN+vTpI0kqKCjQrbfeqjFjxig1NVU333yz0tLSdPfdd0uSHnnkEfXt21etW7f2UQYAAABEAEEL56wePXqoR48ekqQBAwacsP7hhx9W9+7dNWXKlNCy+Pj4Uve5fPlyZWRkaNeuXbr44oslSY0bNy7Spnbt2kV+fumll3TkyBENHDhQknTw4EEdPHhQw4cPV6VKlXTjjTeGRtHWr1+v5cuXKysrK6xzBQAAQHTh1kGclwoKCvSnP/1JrVq10nXXXae6desqJSVFr7zySqnbLV68WCkpKXr66afVsGFDJSQk6J577lFOTs5Jt0lPT9d1112nSy65RJJUt25dxcXFafny5Tpy5IjeeecdJSUlKS8vT0OGDNGsWbMUGxvr9XwBAABwdhG0cF46cOCAcnJyNGHCBHXv3l0rVqzQLbfcottuu01vvPHGSbfbvXu31qxZo82bN+u1117T9OnTtWzZshJHzKTAM2CrVq3S4MGDQ8vMTAsXLtT48eOVmJio5ORkDRw4UL/5zW+UkpKievXqqXPnzkpISNDYsWM9nzkAAADOBm4dxHmpoKBAkvTTn/5U9957rySpbdu22rBhg6ZPn67rr7/+pNuZmV5++WXVqFFDkjR9+nSlpqbqiy++UP369Yu0T09PV1xc3An769Spk95///3Qzzt37lR6ero2btyobt26adiwYerTp49SUlKUkpJy0v4AAAAgOjGihfPSxRdfrJiYGLVq1arI8pYtW2rv3r0n3S4uLk4NGjQIhazj20g6Ybvc3FzNnTtXd9xxh2JiSr+mMXToUE2aNEkVKlTQBx98oL59+6patWrq2bOnMjMzwz09AAAARBhBC+elihUrKiUlRdu3by+yfMeOHWrUqNFJt+vYsaM+//zzIs9k7dixQ5JO2G7x4sU6ePCg7rzzzlL7Mnv2bFWpUkW9e/cOjbR99913kgJhLT8/v+wnBgAAgKhA0MI5KycnR5s2bdKmTZtUUFCgvXv3atOmTaGRp1/+8pd65ZVXlJaWFrp1b8GCBRoxYkRoH8Wnhr/11ltVp04d3XHHHfrwww+1du1ajRw5UjfffLPq1atX5PhpaWnq2rVrqTMZHjhwQOPGjdPMmTMlSTVr1lRiYqKmTJmirKwsLVq0SJ06dfJZFgAAAJwFBC2cszZs2KDk5GQlJyfr6NGjevzxx5WcnKzHHntMkvSzn/1MaWlpmjx5stq0aaNp06bphRdeKPI81N69e4vcEli1alW9/fbbys7OVkpKivr06aMuXbro+eefL3Ls3bt3KzMzs8gkGCUZOXKkRo8erYYNG4aWzZ07V4sXL9Y111yjXr16qVevXj7KAQAAgLPInHPhtA+rcWnqDVnla1deHUjrEukulIh6AQAAAFHBytKIES0AAAAA8IygBQAAAACeEbQAAAAAwDOCFgAAAAB4VvqnqALlFJOHAAAAIJIY0QIAAAAAzwhaAAAAAOAZQQsAAAAAPCNoAQAAAIBnBC0AAAAA8IygBQAAAACeEbQAAAAAwDOCFgAAAAB4RtACAAAAAM8IWgAAAADgGUELAAAAADwjaAEAAACAZwQtAAAAAPCMoAUAAAAAnhG0AAAAAMAzghYAAAAAeEbQAgAAAADPCFoAAAAA4BlBCwAAAAA8I2gBAAAAgGcELQAAAADwjKAFAAAAAJ4RtAAAAADAM4IWAAAAAHhG0AIAAAAAzwhaAAAAAOAZQQsAAAAAPCNoAQAAAIBnBC0AAAAA8IygBQAAAACeEbQAAAAAwDOCFgAAAAB4RtACAAAAAM8IWgAAAADgGUELAAAAADwjaAEAAACAZwQtAAAAAPCMoAUAAAAAnhG0AAAAAMAzghYAAAAAeEbQAgAAAADPCFoAAAAA4BlBCwAAAAA8I2gBAAAAgGcELQAAAADwjKAFAAAAAJ4RtAAAAADAM4IWAAAAAHhG0AIAAAAAzwhaAAAAAOAZQQsAAAAAPCNoAQAAAIBnBC0AAAAA8IygBQAAAACeEbQAAAAAwDOCFgAAAAB4RtACAAAAAM8IWgAAAADgGUELAAAAADwjaAEAAACAZwQtAAAAAPCMoAUAAAAAnhG0AAAAAMAzghYAAAAAeEbQAgAAAADPCFoAAAAA4BlBCwAAAAA8I2gBAAAAgGcELQAAAADwjKAFAAAAAJ4RtAAAAADAM4IWAAAAAHhG0AIAAAAAzwhaAAAAAOAZQQsAAAAAPCNoAQAAAIBnBC0AAAAA8IygBQAAAACeEbQAAAAAwDOCFgAAAAB4RtACAAAAAM8IWgAAAADgGUELAAAAADwjaAEAAACAZwQtAAAAAPCMoAUAAAAAnhG0AAAAAMAzghYAAAAAeEbQAgAAAADPCFoAAAAA4BlBCwAAAAA8I2gBAAAAgGcELQAAAADwjKAFAAAAAJ4RtAAAAADAM4IWAAAAAHhG0AIAAAAAzwhaAAAAAOAZQQsAAAAAPCNoAQAAAIBnBC0AAAAA8IygBQAAAACeEbQAAAAAwDOCFgAAAAB4RtACAAAAAM8IWgAAAADgGUELAAAAADwjaAEAAACAZwQtAAAAAPCMoAUAAAAAnhG0AAAAAMAzghYAAAAAeEbQAgAAAADPCFoAAAAA4BlBCwAAAAA8I2gBAAAAgGcELQAAAADwjKAFAAAAAJ4RtAAAAADAM4IWAAAAAHhG0AIAAAAAzwhaAAAAAOAZQQsAAAAAPCNoAQAAAIBnBC0AAAAA8IygBQAAAACeEbQAAAAAwDOCFgAAAAB4RtACAAAAAM8IWgAAAADgGUELAAAAADwjaAEAAACAZwQtAAAAAPCMoAUAAAAAnhG0AAAAAMAzghYAAAAAeEbQAgAAAADPCFoAAAAA4BlBCwAAAAA8I2gBCNm3b59uv/121a1bV5UqVVKrVq20atWqUrdxzumZZ55RixYtFBsbq7i4OD344IOh9QMGDJCZnfBVpUqVUJusrCwlJyeratWq6tmzpw4dOhRaV1BQoCuvvFLLly/3f8KniXqFh3qFh3oBQPlG0AIgSfrqq6/UsWNHOef0xhtvaOvWrZo2bZrq1atX6najR4/WzJkzNWnSJG3dulVvvvngSjpqAAAgAElEQVSmOnfuHFr/7LPPat++fUW+4uPj1adPn1CbQYMG6dprr9XGjRuVnZ2tCRMmhNZNnTpVzZs3V/fu3f2f9GmgXuGhXuGhXgBQ/plzLpz2YTUuTb0hpV+Vi5QDaV0i3YUSUa/wUK/wPfTQQ1q1apXWrl1b5m22b9+u1q1b629/+5tatmxZpm3Wrl2rTp06ae3aterQoYMkqXLlytq4caNatGih3/3ud1q6dKneeOMN7dmzR126dNGGDRt08cUX/6DzOlOoV3ioV3ioFwBENStLI0a0AEiSFi9erPbt2+vnP/+56tWrp7Zt22r69Okq7WLMkiVLFB8fr2XLlik+Pl6NGzfW7bffrgMHDpx0m/T0dCUmJobe1EnSZZddphUrVigvL08ZGRlKSkqSJA0bNkzjx4+Pyjd11Cs81Cs81AsAyj+CFgBJ0u7duzVz5kzFx8frrbfe0siRI/Xggw9qxowZpW6zZ88eLViwQHPmzNG8efO0bds29ezZUwUFBSe0z87O1sKFCzV48OAiy5977jktWrRITZs2VcWKFTVmzBjNnz9feXl56tq1q2644QY1bdpUd999t7777jvv5/5DUK/wUK/wUC8AKP+4dbCYaL21i3qFh3qFr2LFimrXrp3WrVsXWvbQQw/pD3/4g7Zu3VriNkOGDFF6erq2b9+uZs2aSZJ27Nih5s2b67333lP79u2LtJ8xY4ZGjx6tzz//XLVr1z5pXw4dOqQrrrhCGRkZ+uUvf6mWLVvq0UcfVffu3dW7d2+NGDHCwxmfHuoVHuoVHuoFAFGNWwcBlF1cXJxatWpVZFnLli21d+/eUreJiYkJvamTpISEBF1wwQUlbpeenq5evXqV+qZOku677z4NHz5c8fHxyszMVN++fVWxYkX17t1bmZmZYZ7ZmUG9wkO9wkO9AKD8I2gBkCR17NhR27dvL7Jsx44datSoUanb5OXladeuXaFlu3fvVn5+/gnbrV+/Xps3bz7hNqXiMjMztXnzZo0aNUpSYDrp47cn5ebmKj8/P6zzOlOoV3ioV3ioFwCUfwQtAJKkUaNG6b333tOTTz6pnTt36tVXX9XUqVOL3BY0ZswYde3aNfRzt27ddPnll2vgwIHKyspSVlaWBg4cqPbt26tdu3ZF9p+WlqaEhARdffXVJ+3Dt99+qxEjRigtLU0xMTGSpE6dOmnq1KnaunWr5syZo06dOvk98R+IeoWHeoWHegFA+UfQAiBJSklJ0eLFi7Vw4UK1bt1aDz/8sMaPH6/hw4eH2uzbt6/I1fIKFSpo6dKlqlevnjp37qzU1FQ1bNhQS5YsUYUK3//zcvjwYS1YsECDBg0qtQ/jxo1Tjx49dMUVV4SWTZ06Vdu2bVP79u2VmJgYNc+DUK/wUK/wUC8AKP+YDKOYaJ2sgHqFh3oBAADgDGEyDAAAAACIBIIWAAAAAHhG0AIAAAAAzwhaAAAAAOBZTKQ7ACDymDwkPNQrPNQrPNQLAM4NjGgBAAAAgGcELQAAAADwjKAFAAAAAJ4RtAAAAADAM4IWAAAAAHhG0AIAAAAAzwhaAAAAAOAZQQsAAAAAPCNoAQAAAIBnBC0AAAAA8IygBQAAAACeEbQAAAAAwDOCFgAAAAB4RtACAAAAAM8IWgAAAADgGUELAAAAADwjaAEAAACAZwQtAAAAAPCMoAUAAAAAnhG0AAAAAMAzghYAAAAAeEbQAgAAAADPCFoAAAAA4BlBCwAAAAA8I2gBAAAAgGcELQAAAADwjKAFAAAAAJ4RtAAAAADAM4IWAAAAAHhG0AIAAAAAzwhaAAAAAOAZQQsAAAAAPCNoAQAAAIBnBC0AAAAA8IygBQAAAACeEbQAAAAAwDOCFgAAKNdmzJihpKQkVa9eXdWrV9dVV12lN95446TtP/roI11zzTWqX7++KlWqpPj4eD300EPKzc0NtVm1apU6dOigOnXq6KKLLlKLFi00efLkIvtZsWKFmjVrpurVq6tfv35Fts/JyVFCQoK2bNni/4RPE/UKHzXDDxET6Q4AAACcjoYNG2rSpElKSEhQQUGB5s6dq5/97Gf64IMPlJSUdEL7ihUr6vbbb1dycrJq1qypzZs3a/DgwcrLy9Ovf/1rSVLVqlV1zz33qE2bNqpcubLWrl2roUOHqnLlyho+fLgKCgp06623asyYMUpNTdXNN9+stLQ03X333ZKkRx55RH379lXr1q3Pai3KgnqFj5rhhzDnXDjtw2pcmnpDVvnalVcH0rpEugslol7hoV7hoV7hoV7hoV7hoV5+1K5dWxMnTtTQoUPL1P7ee+/Vu+++q3ffffekbW666SbFxsZq/vz5OnDggOrXr6+jR4+qUqVKeuCBB5STk6MZM2Zo/fr1GjBggLKyshQbG+vrlM4o6hU+anZes7I04tZBAABwzsjPz9eCBQuUk5OjDh06lGmbnTt3atmyZerS5eRhMisrS+vWrQu1qVu3ruLi4rR8+XIdOXJE77zzjpKSkpSXl6chQ4Zo1qxZ5eINMPUKHzVDWRG0AABAuff3v/9dVatWVWxsrO666y794Q9/UJs2bUrdpkOHDqpUqZISEhLUqVMnTZgw4YQ2DRs2VGxsrNq1a6fhw4frrrvukiSZmRYuXKjx48crMTFRycnJGjhwoH7zm98oJSVF9erVU+fOnZWQkKCxY8eeiVM+LdQrfNQM4eIZLQAAUO41b95cmzZtUnZ2thYtWqTbb79dK1euLPX5lVdeeUWHDx/W5s2bdf/992vSpEkaM2ZMkTbvvPOOcnJy9N577+mBBx5QkyZN1K9fP0lSp06d9P7774fa7ty5U+np6dq4caO6deumYcOGqU+fPkpJSVFKSoquv/76M3PyPwD1Ch81Q7h4RquYaL0HnXqFh3qFh3qFh3qFh3qFh3r50a1bNzVq1Ei///3vy9T+xRdf1KBBg5STk6OYmJKvQz/xxBOaPXu2du3aVeL6rl276q677lJqaqpq1KihnJwcValSRffff78KCgo0ZcqUH3w+Zxr1Ch81O6/xjBYAADg/FRQU6NixY2G1z8vLU35+/g/a5+zZs1WlShX17t1bBQUFkqTvvvtOkpSbm1vqfqMB9QofNcOpcOsgAAAo1x588EFdf/31uuSSS3T48GG9/PLLWrlyZehzjsaMGaP169crIyNDkjRv3jxVqlRJbdq0UcWKFbVhwwaNGTNGN998c2hygWnTpqlJkyZq3ry5JGn16tWaPHmyhg8ffsLxDxw4oHHjxmnNmjWSpJo1ayoxMVFTpkzRTTfdpEWLFunZZ589G6UoE+oVPmqGH4KgBQAAyrX9+/frF7/4hfbv368aNWooKSlJf/7zn5WamipJ2rdvX5FbsWJiYjRx4kR9/PHHcs6pUaNGGjFihEaNGhVqk5+frwceeECffvqpYmJi1LRpUz311FOhiQoKGzlypEaPHq2GDRuGls2dO1cDBgzQtGnT1L9/f/Xq1esMViA81Ct81Aw/BM9oFROt96BTr/BQr/BQr/BQr/BQr/BQLwCIejyjBQAAAACRQNACAAAAAM8IWgAAAADgGUELAAAAADxj1kEAAFBuMXlIeKhX+KgZfihGtAAAAADAM4IWAAAAAHhG0AIAAAAAzwhaAAAAAOAZQQsAAAAAPCNoAQAAAIBnBC0AAAAA8IygBQAAAACeEbQAAAAAwDOCFgAAAAB4RtACAAAA4M3q1at14403qkGDBjIzzZkz55TbOOf0zDPPqEWLFoqNjVVcXJwefPDB0PoBAwbIzE74qlKlSqhNVlaWkpOTVbVqVfXs2VOHDh0KrSsoKNCVV16p5cuXez3X0hC0AAAAAHiTk5Oj1q1b69lnn9VFF11Upm1Gjx6tmTNnatKkSdq6davefPNNde7cObT+2Wef1b59+4p8xcfHq0+fPqE2gwYN0rXXXquNGzcqOztbEyZMCK2bOnWqmjdvru7du/s70VOIOWtHAgAAAHDO69Gjh3r06CEpMBJ1Ktu3b9e0adP0t7/9TS1btgwtT05ODn1fo0YN1ahRI/Tz2rVrtXv3bs2bNy+0bOvWrXrppZfUrFkz3XLLLVq6dKkkac+ePXrmmWe0YcOG0z21sDCiBQAAACBilixZovj4eC1btkzx8fFq3Lixbr/9dh04cOCk26SnpysxMVEdOnQILbvsssu0YsUK5eXlKSMjQ0lJSZKkYcOGafz48br44ovP+LkURtACAAAAEDG7d+/Wnj17tGDBAs2ZM0fz5s3Ttm3b1LNnTxUUFJzQPjs7WwsXLtTgwYOLLH/uuee0aNEiNW3aVBUrVtSYMWM0f/585eXlqWvXrrrhhhvUtGlT3X333fruu+/O+Hlx6yAAAACAiCkoKNCxY8c0b948NWvWTJI0b948NW/eXO+//77at29fpP2LL76ogoIC9evXr8jyxMRErVq1KvTzoUOH9NBDDykjI0P33HOPkpOT9frrr6t79+5KS0vTiBEjzuh5MaIFAAAAIGLi4uIUExMTClmSlJCQoAsuuEB79+49oX16erp69eql2rVrl7rf++67T8OHD1d8fLwyMzPVt29fVaxYUb1791ZmZqb38yiOoAUAAAAgYjp27Ki8vDzt2rUrtGz37t3Kz89Xo0aNirRdv369Nm/efMJtg8VlZmZq8+bNGjVqlKTAqNnx2wVzc3OVn5/v+SxORNACAAAA4E1OTo42bdqkTZs2qaCgQHv37tWmTZtCo1NjxoxR165dQ+27deumyy+/XAMHDlRWVpaysrI0cOBAtW/fXu3atSuy77S0NCUkJOjqq68+6fG//fZbjRgxQmlpaYqJCTwp1alTJ02dOlVbt27VnDlz1KlTJ/8nXgxBCwAAAIA3GzZsUHJyspKTk3X06FE9/vjjSk5O1mOPPSZJ2rdvX5HRqwoVKmjp0qWqV6+eOnfurNTUVDVs2FBLlixRhQrfx5XDhw9rwYIFGjRoUKnHHzdunHr06KErrrgitGzq1Knatm2b2rdvr8TExDP+fJbEZBgAAAAAPLr66qvlnDvp+jlz5pywLC4uTq+++mqp+61WrZpycnJOefyJEyeesCw+Pl7r1q075bY+MaIFAAAAAJ4RtAAAAADAM4IWAAAAAHhG0AIAAAAAz5gMAwAAAIAX9YasinQXSnQgrctZPyYjWgAAAADgGUELAAAAADwjaAEAAACAZwQtAAAAAPCMoAUAAAAAnhG0AAAAAMAzghYAAAAAeEbQAgAAAADPCFoAAAAA4BlBCwAAAAA8I2gBAAAAgGcELQAAAADwjKAFAAAAAJ4RtAAAAADAM4IWAAAAAHhG0AIAAAAAzwhaAAAAAOAZQQsAAAAAPCNoAQAAAIBnBC0AAAAA8IygBQAAAACeEbQAAAAAwDOCFgAAAAB4RtACAAAAAM/MORfpPpw2MxvinEuLdD/KC+oVHuoVHuoVHuoVHuoVHuoVHuoVHuoVPmoWnvJer3NlRGtIpDtQzlCv8FCv8FCv8FCv8FCv8FCv8FCv8FCv8FGz8JTrep0rQQsAAAAAogZBCwAAAAA8O1eCVrm9dzNCqFd4qFd4qFd4qFd4qFd4qFd4qFd4qFf4qFl4ynW9zonJMAAAAAAgmpwrI1oAAAAAEDUIWgAAAADgGUELAIBzgJnFRLoPAL5nZnUj3QdEVrkKWmZ2oZn91cyaR7ov5YmZ1Tez+8zsd2Z2cXBZRzNrEum+oXwzs1aF/380s/82sxfNbIyZXRDJvgHnoX1mNtnMWka6I+WBmfUxs+6Ffn7MzD4zs7fMLC6SfYtGZla3cHAwszZm9oSZ3RLJfkW5f5rZIjP7iZlZpDuDs69cBS3n3HeSmkhiBo8yMrMrJG2XdJukOyVVD676b0lPRqpfOGc8LylZkszsEklLJNWWNELSExHsF3A+ekhSB0lbzOxdM7vTzKpGulNRbOzxb8zscgXqN1XShZKmRKhP0WyhpJ6SFLxou1rS/5M0y8xGR7JjUex6SbmSXpO018zGm1nTCPcJZ1G5ClpBcyUNjnQnypHJkp51ziVLOlZo+VuSOkamSziHtJC0Mfj9zZL+6pzrIamfJK5yloGZXWRm3cysUaT7Eu3MrJ2Z/dzMqgR/rsLtct9zzqU75zpIai1pjQIXO/aZ2fNmxr/3J2qkwIVIKRAYFjvnfi3pXkldI9ar6JUk6b3g9zdL2umcS5TUX9LQiPUqijnnVjjnbpX0I0lPSfqJpB1mlmlmt5lZpcj2MPqY2f+aWe1I98OX8hi0qkgaYmabzOz3Zja18FekOxeFrlAgnBa3T1L9s9yXqGdmFczsWjMbZ2ZzzWyhmc0IXhm+JNL9i0IXKHC1Tgq8MXkz+P0u8foqkZnNMbPhwe8rSlovabmk7Wb2k4h2LkoFb39+T4FavazvX1tPi5GHEzjntjrn7pfUUIFRmlslrTazbWZ2l5mVx7/9Z8K3kqoFv+8q6e3g99mFluN7F0nKCX7fTdIfg99vlMTfx1I4575yzs1wzrWTdI8CI8/zJH1uZk8x8lzEKAXqsrDwrb3lVXn8x7alAv9T/1tSvKQ2hb5aR7Bf0eqopFolLG8h6cBZ7kvUCo4qPCzpH5LekNRdUlUFQkQTSY9L+sTM3jSzH0eup1Fni6RhZvZfCrxRWRZc3kDSwYj1Krql6vurwjcq8IbuPxS4jWlsZLoU9X4r6QtJdSQdKbT8VQX+X0UhZlbRzPpK+rMCtXtP0gBJsyU9qkBYhfSOpClm9qikdvr+QlEzBf4WoKiPJd0UvOjYXYELRFLgwsdXEetVOWBmcWb2oJltkzRJ0gJJXSQNk3SdpMWR7F+UaSzpp5IKJC0xsz1m9iszaxzJTv1QfGDxOc7M0hR4E9dbgTe+SQo847ZEUqZzblQEuxc1zOwzSe9KmiNpefB5wOJtGilwZfguSU8459LPaiejkJl1VuAPRA1Jc51zA4PLJ0pq5pzrFcn+RSMz+1bSfzrnPjOz5yRlO+dGB/+I/N05x5X0YszsC0ldnXNbzOywpMucc7uDE/pscc5ViXAXo0LwOaOBCty2+52kFyQ955zbUahNoqQNzrmLItPL6GFmDSX9TtKlCtxi/3xw+TOSKjjn7olk/6KNmd0kab6kGEkZzrnuweUPS+oYvG0chQRrNlCBYLpF0nOSXnLOZRdqEy9pm3OuYmR6Gb2CtxDeJukOBd6//kXS7yW96pzLj2TfyqrcBq3gg5hNJW1yzh07VfvzlZlVV+AqXZICt13uV+Dq01pJPZxz30Swe1HDzFo757aUsW1FSY2ccx+f4W6VC8HZBas75/5daFljSUecc4yaFmNmnyoQ1ldI+lTSEOfcn82staTVzrlz5t50X8zsa0ntnHM7igWtKyX92TlXJ8JdjApmlq/AKMNzkpY45/JKaFNF0nTn3B1nu38o/8ysvgLPG212zhUEl7VX4ILRtoh2LgqZWbYC4TTdOffBSdpcJOmXzrlxZ7Vz5YSZdVBgMrfbJH2mwF1aRyQNcM5lRLJvZVHugpaZVVNgprNeCozMJAT/4M6StN85NzaS/YtWZnatpMsVuF10o3Pu7VNscl4yswsVmI1xhnNuT6T7U15w4aPszOwxSaMlfa7AMw/NnHO5ZnanpDuDkxmgEDNbKulvzrmHgkErSdJeBWZBy3fO9YloB6OEmTXi363wBCcjuEGBf7/+zzn3VXBWuH875w5FtnfRKxi4vjwetlAyM6vsnDty6pYoLPj6ul2BkaxGkl5XYHR+ZfD/2Ucl/cI5F/WTSJXHoDVT0mUKTB+9RlJSMGjdIOlJ59xlEe0gyj0zy5HU2jn3aaT7Eu248PHDmFkvBW5XetU591lw2e2SvnLOLYlo56KQmbWStErSJgWea1gqKVGBW1Y7Oud2RbB7KKfM7D8VmACjqqSaClz02G1mkyXVdM4NimgHo0yhC5HD9P1Fot1mNknSHufczIh2MAqZ2aUnWeUkfeuc+/Js9qc8MLM/KfAs83ZJ6ZLmFb5jJtimngLvMaJ+romo72AJbpT0v865TSr6eVpbFZgcA4WY2Wwr4fMtzOze4PMhONFbkq6NdCfKiUkK3EZyuQITrxy3VIHpklEC59xrzrnfHg9ZwWVzCVklc859pMCER+sUuDWukgITYSQTsr5nZgVmln+Sr2/MbLOZ8dzR955R4PVUX0X//fqjpGsi0qPo9rgCn6P1CxX9uJj1Cky2ghN9KumTEr4+lbTfzP5tZk8bH1NR2AFJnZ1zbZxzU4uHrKAvFZioLOqVx19sLUn/KmF5NUnl4sG4s+wnCnwAY3GZku47y30pLzIkTTCzJEkfSCryHJtz7vWI9Co63Sjp/znnNpkZFz7KwMyelPQP59ysYsvvktTAOfdoZHoW3Zxz+xV4o4eTu1uBmSv/IOmvwWXtJf1MgYsil0h6ysycc25aRHoYXTpI+rFzLt/MCi/fq8AFJBR1i6SB7v+3d+fx1tfj/sdf71KaVCQalEqRJipFOpUkRYTOKUMylKgfiiIUUsdcpEwlCac4RAiJaKIOIWmWxruBSprn4f374/Pd7bXXXvu+973vfe/Pd631fj4e96O1Pt+1z+M621prf6/PcF32mZI6twxeRKnUGOO9HvgscCRjP5Nvp3xWlwY+DNxFvt8AsL3bJF5joC+2SfdjovVHys3dF5rnIzd376DMdsZYSzPa96LTPUAO3ff2pea/vWZ+TekdFUUmPubeLpQqoN3+DHyIsvc8Okh6F2Vb5XFd42+kFGLJlqViG+BDto/pGPuGpHOB7W2/StLfgHcDSbSKhXqMrUzppRVjrUDvm9vH0Z/3kzNhT+C9XRO0pzWfw71tbyHpZuAgkmgBj51j7sWU3ndXAKfYvm+C17VKP34w9gd+2ZSofRywT/N4Y2DzqpG10+XAy4HDu8a3o7xZo0s/7PltkUx8zL2nULY9dLuVNHmeyHsoVae6XUPpDZVEq9iKUmil25mM7mw4ldLoOcq2wX0YfW+5qdR7EKWfYox1MeU+65qu8Z0oE0Ux3vOBC3uMXwRs1Dz+P0pz8Sh2pEx2LE4pGgUlyb+H8rdzJeBmSVvYvqpOiJPXd4mW7XOaUo/vA66k/GE5D9jEdq8387D7HHBkc3DwtGZsK8qNyzurRRWDIhMfc28WsBnQ/Qdic0rp2hjvafSeSb+e3KB0upWyTfDQrvFXM9pAfAmyWjNiH+D0ZnVhEeB7wOqU5tipZDneQcBxTcPiBYEdJa1J6S+5XdXI2utayjbB93eN7075WwCwLJAKl6M+RzkH+JaOYlFPoxTeOo4yCfJ9yoTRq2sFOVl9l2gBNAnVm2vH0Q9sf6sphflhyrYkgBuAfWwfWy+y9lLZrL8nJRFdlVKB8CpJHwSusv39qgG2SCY+puQo4LCmH1vn5MenKOdoYrx/As9l/Ez6BowmEFFuhI9u2nmc24xtRGmWunvzfGvKCtfQs32jpOdSztGMtD/5GqWhbF9sS5pJtn8qaSfKBNujlK1u5wGvTMuYCe0L/FDSyyk7QACeR2kn8J/N840oiUMUBwKv6ioWdb2k/YAf2/520yS7L4pH9V159xGSVqBswRmzzcv2eXUiaj9JywKknOjsSXoPsB/lpvfTwNpNorULsLvtrNTEPJH0Kcqq8sLN0IPA4bY/WC+q9pL0ScoM527AGc3wlpTGvN/J722UpE0oZ7DWbIYuA46w/ft6UUUMr2YF8P8Bz2qGLgOOtD1r4p8aXpLuBV5k+9yu8ecDp9teTNKqlN6KT6gS5Fzou0RL0vqUpcM1AXVdtu0UKoh5IukyYF/bP2+aoz6nSbTWBs6yvUzlEFtD0o7Ag91lySW9CljI9g/qRNZ+khYH1mqeXmq7V9Ga4LH+Pd8GXstokZUFKCXed7H9UK3Yon+lAujckbQFgO0ze4zb9llVAouBIukkyjmstzN69m9Dym6Q65qiPtsDH7e9XqUwJ60fE60/UvahH0w5JDfm/wHbfVHucaZIehKlweBW9F4BXLJGXG0m6T5gTdvXdiVazwTOt71Y5RBbQ9LFlG2ov+wafwnwBdvr1IksBpGkNYD1Kd/759v+e+WQWkfS44GdKUm8KQUMvmv7gdn+4BCSNAvY0fYfusY3An5g++l1ImsnSecBB9v+cdf4K4GP2d6wTmTtJumplKMInZ/Jr9q+qWpgLdXUFPg2Zctz58Tar4A3275Z0paUydxfVQpz0vrxjNZalCaVl9cOpE8cQ7kx+Ro9EtPo6SrKfv3upP3lwCUzH06rrUbp3t7tCtJH6zHNDN0bbd/ZPJ6Q7e1nKKy+0yRWSa4mIGkt4BRgSUYrne0OHCRpW9uXVguunVIBdO48C/hrj/GLGN0WFx0kbUr5TN5EqS4IZRv0PpK2sf1/E/7wkLJ9M7CtpGfRsd2y877f9ulVgpuCfky0LgSWo5QtjznbCti6e8YuZutQ4EuSFqNsT92kOZ+1H7Br1cja5zZgDcYXKXgmpQFjFLcyOsnRq+9YzIGk1zLxynyS0+Jw4C+U7ZR3AjTlyo+jtGDYpmJsbZQKoHPnPmB54Oqu8RUp50xjvEOB7wJ72H4UQNIClAbGn6M0zY4ebP9N0g3loe+pHc9U9cXWwWb724jnAp+kVNG7EBizN992SmR2kHQFpXrLxbVj6SeSdqe8x1Zqhm4EDuxqBDr0JH2VcqOyw8hsUzML9UPgbNvvqBlfDAZJh1CKh5xO7y3jb60RV9s0h8g36v6+l7Qu8Hvbi9eJrJ0k7QscAHyAHhVAbX+2VmxtJOl4Sn+j7W3f1ow9iVL97Xrbr68ZXxs1RxGea/tvXeNrAn+xvWidyNpN0jspn8sVm6HrKZ/JvuuZ2C8rWv9i7B9WUfZqdo+Z0tshRh0AHCzpzTlsP3m2j6aUSX4ysECzlB3jfQD4BXCJpH80Y8tTSkt39w2JHiQtCmwK/D1nTCf0JuD1Ka4yR/cDS/cYX6q5Fh1sf675jj+C8TonNRMAACAASURBVBVAk2SN9z7gLOAaSRc0Y+sBN1MK1cR4d1DaxHRvsV8VuH3mw2k/SftT2hEdCvyuGd4M+LSkJW1/ulpwU9AvK1pbTPa13dVwhp2kC4FVKAnotYxfAWx9xZZoP0lbU1aboWxd+o374culAknfBM61/ZWml9afgbUpN3ivsf2LmvG1kaRbKL3ZrqgdS5tJ+halJ8/uwEg5900o1brOzcpfb6kAOnnNlvqdGft9/x3b99aLqr0kfQHYkXL04JxmeFNK+5jv2d6nVmxt1RSp+YDt73aN7wx8st+K1PRFotVJ0sqU8o7uGhewUvoSjCXpwNldt33QTMXSL1KpMeanZuVvO9vnSfovyqzdxpTzf6+x/fyqAbZQU4b7Idsfqx1Lm0laGvgW8ErGVus6CXiL7TtqxRYxjJrJtEOAPRjdRfYQ8FVKMpGzbV0k3Q+s0z2x1lSdvdD2InUim5p+TLQeAZbv3solaRng5vTRinkl6UfMplKj7W/ViKutmiaCEyWle1UJqsWaPyKrN53uvw7cYXtfSatQ/oi0vgHjTJP0ZeANlKqfFzB+ZT7vsw7NDclIw+JLsxLYm6RFgL2Z+PsrOz66SHoapVhIr9/X56sE1QealcBnNE+vzArgxJptqT+wfXDX+IGU8+DPqRPZ1PTLGa1OI2exui1B9qD31PwxeQXlQ36U7dslPQO4LcVDekqlxkmS9D7gs5Ry7t1JaX/N4sycfwLrNCtb21CaMkL5Dkvj3d7WAs5vHq/ZdS3vsy4pgz9pXwFeQ2l8fQ55L81Ws3XrG8DDlLL43d/3SbQm0CRWF87xhQHwMeD7kjYHzm7GNgW2oGzD7Ct9k2hJOqJ5aOBTTXWlEQtStt6cP+4Hh5yk1YFfU27ilqb8Qbkd2LN5/rZ60bXWzUD26E/O3sBetr9UO5A+8g3ge5TE9BHgN83484HLagXVZra3rB1DW3X8bZyjrPyN82pKw+Jf1w6kTxxMKUn+EduPzOnFw2pOvRI7pTXFeLZPbHbKvJeySABwKbCx7b/Ui2xq+ibRAtZt/ivg2Yzt2fAgcB7lrEOM9QVKhcY9GVvh5iTg2CoRtV8qNU7eksDJtYPoJ7YPlnQxpUzyCR179B+mHJCOCTQV4p4BnG/7gdrxtMS6c34JkNWaXu4FrqsdRB95KvD1JFlzlF6J88j2nymNnfteP57ROhb4KKNd26+wnRKZE5D0b+AFti+XdBfwHNtXNedBLk0Ph6Kpztj5YViVVGqcI0lHAhf0Y2+LWiQta/uW2nH0E0lPoKwE/iflc7pG8z12JPDPFMmIqZC0F6Xi5x6pkjpnkr4P/Ki7GlzEvOrqlztb/XbkpZ9WtEYqDi5L6UquZtiSTgbelYqDE1qox9jKlP4OUaQ/z9RcBxwkaVN6FynInv3xbmi2lhwDnJIbvEn5DLACsAGjfVUAfkapEPqxCjG1mqQlANu+p3YsLbY1pT/PtpIuYfz3V7Z1jXUq8BlJa1POG3X/vk6sElUfaM7Kr06ZKLrSdmoKjNXdL7eXvuyX2zcrWpJWBP4IPEo5wHpJc2lt4P81jzeyfWOF8FpL0v8C99jerVnRWo+yrP0T4Crbu1UNMPqapKtnc9m2V5uxYPpE03PsrZTzIbcC3wS+afvKmnG1maTrKaXv/9i1Mj+yjTCVGhuS3klpJL5iM3Q98JmsOo/X7JCZUPqOjSXp0dlcdqo+jydpIeCTwLsoTbEFPAB8ETjAdgogMdj9cvsp0foaJal6ie37uq4tRjmHdLHtd9SIr60krQCc3jxdjdJccHXgJmDzbGEaT9JVlKT91q7xpYHzkjzEdGjeTztTkq71gTMpq1w/zGznWJLuAdZtkqvOROu5wBm2l64cYitI2h/4EOW88sjK32bAPpRGn5+uFVvEMJL0eeD1wAcZ+5n8FHC87ffVii1mRj8lWtcDO0+UyUp6EXCc7afNaGB9QNKilA/6BpS+F+dRPuD3zfYHh1Qza7dcj15tT6U0y164TmTt1vx+brE9u1nP6KFZhfgcZcbzdkoPt4+nGEsh6Qzgx7a/MLIyb/tqSV8Fnm775XUjbAdJsyhNUL/bNb4zJdF6ep3I2k3S8yhFVn5m+x5JiwMP2H64cmjR5yT9E9jV9sld49tRCossXyeydpP0eMpE5FqU7YIXA9/txyJI/XRGa1lgdltrrmheE12ahOobzb+YgKQdOp5uJ6nzDNuClP5as9sqN3SabRGfoFS1XBR4JnCVpM8A12a70sQkLQ+8GXgL8DTgfykrWitQViWeB7ykVnwtsz/wy+ZsyOOAfZrHG1Oap0bxFMoW+27nMlpAKhrN5NBPKO8jA2sAV1H6Qd1PaV8RDUmifNe/k1Iwap1mZfmDlKMI368aYDstRe971yspLXaii6S1gFMoVY1Heo/tTjkPvq3tS6sFNwX9lGjdTNnydv0E19doXjP0moThp7Yf6koexsnh1TFGCmKYcsPb6SHgGmDfmQyoDxwIvJJShvU7HePnUs6JJNHq0nwmdwVeClwEHEFZYb6j4zV/JD21HmP7HEkvBN5HuUHZirIyv4ntNAEddTnwBkq/o05vAP428+G03mGUbfTLAJ3FtE6gnKGJsfYG9qMUp+nchnoD5QxSEq3x/grsRUlOO+1Ner9O5HDKMZddbN8JIGlJ4DhKy6JtKsY21/pp6+DXKEuIW3UvHTbVXH5NzmgBY7e+5fDq3GsKPGxk+1+1Y2k7SVdStkWc2XV25lnAH3J2ZrxmpfS7wNFNr5Ber1kU2M/2QTMaXPS1Jon/PnAGcHYzvCmwBaUx748rhdZKkm6i3FNc1PX9tSpwke3FK4fYKpIuA/a1/fOu39fawFm2l6kcYutI2pzSa/IG4PfN8AsoOxdeZvt3E/3ssJJ0L+Ue7OKu8XWB3/fb57KfVrQ+BvwJuELSlxid7V2LUnXwccBr64TWLrYX6PU4Jsf2qrVj6CMrUHqNdXsc/fX9MpOWt33v7F7QbPcd6iRL0pNG+qXMqcdKv/VVmV9snyjp+cB7gVc0w5cCG9v+S73IWmtR4MEe48tStg7GWE+nrMJ3e4jyu4wuts+S9EzKitaazfAJwFdSJXtC99N7W+VS9OHnsm9uhGzf2Gwd+QqlVOZjfbSAX1L6aN1QK74YLM1B1Q8wehDzEkqJ5JNn+4PD52LKGZlrusZ3Anqu1gy7kSSrqQj6FEqBms7r59WIq4VukbR8U5Rmoh4rfdlXZX5qVknfWDuOPnEW5Yzk/s1zS1qQ8t3/m1pBtdhVlKJa3ZNrL2e05U50aRKqA2rH0Ud+ChwtaXdGVwE3AY4CTqoW1RT1TaIFYPsa4OWSnkg5kwVwRWYzJybpE5RKeUd2je8BrGj7I3Uiay9Jb6Mk9McD32qGNwN+JGlP2ykqMuog4DhJK1FudneUtCblTMh2VSNrKUnrU/aar8nohNGIJA2jXgyMfLdvWTOQNsvK3zzZDzhT0kbA4ymVP9emzJxvWjOwljoU+FLTUkfAJpJ2ofwed60aWYtI2oDS3+/R5vGEMrHW096Ue6/fAo80YwtQkqz31ApqqvrmjFZMTVPud0fbf+ga3wj4Qcr9jifp78Dhtr/UNf5u4N22n1knsnaStA1lRnhDRtsHHGz7V1UDa6mm0MWtlIIFN9K1UmO711bMiJ4kPULZjjpyJnfClb+cyR1P0nKUSnqd319ftv2PqoG1VLPK8GFgpWboRuBA290FpIZWj3PyZvykGuQzOVuS1mB0u+Wltq+oGc9UJdEacJLuB9ayfVXX+GrAJbYXqRNZe0l6AFi7+0MtaXVKwZXH14ksBkHTfHd925fXjqVfSNoReND2T7rGXwUsZPsHvX9y8EnaAjjb9sPN4wlN1IcyYm5JejKwQHe/yQBJTwdm2XbzeEKZWBt8fbV1MKZkFmXb21Vd45szcan8YTcL2JrSm63TS+ld+CFiblwILEcpxR2T8zFgnx7j91DK/Q5totWZPCWRmrNs65oeqco7sc7kKYnU5Eg6AvhQ0zD8iNm91vZeMxTWtEiiNfiOAg6TtDBwWjO2FfApSi+MGO9Q4IvNH+FzmrFNgV2Ad1eLqiUk3QmsZvtfTYnfCZfFbS85c5G1V9fZmf2Bz0r6MCXpeqjztTlH09Nq9O4DdUVzLXqQtCWwGHCO7dtqx9MSf6JMdNzcPJ5wWxc5L4mkC4AtbN8m6UJm/32/3sxF1n+as22vpXwmf2X775VDapN1gYU6Hk+k77bhJdEacLY/1yzxHwEs3Aw/SDmD9Nl6kbWX7aMk3UxpTjzS8PlSYKfurUtD6t3AXR2P++6Lr4LuqnkCftVjLDd3vd1GKYB0Tdf4Mxl9Lw4tSUtQJs42oFTpOoDSu2fz5iU3S3qp7QsqhdgmqwK3dDyO2fshMNK7dGhXjudWc/bvGEY/k3tSJrtHzhzdJ+llts+qFGKr2N6y1+NBkDNaQ0LS4pRS5VAOFd5dM56IYTKnszOdsv1rPElfpWyB3mHkbFvTFPuHlPNJQ92ovvn9vJzSrHgbSrXGx1MqdD0KfBa42/YrqwUZMUQkHU+55/o68GpKK4/rgN0on8mvAk+y/eJqQfaBZhKJfr5nTaI1ZCStDCxBSbbyP35Dkubm9zG3rx9UIwlEd3LQjDuzdaOabSOHUP7oLgT8GtgrZx3mTNKSwC+A5wMj1eCWB84FtrV9Z63Y2kDS9cCbbJ/WfMdfA7zY9hnN9Y2Bk2wvVy/K9pH0LuB228d1jb8RWNL2V+pE1k6S1gYW7F4ZlbQe8LDt9NJqSPoH8Brbv5e0LHATsKnt/2uuPwf4je0n14yzrSS9h3Iud8Vm6Ebg88AX+u3ea4E5vyT6kaTXStqza+yrwNWUcyEXSlqx5w8Pp8skvVHSbCsKSnq2pKOBD85QXG13GPDEHuNLNtdi1EGU5qg/B75LKbjy1ZoB9Qvbd9reFHgZZRv0EcC2lBuXoU6yGstRtjdjexZwP2X2fMQsYNkKcbXdexj7expxDfDemQ2lL3wNWKfH+FrNtRj1FJqtzrZvAe6lJFsj/knvv51DT9JnKQWQjqL8ndwaOBL4KH1YWyBntAbXu4H/GXki6SXAO4CPUP4gf6J5vEeV6Nrn7ZTtNV+S9BvKIekbKTcsT6T8IfkPypmQI4AvTfB/Z9g8C/hrj/GLmmsxagdgN9v/C49tLTlb0oK2H5n9jwaA7VOBUwEkLdRvM5vz0QKMNvakedz5u8nvqben0buS7PXNtRhrPcoqcrc/MvsCBsNIjP1M5jM4eW8D3tbVtuM0SX+jJF/71QlrapJoDa5nUQ5gjngVpcrNJ+Cx/lpJFhrN1rfnS3oh8HpKZaCnA4tSChn8BfgGcJzt26sF2j73UbZwXd01viKl6EqMWonS6R4A2+dKehhYgd6z6tGQtBdwg+0fNs+PAd4s6Upge9u9KhIOmz0kjZxjeBywm6Rbm+dPqBRT2/0TeC7ji6xsQPnej7EeAZbqMf5EelduHHafknRv83hh4EBJdzTPF6sUU7/oVbjnAvpwJ17OaA0oSfcBz2q2kSDpz8D3RioNNk30LrWdD3tMWbMqszLlZve2ZuxJwE+A622/vmZ8bSLpEWC5ZhvJyNhdwHq2uxPV6CDpCmBX22dJ2pyy/XI34D+BxW2/omqAlUm6hknMmNtOlb0Okj4JvJHyXjqjGd6SUsDgO7azRbyDpJ9Qkq0dR1bhJT0OOIHSOHyoP4edJJ3B5D6TA1VhbzpI+gIlP9m7a/wwyhnB9NGKVrgeWBuY1RwkXxfofHMuA/RtFZf5SdJzbZ9fO44+8T7gLOCapt8KlO0lN1NWBWOUgOMkPdAxtghwdMesJ7a3n/HI2m9FRldNXwmcYPv7TV+f3078Y8PB9iq1Y+hTB1JKvP+S0W1eC1ASh4/UCqrF9gN+B1wh6XfN2H9QCmxtPuFPDSHbL6odQz/palL8OOCNkrZhdGfW8ym7P46f6djmVVa0BlQzU7cjpTHxtpQ36Wods1BvB95oO1+OXSQ9StkqODKrecccfmSoNdX0dqZswYHyu/uO7Xsn/qnhI+nYybzO9lvndyz9RtJNwMtt/1nS+cAhto+XtDpwvu0lKocYfax5H63fPD0/jWQnJml54F2M/b7/iu0b60UV/U7S6ZN8qfutJH4SrQElaVHKocFXUvahv932bzuunw6cYrvvKrjMb5LWAHYFdqHsPf8RcIztyX4RRMQ0kvQ/lBX684DXASvb/rekVwEft52D+DHPmm1wi/Rzz56IaJe+O1QWk2P7Pttvsv1E28/uTLKa61smyerN9t9tf4hy9mgnyvauUyRdKekASUNfjUrSSk1Plc6xLSWdJulcSTnbENPpncDZlBLl/2X73834BpRS+RGTJmkrSTt1jX2Qsp3+dkmnSFq6TnTtI2kJSct0jT1b0jckfV/S62rFFoNL0iKS1pG0tqRFasczVVnRipiD5gO+J2Ub5sLAw8CJwL62b6gZWy2STgCuHDks3jRJvYRSvetKSr+jfW1/sVqQERE9SDoV+IXtzzfPN6acBTmG0v7k/ZQKs++vF2V7NCvKd9h+V/P8ycBlwKOUBuLrALvY/k69KGNQSFoI+CRli+rClPPNDwBfBA6w/VDF8OZaVrQiJiBpY0lHUv6QvAf4NLAKsBllS+GP60VX3caUym8jdqb8np5r+1XA/kDOGsW0kfR4SbtKOlTSIZLeMqcG48NE0uMkvbx75SF6Whc4s+P5jsA5tndvkq+9gBSlGbUJZQv9iF0o7TvWsP0c4FDKTXHEdPgMpRroHpTepWtQJrt3oUx495WsaEV0kbQPJUl4JiWZ+DrlPNujHa95GnCN7aGs3NmjfcAvgQtGZoAlPRP4g+0nVgwzBoSktYBTgCWBC5vhdYE7gG1tX1ortjZp+iOuafua2rG0WfN7WsP2dc3zc4CTbX+8eb4KcFGKrBSS7gHWHnlfSToJuNb2u5vnawFn2l62XpTt0bQ4mZSObdDRkPRPSjuPk7vGtwO+bnv5OpFNTVa0Isbbk1JCdGXbO9g+uTPJatxM6b0yrG6ntAgYsRFjG2SbtI+I6XM4pbrZyrY3s70Z5QzlX4EvVI2sXf4KrF47iD7wD+AZUFZKKRUH/6/j+hMoW5WiuBdYvOP5yFbLEfeTBryd/gXcMod/I6+J8ZaiHEHodiXQd2cncyM0wJp9rscB+9vu9aaNHmyvMYnXPAh8awbCaas/AO+VtCtl283iwGkd158JXFcjsBhImwIb2b5zZMD2nZIOYOwN37D7GPA5SQcCfwbu6byY2fPH/AL4bFMAY3vK76mzYNR6wBU1Amupv1J2ebxP0osoRWk6v++fAaS8+6g0IZ43f6Vs331n1/jeQN/1OE2iNcBsPyTppcCHasfSTyRN1FvMlJm7K3PDwkeB3wD3UVbGP2n7to7rrwPOqBBXDKb76T2TuVRzLYqRc5MnUr6vRqh5vuCMR9ROH6X8jn5NqTT45mbybMSuwKk1Amup/wZ+0VRqXBb4pu1/dFx/DaWRcQC2z5zzq2I29gNOlvQSRifSXkBpWPyyalFNUc5oDThJxwCX2j60diz9omlYPPLBUPPfzuePAidRqizdw5BqKk9tCvzT9h+6rm0HXGL76irBxUCR9C3K9tTdGf3DuwmlV+C5afJcSNpidtdzAziWpKWAu20/0jX+pGb8wd4/OXwkPRt4KaUv5wldZ5bfTvkc9t1qw/yQM1rzTtIKlBWtNZuhS+nTxthJtAZcs4XkvZQKS39i/FaSz9eIq80kvQw4BPgEZYscwPMpK4MHUhKtw4CfjxwGjoj5p+lp9C1KA/aRm+IFKBMeb7F9R63YIiI6dU3WTvgywLazytyhOfLyCeDLtq+tHc90SKI14CTNbkXBtlebsWD6hKQ/A/vZ/k3X+EuAz9jeUNIrgC/aXrVKkBFDSNLqwLObp5fazjmaHprZ4JUpPWgeY/usOhFFDI85rSx3yirzeJLuBtYZlOqpSbQiujSly9e3fVnX+LOB82wvKunpwGW2F60SZMSQaGY4rwO2sn1x7XjarEmwvgNsTplRHzmbBUBmzyOi7ST9kLJj6Bu1Y5kOKYYxRCQ9FbilR6nyGOsS4ABJb7P9ADxWAnj/5hrASpS96hExHzVFfR5izltxopS6fwRYC/gjsC3wVOBgyhbyiJhhzb3XLpTqjB+x/S9JmwI35hxzT78BPilpPXpXTz2xSlRTlBWtAdex33VPYFHgmbavkvQZSsPBr1QNsIUkPR/4KeUMyEXN8DqUs1mvsH2upDcBT7V9SKUwI4aGpP0oDYrfavvh2vG0laSbgO1s/0nSncDzbF/eFKf5iO0XVA6xVSStDFznrhshSQJWGmnIHjFVkjakJA5XA2tTGopfJeljlPuxN9SMr42aM24T6btzbVnRGnwHUg6Qv5GypWTEucAHgCRaXWz/QdKqlN/Zs5rh7wDfsX1385pv14ovYghtBmwB3CDpIsbPcG5fJar2WZTSCBXg38BTgMspK/Hr1Qqqxa4Glqc0oO/0pOZaX93QRSsdChxu+0BJd3WM/5LSmyy62F6gdgzTKYnW4Hs9sKvtM7tmCS6iNJWNHpqy7UfVjqONmj8Wk1oKt73kfA4nhsO/gB/WDqIPXEYph3wNpbHnHpKuo5RJvqFiXG015gxbhyVIf7ZxmrLlnwC2oiTxY26I833f04bAbj3G/0HZ1hsDLonW4FsB6FUi83Hkf/8JNXuD30c562DKjPAhti+a7Q8Oh3fVDiCGS/pkTdrhwHLN44OBUyiTbQ8Ab64VVNtIOqJ5aOBTku7tuLwgsDElUY2xjgHWB74G3EjOTU7GfcATe4yvyfiV1AAkHQtcZPtzXeP7AGvZfludyKYmN9qD72JKBaprusZ3ohwyjC6StgdOBH4L/KIZ/g/gL5J2sP3TasG1gO1v1Y4hIsazfXzH4/MkrUK5oZtl+18T/dwQWrf5ryjtAjobEz8InEfZ8hVjbQVs3d2gPmbrJ8CBknZsnrv5XH6GrNJP5GXAET3GT6NMgPeVJFqD7yDgOEkrUWbqdpS0JvAGYLuqkbXXx4FP2D6wc1DSwc21oU60ImaapAuZzey57Zw/6sH2vZSkITrY3hIemznf2/adlUPqFzcDd9cOos+8DzgZuAVYDPgdZcvg2cCHK8bVZkvT+312D+X8ZF9J1cEhIGkbSmnyDSl7qs8DDrb9q6qBtZSk+ynN8q7oGl8DuND2InUiax9JCwMHULYnrQws1Hm936oDRTtJOrBraCHgucCmwJdtD+0NS8c2uDmyvdf8jCUGm6TXUnbDvHmkMFRMjqQXAxvQ3IPZ/nXlkFpL0gXAMbYP7xp/D/A22+vUiWxqsqI1BGz/klLhJibnZkpSekXX+IbATTMfTqv9N/Ba4FPAYcD7gVWA1wEfqRdWDBLbB/Ual/R+4OkzHE7brDvnlwA5TzOOpEWAvZm4uMPQr5T2WE1eFbhZ0rXAQ52vze9rYrZPo2x9izn7HHCkpKcw+jvbCngPpbBPX0miNeAkXQVsZPvWrvGlKbMqq9WJrNWOBo6StDpwTjO2KWULQPpmjbUTsIftUyQdCvzE9pWSLgW2JpUbY/46EfgTQ1ygZWQbXEzJV4DXACdQvuuTjI73g9oB9CNJLwO+CqzXvTVV0lLAX4HdbZ9aI742s/2tZhLkw8CHmuEbgH1sH1svsqnJ1sEB15R0X872zV3jT6UckH58ncjaq2lW+R5gX0rVRigVlg4BjuhubjnMmmpda9qeJekflIbOf276kP015X5jfpL0VuDjtlesHUv0H0n/BnbKNq6YbpJ+Dpxs+8sTXN+T8vcyZ+VnQ9KyALZvqR3LVGVFa0BJ2qHj6XaS7uh4viBlGfaaGQ2qTzSJ1GHAYZKe0IzdNfufGlqzKMnoLMpWy20o1Sw3oZS1jZhnkk7qHqI0ml2fUvAnmPN5rZzRGude4LraQfSL7JCZK+sB+8zm+mmU880xG/2cYI1IojW4Rpb7Tel90ekhSpK170wG1I+SYM3RjyhJ++8pPXy+K2l3YEWyzTKmz61dzx+ltK7YP0V9xug+r7UQpbz7gsBfZj6c1vsssI+kPbJTYVJWobyXuj0eeNrMhtJ6y1K+pyZiYJkZiqX1mgIYW9i+bdCqzCbRGlC2FwCQdDVlBio9VGZjTh/sTv32IZ+fbH+o4/EPJF1HOc92ue2f1YssBkkaFk9Or/NazVmHYyh9AWOsrYHNgG0lXcL44g7bV4mqZSa5Q+bqmY2q9a6nrGr9fYLr61HOHUXxQ0pj9ZHHAzPxkTNaEfQsHz2hiSqgDSNJmwPn2H64a/xxwAttn1UnshhEkp4HPAP4me17JC0OPND9/ouxJK0NnGJ7pdqxtEnTR2tCSfCL5qw3lJtfdV1+bIdMJtdGSTqckshvaPu+rmuLUYr4nGp77xrxxcxJojXgJM1ujzC2Pz9TscTgkfQIsHyPYivLADenj1ZMh6Z4z0+AjSk3e2vYvkrSUcD9uVmZPUlbAD+2/cTasUT/yg6ZyWtKk/+Fsn3wS8BlzaVnU6qkCtjAdlrGNHqcxe3Ftl8134OZRtk6OPje3fV8Icoh8vso/aKSaE1A0mrAWpQbu0ttX1U5pDYSvZf4l6F0cY+YDodRetgtQym8MuIE4ItVImqhHhNrI0VDdgZOnvmIYpDYXrV2DP3C9s2SXkgp8f5JRlcCTelr+s4kWeO8ArgWOKNyHNMqidaA6/XF2MwOH0vpFxVdJC1JOdPwn4weZpWkHwK7pUDGmJknA8dJeqDj8oLAOoz2IIuYV1sBWzUHpTvHrwRWrhNSK3VPrD0K3EL5vv/UzIfTfk2LgNdT3kcLd15LFb0574rplB0yY9m+Fni5pCcCq1OSrb/bvq1uZK11CLALsDnlO+ubtq+vG9K8S6I1hGzfJOkA4PuUqnEx1uGUg6pbMrZh8ZHAF4DdKsXVJiNV4ATcOhbHhAAAEG5JREFUxthS7g8CvyOJfEyfRSnvq27LAvfPcCytlRWHuSPp/ZSGqEdRbu6+Qrkh3hw4tGJobdKdvE/EZIdMT01i9cfacbSd7Q9I2h/YDtgVOEDSGZSJ75/Yfmh2P99WOaM1pCRtCJyehrLjSboVeLXt33aNbw78yHZKsjaaIiKH2s42wZhvJP0MuMD2/pLuokyEzKJMFj1ie6eqAbaEpIWBBWzf3zW+CPCo7V7J6tCSdDmlRcAPmvfVc5qzfx8BVra9e+UQI4aWpOWAN1GSricBq9m+u25Ucy8rWgOuqywrjO7Zfycp9zuRRRnftwfg38AiMxxLq6UCY8yQ/YAzJW1E6dnzOWBtYCnKanMUJwBnMn5lYQ/gRcCrZzqglnsacG7z+D5gZOLxu814Eq2IehYHlgaWAO6mT0u+J9EafD/oem7Knv3TSMPiiZwN/LekXWzfC9CUkT6InDsaQ9KTgE9QztA8BVig83pWTGM62L5E0rrA/6P0WlmEklR82fY/qgbXLpsCB/QYPxXYf4Zj6Qf/BJ5MWR29FtgEOJ+yfbAvb+rmt+a80cvofabt4CpBxcCQtCiwE+WIxvMox1vebPs3VQObB0m0BtxI4+KYK++lVAW6oelWDrAucC+wTbWo2ukYYH3ga8CN5OYkplGTyI94kHJGctxrbP975qJqtcWAXj3FHgWeMMOx9IPTgO2B8yjfZYdJ2gnYgLItNTpIegHwc8pkx7KUhrvLN8+vAZJoxZRJOpqSZP2d8nnc3vbtdaOadzmjFdFD01BwZ2DNZuhS4PjuxoPDTtKdwNa2/1A7lhg8TaPUOf2Rsu1MGgKSfg/80vaBXeP/DWxre6M6kbWTpAUoZ9oebp6/lrIqeDlwVL8evp9fJP2W0htqb+BO4DmUNh7fBY6xfXzF8KLPNd/3s4ALmc33vu3tZyyoaZBEawhIejWwD6UnFJSk4fO2U3Ew5omkK4BX2b64diwxeJpGuxPZlnLD93C2qBaSXk5p7Px9ymoNlG29OwKvsf2zWrFF/5N0B6Vh8eWSbgc2sX1pc3byO7bXqBxi9DFJ32QSu2Jsv3X+RzN9kmgNOEn7UprlfRv4v2Z4E+CNwEdsp4QtjxUN+anth3oUEBnD9okzFFbrNTPAO1H2UPddNaDoP5LWp/Rb2YxSlvu/bd9SN6r2kLQt8GHKll4oKxCfsP2LelG1h6QNJvta2+fNz1j6jaRbgE2bROtvwN62T5H0bOBPthevHGJE6yTRGnCS/gF81PbRXeO7AwfbXr5OZO3SLFkv13Rzf3Q2L7XtBWcqrraTdCGwCqVJ8bXAmK02tterEFYMIEmrUgqv7AicSCnLfWXdqKLfdGxH1Rxemu/6LpJ+CXzb9vGSjgI2BL5ImbhdwvYmVQOMaKHsax98SwCn9xg/vbkWjC0akgIic6W7qmXEtJK0DPBRSonys4EX2k7zzwk0PbNeAawGfM327ZKeAdyWoiEApKnz1B3AaFGVD1N2ynyRcqatr7ZzRcyUrGgNOEn/A1xs+9Nd4x8A1rO9c53I2kvS420/0DxeEXg7pbfWT7ubGEfE/CPpAOD9lIpmH7R9St2I2k3S6sCvKZNoSwPPbBrwHgosbfttVQOMiBgySbQGnKQDKeXK/8DoGa0XNP8+T2kCB4Dt7iaXQ0XSsyhbktYELqBUHTyV0sTyUUrzvP+y/eNqQbZQxwz6MyiVujKDHtOi2eZ1H2UFfsItvf1WhWp+kfQzSpuFPYHbgec0idbmwLG2n1E1wJZoqsoeQmngvBAlOd3L9r+qBtYnJD2P8n3/M9v3NH0mHxip3hgRo5JoDThJV0/ypba92nwNpuUk/ZSycnUY8DrKYfvfALs3L/kisKHtF9SJsH0ygx7z06BWoZpfJP0beEFTrOAuRhOtVYBLbS9aNcCWkHQIpfn18cD9wOuBM2zvWDWwlpP0VEpVy40pn8s1mvfXUcD9tveuGmBEC+WM1oCznf3ok/cCSk+o8yWdBdwBfMX2owCSvgj8vmaALfQF4FeMzqCPOAk4tkpEMTBsv6V2DH1ooR5jK1O+z6LYAdjN9v8CSDoOOFvSgrYfqRtaqx0G3AQsQ+l3NOIEykRkRHTJof+IUctQtt1g+y5KI8bbOq7fxuhB4CheCBza4+ZkFrBChXgihtmvKD0TR1jSksBBwM/rhNRKKwGPnbe1fS7wMPnOmpOtgANs39Y1fiUlmY+ILlnRGgKSXgNsCTyFruTa9k5Vgmqv7m1K2Vs7Z5lBj2iHfYDTmx5HiwDfA1anrELku37UgsCDXWMPk3uiOVmU8b83gGUpWzAjoku+VAacpM8B76aURb4JyLaI2TtO0gPN40WAoyXd2zx/fKWY2mxkBn235nlm0CMqsX2jpOdSzhxtQJlY+xpwvO37qgbXLmLsdz2M/75PkZXxzgLeAuzfPLekBYEPUM4zR0SXFMMYcJL+RdmL/pPasbSdpEmdKcrB+1GSVmC0T9tqwF8YnUHf3PYttWKLiOgl3/VTI2kt4EzgfGAL4GfA2sBSwKZpIB4xXhKtASdpFqXAw99qxxKDSdKijJ1BP4/MoEfMCEk7TPa1tk+cn7HE4JO0HKX40YaMft9/2fY/qgYW0VJJtAacpP9H+UJ8R3pcREQMlqbX2GTY9oLzNZiIiBgjidaAk7QQpdT2BsDlwEOd122/uEZcMTia3iqb0rvYyleqBBUREdNC0qQqCtqeNedXRQyXFMMYfEcC/wGcQjk3k8w6po2kNwJfpxwuv42x7y8DSbQiIvrbNcz+3kHN9ayYRnTJitaAk3Q38Brbp9aOJQaPpGuBbwEHZ2tqRH2S1gPeB6xFufm9BDjE9kVVA4u+JWnDzqeUghhvAK7vfJ3tP89kXBH9ICtag+8W4IbaQcTAWhL4ZpKsiPokbQ+cSGnG+4tm+D+Av0jawfZPqwUXfas7gWrOBV5o+6pKIUX0jaxoDThJbwK2B95i++7a8cRgkfQl4G+2v1g7lohhJ+kC4Ee2D+waPxh4le3n1IksBomku4DnJNGKmLMkWgNO0oXAKpQiBbMYXwxjvQphxYCQtDDwY+BB4ELGv78OrhFXxDCSdD+wju0rusbXoKxALFInshgkSbQiJi9bBwffD2oHEAPtHcC2wL8ojYq7i2Ek0YqYOTdT2nlc0TW+IaUYUsR0ySx9xCQk0Rpwtg+qHUMMtI8A+9o+rHYgEcHRwFGSVgfOacY2pRTHOKRaVNHXJJ3UNbQIcLSkezsHbW8/c1FF9IdsHRwSkl7MaBWqi22fUTeiGASSbgU2tn1l7Vgihp0kAe8B9gVWaIZvpCRZRzh/8GMKJB07mdfZfuv8jiWi3yTRGnCSVgR+RNk6cmMzvALwJ0rZ9xsn+tmIOZF0KHBnzmJFtIukJwDYvqt2LBERwypbBwffEcAjwOq2rwaQtBpwXHPtvyrGFv1vMeBtkrYBLmB8MYy9qkQVMeSSYEVE1JcVrQEn6U7gRbbP6xp/HvAb20vViSwGgaTTZ3PZtl88Y8FEDKkeZ2h6yhmaiIiZlRWt4dArm06GHfPM9pa1Y4gIXgFcC5xROY6IiOiQFa0BJ+lHwLLA621f14ytDBwP3GJ7h5rxRUTEvJH0GWAX4D7gWOCbtq+vG1VERCTRGnCSVgJOAtZhbDGMC4Ht88c45oWkRYC9ga2Ap1AaYz8mDbEjZoakBYHtgF2BbSirW8cAP7H90Gx+NCIi5pMkWkOgKfn7EmDNZuhS27+uGFIMCEnfAF4DnEBJ5Md8oaSPW8TMk7Qc8CZK0vUkYDXbd9eNKiJi+OSM1hBoeqec2vyLmE6vBnZM4h7RKosDSwNLAHeTM7kREVUsMOeXRD+S9DJJ10hasse1pZprW9eILQbKvcB1tYOIGHaSFpX0ZklnUbaGPx14s+3VbN9TObyIiKGUrYMDStLPgZNtf3mC63sCr7C93cxGFoNE0l7A2sAezpdJRBWSjgZ2Av5OOZf1Xdu3140qIiKSaA0oSdcBL7H9twmuP4vSR+tpMxtZDBJJPwU2A+4ALmF8w+L07YmYzyQ9CsyirGRN+Ec9n8eIiJmVM1qDa1ng0dlcN7DMDMUSg+tfwI9qBxEx5L5NzmFFRLROEq3BdT2wHmUrSS/rATfMXDgxiGy/tXYMEcPO9ltqxxAREeNl6+CAknQ4sDWwoe37uq4tBvwJONX23jXii8EiaTVgLcqs+qW2r6ocUkRERERVSbQGlKSnAH+hbB/8EnBZc+nZwLsAARvYvqlOhDEImqqWxwD/yehWVQE/BHazfVet2CIiIiJqSqI1wCQ9HfgqsA3l5hfKisMvgXfavrpWbDEYJB0LvBB4O3BOM7wpcCRwtu3dasUWERERUVMSrSEg6YnA6pRk6++2b6scUgwISbcCr7b9267xzYEf2U7BlYiIiBhKKYYxBJrE6o+144iBtChwa4/xfwOLzHAsEREREa2RFa2ImDJJpwJ3ArvYvrcZW5xSbnpJ21vXjC8iIiKiliRaETFlktYFTgEWAy5ohtcF7gW2sX1xrdgiIiIiakqiFRHzpGkXsDOwZjN0KXB8d1uBiIiIiGGSRCsipkTSQsBxwP62r6wdT0RERESbLFA7gIjoT7YfAl5KaRkQERERER2SaEXEvDgR2KF2EBERERFtk/LuETEvZgEflrQZ8Cfgns6Ltj9fJaqIiIiIynJGKyKmTNLVs7ls26vNWDARERERLZJEKyIiIiIiYprljFZERERERMQ0yxmtiJgrko4APmT7nubxhGzvNUNhRURERLRKEq2ImFvrAgt1PJ5I9iVHRETE0MoZrYiIiIiIiGmWM1oRMWWSXi0pK+MRERERXbKiFRFTJule4D7gBOB/bJ9dOaSIiIiIVsiKVkTMi6cC7wOeAZwp6SpJH5e0ZuW4IiIiIqrKilZETAtJKwCvA94ArA+cZ3ujulFFRERE1JFEKyKmjaSFgVcCHwbWs71g5ZAiIiIiqsjWwYiYZ5K2lPR14Cbg68B5wEvqRhURERFRT1a0ImLKJB1C2S74FOAU4DjgJNsPVA0sIiIiorIkWhExZZLOpiRX37P979rxRERERLRFEq2IiIiIiIhplkajETFPJD0N2JyyfXDMuU/bn68SVERERERlWdGKiCmTtDPwDeBh4Bag8wvFtlerElhEREREZUm0ImLKJF0JfA/4iO1HascTERER0RZJtCJiyiTdTemXdVXtWCIiIiLaJH20ImJenAw8v3YQEREREW2TYhgRMS9OBT4jaW3gQuChzou2T6wSVURERERl2ToYEVMm6dHZXLbtBWcsmIiIiIgWSaIVERERERExzXJGKyIiIiIiYpol0YqIuSbpHElLdzz/lKQndTx/sqRZdaKLiIiIqC+JVkRMxQuAhTuevxNYuuP5gsCKMxpRRERERIsk0YqI6aDaAURERES0SRKtiIiIiIiIaZZEKyKmws2/7rGIiIiIIA2LI2JqBBwn6YHm+SLA0ZLubZ4/vk5YEREREe2QPloRMdckHTuZ19l+6/yOJSIiIqKNkmhFRERERERMs5zRioiIiIiImGZJtCIiIiIiIqZZEq2IiIiIiIhplkQrIiIiIiJimiXRioiIiIiImGZJtCIiIiIiIqbZ/weExQycF9M/+wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'What is your primary area of study?'\n",
    "draw_bar_chart(title, df=yes_crisis)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### The primary area of study of participants who think there is no reproducibility crisis"
     }
    ]
   },
   "source": [
    "### The primary area of study of participants who think there is no reproducibility crisis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:13.767230Z",
     "start_time": "2020-05-28T12:20:13.390212Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:13.767Z",
      "execution_time": "377ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x504 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "title = 'What is your primary area of study?'\ndraw_bar_chart(title, df=no_crisis)",
      "start_time": "2020-05-28T12:20:13.390Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'What is your primary area of study?'\n",
    "draw_bar_chart(title, df=no_crisis)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### The opinion on FAIR data principles by participants who think there is reproducibility crisis "
     }
    ]
   },
   "source": [
    "### The opinion on FAIR data principles by participants who think there is reproducibility crisis "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:14.111500Z",
     "start_time": "2020-05-28T12:20:13.772372Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:14.111Z",
      "execution_time": "339ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = yes_crisis.loc[:, 'Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Findable]':'Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Reusable]']\ncolumn_array=['Findable', 'Accessible', 'Interoperable', 'Reusable']\ndf1.columns = column_array\ntitle='Does your research follow the FAIR principles?'\ndraw_bar_chart_mul_col(column_array, title, df=df1)",
      "start_time": "2020-05-28T12:20:13.772Z"
     }
    ],
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = yes_crisis.loc[:, 'Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Findable]':'Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Reusable]']\n",
    "column_array=['Findable', 'Accessible', 'Interoperable', 'Reusable']\n",
    "df1.columns = column_array\n",
    "title='Does your research follow the FAIR principles?'\n",
    "draw_bar_chart_mul_col(column_array, title, df=df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### The opinion on FAIR data principles by participants who think there is no reproducibility crisis "
     }
    ]
   },
   "source": [
    "### The opinion on FAIR data principles by participants who think there is no reproducibility crisis "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:14.559068Z",
     "start_time": "2020-05-28T12:20:14.118922Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:14.559Z",
      "execution_time": "441ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = no_crisis.loc[:, 'Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Findable]':'Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Reusable]']\ncolumn_array=['Findable', 'Accessible', 'Interoperable', 'Reusable']\ndf1.columns = column_array\ntitle='Does your research follow the FAIR principles?'\ndraw_bar_chart_mul_col(column_array, title, df=df1)",
      "start_time": "2020-05-28T12:20:14.118Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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84eL2L3rRi/LDH/4wP/7xjzN58uR86lOfWrxuzpw5mTlzZs4555y8+tWvvs+kHe9973vzrGc9KzNnzsx5552Xt7zlLbnzzjtXz4NfTQx9BAAAxmVZQx+Xtv/++2eDDTbIBhtskM022yy//vWv873vfS8HHXRQNtxwwyTJgQceuLj9ZZddlne84x25/fbbM3/+/Oy7776L1730pS/NOuuskyc/+cnZeuutc8UVVyxxrBkzZuRrX/va4uvdFixYkOuvvz6TJ0+eqIe82glqAADAarfBBhssvr3uuutm4cKF99v+Fa94Rc4888zsuOOOOfXUU3P++ecvXrf0jIpL32+t5Stf+Uqe8pSnjL/wETH0EQAAGIk99tgjZ555Zu6+++7MmzcvX//61xevmzdvXh73uMflnnvuyec+97kltvvyl7+ce++9Nz//+c9zzTXX3CeQ7bvvvvnoRz+a1lqS5Ec/+tHqfzATTI8aAAAwErvsskte9rKXZccdd8xmm22WqVOnLl73v//3/85Tn/rUPOYxj8lTn/rUzJs3b/G6Jz7xidltt91yxx135OMf/3gmTZq0xH7f+c535o1vfGOmTJmSe++9N1tttdUyJx3pWS1KmWvIGj0YAAA82M2ePfsBde3V2mQ5r81KfRO2oY8AAACdEdQAAAA6I6gBAAB0RlADAADojKAGAADQGdPzA6whO3xmh1GXsFxfet/9f+noKE2+YvaoSwCANU6PGgAAMG5nnnlmqipXXHHFSI7/8Y9/PJ/97GeTJHvuuWcuvvji+7Q59dRT87rXvW5Nl7ZK9KgBAMCDybGbTPD+5q5Us+nTp+cZz3hGpk+fnuOOO25ia1gJr371q9f4MVcnPWoAAMC4zJ8/PxdeeGE+9alP5Qtf+MLi5R/4wAeyww47ZMcdd8wxxxyTJLn66qvz7Gc/OzvuuGN22WWX/PznP0+SfPCDH8zUqVMzZcqUvPvd706S3Hnnndl///2z4447Zvvtt88Xv/jFJMkxxxyT7bbbLlOmTMmb3/zmJMmxxx6b448/fvGxTzvttOy0007ZfvvtM3PmzPvUfMstt+Tggw/O1KlTM3Xq1Hz/+99fPU/OKtKjBgAAjMtZZ52V/fbbL9tss0023XTTXHLJJbn55ptz1lln5Qc/+EE23HDD3HbbbUmSQw89NMccc0wOOuigLFiwIPfee29mzJiRq666KjNnzkxrLQceeGAuuOCC3HLLLXn84x+fc845J0kyd+7c3HrrrfnqV7+aK664IlWV22+/fZk13XXXXZk1a1YuuOCCHHnkkbnsssuWWP+GN7whf//3f59nPOMZuf7667Pvvvtm9ux+rosW1AAAgHGZPn163vCGNyRJDjnkkEyfPj2ttbzyla/MhhtumCR51KMelXnz5uWmm27KQQcdlCSZNGlSkmTGjBmZMWNGdt555ySDHrqrrroqz3zmM/OmN70pRx99dA444IA885nPzMKFCzNp0qQcddRROeCAA3LAAQcss6aXv/zlSZI99tgjd9xxx30C3bnnnpvLL7988f077rgj8+fPz0YbbTSBz8yqE9QAAIBVdtttt+U73/lOfvKTn6Sq8oc//CFVlZe85CUrvY/WWt72trflVa961X3WXXrppfnGN76Rd7zjHdl7773zrne9KzNnzsy3v/3tnHHGGfm3f/u3fOc737nPdlV1v/fvvffeXHTRRYvDYm9cowYAAKyyM844I4cffniuu+66zJkzJzfccEO22mqrbLLJJvn0pz+du+66K8kg0G288cbZYostcuaZZyZJfve73+Wuu+7Kvvvum1NOOSXz589Pktx00025+eab84tf/CIbbrhhDjvssLzlLW/JpZdemvnz52fu3Ll53vOel3/913/Nj3/842XWteh6tgsvvDCbbLJJNtlkyUlWnvOc5+SjH/3o4vuzZs2a8OdmPPSoAQAAq2z69Ok5+uijl1h28MEHZ/bs2TnwwAOz66675iEPeUie97zn5Z//+Z9z2mmn5VWvelXe9a53Zf3118+Xv/zlPOc5z8ns2bOz++67J0k22mijnH766bn66qvzlre8Jeuss07WX3/9/Pu//3vmzZuXF7zgBVmwYEFaa/nQhz60zLomTZqUnXfeOffcc09OOeWU+6w/4YQT8trXvjZTpkzJwoULs8cee+TjH//4xD9Bq6haa2vyeGv0YAA98YXXq8YXXgPcv9mzZ2fy5MmjLoNlWM5rU8tquzRDHwEAADojqAEAAHRGUAMAAOiMoAYAANAZQQ0AAKAzghoAAEBnBDUAAGBcNtpooxW2+fCHP7z4y697NmfOnGy//fbLXLfnnnvm4osvXiN1+MJrAAB4EJno7+38yRE/mZD9fPjDH85hhx2WDTfccKW3+cMf/pB11113Qo4/1sKFC7Peen1HIT1qAADAhDj//POz55575sUvfnG23XbbHHrooWmt5YQTTsgvfvGL7LXXXtlrr72SJDNmzMjuu++eXXbZJS95yUsyf/78JMmWW26Zo48+Orvssku+/OUvZ9asWXna056WKVOm5KCDDspvf/vbJIPerTe84Q3Zaaedsv3222fmzJlJkjvvvDNHHnlkdtttt+y8884566yzkiSnnnpqDjzwwDzrWc/K3nvvnfnz52fvvffOLrvskh122GFxu2QQ5A499NBMnjw5L37xi5fZE7i8+ieKoAYAAEyYH/3oR/nwhz+cyy+/PNdcc02+//3v5/Wvf30e//jH57zzzst5552X3/zmN3nPe96Tc889N5deeml23XXXfOhDH1q8j0033TSXXnppDjnkkPzN3/xNPvCBD+S///u/s8MOO+S4445b3O6uu+7KrFmz8rGPfSxHHnlkkuS9731vnvWsZ2XmzJk577zz8pa3vCV33nlnkuTSSy/NGWecke9+97uZNGlSvvrVr+bSSy/Neeedlze96U1prSVJrrzyyvzd3/1dZs+enYc//OH52Mc+tsRjXFH9E6Hv/j4AAOABZbfddssWW2yRJNlpp50yZ86cPOMZz1iizUUXXZTLL788T3/605Mkv//977P77rsvXv+yl70sSTJ37tzcfvvt+au/+qskyRFHHJGXvOQli9u9/OUvT5LsscceueOOO3L77bdnxowZ+drXvpbjjz8+SbJgwYJcf/31SZJ99tknj3rUo5IkrbW8/e1vzwUXXJB11lknN910U379618nSZ7whCcsru2www7LCSeckDe/+c0rXf9EENQAAIAJs8EGGyy+ve6662bhwoX3adNayz777JPp06cvcx8Pe9jDVupYVXWf+621fOUrX8lTnvKUJdb94Ac/WGK/n/vc53LLLbfkkksuyfrrr58tt9wyCxYsWO5+/5T6J4KhjwAAwGq38cYbZ968eUmSpz3tafn+97+fq6++OsngurKf/exn99lmk002ySMf+ch873vfS5Kcdtppi3vXkuSLX/xikuTCCy/MJptskk022ST77rtvPvrRjy4exvijH/1omfXMnTs3m222WdZff/2cd955ue666xavu/766/Nf//VfSZLPf/7z9+kRXNn6x0OPGgAAsNpNmzYt++233+Jr1U499dS8/OUvz+9+97skyXve855ss80299nuM5/5TF796lfnrrvuytZbb51Pf/rTi9dNmjQpO++8c+65556ccsopSZJ3vvOdeeMb35gpU6bk3nvvzVZbbZWzzz77Pvs99NBD8/znPz877LBDdt1112y77baL1z3lKU/JiSeemCOPPDLbbbddXvOa1yyx7WMe85iVrn9V1aKkuYas0YMB9GSip0ueSF96332HpfRi8hWzR10CQNdmz56dyZMnj7qMNW7PPffM8ccfn1133XXUpSzXcl6bWlbbpRn6CAAA0BlDHwEAgAec888/f9QlrFZ61AAAADojqAEAAHRGUAMAAOiMoAYAANAZQQ0AABiXddddNzvttFO23377PP/5z8/tt9++Ro576qmn5nWve90y12200UZrpIbVxayPAADwIDJ724n9TrWV+T7Lhz70oZk1a1aS5IgjjsiJJ56Yf/zHf5zQOtY2etQAAIAJs/vuu+emm25afP+DH/xgpk6dmilTpuTd7353kmTOnDnZfvvtF7c5/vjjc+yxxyZJTjjhhGy33XaZMmVKDjnkkCTJzJkzs/vuu2fnnXfOX/7lX+bKK69cvO0NN9yQPffcM09+8pNz3HHHLbOmZdXQOz1qAADAhPjDH/6Qb3/72znqqKOSJDNmzMhVV12VmTNnprWWAw88MBdccEGe+MQnLncf73//+3Pttddmgw02WDyEctttt833vve9rLfeejn33HPz9re/PV/5yleSDELcZZddlg033DBTp07N/vvvn1133XXx/pZXwx577LEan4nxE9QAAIBxufvuu7PTTjvlpptuyuTJk7PPPvskGYSkGTNmZOedd06SzJ8/P1ddddX9BrUpU6bk0EMPzQtf+MK88IUvTJLMnTs3RxxxRK666qpUVe65557F7ffZZ59suummSZIXvehFufDCC+8T1JZVQ+9BzdBHAABgXBZdo3bdddeltZYTTzwxSdJay9ve9rbMmjUrs2bNytVXX52jjjoq6623Xu69997F2y9YsGDx7XPOOSevfe1rc+mll2bq1KlZuHBh3vnOd2avvfbKZZddlq9//etLtK+qJWpZ+v7yauidoAYAAEyIDTfcMCeccEL+5V/+JQsXLsy+++6bU045JfPnz0+S3HTTTbn55pvz2Mc+NjfffHNuvfXW/O53v8vZZ5+dJLn33ntzww03ZK+99soHPvCBzJ07N/Pnz8/cuXOz+eabJxnM9DjWt771rdx22225++67c+aZZ+bpT3/6EuuXV0PvDH0EAAAmzM4775wpU6Zk+vTpOfzwwzN79uzsvvvuSQZT5p9++unZbLPN8q53vSu77bZbNt9882y77bZJBte4HXbYYZk7d25aa3n961+fRzziEXnrW9+aI444Iu95z3uy//77L3G83XbbLQcffHBuvPHGHHbYYUsMe0yS5zznOcutoWfVWrv/BlWnJDkgyc2tte2Hyx6V5ItJtkwyJ8lLW2u/XYnj3f/BAB7EdvjMDqMuYbm+9L6Foy5huVZmWmiAtdns2bMzefLETsnPxFjOa1PLaru0lRn6eGqS/ZZadkySb7fWnpzk28P7AAAATIAVBrXW2gVJbltq8QuSfGZ4+zNJXjjBdQEAAKy1VvUatce21n45vP2rJI9dXsOqmpZkWpKcdNJJmTZt2ioeEujFlsecM+oSlmvO+/dfcSMAgM6NezKR1lqrquVee9ZaOznJyYvujvd4AADAklpr95mWntFa0VwgK7Kq0/P/uqoelyTDf/uf3xIAAB6EJk2alFtvvXXcwYCJ01rLrbfemkmTJq3yPla1R+1rSY5I8v7hv2etcgUAAMAq22KLLXLjjTfmlltuGXUpjDFp0qRsscUWq7z9CoNaVU1PsmeSR1fVjUnenUFA+1JVHZXkuiQvXeUKAACAVbb++utnq622GnUZTLAVBrXW2suXs2rvCa4FAACArPo1agAAAKwmghoAAEBnBDUAAIDOCGoAAACdEdQAAAA6I6gBAAB0RlADAADojKAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADojqAEAAHRGUAMAAOiMoAYAANAZQQ0AAKAzghoAAEBnBDUAAIDOCGoAAACdEdQAAAA6I6gBAAB0RlADAADojKAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOrPeqAsAmFDHbjLqCpZvqyeOugIA4AFCjxoAAEBnBDUAAIDOCGoAAACdEdQAAAA6I6gBAAB0RlADAADojKAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADojqAEAAHRGUAMAAOiMoAYAANAZQQ0AAKAzghoAAEBnBDUAAIDOCGoAAACdEdQAAAA6I6gBAAB0RlB3ysGSAAAc30lEQVQDAADojKAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6My4glpV/X1V/bSqLquq6VU1aaIKAwAAWFutclCrqs2TvD7Jrq217ZOsm+SQiSoMAABgbTXeoY/rJXloVa2XZMMkvxh/SQAAAGu3VQ5qrbWbkhyf5Pokv0wyt7U2Y+l2VTWtqi6uqotPPvnkVa8UAABgLbHeqm5YVY9M8oIkWyW5PcmXq+qw1trpY9u11k5OsiihtVU9HgAAwNpiPEMfn53k2tbaLa21e5L83yR/OTFlAQAArL3GE9SuT/K0qtqwqirJ3klmT0xZAAAAa6/xXKP2gyRnJLk0yU+G+3IRGgAAwDit8jVqSdJae3eSd09QLQAAAGT80/MDAAAwwQQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADojqAEAAHRGUAMAAOiMoAYAANAZQQ0AAKAzghoAAEBnBDUAAIDOCGoAAACdEdQAAAA6I6gBAAB0RlADAADojKAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADojqAEAAHRmvVEX8ECy5THnjLqE5Zrz/v1HXQIAADBB9KgBAAB0RlADAADojKAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADojqAEAAHRGUAMAAOiMoAYAANAZQQ0AAKAzghoAAEBnBDUAAIDOCGoAAACdEdQAAAA6I6gBAAB0RlADAADojKAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGfGFdSq6hFVdUZVXVFVs6tq94kqDAAAYG213ji3/0iS/2itvbiqHpJkwwmoCQAAYK22ykGtqjZJskeSVyRJa+33SX4/MWUBAACsvcYz9HGrJLck+XRV/aiqPllVD5ugugAAANZa4xn6uF6SXZL8r9baD6rqI0mOSfLOsY2qalqSaUly0kknZdq0aeM4JEys2dtOHnUJyzX5itmjLgEAgBEZT1C7McmNrbUfDO+fkUFQW0Jr7eQkJy+6O47jAQAArBVWeehja+1XSW6oqqcMF+2d5PIJqQoAAGAtNt5ZH/9Xks8NZ3y8Jskrx18SAADA2m1cQa21NivJrhNUCwAAABnnF14DAAAw8QQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADojqAEAAHRGUAMAAOiMoAYAANAZQQ0AAKAzghoAAEBnBDUAAIDOCGoAAACdEdQAAAA6I6gBAAB0RlADAADojKAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADojqAEAAHRmvVEXwAQ5dpNRV7B8x84ddQUAwNqo489HO2z1xFGXsFw/OeInoy6B6FEDAADojqAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADojqAEAAHRGUAMAAOiMoAYAANAZQQ0AAKAzghoAAEBnBDUAAIDOCGoAAACdEdQAAAA6I6gBAAB0RlADAADojKAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0Zd1CrqnWr6kdVdfZEFAQAALC2m4getTckmT0B+wEAACDjDGpVtUWS/ZN8cmLKAQAAYLw9ah9O8tYk905ALQAAACRZb1U3rKoDktzcWrukqva8n3bTkkxLkpNOOinTpk1b1UPyALXDZ3YYdQnL9aVRFwAAAMuwykEtydOTHFhVz0syKcnDq+r01tphYxu11k5OcvKiu+M4HgAAwFphlYc+ttbe1lrborW2ZZJDknxn6ZAGAADAn873qAEAAHRmPEMfF2utnZ/k/InYFwAAwNpOjxoAAEBnBDUAAIDOCGoAAACdEdQAAAA6I6gBAAB0RlADAADojKAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADojqAEAAHRGUAMAAOiMoAYAANAZQQ0AAKAzghoAAEBnBDUAAIDOCGoAAACdEdQAAAA6I6gBAAB0RlADAADojKAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdGa9URcAAMAD15bHnDPqEpZrzqRRV/DANHvbyaMuYbkmXzF71CWsMXrUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADojqAEAAHRGUAMAAOiMoAYAANAZQQ0AAKAzghoAAEBnBDUAAIDOCGoAAACdEdQAAAA6I6gBAAB0RlADAADojKAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADojqAEAAHRGUAMAAOiMoAYAANAZQQ0AAKAzghoAAEBnVjmoVdUTquq8qrq8qn5aVW+YyMIAAADWVuuNY9uFSd7UWru0qjZOcklVfau1dvkE1QYAALBWWuUetdbaL1trlw5vz0syO8nmE1UYAADA2mo8PWqLVdWWSXZO8oNlrJuWZFqSnHTSSZk2bdpEHBIAuD/HbjLqCpbv2LmjrgCge+MOalW1UZKvJHlja+2Opde31k5OcvKiu+M9HgAAwIPduGZ9rKr1Mwhpn2ut/d+JKQkAAGDtNp5ZHyvJp5LMbq19aOJKAgAAWLuNp0ft6UkOT/Ksqpo1/HneBNUFAACw1lrla9RaaxcmqQmsBQAAgIzzGjUAAAAmnqAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADojqAEAAHRGUAMAAOiMoAYAANAZQQ0AAKAzghoAAEBnBDUAAIDOCGoAAACdEdQAAAA6I6gBAAB0RlADAADojKAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM6sN+oCAOCBastjzhl1Ccs1Z9KoK1i+HT6zw6hLWK4vvW/hqEtYrslXzB51CcAapEcNAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADojqAEAAHRGUAMAAOiMoAYAANAZQQ0AAKAzghoAAEBnBDUAAIDOCGoAAACdEdQAAAA6I6gBAAB0RlADAADojKAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADozrqBWVftV1ZVVdXVVHTNRRQEAAKzNVjmoVdW6SU5M8twk2yV5eVVtN1GFAQAArK3G06O2W5KrW2vXtNZ+n+QLSV4wMWUBAACsvcYT1DZPcsOY+zcOlwEAADAO1VpbtQ2rXpxkv9ba3w7vH57kqa211y3VblqSacO7J7fWTh5HvTwAVdU0rzt4L8Ai3gvgfcCKjadH7aYkTxhzf4vhsiW01k5ure06/HEyrp2mrbgJrBW8F2DAewG8D1iB8QS1HyZ5clVtVVUPSXJIkq9NTFkAAABrr/VWdcPW2sKqel2SbyZZN8kprbWfTlhlAAAAa6lVDmpJ0lr7RpJvTFAtPHgZ8goD3gsw4L0A3geswCpPJgIAAMDqMZ5r1AAAAFgNBDUAAIDOCGoAAACdEdQAAGAEqmr9UddAvwQ1JlRVbVdVTxlzf5+qOr2q3lZV646yNljTqmpSVR1dVTOqalZV/ffYn1HXB2tKVb2xqh416jpglKrq9VV18Jj7n0pyd1VdOfazEyxi1kcmVFVdlOTDrbUvVNUTklyZ5PwkU5Kc1lp72yjrgzWpqk5JclCSLyf5RZIl/sNtrR03irpgTauq65I8NsnXknyytTZjxCXBGldVVyc5srV2QVXtkeScJEclOTjJw1prB4y0QLojqDGhqur2JLu11n5WVX+f5MDW2l5VtVeST7fWthxthbDmVNVtSV7aWjt31LXAKFVVJXlOklcmeUGSm5N8JskprbU5IywN1piqujvJNq21G6rqg0k2ba0dWVWTk3yvtfboEZdIZwx9ZKKtm+T3w9t7549fiP7zDP6aCmuTu5LcMOoiYNTawDdba4ck2TzJ8UkOSHJ1VX2rqg4xPJ61wB1JNhve3ifJt4e370kyaSQV0TVBjYl2WZLXVNUzMwhq/zFcvnmS34ysKhiN/5PkH4a9CUCS1tptSS5J8qMkC5NsleTEJHOqau9R1gar2Ywkn6iqTyb5syT/b7j8z5NcO7Kq6NZ6oy6AB52jk5yZ5M1JPtNa+8lw+YFJZo6sKhiNfZI8M8l+VXV5Bn81Xay1duBIqoIRqKrHJjkig+GPT0ryf5Ps11o7v6omJXlnklOG6+DB6LVJ3pvkiUlePPyjRZLskmT6yKqiW65RY8INh688vLX22zHLtkxyV2vt5lHVBWtaVX36/ta31l65pmqBUaqqryfZN4MJpj6RweRSv12qzWZJftVaM9oHIHrUmGBV9cYknx3zV6IkiYvFWRsJYrDYzUn2aK1ddD9tbslgGCQ8aA17lg9P8j+TvLO19puqenqSX7TWDH9kCXrUmFCmYIb7qqpdM/ilfHZr7c6qeliS37XWFo64NADWkKr6iwwmELk2g+vStm2tXVNVx2YwG+Rfj7I++iOoMaFMwQx/NPzL6VlJdsvgO9SePPylfFKSBa21N4y0QFiNquofVrZta+1Dq7MW6EFVnZfkgtbau6tqXpIdh78Tdk/yhdaa6zNZgqDGalNVj0pyaAahbUqS85J8KsmXW2t/GGVtsCZU1eeTPCzJK5Jcnz/+Un52ko+21iaPsj5YnapqZYdxtdba1qu1GOhAVd2RZKfh74GxQW3LJFe01kzRzxJco8Zq01q7raouSbJTku3yxymYP1hVr2itfft+dwAPfHsn2bu19tulZuj/eQazfsGDVmvN9WawpLuTPHIZy7fNYAQSLMHMSky4qnpsVb21qmYnOTfJBhlMwfxnGXyf2mczmIIZHuwemj9+AfxYj0myYA3XAsBonZXk3VW1wfB+G/amfSDJV0ZVFP0S1JhQwymYb8hgRqN/T7J5a+2w1tr5SdJaW5DkI0meMLIiYc25IINhj4u04ddXHJ3BBeWwVqiBv6uqn1bVXVW19XD5MVX10lHXB2vIm5M8KoMZTjdMcmGSq5PcnuQdI6yLThn6yEQzBTP80VuTfLeqpmbQs/wvGcz0tUmSp4+yMFjD3pDB++EDSd4/ZvlNSV6X5EujKArWpNbaHUmeUVXPyuBLrtdJcmlr7dzRVkavTCYCsBpV1f9I8pokf5HhL+UkJ7bWfjnSwmANqqorkryptXbOUpMo/HkGs+BtOuISAbqjR40JV1WPTPLcDCZLeMjYda21fxpJUTACVfXEJDe01t69rHWttetHUBaMwpOSXLaM5fdkcC0nrBWqauckeyXZLEtdgtRae+tIiqJbghoTqqqeluQbGUyU8JgMhrU8LsnvksxJIqixNrk2g/N/idm8qmrT4bp1R1EUjMA1GQz1um6p5c9LcvmaLwfWvKp6awZDf69L8usMvl9zEUPcuA9BjYn2wSSnZ3A9wh1JnpXkziTTM/gONVibVJb9y3ejmPWRtcvxSf6tqjbM4H2xe1UdnsF1a0eOtDJYc/4+yWtaayeNuhAeGAQ1JtqUJEe11lpV/SHJBsPrEI5O8vkknxttebD6VdUJw5styfuq6q4xq9dNsluSWWu8MBiR1tqnq2q9JP+cwWx3pyX5RZLXt9a+ONLiYM1ZJ2b85U8gqDHRxn5n1K8zuC5hdpL5SR4/kopgzdth+G8l+f/t3XuopVUZx/Hvz2OM3caxTKXpYjYm2kUKRzBF7a5dSUgqK3OyhC6UBBVZUmQ3ywq7iE5UlmU3hTLMMjQxsIshJU5Jo6SZ1Wg15q0ZnZ7+eN+DZ44zNtB593rP7O8HDux3rXPg98+e2c9eaz1rXzZ/X2ykayjyyUmHklpIsgPdhb7fqKrVSXYFdqgqL/jVtDkDOA44qXUQLQ52fdSCSvIj4KtV9fUkZ9J1uvss8BrgYVV1UNOA0sCSHApcUVX3JPky3YrB7a1zSa0kCd055f2qam3rPFIr/XvhQmAPuuY698ydryq3AWszXnithXYS3XYW6C5vvIWuUNsFeFOrUNIEXQos618fxrzOp9K0qe4b4WvpGkxJ0+zDwPOBe+k+Fz1q3o+0GVfUJGkBJbkVeFFV/SLJf4Ddq+qW1rmklpIcSffl3VuA35QfPjSFkqwHTvBcpraVZ9S0oJK8GrjUy3w1xc4DLkvyF7pmIlf2jXXup6r2mmgyqZ1vAzsBvwbuTbJh7mRVLW2SSpqsu4GrWofQ4uGKmhZUkhuB5cB1wE9nf6rq5gf4M2m70Z9BeCGwN/ApursDt3hGrapOm2A0qZkkxz7QfFWdPaksUiv9PWp7Am9xVVnbwkJNCy7JCuBwuvM5h3Ff4XZpVZ3QMJo0UX0zkZOB3fuhtVW1vmEkSVIjSS4ADgXW0130Pr+ZyEtb5NJ4WahpMElm74t6I13Xx5mqmmmbSpqMJI8DvgAcQdemH7qtkBcCb62qG1tlk1pKsgfzmuz4ftA06L+826qqOm5SWbQ4WKhpQSU5kG417VnAwcCtwGXctwXyhmbhpAlJshz4FfAfumJtTT/1ZODN/euVbgnWtEiyM3A6cDRb6ITql3iSdH8WalpQfZe7W+gu8/2W35JqGiU5i64oe25V3T1v7iHAj4Fr3AqsaZFkNbASeDdwPrCKblv824F3VtV3G8aTpFGyUNOCSnIK3bm0lcBaujulfkq3mvb3htGkiUlyE3BMVV22lfnDgXOq6jETDSY10r8nXlVVlyf5F/CMqlqb5FXAqqp6XuOI0iCS/BY4rKr+meRqui3wW1RVT5tcMi0GtufXgqqq9wEkeTDwTLptkG8Hvp7k2qrav2E8aVIeRddAZ2vW4uWmmi7LgNmt77cBj6R7H1wBfLFVKGkCzgM2zHntCom2mYWahrIU2BXYDZg9OL5r00TS5KwDVgA3bWV+7/53pGlxHbAXcCPwO+CVSX4JHAX8o2UwaUhV9cE5rz/QMIoWoR1aB9D2JckZSdYANwOfpivYTgP2rarlTcNJk/ND4JQkS+ZPJNkJ+BBd90dpWnwFmN3W9THgBGAj8Ang440ySROV5JIky7YwvjTJJS0yadw8o6YFleRc7juTdm3jOFITSR4NXAlsAj4H/L6f2o+u6+OOwAFV9ec2CaW2+usrDgD+AKyvqj81jiQNrm+4tkdVrZs3vhvw56p6UJtkGisLNUkaQJI96Vrzv4DN71H7Ed09ate3SSaNQ3+f2vvpmok8uHUeaShJntG/vBJ4Pptv952h+3/i+Krac8LRNHIWavq/JTlqW3+3qs4fMos0Nkl2oTuTBrC2qjyPo6nRb/P6PN2H03votj1+FjiZrlX/GuC0qjq3WUhpYP1K2uwH7mzhV+4G3lZVX5pcKi0GFmr6v/X/AG2L8lJTSZoeSb4AvAT4FnAEsC/d+cyHAh/c2hUW0vYkyePpCrTrgQPp7pudtRFYV1WbWmTTuFmoaWKSPK+qLm6dQ5I0GUluAN5QVT9JshddS/7Tq+odjaNJ0ujZ9VGDSrI8yfuSXAdc1DqPJGmiHk23vZH+XOa/gdVNE0kNJTkyyQ+SrEny2H7s+CTPaZ1N42OhpgWXZCbJUUkuBP4IvBw4k+5eKUnS9NiB7mzarE3AXY2ySE0lOQb4Nl230ycAs10eZ4B3tcql8XLroxZMkn2A44HXAXcC36A7LL5/Va1pmU2SNHn9GeaLgQ390JHAZcwr1qrqpROOJk1ckt8AH62qbya5ne7z0fVJ9gd+XFW7N46okdmxdQBtH5JcDjwFOA84evaAeJJ3Nw0mSWrp7HnP5zRJIY3D3sAVWxi/A1g64SxaBCzUtFAOomvBfFZVXdM6jCSpvao6rnUGaURuBp4E3DBv/FDgusnH0dh5Rk0LZSVd4f+zJFclObG/zFSSJElwFnB6koP758cmORY4FTijXSyNlWfUtKCS7AS8AlgFHEL3ZcB7gC9W1T9bZpMkSWopyYeBE4Gd+qENwCer6v3tUmmsLNQ0mCQruK+5yCOBS6rqyLapJEmS2knyEGA/ui+z11TVHY0jaaQs1DS4JDPAi4FVVfWy1nkkSZKksbNQkyRJkgaWZAnwZuBZwG7M6xVRVQe2yKXxsuujJEmSNLzVdDuMvgesAVwt0QNyRU2SJEkaWJL1wMtm75qV/hfb80uSJEnDWwfc2jqEFg8LNUmSJGl47wU+kmSX1kG0OLj1UZIkSRpYkqXAecDhwF+Be+bOV9VeDWJpxGwmIkmSJA3vq3T3p30G+Bs2E9H/4IqaJEmSNLAkdwLPrqpftM6ixcEzapIkSdLwbgQ2tA6hxcNCTZIkSRreicCpSVa0DqLFwa2PkiRJ0sCS3A4sAWboVtbunTtfVUtb5NJ42UxEkiRJGt5bWwfQ4uKKmiRJkiSNjCtqkiRJ0gQkWQIcQ9emv4BrgHOryiYjuh9X1CRJkqSBJdkPuAhYClzdDz8VuA04oqp+1yqbxslCTZIkSRpYkouBu4DXVtW/+rGlwDnAkqp6Qct8Gh8LNUmSJGlgSe4CVlbVNfPGnwr8vKoe2iaZxsp71CRJkqTh/RtYtoXxnfs5aTMWapIkSdLwLgBWJzk4yUz/cwhwJvD9xtk0Qm59lCRJkgaWZBlwNvASYFM/PAN8D3h9Vd3WKpvGyUJNkiRJmpAkK4B9+8c/VtXVD/T7ml5ufZQkSZIGkuQ5SY6efa6qtcCTge8AVyW5qF9tkzZjoSZJkiQN5z3AY2YfkhwIfAT4GvAuYH/gpDbRNGZufZQkSZIGkuSvwIuq6tf98yeAg6rqkP75FcApVbVPw5gaIVfUJEmSpOEsA9bNeT4YuGjO86+A5RNNpEXBQk2SJEkazl+AJwIkWQI8HbhizvzDgQ0NcmnkLNQkSZKk4fwQODXJs4GPA3cCl8+ZfxqwtkUwjduOrQNIkiRJ27GTgfOBnwB3AMdW1cY586uAi1sE07jZTESSJEkaWJKdgTuqatO88Uf04xu3/JeaVhZqkiRJkjQynlGTJEmSpJGxUJMkSZKkkbFQkyRJkqSRsVCTJEmSpJGxUJMkSZKkkfkvsq1mVme+7O4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = no_crisis.loc[:, 'Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Findable]':'Does your research follow the FAIR (Findable, Accessible, Interoperable, Reusable) principles? [Reusable]']\n",
    "column_array=['Findable', 'Accessible', 'Interoperable', 'Reusable']\n",
    "df1.columns = column_array\n",
    "title='Does your research follow the FAIR principles?'\n",
    "draw_bar_chart_mul_col(column_array, title, df=df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### How easy it is to find all the experimental data related to own project in order to reproduce the results at a later point in time for the participants who think there is reproducibility crisis?"
     }
    ]
   },
   "source": [
    "### How easy it is to find all the experimental data related to own project in order to reproduce the results at a later point in time for the participants who think there is reproducibility crisis?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:15.092345Z",
     "start_time": "2020-05-28T12:20:14.564539Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:15.092Z",
      "execution_time": "528ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = yes_crisis.loc[:,'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)? [Input Data]':'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)? [Results]']\ncolumn_array = ['Input Data', 'Metadata about the methods', 'Metadata about the steps', 'Metadata about the experimental setup', 'Results']\ndf1.columns = column_array\ntitle = 'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)?'\ndraw_bar_chart_mul_col(column_array, title, df=df1)",
      "start_time": "2020-05-28T12:20:14.564Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = yes_crisis.loc[:,'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)? [Input Data]':'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)? [Results]']\n",
    "column_array = ['Input Data', 'Metadata about the methods', 'Metadata about the steps', 'Metadata about the experimental setup', 'Results']\n",
    "df1.columns = column_array\n",
    "title = 'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)?'\n",
    "draw_bar_chart_mul_col(column_array, title, df=df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### How easy would it be for a newcomer to find all the experimental data related to project/experiment without any/limited instructions from the participants who think there is reproducibility crisis?"
     }
    ]
   },
   "source": [
    "### How easy would it be for a newcomer to find all the experimental data related to project/experiment without any/limited instructions from the participants who think there is reproducibility crisis?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:15.677621Z",
     "start_time": "2020-05-28T12:20:15.096887Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:15.677Z",
      "execution_time": "581ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = yes_crisis.loc[:,'How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you? [Input Data]':'How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you? [Results]']\ncolumn_array = ['Newcomer Input Data', 'Newcomer Metadata about the methods', 'Newcomer Metadata about the steps', 'Newcomer Metadata about the experimental setup', 'Newcomer Results']\ndf1.columns = column_array\ntitle = 'How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you?'\ndraw_bar_chart_mul_col(column_array, title, df=df1)",
      "start_time": "2020-05-28T12:20:15.096Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = yes_crisis.loc[:,'How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you? [Input Data]':'How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you? [Results]']\n",
    "column_array = ['Newcomer Input Data', 'Newcomer Metadata about the methods', 'Newcomer Metadata about the steps', 'Newcomer Metadata about the experimental setup', 'Newcomer Results']\n",
    "df1.columns = column_array\n",
    "title = 'How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you?'\n",
    "draw_bar_chart_mul_col(column_array, title, df=df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### How easy it is to find all the experimental data related to own project in order to reproduce the results at a later point in time for the participants who think there is no reproducibility crisis?"
     }
    ]
   },
   "source": [
    "### How easy it is to find all the experimental data related to own project in order to reproduce the results at a later point in time for the participants who think there is no reproducibility crisis?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:16.212445Z",
     "start_time": "2020-05-28T12:20:15.682415Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:16.212Z",
      "execution_time": "530ms",
      "outputs": [
       {
        "data": {
         "image/png": 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57t/TsQGW0z6ch1EG3wJxAepkEhXTZvwFm/yObynD53DCa3O+aXmOOVR98lM+Adusn7wFHYv67DPoNcIt52/cczHB530H98szr3qyoDznjgrsB7B1/P95LeuNvZ3Wu2z9BZsOAjd4vb4MO27+XTj1PdxnNt3mOE7Dkn/YgV2JxsABx3GKvd77HBslBzsoTsJ+O73OLbRfuP/W+2xXohnQ2BhztOQf9pvdnwAYY1obY94xxvzHGPMdMAMbGcVxnPex03+fA74yxsw3xlzipvsK8EtjTD3gLnf/XwQ45nDy3Rj4xnGcYwGOvSwaYxuXdzqR5pt+Y/fvZsBfvcr6G2zDC+c4Qp1/3/368xIwyBhjgHuxAaAfsOe0JqXLorzl609j77TdYzhwBun/xyut790/L3b3861T+n7sgOfXGFPXGPOCMeZzt36vAxpG8HlXgfLZDFveX3jVhRew3xD50wx4y2vdXdjg60/ctI9iZ2W1x3aOvs6kPoaqU196/V3g5/XFXvsK2Ne4/uP19/dA7UD3VRtjqhtjZhpjctxzl+suujxEfiFEH2CMucUY85Ex5hs3n72DpRusnwzCe//NgDt9yuZ67IXSd18/Mca8Zow56O7rlRD7CpZ2mdpLAKXaNqXrVymO42zCntckY0xb7Ae8Ff7ScRwnH/utULh9RKh6GiyfHwKtjTE/wQacXwauNsZcjv1Wap3XdoHadDj58i2brx3HKQyUxyBlcAX2w9UWr3P6d/d9sF/O5ATJU1n5tstAxxtO/g/4rH/Aa32H09vFmfZPQfPo/l2D0v2QN99z1Az4g097uprS5zVS5zxU+QRzNXbM9K2fZeEcQyhHHMcp8npdUi9C1U1/fI8p4HkPMe4sN8dxPsMGfaa56b5mjPFbHsaYa4wxa40xXxtj8rBfjoZz3SnZvjzXi5Jty3RtIsTYwRWqTvm7RjSmfOPGcPuScJS1Lw6lLGOZa3zaz2DsF4n+fIsN3JQI+3qP/z6gLA+fLsAGLfa4fcsMbJ0J5Ihz6mHJBe7/gcoh1LU/UB8RTKD68TR2xslq94HJ4wMlYIx5xBizy32o8lHsDJWw2yeRaTP+BBrfhjM2LhFOmwuWt/LUJ7/npBxj0RIhrxGO4+Ri7zhoju3rfQX7THOm5y6S/UB5+rv62Ik2JQZgA+uzw9g2Ig8IP4QdAHun1RQbBQMbtOmGDdx8gL2fOREbtPkgQJoHsNHEhl7/6juOU9IZPY+93aSV4ziXYBuAKdnYcZy5juN0xEZpW2Off4RjH4T3IXaq3r3Y2UuBhJPvQ8ClxhjvDtv72I9jK2+JQJ0+2KmkV/ukEy4nzPV80z/k/n0Ae6uUd3nXcRwnnJ87DHX+Q+bPcZyPsFHxbsAgTp2Xw9job7MAaZelfP3l45B32m6w62qfvEfCF0AjN8hZItj5/QP2m+1r3Pp9Q0kWy7jfcOtFiQPYmU2Xe9WDSxzHiQ6y/i0+9aa2284wxsRjbw9ZDMz1s/2Z1MeyHlsgofqaUHzzMQh7u8VN2MFEc/f9cM5dwD7AGFML++3fLOAnbtB/lVe6/sojaD8ZgHc6B7DfdHqXTT3HcWb62W6Gu22Mu68hPvvyzV+wtMvaXvwde6m2Ten65c9Lbp7vBd7w+uDt20fUw36jcxDb/0DwPihUPQ2YT/eDyhbsFOwsx3F+xN4S8HvsrJTDIdIOJlDb85fnYGXg7TB20BPtdU4bOI5TMpA5gJ0G7k+k2rM/4eTfe/+l2qHXdaHEmfZP4dbXIkoPKIOlcQA7O9g7T3Udx1nstU6kznmo8gl2XT6AHTM19HNM4RxDeYWqm/74K+OA5z3QuJOyjVNOqxuO47zqOM712PPhYG939OdVbJD8asdxGmBv7wl2ffBVnutFea9NQccOYebZ3zXiEKHHjWVRkf1SpNM/AHzgU6YXO44zMsD6mdh66r19uNf7L7C3BAGePqCJn/UCyaT0sUeyHMp67fdWpnw4jnPMcZw/OI7TEvv8198bY7r7rmeM6YZ9TMdd2FmdDbG3lAdqXxXRZsrzeSDcsXE4bS7Y/s+0PnkLNRYNJOQ1whjTBzvb6Z/4/xXHYJ9pzrS/C1dZ+4GQjDFXYW+l/NTr7SsJv11FJNhU8q3wOGNMTWNMEnZK12sAjuNkY0/gEGwBfIcdQA0gcLApHThmjHnUGFPHnS3Q3hjT2V1eH3v/YL77TbSnEI0xnd1veGpiL/KF2GnbJV7GNvoY7HMR/Aon347jHMAO/p8yxtQ2xsRiH/L1iptMBtDbGHOpMean2G+oAnkdmGCMaWSMaYK99SdcX2Lvpw1lrJv+1dgPMEvc9+e5+44GMMY0MMbcGea+g57/MngZ+83gCcdxNgA49puM14EnjTH1jTHNsB+0vMv3BmNMU2NMA+wUz2B8y+l1oI8xprtbX/6ADbaEE2QLm+M4n2NvzXnMGHORMeZ6bBkFUh9b944aYy4FppZz119j6344dQPHzvJbDfzZGHOJMaaaMeZnxphfBNhkHvbcNAMwxlxhjLnV/bs29jxNxN47fJUxZpTP9hVRH8sqVF8Tim+dqo+tQ0ewHzBmlCEvrwNjjDFNjDGNsA8ULHER9tbSr4EiY8wt2NvsvPNxmdsOvPPit58MU8lM0J5uudQ29udz/Q0C6mNvt85zL0xjfZb7llPAtMvRXvwd+2JgklsnL8c+d+AVv1ufys/t2P7+ZZ907jPGxLsfqmYAmxzHyXUc52vsYGqIewzDCBxMCSRUPj8AHubUtTLN53V5PeTWs0uxvwi0JMi6AcvAeyXHzgx9EZht3J/CNcZcZYzp6a6ywE2nu9u3XOXWSwj/GlYeYeXfy0og2hjT39hveMdQOkBwpv2Tv355MfA7Y0wLY8zFbh6XOKW/gQ/mReBBd+xjjDH1jDF9TOkvwiJ1zkOVT8DrsnuNeRf4H7fvr2mMKfkyJZxj8BZ2nQmjboYj4Hk3wcedGUB/Y2cs/xw7Rgyk1DEZY9oYY250z0Ehpx7y60997KyxQmNMF+wXHyXCGQuU93pRnmtTwLFDGZVcI7phHy6/NIxxY1l8CTQxxlxUjm3DTT9S/d472Jmw97rtqqZbL6MCrL8K++V5ibJc71cCMcaY29w+4CFCf9nr7X+x/UtLY0xd7FjnnTJsH0xZr/3eynQ+jDF9jTE/N8YYbPDoJP7bZ33slwdfAzWMMVOAYDMfK6LN+EszmLDHxhFoc2dan7yFGov6Feoa4dal/4d9nMFQbFvxDbxNdvv5aOznHu/PNJHo78JR1n7Al7828AvgfcfecVTiz9jzFJYzDja537b+EvtrU4exD1v9leM4u71W+wA7dfGA12sDbA2Q5knshSMe+2Dfw9iTXNJIHsFeSI9hK4f3oOkS971vsdPYjlA6AvkW7pQ259QU10DCyfc92NkLh9y0pzqOs8Zd9n/YX3TIxX6IDza4e8zN7z533WCzrnwtANoZO2VueZD13sZ+U56BbdwLABzHeQv7bdlrxk47zMKez5DCPP/h+D/s7Va+ndNo7OBtL3Z22avYX9HAcZz3sGWa6R5XqIvVU9iL0FFjzCOO43yK/XD5jJv3XwK/dI8p0gZh74H+Bhs8ejnIunOwD4k7jH2o3N/Ls0O3fj8J/Ms95mvD2OxX2MFjya8WvYH/adRgf11jBXYK8TE3r9e4y57C3l75vNtBDQGeMMa08to+4vWxrMLoa0IpVaew5/VzbBBiJ7ZMwvUi9hkJ27F9jCcY7thbdcdgL+jfYuvTCq/lu7GDrL1uXhoTvJ8Mye33bsUGDL/GfmMyFv/XjcewDxPOw55L30C+b9sLlXbY7SXAsT+BDVhlYp8ZttV9L9ixbsV+u7Te6/012OeALMN++/YzYKDXpsPdfB/BPm+urIHqUPn8ADt4WhfgdXm9ir3O7MXe2hasbEKVgbdHsbcVfOS23TXYWZo4jpOOHYDNxtaTDzj1TehfgTuMMd8aY/zNgiy3MuYfx84YuxP7ox1HsA8D/ZfX8jPqnwL0ywux18B12H6okDJ84eQ4zmZsXXwW2z98hn3OhbeInPMwyifUdfle7Lfgu7HPS/ltGY7B2zTgJbcM7wqyXomAdTMcIc57sHHnbOzM7S+xMygXBdmN71iuFracD2NvffgvAn+pNgqY7l6Lp2CvFSV5D2csUK7rRTmvTcHGDuH6j7u/Q9gyfdBr3Blw3FhG72N/ceo/xpgzmUkaiO/4odzc89AD204PYcun5KH//vwNaOuej5DXe2PMPGPMPHfdkj7gv7F1vR32OvaDu243Y0x+kLwuxF7TN2Hbyw/YOhQJZbr2+wj3s1SJVth+JB9718z/OI6z1s96/8CO4/dgj7eQILdNVUSbCZBmsPXLOjYud5sLVZ/KKNRYNJhg14j52F9JX+U4zhHslwb/zxhzmdf2H7jb/xOY5TjOavf9SPR3YSlHP+BrGqdfVwdjA2bexuD/8Sh+lTwQ9YJijMnBTodeE3JlqRTGmDrYgWcHd1aZnMeMMQ52uv5nVZ0XEQBjzELgkOM4k6o6LxXJGJOLffDmGV//jL19+iT24dj7zzQ9qRiRPOciVc3YGfSvOI5T3lttBDDGjMA+1DnYXRfhpFMN+4ydwQGCLSJhO9fqkzGmOTYgV7MMs5HPCcbesfWC4zhdzyQdvw+5PZ8ZYwZgv71+v6rzIqWMBD5WoElEKps7WOiP/ZlYCV977Le0/wm1ooiInD0cx5lf3m3d24s2YW/tHIu966MsM7lFPFSfzk6O42Rin1N1Ri6oYJMxJg07Pe9ex/+v4EkVcL91NdifqBQRqTTGmMeB3wFPOY6zr6rzc65wv7iZDzxaQbcei4jI2akr9lapkscu3OY4TkHwTUQCUn06j12Qt9GJiIiIiIiIiEjFiMSv0YmIiIiIiIiIiAAKNomIiIiIiIiISARdUM9sknOe7vkUEREREZELmanqDIiEQzObREREREREREQkYhRsEhERERERERGRiFGwSUREREREREREIkbBJhERERERERERiRg9IFxERERE5AJy4sQJ/v3vf1NYWFjVWRGRAGrXrk2TJk2oWbNmVWdFpFyM4+gHvuScocoqIiIicob27dtH/fr1ueyyyzBGP2wlcrZxHIcjR45w7NgxWrRo4btYjVbOCbqNTkRERETkAlJYWKhAk8hZzBjDZZddptmHck5TsElERERE5AKjQJPI2U1tVM51CjaJiIiIiEiluvjiiyOeZm5uLq+++mrAZXXq1CEhIYGoqCi6dOlCampqyDQzMjJYtWpVhHMqInL+0wPCRUREREQuYM3Hr4xoerkz+0Q0vbD36wabBg0a5Hf5z372M7Zt2wbA3r176d+/P47jcN999wVMMyMjg82bN9O7d+8KybOIyPlKM5tERERERKRKpKWlkZSUxB133EHbtm0ZPHgwJT9g1Lx5c8aNG0dMTAxdunThs88+AyAlJYU33njDk0bJLKnx48ezfv164uPjmT17dtD9tmzZkr/85S/MnTsXgPT0dLp27UpCQgLXXXcdn376KT/++CNTpkxhyZIlxMfHs2TJEr/riYjI6TSzSUREREREqsy2bdv45JNPaNy4MYmJifzrX//i+uuvB6BBgwbs2LGDl19+md/+9re88847AdOZOXMms2bNCrqOtw4dOrB7924A2rZty/r166lRowZr1qxh4sSJLFu2jOnTp7N582aeffZZAL777ju/64mISGkKNomIiIiISJXp0qULTZo0ASA+Pp7c3FxPsOmee+7x/P+73/0uovstmUEFkJeXx9ChQ8nOzsYYw4kTJ/xuE+56IiIXOt1GJyIiIiIiVaZWrVqev6tXr05RUZHntfcvcpX8XaNGDYqLiwEoLi7mxx9/LNd+t23bRlRUFACTJ08mOTmZrKws/va3vwX8yflw1xMRudAp2CQiIiIiImelJUuWeP7v2rUrYJ/ltGXLFgBWrFjhmV1Uv359jh07Fla6ubm5PPLII4wePRqwM5auuuoqgFK/UuebZqD1RESkNAWbRERERETkrPTtt98SGxvLX//6V89Dv4cPH84HH3xAXFwcH374IfXq1QMgNjaW6tWrExcX5/cB4Tk5OSQkJBAVFcVdd93FmDFjPL9EN27cOCZMmEAcYw6pAAAgAElEQVRCQkKpmVXJycns3LnT84DwQOuJiEhpxvteZZGznCqriIiIyBnatWuX5/axs1nz5s3ZvHkzl19+eVVnRaRKBGirxt+6ImcbzWwSEREREREREZGI0a/RiYiIiIjIWSc3N7eqsyAiIuWkmU0iIiIiIiIiIhIxCjaJiIiIiIiIiEjEKNgkIiIiIiIiIiIRo2c2iYjIhWNagyref17V7l9EREREpBJoZpOIiIiIiFQqYwxDhgzxvC4qKuKKK66gb9++QbfLyMhg1apVZd5fUlISmzdvDrrOnDlz+P7778uctj8pKSm88cYbEUlrxowZYS3Lzc2lffv2EdlneaSmpnLo0CHP6+bNm3P48OFyp3em24tI1dLMJhERERGRC1mkZ32GMYuzXr16ZGVlUVBQQJ06dXjvvfe46qqrQm6XkZHB5s2b6d27dyRyWsqcOXMYMmQIdevWjXjaZ2LGjBlMnDixzMsqW2pqKu3bt6dx48ZVnRUROQtoZpOIiIiIiFS63r17s3LlSgAWL17MPffc41l2/Phxhg0bRpcuXUhISODtt9/mxx9/ZMqUKSxZsoT4+HiWLFlCeno6Xbt2JSEhgeuuu45PP/0UgIKCAgYOHEhUVBS33347BQUFnrRHjhxJp06diI6OZurUqQDMnTuXQ4cOkZycTHJycsD1fL344ot07tyZuLg4BgwYUGpm1Jo1a+jUqROtW7fmnXfeAaCwsJD77ruPmJgYEhISWLt2LWADNQ8//LBn2759+5KWlsb48eMpKCggPj6ewYMHl9q3v2UnT55k+PDhREdH06NHD89x5+Tk0KtXLzp27Ei3bt3YvXv3accybdo0hg4dSrdu3WjWrBlvvvkm48aNIyYmhl69enHixAkAtmzZwi9+8Qs6duxIz549+eKLL3jjjTfYvHkzgwcPJj4+3rPfZ555hg4dOhATE+PZ5zfffMNtt91GbGws1157LZmZmQAcOXKEHj16EB0dza9//Wscx/HUhT59+hAXF0f79u1ZsmSJ33MhImcXBZtERERERKTSDRw4kNdee43CwkIyMzO55pprPMuefPJJbrzxRtLT01m7di1jx47lxIkTTJ8+nbvvvpuMjAzuvvtu2rZty/r169m2bRvTp0/3zPJ5/vnnqVu3Lrt27eKxxx5jy5YtpdLevHkzmZmZfPDBB2RmZjJmzBgaN27M2rVrPQEgf+v56t+/Px9//DHbt28nKiqKBQsWeJbl5uaSnp7OypUrefDBByksLOS5557DGMOOHTtYvHgxQ4cOpbCwMGAZzZw5kzp16pCRkcGiRYtCLsvOzuahhx7ik08+oWHDhixbtgyAESNG8Mwzz7BlyxZmzZrFqFGj/O4vJyeH999/nxUrVjBkyBCSk5PZsWMHderUYeXKlZw4cYLRo0fzxhtvsGXLFoYNG8Yf//hH7rjjDjp16sSiRYvIyMigTp06AFx++eVs3bqVkSNHMmvWLACmTp1KQkICmZmZzJgxg1/96lcAPPbYY1x//fV88skn3H777ezfvx+Av//97zRu3Jjt27eTlZVFr169ApaXiJw9dBudiIiIiIhUutjYWHJzc1m8ePFpt8WtXr2aFStWeAIUhYWFnuCDt7y8PIYOHUp2djbGGM/sm3Xr1jFmzBjPfmJjYz3bvP7668yfP5+ioiK++OILdu7cWWp5WdbLyspi0qRJHD16lPz8fHr27OlZdtddd1GtWjVatWpFy5Yt2b17Nxs2bGD06NEAtG3blmbNmrFnz57yFJ9fLVq0ID4+HoCOHTuSm5tLfn4+Gzdu5M477/Ss98MPP/jd/pZbbqFmzZrExMRw8uRJT2AnJiaG3NxcPv30U7Kysrj55psBO5PqyiuvDJif/v37e/Ly5ptvArBhwwZPEOzGG2/kyJEjfPfdd6xbt86zTp8+fWjUqJFn33/4wx949NFH6du3L926dSt3+YhI5VGwSUREREREqkS/fv145JFHSEtL48iRI573Hcdh2bJltGnTptT6mzZtKvV68uTJJCcn89Zbb5Gbm0tSUlLQ/e3bt49Zs2bx8ccf06hRI1JSUvzOLAp3vZSUFJYvX05cXBypqamkpaV5lhljSq3r+9pbjRo1KC4u9rwONtspmFq1ann+rl69OgUFBRQXF9OwYUMyMjLC3r5atWrUrFnTk+dq1apRVFSE4zhER0fz4Ycflik/1atXp6ioqKyHA0Dr1q3ZunUrq1atYtKkSXTv3p0pU6aUKy0RqTy6jU5ERERERKrEsGHDmDp1KjExMaXe79mzJ88884znuT3btm0DoH79+hw7dsyzXl5enufB4qmpqZ73b7jhBl599VXAzj4quQXuu+++o169ejRo0IAvv/ySd99917ONd9rB1vN27NgxrrzySk6cOHHabW5Lly6luLiYnJwc9u7dS5s2bejWrZtnvT179rB//37atGlD8+bNycjIoLi4mAMHDpCenu5Jp2bNmp4ZW76CLStxySWX0KJFC5YuXQrYQN727duDbhNImzZt+Prrrz3BphMnTvDJJ58Ap5+bQLzLIC0tjcsvv5xLLrmk1Dl79913+fbbbwE4dOgQdevWZciQIYwdO5atW7eWK+8iUrkUbBIRERERkSrRpEkTz+1u3iZPnsyJEyeIjY0lOjqayZMnA5CcnMzOnTs9DwgfN24cEyZMICEhodTMmZEjR5Kfn09UVBRTpkyhY8eOAMTFxZGQkEDbtm0ZNGgQiYmJnm1GjBhBr169SE5ODrqet8cff5xrrrmGxMRE2rZtW2pZ06ZN6dKlC7fccgvz5s2jdu3ajBo1iuLiYmJiYrj77rtJTU2lVq1aJCYm0qJFC9q1a8eYMWPo0KFDqXzFxsae9oDwUMu8LVq0iAULFhAXF0d0dDRvv/120PUDueiii3jjjTd49NFHiYuLIz4+no0bNwJ2lteDDz5Y6gHh/kybNo0tW7YQGxvL+PHjeemllwD7LKd169YRHR3Nm2++SdOmTQHYsWMHXbp0IT4+nscee4xJkyaVK+8iUrlMybcFIucAVVYROTOR/nnvMu8/9M+Bi4hUtF27dhEVFVXV2RCREAK01cD3Y4qcRTSzSUREREREREREIkbBJhERERERERERiRgFm0REREREREREJGIUbBIRERERERERkYhRsElERERERERERCJGwSYREREREREREYkYBZtERERERKRSGWMYMmSI53VRURFXXHEFffv2DbpdRkYGq1atKvP+kpKS2Lx5c9B15syZw/fff1/mtP1JSUnhjTfeiEhaM2bMCGtZbm4u7du3j8g+vdN89dVXI5qmiFwYalR1BkREREREpOrEvBQT0fR2DN0Rcp169eqRlZVFQUEBderU4b333uOqq64KuV1GRgabN2+md+/ekchqKXPmzGHIkCHUrVs34mmfiRkzZjBx4sQyL4uEkmDToEGDKmwfInJ+0swmERERERGpdL1792blypUALF68mHvuucez7Pjx4wwbNowuXbqQkJDA22+/zY8//siUKVNYsmQJ8fHxLFmyhPT0dLp27UpCQgLXXXcdn376KQAFBQUMHDiQqKgobr/9dgoKCjxpjxw5kk6dOhEdHc3UqVMBmDt3LocOHSI5OZnk5OSA6/l68cUX6dy5M3FxcQwYMKDUzKg1a9bQqVMnWrduzTvvvANAYWEh9913HzExMSQkJLB27VoAUlNTefjhhz3b9u3bl7S0NMaPH09BQQHx8fEMHjy41L79LTt58iTDhw8nOjqaHj16eI47JyeHXr160bFjR7p168bu3btPO5YPPviA+Ph44uPjSUhI4NixY4wfP57169cTHx/P7NmzOXnyJGPHjqVz587ExsbywgsvAJCWlsYNN9xAnz59aNOmDQ8++CDFxcWcPHmSlJQU2rdvT0xMDLNnzw5eKUTkvKGZTSIiIiIiUukGDhzI9OnT6du3L5mZmQwbNoz169cD8OSTT3LjjTeycOFCjh49SpcuXbjpppuYPn06mzdv5tlnnwXgu+++Y/369dSoUYM1a9YwceJEli1bxvPPP0/dunXZtWsXmZmZdOjQwbPfJ598kksvvZSTJ0/SvXt3MjMzGTNmDH/5y19Yu3Ytl19+ecD1YmNjSx1D//79GT58OACTJk1iwYIFjB49GrCzgtLT08nJySE5OZnPPvuM5557DmMMO3bsYPfu3fTo0YM9e/YELKOZM2fy7LPPkpGREXJZbm4u2dnZLF68mBdffJG77rqLZcuWMWTIEEaMGMG8efNo1aoVmzZtYtSoUbz//vul0ps1axbPPfcciYmJ5OfnU7t2bWbOnMmsWbM8wbL58+fToEEDPv74Y3744QcSExPp0aMHAOnp6ezcuZNmzZrRq1cv3nzzTVq0aMHBgwfJysoC4OjRo+FUDRE5DyjYJCIiIiIilS42Npbc3FwWL1582m1xq1evZsWKFcyaNQuwM4L2799/Whp5eXkMHTqU7OxsjDGcOHECgHXr1jFmzBjPfryDRK+//jrz58+nqKiIL774gp07d54WRAp3vaysLCZNmsTRo0fJz8+nZ8+enmV33XUX1apVo1WrVrRs2ZLdu3ezYcMGTzCqbdu2NGvWLGiwqaxatGhBfHw8AB07diQ3N5f8/Hw2btzInXfe6Vnvhx9+OG3bxMREfv/73zN48GD69+9PkyZNTltn9erVZGZmep5HlZeXR3Z2NhdddBFdunShZcuWANxzzz1s2LCB7t27s3fvXkaPHk2fPn08gSkROf8p2CQiIiIiIlWiX79+PPLII6SlpXHkyBHP+47jsGzZMtq0aVNq/U2bNpV6PXnyZJKTk3nrrbfIzc0lKSkp6P727dvHrFmz+Pjjj2nUqBEpKSkUFhaWe72UlBSWL19OXFwcqamppKWleZYZY0qt6/vaW40aNSguLva89revcNSqVcvzd/Xq1SkoKKC4uJiGDRv6nR3lbfz48fTp04dVq1aRmJjIP/7xj9PWcRyHZ555plRQDextdP6Ot1GjRmzfvp1//OMfzJs3j9dff52FCxeW69hE5NyiZzaJiIiIiEiVGDZsGFOnTiUmpvRDynv27MkzzzyD4zgAbNu2DYD69etz7Ngxz3p5eXmeB4unpqZ63r/hhhs8v6KWlZVFZmYmYG+7q1evHg0aNODLL7/k3Xff9WzjnXaw9bwdO3aMK6+8khMnTrBo0aJSy5YuXUpxcTE5OTns3buXNm3a0K1bN896e/bsYf/+/bRp04bmzZuTkZFBcXExBw4cID093ZNOzZo1PTO2fAVbVuKSSy6hRYsWLF26FLABo+3bt5+2Xk5ODjExMTz66KN07tyZ3bt3n1bePXv25Pnnn/fsc8+ePRw/fhywt9Ht27eP4uJilixZwvXXX8/hw4cpLi5mwIABPPHEE2zdujVoXkXk/KFgk4iIiIiIVIkmTZp4bnfzNnnyZE6cOEFsbCzR0dFMnjwZgOTkZHbu3Ol5QPi4ceOYMGECCQkJFBUVebYfOXIk+fn5REVFMWXKFDp27AhAXFwcCQkJtG3blkGDBpGYmOjZZsSIEfTq1Yvk5OSg63l7/PHHueaaa0hMTKRt27alljVt2pQuXbpwyy23MG/ePGrXrs2oUaMoLi4mJiaGu+++m9TUVGrVqkViYiItWrSgXbt2jBkzptQzpkaMGEFsbOxpDwgPtczbokWLWLBgAXFxcURHR/P222+fts6cOXNo3749sbGx1KxZk1tuuYXY2FiqV69OXFwcs2fP5te//jXt2rWjQ4cOtG/fngceeMBT7p07d+bhhx8mKiqKFi1acPvtt3Pw4EGSkpKIj49nyJAhPPXUU0HzKSLnD1PybYHIOUCVVUTOzLQGVbz/vKrdv4gIsGvXLqKioqo6G3IeSUtLK/UgcYmMAG018P2YImcRzWwSEREREREREZGI0QPCRUREREREpNySkpJCPpxdRC4smtkkIiIiIiIiIiIRo2CTiIiIiIiIiIhEjIJNIiIiIiIiIiISMQo2iYiIiIiIiIhIxCjYJCIiIiIilcoYw5AhQzyvi4qKuOKKK+jbt2/Q7TIyMli1alWZ95eUlMTmzZuDrjNnzhy+//77MqftT0pKCm+88UZE0poxY0ZYy3Jzc2nfvn1E9llZevfuzdGjRyt0H8HKz1vz5s05fPjwGe1r+fLl7Ny584zSEDlf6NfopEIZYxYCfYGvHMdp7773NPBL4EcgB7jPcZyKvcqIiIiIiF+72kZFNL2o3btCrlOvXj2ysrIoKCigTp06vPfee1x11VUht8vIyGDz5s307t07ElktZc6cOQwZMoS6detGPO0zMWPGDCZOnFjmZWczx3FwHKdcgcOyqswyWr58OX379qVdu3aVsj+Rs5lmNklFSwV6+bz3HtDecZxYYA8wobIzJSIiIiJVq3fv3qxcuRKAxYsXc88993iWHT9+nGHDhtGlSxcSEhJ4++23+fHHH5kyZQpLliwhPj6eJUuWkJ6eTteuXUlISOC6667j008/BaCgoICBAwcSFRXF7bffTkFBgSftkSNH0qlTJ6Kjo5k6dSoAc+fO5dChQyQnJ5OcnBxwPV8vvvginTt3Ji4ujgEDBpSaGbVmzRo6depE69ateeeddwAoLCzkvvvuIyYmhoSEBNauXQtAamoqDz/8sGfbvn37kpaWxvjx4ykoKCA+Pp7BgweX2re/ZSdPnmT48OFER0fTo0cPz3Hn5OTQq1cvOnbsSLdu3di9e/dpx+KvzAFmz57NsGHDANixYwft27fn+++/Z9q0adx777107dqVVq1a8eKLL3rSevrpp+ncuTOxsbGessvNzaVNmzb86le/on379hw4cMAzmyg3N5e2bduSkpJC69atGTx4MGvWrCExMZFWrVqRnp4eNI+pqan079+fXr160apVK8aNGxewjG677TY6duxIdHQ08+fP93teS5w8eZKUlBTat29PTEwMs2fPDlieGzduZMWKFYwdO5b4+HhycnJKzag7fPgwzZs39+T31ltvJSkpiVatWvHYY48FzYfIuUgzm6RCOY6zzhjT3Oe91V4vPwLuqMw8iYiIiEjVGzhwINOnT6dv375kZmYybNgw1q9fD8CTTz7JjTfeyMKFCzl69ChdunThpptuYvr06WzevJlnn30WgO+++47169dTo0YN1qxZw8SJE1m2bBnPP/88devWZdeuXWRmZtKhQwfPfp988kkuvfRSTp48Sffu3cnMzGTMmDH85S9/Ye3atVx++eUB14uNjS11DP3792f48OEATJo0iQULFjB69GjABlfS09PJyckhOTmZzz77jOeeew5jDDt27GD37t306NGDPXv2BCyjmTNn8uyzz5KRkRFyWW5uLtnZ2SxevJgXX3yRu+66i2XLljFkyBBGjBjBvHnzaNWqFZs2bWLUqFG8//77pdILVOa/+c1vSEpK4q233uLJJ5/khRde8Mz+yszM5KOPPuL48eMkJCTQp08fsrKyyM7OJj09Hcdx6NevH+vWraNp06ZkZ2fz0ksvce211552PJ999hlLly5l4cKFdO7cmVdffZUNGzawYsUKZsyYwfLlywPmEeyst23btlGrVi3atGnD6NGj/ZbfwoULufTSSykoKKBz584MGDCAyy67zG/5Z2RkcPDgQbKysgA8t/wFKs9+/frRt29f7rgj9Meb9PR0srKyqFu3Lp07d6ZPnz506tQp5HYi5woFm6SqDQOWVHUmRERERKRyxcbGkpuby+LFi0+7LW716tWsWLGCWbNmAXZG0P79+09LIy8vj6FDh5KdnY0xhhMnTgCwbt06xowZ49mPd5Do9ddfZ/78+RQVFfHFF1+wc+fO04JI4a6XlZXFpEmTOHr0KPn5+fTs2dOz7K677qJatWq0atWKli1bsnv3bjZs2OAJRrVt25ZmzZoFDTaVVYsWLYiPjwegY8eO5Obmkp+fz8aNG7nzzjs96/3www+nbRuozKOiokhNTSU2NpYHHniAxMREzza33norderUoU6dOiQnJ5Oens6GDRtYvXo1CQkJAOTn55OdnU3Tpk1p1qyZ30BTSd5jYmIAiI6Opnv37hhjiImJITc3N2geAbp3706DBg0AaNeuHZ9//jlXX331afuZO3cub731FgAHDhwgOzs7YLCpZcuW7N27l9GjR9OnTx969OgRdnmGcvPNN3v2279/fzZs2KBgk5xXFGySKmOM+SNQBCwKss4IYATACy+8wIgRIyopdyJSUZqPX1ll+86tXWW7FhERP/r168cjjzxCWloaR44c8bzvOA7Lli2jTZs2pdbftGlTqdeTJ08mOTmZt956i9zcXJKSkoLub9++fcyaNYuPP/6YRo0akZKSQmFhYbnXS0lJYfny5cTFxZGamkpaWppnmTGm1Lq+r73VqFGD4uJiz2t/+wpHrVq1PH9Xr16dgoICiouLadiwod/ZUd4ClTlAdnY2F198MYcOHSr1vr9jdByHCRMm8MADD5RalpubS7169cLKe7Vq1Tyvq1WrRlFRUdA8btq06bRjL9nGW1paGmvWrOHDDz+kbt26JCUlBS3rRo0asX37dv7xj38wb948Xn/9debMmRNWeULp8+q7n7LUD5FzkZ7ZJFXCGJOCfXD4YMdxnEDrOY4z33GcTo7jdFKgSUREROT8MmzYMKZOneqZ0VKiZ8+ePPPMM5QME7dt2wZA/fr1OXbsmGe9vLw8z4PFU1NTPe/fcMMNvPrqq4CdfZSZmQnY2+7q1atHgwYN+PLLL3n33Xc923inHWw9b8eOHePKK6/kxIkTLFpU+vvTpUuXUlxcTE5ODnv37qVNmzZ069bNs96ePXvYv38/bdq0oXnz5mRkZFBcXMyBAwc8zygCqFmzpmfGlq9gy0pccskltGjRgqVLlwI2YLN9+/bT1gtU5nl5eYwZM4Z169Zx5MiRUr+y9/bbb1NYWMiRI0dIS0ujc+fO9OzZk4ULF5Kfnw/AwYMH+eqrr4LmMVyB8hiMdxnl5eXRqFEj6taty+7du/noo4+Cbnv48GGKi4sZMGAATzzxBFu3bg1anr71s3nz5mzZsgXgtF8nfO+99/jmm28oKChg+fLlpWaMiZwPFGySSmeM6QWMA/o5jhOZ35cVERERkXNOkyZNPLe7eZs8eTInTpwgNjaW6OhoJk+eDEBycjI7d+70PCB83LhxTJgwgYSEhFIzWUaOHEl+fj5RUVFMmTKFjh07AhAXF0dCQgJt27Zl0KBBpT7gjxgxgl69epGcnBx0PW+PP/4411xzDYmJibRt27bUsqZNm9KlSxduueUW5s2bR+3atRk1ahTFxcXExMRw9913k5qaSq1atUhMTKRFixa0a9eOMWPGlHrG1IgRI4iNjT3tAeGhlnlbtGgRCxYsIC4ujujoaM+DtcMp89/97nc89NBDtG7dmgULFjB+/HhP8Cg2Npbk5GSuvfZaJk+eTOPGjenRoweDBg2ia9euxMTEcMcdd5QKwJyJQHkMxruMevXqRVFREVFRUYwfPz7gLX0lDh48SFJSEvHx8QwZMoSnnnoKCFyeAwcO5OmnnyYhIYGcnBweeeQRnn/+eRISEjh8+HCptLt06cKAAQOIjY1lwIABuoVOzjsmyKQSkTNmjFkMJAGXA18CU7G/PlcLKJkr/ZHjOA+GkZwqq8h5oGpvoxtUZfsGYFpe1e5fRATYtWsXUVFRVZ0NOcdNmzaNiy++mEceeaSqs3LOSU1NLfWg+0ACtFXdbyfnBD2zSSqU4zj3+Hl7QaVnREREREREREQqhYJNIiIiIiIiUibTpk2r6iycs1JSUkhJSanqbIhUKD2zSUREREREREREIkbBJhERERERERERiRgFm0REREREREREJGIUbBIRERERERERkYhRsElERERERCpV9erViY+Pp3379vzyl7/k6NGjEU0/NTWVhx9+GIDly5ezc+fOiKYvIiLB6dfoREREREQuYM89+H5E03to3o0h16lTpw4ZGRkADB06lOeee44//vGPEc1HieXLl9O3b1/atWtXIemLiMjpNLNJRERERESqTNeuXTl48KDn9dNPP03nzp2JjY1l6tSpABw/fpw+ffoQFxdH+/btWbJkCQDNmzfn8OHDAGzevJmkpKRSaW/cuJEVK1YwduxY4uPjycnJYe7cubRr147Y2FgGDhxYOQcpInKB0cwmERERERGpEidPnuSf//wn999/PwCrV68mOzub9PR0HMehX79+rFu3jq+//prGjRuzcuVKAPLy8sJK/7rrrqNfv3707duXO+64A4CZM2eyb98+atWqFfHb90RExNLMJhERERERqVQFBQXEx8fz05/+lC+//JKbb74ZsMGm1atXk5CQQIcOHdi9ezfZ2dnExMTw3nvv8eijj7J+/XoaNGhQ7n3HxsYyePBgXnnlFWrU0HfvIiIVQcEmERERERGpVCXPbPr8889xHIfnnnsOAMdxmDBhAhkZGWRkZPDZZ59x//3307p1a7Zu3UpMTAyTJk1i+vTpANSoUYPi4mIACgsLw9r3ypUreeihh9i6dSudO3emqKioYg5SROQCpmCTiIiIiIhUibp16zJ37lz+/Oc/U1RURM+ePVm4cCH5+fkAHDx4kK+++opDhw5Rt25dhgwZwtixY9m6dStgn9m0ZcsWAJYtW+Z3H/Xr1+fYsWMAFBcXc+DAAZKTk/nTn/5EXl6eZ18iIhI5mjcqIiIiIiJVJiEhgdjYWBYvXsy9997Lrl276Nq1KwAXX3wxr7zyCp999hljx46lWrVq1KxZk+effx6AqVOncv/99zN58uTTHg5eYuDAgQwfPpy5c+fy2muvcf/995OXl4fjOIwZM4aGDRtW1qGKiFwwjOM4VZ0HkXCpsoqcB5qPX1ll+86tPajK9g3AtPAeaCsiUpF27dpFVFRUVWdDREII0FZNVeRFpKx0G52IiIiIiIiIiESMgk0iIiIiIm6cXJkAACAASURBVCIiIhIxCjaJiIiIiIiIiEjEKNgkIiIiInKB0XNbRc5uaqNyrlOwSURERETkAlK7dm2OHDmiD7MiZynHcThy5Ai1a9eu6qyIlFuNqs6AiIiIiIhUniZNmvDvf/+br7/+uqqzIiIB1K5dmyZNmlR1NkTKTcEmEREREZELSM2aNWnRokVVZ0NERM5juo1OREREREREREQiRsEmERERERERERGJGAWbREREREREREQkYhRsEhERERERERGRiFGwSUREREREREREIkbBJhERERERERERiRgFm0REREREREREJGIUbBIRERERERERkYhRsElERERERERERCJGwSYREREREREREYmYGlWdARERETm/Pffg+1W274fm3Vhl+5azz662UVW6/6jdu6p0/yIiIpVFM5tERERERERERCRiFGwSEREREREREZGIUbBJREREREREREQiRsEmERERERERERGJGAWbREREREREREQkYhRsEhERERERERGRiFGwSUREREREREREIkbBJhERERERERERiRgFm0REREREREREJGIUbBIRERERERERkYhRsElERERERERERCJGwSYREREREREREYkYBZtERERERERERCRiFGwSEREREREREZGIUbBJREREREREREQiRsEmERERERERERGJGAWbREREREREREQkYhRsEhERERERERGRiFGwSUREREREREREIkbBJhERERERERERiRgFm0REREREREREJGIUbBIRERERERERkYhRsElERERERERERCJGwSYREREREREREYkYBZtERERERERERCRiFGwSEREREREREZGIUbBJREREREREREQiRsEmERERERERERGJGAWbREREREREREQkYhRsEhERERERERGRiFGwSUREREREREREIkbBJqlwxpiFxpivjDFZXu9daox5zxiT7f7fqCrzKCIiIiIiIiKRoWCTVIZUoJfPe+OBfzqO0wr4p/taRERERERERM5xCjZJhXMcZx3wjc/btwIvuX+/BNxWqZkSERERERERkQqhYJNUlZ84jvOF+/d/gJ9UZWZEREREREREJDIUbJIq5ziOAzj+lhljRhhjNhtjNs+fP7+ScyYiIiIiIiIiZVWjqjMgF6wvjTFXOo7zhTHmSuArfys5jjMfKIky+Q1IiYiIiIiIiMjZQzObpKqsAIa6fw8F3q7CvIiIiIiIiIhIhCjYJBXOGLMY+BBoY4z5tzHmfmAmcLMxJhu4yX0tIiIiIiIiIuc43UYnFc5xnHsCLOpeqRkRERERERERkQqnmU0iIiIiIiIiIhIxCjaJiIiIiIiIiEjEKNgkIiIiIiIiIiIRo2CTiIiIiIiIiIhEjIJNIiIiIiIiIiISMQo2iYiIiIiIiIhIxCjYJCIiIiIiIiIiEaNgk4iIiIjI/2/v3qM1q8v7gH8fZlDjXYh3QLBiEhE0hmiQKorWaGKxsa5EE6yXNmO9YprWaLtSL21X0ibxQmobUPASL21EU40kRiKgaUyshrgkSrRyFe93Il64Pf3jfacehjNnBufHu/fM+XzWOmv23u+e9X7XYg7nvN/9288GAIZRNgEAAAAwjLIJAAAAgGGUTQAAAAAMo2wCAAAAYBhlEwAAAADDKJsAAAAAGEbZBAAAAMAwyiYAAAAAhlE2AQAAADCMsgkAAACAYZRNAAAAAAyjbAIAAABgGGUTAAAAAMMomwAAAAAYRtkEAAAAwDDKJgAAAACGUTYBAAAAMIyyCQAAAIBhlE0AAAAADKNsAgAAAGAYZRMAAAAAwyibAAAAABhG2QQAAADAMFunDgAAm8WRbzhysvc+/ynnT/beAABsLlY2AQAAADCMsgkAAACAYZRNAAAAAAyjbAIAAABgGGUTAAAAAMMomwAAAAAYRtkEAAAAwDDKJgAAAACGUTYBAAAAMIyyCQAAAIBhlE0AAAAADKNsAgAAAGAYZRMAAAAAwyibAAAAABhG2QQAAADAMMomAAAAAIZRNgEAAAAwjLIJAAAAgGGUTQAAAAAMo2wCAAAAYBhlEwAAAADDKJsAAAAAGEbZBAAAAMAwyiYAAAAAhlE2AQAAADCMsgkAAACAYZRNAAAAAAyjbAIAAABgGGUTAAAAAMMomwAAAAAYRtkEAAAAwDDKJiZTVb9SVR+vqr+tqrdW1S2mzgQAAADsGWUTk6iquyd5XpKju/u+SbYkeeK0qQAAAIA9pWxiSluT/FBVbU1yyySfmzgPAAAAsIeUTUyiuz+b5LeTXJbk80m+2d3vnTYVAAAAsKe2Th2Azamq7pDkcUkOS/KNJG+rqhO7+007nLctybYkOeWUU7Jt27aVZwUAxjnyDUdO9t5/MNk7A9u9+l+ePdl7P/v3jp/svWGzUTYxlUcmubi7v5wkVfWOJA9Ocr2yqbtPTXLq9t2VJgQAAABuNLfRMZXLkvxUVd2yqirJI5JcMHEmAAAAYA8pm5hEd38oyRlJzktyfhb/Fk/d8C8BAAAAs+c2OibT3S9O8uKpcwAAAADjWNkEAAAAwDDKJgAAAACGUTYBAAAAMIyyCQAAAIBhlE0AAAAADKNsAgAAAGAYZRMAAAAAwyibAAAAABhG2QQAAADAMMomAAAAAIZRNgEAAAAwjLIJAAAAgGGUTQAAAAAMo2wCAAAAYBhlEwAAAADDKJsAAAAAGEbZBAAAAMAwyiYAAAAAhlE2AQAAADCMsgkAAACAYZRNAAAAAAyjbAIAAABgGGUTAAAAAMMomwAAAAAYRtkEAAAAwDDKJgAAAACGUTYBAAAAMIyyCQAAAIBhlE0AAAAADKNsAgAAAGCYrVMHAAAANq9DX3jmZO99yW/+7GTvDbAvs7IJAAAAgGGUTQAAAAAMo2wCAAAAYBhlEwAAAADDKJsAAAAAGEbZBAAAAMAwyiYAAAAAhlE2AQAAADCMsgkAAACAYZRNAAAAAAyjbAIAAABgGGUTAAAAAMMomwAAAAAYRtkEAAAAwDDKJgAAAACGUTYBAAAAMIyyCQAAAIBhlE0AAAAADKNsAgAAAGAYZRMAAAAAwyibAAAAABhG2QQAAADAMMomAAAAAIZRNgEAAAAwjLIJAAAAgGGUTQAAAAAMo2wCAAAAYBhlEwAAAADDKJsAAAAAGEbZBAAAAMAwyiYAAAAAhlE2MZmqun1VnVFVf1dVF1TVMVNnAgAAAPbM1qkDsKm9Ksl7uvsJVXWzJLecOhAAAACwZ5RNTKKqbpfkoUmemiTdfVWSq6bMBAAAAOw5t9ExlcOSfDnJ66rqb6rqtVV1q6lDAQAAAHtG2cRUtiZ5QJL/3t0/nuTKJC/c8aSq2lZVH6mqj5x66qmrzggAAADcSG6jYyqXJ7m8uz+03D8j65RN3X1qku0tU68oGwAAAPADsrKJSXT3F5J8pqp+ZHnoEUk+MWEkAAAAYAArm5jSc5O8efkkuouSPG3iPAAAAMAeUjYxme7+aJKjp84BAAAAjOM2OgAAAACGUTYBAAAAMIyyCQAAAIBhlE0AAAAADKNsAgAAAGAYZRMAAAAAwyibAAAAABhG2QQAAADAMMomAAAAAIZRNgEAAAAwjLIJAAAAgGGUTQAAAAAMo2wCAAAAYBhlEwAAAADDKJsAAAAAGEbZBAAAAMAwyiYAAAAAhlE2AQAAADCMsgkAAACAYZRNAAAAAAyjbAIAAABgGGUTAAAAAMMomwAAAAAYRtkEAAAAwDDKJgAAAACGUTYBAAAAMIyyCQAAAIBhlE0AAAAADKNsAgAAAGAYZRMAAAAAwyibAAAAABhm69QBAICb3gU/+mPTvfnDXj3dewMAsHJWNgEAAAAwjLIJAAAAgGGUTQAAAAAMo2wCAAAAYBhlEwAAAADDKJsAAAAAGEbZBAAAAMAwyiYAAAAAhlE2AQAAADCMsgkAAACAYZRNAAAAAAyjbAIAAABgGGUTAAAAAMMomwAAAAAYRtkEAAAAwDDKJgAAAACGUTYBAAAAMIyyCQAAAIBhlE0AAAAADKNsAgAAAGAYZRMAAAAAwyibAAAAABhG2QQAAADAMMomAAAAAIZRNgEAAAAwjLIJAAAAgGGUTQAAAAAMo2wCAAAAYBhlEwAAAADDKJsAAAAAGEbZBAAAAMAwyiYmVVVbqupvqurdU2cBAAAA9pyyiamdlOSCqUMAAAAAYyibmExVHZTkZ5O8duosAAAAwBjKJqb0yiQvSHLd1EEAAACAMbZOHYDNqaoem+RL3f3XVfWwDc7blmRbkpxyyinZtm3bihICwD7sJbeb7r0PO2S694YdTfm98JJvTvfeADcxZRNTOTbJCVX1M0lukeS2VfWm7j5x7UndfWqSU7fvrjgjAAAAcCO5jY5JdPeLuvug7j40yROTnL1j0QQAAADsfZRNAAAAAAzjNjom193nJjl34hgAAADAAFY2AQAAADCMsgkAAACAYZRNAAAAAAyjbAIAAABgGGUTAAAAAMMomwAAAAAYRtkEAAAAwDDKJgAAAACGUTYBAAAAMIyyCQAAAIBhlE0AAAAADKNsAgAAAGAYZRMAAAAAwyibAAAAABhG2QQAAADAMMomAAAAAIZRNgEAAAAwjLIJAAAAgGGUTQAAAAAMo2wCAAAAYBhlEwAAAADDKJsAAAAAGEbZBAAAAMAwyiYAAAAAhlE2AQAAADCMsgkAAACAYZRNAAAAAAyjbAIAAABgGGUTAAAAAMMomwAAAAAYRtkEAAAAwDBbpw4AAADA6lzwoz823Zs/7NXTvTewMlY2AQAAADCMsgkAAACAYZRNAAAAAAyjbAIAAABgGGUTAAAAAMMomwAAAAAYRtkEAAAAwDDKJgAAAACGUTYBAAAAMIyyCQAAAIBhlE0AAAAADKNsAgAAAGAYZRMAAAAAwyibAAAAABhG2QQAAADAMMomAAAAAIZRNgEAAAAwjLIJAAAAgGGUTQAAAAAMo2wCAAAAYBhlEwAAAADDKJsAAAAAGEbZBAAAAMAwyiYAAAAAhlE2AQAAADCMsgkAAACAYZRNAAAAAAyjbAIAAABgGGUTAAAAAMMomwAAAAAYRtkEAAAAwDDKJiZRVQdX1TlV9Ymq+nhVnTR1JgAAAGDPbZ06AJvWNUl+tbvPq6rbJPnrqjqruz8xdTAAAADgB2dlE5Po7s9393nL7b9PckGSu0+bCgAAANhTyiYmV1WHJvnxJB+aNgkAAACwp9xGx6Sq6tZJ3p7k+d19xTqvb0uyLUlOOeWUbNu2bcUJGeHINxw52Xv/wW9cM9l7/9jfXTDZewPzd+gLz5zsvS+5xWRvvam9+l+ePdl7P/v3jp/svVnfpL8fTfbOwGahbGIyVbV/FkXTm7v7Heud092nJjl1++6qsgEAAAA/GLfRMYmqqiSnJbmgu18+dR4AAABgDGUTUzk2yZOTHF9VH11+/czUoQAAAIA94zY6JtHd/ztJTZ0DAAAAGMvKJgAAAACGUTYBAAAAMIyyCQAAAIBhlE0AAAAADKNsAgAAAGAYZRMAAAAAwyibAAAAABhG2QQAAADAMMomAAAAAIZRNgEAAAAwjLIJAAAAgGGUTQAAAAAMo2wCAAAAYBhlEwAAAADDKJsAAAAAGEbZBAAAAMAwyiYAAAAAhlE2AQAAADCMsgkAAACAYZRNAAAAAAyjbAIAAABgGGUTAAAAAMMomwAAAAAYRtkEAAAAwDDKJgAAAACGUTYBAAAAMIyyCQAAAIBhlE0AAAAADKNsAgAAAGAYZRMAAAAAwyibAAAAABhG2QQAAADAMMomAAAAAIZRNgEAAAAwjLIJAAAAgGGUTQAAAAAMo2wCAAAAYBhlEwAAAADDKJsAAAAAGEbZBAAAAMAwyiYAAAAAhlE2AQAAADCMsgkAAACAYZRNAAAAAAyjbAIAAABgGGUTAAAAAMMomwAAAAAYRtkEAAAAwDDKJgAAAACGUTYBAAAAMIyyCQAAAIBhlE0AAAAADKNsAgAAAGAYZRMAAAAAwyibAAAAABhG2QQAAADAMMomAAAAAIZRNgEAAAAwjLIJAAAAgGGUTQAAAAAMo2wCAAAAYBhlEwAAAADDKJuYTFU9uqo+WVWfrqoXTp0HAAAA2HPKJiZRVVuSvDrJY5LcJ8mTquo+06YCAAAA9pSyiak8MMmnu/ui7r4qyf9I8riJMwEAAAB7SNnEVO6e5DNr9i9fHgMAAAD2YtXdU2dgE6qqJyR5dHf/i+X+k5M8qLufs8N525JsW+6e2t2nrjYpc1BV2/y3Z7PzfQALvhfA9wEwf1Y2MZXPJjl4zf5By2PX092ndvfRyy8/UDevbbs+BfZ5vg9gwfcC+D4AZk7ZxFQ+nOTwqjqsqm6W5IlJ3jVxJgAAAGAPbZ06AJtTd19TVc9J8qdJtiQ5vbs/PnEsAAAAYA8pm5hMd/9xkj+eOgd7BbdQgu8D2M73Avg+AGbOgHAAAAAAhjGzCQAAAIBhlE0AAAAADKNsAgBglqrqkKqqdY5XVR0yRSZYtaq679QZAG4sZRMAAHN1cZI7rnP8gOVrsBl8rKo+VFW/XFW3mToMwO5QNgGzU1Wnr/fLVFXdqqpOnyITTKGqnl9VB0ydAyZUSdZ7ms2tk3x3xVlgKkck+UCSlyX5fFW9vqoeMnEmgA15Gh0wO1V1bZK7dveXdjj+w0m+0N1bp0kGq1VVlya5c5J3JXltd7934kiwElV18nLz2Ulel+Tba17ekuSBSa7q7mNXnQ2mUlVbkjw2ydOS/EySS5KcluSN3f35CaMB3ICVTcBsVNUBVXVgFley77Dc3/51xyx+wfritClhpQ5N8rgk1yV5Z1VdWlUvq6pDpwwFK3Dk8quS/Nia/SOT3CvJeUmeOlU4mEJ3X9vd70zy80lekOSQJL+R5JKqelNV3XXSgABrWNkEzEZVXZf1b5fYrpO8uLv/04oiwWwsb6f7pSyuaB+V5Jwsrmi/rbuvnTIb3FSq6nVJTuruK6bOAlOrqgckeXqSJyX5TpLXZ/Fz4G5JXprktt39wMkCAqyhbAJmo6qOy+Iq9tlJ/mmSr615+aokl3b356bIBnNQVQ9O8s+zKJ0uT3KHLG4vemp3v2/KbADcNKrqeVlcaDgiyXuSvDbJmWsvNFTVwUkuNmoAmAtlEzA7VXWPJJe1/0FBqurOSZ6SxQeNeyR5Rxbzm86tqlsk+fUkJ3b3PSaMCcNU1bt299zuPuGmzAJzUFUXZ7GC6fSdXXSrqpsleXJ3n7bScAA7oWwCZmG5NHy3dPd5N2UWmIuq+qMkP53kk0lek+T3u/vrO5xzpywG55vDyD5heevcbunup92UWWAOqqpcgAP2NsomYBbWzGuqXZza3b1lBZFgclV1WpLXdPdfbXBOJTmkuy9dXTIAVqWqHpLku9394eX+k7O4pfrjSf5Nd397o78PMAVlEzALy1vndosP1WxmVbV/d189dQ4AVqOqzkvysu7+X1V1eJK/TfKGJMcmeX93P2vSgADrUDYBwEwth8J+trvfvtw/LYv5TRcmOaG7PzllPrip7Wp+k5lNbAZVdUWS+3f3RVX1oiT/sLt/tqqOyeKJpAdNHBHgBjytAJidXc1vMrOJTeR5WTzmOlX10CQ/n+QXs3ha4+8keex00WAlvrrD/v5J7pfk4CyG5cNm0Em2jxA4PskfLbc/m+TASRIB7IKyCZijj+SG85vWLsM0s4nN4u5JLl5u/+MsrmD/QVWdn+TPp4sFq7GzAeBV9TtJrlhxHJjKR5L826p6b5LjkjxzefzQJF+YKhTARjy5Bpijw5Lcc/nnYUnuneSJSc6PlRxsLlckudNy+x8led9y++okt5gkEczDKUmePXUIWJFfSfKgLJ5K+pvd/enl8Sck+cvJUgFswMomYHZ2MgD801X1zSQvTvInK44EU3lvktcsh8PeK9//t39Evr/iCTajH5k6AKxKd38syX3WeelFSa5ZcRyA3aJsAvYmFye5/9QhYIWeneQ/JTkkyRO6+2vL4w9I8tbJUsGKVNXJOx5Kctckj0ly+uoTwXx095VTZwDYGU+jA2anqg7Y8VAWHy5ekuSe3b3hAHEA9g1Vdc4Oh65L8uUkZyc5vbut6mBTqKonJ3lSFhcfbrb2te6+9yShADZgZRMwR1/J9QeCJ4vC6TNJfmH1cWB6VXWX3PADxmUTxYGV6O6HT50BplZVv5rk17OY2XR8FjPLDk/y4CSvmDAawE5Z2QTMTlUdt8Oh7VeyP+0qNptJVd0uyclJfj47FE1J0t2ezMg+bVmybu3uy3c4flCSq7v7i9Mkg9Wpqk8m+fXl00j/Psn9uvuiqnpxkrt19zMmjghwA55GB8xOd79/h68/7+6/UzSxCf12kvsl+SdJvpvkF5P8mySXxyo/Noc3ZTGfaUc/neT3V5wFpnJwkr9abn8nyW2X22/O4ol0ALOjbAJmp6qeU1UnrnP8xKp61hSZYCKPSfLc7v7TJNcm+evufnmSFyZxJZvN4OgkH1jn+J8vX4PN4AtJfni5fWmSBy2375nFmAGA2VE2AXP0/CzmM+3okiS/stooMKnbZ/HBIkm+meTA5fZfZjGrA/Z1W5PcfJ3jt9jJcdgXnZPkscvt1yd5RVWdleR/JvnDqUIBbMSAcGCODsr3P2CvdfnyNdgsLsziyvVlSS5I8sSq+j9JHp/ka1MGgxX5UJJnLr/WenaSD68+DkziGUm2JEl3v7qqvpHk2CRnJvlvUwYD2BllEzBHX0hy/yxWMq31gCyeVAebxeuTHJXk3CS/meTdSZ6Txcrk50+WClbn3yU5u6qOSnL28tjxSX48ySMnSwUrtJxZec2a/TdnMa8JYLbcRgfM0VuSnFxV/6iq9l9+PSrJK+OXKzaR7n5Fd5+83D47yY9mMRj8/t39u5OGgxXo7r9KckySi7NY0ff45fYx3f3BKbPBTa2qXlZVt1yz/6iqusWa/dtW1enTpAPYWHX31BkArqeq9k/yxiw+VF+7PLxfkrcleXJ3Xz1VNliFqvpgkp/p7m8s938jyW9199eW+z+c5LzuPmTCmADchKrq2iR37e4vLfevyOJiw0XL/Tsn+Vx3b5kwJsC6lE3AbFXV4VncTpckH+3u/ztlHliVqrouyV18wGAzqqoD1hSrB2x07vbzYF+0zs+Cv09yPz8LgL2BmU3AbC3LJQUTeLQ1m8tXqmr7B+yvJFnvymgtj/uQDQAzpGwCZqGqTk7you6+crm9U939vBXFAmD1Hp7vP23x4VMGAQB+MMomYC6OTLL/cvuorH8lOxsch31J54b/1v3bZ7N4SpLzkvx9Fv/uP7h8GhdsRv+iqr613N6a5KlVtf3JvLeZKBPALpnZBMxCVR2S5DPtf0qwfU7HWUm+tzz0mCTvT/Lt5f7NkzzSnA72RVV1VZJDuvsLOw5Ihs2kqi7Pblxo6O6DVxAH4EZRNgGzsPYDRVWdneTx25/EBZtNVb1ud87r7qfd1Flg1arqU1k8ffS9Sc5J8nNJvr7eud39gRVGAwB2k7IJmIWq+kaSB3f3J5arOu7c3V+eOhcAq1VVj0vy2iQHZrGqY2cD8tvqPgCYJ2UTMAtVdUaSf5jkgiTHJflgkqvWO7e7j19hNAAmUFW3z2JQ+BFJ1r2Nrru/utJQAMBuMSAcmIsnJ3l6kntlUTZ9Mt+fTwPAJlFVpyc5qbu/UVUPT/J/DQgHgL2LlU3ALKwdEF5V5yT5OTObADYfA8IBYO9nZRMwFxcnuWsWt0powQE2r0uSPLeq3pvFvKZjqsqAcADYi1jZBMzCDgPCr01yFwPCATYfA8Lh+pZzLV+b5E/bhzdgL6FsAmbBgHAA1jIgHBaq6n8mOSHJV5K8LsnruvviaVMBbEzZBMxCVf1Qvj8g/KQsfplad0B4dz93hdEAmEhVHZfkLwwIZ7OrqjskOTHJ05IcleQDWax2ent3f2/KbADrUTYBs2NAOMDmVVUHdPfXtm9vdO7282Azqar7Z3GB7peTfCfJW5Kc3N2fmjQYwBrKJgAAZmPtE+iq6rqs/9CIiplNbEJVdeckT8mibDooyduzeMDKw5O8oLtfMWE8gP/P0+iAWaiqk5O8qLuvXG7vVHc/b0WxAFi947OY1ZQsPkDDplZVW5L84ywKpkcn+dskr0ry5u6+YnnOzyU5PYmyCZgFZRMwF0cm2X/N9s5YjgmwD+vu96+3DZvY55LcPMlbk/xUd5+3zjnnJvnWKkMBbMRtdAAAzEZVHbK753b3ZTdlFpiDqnpmkjd097oPTgGYI2UTMCvLp9K9IMk/TXLPLFYyXZTkbUl+p7u/M2E8AG5iG8xpugEzm9jXVdXWLIaA37+7Pz51HoDd5TY6YDaWv1CdneQBSd6T5MwshsDeJ8m/T/KYqjrOI7AB9mk/uWb73kn+S5LfS/KXy2PHJHlGkl9bcS5Yue6+pqoui89twF7GyiZgNqrqWUlemuRhO169q6r7Jjknyb/v7v8+RT4AVquq3p/kd7v7jB2OPyHJSd39kGmSwepU1dOTPCHJid39tV2dDzAHyiZgNqrq7CTv6u5X7uT1f5Xksd19/GqTATCFqvpOkvt196d2OH7vJB/t7ltOkwxWp6r+Jsm9sniQyqVJrlz7enc/YIpcABuxHBOYkyOSPH+D1/8syQtXlAWA6V2S5Fm54c+GZ2XxoRs2g3dPHQDgxrKyCZiNqroqyT26+/M7ef2uSS7t7putNhkAU6iqRyf5wyyKpb9aHn5QkkOTPL67/2SiaADABvabOgDAGluSbDT8+7rlOQBsAt39niSHJ3lHktsuv96R5N6KJjaTqrp5Vf2TqvrVqrrd8tihVXX7qbMBrMfKJmA2lo+7PivJ93Zyys2TPNKjrgGAzaKq7pnF70cHJLlNFmXrRVX18iS37u5tkwYEWIeZTcCcvGE3znnjTZ4CAGA+XpXk3CTPSPL1NcffmeS0KQIB7IqyCZiN7n7a1BkAAGbmwUmO6e5r8bbb5QAAC29JREFUqmrt8UuT3H2aSAAbM7MJAABgvirJ/uscPyjJN1ecBWC3KJsAAJilqrplVfl9lc3urCQnrdnvqrp1kpcmMSgfmCUDwgEAmJ2q2pLku0nu192fmDoPTKWqDspiZtNVWTyd8SPLP7+W5CHd/cXp0gGsz8wmAABmp7uvrapLk9xs6iwwpe6+vKrul+SXkjwgi7tT3pDk97v7yknDAeyElU0AAMxSVT0lyZOSnNjdX5k6D6xSVT2yu/9s6hwAPwhlEwAAs1RV5yc5LIvhyJcnud4qju4+aopcsApVdV2SS5KcluT13f3ZaRMB7D630QEAMFdnTB0AJnREkn+e5LlJXlJV703y2iTv6u5rJ00GsAtWNgEAAMxUVW1NckKSpyf56SRfzWJm0+nd/ckpswHsjLIJAIBZq6rjk9wnSSf5eHefO20imEZV3S3JU5M8Lck9k/xFdz900lAA61A2AQAwS1V19yR/mOQnknxuefhuWTz6/ee6+3M7+7uwr6qq2yd5cpKXJLl9d2+ZNhHADe03dQAAANiJk5Ncm+Re3X1wdx+c5PDlsZMnTQYrVlWPrKq3ZFG8vjTJ/0hy9LSpANZnZRMAALNUVVckeVh3n7fD8aOTvK+7bzdNMliNqjoki1vmnprkHknen8XT6c7o7u9OGA1gQ55GBwDAnK13ZdTVUvZ5VfVnSR6W5EtZDAQ/rbs/PWkogN2kbAIAYK7el+R3q+pJ3f2Z5P+v9Hjl8jXYl12Z5PFJzuzua6cOA3BjuI0OAIBZqqqDk7wryX1z/QHh5yc5obsvnyobALBzyiYAAGarqirJI5P86PLQBd39ZxNGAgB2QdkEAAAAwDBmNgEAMFtV9aAkj0hypyT7rX2tu583SSgAYEPKJgAAZqmq/nWS/5Lk01nMbFq7JN/yfACYKbfRAQAwS1X1mST/ubv/69RZAIDdt9+uTwEAgEncNskfTx0CALhxlE0AAMzVW5M8euoQAMCNY2YTAABz9ZkkL62qY5N8LMnVa1/s7pdPkgoA2JCZTQAAzFJVXbzBy93d91xZGABgtymbAAAAABjGzCYAAAAAhlE2AQAAADCMsgkAAACAYZRNAAAAAAyjbAIAAABgGGUTAACzVFUfrarnVNUdps4CAOw+ZRMAAHN1ZpIXJPlcVb21qh4xdSAAYNequ6fOAAAA66qqSvLoJE9LckKSzyd5XZLXd/dlU2YDANanbAIAYK9QVQckeUaSFyfZmuR9SV7R3e+ZNBgAcD1uowMAYPaq6qeS/GaSFyb5XJKXJrkwyRlV9copswEA12dlEwAAs1RVd0ryz7K4he4fJHlXktd091lrzjkmyVndfetpUgIAO9o6dQAAANiJy5N8OslpSd7Q3V9Z55yPJ/nwSlMBABuysgkAgFmqqod0959PnQMAuHGUTQAAzFJV7Zck3X3dcv8uSR6b5ILu/ospswEAO2dAOAAAc3VmkucmSVXdOslHkvxWknOr6p9NGQwA2DllEwAAc3V0krOX249PckWSOyX55ST/eqpQAMDGlE0AAMzVrZN8Y7n9qCR/2N1XZ1FA/YPJUgEAG1I2AQAwV5clObaqbpXkp5OctTx+QJJvT5YKANjQ1qkDAADATrw8ye8n+VaSS5N8YHn8oUnOnyoUALAxT6MDAGC2quonkhyS5Kzu/tby2M8m+YYn0gHAPCmbAAAAABjGbXQAAMxWVd0hyWOyWN10s7WvdffLJgkFAGzIyiYAAGapqn4qyZlJvpfkjkk+m+Suy/1LuvuoCeMBADvhaXQAAMzVbyV5c5K7J/lukuOzWOH0kST/ecJcAMAGrGwCAGCWquqbSX6yuz9VVd9Ickx3X1BVP5nkLd19+MQRAYB1WNkEAMBcXbVm+4tJ7rHc/laSu60+DgCwOwwIBwBgrs5L8pNJPpXk3CT/sarunOTEJB+bMBcAsAG30QEAMEtVdXSS23T3OVV1xyRvTHJsFuXT07tb4QQAM6RsAgAAAGAYM5sAAJiVqrp3VdUGr+9fVcevMhMAsPuUTQAAzM0FSe64faeqLquqe6x5/YAkZ608FQCwW5RNAADMzY6rmu6QZMsuzgEAZkLZBADA3sjgUQCYKWUTAAAAAMNsnToAAADsoJPcoaquWbN/+6o6YLl/wPp/DQCYg+q2AhkAgPmoquty/dvkar397t5xjhMAMANWNgEAMDcPnzoAAPCDs7IJAAAAgGEMCAcAAABgGGUTAAAAAMMomwAAAAAYRtkEAAAAwDDKJgAAZqeq9q+qL1TVEVNnAQBuHGUTAACz091XJ7k6iUcnA8BeRtkEAMBc/W6SF1XV1qmDAAC7zw9uAADm6iFJjkvy2ar62yRXrn2xu0+YJBUAsCFlEwAAc/WVJG+fOgQAcONUt9vgAQAAABjDzCYAAGatqo6uql+oqlst929ljhMAzJcf0gAAzFJV3TnJO5M8MIun0h2e5KIkL0/y3SQnTZcOANgZK5sAAJirVyT5YpIDk3x7zfG3JXnUJIkAgF2ysgkAgLl6RJJHdPfXq2rt8QuTHDJNJABgV6xsAgBgrn4oyVXrHL9jFrfRAQAzpGwCAGCuPpDkqWv2u6q2JPm1JO+bJBEAsEvV3VNnAACAG6iq+yR5f5KPJjkuybuTHJHkdkmO7e4LJ4wHAOyEsgkAgNmqqrskeWaSn8hiVf55SV7d3Z+fNBgAsFPKJgAAAACG8TQ6AABmq6pumeT+Se6UHeaNdvc7JgkFAGxI2QQAwCxV1SOTvDXJgeu83Em2rDYRALA7PI0OAIC5elWSM5Mc1N377fClaAKAmTKzCQCAWaqqK5Mc5alzALB3sbIJAIC5+oskPzJ1CADgxjGzCQCA2aiqB6zZ/b0kv11Vd0tyfpKr157b3eetMhsAsHvcRgcAwGxU1XVZDP+uXZza5jYBwDxZ2QQAwJwcNnUAAGDPKJsAAJiN7r50+3ZVPTTJB7v7mrXnVNXWJA9OcmkAgNlxGx0AALNUVdcmuWt3f2mH4wcm+ZLb6ABgnjyNDgCAuaos5jft6MAkV644CwCwm9xGBwDArFTVu5abneRNVfW9NS9vSXLfJB9ceTAAYLcomwAAmJuvLv+sJF9P8p01r12V5H8nec2qQwEAu8fMJgAAZqmqXpzkt7vbLXMAsBdRNgEAAAAwjNvoAACYjar6WJLjuvvrVXV+1h8QniTp7qNWlwwA2F3KJgAA5uTtSbYPBD9jyiAAwA/GbXQAAAAADLPf1AEAAGAjVXV0Vf1CVd1quX+rqrJCHwBmyg9pAABmqarunOSdSR6Yxeymw5NclOTlSb6b5KTp0gEAO2NlEwAAc/WKJF9McmCSb685/rYkj5okEQCwS1Y2AQAwV49I8ojlk+nWHr8wySHTRAIAdsXKJgAA5uqHkly1zvE7ZnEbHQAwQ8omAADm6gNJnrpmv6tqS5JfS/K+SRIBALtU3T11BgAAuIGquk+S9yf5aJLjkrw7yRFJbpfk2O6+cMJ4AMBOKJsAAJitqrpLkmcm+YksVuWfl+TV3f35SYMBADulbAIAAABgGE+jAwBgVqrqgN05r7u/dlNnAQBuPCubAACYlaq6Lsmufknt7nbhFABmyA9oAADm5uEbvPboJCcluWZFWQCAG8nKJgAAZq+qfjzJbyV5SJJTkvyH7v7ytKkAgPXsN3UAAADYmao6rKrekuT/JPlqkvt09/MUTQAwX8omAABmp6oOrKpXJfm7JHdJ8uDu/oXuvnDiaADALiibAACYlar6d0kuTHJcksd19/Hd/eGJYwEAu8nMJgAAZmX5NLrvJDknyXU7O6+7T1hZKABgt3kaHQAAc/PGJK6IAsBeysomAAAAAIYxswkAAACAYZRNAAAAAAyjbAIAAABgGGUTAAAAAMMomwAAAAAYRtkEAAAAwDD/D+xwaUhCSQ4eAAAAAElFTkSuQmCC\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = no_crisis.loc[:,'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)? [Input Data]':'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)? [Results]']\ncolumn_array = ['Input Data', 'Metadata about the methods', 'Metadata about the steps', 'Metadata about the experimental setup', 'Results']\ndf1.columns = column_array\ntitle = 'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)?'\ndraw_bar_chart_mul_col(column_array, title, df=df1)",
      "start_time": "2020-05-28T12:20:15.682Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = no_crisis.loc[:,'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)? [Input Data]':'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)? [Results]']\n",
    "column_array = ['Input Data', 'Metadata about the methods', 'Metadata about the steps', 'Metadata about the experimental setup', 'Results']\n",
    "df1.columns = column_array\n",
    "title = 'How easy would it be for you to find all the experimental data related to your own project in order to reproduce the results at a later point in time (e.g. 6 months after the original experiment)?'\n",
    "draw_bar_chart_mul_col(column_array, title, df=df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### How easy would it be for a newcomer to find all the experimental data related to project/experiment without any/limited instructions from the participants who think there is no reproducibility crisis?"
     }
    ]
   },
   "source": [
    "### How easy would it be for a newcomer to find all the experimental data related to project/experiment without any/limited instructions from the participants who think there is no reproducibility crisis?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:16.757186Z",
     "start_time": "2020-05-28T12:20:16.216929Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:16.757Z",
      "execution_time": "541ms",
      "outputs": [
       {
        "data": {
         "image/png": 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Y4HqlVLXzH/pi4VoApVR3pdTbSql/KaW+Bp5FT2/BMIz30FNmFgGHlVJLlFLtzXD/BNyhlGqLHnEvMQzjkJ99DiXd1wPHDcM44WffG+N69Ei5ezhNzTv8683PMcDv3fL6OLpDGsp+BDv+3vE2oJS6TSm1TSl13Iz/dszj6ce/nB8Mwzhlfmxn7kcEcMhtX15Cj6iBPqYZSqnr0B2YvwBpSqlY9Aiu3VzvRvSJ6GtfvY+L975+6fa5zsd350tnYoA+XmU8Gz2Y4RQw33zwly++vIoeVcf8/zXzc1OUab/pNgyjDihDn0eZ6GPyPvru0gDzuzMdn7ttd94MN1i5ykXfBdocJF3u5d+DUmqMUsrudlwsXCiP/spGwDorBKGcR431L7fPp7hQFhpV1yilpiml9pkvm6lGnyuBzs+mSmcMUOiWn/vQA1S+8jQGmOqV/zfieYyXoo/lQsMwTntt750fEeh9jAHu8go3HT0g4WtbX7zrAAzD8FUv/ADduS93i+t/zd+djhmGcdbtu3t+NRCkLAfiUUYMwziJHqxwhuu3DfaTjqvMF7l9bq5fDHQI8ly5e76GfH4ppVoppeYqpfabcTnMRf7SFyzsS22bveuyWnReNji3DcOoR0/bvd98v8S9eNbNwdqfYIKV1a/MY+0evvs55L59Z/R58rnX+r7SE6i964we/PBVrzaglOqAfrTgfbew/fZfDMM4g+70W4DfGmZP2c8+efeLgtUpjT33jxqGcc7tO4TWd4HGte8eDMPYjx5gTERfaL0NfKGUisOz3Q1VoLbFuzz4bGcvRghtkXe6It2e7/bX5wHd5/yfRiQl1H5eMIHal+vxfT42hr/jNA99x329+SK56SGE1Zj+qL9+UjCh9IN87lOQa79QeO9fsLJ8zMe5HGo5CHQteqnn0Ej0gNbzoazcFC8x+gK40euFSNHou3ZgXnihL6j/hn6uybvD7+0g+u5HB7d/UYZh3G4ufxE9decmwzDaoxts5dzYMIwFhmHcjB4J7I6emoJhGFXokfM70aPq7pWAt1DS/QXQUSkV5WffT6I7dU7uF3jeDqFPHPdwQuXdqPnjHf4X5ueD6Gln7vndxjCM9xsG0UCw4x8wfUqp1ujpt/PRd8c6oJ85VP62CeAgejS9s9t+tDcMoxeAYRifoiuN/4ce9fsaXaFMQI+unXcLp5uP8L9AV9ruvPe1MWn9m1eetzMMY5LbOqEe14tRBNiUUhb0qHiB+XtTlOlg6f4betQ2Cf1c69/Qo52p6IsDZzpcea2UUujyG6xc5QLRSilfFaC/8u+ilIpBXyw+jJ6+1gE9XdRZHv2VjWB1ljfvtIdyHjWVkOsapVQG+lGMu9HTzjugpwRfzPnZ2PJ8ED1lzj1PI8163Ne6c7zWvcowjD+b+9EOPS38ZWC2Uqqj1/be+XEGPV35IPpOjXu4bQ3DmHsJ++XPUXTHoZdbXN83DCPUDqVHOkIoy4F4lBGl1FXoOwxOAdtgH6aip4b2MdfPdAYd4v405vy6Dz1F3PnMeqxXXL4uAgOFfSltMzSsy9qi89Lfuf0q+gJ5IHDKMIwPfIXjlpamrJuvNtPnHr57Pem+/VH0eRLjtb6/89Nfe3cUPTvMV73qK71DgPfcOuAB+y9KqRvQMw6WAb81+xzuAvWL/NYpAdJ3MQL2XUIQSjr+BoxCP1JXZX4fi35fh93PNo3dP+8y6p6fHuVTKeVdPgPG1QRtkb8+D+hBgOZ4yaSvusdf+3II3+fjpSfCME4Y+q8KdUW/e+nnSqmBftLoK+3ex7IVnoPV/vpJwVxSP8jftV+IfPXJ/JXlSxLkWvRSziHQA0ghp7MpBgE+RF9YPa6UilD6b6TeAawCMAyjEt2xuR/dCHyNHi0Zif9BgFLghFLqF0qpNubIvkUplWIuj0K/vKFWKdUD/XwUAEqpFKVUH6WU86Vj9egXXTitQFckVmCdv50KJd2GYRxEj0b/SikVqZSyoaecO/+Opx24XSnV0TxYU/zmor4rna+Uulop9SP0hWqovkQ/jxRMnhn+jejnbVebvy824+4FoJT6vlLqrhDjDnj8Q/A99PNOR4CzSqnb0M/JNpo5krYe3dC3V0qFKaW6KaUGuK32N3Sn2Fn2Nnt9B/gj8IxS6ial2ZRSndCNRHel1H1KqXCl1D3oyubti0ju22ZY/2XmW4RZdnteRFiNZt5xWoOeXlZqGMYB8/emLNP+/A0Yg56O92/MqXfojvgRc52/AD9RSg00z+Wp6E5SsIGpE8B/AplKqbleyx5SSv3IvAD8by6Uf3dt0Y3BEQCl1APoO0hOfwSmKaVuNsvGf5gXW8HqLG/e5+ylnkeN0Zi6Jgo9JfEIEK6UmoV+FvJihFpPOS0G5pj5i1LqB0qpn/pZdymQa9b9SinVVin1E7fBrN8DZYb+M4rvmGG7u18pFW9e7D4NrDEvMpwj9kPMYxqp9N+J/1Ej9iMk5iDkUuB5Zf5pH6XUDUqpISEG4Z2/wcpyIGuAoUqpdKXU99B54t5f8NsG+0lLFLo9rTbPvydDTIdTY86vKHRdcQzdYXo2SNqChd3Yttk7/D8DDyilEs0L0GfRz/07fG1sXvSfR08rdu8cBmt/7MBos/7ojb7guxhPKf3n0jLQF0uv+0nnOXTezFFKRZnn6c+50Fa489vemeX+FeA5pdT1Zv73M/PqiJkX7vl5O/ocdvLbf1FKKfQsgJfR7dgh9Ivc3PlrF4LVKU0mxL5LIKHUrc6+j3OgfbP5fYvbgMrFhOvuz8ATZl3dGf1YkbM87AR6medBJA3fXB4srktqi/z1ecw6PxX9zqzLzXsf/bYvhmF8jp416Twf09F9gkumlBpq9l0UeiDlHBeuk0I55n9Hz7L4idk/ewLdj3fy14cOFv5F94NU8Gu/xgpUlpuCv2vRSzmHQLcbD4WaiEseBDA78Xeg/1zLUfQLxcYYhvGx22p/Q0+dOOj2XQEVfsI8h258EtEvUjmKLlTfN1eZhh7tP4GuqN078+3N377iwpuN57ktL8ScZmpcmFLlTyjpvhd9p+ELM+wnDcPYaC57DX3QHOgK3tdFh9NTZno/M9cNNEvB28tAvNLTiYoCrPcG+jkVO7oRfRnAMIxC4NfAKqWnT36EPp5BhXj8A21/Av1XC/6CPmb3oZ/dvVhj0AMLzrf9rsFz6u7f0I1JsZ/voF/E8hf0cfganU9tDMM4hi6XU9Hl6nH0y+eONjaR5n4PBkajy86/0MfA+y7F5fQqugLyLmtNVab9eR/9bgBnnu9FV9iuY2AYxifoAbiF6HJ1B3CHWd4CMgyjGv2CnduUUu4dvpVmmv+BnqrW4G8SG4axF12JfoBurKzol0U5l7+OftHUSnT9U4R+k3ywOsubxzl7qedRIzWmrvk/9JT0v5vb1NP4x1ScfoVu3KqVUtNCWP/36LpgvVLqBPplOX18rWgYRhn65Tx/QJ/3n6Kfn8McOPhPLlyo/hxIVkpluwXxGvpi4V/oqcmPmOEeRN9VnoHufB5E311oigF0X35hpn2bWRdvRN9BD4V3mQpYlgMxDGMPuiOxEn3h9BX6XRtOgdpg0J2TV8203I2ehdEGXba3octUyBp5fq1Al9UqdN2yzWu5dz4FC7uxbfNs3PbdrDtnome8HULfIRsdJIwV6OPl6nSG0P7M5MKz30+hj11j/cvc/gv0ndLcIHXQ/0N3uP+Bni25En1B7yGE9m4a+pn97ejp/L9GP9d7CvOvb5j52Q89E+B/3cIO1H95BD2lfqZhGAb6xYQPmAMcTj7bhUB1ymUSrO8SyO+BUUqpr5RSC/ys493X2YIeJCv2sz40vs7+JfrCdRf6eFZwIT//jh5M3Ih+s/4Wr22D9WOboi3y1ee5FfjAHCS43DzyM4T25T50m3ccPXC6oonScRP6ONSi24cXDMNwDoIEPeaGYdSgHwv/I7qePYln++CzD20um41n2+Ae7qX0g4Jd+zWW37LcRPxdi17KOQS6zvttqIlwvg2yRVFK7UdPH9sYdGUhvqOUUtHoKb0/NGe6fGcppRzoF/3IOS88KKU2o1+29McrnRYhQL/LAZhgGEZ6M8aZhT4PmmSWi1JqHPrFZLc2RXhmmKnoP4GX2kThOZB2ocXw1edRSr0AfGQYxgtXNHGixfkmXIterrsZ31hKqZHoKZLvXem0CHGlKP3M1c/RbwD/Tg8ACCHEt4U5PXky+s/Yfpv1Qs+eaGqNfZREiEB9Hjv6rqwQzeabci0aHnyV7w7zjk888F+G779KIMR3ntIvmvkSPWXqP69wcoQQQgBKv/9hHXq658VM5/9GMKdz3wSE+m6hkBiGUdqU4YmWIVCfxzCMb/tgm/iW+SZdi7bIxwGEEEIIIYQQQoiWqMU9DiCEEEIIIYQQQrRUMggghBBCCCGEEEK0EC3qnQDfMPIchhBCCCGEEKIlU1c6AS2RzAQQQgghhBBCCCFaCBkEEEIIIYQQQgghWggZBBBCCCGEEEIIIVoIGQQQQgghhBBCCCFaCHkxoBBCCCHEd9iZM2f45z//SX19/ZVOihCihYqMjORHP/oRERERVzopAlCGIS+pv0Ik44UQQghx2X322WdERUXRqVMnlJIXcQshmpdhGBw7dowTJ07QpUsX78VSKV0B8jiAEEIIIcR3WH19vQwACCGuGKUUnTp1ktlI3yAyCCCEEEII8R0nAwBCiCtJ6qBvFhkEEEIIIYQQl5VSiqlTp7q+z58/n9mzZ1+5BDWxrKwsysrKmjzcZ5991u+y2NhYrFYrVquV+Ph4nnjiiaB3Wqurq3nhhReaOplCiG8ZeTGgEEIIIUQLEjv9nSYNzzH3J0HXad26NevWrSM/P5/OnTs3afzNzTAMDMMgLOzy30t79tlnmTFjht/lmzZtonPnztTW1jJhwgQmTpzIq6++6nd95yDA5MmTL0dyhRDfEjITQAghhBBCXFbh4eFMmDCB559/vsGyI0eOMHLkSFJSUkhJSWHr1q0AWK1WqqurMQyDTp06sWLFCgDGjBnDhg0bOHfuHNOmTcNisWCz2Vi4cCEA7777LklJSVitVsaNG8fp06cBfec8Pz+fxMREevfuTUVFBUOGDKFbt24sXrzYlZ558+aRkpKCzWbjySefBMDhcBAXF8eYMWOwWCwcPHjQ7762a9eO//7v/yYhIYG+ffvy5ZdfApCTk0Nubi69e/eme/fuvP322wAsX76chx9+2LX90KFD2bx5M9OnT6euro7ExESys7MD5m+7du1YvHgxRUVFHD9+nNraWgYOHEhycjJWq5U33ngDgOnTp7N//34SExPJy8vzu54Q4rtNBgGEEEIIIcRl99BDD1FQUEBNTY3H748++iiPPfYY27dvZ+3atYwfPx6AtLQ0tm7dyp49e+jatSslJSUAfPDBB/Tv358lS5bgcDiw2+3s2rWL7Oxs6uvrycnJYfXq1ezevZuzZ8/y4osvuuKKjo7GbreTkZFBTk4Oa9asYdu2ba6L/fXr11NZWUlpaSl2u53y8nKKi4sBqKysZPLkyezZs4eYmBi/+3ny5En69u3Lzp07yczMZOnSpa5lDoeD0tJS3nnnHXJzcwNO3587dy5t2rTBbrdTUFAQNH/bt29Ply5dqKysJDIyksLCQioqKti0aRNTp07FMAzmzp1Lt27dsNvtzJs3z+96QojvNnkcQAghhBBCXHbt27dnzJgxLFiwgDZt2rh+37hxI3v37nV9//rrr6mtrSUjI4Pi4mJiYmKYNGkSS5Ysoaqqiquvvpq2bduyceNGcnNzCQ/X3dmOHTuyc+dOunTpQvfu3QEYO3YsixYtYsqUKQAMGzYM0LMMamtriYqKIioqitatW1NdXc369etZv349SUlJANTW1lJZWUl0dDQxMTH07ds36H5+73vfY+jQoQDcfPPNbNiwwbXs7rvvJiwsjJtuuomuXbvy8ccfX0qWNuC8gDcMgxkzZlBcXExYWBhVVVWuGQne6/ta74c//GGTpksI8c0igwBCCCGEEKJZTJkyheTkZB544AHXb+fPn2fbtm1ERkZ6rJuZmcmiRYs4cOAAc+bMobCwkDVr1pCRkXHR8bdu3RqAsLAw12fn97Nnz2IYBvn5+UycONFjO4dClEPSAAAgAElEQVTDQdu2bUOKIyIiwvUm9FatWnH27FnXMu83pCulCA8P5/z5867fLvbPqJ04cQKHw0H37t0pKCjgyJEjlJeXExERQWxsrM9wQ11PCPHdIo8DCCGEEEKIZtGxY0fuvvtuXn75ZddvgwcPdj3PD2C32wG48cYbOXr0KJWVlXTt2pX09HTmz59PZmYmAIMGDeKll15yXWQfP36cuLg4HA4Hn376KQCvvfYaAwYMCDl9Q4YM4ZVXXqG2thaAqqoqDh8+fGk77eb111/n/Pnz7N+/n3/84x/ExcURGxuL3W7n/PnzHDx4kNLSUtf6ERERnDlzJmi4tbW1TJ48meHDh3P11VdTU1PDNddcQ0REBJs2beLzzz8HICoqihMnTri287eeEOK7TQYBhBBCCCFEs5k6dSpHjx51fV+wYAFlZWXYbDbi4+M9XtLXp08f19T+jIwMqqqqSE9PB2D8+PFER0djs9lISEhg5cqVREZGsmzZMu666y6sVithYWHk5uaGnLbBgwdz33330a9fP6xWK6NGjfK4aL5U0dHRpKamctttt7F48WIiIyNJS0ujS5cuxMfH88gjj5CcnOxaf8KECdhsNr8vBrzllluwWCykpqYSHR3NSy+9BEB2djZlZWVYrVZWrFhBjx49AOjUqRNpaWlYLBby8vL8rieE+G5T8vKPK0YyXgghhBCX3b59++jZs+eVTkaLl5OTw9ChQxk1atSVTooQV4Sfukj5WldcXjITQAghhBBCCCGEaCHkxYBCCCGEEEJcZsuXL7/SSRBCCEBmAgghhBBCCCGEEC2GDAIIIYQQQgghhBAthAwCCCGEEEIIIYQQLYS8E0AIIYS43GZ/vxniqLn8cQghhBDiW09mAgghhBBCiMtKKcXUqVNd3+fPn8/s2bOvXIKaWFZWFtHR0bj/6e3hw4fTrl27gNtVV1fzwgsvNDq+2bNnM3/+/IDrFBUVsXfv3kaH7cvy5ct5+OGHmyysL774IqRlsbGxHD16tEnibazNmzfz/vvvu77n5OSwZs2aiw7vUrcXoinJTAAhhBBCiJakqWemhDALpXXr1qxbt478/Hw6d+7ctPE3M8MwMAyDsDDPe2kdOnRg69atpKenU11dzaFDh4KG5RwEmDx5cpOns6ioiKFDhxIfH9/kYV+K5cuXY7FYuP766xu1rLlt3ryZdu3a0b9//yudFCGanMwEEEIIIYQQl1V4eDgTJkzg+eefb7DsyJEjjBw5kpSUFFJSUti6dSsAVquV6upqDMOgU6dOrFixAoAxY8awYcMGzp07x7Rp07BYLNhsNhYuXAjAu+++S1JSElarlXHjxnH69GlA31XOz88nMTGR3r17U1FRwZAhQ+jWrRuLFy92pWfevHmkpKRgs9l48sknAXA4HMTFxTFmzBgsFgsHDx5ssB+jR49m1apVAKxbt44777zTY7mvcKdPn87+/ftJTEwkLy+P2tpaBg4cSHJyMlarlTfeeMO1/Zw5c+jevTvp6el88sknrt+XLl1KSkoKCQkJjBw5klOnTvH+++/z5ptvkpeXR2JiIvv37/e5nrfS0lL69etHUlIS/fv394jn4MGDZGVlcdNNN/HUU0+5fn/uueewWCxYLBZ+97vfufLLYrG41nHO/FizZg1lZWVkZ2eTmJhIXV2dax1/yxYuXOjKj48//hiAkydPMm7cOFJTU0lKSvLIJ6fNmzczYMAAfvrTn9K1a1emT59OQUEBqampWK1W9u/fD/gufw6Hg8WLF/P888+TmJhISUkJAMXFxfTv35+uXbu67uobhkFeXh4WiwWr1crq1atdvz/88MPExcXx4x//mMOHD7vSNn36dOLj47HZbEybNq1B2oW43GQQQAghhBBCXHYPPfQQBQUF1NR4zhx49NFHeeyxx9i+fTtr165l/PjxAKSlpbF161b27NlD165dXRdiH3zwAf3792fJkiU4HA7sdju7du0iOzub+vp6cnJyWL16Nbt37+bs2bO8+OKLrriio6Ox2+1kZGS4pmdv27bNdVG+fv16KisrKS0txW63U15eTnFxMQCVlZVMnjyZPXv2EBMT02D/Bg4cSHFxMefOnWPVqlXcc889rmX+wp07dy7dunXDbrczb948IiMjKSwspKKigk2bNjF16lQMw6C8vJxVq1Zht9v561//yvbt211h33nnnWzfvp2dO3fSs2dPXn75Zfr378+wYcOYN28edrudbt26+VzPW48ePSgpKWHHjh08/fTTzJgxw7WstLSUtWvXsmvXLl5//XXKysooLy9n2bJlfPjhh2zbto2lS5eyY8cOv2Vg1KhR9O7dm4KCAux2O23atAm6rHPnzlRUVDBp0iTXIxBz5szh1ltvpbS0lE2bNpGXl8fJkycbxLdz504WL17Mvn37eO211/j73/9OaWkp48ePdw0a+Sp/sbGx5Obm8thjj7nKC8ChQ4fYsmULb7/9NtOnTwf0gI/dbmfnzp1s3LiRvLw8Dh06RGFhIZ988gl79+5lxYoVrkcLjh07RmFhIXv27GHXrl088cQTfvNLiMtFHgcQQgghhBCXXfv27RkzZgwLFizwuPjbuHGjx7PrX3/9NbW1tWRkZFBcXExMTAyTJk1iyZIlVFVVcfXVV9O2bVs2btxIbm4u4eG6O9uxY0d27txJly5d6N69OwBjx45l0aJFTJkyBYBhw4YBepZBbW0tUVFRREVF0bp1a6qrq1m/fj3r168nKSkJgNraWiorK4mOjiYmJoa+ffv63b9WrVqRnp7OqlWrqKurIzY21rUsULjuDMNgxowZFBcXExYWRlVVFV9++SUlJSWMGDGCq666ymM/AD766COeeOIJqqurqa2tZciQIT7TF8p6NTU1jB07lsrKSpRSnDlzxrVs0KBBdOrUCdADD1u2bEEpxYgRI2jbtq3r95KSEo/0XSrnjIqbb76ZdevWATo/33zzTdegQH19PQcOHKBnz54e26akpHDdddcB0K1bNwYPHgzo479p0ybAf/nzZfjw4YSFhREfH8+XX34JwJYtW7j33ntp1aoV1157LQMGDGD79u0UFxe7fr/++uu59dZbAfj+979PZGQkP/vZzxg6dChDhw5tknwSojFkEEAIIYQQQjSLKVOmkJyczAMPPOD67fz582zbto3IyEiPdTMzM1m0aBEHDhxgzpw5FBYWsmbNGtdd2YvRunVrAMLCwlyfnd/Pnj2LYRjk5+czceJEj+0cDofrQjeQ0aNHM2LEiAYvPQwUrruCggKOHDlCeXk5ERERxMbGUl9fHzDOnJwcioqKSEhIYPny5WzevPmi15s5cya33HILhYWFOBwOsrKyXMuUUh7ren93Fx4ezvnz513fg+1DIM7j1KpVK86ePQvo/Fy7di1xcXEhbQuex9x5vMF/+QsWnvtLIBsjPDyc0tJS3n33XdasWcMf/vAH3nvvvYsKS4iLJY8DCCGEEEKIZtGxY0fuvvtuj6nogwcPdk3NBrDb7QDceOONHD16lMrKSrp27Up6ejrz588nMzMT0HemX3rpJdfF3PHjx4mLi8PhcPDpp58C8NprrzFgwICQ0zdkyBBeeeUV153gqqoqj2e5g8nIyCA/P5977703pHCjoqI4ceKEa72amhquueYaIiIi2LRpE59//jmgB0SKioqoq6vjxIkTvPXWW65tTpw4wXXXXceZM2coKChw/e4dtr/13NXU1HDDDTcA+iV97jZs2MDx48epq6ujqKiItLQ0MjIyKCoq4tSpU5w8eZLCwkIyMjK49tprOXz4MMeOHeP06dO8/fbbftPlLtAy7/xcuHCh60I80CMIwfgrf6GmJSMjg9WrV3Pu3DmOHDlCcXExqampZGZmun4/dOiQa+ZBbW0tNTU13H777Tz//PPs3LnzotMuxMWSQQAhhBBCCNFspk6d6vFn3xYsWEBZWRk2m434+HiPl/T16dPHNbU/IyODqqoq0tPTARg/fjzR0dHYbDYSEhJYuXIlkZGRLFu2jLvuugur1UpYWBi5ubkhp23w4MHcd9999OvXD6vVyqhRo0K6EHRSSjFt2rQGfwHBX7idOnUiLS0Ni8VCXl4e2dnZlJWVYbVaWbFiBT169AAgOTmZe+65h4SEBG677TZSUlJcYT/zzDP06dOHtLQ01/qgZyXMmzePpKQk9u/f73c9d48//jj5+fkkJSW5BlecUlNTGTlyJDabjZEjR9K7d2+Sk5PJyckhNTWVPn36MH78eJKSkoiIiGDWrFmkpqYyaNAgj/hycnLIzc1t8GLAYMvczZw5kzNnzmCz2ejVqxczZ84McmT881f+7rjjDgoLCz1eDOjLiBEjXGXw1ltv5Te/+Q0//OEPGTFiBDfddBPx8fGMGTOGfv36AXowZujQodhsNtLT03nuuecuOu1CXCx1sVNZxCWTjBdCiJaiqf8km884gv+ZNtEy7du3r8Gz0kII0dz81EX+nysRl43MBBBCCCGEEEIIIVoIGQQQQgghhBBCCCFaCBkEEEIIIYQQQgghWggZBBBCCCGEEEIIIVoIGQQQQgghhBBCCCFaCBkEEEIIIYQQQgghWggZBBBCCCGEEJeVUoqpU6e6vs+fP5/Zs2dfuQQ1saysLKKjo3H/09vDhw+nXbt2Aberrq7mhRdeaHR8s2fPZv78+QHXKSoqYu/evY0O25fly5fz8MMPN1lYX3zxRUjLYmNjOXr0aJPE6/Tss882aXhCfBuFX+kECCGEEEKI5mN91dqk4e0euzvoOq1bt2bdunXk5+fTuXPnJo2/uRmGgWEYhIV53kvr0KEDW7duJT09nerqag4dOhQ0LOcgwOTJk5s8nUVFRQwdOpT4+PgmD/tSLF++HIvFwvXXX9+oZU3l2WefZcaMGZctfCG+DWQmgBBCCCGEuKzCw8OZMGECzz//fINlR44cYeTIkaSkpJCSksLWrVsBsFqtVFdXYxgGnTp1YsWKFQCMGTOGDRs2cO7cOaZNm4bFYsFms7Fw4UIA3n33XZKSkrBarYwbN47Tp08D+q5yfn4+iYmJ9O7dm4qKCoYMGUK3bt1YvHixKz3z5s0jJSUFm83Gk08+CYDD4SAuLo4xY8ZgsVg4ePBgg/0YPXo0q1atAmDdunXceeedHst9hTt9+nT2799PYmIieXl51NbWMnDgQJKTk7Farbzxxhuu7efMmUP37t1JT0/nk08+cf2+dOlSUlJSSEhIYOTIkZw6dYr333+fN998k7y8PBITE9m/f7/P9byVlpbSr18/kpKS6N+/v0c8Bw8eJCsri5tuuomnnnrK9ftzzz2HxWLBYrHwu9/9zpVfFovFtY5z5seaNWsoKysjOzubxMRE6urqXOv4W7Zw4UJXfnz88ccAnDx5knHjxpGamkpSUpJHPjkdOnSIzMxMEhMTsVgslJSUMH36dOrq6khMTCQ7OxuAP/3pT6SmppKYmMjEiRM5d+4cAO3ateOxxx6jV69eDBw4kCNHjgCwYMEC4uPjsdlsjB49ukG8QnwbyCCAEEIIIYS47B566CEKCgqoqanx+P3RRx/lscceY/v27axdu5bx48cDkJaWxtatW9mzZw9du3alpKQEgA8++ID+/fuzZMkSHA4HdrudXbt2kZ2dTX19PTk5OaxevZrdu3dz9uxZXnzxRVdc0dHR2O12MjIyyMnJYc2aNWzbts11Ub5+/XoqKyspLS3FbrdTXl5OcXExAJWVlUyePJk9e/YQExPTYP8GDhxIcXEx586dY9WqVdxzzz2uZf7CnTt3Lt26dcNutzNv3jwiIyMpLCykoqKCTZs2MXXqVAzDoLy8nFWrVmG32/nrX//K9u3bXWHfeeedbN++nZ07d9KzZ09efvll+vfvz7Bhw5g3bx52u51u3br5XM9bjx49KCkpYceOHTz99NMed8xLS0tZu3Ytu3bt4vXXX6esrIzy8nKWLVvGhx9+yLZt21i6dCk7duzwWwZGjRpF7969KSgowG6306ZNm6DLOnfuTEVFBZMmTXI9AjFnzhxuvfVWSktL2bRpE3l5eZw8edIjrpUrVzJkyBDsdjs7d+4kMTGRuXPn0qZNG+x2OwUFBezbt4/Vq1ezdetW7HY7rVq1oqCgANADDb1792bPnj0MGDDANfAxd+5cduzYwa5duzwGj4T4NpHHAYQQQgghxGXXvn17xowZw4IFCzwu/jZu3Ojx7PrXX39NbW0tGRkZFBcXExMTw6RJk1iyZAlVVVVcffXVtG3blo0bN5Kbm0t4uO7OduzYkZ07d9KlSxe6d+8OwNixY1m0aBFTpkwBYNiwYYCeZVBbW0tUVBRRUVG0bt2a6upq1q9fz/r160lKSgKgtraWyspKoqOjiYmJoW/fvn73r1WrVqSnp7Nq1Srq6uqIjY11LQsUrjvDMJgxYwbFxcWEhYVRVVXFl19+SUlJCSNGjOCqq67y2A+Ajz76iCeeeILq6mpqa2sZMmSIz/SFsl5NTQ1jx46lsrISpRRnzpxxLRs0aBCdOnUC9MDDli1bUEoxYsQI2rZt6/q9pKTEI32Xyjmj4uabb2bdunWAzs8333zTNShQX1/PgQMH6Nmzp2u7lJQUxo0bx5kzZxg+fDiJiYkNwn733XcpLy8nJSUFgLq6Oq655hoAwsLCXAM5999/vysdNpuN7Oxshg8fzvDhw5tsP4VoTjIIIIQQQgghmsWUKVNITk7mgQcecP12/vx5tm3bRmRkpMe6mZmZLFq0iAMHDjBnzhwKCwtZs2YNGRkZFx1/69atAX2B5/zs/H727FkMwyA/P5+JEyd6bOdwOFwXuoGMHj2aESNGNHjpYaBw3RUUFHDkyBHKy8uJiIggNjaW+vr6gHHm5ORQVFREQkICy5cvZ/PmzRe93syZM7nlllsoLCzE4XCQlZXlWqaU8ljX+7u78PBwzp8/7/oebB8CcR6nVq1acfbsWUDn59q1a4mLi/O7XWZmJsXFxbzzzjvk5OTw85//nDFjxnisYxgGY8eO5Ve/+lXQdDj395133qG4uJi33nqLOXPmsHv3btdAlBDfFvI4gBBCCCGEaBYdO3bk7rvv9piKPnjwYNfz/AB2ux2AG2+8kaNHj1JZWUnXrl1JT09n/vz5ZGZmAvrO9EsvveS6MDx+/DhxcXE4HA4+/fRTAF577TUGDBgQcvqGDBnCK6+8Qm1tLQBVVVUcPnw45O0zMjLIz8/n3nvvDSncqKgoTpw44VqvpqaGa665hoiICDZt2sTnn38O6AvaoqIi6urqOHHiBG+99ZZrmxMnTnDddddx5swZ11R2oEHY/tZzV1NTww033ADol/S527BhA8ePH6euro6ioiLS0tLIyMigqKiIU6dOcfLkSQoLC8nIyODaa6/l8OHDHDt2jNOnT/P222/7TZe7QMu883PhwoWuv8bg6xGEzz//nGuvvZYHH3yQ8ePHU1FRAUBERIRrhsPAgQNZs2aN6xgfP37clefnz59nzZo1gH60ID09nfPnz3Pw4EFuueUWfv3rX1NTU+M6pkJ8m8gggBBCCCGEaDZTp071+LNvCxYsoKysDJvNRnx8vMdz1n369HFN7c/IyKCqqor09HQAxo8fT3R0NDabjYSEBFauXElkZCTLli3jrrvuwmq1EhYWRm5ubshpGzx4MPfddx/9+vXDarUyatSokC5KnZRSTJs2rcFfQPAXbqdOnUhLS8NisZCXl0d2djZlZWVYrVZWrFhBjx49AEhOTuaee+4hISGB2267zTV9HeCZZ56hT58+pKWludYHPSth3rx5JCUlsX//fr/ruXv88cfJz88nKSnJNbjilJqaysiRI7HZbIwcOZLevXuTnJxMTk4Oqamp9OnTh/Hjx5OUlERERASzZs0iNTWVQYMGecSXk5NDbm5ugxcDBlvmbubMmZw5cwabzUavXr2YOXNmg3U2b95MQkICSUlJrF69mkcffRSACRMmuKb0x8fH88tf/pLBgwdjs9kYNGiQ6686tG3bltLSUiwWC++99x6zZs3i3Llz3H///VitVpKSknjkkUfo0KGD33QK8U2l3P+eqWhWkvFCCNFSzP5+M8RRE3wd0SLt27fP41lpIURw7dq1k7v8TcxPXeT/uRJx2chMACGEEEIIIYQQooWQQQAhhBBCCCGEcCOzAMR3mQwCCCGEEEIIIYQQLYQMAgghhBBCCCGEEC2EDAIIIYQQQgghhBAthAwCCCGEEEIIIYQQLYQMAgghhBBCiMtKKcXUqVNd3+fPn8/s2bOvXIKaWFZWFtHR0bj/6e3hw4fTrl27gNtVV1fzwgsvNDq+2bNnM3/+/IDrFBUVsXfv3kaH7cvy5ct5+OGHmyysL774IqRlsbGxHD16tEnibQ6zZs1i48aNlzWOQPnnLicnhzVr1lxSXHa7nb/+9a+XFIb4Zgq/0gkQQgghhBDNZ1+PBn+n+5L0/Hhf0HVat27NunXryM/Pp3Pnzk0af3MzDAPDMAgL87yX1qFDB7Zu3Up6ejrV1dUcOnQoaFjOQYDJkyc3eTqLiooYOnQo8fHxTR72pVi+fDkWi4Xrr7++Ucu+6c6dO8fTTz992eNpzjyy2+2UlZVx++23X/a4RPOSmQBCCCGEEOKyCg8PZ8KECTz//PMNlh05coSRI0eSkpJCSkoKW7duBcBqtVJdXY1hGHTq1IkVK1YAMGbMGDZs2MC5c+eYNm0aFosFm83GwoULAXj33XdJSkrCarUybtw4Tp8+Dei7yvn5+SQmJtK7d28qKioYMmQI3bp1Y/Hixa70zJs3j5SUFGw2G08++SQADoeDuLg4xowZg8Vi4eDBgw32Y/To0axatQqAdevWceedd3os9xXu9OnT2b9/P4mJieTl5VFbW8vAgQNJTk7GarXyxhtvuLafM2cO3bt3Jz09nU8++cT1+9KlS0lJSSEhIYGRI0dy6tQp3n//fd58803y8vJITExk//79PtfzVlpaSr9+/UhKSqJ///4e8Rw8eJCsrCxuuukmnnrqKdfvzz33HBaLBYvFwu9+9ztXflksFtc6zpkfa9asoaysjOzsbBITE6mrq3Ot42/ZwoULXfnx8ccfA3Dy5EnGjRtHamoqSUlJHvkULM+3b9+OzWajvr6ekydP0qtXLz766CM2b95MZmYmP/nJT4iLiyM3N5fz588DsH79evr160dycjJ33XWX688HxsbG8otf/ILk5GRef/11j7vvl1reevbsyYMPPkivXr0YPHgwdXV1PvPo6aefJiUlBYvFwoQJEzxmo/iyYMEC4uPjsdlsjB492m9+/vvf/2bWrFmsXr2axMREVq9e3WAGisViweFw4HA46NGjB9nZ2fTs2ZNRo0b5LF/im0MGAYQQQgghxGX30EMPUVBQQE1Njcfvjz76KI899hjbt29n7dq1jB8/HoC0tDS2bt3Knj176Nq1KyUlJQB88MEH9O/fnyVLluBwOLDb7ezatYvs7Gzq6+vJyclh9erV7N69m7Nnz/Liiy+64oqOjsZut5ORkeG6YNu2bZvr4mv9+vVUVlZSWlqK3W6nvLyc4uJiACorK5k8eTJ79uwhJiamwf4NHDiQ4uJizp07x6pVq7jnnntcy/yFO3fuXLp164bdbmfevHlERkZSWFhIRUUFmzZtYurUqRiGQXl5OatWrXJNz96+fbsr7DvvvJPt27ezc+dOevbsycsvv0z//v0ZNmwY8+bNw263061bN5/reevRowclJSXs2LGDp59+mhkzZriWlZaWsnbtWnbt2sXrr79OWVkZ5eXlLFu2jA8//JBt27axdOlSduzY4bcMjBo1it69e1NQUIDdbqdNmzZBl3Xu3JmKigomTZrkugCdM2cOt956K6WlpWzatIm8vDxOnjzpEZe/PE9JSWHYsGE88cQTPP7449x///2uAYvS0lIWLlzI3r172b9/P+vWrePo0aP88pe/ZOPGjVRUVNC7d2+ee+45VzydOnWioqLCdUHt7lLL20MPPcSePXvo0KEDa9eu9ZlHDz/8MNu3b+ejjz6irq6Ot99+22/+A8ydO5cdO3awa9cu12CEr/w8c+YMTz/9NPfccw92u92jPPvyySefMHnyZPbt20f79u0v6jEX0XzkcQAhhBBCCHHZtW/fnjFjxrBgwQKPi7+NGzd6PLv+9ddfU1tbS0ZGBsXFxcTExDBp0iSWLFlCVVUVV199NW3btmXjxo3k5uYSHq67sx07dmTnzp106dKF7t27AzB27FgWLVrElClTABg2bBigZxnU1tYSFRVFVFQUrVu3prq6mvXr17N+/XqSkpIAqK2tpbKykujoaGJiYujbt6/f/WvVqhXp6emsWrWKuro6YmNjXcsChevOMAxmzJhBcXExYWFhVFVV8eWXX1JSUsKIESO46qqrPPYD4KOPPuKJJ56gurqa2tpahgwZ4jN9oaxXU1PD2LFjqaysRCnFmTNnXMsGDRpEp06dAD3wsGXLFpRSjBgxgrZt27p+Lykp8UjfpXLOqLj55ptZt24doPPzzTffdA0K1NfXc+DAAXr2vPCoi788z8zMZNasWaSkpBAZGcmCBQtc26SmptK1a1cA7r33XrZs2UJkZCR79+4lLS0NgH//+9/069fPtU2gi+NLKW9dunQhMTHRte8Oh8NnHJs2beI3v/kNp06d4vjx4/Tq1Ys77rjDb5psNhvZ2dkMHz6c4cOHB8zPxrjxxhtdeXT//fezYMECpk2b1qgwRPORQQAhhBBCCNEspkyZQnJyMg888IDrt/Pnz7Nt2zYiIyM91s3MzGTRokUcOHCAOXPmUFhYyJo1a8jIyLjo+Fu3bg1AWFiY67Pz+9mzZzEMg/z8fCZOnOixncPhcF3oBjJ69GhGjBjR4KWHgcJ1V1BQwJEjRygvLyciIoLY2Fjq6+sDxpmTk0NRUREJCQksX76czZs3X/R6M2fO5JZbbqGwsBCHw0FWVpZrmVLKY13v7+gQjHwAACAASURBVO7Cw8NdU+mBoPsQiPM4tWrVirNnzwI6P9euXUtcXJzf7fzlOcCxY8eora3lzJkz1NfXu46tr300DINBgwbx5z//2Wc8gcrFpZQ39/VbtWrl8eiEU319PZMnT6asrIwbb7yR2bNnB83rd955h+LiYt566y3mzJnD7t27/ebnhx9+6PE90HFtTPkQV548DiCEEEIIIZpFx44dufvuuz2mog8ePNj1PD/ol5GBvrN49OhRKisr6dq1K+np6cyfP5/MzExA35l+6aWXXBeGx48fJy4uDofDwaeffgrAa6+9xoABA0JO35AhQ3jllVdcz3xXVVVx+PDhkLfPyMggPz+fe++9N6Rwo6KiOHHihGu9mpoarrnmGiIiIti0aROff/45oAdEioqKqKur48SJE7z11luubU6cOMF1113HmTNnKCgocP3uHba/9dzV1NRwww03APoFdO42bNjA8ePHqauro6ioiLS0NDIyMigqKuLUqVOcPHmSwsJCMjIyuPbaazl8+DDHjh3j9OnTHlPUvdPlLtAy7/xcuHCh6/l3X48gBDqWEydO5JlnniE7O5tf/OIXrm1KS0v57LPPOH/+PKtXryY9PZ2+ffuydetWV5k6efIkf//734OmMRQXU97c88h5Ed65c2dqa2uD/jWA8+fPc/DgQW655RZ+/etfU1NT45oV4is/vY9HbGwsFRUVAFRUVPDZZ5+5lh04cIAPPvgAgJUrV5Kenh5yPojmJ4MAQgghhBCi2UydOtXjz74tWLCAsrIybDYb8fHxHi9N69Onj2tqf0ZGBlVVVa6Li/HjxxMdHY3NZiMhIYGVK1cSGRnJsmXLuOuuu7BarYSFhZGbmxty2gYPHsx9991Hv379sFqtjBo1KqSLUielFNOmTWvwFxD8hdupUyfS0tKwWCzk5eWRnZ1NWVkZVquVFStW0KNHDwCSk5O55557SEhI4LbbbiMlJcUV9jPPPEOfPn1IS0tzrQ96VsK8efNISkpi//79ftdz9/jjj5Ofn09SUpJrcMUpNTWVkSNHYrPZGDlyJL179yY5OZmcnBxSU1Pp06cP48ePJykpiYiICGbNmkVqaiqDBg3yiC8nJ4fc3NwGLwYMtszdzJkzOXPmDDabjV69ejFz5swG6/jL8xUrVhAREcF9993H9OnT2b59O++99x4AKSkpPPzww/Ts2ZMuXbowYsQIfvCDH7B8+XLuvfdebDYb/fr1c72g8FJdTHlzz6PWrVvz4IMPYrFYGDJkiEe58OXcuXPcf//9WK1WkpKSeOSRR+jQoYPf/LzlllvYu3ev68WAI0eOdD1y8Ic//MF1bgLExcWxaNEievbsyVdffcWkSZMuPYPEZaOCvUFSeFJKvQIMBQ4bhmExf+sIrAZiAQdwt2EYXwUJSjJeCCFaitnfb4Y4aoKvI1qkffv2eTwrLYRoaPPmzcyfPz/oi/VEQw6Hg6FDh/LRRx8FXM9PXSTPDVwBMhOg8ZYD/+n123TgXcMwbgLeNb8LIYQQQgghhBDfKDII0EiGYRQDx71+/inwqvn5VWB4syZKCCGEEEIIcdGysrJkFsBFio2NDToLQHyzyCBA07jWMIxD5ud/AddeycQIIYQQQgghhBC+yJ8IbGKGYRhKKZ/P+yulJgATAF566SUmTJjQrGkT4pssdvo7zRKPY+5PmiWe74JFue81SzwPLb61WeL5rrO+ar3sceweu/uyxyGEEEKIy0sGAZrGl0qp6wzDOKSUug7w+bc9DMNYAixxfm221AkhhBBCCCGEEMjjAE3lTWCs+Xks8MYVTIsQQgghhBBCCOGTDAI0klLqz8AHQJxS6p9KqZ8Bc4FBSqlK4MfmdyGEEEIIASilmDp1quv7/Pnzmf3/2bv3sEvrul787w8MggkeMDMVQTA1UQZwQ4qIonmOLA0zFc86eUiltIK9y1O1c/80MPpxFcTBQ1gWapF2ADzBJkkRR4mDgogKVgoGCqmcPvuPtcBhmEHU51n38Hxfr+t6rlnrXvfM/WZYs55nvdf38IY3TBdoie277755wAMekF133TV77rln1q5du6R//kUXXZQHP/jBSZK1a9fmH/7hH5b0zwfGYjrAD6i7n7mRh352oUEAAH4IS73ex61Z12PLLbfM+973vhx88MH58R//8SW9/qJ1d7o7m21208/SjjvuuOyxxx459thj85u/+Zs56aSTluX6a9euzRlnnJEnP/nJy/LnAyufkQAAACyrVatWZc2aNTn00ENv9tjXv/71/NIv/VL23HPP7LnnnjnttNOSJLvssksuv/zydHfuete75p3vfGeS5LnPfW5OOumkXHfddXnta1+bBz/4wVm9enX+5E/+JEnyoQ99KLvvvnt22WWXvPCFL8x3v/vdJLNtzA4++ODstttu2WOPPXLmmWfmCU94Qu573/vmz/7sz27M85a3vCV77rlnVq9ende//vVJZp/EP+ABD8hzn/vcPPjBD85XvvKVjf637rXXXrnkkktuvH/iiSdmr732ykMe8pA8/elPz5VXXpkkOeigg7Lzzjtn9erVee1rX5skef7zn5/jjz/+xt+79dZb3+TPvvrqq/O6170u73nPe7LbbrvlPe95Tz72sY9lt912y2677Zbdd9893/rWt27l/xVgVEoAAACW3Ste8Yocd9xxueKKK25y/NWvfnV+/dd/PZ/85Cfz3ve+Ny9+8YuTJHvvvXdOO+20nH322dlpp51y6qmnJkk+/vGP5+EPf3iOPPLIXHTRRVm7dm0++9nP5tnPfna+853v5PnPf37e85735Kyzzsq1116bP/3TP73xWttvv33Wrl2bffbZ58Y33KeffvqNb/ZPPPHEnH/++fnEJz6RtWvX5lOf+lROOeWUJMn555+fl7/85Tn77LOzww47bPS/85/+6Z/yi7/4i0mSSy+9NL//+7+fk08+OWeeeWb22GOPHHLIIbnsssvy/ve/P2effXY++9nP5nd+53du1d/h7W53u7zpTW/KM57xjKxduzbPeMYz8ta3vjWHH3541q5dm1NPPTW3v/3tb+X/EWBUpgMAALDs7njHO+a5z31uDjvssJu8UT355JNzzjnn3Hj/m9/8Zq688srss88+OeWUU7LDDjvkZS97WY488shccskluctd7pI73OEOOfnkk/PSl740q1bNfpzddttt85nPfCY77rhj7n//+ydJnve85+Xwww/PgQcemCR5ylOekmQ2yuDKK6/MNttsk2222SZbbrllLr/88px44ok58cQTs/vuuydJrrzyypx//vnZfvvts8MOO+RhD3vYRv/7nv3sZ+fqq6/OlVdeeeOaAKeffnrOOeec7L333klmn+TvtddeudOd7pStttoqL3rRi7Lffvtlv/32+6H/Xvfee+/8xm/8Rp797GfnaU97Wrbbbrsf+s8CxmAkAAAAC3HggQfm6KOPzlVXXXXjseuvvz6nn3561q5dm7Vr1+aSSy7J1ltvnUc+8pE59dRTc+qpp2bffffN3e52txx//PHZZ599fujrb7nllkmSzTbb7MbbN9y/9tpr0905+OCDb8xywQUX5EUvelGS5A53uMMt/tnHHXdcLrzwwjzvec/LK1/5yiSz9QMe97jH3fjnnXPOOTn66KOzatWqfOITn8j++++fD3zgA3niE5+YZDZt4vrrr7/x7+Xqq6/+vv9NBx10UI466qh8+9vfzt57753zzjvvB/+LAYaiBAAAYCG23Xbb/PIv/3KOPvroG489/vGPv3E+f5IbP0W/973vnUsvvTTnn39+dtpppzziEY/IW9/61jzykY9MkjzucY/LEUcckWuvvTZJ8o1vfCMPeMADctFFF+WCCy5IkrzrXe/Kox71qFud7wlPeEKOOeaYG+ftX3LJJfna1752q39/VeX3fu/3cvrpp+e8887Lwx72sJx22mk35rnqqqvy+c9/PldeeWWuuOKKPPnJT86hhx6az3zmM0lm6xZ86lOfSpKccMIJueaaa252jW222eYm8/6/8IUvZJdddslv//ZvZ88991QCAN+XEgAAgIV5zWtek0svvfTG+4cddljOOOOMrF69OjvvvPNNFul76EMfeuPQ/n322SeXXHJJHvGIRyRJXvziF2f77bfP6tWrs+uuu+bd7353ttpqqxx77LF5+tOfnl122SWbbbZZXvrSl97qbI9//OPzrGc9K3vttVd22WWX7L///j/wQnu3v/3t85rXvCZvectbcre73S1vf/vb88xnPjOrV6/OXnvtlfPOOy/f+ta3st9++2X16tV5xCMekUMOOSRJ8pKXvCQf+9jHsuuuu+bjH//4BkcfPPrRj84555xz48KAb3vb225cHHGLLbbIk570pB8oLzCe6u6pM4zKXzys4z4HfXAh17nozT+3kOusBEu9jdjG3JrtxW7z3nCnZb/ELjtuv+zXOOt5Zy37NVh65557bh74wAdOHQMY3EZei2qKLKMzEgAAAAAGoQQAAACAQSgBAAAAYBBKAACAFc4aUMCUvAZtWpQAAAAr2FZbbZXLLrvMD+HAJLo7l112WbbaaqupozC3auoAAAAsn+222y4XX3xxvv71r08dBRjUVlttle22227qGMwpAQAAVrAtttgiO+6449QxANhEmA4AAAAAg1ACAAAAwCCUAAAAADAIJQAAAAAMQgkAAAAAg1ACAAAAwCCUAAAAADAIJQAAAAAMQgkAAAAAg1ACAAAAwCCUAAAAADAIJQAAAAAMQgkAAAAAg1ACAAAAwCCUAAAAADAIJQAAAAAMQgkAAAAAg1ACAAAAwCCUAAAAADAIJQAAAAAMQgkAAAAAg1ACAAAAwCCUAAAAADCIVVMHAABuG8796Qcu+zUeeN65y34NABiZkQAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJsESq6ter6uyq+req+suq2mrqTAAAALAuJcASqKp7JXlVkj26+8FJNk/yK9OmAgAAgJtSAiydVUluX1WrkvxYkq9OnAcAAABuQgmwBLr7kiRvTfLlJP+e5IruPnH986pqTVWdUVVnHHnkkYuOCQAAwOBWTR1gJaiquyT5hSQ7Jrk8yd9U1QHd/RfrntfdRya54d1/LzYlAAAAozMSYGk8NskXu/vr3X1NkvclefjEmQAAAOAmlABL48tJHlZVP1ZVleRnk5w7cSYAAAC4CSXAEujuf01yfJIzk5yV2d+rSf8AAABsUqwJsES6+/VJXj91DgAAANgYIwEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEKumDgDLaZd37LLs1zjreWct+zUAAACWgpEAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglwBKpqjtX1fFVdV5VnVtVe02dCQAAANa1auoAK8gfJ/mn7t6/qm6X5MemDgQAAADrUgIsgaq6U5JHJnl+knT31UmunjITAAAArM90gKWxY5KvJzm2qj5dVUdV1R2mDgUAAADrMhJgaaxK8pAkr+zuf62qP05yUJLfXfekqlqTZE2SHHHEEVmzZs3Cg7L0zv3pBy7kOg8879yFXAdgSoe/9MMLuc4r/uwxC7kOAGxqlABL4+IkF3f3v87vH59ZCXAT3X1kkiNvuLugbAAAAJDEdIAl0d3/keQrVfWA+aGfTXLOhJEAAADgZowEWDqvTHLcfGeAC5O8YOI8AAAAcBNKgCXS3WuT7DF1DgAAANgY0wEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGIQSAAAAAAahBAAAAIBBKAEAAABgEEoAAAAAGMSqqQMwsDfcafmvseP2y38NblsW8bx7wxXLfw0AAPghGAkAAAAAg1ACAAAAwCCUAAAAADAIJQAAAAAMQgkAAAAAg1ACAAAAwCCUAAAAADAIJQAAAAAMQgkAAAAAg1ACAAAAwCCUAAAAADAIJQAAAAAMQgkAAAAAg1ACAAAAwCCUAAAAADAIJQAAAAAMQgkAAAAAg1ACAAAAwCCUAAAAADAIJQAAAAAMQgkAAAAAg1ACAAAAwCCUAAAAADAIJQAAAAAMQgkAAAAAg1ACAAAAwCCUAAAAADAIJQAAAAAMQgkAAAAAg1ACAAAAwCCUAAAAADAIJQAAAAAMQgkAAAAAg1ACAAAAwCCUAAAAADAIJQAAAAAMQgkAAAAAg1ACLKGq2ryqPl1VH5g6CwAAAKxPCbC0Xp3k3KlDAAAAwIYoAZZIVW2X5OeSHDV1FgAAANgQJcDSeVuS30py/dRBAAAAYENWTR1gJaiq/ZJ8rbs/VVX73sJ5a5KsSZIjjjgia9asWVDCH8x9DvrgQq5z0VYLuQysSOf+9AOX/yL7Hr7815iY1zsAYDRKgKWxd5KnVNWTk2yV5I5V9RfdfcC6J3X3kUmOvOHugjMCAAAwONMBlkB3H9zd23X3fZL8SpIPr18AAAAAwNSUAAAAADAI0wGWWHd/NMlHJ44BAAAAN2MkAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglwBKoqntX1Ueq6pyqOruqXj11JgAAAFjfqqkDrBDXJnlNd59ZVdsk+VRVndTd50wdDAAAAG5gJMAS6O5/7+4z57e/leTcJPeaNhUAAADclBJgiVXVfZLsnuRfp00CAAAAN2U6wBKqqq2TvDfJgd39zQ08vibJmiQ54ogjsmbNmgUn5Lbs8Jd+eNmv8Yo/e8yyX2MEu7xjl2W/xl8v+xWA5XKfgz64kOtc9OafW8h1VoJFfI9Npv0+u4jn3aKecwv5PvuH1y77NT687+HLfo3Ez3fcnBJgiVTVFpkVAMd19/s2dE53H5nkyBvuLiobAAAAJKYDLImqqiRHJzm3uw+ZOg8AAABsiBJgaeyd5DlJHlNVa+dfT546FAAAAKzLdIAl0N3/N0lNnQMAAABuiZEAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMAglAAAAAAxCCQAAAACDUAIAAADAIJQAAAAAMIhVUwcAAGAZvOFOy36JXXbcftmv8dd/eO2yXyP7Hr781wDYRBgJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAgAAAMAglAAAAAAwCCUAAAAADEIJAAAAAINQAiyRqnpiVX2uqi6oqoOmzgMAAADrUwIsgaraPMnhSZ6UZOckz6yqnadNBQAAADelBFgaP5Pkgu6+sLuvTvJXSX5h4kwAAABwE0qApXGvJF9Z5/7F82MAAACwyajunjrDbV5V7Z/kid394vn95yR5aHf/2nrnrUmyZn73yO4+crFJuTWqao3/Nyya5x1T8Lxj0TznmILnHdyUkQBL45Ik917n/nbzYzfR3Ud29x7zLy9Em6413/8UWHKed0zB845F85xjCp53sA4lwNL4ZJL7VdWOVXW7JL+S5ISJMwEAAMBNrJo6wErQ3ddW1a8l+eckmyc5prvPnjgWAAAA3IQSYIl09z8k+Yepc7AkTNVgCp53TMHzjkXznGMKnnewDgsDAgAAwCCsCQAAAACDUAIAAADAIJQAADCAqtq+qmoDx6uqtp8iEytbVT146gyMp6qeNd+ta/3jt6uqZ02RCTY11gQAgAFU1XVJ7tHdX1vv+F2TfK27N58mGStVVV2f2TbKRyX5q+7+1sSRGIDXOvj+jARgeFV1TFVts4Hjd6iqY6bIxMpXVQdW1bZT52AolWRDzf/WSb6z4CyM4UFJTknypiT/XlVvr6p9Js7Eyrex17rtknxzwVlgk2QkAMO7hcb4x5P8R3fbSpMlV1VfSnL3JCckOaq7T5w4EitUVR02v/mKJMcm+e91Ht48yc8kubq79150NsZQVZsn2S/JC5I8OclFSY5O8s7u/vcJo7GCVNWnM3vzv2uSs5Ncu87DmyfZMcmJ3b3/BPFgk+LNDcOafwpb86+7VNX63yx+Lsl/TpGNIdwnyeMz+6H476rqa0nekeSY7r5owlysPLvMf60kD0xy9TqPXZ3kzCRvXXQoxtHd12X2OvePSV6e5M1J/jDJm6rqb5L8pjKAJfCB+a+7JTk5yVXrPHZ1ZuXT3yw4E2ySjARgWPO5irf0D6CTvL67/2BBkRjUvJB6dmaFwOokH8nsU7K/mf/wDD+yqjo2yau723BYFqqqHpLkhUmemeTbSd6e2WvcPZO8Mckdu/tnJgvIilJVL0pyXHeb5gQboQRgWFX1qMw+Gftwkl9K8o11Hr46yZe6+6tTZGM8VfXwJC/KrAy4OMldMhu2/fzu/tCU2QB+GFX1qszKzQcl+afMFgj84LrlZlXdO8kXTb0DWBwlAMOrqh2SfLn9Y2DBquruSZ6X2Q/JOyR5X2brA3y0qrZK8rtJDujuHSaMyW1YVZ1wa8/t7qcsZxbGU1VfzOwT/2M2VqrPt3J7TncfvdBwrChV9V+55dGdN+pui/IyPCUAQ5oPTbxVuvvM5czCmKrq75M8Icnnkvx5knd193+td85PZLY4pZ1c+KHMpwDcKt39guXMwniqqhTsLMJ8CsCtonACJQCDWmc9gPo+p7b9ZFkOVXV0kj/v7tNv4ZxKsn13f2lxyQCWxnw7wO909yfn95+T2bSnszNbDPC/b+n3A7A8lAAMaT4F4FbxBoxFqaotuvuaqXMAHMU7EwAAGftJREFULIWqOjPJm7r7b6vqfkn+LbNdUPZO8rHufvmkAQEGpQQAmMB8waxLuvu98/tHZ7Y+wBeSPKW7PzdlPlae77c+gDUBWGpV9c0ku3X3hVV1cJJHdPfPVdVeme1+st3EEVmBvt/6ANYEgMRKrAzv+60PYE0AlsmrMtsyK1X1yCS/nORZme1U8UdJ9psuGivUZevd3yLJrknundmilLDUOskNU+oek+Tv57cvSXLXSRIxgteud3+LJLsn+cUkf7j4OLDpUQJAckZuvj7Aug2yNQFYDvdK8sX57Z/P7FOxv66qs5KcOl0sVqqNLfxXVX+U5JsLjsMYzkjyP6vqxCSPSvKy+fH7JPmPqUKxsm1s4b+qOiOz5yEMz4rTkOyYZKf5rzsmuX+SX0lyVnway/L5ZpKfmN9+XJIPzW9fk2SrSRIxqiOSvGLqEKxIv57koZntgPLm7r5gfnz/JB+fLBWj+lCSX5g6BGwKjARgeBtZ+O+CqroiyeuT/OOCIzGGE5P8+XzhrJ/K955nD8r3RgjAIjxg6gCsTN392SQ7b+Chg5Ncu+A48PTcfFoUDEkJABv3xSS7TR2CFesVSf4gyfZJ9u/ub8yPPyTJX06WihWrqg5b/1CSeyR5UpJjFp+IUXX3VVNnYOWqqk/nptM6K8lPJrlbkl+bJBRsYuwOwPCqav1VYm/4wfgNSXbq7ltcOBDgtqCqPrLeoeuTfD3Jh5Mc090+mWXJVdVzkjwzs8Lzdus+1t33nyQUK1pV/d56h254rftId589QSTY5BgJAMmluflWMpXkK0mesfg4jKaqfjI3/+H4yxPFYYXq7kdPnYGxVNVrkvxuZmsCPCaz9Sful+ThSQ6dMBorWHf/7tQZYFNnJADDq6r1V4q9oTG+wCdjLJequlOSwzLbGvB26z/e3XalYEnNy6ZV3X3xese3S3JNd//nNMlYqarqc0l+d77zybeS7NrdF1bV65Pcs7t/deKIrEBVtU+SdPepGzje3f1/JwkGmxC7AzC87v7Yel+ndvd5CgCW2Vsz26P9F5N8J8mzkvxmkotjBArL4y8ym/+/vickedeCszCGeyc5fX7720nuOL99XGY7BMByeFuSH9/A8W1jBAokUQJAqurXquqADRw/oKpePkUmhvCkJK/s7n9Ocl2ST3X3IUkOSuLTMZbDHklO2cDxU+ePwVL7j3zvzdiXMtsuMJlty1uTJGIEP51k7QaOf3b+GAxPCQDJgZnN/1/fRZntcQzL4c6Z/VCcJFckuev89sczmy8LS21Vki03cHyrjRyHH9VHkuw3v/32JIdW1UlJ3pPk/VOFYsX7dma7AazvnkmuWXAW2CQpASDZLt97M7aui+ePwXL4QmafhiXJuUl+paoqydOSfGOjvwt+eP+a5GUbOP6KJJ9ccBbG8KtJ/k+SdPfhSV6S5Pwkb8yGn4uwFE5K8ub52jtJkqq6c2bb8p40WSrYhFgYkOFV1UVJDuzuv13v+NOS/HF333uSYKxoVfXrSa7r7sOq6jFJPpBki8zK2QO7+08mDciKU1UPy2w7wE/Pf01mK7bvnuSx3f0vU2UDWCpVda/Mpjltm9nrXZLsllnB/qj1F0eFESkBGF5V/e8kByR5UZKPzg8/OslRSd7d3QdNFI2BVNX2mc3LPr+7z5o6DytTVe2a2QKUu88PfTrJW7r7M9OlYqWpqjcleXN3//f8/uOTnNLd35nfv2OSt3X3CyeMyQpWVVsneU5mb/6T2WvdX3T3ldOlgk2HEoDhVdUWSd6Z2Yrs180Pb5bkb5I8p7vNH2PJVNW/JHlyd18+v/+Hmb0J+8b8/o8nObO7t58wJsAPraquS3KP7v7a/P43k+zW3RfO7989yVdthQowDSUAzFXV/fK9xnhtd58/ZR5Wpqq6PslP+uGYRaiqbdcpmLa9pXNvOA9+VBt4nftWkl29zrFcquopSf6xu6+Z396o7j5hQbFgk7Vq6gCwqZi/6ffGn0WzTRbL6dKquuHN2KVJNtT81/y4N2TAbdXfZrYjwNfmtzfGax1ECcCgquqwJAd391Xz2xvV3a9aUCyApfbofG+3iUdPGQRgGW3R3TdM6dxi0iRwG6AEYFS75HvfJFZnw5+O5RaOww+rc/PnlecZy+V5Sc5M8q3Mnmf/0t3XThuJQby4qm5YhG1VkudX1aXz+9tMlImV69yqeth8WtNvJzm0u789dSjYVFkTgCHNV2L/SvsHwILN58qelOS780NPSvKxJP89v79lZtu1Ga7Ij6yqrk6yfXf/x/qLtcFyqaqLcyvKTVvwslSq6ttJ7tfdF3utg+9PCcCQ1v0GUVUfTvK0G1Zrh+VUVcfemvO6+wXLnYWVr6o+n9lOJycm+UiSpyb5rw2d292nLDAawJKpqo8nuSLJqUl+L8mbk2xwO8Du/t8LjAabJCUAQ6qqy5M8vLvPmX8ye/fu/vrUuQCWUlX9QpKjktw1s09mN7YQZRt9AtxWVdXOSf4gyU8l2TnJF/K9bZ/X1d298yKzwaZICcCQqur4JI9Icm6SRyX5lyRXb+jc7n7MAqMBLLmqunNmCwQ+KLPVs2+muy9baCiAZbD+FpXAzVkYkFE9J8kLM2uMH5Xkc/nenGyAFaGqjkny6u6+vKoeneR8CwMCK8186tMNCwP+bmaLoQIbYSQAQ1p3YcCq+kiSp1oTAFhpLAwIjMDCgPCDMRKAUX0xyT0yGxarCQNWqouSvLKqTsxsPYC9qsrCgMBKszbJUVV1amavdQeus0XlTVgYEIwEYFDrLQx4XWZzxywMCKwoFgZkSvP1d45K8s+25GU5WRgQfjBKAIZkYUBgJBYGZApV9Z4kT0lyaZJjkxzb3V+cNhUrnYUB4ftTAjCkqrp9vrcw4Ksz++FkgwsDdvcrFxgNYFlU1aOSnGZhQBapqu6S5IAkL0iyOskpmY0OeG93f3fKbKxMVbV5d29oFAAwpwRgeBYGBFaqqtp2vlp2qmrbWzr3hvNguVTVbpkV8C9J8u0k705yWHd/ftJg3OZV1VOS/GN3XzO/vVHdfcKCYsEmSwkAACvUuqtkz4fIbuibfsWaACyzqrp7kudlVgJsl+S9mS3Q++gkv9Xdh04Yj9u4dacAzG9vjNc6iN0BGFRVHZbk4O6+an57o7r7VQuKBbDUHpPZWgDJ7M0WLExVbZ7k5zN74//EJP+W5I+THNfd35yf89QkxyRRAvCj2GKdKQBbTJoEbgOUAIxql3zvm8Qut3CeoTLAbVZ3f2xDt2FBvppkyyR/meRh3X3mBs75aJINbuUGt9a6awBYDwC+P9MBAGCFqqrtb+253f3l5czCeKrqZUne0d0bXHgXlkpVPevWntvd717OLHBboARgaPNdAn4ryS8l2SmzT/4vTPI3Sf6ou789YTyAH8ktrANwM+bJspSqalVmi//t1t1nT52Hla2q1v95bVWSzfO9179Kcl2Sa7r7xxaZDTZFm00dAKYy/wHlw0n+Z5IvJvmTJIcn+VKS1yU5eX4OwG3Vnkl+Zv51QGbDs1+X5HHzr9cluWT+GCyZ+VaUX46ppyxAd9/+hq8kT02yNrN1UH5s/vXoJJ/O7EMfGJ6RAAyrql6e5I1J9l3/U4qqenCSjyR5XXf/6RT5AJZSVX0syZ909/HrHd8/yau7e59pkrFSVdULk+yf5ABbULIoVXVOkhd397+sd3zvJEd3909Pkww2HUoAhlVVH05yQne/bSOP/0aS/br7MYtNBrD05sNld11/T/aqun+StYbIstSq6tNJfiqzhXi/lOSqdR/v7odMkYuVbf5a9zPdfdZ6x1cn+df5aAEYmiFajOxBSQ68hcdPTnLQgrIALLeLkrw8N3/de3lmb9BgqX1g6gAM6ZNJDq2qA7r7P5Kkqn4yySFJPjFpMthEGAnAsKrq6iQ7dPe/b+TxeyT5UnffbrHJAJZeVT0xyfsze8N/+vzwQ5PcJ8nTuvsfJ4oGsGSq6n5JTkhy38zWpUiS7ZN8IckvrD8aCkakBGBYVXVdkp/s7q9v5PG7J/mqFbOBlaKqtsvsk/8b5sSem+TPuvsr06ViJauqLZM8KbM3ZEd19xVVdZ8kl3f35VNmY+Wqqs2SPDE3fa375+6+frpUsOlQAjCs+dZZJyX57kZO2TLJY5UAAPCDq6qdMvs+u22SbZLcv7svrKpDkmzd3WsmDQgwKGsCMLJ33Ipz3rnsKQBgZfrjJB9N8qtJ/mud43+X5OgpAgGgBGBg3f2CqTMAwAr28CR7dfe1VbXu8S8ludc0kQDYbOoAAACsSJXZ9oDr2y7JFQvOAsCcEgAABlBVPzZfLAsW5aQkr17nflfV1knemMRuFAATsTAgAKxwVbV5ku8k2bW7z5k6D2OY70bx0SRXJ7lfkjPmv34jyT7d/Z/TpWOlqqrjkxyV2W4A3ujABlgTAABWuO6+rqq+lOR2U2dhHN19cVXtmuTZSR6S2QjUdyR5V3dfNWk4VrLrkrw/yaVVdWySY7v7ixNngk2KkQAAMICqel6SZyY5oLsvnToPK1dVPba7T546B+OqqrskOSDJC5KsTnJKZqMD3tvdG9saGoahBACAAVTVWUl2zGyhtouT3OST2O5ePUUuVp6quj7JRZltA/j27r5k2kSMrKp2S/LCJC9J8u0k705yWHd/ftJgMCHTAQBgDMdPHYBhPCjJi5K8MskbqurEzD6FPaG7r5s0GUOpqrsnefz867okf5/k/knOrqrf6u5Dp8wHUzESAACAJVdVq5I8JbNPYZ+Q5LLM1gQ4prs/N2U2Vq75Qqg/n9nz7olJ/i3Jnyc5rru/OT/nqZk9D+8yWVCYkBIAAAZSVY9JsnOSTnJ2d3902kSMoKrumeT5mc3R3inJad39yElDsSJV1X8m2TLJXyb58+4+cwPn3CXJZ7v73ovOB5sCJQAADKCq7pXZitn/I8lX54fvmdm2bU/t7q9u7PfCUqiqOyd5TpI3JLlzd28+bSJWoqp6WZJ3dPd/T50FNlWbTR0AAFiIwzKbE/tT3X3v+Sdg95sfO2zSZKxoVfXYqnp3ZuXTG5P8VZI9pk3FSjSfgnJYZougAhthYUAAGMPjkuy77n7Z3X1hVb0qyYemi8VKVFXbZzb0//lJdkjysSRrkhzf3d+ZMBorWHdfW1Vfjvc4cIv8AwGAcWxoDqB5gSypqjo5yb5JvpbZQoBHd/cFk4ZiJH+Q5A+r6oDu/sbUYWBTZE0AABhAVb0/yd2SPLO7vzI/tn2S45J8vbufNmU+Vo6q+rskRyf5oC0BWbSq+nSSn0qyRZIvJblq3ce7+yFT5IJNiZEAADCGVyU5IcmFVbXuwoBnJXnmZKlYcbr7F6bOwNA+MHUA2NQZCQAAg6iqSvLYJD89P3Rud588YSQAYMGUAAAAwIpRVVsmeVKS+yY5qruvqKr7JLm8uy+fMhtsCpQAADCIqnpokp9N8hNZb5vg7n7VJKEAllBV7ZTkpCTbJtkmyf3nO6EckmTr7l4zaUDYBFgTAAAGUFWvTfL/Jbkgs/3a1/0UwCcCwErxx0k+muRXk/zXOsdvWLAShqcEAIAxvDrJq7r7/586CMAyeniSvbr72tkyKDf6UpJ7TRMJNi2bff9TAIAV4I5J/mHqEADLrDLbHnB92yW5YsFZYJOkBACAMfxlkidOHQJgmZ2U2cinG3RVbZ3kjUn+cZpIsGmxMCAADKCq/leSA5OcmOSzSa5Z9/HuPmSKXABLqaq2y2xNgKuT3C/JGfNfv5Fkn+7+z+nSwaZBCQAAA6iqL97Cw93dOy0sDMAyqqo7JHl2kodkNvL5zCTv6u6rJg0GmwglAAAAcJtWVY/t7pOnzgG3BdYEAAAAbutOrKoLq+p/VZVdAOAWKAEAAIDbugcleV+SVya5qKo+WFVPrarNJ84FmxzTAQAAgBWhqlYleUqSFyZ5QpLLkrwjyTHd/bkps8GmQgkAAACsOFV1zyTPT/KCJDslOa27HzlpKNgEKAEAAIAVqarunOQ5Sd6Q5M7dbXoAw7MmAAAMoKrWVtWvVdVdps4CsNyq6rFV9e4kX03yxiR/lWSPaVPBpkEJAABj+GCS30ry1ar6y6r62akDASylqtq+ql5fVV9McmKSeyRZk+Se3f2K7v70tAlh02A6AAAMoqoqyRMzmx/7lCT/nuTYJG/v7i9PmQ3gR1FVJyfZN8nXMlsI8OjuvmDSULCJUgIAwICqatskv5rk9UlWJflQkkO7+58mDQbwQ6iqv0tydJIPdvd1U+eBTZkSAAAGU1UPy2z7rGdktn3WsZkNm31ukqO6+8AJ4wEAy0gJAAADqKqfyOxN/guS3DfJCUn+vLtPWuecvZKc1N1bT5MSAFhuq6YOAAAsxMVJLshsuOw7uvvSDZxzdpJPLjQVALBQRgIAwACqap/uPnXqHADAtJQAADCAqtosSbr7+vn9n0yyX5Jzu/u0KbMBAIuz2dQBAICF+GCSVyZJVW2d5Iwkb0ny0ap67pTBAIDFUQIAwBj2SPLh+e2nJflmkp9I8pIkr50qFACwWEoAABjD1kkun99+fJL3d/c1mRUD950sFQCwUEoAABjDl5PsXVV3SPKEJDdsDbhtkv+eLBUAsFC2CASAMRyS5F1JrkzypSSnzI8/MslZU4UCABbL7gAAMIiq+h9Jtk9yUndfOT/2c0kut0MAAIxBCQAAAACDMB0AAAZRVXdJ8qTMRgPcbt3HuvtNk4QCABbKSAAAGEBVPSzJB5N8N8ndklyS5B7z+xd19+oJ4wEAC2J3AAAYw1uSHJfkXkm+k+QxmY0IOCPJ/5kwFwCwQEYCAMAAquqKJHt29+er6vIke3X3uVW1Z5J3d/f9Jo4IACyAkQAAMIar17n9n0l2mN++Msk9Fx8HAJiChQEBYAxnJtkzyeeTfDTJ71fV3ZMckOSzE+YCABbIdAAAGEBV7ZFkm+7+SFXdLck7k+ydWSnwwu5WBADAAJQAAAAAMAhrAgDAClZV96+quoXHt6iqxywyEwAwHSUAwP9r7w5CNSvLOID/n7nTwmZhzmVyjDBcSDATUikuFLvYhLSy5WzdummWEi1atEwUCUFxF1ELMzB0FRJKuSgYJIPaXMEgTMtmNWoz0zwt7h34vNycNp53OO/vB5f7veecD/67c3nu8z4vrNufk5y4tqiqv1bVlzbuH0/y68VTAQBDKAIAwLod7AK4JcnWdZ4BAFZKEQAAMCAIACahCAAAAACTODo6AADwqeokt1TVlY3156rq+P76+OFfAwDWyBGBALBiVXU1H2/3r8PW3X1wTgAAsEI6AQBg3R4cHQAAuHHoBAAAAIBJGAwIAAAAk1AEAAAAgEkoAgAAAMAkFAEAAABgEooAALByVfWZqvp7VZ0enQUAGEsRAABWrrsvJ7mcxJFAADA5RQAAmMOPk3yvqo6ODgIAjOMPAQCYwwNJdpL8rar+lOTi5s3ufnhIKgBgUYoAADCHfyZ5YXQIAGCs6rY9EAAAAGZgJgAATKSq7qmqs1V1bH99zJwAAJiHlz4ATKCqbk3yYpJ7s3dKwJ1J3kryRJKPkpwblw4AWIpOAACYw5NJ3k2yneSDjevPJ3loSCIAYHE6AQBgDmeSnOnuC1W1eX03ye1jIgEAS9MJAABzuCnJpUOun8jedgAAYAKKAAAwh9eSPLKx7qraSvJYkleGJAIAFueIQACYQFWdSvJqkjeS7CR5KcnpJDcnub+7dwfGAwAWoggAAJOoqpNJHk1yd/a6Ac8nebq73xkaDABYjCIAAAAATMLpAAAwiar6bJKvJvl8DswF6u5fDgkFACxKEQAAJlBV30ry8yTbh9zuJFvLJgIARnA6AADM4akkLyf5YncfOfCjAAAAkzATAAAmUFUXk9zlFAAAmJtOAACYw++SfHl0CABgLDMBAGClqurrG8tnkjxeVV9I8maSy5vPdvf5JbMBAGPYDgAAK1VVV7M39K+u82ibCwAAc9AJAADrdcfoAADAjUURAABWqrvfvva5qr6R5PXuvrL5TFUdTXJfkrcDAKye7QAAMIGq+k+S27r7vQPXt5O8ZzsAAMzB6QAAMIfK3nyAg7aTXFw4CwAwiO0AALBiVfWr/Y+d5KdV9e+N21tJvpLk9cWDAQBDKAIAwLq9v/+7klxI8uHGvUtJfpvkuaVDAQBjmAkAABOoqh8keby7tf4DwMQUAQAAAGAStgMAwEpV1R+T7HT3hap6M4cPBkySdPddyyUDAEZRBACA9XohybVBgL8YGQQAuDHYDgAAAACTODI6AACwnKq6p6rOVtWx/fWxqtIZCACT8NIHgAlU1a1JXkxyb/ZmA9yZ5K0kTyT5KMm5cekAgKXoBACAOTyZ5N0k20k+2Lj+fJKHhiQCABanEwAA5nAmyZn9kwI2r+8muX1MJABgaToBAGAONyW5dMj1E9nbDgAATEARAADm8FqSRzbWXVVbSR5L8sqQRADA4hwRCAATqKpTSV5N8kaSnSQvJTmd5OYk93f37sB4AMBCFAEAYBJVdTLJo0nuzl434PkkT3f3O0ODAQCLUQQAAACASTgdAABWrKqO/z/Pdfe/Pu0sAMB4OgEAYMWq6mqS673su7v9YwAAJuCFDwDr9uAn3Pt2knNJriyUBQAYTCcAAEymqr6W5EdJHkjybJIfdvc/xqYCAJZwZHQAAGAZVXVHVf0sye+TvJ/kVHd/VwEAAOahCAAAK1dV21X1VJK/JDmZ5L7uPtvdu4OjAQALUwQAgBWrqu8n2U2yk+Q73f3N7v7D4FgAwCBmAgDAiu2fDvBhkt8kufq/nuvuhxcLBQAM43QAAFi3n+T6RwQCAJPQCQAAAACTMBMAAAAAJqEIAAAAAJNQBAAAAIBJKAIAAADAJBQBAAAAYBKKAAAAADCJ/wINFbhkaAufxwAAAABJRU5ErkJggg==\n",
         "text/plain": "<Figure size 1080x648 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "df1 = no_crisis.loc[:,'How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you? [Input Data]':'How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you? [Results]']\ncolumn_array=['Newcomer Input Data', 'Newcomer Metadata about the methods', 'Newcomer Metadata about the steps', 'Newcomer Metadata about the experimental setup', 'Newcomer Results']\ndf1.columns = column_array\ntitle='How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you?'\ndraw_bar_chart_mul_col(column_array, title, df=df1)",
      "start_time": "2020-05-28T12:20:16.216Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = no_crisis.loc[:,'How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you? [Input Data]':'How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you? [Results]']\n",
    "column_array=['Newcomer Input Data', 'Newcomer Metadata about the methods', 'Newcomer Metadata about the steps', 'Newcomer Metadata about the experimental setup', 'Newcomer Results']\n",
    "df1.columns = column_array\n",
    "title='How easy would it be for a newcomer in your workplace to find all the experimental data related to your project/experiment without any/limited instructions from you?'\n",
    "draw_bar_chart_mul_col(column_array, title, df=df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Have the participants who think there is a reproducibility crisis ever been unable to reproduce published results of others?"
     }
    ]
   },
   "source": [
    "### Have the participants who think there is a reproducibility crisis ever been unable to reproduce published results of others?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:16.973104Z",
     "start_time": "2020-05-28T12:20:16.761972Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:16.973Z",
      "execution_time": "212ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 504x504 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "title = 'Have you ever been unable to reproduce published results of others?'\ndraw_pie_chart(title, df=yes_crisis)",
      "start_time": "2020-05-28T12:20:16.761Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'Have you ever been unable to reproduce published results of others?'\n",
    "draw_pie_chart(title, df=yes_crisis)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "provenance": [
     {
      "last_modified": "2020-05-28T12:19:52.567Z",
      "source": "### Have the participants who think there is a no reproducibility crisis ever been unable to reproduce published results of others?"
     }
    ]
   },
   "source": [
    "### Have the participants who think there is a no reproducibility crisis ever been unable to reproduce published results of others?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "ExecutionTime": {
     "end_time": "2020-05-28T12:20:17.275073Z",
     "start_time": "2020-05-28T12:20:16.988825Z"
    },
    "provenance": [
     {
      "end_time": "2020-05-28T12:20:17.275Z",
      "execution_time": "287ms",
      "outputs": [
       {
        "data": {
         "image/png": 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\n",
         "text/plain": "<Figure size 504x504 with 1 Axes>"
        },
        "metadata": {},
        "output_type": "display_data",
        "transient": {}
       }
      ],
      "source": "title = 'Have you ever been unable to reproduce published results of others?'\ndraw_pie_chart(title, df=no_crisis)",
      "start_time": "2020-05-28T12:20:16.988Z"
     }
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'Have you ever been unable to reproduce published results of others?'\n",
    "draw_pie_chart(title, df=no_crisis)"
   ]
  }
 ],
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  "@type": "CreativeWork",
  "author": [
   {
    "@id": "https://orcid.org/0000-0002-7981-8504",
    "@type": "Person",
    "name": "Sheeba Samuel"
   }
  ],
  "copyrightHolder": [
   {
    "@type": "Organization",
    "name": "Heinz Nixdorf Chair for Distributed Information Systems",
    "url": "http://fusion.cs.uni-jena.de/"
   }
  ],
  "copyrightYear": 2020,
  "kernelspec": {
   "display_name": "Python 3",
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   "name": "python3"
  },
  "language_info": {
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
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  "license": "https://creativecommons.org/licenses/by/4.0/",
  "title": "A Survey on Understanding Experiments and Research Practices for Reproducibility",
  "toc": {
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