1 | # Wrapper for the generic functions written in python from 'generic_tools.py' |
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2 | # L. Fita, LMD. June 2016 |
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3 | # Python to manage netCDF files. |
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4 | # From L. Fita work in different places: LMD (France) |
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5 | # More information at: http://www.xn--llusfb-5va.cat/python/PyNCplot |
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6 | # |
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7 | # pyNCplot and its component generic.py comes with ABSOLUTELY NO WARRANTY. |
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8 | # This work is licendes under a Creative Commons |
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9 | # Attribution-ShareAlike 4.0 International License (http://creativecommons.org/licenses/by-sa/4.0) |
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10 | # |
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11 | |
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12 | from optparse import OptionParser |
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13 | import numpy as np |
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14 | import datetime as dt |
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15 | import generic_tools as gen |
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16 | |
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17 | main = 'generic.py' |
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18 | errormsg = 'ERROR -- error -- ERROR -- error' |
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19 | warnmsg = 'WARNING -- warning --WARNING -- warning' |
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20 | import os |
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21 | import re |
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22 | |
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23 | # ASCIIfile_stats: Function to provide the statistics of a series of values from an ASCII file |
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24 | # coincident_CFtimes: Function to make coincident times for two different sets of CFtimes |
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25 | # count_cond: Function to count values of a variable which attain a condition |
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26 | # create_LateX_figs: Function to create a LaTeX from a folder with multiple plots from different values |
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27 | # datetimeStr_conversion: Function to transform a string date to an another date object |
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28 | # get_right_CFtimeunits: Function to get the right CFtime units from any given format |
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29 | # grid_combinations: Function to provide all the possible grid points combination for a given pair of values |
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30 | # x,y= pair of grid points |
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31 | # inf_operSlist: Function to provide information from a string as a list separated by |
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32 | # a given character followig a given operation and a set of values |
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33 | # interpolate_locs: Function to provide interpolate locations on a given axis |
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34 | # PolyArea: Function to compute the area of the polygon following 'Shoelace formula' |
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35 | # radial_points: Function to provide a number of grid point positions for a given angle |
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36 | # radius_dist: Function to generate a matrix with the distance at a given point |
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37 | # rmNOnum: Removing from a string all that characters which are not numbers |
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38 | # running_mean: Function to compute a running mean of a series of values |
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39 | # significant_decomposition: Function to decompose a given number by its signifcant potencies |
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40 | # squared_radial: Function to provide the series of radii as composite of pairs (x,y) of gid cells |
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41 | # Npt= largest amount of grid points on x and y directions |
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42 | # table_tex_file: Function to write into a file a LaTeX tabular from a table of values |
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43 | # unitsDate: Function to know how many units of time are from a given pair of dates |
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44 | # variables_values: Function to provide values to plot the different variables values from ASCII file |
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45 | # wdismean: Function to compute the mean value weighted to its 4 distances |
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46 | # WRFsetup: Function to check the set-up of a series of model namelist |
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47 | |
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48 | # Character to split passed values |
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49 | cS = ',' |
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50 | # Character to split a serie of values |
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51 | cV = '@' |
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52 | # Character for spaces |
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53 | cE = '!' |
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54 | |
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55 | # List of available operations |
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56 | operations=['ASCIIfile_stats', 'coincident_CFtimes', 'count_cond', \ |
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57 | 'create_LateX_figs', 'datetimeStr_conversion', 'get_right_CFtimeunits', \ |
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58 | 'grid_combinations', 'inf_operSlist', \ |
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59 | 'interpolate_locs', 'latex_fig_array', 'list_operations', 'PolyArea', \ |
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60 | 'radial_points', 'radius_dist', \ |
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61 | 'rmNOnum', 'running_mean', \ |
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62 | 'significant_decomposition', 'squared_radial', \ |
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63 | 'table_tex_file', 'unitsDate', 'variables_values', 'wdismean', 'WRFsetup'] |
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64 | |
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65 | hundredvals = '0' |
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66 | for i in range(1,100): hundredvals = hundredvals + cV + str(i) |
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67 | |
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68 | vs100 = '0@1@2@3@4@5@6@7@8@9@10@11@12@13@14@15@16@17@18@19@20@21@22@23@24@25@26@27' |
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69 | vs100 = vs100 + '@28@29@30@31@32@33@34@35@36@37@38@39@40@41@42@43@44@45@46@47@48@49' |
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70 | vs100 = vs100 + '@50@51@52@53@54@55@56@57@58@59@60@61@62@63@64@65@66@67@68@69@70@71' |
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71 | va100 = vs100 + '@72@73@74@75@76@77@78@79@80@81@82@83@84@85@86@87@88@89@90@91@92@93' |
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72 | va100 = vs100 + '@94@95@96@97@98@99' |
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73 | |
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74 | ## e.g. # generic.py -o 'coincident_CFtimes' -S '0@1@2@3@4@5@6@7@8@9,seconds since 1949-12-01 00:00:00,hours since 1949-12-01 00:00:00' |
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75 | ## e.g. # generic.py -o count_cond -S 0@1@2@3@4@5@6@7@8@9,4,le |
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76 | ## e.g. # generic.py -o datetimeStr_conversion -S '1976-02-17_08:32:05,Y-m-d_H:M:S,matYmdHMS' |
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77 | ## e.g. # generic.py -o grid_combinations -S 1,2 |
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78 | ## e.g. # generic.py -o interpolate_locs -S -1.2@2.4@5.6@7.8@12.0,0.5@2.5,lin |
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79 | ## e.g. # generic.py -o PolyArea -S -0.5@0.5@0.5@-0.5,0.5@0.5@-0.5@-0.5 |
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80 | ## e.g. # generic.py -o radial_points -S 0.785398163397,5 |
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81 | ## e.g. # generic.py -o radius_dist -S 3,5,2,2 |
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82 | ## e.g. # generic.py -o rmNOnum -S LMD123IPSL |
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83 | ## e.g. # generic.py -o significant_decomposition -S 3.576,-2 |
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84 | ## e.g. # generic.py -o table_tex_file -S '5,3,0@5@10@1@6@11@2@7@12@3@8@13@4@9@14,!@a@b@c@d@e,i@ii@iii,table.tex' |
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85 | ## e.g. # generic.py -o unitsDate -S '19490101000000,19760217082932,second' |
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86 | ## e.g. # generic.py -o running_mean -S 0@1@2@3@4@5@6@7@8@9,10 |
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87 | ## e.g. # generic.py -o squared_radial -S 3 |
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88 | ## e.g. # generic.py -o variables_values -S 'hus' |
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89 | ## e.g. # generic.py -o wdismean -S 0.005@0.005,0.@1.@2.@3. |
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90 | ## e.g. # generic.py -o WRFsetup -S '/home/lluis/estudios/RELAMPAGO/SimCoor/UBA/namelist.input@/home/lluis/estudios/RELAMPAGO/SimCoor/SMN/namelist.input@/home/lluis/estudios/RELAMPAGO/SimCoor/NOA-IERSD/namelist.input@/home/lluis/estudios/RELAMPAGO/SimCoor/UBAmili/namelist.input,basic,textabrow' |
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91 | ## e.g. # generic.py -o ASCIIfile_stats -S times_CDXWRF1.dat,#,R |
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92 | ## e.g. # generic.py -o inf_operSlist -S '-98.21:1.2:3.45:100.1:34321.1,threshold,:,3.' |
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93 | ## e.g. # generic.py -o create_LateX_figs -S '/home/lluis/estudios/FPS_ALPS/additional/IOP/analysis/figs,WindRose_obs_@SkewT-logP_obs_ta-tda@SkewT-logP_obs_evol@WindRose_obs-sim_step@SkewT-logP_obs-sim_step@SkewT-logP_obs-sim_evol,10868@16080@16144@16546,png' |
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94 | ## e.g. # generic.py -o get_right_CFtimeunits -S 'minutes!since!1-1-1' |
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95 | |
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96 | operationnames = "'" + gen.numVector_String(operations, "', '") + "'" |
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97 | valuesinf = "'" + cS + "' list of values to use according to the operation ('" + cV +\ |
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98 | "' for list of values)" |
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99 | |
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100 | parser = OptionParser() |
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101 | parser.add_option("-o", "--operation", type='choice', dest="operation", |
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102 | choices=operations, help="operation to make: " + operationnames, metavar="OPER") |
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103 | parser.add_option("-S", "--valueS (when applicable)", dest="values", |
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104 | help=valuesinf, metavar="VALUES") |
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105 | (opts, args) = parser.parse_args() |
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106 | |
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107 | ####### ####### |
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108 | ## MAIN |
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109 | ####### |
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110 | oper = opts.operation |
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111 | |
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112 | if oper == 'list_operations': |
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113 | # From: http://www.diveintopython.net/power_of_introspection/all_together.html |
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114 | object = gen |
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115 | for opern in operations: |
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116 | if opern != 'list_operations': |
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117 | print opern + '_______ ______ _____ ____ ___ __ _' |
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118 | print getattr(object, opern).__doc__ |
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119 | |
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120 | elif oper == 'ASCIIfile_stats': |
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121 | Nvals = 3 |
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122 | vals = opts.values.split(cS) |
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123 | if vals[0] == 'h': |
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124 | print gen.ASCIIfile_stats.__doc__ |
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125 | quit(-1) |
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126 | else: |
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127 | if len(vals) != Nvals: |
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128 | print errormsg |
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129 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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130 | len(vals), ' has passed!!' |
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131 | print gen.ASCIIfile_stats.__doc__ |
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132 | quit(-1) |
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133 | vals0 = vals[0] |
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134 | vals1 = vals[1] |
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135 | vals2 = vals[2] |
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136 | |
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137 | print gen.ASCIIfile_stats(vals0, vals1, vals2) |
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138 | |
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139 | elif oper == 'coincident_CFtimes': |
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140 | Nvals = 3 |
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141 | vals = opts.values.split(cS) |
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142 | if vals[0] == 'h': |
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143 | print gen.coincident_CFtimes.__doc__ |
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144 | quit(-1) |
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145 | else: |
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146 | if len(vals) != Nvals: |
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147 | print errormsg |
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148 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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149 | len(vals), ' has passed!!' |
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150 | print gen.coincident_CFtimes.__doc__ |
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151 | quit(-1) |
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152 | vals0 = np.array(vals[0].split(cV), dtype=np.float) |
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153 | print gen.coincident_CFtimes(vals0, vals[1], vals[2]) |
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154 | |
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155 | elif oper == 'count_cond': |
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156 | Nvals = 3 |
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157 | vals = opts.values.split(cS) |
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158 | if vals[0] == 'h': |
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159 | print gen.count_cond.__doc__ |
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160 | quit(-1) |
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161 | else: |
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162 | if len(vals) != Nvals: |
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163 | print errormsg |
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164 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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165 | len(vals), ' has passed!!' |
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166 | print gen.count_cond.__doc__ |
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167 | quit(-1) |
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168 | vals0 = np.array(vals[0].split(cV), dtype=np.float) |
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169 | print gen.count_cond(np.array(vals[0].split(cV), dtype=np.float), \ |
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170 | np.float(vals[1]), vals[2]) |
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171 | |
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172 | |
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173 | elif oper == 'create_LateX_figs': |
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174 | Nvals = 4 |
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175 | vals = opts.values.split(cS) |
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176 | if vals[0] == 'h': |
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177 | print gen.create_LateX_figs.__doc__ |
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178 | quit(-1) |
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179 | else: |
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180 | if len(vals) != Nvals: |
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181 | print errormsg |
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182 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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183 | len(vals), ' has passed!!' |
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184 | print gen.create_LateX_figs.__doc__ |
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185 | quit(-1) |
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186 | vals0 = vals[0] |
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187 | vals1 = vals[1].split('@') |
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188 | vals2 = vals[2].split('@') |
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189 | vals3 = vals[3] |
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190 | |
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191 | print gen.create_LateX_figs(vals0, vals1, vals2, vals3) |
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192 | |
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193 | elif oper == 'datetimeStr_conversion': |
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194 | Nvals = 3 |
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195 | vals = opts.values.split(cS) |
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196 | if vals[0] == 'h': |
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197 | print gen.datetimeStr_conversion.__doc__ |
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198 | quit(-1) |
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199 | |
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200 | newvals = [] |
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201 | if vals[1] == 'cfTime': |
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202 | newvals.append(vals[0]) |
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203 | newvals.append(vals[1]+','+vals[2]) |
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204 | if vals[2] == 'cfTime': newvals.append(vals[3]+','+vals[4].replace('!',' ')) |
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205 | vals = list(newvals) |
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206 | if vals[2] == 'cfTime': |
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207 | newvals.append(vals[0]) |
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208 | newvals.append(vals[1]) |
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209 | newvals.append(vals[2]+','+vals[3].replace('!',' ')) |
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210 | vals = list(newvals) |
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211 | if len(vals) != Nvals: |
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212 | print errormsg |
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213 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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214 | len(vals), ' has passed!!' |
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215 | print gen.datetimeStr_conversion.__doc__ |
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216 | quit(-1) |
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217 | print gen.datetimeStr_conversion(vals[0], vals[1], vals[2]) |
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218 | |
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219 | #'days_period' |
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220 | |
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221 | elif oper == 'get_right_CFtimeunits': |
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222 | Nvals = 1 |
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223 | vals = opts.values.split(cS) |
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224 | if vals[0] == 'h': |
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225 | print gen.get_right_CFtimeunits.__doc__ |
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226 | quit(-1) |
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227 | else: |
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228 | if len(vals) != Nvals: |
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229 | print errormsg |
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230 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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231 | len(vals), ' has passed!!' |
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232 | print gen.get_right_CFtimeunits.__doc__ |
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233 | quit(-1) |
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234 | print gen.get_right_CFtimeunits(vals[0].replace('!', ' ')) |
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235 | |
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236 | elif oper == 'grid_combinations': |
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237 | Nvals = 2 |
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238 | vals = opts.values.split(cS) |
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239 | if vals[0] == 'h': |
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240 | print gen.grid_combinations.__doc__ |
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241 | quit(-1) |
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242 | else: |
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243 | if len(vals) != Nvals: |
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244 | print errormsg |
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245 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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246 | len(vals), ' has passed!!' |
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247 | print gen.grid_combinations.__doc__ |
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248 | quit(-1) |
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249 | |
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250 | print gen.grid_combinations(np.int(vals[0]), np.int(vals[1])) |
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251 | |
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252 | elif oper == 'latex_fig_array': |
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253 | vals = opts.values.split(cS) |
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254 | if vals[0] == 'h': |
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255 | print gen.latex_fig_array.__doc__ |
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256 | print " NOTE: first argument as existing LaTeX file" |
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257 | print " figs: passing list of figures as '@' separated list" |
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258 | print " caption: using '!' for spaces" |
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259 | quit(-1) |
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260 | else: |
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261 | expectargs = '[latexfile],[figs],[figcaption],[figlabel],[dist],[refsize],'+ \ |
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262 | '[width],[height],[dorest]' |
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263 | gen.check_arguments(oper,opts.values,expectargs,cS) |
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264 | |
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265 | objf = open(vals[0], 'a') |
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266 | |
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267 | figs = vals[1].split('@') |
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268 | caption = vals[2].replace('!',' ') |
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269 | gen.latex_fig_array(figs, objf, caption, vals[3], dist=vals[4], \ |
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270 | refsize=vals[5], width=vals[6], height=vals[7], dorest=vals[8]) |
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271 | objf.write('\\end{document}\n') |
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272 | objf.close() |
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273 | |
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274 | elif oper == 'inf_operSlist': |
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275 | Nvals = 4 |
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276 | vals = opts.values.split(cS) |
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277 | if vals[0] == 'h': |
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278 | print gen.inf_operSlist.__doc__ |
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279 | quit(-1) |
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280 | else: |
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281 | if len(vals) != Nvals: |
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282 | print errormsg |
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283 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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284 | len(vals), ' has passed!!' |
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285 | print gen.inf_operSlist.__doc__ |
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286 | quit(-1) |
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287 | vals0 = vals[0] |
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288 | vals1 = vals[1] |
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289 | vals2 = vals[2] |
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290 | vals3 = vals[3] |
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291 | |
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292 | print gen.inf_operSlist(vals0, vals1, char=vals2, values=vals3) |
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293 | |
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294 | elif oper == 'interpolate_locs': |
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295 | Nvals = 3 |
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296 | vals = opts.values.split(cS) |
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297 | if vals[0] == 'h': |
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298 | print gen.interpolate_locs.__doc__ |
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299 | quit(-1) |
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300 | else: |
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301 | if len(vals) != Nvals: |
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302 | print errormsg |
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303 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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304 | len(vals), ' has passed!!' |
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305 | print gen.interpolate_locs.__doc__ |
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306 | quit(-1) |
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307 | vals0 = np.array(vals[0].split(cV), dtype=np.float) |
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308 | vals1 = np.array(vals[1].split(cV), dtype=np.float) |
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309 | |
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310 | print gen.interpolate_locs(vals0, vals1, vals[2]) |
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311 | |
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312 | elif oper == 'PolyArea': |
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313 | Nvals = 2 |
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314 | vals = opts.values.split(cS) |
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315 | if vals[0] == 'h': |
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316 | print gen.PolyArea.__doc__ |
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317 | quit(-1) |
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318 | else: |
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319 | if len(vals) != Nvals: |
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320 | print errormsg |
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321 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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322 | len(vals), ' has passed!!' |
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323 | print gen.PolyArea.__doc__ |
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324 | quit(-1) |
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325 | xvals = np.array(vals[0].split(cV), dtype=np.float) |
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326 | yvals = np.array(vals[1].split(cV), dtype=np.float) |
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327 | |
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328 | print gen.PolyArea(xvals, yvals) |
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329 | |
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330 | elif oper == 'radial_points': |
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331 | Nvals = 2 |
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332 | vals = opts.values.split(cS) |
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333 | if vals[0] == 'h': |
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334 | print gen.radial_points.__doc__ |
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335 | quit(-1) |
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336 | else: |
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337 | if len(vals) != Nvals: |
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338 | print errormsg |
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339 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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340 | len(vals), ' has passed!!' |
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341 | print gen.radial_points.__doc__ |
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342 | quit(-1) |
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343 | print gen.radial_points(np.float(vals[0]), int(vals[1])) |
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344 | |
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345 | elif oper == 'radius_dist': |
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346 | Nvals = 1 |
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347 | vals = opts.values.split(cS) |
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348 | if vals[0] == 'h': |
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349 | print gen.radius_dist.__doc__ |
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350 | quit(-1) |
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351 | else: |
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352 | if len(vals) != Nvals: |
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353 | print errormsg |
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354 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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355 | len(vals), ' has passed!!' |
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356 | print gen.radius_dist.__doc__ |
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357 | quit(-1) |
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358 | print gen.radius_dist(int(vals[0]), int(vals[1]), int(vals[2]), int(vals[2])) |
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359 | |
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360 | elif oper == 'rmNOnum': |
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361 | Nvals = 1 |
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362 | vals = opts.values.split(cS) |
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363 | if vals[0] == 'h': |
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364 | print gen.rmNOnum.__doc__ |
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365 | quit(-1) |
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366 | else: |
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367 | if len(vals) != Nvals: |
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368 | print errormsg |
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369 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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370 | len(vals), ' has passed!!' |
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371 | print gen.rmNOnum.__doc__ |
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372 | quit(-1) |
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373 | print gen.rmNOnum(vals[0]) |
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374 | |
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375 | elif oper == 'running_mean': |
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376 | Nvals = 2 |
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377 | vals = opts.values.split(cS) |
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378 | if vals[0] == 'h': |
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379 | print gen.running_mean.__doc__ |
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380 | quit(-1) |
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381 | else: |
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382 | if len(vals) != Nvals: |
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383 | print errormsg |
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384 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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385 | len(vals), ' has passed!!' |
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386 | print gen.running_mean.__doc__ |
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387 | quit(-1) |
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388 | print gen.running_mean(np.array(vals[0].split(cV), dtype=np.float), int(vals[1])) |
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389 | |
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390 | elif oper == 'significant_decomposition': |
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391 | Nvals = 2 |
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392 | vals = opts.values.split(cS) |
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393 | if vals[0] == 'h': |
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394 | print gen.significant_decomposition.__doc__ |
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395 | quit(-1) |
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396 | else: |
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397 | if len(vals) != Nvals: |
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398 | print errormsg |
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399 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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400 | len(vals), ' has passed!!' |
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401 | print gen.significant_decomposition.__doc__ |
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402 | quit(-1) |
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403 | print gen.significant_decomposition(np.float(vals[0]), int(vals[1])) |
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404 | |
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405 | elif oper == 'squared_radial': |
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406 | Nvals = 1 |
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407 | vals = opts.values.split(cS) |
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408 | if vals[0] == 'h': |
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409 | print gen.squared_radial.__doc__ |
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410 | quit(-1) |
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411 | else: |
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412 | if len(vals) != Nvals: |
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413 | print errormsg |
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414 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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415 | len(vals), ' has passed!!' |
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416 | print gen.squared_radial.__doc__ |
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417 | quit(-1) |
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418 | print gen.squared_radial(int(vals[0])) |
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419 | |
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420 | elif oper == 'table_tex_file': |
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421 | Nvals = 6 |
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422 | vals = opts.values.split(cS) |
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423 | if vals[0] == 'h': |
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424 | print gen.table_tex_file.__doc__ |
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425 | quit(-1) |
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426 | else: |
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427 | if len(vals) != Nvals: |
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428 | print errormsg |
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429 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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430 | len(vals), ' has passed!!' |
---|
431 | print gen.table_tex_file.__doc__ |
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432 | quit(-1) |
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433 | vals2 = np.array(vals[2].split(cV),dtype=np.float).reshape(int(vals[0]), \ |
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434 | int(vals[1])) |
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435 | vals3 = vals[3].replace(cE,' ').split(cV) |
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436 | vals4 = vals[4].replace(cE,' ').split(cV) |
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437 | |
---|
438 | print gen.table_tex_file(int(vals[0]), int(vals[1]), vals2, vals3, vals4, \ |
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439 | vals[5]) |
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440 | |
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441 | elif oper == 'unitsDate': |
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442 | Nvals = 3 |
---|
443 | vals = opts.values.split(cS) |
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444 | if vals[0] == 'h': |
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445 | print gen.unitsDate.__doc__ |
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446 | quit(-1) |
---|
447 | else: |
---|
448 | if len(vals) != Nvals: |
---|
449 | print errormsg |
---|
450 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
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451 | len(vals), ' has passed!!' |
---|
452 | print gen.unitsDate.__doc__ |
---|
453 | quit(-1) |
---|
454 | print gen.unitsDate(vals[0], vals[1], vals[2]) |
---|
455 | |
---|
456 | elif oper == 'variables_values': |
---|
457 | Nvals = 1 |
---|
458 | vals = opts.values.split(cS) |
---|
459 | if vals[0] == 'h': |
---|
460 | print gen.variables_values.__doc__ |
---|
461 | quit(-1) |
---|
462 | else: |
---|
463 | if len(vals) != Nvals: |
---|
464 | print errormsg |
---|
465 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
---|
466 | len(vals), ' has passed!!' |
---|
467 | print gen.variables_values.__doc__ |
---|
468 | quit(-1) |
---|
469 | result = gen.variables_values(vals[0]) |
---|
470 | print gen.numVector_String(result,':') |
---|
471 | |
---|
472 | elif oper == 'wdismean': |
---|
473 | Nvals = 2 |
---|
474 | vals = opts.values.split(cS) |
---|
475 | if vals[0] == 'h': |
---|
476 | print gen.wdismean.__doc__ |
---|
477 | quit(-1) |
---|
478 | else: |
---|
479 | if len(vals) != Nvals: |
---|
480 | print errormsg |
---|
481 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
---|
482 | len(vals), ' has passed!!' |
---|
483 | print gen.wdismean.__doc__ |
---|
484 | quit(-1) |
---|
485 | vals0 = np.array(vals[0].split(cV), dtype=np.float) |
---|
486 | vals1 = np.array(vals[1].split(cV), dtype=np.float).reshape(2,2) |
---|
487 | |
---|
488 | print gen.wdismean(vals0, vals1) |
---|
489 | |
---|
490 | elif oper == 'WRFsetup': |
---|
491 | Nvals = 3 |
---|
492 | vals = opts.values.split(cS) |
---|
493 | if vals[0] == 'h': |
---|
494 | print gen.WRFsetup.__doc__ |
---|
495 | quit(-1) |
---|
496 | else: |
---|
497 | if len(vals) != Nvals: |
---|
498 | print errormsg |
---|
499 | print ' ' + main + ": operation '" + oper + "' requires", Nvals, 'and', \ |
---|
500 | len(vals), ' has passed!!' |
---|
501 | print gen.WRFsetup.__doc__ |
---|
502 | quit(-1) |
---|
503 | vals0 = vals[0].replace('@', ',') |
---|
504 | vals1 = vals[1] |
---|
505 | vals2 = vals[2] |
---|
506 | |
---|
507 | print gen.WRFsetup(vals0, vals1, vals2) |
---|
508 | |
---|