├── examples ├── ex1.pdf ├── ex1.png ├── ex2.pdf ├── ex2.png ├── ex3.pdf ├── ex3.png └── inputs │ ├── substance1.txt │ ├── substance2.txt │ └── substance1.xy ├── requirements.txt ├── .gitignore ├── LICENSE ├── README.md └── MassSpectraPlot └── MassSpectraPlot.py /examples/ex1.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/matrixx567/MassSpectraPlot/HEAD/examples/ex1.pdf -------------------------------------------------------------------------------- /examples/ex1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/matrixx567/MassSpectraPlot/HEAD/examples/ex1.png -------------------------------------------------------------------------------- /examples/ex2.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/matrixx567/MassSpectraPlot/HEAD/examples/ex2.pdf -------------------------------------------------------------------------------- /examples/ex2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/matrixx567/MassSpectraPlot/HEAD/examples/ex2.png -------------------------------------------------------------------------------- /examples/ex3.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/matrixx567/MassSpectraPlot/HEAD/examples/ex3.pdf -------------------------------------------------------------------------------- /examples/ex3.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/matrixx567/MassSpectraPlot/HEAD/examples/ex3.png -------------------------------------------------------------------------------- /examples/inputs/substance1.txt: -------------------------------------------------------------------------------- 1 | 403.0;Peak 1 2 | 385.0;Peak 2 3 | 367.0;Peak 3 4 | 349.0;Peak 4 5 | 339.0;Peak 5 6 | 331.0;Peak 6 7 | 321.0;Peak 7 8 | 313.0;Peak 8 9 | 307.0;Peak 9 10 | 303.0;Peak 10 11 | 293.0;Peak 11 12 | 289.0;Peak 12 13 | 279.0;Peak 13 14 | 271.0;Peak 14 15 | 253.0;Peak 15 16 | -------------------------------------------------------------------------------- /examples/inputs/substance2.txt: -------------------------------------------------------------------------------- 1 | 445.0;Peak 1 2 | 427.0;Peak 2 3 | 409.0;Peak 3 4 | 399.0;Peak 4 5 | 391.0;Peak 5 6 | 385.0;Peak 6 7 | 381.0;Peak 7 8 | 367.0;Peak 8 9 | 349.0;Peak 9 10 | 339.0;Peak 10 11 | 331.0;Peak 11 12 | 321.0;Peak 12 13 | 313.0;Peak 13 14 | 303.0;Peak 14 15 | 293.0;Peak 15 16 | 289.0;Peak 16 17 | 271.0;Peak 17 18 | 253.0;Peak 18 19 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | alabaster==0.7.4 2 | Babel==1.3 3 | backports.ssl-match-hostname==3.4.0.2 4 | certifi==2015.4.28 5 | colorama==0.3.3 6 | docutils==0.12 7 | ipython==3.1.0 8 | Jinja2==2.7.3 9 | jsonschema==2.4.0 10 | MarkupSafe==0.23 11 | matplotlib==1.4.3 12 | nose==1.3.6 13 | numpy==1.9.2 14 | pandas==0.16.1 15 | pockets==0.2.4 16 | Pygments==2.0.2 17 | pyparsing==2.0.3 18 | python-dateutil==2.4.2 19 | pytz==2015.4 20 | pyzmq==14.6.0 21 | six==1.9.0 22 | snowballstemmer==1.2.0 23 | Sphinx==1.2.3 24 | sphinx-rtd-theme==0.1.8 25 | sphinxcontrib-napoleon==0.3.10 26 | sympy==0.7.6 27 | tornado==4.1 28 | wheel==0.24.0 29 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | 5 | # C extensions 6 | *.so 7 | 8 | # Distribution / packaging 9 | .Python 10 | env/ 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | *.egg-info/ 23 | .installed.cfg 24 | *.egg 25 | 26 | # PyInstaller 27 | # Usually these files are written by a python script from a template 28 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 29 | *.manifest 30 | *.spec 31 | 32 | # Installer logs 33 | pip-log.txt 34 | pip-delete-this-directory.txt 35 | 36 | # Unit test / coverage reports 37 | htmlcov/ 38 | .tox/ 39 | .coverage 40 | .coverage.* 41 | .cache 42 | nosetests.xml 43 | coverage.xml 44 | *,cover 45 | 46 | # Translations 47 | *.mo 48 | *.pot 49 | 50 | # Django stuff: 51 | *.log 52 | 53 | # Sphinx documentation 54 | docs/_build/ 55 | 56 | # PyBuilder 57 | target/ 58 | 59 | #PyCharm 60 | .idea/ -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | The MIT License (MIT) 2 | 3 | Copyright (c) 2015 Martin N 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | 23 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # MassSpectraPlot 2 | 3 | Plotting mass spectra with Matplotlib. The project provides a package to plot high-quality mass spectra for scientific papers and thesis. 4 | 5 | ![Example](https://raw.githubusercontent.com/matrixx567/MassSpectraPlot/master/examples/ex3.png) 6 | 7 | ## Introduction 8 | 9 | Script for generating high-quality plots for mass spectra using python and matplotlib. 10 | 11 | The package generates pdf or any other image format, which is provides by matplotlib. The scripts can be used for scientific publications with Latex support. 12 | 13 | The package provides three different ways to plot and annotate a mass spectrum. Some examples can be found in the [Usage section](#using-the-script). 14 | 15 | **Properties** 16 | 17 | - All dimensions are defined in Millimeters. 18 | - Import raw files from Bruker 19 | - Automatic annotate a list of peaks from a text file. 20 | - Manually annotate peaks 21 | - Manually annotate distances between peaks 22 | 23 | ## Installation 24 | 25 | The MassSpectraPlot scripts need a Latex compiler for generating the plots. The scripts are tested on Windows using the Miktex package. But it should also work on any other system. 26 | 27 | The script is programmed using Python 3 with the additional installed packages: 28 | 29 | - numpy 30 | - pandas 31 | - matplotlib 32 | 33 | A `requirements.txt` for virtualenv is also available in the repository. 34 | 35 | ## Generate the examples 36 | 37 | The examples can be generated by executing the `MassSpectraPlot.py` script. 38 | 39 | ## Using the script 40 | 41 | The `MassSpectraPlot.py` script contains three different examples for plotting a mass spectrum. 42 | 43 | ### Exporting the raw data from the mass spectra software 44 | 45 | Every plot of a mass spectrum uses a ASCII based file with x/y data as inputs. This file must have the ending `*.xy`. An example of an input file can be found in the [`examples/inputs` folder][githubexamples]. The x and y values are divided by a space character. 46 | 47 | For example the input data for the spectrum can be exported from Bruker Daltonics DataAnalysis. Using `File -> Export -> Mass Spectrum -> Save as simple x-y ASCII File (*.xy)` in the software to generate the appropriate file. 48 | 49 | ### Generating the peak label list 50 | 51 | The automatic annotation of peaks, described in the next section, uses an additional input file. This file must have the same filename as the corresponding xy-file. The ending of the filename is `*.txt`. E.g., `substance1.txt` contains the peak labels for the spectra in `substance1.xy`. 52 | 53 | This file is a comma-separated file with two colons. The first value is the x-value of the peak to be annotated and the second colon contains the label for the peak. 54 | 55 | An example of this file can be found in [`examples/inputs` folder][githubexamples]. 56 | 57 | ### Automatic annotate the peaks 58 | 59 | An example for automic generation of the labels is shown in method `generate_massspectra_plot_automatic_labels(input_filename, output_filename)`. 60 | 61 | The function will read the raw values and the label values from the input files. After that the function will generate all labels with a definated minimum distance (`delta_x_text_labels_mm`) between the labels. 62 | 63 | ![Example 1](https://raw.githubusercontent.com/matrixx567/MassSpectraPlot/master/examples/ex1.png) 64 | 65 | ### Manually annotate peaks 66 | 67 | A peak can be annotated with the function `annotate_point`. Therefore the x value of the point and the horizontal position of the label have to be given. By using the `raw_values` dataframe the function searches the peak next to the given `x_value` automatically. 68 | 69 | The method `generate_massspectra_plot_distance_peak_manual_annotation(input_filename, output_filename)` shows the usage of the explained function. 70 | 71 | ![Example 2](https://raw.githubusercontent.com/matrixx567/MassSpectraPlot/master/examples/ex2.png) 72 | 73 | ### Manually annotate distances between peaks 74 | 75 | A distance between two peaks can be plotted by using the function `annotate_distance`. 76 | 77 | An example is shown in the function `generate_massspectra_plot_distance_peak_manual_annotation(input_filename, output_filename)`. 78 | 79 | ### Comparing two individual plots 80 | 81 | The function `generate_massspectra_two_plot_manual_annotation(input_filename1, input_filename2, output_filename)` plots two graphs vertically. 82 | 83 | ![Example 3](https://raw.githubusercontent.com/matrixx567/MassSpectraPlot/master/examples/ex1.png) 84 | 85 | ### Customize the plots 86 | 87 | The margins and dimensions of the plots are given in millimeters and can be easily customized. 88 | 89 | ## Contribution 90 | 91 | Feel free to contact me if you have questions or comments. It would be nice if you also share your results when using the scripts. 92 | 93 | ## License 94 | 95 | ``` 96 | **The MIT License (MIT)** 97 | 98 | Copyright (c) 2015 Martin Noehrer 99 | 100 | Permission is hereby granted, free of charge, to any person obtaining a copy 101 | of this software and associated documentation files (the "Software"), to deal 102 | in the Software without restriction, including without limitation the rights 103 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 104 | copies of the Software, and to permit persons to whom the Software is 105 | furnished to do so, subject to the following conditions: 106 | 107 | The above copyright notice and this permission notice shall be included in all 108 | copies or substantial portions of the Software. 109 | 110 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 111 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 112 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 113 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 114 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 115 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 116 | SOFTWARE. 117 | ``` 118 | 119 | [githubexamples]: https://github.com/matrixx567/MassSpectraPlot/tree/master/examples 120 | -------------------------------------------------------------------------------- /MassSpectraPlot/MassSpectraPlot.py: -------------------------------------------------------------------------------- 1 | import pandas as pd 2 | import numpy as np 3 | import math as mt 4 | import matplotlib.pyplot as plt 5 | 6 | from matplotlib import rcParams 7 | 8 | 9 | filetype = "pdf" # "png" or "pdf" 10 | """str: Filetype of the outputfile 11 | 12 | Tested with "pdf" and "png" 13 | """ 14 | 15 | figdpi = 200 16 | """int: DPI of the image output file 17 | """ 18 | 19 | 20 | # correct DPI of figure if using pdf 21 | if filetype.lower() == "pdf": 22 | figdpi = 72 23 | 24 | params = {'backend': 'pdf', 25 | 'figure.dpi': figdpi, # 72 for pdf 26 | 'axes.labelsize': 10, 27 | 'font.size': 10, 28 | 'legend.fontsize': 8, 29 | 'legend.frameon': True, 30 | 'xtick.labelsize': 8, 31 | 'ytick.labelsize': 8, 32 | 'font.family': 'serif', 33 | 'text.usetex': True, 34 | 'text.latex.unicode': True, 35 | 'axes.linewidth': 0.5, 36 | 'xtick.major.size': 4, # major tick size in points 37 | 'xtick.minor.size': 2, # minor tick size in points 38 | 'xtick.direction': 'out', 39 | 'ytick.major.size': 4, # major tick size in points 40 | 'ytick.minor.size': 2, # minor tick size in points 41 | 'ytick.direction': 'out', 42 | } 43 | plt.rcParams.update(params) 44 | 45 | 46 | def __get_max_peak(x_value, raw_values): 47 | """Search for the local peak next to the x-value. 48 | 49 | The value searches in the near area of the given x-value for the maximum (local) 50 | peak, which correspondends to the data. 51 | 52 | Args: 53 | x_value (float): m/z value (x-coordinate) of the point, to be annotated 54 | raw_values (Pandas.DataFrame): Data values, which should be annotated 55 | 56 | Returns: 57 | y value of the peak, next to the given x value 58 | 59 | """ 60 | 61 | 62 | raw_values_index = raw_values[raw_values["m/z"] == x_value].index[0] 63 | 64 | value, index = float(raw_values.loc[raw_values_index - 5, "intensity_normalized"]), raw_values_index - 5 65 | 66 | for z in range(-5, 15): 67 | if float(raw_values.loc[raw_values_index + z, "intensity_normalized"]) > value: 68 | value, index = float(raw_values.loc[raw_values_index + z, "intensity_normalized"]), raw_values_index + z 69 | return value 70 | 71 | 72 | def annotate_point(x1, y_pos=0, text='', raw_values=None): 73 | """Annotage a specific point. 74 | 75 | Annotate a point with a label. The label will be placed vertically 76 | with an additional line. 77 | 78 | The function uses the data values and searches for the peak of the 79 | value to be annotated. Therefore the ``raw_values`` parameter is used 80 | 81 | Args: 82 | x1 (float): m/z value (x-coordinate) of the point, to be annotated 83 | y_pos (Optional[float]): Position of the label beginning (y-coordinate). 84 | The value uses the scale of the datapoints. 85 | text (str): Label text 86 | raw_values (Pandas.DataFrame): Data values, which should be annotated 87 | 88 | """ 89 | 90 | delta_point_annotate_line_pixel = 1 91 | 92 | if raw_values is not None: 93 | 94 | if __get_max_peak(x1, raw_values) < (y_pos - delta_point_annotate_line_pixel): 95 | xy_text = (x1, y_pos) 96 | else: 97 | xy_text = (x1, __get_max_peak(x1, raw_values) + delta_point_annotate_line_pixel) 98 | 99 | plt.annotate( 100 | text, xy=(x1, __get_max_peak(x1, raw_values) + delta_point_annotate_line_pixel), xycoords='data', 101 | xytext=xy_text, textcoords='data', 102 | rotation=90, size=8, horizontalalignment='center', verticalalignment='bottom', 103 | arrowprops=dict(arrowstyle='-', color="#808080", linewidth=0.4, shrinkA=0.05, shrinkB=1)) 104 | 105 | 106 | def annotate_distance(x1=0, x2=0, y_pos=0, text='', raw_values=None, rotate_text=0): 107 | """Annotage the distance between two peaks 108 | 109 | Annotate the distance between two given peaks. The text can be placed with a 110 | given angle. 111 | 112 | 113 | Args: 114 | x1 (float): m/z value (x-coordinate) of the left point 115 | x2 (float): m/z value (x-coordinate) of the right point 116 | y_pos (Optional[float]): Position of the label beginning (y-coordinate). 117 | The value uses the scale of the datapoints. 118 | text (str): Label text 119 | raw_values (Pandas.DataFrame): Data values, which should be annotated 120 | rotate_text (Optional[int]): Rotation of the label, should be 0 or 90 121 | 122 | """ 123 | 124 | delta_point_annotate_line_pixel = 1 125 | 126 | if raw_values is not None: 127 | if __get_max_peak(x1, raw_values) < (y_pos - delta_point_annotate_line_pixel): 128 | plt.annotate( 129 | '', xy=(x1, __get_max_peak(x1, raw_values) + delta_point_annotate_line_pixel), xycoords='data', 130 | xytext=(x1, y_pos), textcoords='data', 131 | arrowprops=dict(arrowstyle='-', color="#808080", linewidth=0.4, shrinkA=0.05, shrinkB=0.05)) 132 | 133 | if __get_max_peak(x2, raw_values) < (y_pos - delta_point_annotate_line_pixel): 134 | plt.annotate( 135 | '', xy=(x2, __get_max_peak(x2, raw_values) + delta_point_annotate_line_pixel), xycoords='data', 136 | xytext=(x2, y_pos), textcoords='data', 137 | arrowprops=dict(arrowstyle='-', color="#808080", linewidth=0.4, shrinkA=0.05, shrinkB=0.05)) 138 | 139 | plt.annotate( 140 | '', xy=(x1, y_pos), xycoords='data', 141 | xytext=(x2, y_pos), textcoords='data', 142 | arrowprops=dict(arrowstyle='<|-|>,head_length=0.4,head_width=0.1', 143 | color="black", linewidth=0.6, shrinkA=0.05, shrinkB=0.05)) 144 | plt.annotate( 145 | text, xy=((x1 if x1 <= x2 else x2) + mt.fabs((x1 - x2)) / 2, y_pos), xycoords='data', 146 | rotation=rotate_text, size=8, 147 | horizontalalignment='center', verticalalignment='bottom', 148 | xytext=(0, 2), textcoords='offset points') 149 | 150 | 151 | # Helper functions 152 | 153 | def __figsize_and_margins(plotsize, subplots=(1, 1), **absolute_margins): 154 | """Determine figure size and margins from plot size and absolute margins 155 | 156 | Args: 157 | plotsize: (width, height) of plot area in inch 158 | subplots: (nrows, ncols) of subplots 159 | left, right, top, bottom: absolute margins around plot area 160 | wspace, hspace: width and height spacing between subplots 161 | 162 | Returns: 163 | size: figure size for figsize argument of figure() 164 | margins: relative margins dict suitable for subplots_adjust() 165 | 166 | Example: making 2x2 grid of 3" square plots with specific spacings: 167 | 168 | sz, rm = figsize_and_margins((3,3), (2,2), left=1, right=.5, 169 | top=.5, bottom=1, 170 | wspace=.5, hspace=.5) 171 | figure(figsize=sz) 172 | subplots_adjust(**rm) 173 | subplot(221); subplot(222) 174 | subplot(223); subplot(224) 175 | 176 | Source: http://scipy-central.org/item/65/1/absolute-plot-size-and-margins-in-matplotlib 177 | """ 178 | 179 | pw, ph = plotsize 180 | nr, nc = subplots 181 | amarg = absolute_margins 182 | # dictionary for relative margins 183 | # initialize from rcParams with margins not in amarg 184 | rmarg = dict((m, rcParams['figure.subplot.' + m]) 185 | for m in ('left', 'right', 'top', 'bottom', 'wspace', 'hspace') 186 | if m not in amarg 187 | ) 188 | # subplots_adjust wants wspace and hspace relative to plotsize: 189 | if 'wspace' in amarg: 190 | rmarg['wspace'] = float(amarg['wspace']) / pw 191 | if 'hspace' in amarg: 192 | rmarg['hspace'] = float(amarg['hspace']) / ph 193 | # in terms of the relative margins: 194 | # width * (right - left) 195 | # = ncols * plot_width + (ncols - 1) * wspace * plot_width 196 | # height * (top - bottom) 197 | # = nrows * plot_height + (nrows - 1) * hspace * plot_height 198 | # solve for width and height, using absolute margins as necessary: 199 | width = float((nc + (nc - 1) * rmarg['wspace']) * pw + amarg.get('left', 0) + amarg.get('right', 0)) / ( 200 | rmarg.get('right', 1) - rmarg.get('left', 0)) 201 | height = float((nr + (nr - 1) * rmarg['hspace']) * ph + amarg.get('top', 0) + amarg.get('bottom', 0)) / ( 202 | rmarg.get('top', 1) - rmarg.get('bottom', 0)) 203 | 204 | # now we can get any remaining relative margins 205 | if 'left' in amarg: 206 | rmarg['left'] = float(amarg['left']) / width 207 | if 'right' in amarg: 208 | rmarg['right'] = 1 - float(amarg['right']) / width 209 | if 'top' in amarg: 210 | rmarg['top'] = 1 - float(amarg['top']) / height 211 | if 'bottom' in amarg: 212 | rmarg['bottom'] = float(amarg['bottom']) / height 213 | # return figure size and relative margins 214 | return (width, height), rmarg 215 | 216 | 217 | def __get_ax_size(ax, fig): 218 | """ 219 | Source: http://scipy-central.org/item/65/1/absolute-plot-size-and-margins-in-matplotlib 220 | """ 221 | bbox = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted()) 222 | width, height = bbox.width, bbox.height 223 | width *= fig.dpi 224 | height *= fig.dpi 225 | return width, height 226 | 227 | 228 | def __conv_inch(length_mm): 229 | """Converts a length from millimeters to inch 230 | 231 | Args: 232 | length_mm (int,float): length in millimeters to be converted 233 | 234 | Returns: 235 | float: The converted length in inch 236 | """ 237 | return length_mm / 25.4 238 | 239 | 240 | def generate_massspectra_plot_automatic_labels(input_filename, output_filename): 241 | print("Generate {0} mass spectra plot ({1}.{2}) from {3}.[xy/txt]".format(filetype.upper(), output_filename, 242 | filetype, input_filename)) 243 | 244 | # min and max value of the x axis 245 | min_xaxis = 50 246 | max_xaxis = 425 247 | 248 | # dimensions of the single plot 249 | figwidth_mm = 141 250 | left_margin_mm = 14 251 | right_margin_mm = 2 252 | top_margin_mm = 26 253 | bottom_margin_mm = 13 254 | 255 | plotwidth_mm = figwidth_mm - left_margin_mm - right_margin_mm 256 | plotheight_mm = plotwidth_mm * 0.8 257 | 258 | hspace_mm = 0.1 # horizontal space between two plots 259 | 260 | # read xy input data 261 | raw_values = pd.read_csv(input_filename + ".xy", sep=" ", names=["m/z", "intensity"], 262 | dtype={"m/z": np.float64, "intensity": np.float64}) 263 | # normalize input data 264 | max_val = np.max(raw_values['intensity']) 265 | raw_values["intensity_normalized"] = raw_values['intensity'] / max_val * 100.0 # normalize intensity to percent 266 | 267 | # read txt captions 268 | caption_values = pd.read_csv(input_filename + ".txt", sep=";", names=["m/z", "caption"], dtype={"m/z": np.float64}) 269 | 270 | # find maximum value for each annotate peak - necessary for later calculation of annotation lines 271 | for i in caption_values.index: 272 | raw_values_index = raw_values[raw_values["m/z"] == caption_values.ix[i]["m/z"]].index[0] 273 | value, index = float(raw_values.loc[raw_values_index - 5, "intensity_normalized"]), raw_values_index - 5 274 | 275 | for z in range(-5, 15): 276 | if float(raw_values.loc[raw_values_index + z, "intensity_normalized"]) > value: 277 | value, index = float(raw_values.loc[raw_values_index + z, "intensity_normalized"]), raw_values_index + z 278 | 279 | caption_values.loc[i, "m/z"] = float(raw_values.loc[index, "m/z"]) 280 | caption_values.loc[i, "intensity_normalized"] = value # add intensity to caption table 281 | 282 | # dimension for the annotations in pixel 283 | delta_x_text_labels_mm = 3.8 284 | delta_point_annotate_line_mm = 1 285 | label_annotate_arm_high_mm = 5.3 286 | delta_y_diagonal_annotate_arm_mm = 3.5 287 | delta_y_baseline_axistop_mm = 6.3 288 | delta_label_mznumber_pixel_mm = 7 289 | 290 | fsize, margins = __figsize_and_margins(plotsize=(__conv_inch(plotwidth_mm), __conv_inch(plotheight_mm)), 291 | subplots=(1, 1), 292 | left=__conv_inch(left_margin_mm), right=__conv_inch(right_margin_mm), 293 | top=__conv_inch(top_margin_mm), bottom=__conv_inch(bottom_margin_mm), 294 | wspace=0.01, hspace=__conv_inch(hspace_mm)) 295 | fig = plt.figure(figsize=fsize, ) 296 | plt.subplots_adjust(**margins) 297 | ax = fig.add_subplot(111) 298 | 299 | # delta_dimension in pixel calculate from mm 300 | delta_x_text_labels_pixel = __conv_inch(delta_x_text_labels_mm) * fig.dpi 301 | delta_point_annotate_line_pixel = __conv_inch(delta_point_annotate_line_mm) * fig.dpi 302 | label_annotate_arm_high_pixel = __conv_inch(label_annotate_arm_high_mm) * fig.dpi 303 | delta_y_diagonal_annotate_arm = __conv_inch(delta_y_diagonal_annotate_arm_mm) * fig.dpi 304 | delta_y_baseline_axistop = __conv_inch(delta_y_baseline_axistop_mm) * fig.dpi 305 | delta_label_mznumber_pixel = __conv_inch(delta_label_mznumber_pixel_mm) * fig.dpi 306 | 307 | # plot spectra line 308 | ax.plot(raw_values["m/z"], raw_values["intensity_normalized"], color="black", linewidth=0.8) 309 | 310 | # set x axes range 311 | if min_xaxis is not None and max_xaxis is not None: 312 | ax.set_xlim([int(min_xaxis), int(max_xaxis)]) 313 | 314 | length_x_axis_pixel, length_y_axis_pixel = __get_ax_size(ax, fig) 315 | x_axis_min, x_axis_max = ax.get_xlim() 316 | y_axis_min, y_axis_max = ax.get_ylim() 317 | 318 | list_text_pos = list() 319 | if len(caption_values.index) > 0: 320 | 321 | # annotate from basepeak 322 | basepeak_index = caption_values[caption_values["intensity_normalized"] >= 100.0].index 323 | if len(basepeak_index) == 0: 324 | basepeak_index = [len(caption_values) / 2] 325 | 326 | # annotate peaks left frome basepeak 327 | for z in caption_values.loc[:basepeak_index[0], "m/z"].sort_index(ascending=False): 328 | x_value_pixel = (z - x_axis_min) / (x_axis_max - x_axis_min) * length_x_axis_pixel 329 | 330 | if len(list_text_pos) == 0: 331 | list_text_pos.append(x_value_pixel) 332 | else: 333 | if x_value_pixel > list_text_pos[-1] + delta_x_text_labels_pixel: 334 | list_text_pos.append(x_value_pixel) 335 | else: 336 | list_text_pos.append(list_text_pos[-1] + delta_x_text_labels_pixel) 337 | 338 | # annotate peaks right from basepeak 339 | if basepeak_index[0] + 1 in caption_values.index: 340 | for z in caption_values.loc[basepeak_index[0] + 1:, "m/z"]: 341 | x_value_pixel = (z - x_axis_min) / (x_axis_max - x_axis_min) * length_x_axis_pixel 342 | 343 | if x_value_pixel < list_text_pos[0] - delta_x_text_labels_pixel: 344 | list_text_pos.insert(0, x_value_pixel) 345 | else: 346 | list_text_pos.insert(0, list_text_pos[0] - delta_x_text_labels_pixel) 347 | 348 | # move annotation to left, if the label is out of the axes range 349 | if len(list_text_pos) > 0 and max(list_text_pos) >= length_x_axis_pixel: 350 | print("move labels to left") 351 | calc_delta = max(list_text_pos) - length_x_axis_pixel 352 | for index in range(len(list_text_pos) - 1, 0, -1): 353 | print("change", list_text_pos[index], calc_delta) 354 | if index > 1 and list_text_pos[index] - calc_delta > list_text_pos[index - 1] + delta_x_text_labels_pixel: 355 | list_text_pos[index] = list_text_pos[index] - calc_delta 356 | break 357 | else: 358 | list_text_pos[index] = list_text_pos[index] - calc_delta 359 | 360 | for i in caption_values.index: 361 | 362 | label_x_pos = list_text_pos.pop() 363 | x_value = float(caption_values.loc[i, "m/z"]) 364 | y_value = float(caption_values.loc[i, "intensity_normalized"]) 365 | label_text = str(caption_values.loc[i, "caption"]) 366 | 367 | x_value_pixel = (x_value - x_axis_min) / (x_axis_max - x_axis_min) * length_x_axis_pixel 368 | y_value_pixel = (y_value - y_axis_min) / (y_axis_max - y_axis_min) * length_y_axis_pixel 369 | label_y_pos_pixel = length_y_axis_pixel + delta_y_baseline_axistop 370 | length_y_annotation_line = label_y_pos_pixel - y_value_pixel - delta_point_annotate_line_pixel 371 | label_annotate_arm_low_pixel = length_y_annotation_line - label_annotate_arm_high_pixel - delta_y_diagonal_annotate_arm 372 | 373 | if label_annotate_arm_low_pixel < 0: 374 | label_annotate_arm_low_pixel = 0 375 | 376 | ax.annotate("{:.0f}".format(x_value), 377 | xy=(x_value_pixel, y_value_pixel + delta_point_annotate_line_pixel), 378 | xycoords='axes pixels', rotation=90, 379 | xytext=(label_x_pos, label_y_pos_pixel), 380 | textcoords='axes pixels', size=8, 381 | arrowprops=dict(arrowstyle="-", 382 | connectionstyle="arc,angleA=-90,armA=" + str(label_annotate_arm_high_pixel) + 383 | ",angleB= 90,armB=" + str(label_annotate_arm_low_pixel) + 384 | ",rad=0", linewidth=0.5, color='#808080'), 385 | horizontalalignment='center', verticalalignment='bottom') 386 | ax.annotate(label_text, 387 | xy=(x_value_pixel, y_value_pixel + delta_point_annotate_line_pixel), 388 | xycoords='axes pixels', rotation=90, 389 | xytext=(label_x_pos, label_y_pos_pixel + delta_label_mznumber_pixel), 390 | textcoords='axes pixels', size=8, 391 | horizontalalignment='center', verticalalignment='bottom' 392 | ) 393 | 394 | # remove top and right axis 395 | ax.spines['top'].set_visible(False) 396 | ax.spines['right'].set_visible(False) 397 | ax.get_xaxis().tick_bottom() 398 | ax.get_yaxis().tick_left() 399 | 400 | # label axes 401 | ax.set_xlabel(r"$m/z$") 402 | ax.set_ylabel(r"$Intensity\,[\%]$") 403 | 404 | # set x labels 405 | plt.xticks(rotation='vertical') 406 | start, end = ax.get_xlim() 407 | ax.xaxis.set_ticks(np.arange(start, end + 1, 25)) 408 | 409 | # set y labels 410 | ax.set_ylim(0, 100) 411 | start, end = ax.get_ylim() 412 | ax.yaxis.set_ticks(np.arange(start, end + 1, 10)) 413 | 414 | # set grid 415 | plt.grid(True, axis="y", color='black', linestyle=':', linewidth=0.1) 416 | 417 | plt.savefig(output_filename + "." + filetype, dpi=fig.dpi, format=filetype) 418 | plt.close() 419 | 420 | 421 | def generate_massspectra_plot_distance_peak_manual_annotation(input_filename, output_filename): 422 | print("Generate {0} mass spectra plot ({1}.{2}) from {3}.[xy/txt]".format(filetype.upper(), output_filename, 423 | filetype, input_filename)) 424 | 425 | # min and max value of the x axis 426 | min_xaxis = 100 427 | max_xaxis = 450 428 | 429 | # dimensions of the single plot 430 | figwidth_mm = 141 431 | left_margin_mm = 14 432 | right_margin_mm = 2 433 | top_margin_mm = 5 434 | bottom_margin_mm = 13 435 | 436 | plotwidth_mm = figwidth_mm - left_margin_mm - right_margin_mm 437 | plotheight_mm = plotwidth_mm * 0.8 438 | 439 | hspace_mm = 0.1 # horizontal space between two plots 440 | 441 | # read xy input data 442 | raw_values = pd.read_csv(input_filename + ".xy", sep=" ", names=["m/z", "intensity"], 443 | dtype={"m/z": np.float64, "intensity": np.float64}) 444 | # normalize input data 445 | max_val = np.max(raw_values['intensity']) 446 | raw_values["intensity_normalized"] = raw_values['intensity'] / max_val * 100.0 # normalize intensity to percent 447 | 448 | fsize, margins = __figsize_and_margins(plotsize=(__conv_inch(plotwidth_mm), __conv_inch(plotheight_mm)), 449 | subplots=(1, 1), 450 | left=__conv_inch(left_margin_mm), right=__conv_inch(right_margin_mm), 451 | top=__conv_inch(top_margin_mm), bottom=__conv_inch(bottom_margin_mm), 452 | wspace=0.01, hspace=__conv_inch(hspace_mm)) 453 | fig = plt.figure(figsize=fsize, ) 454 | plt.subplots_adjust(**margins) 455 | ax = fig.add_subplot(111) 456 | 457 | # plot spectra line 458 | ax.plot(raw_values["m/z"], raw_values["intensity_normalized"], color="black", linewidth=0.8) 459 | 460 | # set x axes range 461 | if min_xaxis is not None and max_xaxis is not None: 462 | ax.set_xlim([int(min_xaxis), int(max_xaxis)]) 463 | 464 | # annotations 465 | # length in data value (in %) 466 | annotate_point(403, 83, r'Peak II', raw_values) 467 | annotate_point(253, 83, r'Peak I', raw_values) 468 | 469 | annotate_distance(385, 403, 45, '$-18$', raw_values, rotate_text=90) 470 | annotate_distance(367, 385, 45, '$-18$', raw_values, rotate_text=90) 471 | annotate_distance(339, 367, 25, '$xy$', raw_values, rotate_text=90) 472 | annotate_distance(321, 349, 35, '$xy$', raw_values, rotate_text=90) 473 | annotate_distance(253, 349, 72, '$-96$', raw_values) 474 | 475 | # remove top and right axis 476 | ax.spines['top'].set_visible(False) 477 | ax.spines['right'].set_visible(False) 478 | ax.get_xaxis().tick_bottom() 479 | ax.get_yaxis().tick_left() 480 | 481 | # label axes 482 | ax.set_xlabel(r"$m/z$") 483 | ax.set_ylabel(r"$Intensity\,[\%]$") 484 | 485 | # set x labels 486 | plt.xticks(rotation='vertical') 487 | start, end = ax.get_xlim() 488 | ax.xaxis.set_ticks(np.arange(start, end + 1, 25)) 489 | 490 | # set y labels 491 | ax.set_ylim(0, 100) 492 | start, end = ax.get_ylim() 493 | ax.yaxis.set_ticks(np.arange(start, end + 1, 10)) 494 | 495 | # set grid 496 | plt.grid(True, axis="y", color='black', linestyle=':', linewidth=0.1) 497 | 498 | plt.savefig(output_filename + "." + filetype, dpi=fig.dpi, format=filetype) 499 | plt.close() 500 | 501 | 502 | def generate_massspectra_two_plot_manual_annotation(input_filename1, input_filename2, output_filename): 503 | print("Generate {0} mass spectra plot ({1}.{2}) from {3}.xy and {4}.xy".format(filetype.upper(), output_filename, 504 | filetype, input_filename1, 505 | input_filename2)) 506 | 507 | # min and max value of the x axis 508 | min_xaxis = 50 509 | max_xaxis = 475 510 | 511 | # labels 512 | label1 = "Substance 1" 513 | label2 = "Substance 2" 514 | 515 | # dimensions of the single plot 516 | figwidth_mm = 141 517 | left_margin_mm = 14 518 | right_margin_mm = 2 519 | top_margin_mm = 5 520 | bottom_margin_mm = 13 521 | 522 | plotwidth_mm = figwidth_mm - left_margin_mm - right_margin_mm 523 | plotheight_mm = plotwidth_mm * 0.8 524 | 525 | hspace_mm = 25 # horizontal space between two plots 526 | 527 | # read xy input data 528 | raw_values1 = pd.read_csv(input_filename1 + ".xy", sep=" ", names=["m/z", "intensity"], 529 | dtype={"m/z": np.float64, "intensity": np.float64}) 530 | # normalize input data 531 | max_val = np.max(raw_values1['intensity']) 532 | raw_values1["intensity_normalized"] = raw_values1['intensity'] / max_val * 100.0 # normalize intensity to percent 533 | 534 | # read xy input data 535 | raw_values2 = pd.read_csv(input_filename2 + ".xy", sep=" ", names=["m/z", "intensity"], 536 | dtype={"m/z": np.float64, "intensity": np.float64}) 537 | # normalize input data 538 | max_val = np.max(raw_values2['intensity']) 539 | raw_values2["intensity_normalized"] = raw_values2['intensity'] / max_val * 100.0 # normalize intensity to percent 540 | 541 | fsize, margins = __figsize_and_margins(plotsize=(__conv_inch(plotwidth_mm), __conv_inch(plotheight_mm)), 542 | subplots=(1, 1), 543 | left=__conv_inch(left_margin_mm), right=__conv_inch(right_margin_mm), 544 | top=__conv_inch(top_margin_mm), bottom=__conv_inch(bottom_margin_mm), 545 | wspace=0.01, hspace=__conv_inch(hspace_mm)) 546 | fig = plt.figure(figsize=fsize, ) 547 | plt.subplots_adjust(**margins) 548 | 549 | ax = fig.add_subplot(211) 550 | 551 | # plot spectra line 552 | plt1, = ax.plot(raw_values1["m/z"], raw_values1["intensity_normalized"], color="black", linewidth=0.8, label=label1) 553 | legend = plt.legend(handles=[plt1], loc=2) 554 | legend.get_frame().set_linewidth(0) 555 | 556 | # set x axes range 557 | if min_xaxis is not None and max_xaxis is not None: 558 | ax.set_xlim([int(min_xaxis), int(max_xaxis)]) 559 | 560 | # annotate plot1 561 | annotate_point(253, 60, r'Peak 1', raw_values1) 562 | annotate_distance(385, 403, 45, r'$-18$', raw_values1, rotate_text=90) 563 | annotate_distance(367, 385, 45, r'$-18$', raw_values1, rotate_text=90) 564 | annotate_distance(321, 349, 75, r'$xy$', raw_values1, rotate_text=0) 565 | annotate_point(403, 60, r'Peak 2', raw_values1) 566 | 567 | # remove top and right axis 568 | ax.spines['top'].set_visible(False) 569 | ax.spines['right'].set_visible(False) 570 | ax.get_xaxis().tick_bottom() 571 | ax.get_yaxis().tick_left() 572 | 573 | # label axes 574 | ax.set_ylabel(r"$Intensity\,[\%]$") 575 | 576 | # set x labels 577 | plt.xticks(rotation='vertical') 578 | start, end = ax.get_xlim() 579 | ax.xaxis.set_ticks(np.arange(start, end + 1, 25)) 580 | 581 | # set y labels 582 | ax.set_ylim(0, 100) 583 | start, end = ax.get_ylim() 584 | ax.yaxis.set_ticks(np.arange(start, end + 1, 10)) 585 | 586 | # set grid 587 | plt.grid(True, axis="y", color='black', linestyle=':', linewidth=0.1) 588 | 589 | # set x labels 590 | plt.xticks(rotation='vertical') 591 | start, end = ax.get_xlim() 592 | ax.xaxis.set_ticks(np.arange(start, end + 1, 25)) 593 | # set y labels 594 | ax.set_ylim(0, 100) 595 | start, end = ax.get_ylim() 596 | ax.yaxis.set_ticks(np.arange(start, end + 1, 10)) 597 | # set grid 598 | plt.grid(True, axis="y", color='black', linestyle=':', linewidth=0.1) 599 | 600 | # generate plot2 601 | ax = fig.add_subplot(212) 602 | 603 | plt2, = ax.plot(raw_values2["m/z"], raw_values2["intensity_normalized"], color="#606060", linewidth=0.8, 604 | label=label2) 605 | legend = plt.legend(handles=[plt2], loc=2) 606 | legend.get_frame().set_linewidth(0) 607 | 608 | # set x axes range 609 | if min_xaxis is not None and max_xaxis is not None: 610 | ax.set_xlim([int(min_xaxis), int(max_xaxis)]) 611 | 612 | # annotate 613 | annotate_point(253, 60, r'Peak I', raw_values2) 614 | annotate_point(189, 60, r'189', raw_values2) 615 | annotate_point(215, 60, r'215', raw_values2) 616 | annotate_distance(385, 445, 30, r'Multiple'"\n"r'line'"\n"'annotation', raw_values2) 617 | annotate_distance(367, 385, 45, r' -18', raw_values2, rotate_text=90) 618 | annotate_distance(349, 367, 45, r' -18', raw_values2, rotate_text=90) 619 | annotate_distance(321, 349, 75, r'xy', raw_values2, rotate_text=0) 620 | annotate_point(445, 60, r'Peak 2', raw_values2) 621 | 622 | # remove top and right axis 623 | ax.spines['top'].set_visible(False) 624 | ax.spines['right'].set_visible(False) 625 | ax.get_xaxis().tick_bottom() 626 | ax.get_yaxis().tick_left() 627 | 628 | # label axes 629 | ax.set_xlabel(r"$m/z$") 630 | ax.set_ylabel(r"$Intensity\,[\%]$") 631 | 632 | # set x labels 633 | plt.xticks(rotation='vertical') 634 | start, end = ax.get_xlim() 635 | ax.xaxis.set_ticks(np.arange(start, end + 1, 25)) 636 | 637 | # set y labels 638 | ax.set_ylim(0, 100) 639 | start, end = ax.get_ylim() 640 | ax.yaxis.set_ticks(np.arange(start, end + 1, 10)) 641 | 642 | # set grid 643 | plt.grid(True, axis="y", color='black', linestyle=':', linewidth=0.1) 644 | 645 | plt.savefig(output_filename + "." + filetype, dpi=fig.dpi, format=filetype) 646 | plt.close() 647 | 648 | 649 | if __name__ == "__main__": 650 | generate_massspectra_plot_automatic_labels("../examples/inputs/substance1", "../examples/ex1") 651 | 652 | generate_massspectra_plot_distance_peak_manual_annotation("../examples/inputs/substance2", "../examples/ex2") 653 | 654 | generate_massspectra_two_plot_manual_annotation("../examples/inputs/substance1", 655 | "../examples/inputs/substance2", "../examples/ex3") 656 | -------------------------------------------------------------------------------- /examples/inputs/substance1.xy: -------------------------------------------------------------------------------- 1 | 50.0 12 2 | 50.1 6 3 | 50.1 32 4 | 50.2 72 5 | 50.3 58 6 | 50.3 17 7 | 50.4 2 8 | 50.4 0 9 | 50.5 1 10 | 50.6 0 11 | 50.6 0 12 | 50.7 0 13 | 50.8 12 14 | 50.8 67 15 | 50.9 110 16 | 50.9 124 17 | 51.0 123 18 | 51.1 72 19 | 51.1 13 20 | 51.2 18 21 | 51.3 47 22 | 51.3 89 23 | 51.4 121 24 | 51.4 92 25 | 51.5 33 26 | 51.6 13 27 | 51.6 23 28 | 51.7 28 29 | 51.8 23 30 | 51.8 19 31 | 51.9 20 32 | 51.9 18 33 | 52.0 14 34 | 52.1 20 35 | 52.1 48 36 | 52.2 66 37 | 52.3 46 38 | 52.3 37 39 | 52.4 72 40 | 52.4 102 41 | 52.5 190 42 | 52.6 289 43 | 52.6 259 44 | 52.7 167 45 | 52.8 112 46 | 52.8 80 47 | 52.9 56 48 | 52.9 20 49 | 53.0 41 50 | 53.1 142 51 | 53.1 185 52 | 53.2 161 53 | 53.3 187 54 | 53.3 214 55 | 53.4 184 56 | 53.4 127 57 | 53.5 57 58 | 53.6 19 59 | 53.6 16 60 | 53.7 55 61 | 53.8 109 62 | 53.8 100 63 | 53.9 168 64 | 53.9 293 65 | 54.0 224 66 | 54.1 85 67 | 54.1 108 68 | 54.2 148 69 | 54.3 89 70 | 54.3 32 71 | 54.4 28 72 | 54.4 15 73 | 54.5 2 74 | 54.6 21 75 | 54.6 54 76 | 54.7 75 77 | 54.8 96 78 | 54.8 88 79 | 54.9 41 80 | 54.9 11 81 | 55.0 4 82 | 55.1 1 83 | 55.1 0 84 | 55.2 26 85 | 55.3 71 86 | 55.3 70 87 | 55.4 28 88 | 55.4 6 89 | 55.5 4 90 | 55.6 2 91 | 55.6 1 92 | 55.7 0 93 | 55.8 0 94 | 55.8 0 95 | 55.9 0 96 | 55.9 0 97 | 56.0 16 98 | 56.1 35 99 | 56.1 25 100 | 56.2 6 101 | 56.3 1 102 | 56.3 25 103 | 56.4 50 104 | 56.4 32 105 | 56.5 6 106 | 56.6 26 107 | 56.6 54 108 | 56.7 39 109 | 56.8 9 110 | 56.8 1 111 | 56.9 0 112 | 56.9 0 113 | 57.0 0 114 | 57.1 0 115 | 57.1 6 116 | 57.2 23 117 | 57.3 28 118 | 57.3 14 119 | 57.4 2 120 | 57.4 0 121 | 57.5 0 122 | 57.6 4 123 | 57.6 20 124 | 57.7 34 125 | 57.8 23 126 | 57.8 6 127 | 57.9 10 128 | 57.9 19 129 | 58.0 54 130 | 58.1 105 131 | 58.1 97 132 | 58.2 42 133 | 58.3 11 134 | 58.3 23 135 | 58.4 47 136 | 58.4 32 137 | 58.5 6 138 | 58.6 1 139 | 58.6 0 140 | 58.7 29 141 | 58.8 80 142 | 58.8 119 143 | 58.9 133 144 | 58.9 123 145 | 59.0 112 146 | 59.1 115 147 | 59.1 109 148 | 59.2 80 149 | 59.3 50 150 | 59.3 34 151 | 59.4 43 152 | 59.4 55 153 | 59.5 35 154 | 59.6 10 155 | 59.6 9 156 | 59.7 12 157 | 59.8 35 158 | 59.8 62 159 | 59.9 56 160 | 59.9 44 161 | 60.0 40 162 | 60.1 22 163 | 60.1 4 164 | 60.2 1 165 | 60.3 1 166 | 60.3 3 167 | 60.4 27 168 | 60.4 68 169 | 60.5 67 170 | 60.6 27 171 | 60.6 9 172 | 60.7 11 173 | 60.8 13 174 | 60.8 11 175 | 60.9 7 176 | 60.9 4 177 | 61.0 3 178 | 61.1 1 179 | 61.1 0 180 | 61.2 0 181 | 61.3 0 182 | 61.3 0 183 | 61.4 0 184 | 61.4 0 185 | 61.5 0 186 | 61.6 0 187 | 61.6 2 188 | 61.7 17 189 | 61.8 30 190 | 61.8 75 191 | 61.9 132 192 | 61.9 101 193 | 62.0 29 194 | 62.1 5 195 | 62.1 1 196 | 62.2 0 197 | 62.3 0 198 | 62.3 0 199 | 62.4 1 200 | 62.4 0 201 | 62.5 0 202 | 62.6 0 203 | 62.6 0 204 | 62.7 0 205 | 62.8 0 206 | 62.8 0 207 | 62.9 0 208 | 62.9 0 209 | 63.0 0 210 | 63.1 0 211 | 63.1 0 212 | 63.2 4 213 | 63.3 15 214 | 63.3 26 215 | 63.4 27 216 | 63.4 13 217 | 63.5 71 218 | 63.6 168 219 | 63.6 145 220 | 63.7 50 221 | 63.8 8 222 | 63.8 1 223 | 63.9 0 224 | 63.9 0 225 | 64.0 0 226 | 64.1 0 227 | 64.1 0 228 | 64.2 0 229 | 64.3 0 230 | 64.3 0 231 | 64.4 0 232 | 64.4 0 233 | 64.5 0 234 | 64.6 0 235 | 64.6 7 236 | 64.7 19 237 | 64.8 17 238 | 64.8 6 239 | 64.9 1 240 | 64.9 0 241 | 65.0 0 242 | 65.1 0 243 | 65.1 0 244 | 65.2 0 245 | 65.3 0 246 | 65.3 0 247 | 65.4 0 248 | 65.4 0 249 | 65.5 0 250 | 65.6 0 251 | 65.6 8 252 | 65.7 17 253 | 65.8 18 254 | 65.8 19 255 | 65.9 16 256 | 65.9 6 257 | 66.0 1 258 | 66.1 0 259 | 66.1 0 260 | 66.2 0 261 | 66.3 0 262 | 66.3 0 263 | 66.4 0 264 | 66.4 0 265 | 66.5 0 266 | 66.6 87 267 | 66.6 215 268 | 66.7 191 269 | 66.8 69 270 | 66.8 12 271 | 66.9 2 272 | 66.9 0 273 | 67.0 0 274 | 67.1 22 275 | 67.1 53 276 | 67.2 45 277 | 67.3 15 278 | 67.3 3 279 | 67.4 0 280 | 67.4 0 281 | 67.5 25 282 | 67.6 73 283 | 67.6 80 284 | 67.7 39 285 | 67.8 9 286 | 67.8 1 287 | 67.9 0 288 | 67.9 0 289 | 68.0 0 290 | 68.1 0 291 | 68.1 0 292 | 68.2 0 293 | 68.3 0 294 | 68.3 0 295 | 68.4 0 296 | 68.4 0 297 | 68.5 0 298 | 68.6 0 299 | 68.6 0 300 | 68.7 0 301 | 68.8 0 302 | 68.8 0 303 | 68.9 0 304 | 68.9 7 305 | 69.0 19 306 | 69.1 19 307 | 69.1 8 308 | 69.2 1 309 | 69.3 0 310 | 69.3 0 311 | 69.4 0 312 | 69.4 0 313 | 69.5 0 314 | 69.6 0 315 | 69.6 0 316 | 69.7 0 317 | 69.8 0 318 | 69.8 0 319 | 69.9 0 320 | 69.9 0 321 | 70.0 0 322 | 70.1 0 323 | 70.1 0 324 | 70.2 0 325 | 70.3 3 326 | 70.3 6 327 | 70.4 4 328 | 70.4 2 329 | 70.5 4 330 | 70.6 20 331 | 70.6 38 332 | 70.7 42 333 | 70.8 40 334 | 70.8 24 335 | 70.9 4 336 | 70.9 10 337 | 71.0 36 338 | 71.1 48 339 | 71.1 54 340 | 71.2 77 341 | 71.3 68 342 | 71.3 27 343 | 71.4 4 344 | 71.4 1 345 | 71.5 0 346 | 71.6 0 347 | 71.6 0 348 | 71.7 1 349 | 71.8 64 350 | 71.8 162 351 | 71.9 151 352 | 71.9 58 353 | 72.0 10 354 | 72.1 2 355 | 72.1 1 356 | 72.2 1 357 | 72.3 1 358 | 72.3 0 359 | 72.4 0 360 | 72.4 8 361 | 72.5 22 362 | 72.6 22 363 | 72.6 13 364 | 72.7 26 365 | 72.8 42 366 | 72.8 34 367 | 72.9 62 368 | 72.9 136 369 | 73.0 136 370 | 73.1 61 371 | 73.1 55 372 | 73.2 167 373 | 73.3 258 374 | 73.3 298 375 | 73.4 306 376 | 73.4 244 377 | 73.5 185 378 | 73.6 146 379 | 73.6 67 380 | 73.7 24 381 | 73.8 22 382 | 73.8 15 383 | 73.9 3 384 | 73.9 0 385 | 74.0 0 386 | 74.1 0 387 | 74.1 2 388 | 74.2 17 389 | 74.3 56 390 | 74.3 84 391 | 74.4 74 392 | 74.4 47 393 | 74.5 29 394 | 74.6 25 395 | 74.6 20 396 | 74.7 8 397 | 74.8 49 398 | 74.8 151 399 | 74.9 177 400 | 74.9 106 401 | 75.0 53 402 | 75.1 30 403 | 75.1 13 404 | 75.2 8 405 | 75.3 3 406 | 75.3 31 407 | 75.4 80 408 | 75.4 75 409 | 75.5 61 410 | 75.6 89 411 | 75.6 81 412 | 75.7 47 413 | 75.8 40 414 | 75.8 27 415 | 75.9 7 416 | 75.9 1 417 | 76.0 0 418 | 76.1 0 419 | 76.1 0 420 | 76.2 31 421 | 76.3 96 422 | 76.3 111 423 | 76.4 60 424 | 76.4 18 425 | 76.5 9 426 | 76.6 8 427 | 76.6 73 428 | 76.7 153 429 | 76.8 116 430 | 76.8 82 431 | 76.9 120 432 | 76.9 88 433 | 77.0 23 434 | 77.1 9 435 | 77.1 14 436 | 77.2 12 437 | 77.3 5 438 | 77.3 2 439 | 77.4 3 440 | 77.4 2 441 | 77.5 0 442 | 77.6 0 443 | 77.6 0 444 | 77.7 0 445 | 77.8 0 446 | 77.8 0 447 | 77.9 0 448 | 77.9 0 449 | 78.0 38 450 | 78.1 92 451 | 78.1 86 452 | 78.2 39 453 | 78.3 12 454 | 78.3 2 455 | 78.4 0 456 | 78.4 0 457 | 78.5 24 458 | 78.6 66 459 | 78.6 77 460 | 78.7 47 461 | 78.8 17 462 | 78.8 3 463 | 78.9 29 464 | 78.9 83 465 | 79.0 108 466 | 79.1 85 467 | 79.1 43 468 | 79.2 16 469 | 79.3 37 470 | 79.3 96 471 | 79.4 110 472 | 79.4 55 473 | 79.5 10 474 | 79.6 1 475 | 79.6 2 476 | 79.7 41 477 | 79.8 151 478 | 79.8 206 479 | 79.9 117 480 | 79.9 25 481 | 80.0 38 482 | 80.1 106 483 | 80.1 127 484 | 80.2 100 485 | 80.3 122 486 | 80.3 157 487 | 80.4 123 488 | 80.4 51 489 | 80.5 8 490 | 80.6 1 491 | 80.6 36 492 | 80.7 97 493 | 80.8 98 494 | 80.8 45 495 | 80.9 70 496 | 80.9 141 497 | 81.0 120 498 | 81.1 51 499 | 81.1 19 500 | 81.2 7 501 | 81.3 6 502 | 81.3 5 503 | 81.4 77 504 | 81.4 164 505 | 81.5 119 506 | 81.6 28 507 | 81.6 12 508 | 81.7 15 509 | 81.8 10 510 | 81.8 29 511 | 81.9 56 512 | 81.9 37 513 | 82.0 6 514 | 82.1 1 515 | 82.1 0 516 | 82.2 0 517 | 82.3 3 518 | 82.3 7 519 | 82.4 5 520 | 82.4 24 521 | 82.5 57 522 | 82.6 50 523 | 82.6 18 524 | 82.7 3 525 | 82.8 0 526 | 82.8 0 527 | 82.9 0 528 | 82.9 0 529 | 83.0 1 530 | 83.1 2 531 | 83.1 1 532 | 83.2 0 533 | 83.3 0 534 | 83.3 13 535 | 83.4 40 536 | 83.4 44 537 | 83.5 20 538 | 83.6 3 539 | 83.6 10 540 | 83.7 26 541 | 83.8 24 542 | 83.8 12 543 | 83.9 23 544 | 83.9 36 545 | 84.0 53 546 | 84.1 70 547 | 84.1 105 548 | 84.2 162 549 | 84.3 148 550 | 84.3 67 551 | 84.4 37 552 | 84.4 33 553 | 84.5 15 554 | 84.6 2 555 | 84.6 0 556 | 84.7 1 557 | 84.8 6 558 | 84.8 14 559 | 84.9 19 560 | 84.9 16 561 | 85.0 7 562 | 85.1 18 563 | 85.1 39 564 | 85.2 30 565 | 85.3 11 566 | 85.3 6 567 | 85.4 4 568 | 85.4 1 569 | 85.5 0 570 | 85.6 0 571 | 85.6 1 572 | 85.7 4 573 | 85.8 4 574 | 85.8 6 575 | 85.9 17 576 | 85.9 21 577 | 86.0 10 578 | 86.1 1 579 | 86.1 0 580 | 86.2 2 581 | 86.3 5 582 | 86.3 4 583 | 86.4 22 584 | 86.4 54 585 | 86.5 51 586 | 86.6 20 587 | 86.6 2 588 | 86.7 0 589 | 86.8 3 590 | 86.8 8 591 | 86.9 10 592 | 86.9 8 593 | 87.0 4 594 | 87.1 11 595 | 87.1 32 596 | 87.2 38 597 | 87.3 64 598 | 87.3 99 599 | 87.4 66 600 | 87.4 14 601 | 87.5 2 602 | 87.6 0 603 | 87.6 17 604 | 87.7 67 605 | 87.8 115 606 | 87.8 110 607 | 87.9 155 608 | 87.9 223 609 | 88.0 208 610 | 88.1 168 611 | 88.1 234 612 | 88.2 352 613 | 88.3 323 614 | 88.3 242 615 | 88.4 259 616 | 88.4 213 617 | 88.5 324 618 | 88.6 582 619 | 88.6 541 620 | 88.7 317 621 | 88.8 250 622 | 88.8 250 623 | 88.9 216 624 | 88.9 256 625 | 89.0 317 626 | 89.1 245 627 | 89.1 206 628 | 89.2 293 629 | 89.3 581 630 | 89.3 786 631 | 89.4 540 632 | 89.4 216 633 | 89.5 117 634 | 89.6 78 635 | 89.6 96 636 | 89.7 103 637 | 89.8 102 638 | 89.8 120 639 | 89.9 149 640 | 89.9 164 641 | 90.0 119 642 | 90.1 50 643 | 90.1 113 644 | 90.2 268 645 | 90.3 318 646 | 90.3 236 647 | 90.4 217 648 | 90.4 256 649 | 90.5 235 650 | 90.6 156 651 | 90.6 101 652 | 90.7 83 653 | 90.8 63 654 | 90.8 30 655 | 90.9 48 656 | 90.9 92 657 | 91.0 104 658 | 91.1 146 659 | 91.1 213 660 | 91.2 168 661 | 91.3 59 662 | 91.3 171 663 | 91.4 390 664 | 91.4 340 665 | 91.5 129 666 | 91.6 61 667 | 91.6 161 668 | 91.7 321 669 | 91.8 432 670 | 91.8 475 671 | 91.9 375 672 | 91.9 167 673 | 92.0 142 674 | 92.1 273 675 | 92.1 306 676 | 92.2 260 677 | 92.3 192 678 | 92.3 81 679 | 92.4 14 680 | 92.4 5 681 | 92.5 8 682 | 92.6 8 683 | 92.6 3 684 | 92.7 130 685 | 92.8 279 686 | 92.8 205 687 | 92.9 59 688 | 92.9 17 689 | 93.0 2 690 | 93.1 30 691 | 93.1 72 692 | 93.2 253 693 | 93.3 483 694 | 93.3 409 695 | 93.4 202 696 | 93.4 202 697 | 93.5 276 698 | 93.6 256 699 | 93.6 173 700 | 93.7 121 701 | 93.8 104 702 | 93.8 118 703 | 93.9 176 704 | 93.9 180 705 | 94.0 118 706 | 94.1 111 707 | 94.1 144 708 | 94.2 141 709 | 94.3 184 710 | 94.3 259 711 | 94.4 231 712 | 94.4 234 713 | 94.5 346 714 | 94.6 335 715 | 94.6 193 716 | 94.7 92 717 | 94.8 64 718 | 94.8 126 719 | 94.9 165 720 | 94.9 169 721 | 95.0 213 722 | 95.1 238 723 | 95.1 227 724 | 95.2 187 725 | 95.3 126 726 | 95.3 102 727 | 95.4 70 728 | 95.4 23 729 | 95.5 23 730 | 95.6 41 731 | 95.6 28 732 | 95.7 31 733 | 95.8 63 734 | 95.8 58 735 | 95.9 32 736 | 95.9 18 737 | 96.0 7 738 | 96.1 1 739 | 96.1 13 740 | 96.2 58 741 | 96.3 103 742 | 96.3 91 743 | 96.4 43 744 | 96.4 32 745 | 96.5 100 746 | 96.6 164 747 | 96.6 211 748 | 96.7 309 749 | 96.8 385 750 | 96.8 327 751 | 96.9 273 752 | 96.9 305 753 | 97.0 302 754 | 97.1 310 755 | 97.1 334 756 | 97.2 206 757 | 97.3 152 758 | 97.3 281 759 | 97.4 316 760 | 97.4 197 761 | 97.5 81 762 | 97.6 63 763 | 97.6 88 764 | 97.7 73 765 | 97.8 51 766 | 97.8 43 767 | 97.9 31 768 | 97.9 21 769 | 98.0 46 770 | 98.1 92 771 | 98.1 99 772 | 98.2 81 773 | 98.3 95 774 | 98.3 108 775 | 98.4 68 776 | 98.4 22 777 | 98.5 124 778 | 98.6 252 779 | 98.6 200 780 | 98.7 106 781 | 98.8 196 782 | 98.8 292 783 | 98.9 197 784 | 98.9 51 785 | 99.0 10 786 | 99.1 6 787 | 99.1 23 788 | 99.2 48 789 | 99.3 45 790 | 99.3 37 791 | 99.4 48 792 | 99.4 103 793 | 99.5 190 794 | 99.6 185 795 | 99.6 84 796 | 99.7 25 797 | 99.8 15 798 | 99.8 9 799 | 99.9 1 800 | 99.9 0 801 | 100.0 0 802 | 100.1 4 803 | 100.1 17 804 | 100.2 25 805 | 100.3 45 806 | 100.3 90 807 | 100.4 91 808 | 100.4 39 809 | 100.5 7 810 | 100.6 1 811 | 100.6 0 812 | 100.7 0 813 | 100.8 0 814 | 100.8 20 815 | 100.9 49 816 | 100.9 72 817 | 101.0 74 818 | 101.1 140 819 | 101.1 243 820 | 101.2 204 821 | 101.3 100 822 | 101.3 91 823 | 101.4 108 824 | 101.4 205 825 | 101.5 492 826 | 101.6 668 827 | 101.6 535 828 | 101.7 362 829 | 101.8 278 830 | 101.8 212 831 | 101.9 146 832 | 101.9 107 833 | 102.0 121 834 | 102.1 93 835 | 102.1 97 836 | 102.2 181 837 | 102.3 184 838 | 102.3 99 839 | 102.4 33 840 | 102.4 13 841 | 102.5 24 842 | 102.6 33 843 | 102.6 46 844 | 102.7 54 845 | 102.8 49 846 | 102.8 96 847 | 102.9 139 848 | 102.9 112 849 | 103.0 128 850 | 103.1 218 851 | 103.1 272 852 | 103.2 288 853 | 103.3 261 854 | 103.3 159 855 | 103.4 53 856 | 103.4 17 857 | 103.5 10 858 | 103.6 5 859 | 103.6 2 860 | 103.7 9 861 | 103.8 42 862 | 103.8 78 863 | 103.9 75 864 | 103.9 69 865 | 104.0 73 866 | 104.1 47 867 | 104.1 12 868 | 104.2 72 869 | 104.3 164 870 | 104.3 136 871 | 104.4 61 872 | 104.4 61 873 | 104.5 65 874 | 104.6 36 875 | 104.6 60 876 | 104.7 179 877 | 104.8 262 878 | 104.8 214 879 | 104.9 135 880 | 104.9 91 881 | 105.0 43 882 | 105.1 46 883 | 105.1 98 884 | 105.2 140 885 | 105.3 177 886 | 105.3 222 887 | 105.4 331 888 | 105.4 401 889 | 105.5 324 890 | 105.6 235 891 | 105.6 160 892 | 105.7 65 893 | 105.8 16 894 | 105.8 6 895 | 105.9 2 896 | 105.9 1 897 | 106.0 0 898 | 106.1 5 899 | 106.1 14 900 | 106.2 19 901 | 106.3 19 902 | 106.3 12 903 | 106.4 3 904 | 106.4 0 905 | 106.5 0 906 | 106.6 2 907 | 106.6 6 908 | 106.7 6 909 | 106.8 2 910 | 106.8 0 911 | 106.9 0 912 | 106.9 1 913 | 107.0 10 914 | 107.1 72 915 | 107.1 275 916 | 107.2 969 917 | 107.3 2094 918 | 107.3 2616 919 | 107.4 2144 920 | 107.4 1392 921 | 107.5 857 922 | 107.6 598 923 | 107.6 458 924 | 107.7 365 925 | 107.8 374 926 | 107.8 368 927 | 107.9 263 928 | 107.9 115 929 | 108.0 22 930 | 108.1 4 931 | 108.1 28 932 | 108.2 59 933 | 108.3 42 934 | 108.3 33 935 | 108.4 62 936 | 108.4 57 937 | 108.5 25 938 | 108.6 15 939 | 108.6 13 940 | 108.7 6 941 | 108.8 1 942 | 108.8 0 943 | 108.9 2 944 | 108.9 5 945 | 109.0 5 946 | 109.1 16 947 | 109.1 88 948 | 109.2 141 949 | 109.3 90 950 | 109.3 29 951 | 109.4 14 952 | 109.4 5 953 | 109.5 13 954 | 109.6 72 955 | 109.6 177 956 | 109.7 233 957 | 109.8 232 958 | 109.8 197 959 | 109.9 125 960 | 109.9 78 961 | 110.0 99 962 | 110.1 217 963 | 110.1 424 964 | 110.2 484 965 | 110.3 424 966 | 110.3 408 967 | 110.4 328 968 | 110.4 222 969 | 110.5 223 970 | 110.6 212 971 | 110.6 150 972 | 110.7 136 973 | 110.8 161 974 | 110.8 172 975 | 110.9 350 976 | 110.9 873 977 | 111.0 1836 978 | 111.1 2930 979 | 111.1 3273 980 | 111.2 2452 981 | 111.3 1276 982 | 111.3 550 983 | 111.4 239 984 | 111.4 105 985 | 111.5 96 986 | 111.6 90 987 | 111.6 57 988 | 111.7 27 989 | 111.8 258 990 | 111.8 537 991 | 111.9 446 992 | 111.9 218 993 | 112.0 170 994 | 112.1 209 995 | 112.1 261 996 | 112.2 243 997 | 112.3 158 998 | 112.3 57 999 | 112.4 48 1000 | 112.4 139 1001 | 112.5 218 1002 | 112.6 180 1003 | 112.6 132 1004 | 112.7 178 1005 | 112.8 200 1006 | 112.8 168 1007 | 112.9 238 1008 | 112.9 1009 1009 | 113.0 2408 1010 | 113.1 2945 1011 | 113.1 2333 1012 | 113.2 1652 1013 | 113.3 1016 1014 | 113.3 524 1015 | 113.4 382 1016 | 113.4 254 1017 | 113.5 172 1018 | 113.6 322 1019 | 113.6 405 1020 | 113.7 279 1021 | 113.8 146 1022 | 113.8 129 1023 | 113.9 222 1024 | 113.9 703 1025 | 114.0 1714 1026 | 114.1 2665 1027 | 114.1 2902 1028 | 114.2 2324 1029 | 114.3 1545 1030 | 114.3 1218 1031 | 114.4 1171 1032 | 114.4 1216 1033 | 114.5 1695 1034 | 114.6 2289 1035 | 114.6 2656 1036 | 114.7 3154 1037 | 114.8 3596 1038 | 114.8 4441 1039 | 114.9 10457 1040 | 114.9 32418 1041 | 115.0 70851 1042 | 115.1 98330 1043 | 115.1 89493 1044 | 115.2 56567 1045 | 115.3 27028 1046 | 115.3 11187 1047 | 115.4 4674 1048 | 115.4 2061 1049 | 115.5 1174 1050 | 115.6 976 1051 | 115.6 738 1052 | 115.7 456 1053 | 115.8 323 1054 | 115.8 508 1055 | 115.9 1250 1056 | 115.9 3659 1057 | 116.0 8566 1058 | 116.1 12562 1059 | 116.1 11431 1060 | 116.2 7108 1061 | 116.3 3666 1062 | 116.3 1894 1063 | 116.4 1513 1064 | 116.4 2265 1065 | 116.5 3170 1066 | 116.6 3604 1067 | 116.6 3819 1068 | 116.7 4113 1069 | 116.8 4324 1070 | 116.8 5295 1071 | 116.9 12370 1072 | 116.9 37907 1073 | 117.0 88277 1074 | 117.1 134363 1075 | 117.1 133807 1076 | 117.2 91332 1077 | 117.3 46210 1078 | 117.3 19364 1079 | 117.4 8051 1080 | 117.4 3785 1081 | 117.5 1821 1082 | 117.6 933 1083 | 117.6 537 1084 | 117.7 374 1085 | 117.8 253 1086 | 117.8 163 1087 | 117.9 341 1088 | 117.9 1175 1089 | 118.0 2819 1090 | 118.1 4517 1091 | 118.1 4612 1092 | 118.2 3014 1093 | 118.3 1646 1094 | 118.3 1438 1095 | 118.4 1717 1096 | 118.4 1995 1097 | 118.5 2345 1098 | 118.6 3210 1099 | 118.6 4839 1100 | 118.7 6151 1101 | 118.8 6579 1102 | 118.8 8485 1103 | 118.9 17734 1104 | 118.9 50109 1105 | 119.0 119738 1106 | 119.1 194382 1107 | 119.1 207974 1108 | 119.2 150455 1109 | 119.3 78506 1110 | 119.3 33402 1111 | 119.4 13312 1112 | 119.4 5370 1113 | 119.5 2298 1114 | 119.6 1042 1115 | 119.6 403 1116 | 119.7 255 1117 | 119.8 393 1118 | 119.8 609 1119 | 119.9 1194 1120 | 119.9 2281 1121 | 120.0 3635 1122 | 120.1 4966 1123 | 120.1 5249 1124 | 120.2 3899 1125 | 120.3 2208 1126 | 120.3 1482 1127 | 120.4 1536 1128 | 120.4 1848 1129 | 120.5 2353 1130 | 120.6 3069 1131 | 120.6 3798 1132 | 120.7 4375 1133 | 120.8 4924 1134 | 120.8 6511 1135 | 120.9 14529 1136 | 120.9 42278 1137 | 121.0 100416 1138 | 121.1 160296 1139 | 121.1 168102 1140 | 121.2 119500 1141 | 121.3 61248 1142 | 121.3 25089 1143 | 121.4 9845 1144 | 121.4 4279 1145 | 121.5 2080 1146 | 121.6 1193 1147 | 121.6 774 1148 | 121.7 467 1149 | 121.8 317 1150 | 121.8 362 1151 | 121.9 560 1152 | 121.9 1003 1153 | 122.0 2110 1154 | 122.1 3823 1155 | 122.1 4726 1156 | 122.2 3944 1157 | 122.3 2459 1158 | 122.3 1297 1159 | 122.4 816 1160 | 122.4 952 1161 | 122.5 1400 1162 | 122.6 1713 1163 | 122.6 1731 1164 | 122.7 1856 1165 | 122.8 2302 1166 | 122.8 4012 1167 | 122.9 10892 1168 | 122.9 28363 1169 | 123.0 55671 1170 | 123.1 76685 1171 | 123.1 72594 1172 | 123.2 48460 1173 | 123.3 24556 1174 | 123.3 10123 1175 | 123.4 3437 1176 | 123.4 1072 1177 | 123.5 312 1178 | 123.6 110 1179 | 123.6 114 1180 | 123.7 108 1181 | 123.8 58 1182 | 123.8 23 1183 | 123.9 179 1184 | 123.9 760 1185 | 124.0 1608 1186 | 124.1 2128 1187 | 124.1 1912 1188 | 124.2 1214 1189 | 124.3 584 1190 | 124.3 310 1191 | 124.4 260 1192 | 124.4 210 1193 | 124.5 175 1194 | 124.6 259 1195 | 124.6 424 1196 | 124.7 514 1197 | 124.8 453 1198 | 124.8 467 1199 | 124.9 916 1200 | 124.9 2409 1201 | 125.0 5422 1202 | 125.1 8108 1203 | 125.1 7432 1204 | 125.2 4156 1205 | 125.3 1596 1206 | 125.3 604 1207 | 125.4 264 1208 | 125.4 116 1209 | 125.5 41 1210 | 125.6 10 1211 | 125.6 3 1212 | 125.7 20 1213 | 125.8 60 1214 | 125.8 139 1215 | 125.9 371 1216 | 125.9 935 1217 | 126.0 1738 1218 | 126.1 2105 1219 | 126.1 1711 1220 | 126.2 1065 1221 | 126.3 561 1222 | 126.3 273 1223 | 126.4 200 1224 | 126.4 217 1225 | 126.5 245 1226 | 126.6 339 1227 | 126.6 623 1228 | 126.7 975 1229 | 126.8 1061 1230 | 126.8 1221 1231 | 126.9 2913 1232 | 126.9 7491 1233 | 127.0 12742 1234 | 127.1 13981 1235 | 127.1 10726 1236 | 127.2 6464 1237 | 127.3 3363 1238 | 127.3 1980 1239 | 127.4 1954 1240 | 127.4 2413 1241 | 127.5 3093 1242 | 127.6 4106 1243 | 127.6 4735 1244 | 127.7 4532 1245 | 127.8 5557 1246 | 127.8 11185 1247 | 127.9 31495 1248 | 127.9 82991 1249 | 128.0 152331 1250 | 128.1 185212 1251 | 128.1 151193 1252 | 128.2 85770 1253 | 128.3 37385 1254 | 128.3 15235 1255 | 128.4 6991 1256 | 128.4 4665 1257 | 128.5 4309 1258 | 128.6 4194 1259 | 128.6 3886 1260 | 128.7 3886 1261 | 128.8 4963 1262 | 128.8 9151 1263 | 128.9 26246 1264 | 128.9 73458 1265 | 129.0 142772 1266 | 129.1 180469 1267 | 129.1 150528 1268 | 129.2 87453 1269 | 129.3 39476 1270 | 129.3 15862 1271 | 129.4 6294 1272 | 129.4 2818 1273 | 129.5 1456 1274 | 129.6 945 1275 | 129.6 703 1276 | 129.7 589 1277 | 129.8 617 1278 | 129.8 905 1279 | 129.9 2752 1280 | 129.9 9217 1281 | 130.0 19882 1282 | 130.1 26186 1283 | 130.1 22526 1284 | 130.2 14197 1285 | 130.3 7350 1286 | 130.3 3546 1287 | 130.4 2678 1288 | 130.4 3895 1289 | 130.5 5781 1290 | 130.6 7141 1291 | 130.6 8038 1292 | 130.7 8816 1293 | 130.8 9962 1294 | 130.8 16391 1295 | 130.9 45627 1296 | 130.9 129384 1297 | 131.0 267610 1298 | 131.1 367378 1299 | 131.1 333558 1300 | 131.2 208167 1301 | 131.3 97869 1302 | 131.3 39663 1303 | 131.4 15391 1304 | 131.4 6104 1305 | 131.5 2810 1306 | 131.6 1657 1307 | 131.6 1138 1308 | 131.7 753 1309 | 131.8 597 1310 | 131.8 916 1311 | 131.9 2231 1312 | 131.9 5596 1313 | 132.0 9911 1314 | 132.1 12719 1315 | 132.1 12194 1316 | 132.2 8628 1317 | 132.3 4790 1318 | 132.3 2675 1319 | 132.4 2240 1320 | 132.4 3143 1321 | 132.5 4149 1322 | 132.6 4545 1323 | 132.6 4865 1324 | 132.7 5640 1325 | 132.8 7419 1326 | 132.8 12783 1327 | 132.9 33873 1328 | 132.9 92181 1329 | 133.0 190691 1330 | 133.1 270083 1331 | 133.1 255340 1332 | 133.2 163967 1333 | 133.3 77167 1334 | 133.3 30502 1335 | 133.4 11565 1336 | 133.4 4738 1337 | 133.5 2408 1338 | 133.6 1588 1339 | 133.6 1115 1340 | 133.7 605 1341 | 133.8 436 1342 | 133.8 631 1343 | 133.9 1379 1344 | 133.9 3057 1345 | 134.0 5128 1346 | 134.1 6637 1347 | 134.1 6739 1348 | 134.2 5267 1349 | 134.3 3235 1350 | 134.3 1840 1351 | 134.4 1670 1352 | 134.4 2425 1353 | 134.5 3207 1354 | 134.6 3643 1355 | 134.6 3973 1356 | 134.7 4606 1357 | 134.8 6202 1358 | 134.8 10157 1359 | 134.9 25724 1360 | 134.9 72248 1361 | 135.0 156229 1362 | 135.1 233680 1363 | 135.1 235498 1364 | 135.2 161098 1365 | 135.3 79070 1366 | 135.3 31491 1367 | 135.4 11689 1368 | 135.4 4532 1369 | 135.5 2140 1370 | 135.6 1361 1371 | 135.6 899 1372 | 135.7 551 1373 | 135.8 413 1374 | 135.8 513 1375 | 135.9 944 1376 | 135.9 2465 1377 | 136.0 5159 1378 | 136.1 7213 1379 | 136.1 6975 1380 | 136.2 4920 1381 | 136.3 2797 1382 | 136.3 1726 1383 | 136.4 1769 1384 | 136.4 2185 1385 | 136.5 2253 1386 | 136.6 2492 1387 | 136.6 3273 1388 | 136.7 4567 1389 | 136.8 7549 1390 | 136.8 13773 1391 | 136.9 29797 1392 | 136.9 64449 1393 | 137.0 107010 1394 | 137.1 122073 1395 | 137.1 93718 1396 | 137.2 50198 1397 | 137.3 21299 1398 | 137.3 8423 1399 | 137.4 3451 1400 | 137.4 1656 1401 | 137.5 1054 1402 | 137.6 810 1403 | 137.6 559 1404 | 137.7 478 1405 | 137.8 521 1406 | 137.8 515 1407 | 137.9 654 1408 | 137.9 1264 1409 | 138.0 2357 1410 | 138.1 3020 1411 | 138.1 2486 1412 | 138.2 1475 1413 | 138.3 878 1414 | 138.3 642 1415 | 138.4 600 1416 | 138.4 810 1417 | 138.5 940 1418 | 138.6 767 1419 | 138.6 576 1420 | 138.7 541 1421 | 138.8 762 1422 | 138.8 1882 1423 | 138.9 6005 1424 | 138.9 14838 1425 | 139.0 24862 1426 | 139.1 27725 1427 | 139.1 21074 1428 | 139.2 11707 1429 | 139.3 5312 1430 | 139.3 2167 1431 | 139.4 1022 1432 | 139.4 596 1433 | 139.5 327 1434 | 139.6 142 1435 | 139.6 56 1436 | 139.7 22 1437 | 139.8 38 1438 | 139.8 98 1439 | 139.9 368 1440 | 139.9 745 1441 | 140.0 940 1442 | 140.1 977 1443 | 140.1 880 1444 | 140.2 664 1445 | 140.3 548 1446 | 140.3 637 1447 | 140.4 819 1448 | 140.4 1044 1449 | 140.5 1484 1450 | 140.6 1884 1451 | 140.6 2063 1452 | 140.7 2391 1453 | 140.8 4046 1454 | 140.8 9985 1455 | 140.9 29913 1456 | 140.9 74193 1457 | 141.0 126177 1458 | 141.1 141315 1459 | 141.1 104960 1460 | 141.2 53872 1461 | 141.3 21440 1462 | 141.3 8136 1463 | 141.4 3887 1464 | 141.4 2351 1465 | 141.5 1679 1466 | 141.6 1545 1467 | 141.6 1536 1468 | 141.7 1813 1469 | 141.8 2625 1470 | 141.8 5458 1471 | 141.9 16695 1472 | 141.9 43272 1473 | 142.0 75511 1474 | 142.1 86697 1475 | 142.1 66773 1476 | 142.2 36242 1477 | 142.3 15524 1478 | 142.3 6464 1479 | 142.4 3849 1480 | 142.4 3657 1481 | 142.5 3930 1482 | 142.6 4473 1483 | 142.6 5441 1484 | 142.7 7133 1485 | 142.8 10935 1486 | 142.8 22466 1487 | 142.9 64233 1488 | 142.9 170880 1489 | 143.0 313712 1490 | 143.1 373739 1491 | 143.1 294329 1492 | 143.2 161696 1493 | 143.3 68589 1494 | 143.3 25838 1495 | 143.4 9980 1496 | 143.4 4557 1497 | 143.5 2715 1498 | 143.6 1692 1499 | 143.6 1171 1500 | 143.7 1283 1501 | 143.8 1766 1502 | 143.8 2951 1503 | 143.9 6920 1504 | 143.9 16523 1505 | 144.0 28955 1506 | 144.1 34071 1507 | 144.1 27345 1508 | 144.2 15832 1509 | 144.3 7448 1510 | 144.3 3829 1511 | 144.4 3298 1512 | 144.4 4093 1513 | 144.5 5383 1514 | 144.6 7010 1515 | 144.6 8460 1516 | 144.7 10942 1517 | 144.8 17365 1518 | 144.8 34663 1519 | 144.9 91445 1520 | 144.9 238032 1521 | 145.0 452944 1522 | 145.1 570499 1523 | 145.1 474564 1524 | 145.2 272259 1525 | 145.3 118980 1526 | 145.3 45811 1527 | 145.4 18125 1528 | 145.4 8062 1529 | 145.5 3985 1530 | 145.6 2060 1531 | 145.6 1146 1532 | 145.7 933 1533 | 145.8 1339 1534 | 145.8 2018 1535 | 145.9 4057 1536 | 145.9 9088 1537 | 146.0 16482 1538 | 146.1 20402 1539 | 146.1 16747 1540 | 146.2 10006 1541 | 146.3 5188 1542 | 146.3 3090 1543 | 146.4 2903 1544 | 146.4 3342 1545 | 146.5 4061 1546 | 146.6 4905 1547 | 146.6 5804 1548 | 146.7 7284 1549 | 146.8 11549 1550 | 146.8 26005 1551 | 146.9 72652 1552 | 146.9 184914 1553 | 147.0 340552 1554 | 147.1 422811 1555 | 147.1 354762 1556 | 147.2 208773 1557 | 147.3 93238 1558 | 147.3 35912 1559 | 147.4 13812 1560 | 147.4 5685 1561 | 147.5 2516 1562 | 147.6 1495 1563 | 147.6 1176 1564 | 147.7 1138 1565 | 147.8 1232 1566 | 147.8 1393 1567 | 147.9 2238 1568 | 147.9 4538 1569 | 148.0 7910 1570 | 148.1 10401 1571 | 148.1 9612 1572 | 148.2 6000 1573 | 148.3 2664 1574 | 148.3 1273 1575 | 148.4 1192 1576 | 148.4 1460 1577 | 148.5 1539 1578 | 148.6 1751 1579 | 148.6 2362 1580 | 148.7 3692 1581 | 148.8 6660 1582 | 148.8 14055 1583 | 148.9 34193 1584 | 148.9 79730 1585 | 149.0 143823 1586 | 149.1 182450 1587 | 149.1 160413 1588 | 149.2 100046 1589 | 149.3 46633 1590 | 149.3 17726 1591 | 149.4 6297 1592 | 149.4 2537 1593 | 149.5 1340 1594 | 149.6 956 1595 | 149.6 822 1596 | 149.7 533 1597 | 149.8 319 1598 | 149.8 738 1599 | 149.9 1525 1600 | 149.9 2625 1601 | 150.0 4152 1602 | 150.1 5167 1603 | 150.1 4450 1604 | 150.2 2599 1605 | 150.3 1126 1606 | 150.3 596 1607 | 150.4 612 1608 | 150.4 798 1609 | 150.5 914 1610 | 150.6 1028 1611 | 150.6 1082 1612 | 150.7 1141 1613 | 150.8 2042 1614 | 150.8 4792 1615 | 150.9 12570 1616 | 150.9 27599 1617 | 151.0 41927 1618 | 151.1 42654 1619 | 151.1 29798 1620 | 151.2 15368 1621 | 151.3 6748 1622 | 151.3 2717 1623 | 151.4 1134 1624 | 151.4 824 1625 | 151.5 743 1626 | 151.6 448 1627 | 151.6 196 1628 | 151.7 344 1629 | 151.8 1103 1630 | 151.8 2536 1631 | 151.9 5826 1632 | 151.9 12140 1633 | 152.0 17855 1634 | 152.1 17267 1635 | 152.1 11113 1636 | 152.2 5115 1637 | 152.3 2038 1638 | 152.3 903 1639 | 152.4 573 1640 | 152.4 669 1641 | 152.5 984 1642 | 152.6 1371 1643 | 152.6 1679 1644 | 152.7 2108 1645 | 152.8 3777 1646 | 152.8 9432 1647 | 152.9 23816 1648 | 152.9 49477 1649 | 153.0 71742 1650 | 153.1 68268 1651 | 153.1 42974 1652 | 153.2 19311 1653 | 153.3 7244 1654 | 153.3 2678 1655 | 153.4 1187 1656 | 153.4 930 1657 | 153.5 752 1658 | 153.6 412 1659 | 153.6 355 1660 | 153.7 621 1661 | 153.8 1013 1662 | 153.8 2062 1663 | 153.9 6287 1664 | 153.9 16086 1665 | 154.0 27005 1666 | 154.1 28541 1667 | 154.1 19270 1668 | 154.2 9113 1669 | 154.3 4010 1670 | 154.3 2360 1671 | 154.4 2192 1672 | 154.4 2302 1673 | 154.5 2145 1674 | 154.6 2164 1675 | 154.6 2866 1676 | 154.7 4110 1677 | 154.8 6943 1678 | 154.8 18275 1679 | 154.9 54273 1680 | 154.9 130813 1681 | 155.0 211314 1682 | 155.1 221399 1683 | 155.1 155638 1684 | 155.2 78687 1685 | 155.3 31273 1686 | 155.3 11193 1687 | 155.4 4266 1688 | 155.4 2147 1689 | 155.5 1566 1690 | 155.6 1192 1691 | 155.6 867 1692 | 155.7 856 1693 | 155.8 1160 1694 | 155.8 2285 1695 | 155.9 6247 1696 | 155.9 15244 1697 | 156.0 25850 1698 | 156.1 29104 1699 | 156.1 21989 1700 | 156.2 11925 1701 | 156.3 5562 1702 | 156.3 2859 1703 | 156.4 2118 1704 | 156.4 2690 1705 | 156.5 3356 1706 | 156.6 3886 1707 | 156.6 4921 1708 | 156.7 6768 1709 | 156.8 11724 1710 | 156.8 29067 1711 | 156.9 82216 1712 | 156.9 207638 1713 | 157.0 370345 1714 | 157.1 432854 1715 | 157.1 335642 1716 | 157.2 182780 1717 | 157.3 76890 1718 | 157.3 28079 1719 | 157.4 10450 1720 | 157.4 4765 1721 | 157.5 2610 1722 | 157.6 1843 1723 | 157.6 1417 1724 | 157.7 993 1725 | 157.8 1209 1726 | 157.8 2354 1727 | 157.9 5486 1728 | 157.9 13095 1729 | 158.0 21895 1730 | 158.1 23479 1731 | 158.1 17033 1732 | 158.2 9329 1733 | 158.3 4452 1734 | 158.3 2430 1735 | 158.4 2342 1736 | 158.4 3397 1737 | 158.5 4669 1738 | 158.6 5815 1739 | 158.6 7280 1740 | 158.7 9491 1741 | 158.8 14896 1742 | 158.8 34446 1743 | 158.9 98802 1744 | 158.9 254193 1745 | 159.0 475767 1746 | 159.1 596265 1747 | 159.1 496600 1748 | 159.2 284789 1749 | 159.3 123217 1750 | 159.3 46391 1751 | 159.4 17272 1752 | 159.4 6728 1753 | 159.5 3309 1754 | 159.6 2301 1755 | 159.6 1915 1756 | 159.7 1612 1757 | 159.8 1539 1758 | 159.8 2174 1759 | 159.9 4797 1760 | 159.9 10880 1761 | 160.0 18705 1762 | 160.1 22227 1763 | 160.1 17994 1764 | 160.2 10692 1765 | 160.3 5535 1766 | 160.3 3035 1767 | 160.4 2369 1768 | 160.4 2361 1769 | 160.5 2180 1770 | 160.6 2608 1771 | 160.6 4177 1772 | 160.7 6919 1773 | 160.8 11415 1774 | 160.8 24073 1775 | 160.9 66720 1776 | 160.9 166414 1777 | 161.0 304130 1778 | 161.1 384965 1779 | 161.1 332894 1780 | 161.2 199179 1781 | 161.3 88313 1782 | 161.3 33809 1783 | 161.4 12795 1784 | 161.4 4997 1785 | 161.5 2334 1786 | 161.6 1669 1787 | 161.6 1331 1788 | 161.7 991 1789 | 161.8 888 1790 | 161.8 1135 1791 | 161.9 2779 1792 | 161.9 6096 1793 | 162.0 9996 1794 | 162.1 12580 1795 | 162.1 11177 1796 | 162.2 6777 1797 | 162.3 3307 1798 | 162.3 1770 1799 | 162.4 1188 1800 | 162.4 1119 1801 | 162.5 1350 1802 | 162.6 1602 1803 | 162.6 1665 1804 | 162.7 1945 1805 | 162.8 2899 1806 | 162.8 6549 1807 | 162.9 18179 1808 | 162.9 41298 1809 | 163.0 68165 1810 | 163.1 78463 1811 | 163.1 62193 1812 | 163.2 34779 1813 | 163.3 14884 1814 | 163.3 5612 1815 | 163.4 2279 1816 | 163.4 1072 1817 | 163.5 571 1818 | 163.6 335 1819 | 163.6 236 1820 | 163.7 227 1821 | 163.8 261 1822 | 163.8 358 1823 | 163.9 651 1824 | 163.9 1326 1825 | 164.0 2207 1826 | 164.1 2627 1827 | 164.1 2400 1828 | 164.2 1756 1829 | 164.3 1000 1830 | 164.3 637 1831 | 164.4 749 1832 | 164.4 897 1833 | 164.5 1059 1834 | 164.6 1340 1835 | 164.6 1688 1836 | 164.7 2486 1837 | 164.8 5677 1838 | 164.8 16516 1839 | 164.9 46118 1840 | 164.9 98509 1841 | 165.0 141314 1842 | 165.1 133547 1843 | 165.1 85295 1844 | 165.2 38866 1845 | 165.3 13936 1846 | 165.3 4765 1847 | 165.4 1873 1848 | 165.4 1006 1849 | 165.5 663 1850 | 165.6 555 1851 | 165.6 491 1852 | 165.7 509 1853 | 165.8 950 1854 | 165.8 2389 1855 | 165.9 7296 1856 | 165.9 16682 1857 | 166.0 24384 1858 | 166.1 22934 1859 | 166.1 14392 1860 | 166.2 6563 1861 | 166.3 2658 1862 | 166.3 1233 1863 | 166.4 1047 1864 | 166.4 1396 1865 | 166.5 1695 1866 | 166.6 1958 1867 | 166.6 2689 1868 | 166.7 4274 1869 | 166.8 7708 1870 | 166.8 19337 1871 | 166.9 55976 1872 | 166.9 120806 1873 | 167.0 171576 1874 | 167.1 160590 1875 | 167.1 102657 1876 | 167.2 47992 1877 | 167.3 18231 1878 | 167.3 6528 1879 | 167.4 2833 1880 | 167.4 1382 1881 | 167.5 774 1882 | 167.6 526 1883 | 167.6 428 1884 | 167.7 505 1885 | 167.8 1021 1886 | 167.8 2632 1887 | 167.9 7183 1888 | 167.9 16199 1889 | 168.0 25054 1890 | 168.1 25282 1891 | 168.1 17056 1892 | 168.2 8332 1893 | 168.3 3541 1894 | 168.3 1899 1895 | 168.4 1605 1896 | 168.4 1527 1897 | 168.5 1478 1898 | 168.6 1836 1899 | 168.6 2831 1900 | 168.7 4735 1901 | 168.8 9702 1902 | 168.8 24790 1903 | 168.9 67194 1904 | 168.9 156276 1905 | 169.0 254984 1906 | 169.1 272872 1907 | 169.1 192763 1908 | 169.2 95087 1909 | 169.3 36957 1910 | 169.3 13268 1911 | 169.4 4988 1912 | 169.4 2317 1913 | 169.5 1299 1914 | 169.6 800 1915 | 169.6 694 1916 | 169.7 686 1917 | 169.8 989 1918 | 169.8 2463 1919 | 169.9 6086 1920 | 169.9 12512 1921 | 170.0 17512 1922 | 170.1 16340 1923 | 170.1 11494 1924 | 170.2 6893 1925 | 170.3 3582 1926 | 170.3 2238 1927 | 170.4 2399 1928 | 170.4 2669 1929 | 170.5 2745 1930 | 170.6 3323 1931 | 170.6 4577 1932 | 170.7 6991 1933 | 170.8 13112 1934 | 170.8 31897 1935 | 170.9 85907 1936 | 170.9 206348 1937 | 171.0 356131 1938 | 171.1 407000 1939 | 171.1 308375 1940 | 171.2 162296 1941 | 171.3 65351 1942 | 171.3 23173 1943 | 171.4 8274 1944 | 171.4 3434 1945 | 171.5 2005 1946 | 171.6 1718 1947 | 171.6 1563 1948 | 171.7 1262 1949 | 171.8 1244 1950 | 171.8 1895 1951 | 171.9 3764 1952 | 171.9 8353 1953 | 172.0 14791 1954 | 172.1 17161 1955 | 172.1 12744 1956 | 172.2 6836 1957 | 172.3 3602 1958 | 172.3 2334 1959 | 172.4 2055 1960 | 172.4 2226 1961 | 172.5 2201 1962 | 172.6 2216 1963 | 172.6 2942 1964 | 172.7 5054 1965 | 172.8 10144 1966 | 172.8 23488 1967 | 172.9 65345 1968 | 172.9 156297 1969 | 173.0 264201 1970 | 173.1 303126 1971 | 173.1 236669 1972 | 173.2 129565 1973 | 173.3 54060 1974 | 173.3 19510 1975 | 173.4 7003 1976 | 173.4 2846 1977 | 173.5 1400 1978 | 173.6 932 1979 | 173.6 667 1980 | 173.7 624 1981 | 173.8 930 1982 | 173.8 1521 1983 | 173.9 2702 1984 | 173.9 5289 1985 | 174.0 9339 1986 | 174.1 11451 1987 | 174.1 9114 1988 | 174.2 5197 1989 | 174.3 2924 1990 | 174.3 2095 1991 | 174.4 1788 1992 | 174.4 1685 1993 | 174.5 1741 1994 | 174.6 1806 1995 | 174.6 2344 1996 | 174.7 4018 1997 | 174.8 7623 1998 | 174.8 19417 1999 | 174.9 54256 2000 | 174.9 123770 2001 | 175.0 199586 2002 | 175.1 220880 2003 | 175.1 170083 2004 | 175.2 93696 2005 | 175.3 38544 2006 | 175.3 13582 2007 | 175.4 5234 2008 | 175.4 2233 2009 | 175.5 868 2010 | 175.6 352 2011 | 175.6 248 2012 | 175.7 294 2013 | 175.8 425 2014 | 175.8 783 2015 | 175.9 1528 2016 | 175.9 3212 2017 | 176.0 5854 2018 | 176.1 7052 2019 | 176.1 5348 2020 | 176.2 2879 2021 | 176.3 1580 2022 | 176.3 1100 2023 | 176.4 781 2024 | 176.4 630 2025 | 176.5 792 2026 | 176.6 1176 2027 | 176.6 1657 2028 | 176.7 2232 2029 | 176.8 3559 2030 | 176.8 7964 2031 | 176.9 22853 2032 | 176.9 53459 2033 | 177.0 84574 2034 | 177.1 89618 2035 | 177.1 64032 2036 | 177.2 31331 2037 | 177.3 11687 2038 | 177.3 4195 2039 | 177.4 1472 2040 | 177.4 543 2041 | 177.5 309 2042 | 177.6 397 2043 | 177.6 402 2044 | 177.7 387 2045 | 177.8 814 2046 | 177.8 2576 2047 | 177.9 7518 2048 | 177.9 15894 2049 | 178.0 21846 2050 | 178.1 19500 2051 | 178.1 11881 2052 | 178.2 5386 2053 | 178.3 2040 2054 | 178.3 886 2055 | 178.4 668 2056 | 178.4 684 2057 | 178.5 672 2058 | 178.6 866 2059 | 178.6 1442 2060 | 178.7 2500 2061 | 178.8 4369 2062 | 178.8 9873 2063 | 178.9 27402 2064 | 178.9 62245 2065 | 179.0 92786 2066 | 179.1 88134 2067 | 179.1 55841 2068 | 179.2 26339 2069 | 179.3 10613 2070 | 179.3 4297 2071 | 179.4 1970 2072 | 179.4 795 2073 | 179.5 415 2074 | 179.6 400 2075 | 179.6 418 2076 | 179.7 503 2077 | 179.8 680 2078 | 179.8 1796 2079 | 179.9 5128 2080 | 179.9 11403 2081 | 180.0 17022 2082 | 180.1 16390 2083 | 180.1 10487 2084 | 180.2 4905 2085 | 180.3 2043 2086 | 180.3 1063 2087 | 180.4 653 2088 | 180.4 602 2089 | 180.5 946 2090 | 180.6 1422 2091 | 180.6 2009 2092 | 180.7 3169 2093 | 180.8 6381 2094 | 180.8 17472 2095 | 180.9 52331 2096 | 180.9 120464 2097 | 181.0 182318 2098 | 181.1 179344 2099 | 181.1 118253 2100 | 181.2 55684 2101 | 181.3 21473 2102 | 181.3 8666 2103 | 181.4 3995 2104 | 181.4 1918 2105 | 181.5 1013 2106 | 181.6 763 2107 | 181.6 807 2108 | 181.7 1062 2109 | 181.8 1676 2110 | 181.8 3526 2111 | 181.9 8596 2112 | 181.9 18688 2113 | 182.0 27432 2114 | 182.1 25846 2115 | 182.1 16666 2116 | 182.2 8262 2117 | 182.3 3546 2118 | 182.3 1834 2119 | 182.4 1353 2120 | 182.4 1373 2121 | 182.5 1719 2122 | 182.6 2392 2123 | 182.6 3375 2124 | 182.7 5135 2125 | 182.8 11075 2126 | 182.8 30924 2127 | 182.9 89725 2128 | 182.9 204704 2129 | 183.0 323321 2130 | 183.1 341341 2131 | 183.1 241952 2132 | 183.2 120239 2133 | 183.3 46915 2134 | 183.3 16794 2135 | 183.4 6580 2136 | 183.4 3011 2137 | 183.5 1967 2138 | 183.6 1622 2139 | 183.6 1109 2140 | 183.7 830 2141 | 183.8 1161 2142 | 183.8 1916 2143 | 183.9 4742 2144 | 183.9 11394 2145 | 184.0 18553 2146 | 184.1 19427 2147 | 184.1 13675 2148 | 184.2 7620 2149 | 184.3 4355 2150 | 184.3 2643 2151 | 184.4 1719 2152 | 184.4 1421 2153 | 184.5 1662 2154 | 184.6 2412 2155 | 184.6 3603 2156 | 184.7 5730 2157 | 184.8 10607 2158 | 184.8 25914 2159 | 184.9 74262 2160 | 184.9 177683 2161 | 185.0 297426 2162 | 185.1 332891 2163 | 185.1 251145 2164 | 185.2 133830 2165 | 185.3 55160 2166 | 185.3 19466 2167 | 185.4 6921 2168 | 185.4 3197 2169 | 185.5 2027 2170 | 185.6 1509 2171 | 185.6 1163 2172 | 185.7 976 2173 | 185.8 973 2174 | 185.8 1509 2175 | 185.9 3580 2176 | 185.9 8033 2177 | 186.0 13897 2178 | 186.1 16399 2179 | 186.1 12638 2180 | 186.2 6662 2181 | 186.3 2818 2182 | 186.3 1186 2183 | 186.4 815 2184 | 186.4 945 2185 | 186.5 1129 2186 | 186.6 1526 2187 | 186.6 2722 2188 | 186.7 4368 2189 | 186.8 7539 2190 | 186.8 18381 2191 | 186.9 52141 2192 | 186.9 121739 2193 | 187.0 196526 2194 | 187.1 212688 2195 | 187.1 157490 2196 | 187.2 83790 2197 | 187.3 35000 2198 | 187.3 13179 2199 | 187.4 5225 2200 | 187.4 2181 2201 | 187.5 751 2202 | 187.6 374 2203 | 187.6 482 2204 | 187.7 552 2205 | 187.8 475 2206 | 187.8 576 2207 | 187.9 1630 2208 | 187.9 3737 2209 | 188.0 6002 2210 | 188.1 6976 2211 | 188.1 5767 2212 | 188.2 3463 2213 | 188.3 1766 2214 | 188.3 969 2215 | 188.4 692 2216 | 188.4 672 2217 | 188.5 769 2218 | 188.6 915 2219 | 188.6 1377 2220 | 188.7 2651 2221 | 188.8 5694 2222 | 188.8 14251 2223 | 188.9 36323 2224 | 188.9 82547 2225 | 189.0 139923 2226 | 189.1 160914 2227 | 189.1 126007 2228 | 189.2 71314 2229 | 189.3 31115 2230 | 189.3 10871 2231 | 189.4 3611 2232 | 189.4 1398 2233 | 189.5 665 2234 | 189.6 555 2235 | 189.6 547 2236 | 189.7 412 2237 | 189.8 308 2238 | 189.8 648 2239 | 189.9 2141 2240 | 189.9 4716 2241 | 190.0 6697 2242 | 190.1 6548 2243 | 190.1 4966 2244 | 190.2 3259 2245 | 190.3 1830 2246 | 190.3 962 2247 | 190.4 665 2248 | 190.4 557 2249 | 190.5 677 2250 | 190.6 941 2251 | 190.6 1212 2252 | 190.7 1829 2253 | 190.8 3784 2254 | 190.8 10744 2255 | 190.9 31841 2256 | 190.9 70325 2257 | 191.0 102246 2258 | 191.1 96746 2259 | 191.1 61143 2260 | 191.2 27735 2261 | 191.3 10363 2262 | 191.3 3756 2263 | 191.4 1573 2264 | 191.4 802 2265 | 191.5 409 2266 | 191.6 328 2267 | 191.6 355 2268 | 191.7 480 2269 | 191.8 943 2270 | 191.8 2487 2271 | 191.9 7044 2272 | 191.9 14905 2273 | 192.0 20820 2274 | 192.1 18732 2275 | 192.1 10777 2276 | 192.2 4283 2277 | 192.3 1742 2278 | 192.3 965 2279 | 192.4 593 2280 | 192.4 424 2281 | 192.5 553 2282 | 192.6 1018 2283 | 192.6 1569 2284 | 192.7 2405 2285 | 192.8 5380 2286 | 192.8 15152 2287 | 192.9 43018 2288 | 192.9 92651 2289 | 193.0 131179 2290 | 193.1 120138 2291 | 193.1 73747 2292 | 193.2 33065 2293 | 193.3 12684 2294 | 193.3 5139 2295 | 193.4 2326 2296 | 193.4 977 2297 | 193.5 456 2298 | 193.6 372 2299 | 193.6 450 2300 | 193.7 644 2301 | 193.8 916 2302 | 193.8 2000 2303 | 193.9 5179 2304 | 193.9 11121 2305 | 194.0 16318 2306 | 194.1 15658 2307 | 194.1 10130 2308 | 194.2 4744 2309 | 194.3 1791 2310 | 194.3 889 2311 | 194.4 1077 2312 | 194.4 1456 2313 | 194.5 1417 2314 | 194.6 1633 2315 | 194.6 2599 2316 | 194.7 4167 2317 | 194.8 9161 2318 | 194.8 26228 2319 | 194.9 74050 2320 | 194.9 165056 2321 | 195.0 254534 2322 | 195.1 260139 2323 | 195.1 177954 2324 | 195.2 86549 2325 | 195.3 33879 2326 | 195.3 12240 2327 | 195.4 4776 2328 | 195.4 2205 2329 | 195.5 1367 2330 | 195.6 1241 2331 | 195.6 1180 2332 | 195.7 1000 2333 | 195.8 1072 2334 | 195.8 2152 2335 | 195.9 6009 2336 | 195.9 13926 2337 | 196.0 21276 2338 | 196.1 20895 2339 | 196.1 13900 2340 | 196.2 7049 2341 | 196.3 3264 2342 | 196.3 1774 2343 | 196.4 1312 2344 | 196.4 1324 2345 | 196.5 1591 2346 | 196.6 1997 2347 | 196.6 3127 2348 | 196.7 5822 2349 | 196.8 12394 2350 | 196.8 33771 2351 | 196.9 98856 2352 | 196.9 233722 2353 | 197.0 385740 2354 | 197.1 426882 2355 | 197.1 317696 2356 | 197.2 164746 2357 | 197.3 65294 2358 | 197.3 22874 2359 | 197.4 8071 2360 | 197.4 3295 2361 | 197.5 1815 2362 | 197.6 1398 2363 | 197.6 1389 2364 | 197.7 1386 2365 | 197.8 1568 2366 | 197.8 2368 2367 | 197.9 5521 2368 | 197.9 12767 2369 | 198.0 20740 2370 | 198.1 22448 2371 | 198.1 16614 2372 | 198.2 8927 2373 | 198.3 4018 2374 | 198.3 1943 2375 | 198.4 1362 2376 | 198.4 1342 2377 | 198.5 1469 2378 | 198.6 1725 2379 | 198.6 3004 2380 | 198.7 5540 2381 | 198.8 10551 2382 | 198.8 27167 2383 | 198.9 75233 2384 | 198.9 171935 2385 | 199.0 281661 2386 | 199.1 314206 2387 | 199.1 238511 2388 | 199.2 127882 2389 | 199.3 52920 2390 | 199.3 19421 2391 | 199.4 7278 2392 | 199.4 3030 2393 | 199.5 1395 2394 | 199.6 994 2395 | 199.6 952 2396 | 199.7 733 2397 | 199.8 693 2398 | 199.8 1628 2399 | 199.9 3950 2400 | 199.9 7958 2401 | 200.0 12429 2402 | 200.1 13549 2403 | 200.1 10088 2404 | 200.2 5597 2405 | 200.3 3083 2406 | 200.3 2193 2407 | 200.4 1567 2408 | 200.4 1193 2409 | 200.5 1414 2410 | 200.6 1885 2411 | 200.6 3079 2412 | 200.7 5704 2413 | 200.8 11015 2414 | 200.8 28051 2415 | 200.9 74599 2416 | 200.9 161135 2417 | 201.0 254037 2418 | 201.1 280377 2419 | 201.1 215892 2420 | 201.2 119379 2421 | 201.3 50205 2422 | 201.3 17532 2423 | 201.4 5986 2424 | 201.4 2365 2425 | 201.5 1069 2426 | 201.6 690 2427 | 201.6 453 2428 | 201.7 383 2429 | 201.8 520 2430 | 201.8 1357 2431 | 201.9 4343 2432 | 201.9 9063 2433 | 202.0 12844 2434 | 202.1 12229 2435 | 202.1 7688 2436 | 202.2 3733 2437 | 202.3 2136 2438 | 202.3 1512 2439 | 202.4 1158 2440 | 202.4 960 2441 | 202.5 1023 2442 | 202.6 1145 2443 | 202.6 1546 2444 | 202.7 2889 2445 | 202.8 5890 2446 | 202.8 14761 2447 | 202.9 39920 2448 | 202.9 87060 2449 | 203.0 133436 2450 | 203.1 137882 2451 | 203.1 96445 2452 | 203.2 48133 2453 | 203.3 19253 2454 | 203.3 7181 2455 | 203.4 2963 2456 | 203.4 1336 2457 | 203.5 613 2458 | 203.6 441 2459 | 203.6 387 2460 | 203.7 308 2461 | 203.8 471 2462 | 203.8 1224 2463 | 203.9 3035 2464 | 203.9 6230 2465 | 204.0 9008 2466 | 204.1 8633 2467 | 204.1 5696 2468 | 204.2 2847 2469 | 204.3 1148 2470 | 204.3 445 2471 | 204.4 321 2472 | 204.4 333 2473 | 204.5 391 2474 | 204.6 692 2475 | 204.6 1169 2476 | 204.7 1894 2477 | 204.8 4037 2478 | 204.8 10395 2479 | 204.9 27012 2480 | 204.9 57096 2481 | 205.0 82718 2482 | 205.1 79066 2483 | 205.1 51274 2484 | 205.2 24220 2485 | 205.3 9215 2486 | 205.3 3285 2487 | 205.4 1344 2488 | 205.4 706 2489 | 205.5 428 2490 | 205.6 262 2491 | 205.6 210 2492 | 205.7 309 2493 | 205.8 695 2494 | 205.8 2541 2495 | 205.9 6850 2496 | 205.9 13083 2497 | 206.0 17828 2498 | 206.1 16493 2499 | 206.1 10027 2500 | 206.2 4204 2501 | 206.3 1565 2502 | 206.3 796 2503 | 206.4 578 2504 | 206.4 610 2505 | 206.5 715 2506 | 206.6 835 2507 | 206.6 1272 2508 | 206.7 2628 2509 | 206.8 6184 2510 | 206.8 18363 2511 | 206.9 54704 2512 | 206.9 123991 2513 | 207.0 188630 2514 | 207.1 188823 2515 | 207.1 127473 2516 | 207.2 61577 2517 | 207.3 23268 2518 | 207.3 8062 2519 | 207.4 3359 2520 | 207.4 1714 2521 | 207.5 951 2522 | 207.6 523 2523 | 207.6 348 2524 | 207.7 471 2525 | 207.8 704 2526 | 207.8 1782 2527 | 207.9 4941 2528 | 207.9 11064 2529 | 208.0 17793 2530 | 208.1 19375 2531 | 208.1 14022 2532 | 208.2 6795 2533 | 208.3 2451 2534 | 208.3 1049 2535 | 208.4 833 2536 | 208.4 1005 2537 | 208.5 1070 2538 | 208.6 1123 2539 | 208.6 1804 2540 | 208.7 3806 2541 | 208.8 8823 2542 | 208.8 22999 2543 | 208.9 64428 2544 | 208.9 148933 2545 | 209.0 241975 2546 | 209.1 263945 2547 | 209.1 193190 2548 | 209.2 98036 2549 | 209.3 38177 2550 | 209.3 13488 2551 | 209.4 4933 2552 | 209.4 2128 2553 | 209.5 1259 2554 | 209.6 740 2555 | 209.6 490 2556 | 209.7 655 2557 | 209.8 1053 2558 | 209.8 1812 2559 | 209.9 4208 2560 | 209.9 9560 2561 | 210.0 16092 2562 | 210.1 17868 2563 | 210.1 13114 2564 | 210.2 7130 2565 | 210.3 3425 2566 | 210.3 1641 2567 | 210.4 1150 2568 | 210.4 1082 2569 | 210.5 1030 2570 | 210.6 1278 2571 | 210.6 2155 2572 | 210.7 4574 2573 | 210.8 10200 2574 | 210.8 26012 2575 | 210.9 74382 2576 | 210.9 180492 2577 | 211.0 308054 2578 | 211.1 350374 2579 | 211.1 266588 2580 | 211.2 141988 2581 | 211.3 59255 2582 | 211.3 22555 2583 | 211.4 8566 2584 | 211.4 3713 2585 | 211.5 2138 2586 | 211.6 1256 2587 | 211.6 831 2588 | 211.7 847 2589 | 211.8 1175 2590 | 211.8 1927 2591 | 211.9 4008 2592 | 211.9 8719 2593 | 212.0 14452 2594 | 212.1 16701 2595 | 212.1 13514 2596 | 212.2 7994 2597 | 212.3 3881 2598 | 212.3 1753 2599 | 212.4 788 2600 | 212.4 616 2601 | 212.5 814 2602 | 212.6 1337 2603 | 212.6 2563 2604 | 212.7 5030 2605 | 212.8 9696 2606 | 212.8 21922 2607 | 212.9 61667 2608 | 212.9 149690 2609 | 213.0 260474 2610 | 213.1 311809 2611 | 213.1 255825 2612 | 213.2 147276 2613 | 213.3 64429 2614 | 213.3 24357 2615 | 213.4 8761 2616 | 213.4 3204 2617 | 213.5 1395 2618 | 213.6 851 2619 | 213.6 668 2620 | 213.7 688 2621 | 213.8 764 2622 | 213.8 1178 2623 | 213.9 2910 2624 | 213.9 6830 2625 | 214.0 11919 2626 | 214.1 14922 2627 | 214.1 13230 2628 | 214.2 8307 2629 | 214.3 3939 2630 | 214.3 1938 2631 | 214.4 1383 2632 | 214.4 1228 2633 | 214.5 1254 2634 | 214.6 1442 2635 | 214.6 1912 2636 | 214.7 3580 2637 | 214.8 7338 2638 | 214.8 17773 2639 | 214.9 49670 2640 | 214.9 118690 2641 | 215.0 203753 2642 | 215.1 243378 2643 | 215.1 203628 2644 | 215.2 121238 2645 | 215.3 53331 2646 | 215.3 19627 2647 | 215.4 7465 2648 | 215.4 3068 2649 | 215.5 1309 2650 | 215.6 885 2651 | 215.6 745 2652 | 215.7 539 2653 | 215.8 470 2654 | 215.8 1139 2655 | 215.9 3357 2656 | 215.9 7772 2657 | 216.0 12472 2658 | 216.1 13861 2659 | 216.1 10791 2660 | 216.2 6027 2661 | 216.3 2897 2662 | 216.3 1627 2663 | 216.4 820 2664 | 216.4 393 2665 | 216.5 350 2666 | 216.6 455 2667 | 216.6 738 2668 | 216.7 1460 2669 | 216.8 3775 2670 | 216.8 11207 2671 | 216.9 30863 2672 | 216.9 69515 2673 | 217.0 111430 2674 | 217.1 119725 2675 | 217.1 86987 2676 | 217.2 44987 2677 | 217.3 17747 2678 | 217.3 5888 2679 | 217.4 2212 2680 | 217.4 1265 2681 | 217.5 908 2682 | 217.6 560 2683 | 217.6 361 2684 | 217.7 420 2685 | 217.8 606 2686 | 217.8 1671 2687 | 217.9 4687 2688 | 217.9 9307 2689 | 218.0 12875 2690 | 218.1 12372 2691 | 218.1 8277 2692 | 218.2 4110 2693 | 218.3 1803 2694 | 218.3 870 2695 | 218.4 565 2696 | 218.4 445 2697 | 218.5 494 2698 | 218.6 730 2699 | 218.6 1009 2700 | 218.7 1737 2701 | 218.8 4377 2702 | 218.8 13391 2703 | 218.9 38563 2704 | 218.9 82962 2705 | 219.0 120766 2706 | 219.1 115938 2707 | 219.1 74326 2708 | 219.2 34064 2709 | 219.3 12888 2710 | 219.3 4450 2711 | 219.4 1604 2712 | 219.4 899 2713 | 219.5 740 2714 | 219.6 638 2715 | 219.6 594 2716 | 219.7 655 2717 | 219.8 888 2718 | 219.8 1701 2719 | 219.9 4249 2720 | 219.9 9081 2721 | 220.0 13987 2722 | 220.1 14606 2723 | 220.1 10210 2724 | 220.2 5161 2725 | 220.3 2389 2726 | 220.3 1265 2727 | 220.4 851 2728 | 220.4 680 2729 | 220.5 689 2730 | 220.6 915 2731 | 220.6 1658 2732 | 220.7 3643 2733 | 220.8 8287 2734 | 220.8 22631 2735 | 220.9 66841 2736 | 220.9 154706 2737 | 221.0 241378 2738 | 221.1 247786 2739 | 221.1 169716 2740 | 221.2 81494 2741 | 221.3 31200 2742 | 221.3 11645 2743 | 221.4 4986 2744 | 221.4 2826 2745 | 221.5 1765 2746 | 221.6 1040 2747 | 221.6 650 2748 | 221.7 525 2749 | 221.8 703 2750 | 221.8 1711 2751 | 221.9 4936 2752 | 221.9 11845 2753 | 222.0 18906 2754 | 222.1 19378 2755 | 222.1 13379 2756 | 222.2 6787 2757 | 222.3 2743 2758 | 222.3 1135 2759 | 222.4 797 2760 | 222.4 779 2761 | 222.5 771 2762 | 222.6 964 2763 | 222.6 1698 2764 | 222.7 3330 2765 | 222.8 7849 2766 | 222.8 22085 2767 | 222.9 64832 2768 | 222.9 159642 2769 | 223.0 273258 2770 | 223.1 308814 2771 | 223.1 234673 2772 | 223.2 126119 2773 | 223.3 51905 2774 | 223.3 18830 2775 | 223.4 7332 2776 | 223.4 2968 2777 | 223.5 1363 2778 | 223.6 924 2779 | 223.6 690 2780 | 223.7 486 2781 | 223.8 563 2782 | 223.8 1407 2783 | 223.9 3791 2784 | 223.9 9332 2785 | 224.0 16843 2786 | 224.1 20441 2787 | 224.1 16723 2788 | 224.2 9484 2789 | 224.3 4042 2790 | 224.3 1751 2791 | 224.4 1043 2792 | 224.4 849 2793 | 224.5 1016 2794 | 224.6 1411 2795 | 224.6 2251 2796 | 224.7 3841 2797 | 224.8 8125 2798 | 224.8 22579 2799 | 224.9 63328 2800 | 224.9 145327 2801 | 225.0 241381 2802 | 225.1 274863 2803 | 225.1 213122 2804 | 225.2 115437 2805 | 225.3 46681 2806 | 225.3 15917 2807 | 225.4 5639 2808 | 225.4 2433 2809 | 225.5 1178 2810 | 225.6 645 2811 | 225.6 534 2812 | 225.7 522 2813 | 225.8 567 2814 | 225.8 1364 2815 | 225.9 3441 2816 | 225.9 7163 2817 | 226.0 11828 2818 | 226.1 14119 2819 | 226.1 11846 2820 | 226.2 7290 2821 | 226.3 3569 2822 | 226.3 1625 2823 | 226.4 1017 2824 | 226.4 1064 2825 | 226.5 1114 2826 | 226.6 1095 2827 | 226.6 1763 2828 | 226.7 3807 2829 | 226.8 7355 2830 | 226.8 16896 2831 | 226.9 47083 2832 | 226.9 110696 2833 | 227.0 187590 2834 | 227.1 220926 2835 | 227.1 180821 2836 | 227.2 105453 2837 | 227.3 46469 2838 | 227.3 17069 2839 | 227.4 6038 2840 | 227.4 2337 2841 | 227.5 1180 2842 | 227.6 772 2843 | 227.6 483 2844 | 227.7 317 2845 | 227.8 474 2846 | 227.8 1216 2847 | 227.9 2653 2848 | 227.9 5727 2849 | 228.0 10144 2850 | 228.1 12842 2851 | 228.1 11337 2852 | 228.2 6912 2853 | 228.3 2899 2854 | 228.3 1009 2855 | 228.4 464 2856 | 228.4 435 2857 | 228.5 502 2858 | 228.6 620 2859 | 228.6 1395 2860 | 228.7 2716 2861 | 228.8 5307 2862 | 228.8 14937 2863 | 228.9 43995 2864 | 228.9 101708 2865 | 229.0 162221 2866 | 229.1 174469 2867 | 229.1 129827 2868 | 229.2 70343 2869 | 229.3 29698 2870 | 229.3 10784 2871 | 229.4 3899 2872 | 229.4 1596 2873 | 229.5 796 2874 | 229.6 496 2875 | 229.6 298 2876 | 229.7 234 2877 | 229.8 396 2878 | 229.8 911 2879 | 229.9 2426 2880 | 229.9 5219 2881 | 230.0 8200 2882 | 230.1 9432 2883 | 230.1 8196 2884 | 230.2 5430 2885 | 230.3 2829 2886 | 230.3 1438 2887 | 230.4 1099 2888 | 230.4 1202 2889 | 230.5 1299 2890 | 230.6 1269 2891 | 230.6 1571 2892 | 230.7 2727 2893 | 230.8 5406 2894 | 230.8 12670 2895 | 230.9 32883 2896 | 230.9 74610 2897 | 231.0 124135 2898 | 231.1 140417 2899 | 231.1 106290 2900 | 231.2 55668 2901 | 231.3 22637 2902 | 231.3 8624 2903 | 231.4 3511 2904 | 231.4 1619 2905 | 231.5 1051 2906 | 231.6 923 2907 | 231.6 813 2908 | 231.7 908 2909 | 231.8 1197 2910 | 231.8 1605 2911 | 231.9 3489 2912 | 231.9 7962 2913 | 232.0 12935 2914 | 232.1 14511 2915 | 232.1 11356 2916 | 232.2 6169 2917 | 232.3 2423 2918 | 232.3 920 2919 | 232.4 571 2920 | 232.4 459 2921 | 232.5 356 2922 | 232.6 373 2923 | 232.6 712 2924 | 232.7 1820 2925 | 232.8 5094 2926 | 232.8 14532 2927 | 232.9 42456 2928 | 232.9 95022 2929 | 233.0 143433 2930 | 233.1 145330 2931 | 233.1 100816 2932 | 233.2 49235 2933 | 233.3 18136 2934 | 233.3 5935 2935 | 233.4 2396 2936 | 233.4 1555 2937 | 233.5 1139 2938 | 233.6 661 2939 | 233.6 434 2940 | 233.7 548 2941 | 233.8 926 2942 | 233.8 1883 2943 | 233.9 4563 2944 | 233.9 9827 2945 | 234.0 14790 2946 | 234.1 14776 2947 | 234.1 10123 2948 | 234.2 5292 2949 | 234.3 2536 2950 | 234.3 1262 2951 | 234.4 711 2952 | 234.4 525 2953 | 234.5 451 2954 | 234.6 534 2955 | 234.6 1087 2956 | 234.7 2239 2957 | 234.8 5299 2958 | 234.8 16071 2959 | 234.9 47384 2960 | 234.9 111343 2961 | 235.0 180216 2962 | 235.1 192759 2963 | 235.1 139182 2964 | 235.2 72130 2965 | 235.3 29591 2966 | 235.3 10970 2967 | 235.4 4037 2968 | 235.4 1535 2969 | 235.5 1088 2970 | 235.6 1235 2971 | 235.6 1115 2972 | 235.7 886 2973 | 235.8 1189 2974 | 235.8 2546 2975 | 235.9 5084 2976 | 235.9 9239 2977 | 236.0 15338 2978 | 236.1 19224 2979 | 236.1 16303 2980 | 236.2 9574 2981 | 236.3 4527 2982 | 236.3 2033 2983 | 236.4 903 2984 | 236.4 531 2985 | 236.5 469 2986 | 236.6 561 2987 | 236.6 1189 2988 | 236.7 2608 2989 | 236.8 5442 2990 | 236.8 13901 2991 | 236.9 38460 2992 | 236.9 90188 2993 | 237.0 155714 2994 | 237.1 185203 2995 | 237.1 149245 2996 | 237.2 83379 2997 | 237.3 34498 2998 | 237.3 11717 2999 | 237.4 4129 3000 | 237.4 2062 3001 | 237.5 1152 3002 | 237.6 693 3003 | 237.6 547 3004 | 237.7 427 3005 | 237.8 393 3006 | 237.8 971 3007 | 237.9 3805 3008 | 237.9 9473 3009 | 238.0 15993 3010 | 238.1 19210 3011 | 238.1 16129 3012 | 238.2 9446 3013 | 238.3 4300 3014 | 238.3 1994 3015 | 238.4 1247 3016 | 238.4 976 3017 | 238.5 1012 3018 | 238.6 1355 3019 | 238.6 2001 3020 | 238.7 3622 3021 | 238.8 8469 3022 | 238.8 23251 3023 | 238.9 62915 3024 | 238.9 139074 3025 | 239.0 220128 3026 | 239.1 239240 3027 | 239.1 179680 3028 | 239.2 96771 3029 | 239.3 40476 3030 | 239.3 15173 3031 | 239.4 5852 3032 | 239.4 2587 3033 | 239.5 1588 3034 | 239.6 1209 3035 | 239.6 907 3036 | 239.7 672 3037 | 239.8 706 3038 | 239.8 1450 3039 | 239.9 3095 3040 | 239.9 6677 3041 | 240.0 11770 3042 | 240.1 14301 3043 | 240.1 11752 3044 | 240.2 6965 3045 | 240.3 3468 3046 | 240.3 1815 3047 | 240.4 1120 3048 | 240.4 904 3049 | 240.5 933 3050 | 240.6 1349 3051 | 240.6 2250 3052 | 240.7 3630 3053 | 240.8 7474 3054 | 240.8 20331 3055 | 240.9 59794 3056 | 240.9 133063 3057 | 241.0 203729 3058 | 241.1 214430 3059 | 241.1 156790 3060 | 241.2 81293 3061 | 241.3 31999 3062 | 241.3 10697 3063 | 241.4 3565 3064 | 241.4 1517 3065 | 241.5 1091 3066 | 241.6 945 3067 | 241.6 963 3068 | 241.7 953 3069 | 241.8 842 3070 | 241.8 1299 3071 | 241.9 3736 3072 | 241.9 9262 3073 | 242.0 14288 3074 | 242.1 13809 3075 | 242.1 9298 3076 | 242.2 4856 3077 | 242.3 1949 3078 | 242.3 739 3079 | 242.4 521 3080 | 242.4 633 3081 | 242.5 804 3082 | 242.6 800 3083 | 242.6 944 3084 | 242.7 1939 3085 | 242.8 4380 3086 | 242.8 10321 3087 | 242.9 28235 3088 | 242.9 65267 3089 | 243.0 109915 3090 | 243.1 128638 3091 | 243.1 103157 3092 | 243.2 58046 3093 | 243.3 25072 3094 | 243.3 9320 3095 | 243.4 3311 3096 | 243.4 1299 3097 | 243.5 748 3098 | 243.6 552 3099 | 243.6 584 3100 | 243.7 703 3101 | 243.8 737 3102 | 243.8 1066 3103 | 243.9 2012 3104 | 243.9 4056 3105 | 244.0 6842 3106 | 244.1 8052 3107 | 244.1 6299 3108 | 244.2 3302 3109 | 244.3 1235 3110 | 244.3 437 3111 | 244.4 300 3112 | 244.4 377 3113 | 244.5 486 3114 | 244.6 675 3115 | 244.6 1019 3116 | 244.7 1666 3117 | 244.8 3489 3118 | 244.8 8774 3119 | 244.9 23385 3120 | 244.9 52395 3121 | 245.0 89192 3122 | 245.1 107897 3123 | 245.1 89154 3124 | 245.2 50513 3125 | 245.3 21505 3126 | 245.3 8165 3127 | 245.4 3008 3128 | 245.4 1056 3129 | 245.5 510 3130 | 245.6 290 3131 | 245.6 243 3132 | 245.7 354 3133 | 245.8 517 3134 | 245.8 1226 3135 | 245.9 3524 3136 | 245.9 7431 3137 | 246.0 11225 3138 | 246.1 12518 3139 | 246.1 10020 3140 | 246.2 5641 3141 | 246.3 2454 3142 | 246.3 992 3143 | 246.4 416 3144 | 246.4 281 3145 | 246.5 276 3146 | 246.6 337 3147 | 246.6 853 3148 | 246.7 2493 3149 | 246.8 5519 3150 | 246.8 14651 3151 | 246.9 42302 3152 | 246.9 100497 3153 | 247.0 165508 3154 | 247.1 181759 3155 | 247.1 135740 3156 | 247.2 72341 3157 | 247.3 29289 3158 | 247.3 10047 3159 | 247.4 3542 3160 | 247.4 1737 3161 | 247.5 1169 3162 | 247.6 692 3163 | 247.6 349 3164 | 247.7 535 3165 | 247.8 1211 3166 | 247.8 2233 3167 | 247.9 4580 3168 | 247.9 9544 3169 | 248.0 15556 3170 | 248.1 17505 3171 | 248.1 13200 3172 | 248.2 7093 3173 | 248.3 3388 3174 | 248.3 1787 3175 | 248.4 1066 3176 | 248.4 769 3177 | 248.5 610 3178 | 248.6 431 3179 | 248.6 843 3180 | 248.7 2520 3181 | 248.8 6378 3182 | 248.8 17958 3183 | 248.9 53239 3184 | 248.9 129205 3185 | 249.0 221911 3186 | 249.1 257464 3187 | 249.1 202934 3188 | 249.2 113937 3189 | 249.3 49873 3190 | 249.3 18344 3191 | 249.4 6047 3192 | 249.4 2219 3193 | 249.5 1101 3194 | 249.6 789 3195 | 249.6 619 3196 | 249.7 685 3197 | 249.8 1280 3198 | 249.8 3049 3199 | 249.9 7832 3200 | 249.9 18109 3201 | 250.0 32825 3202 | 250.1 42701 3203 | 250.1 38290 3204 | 250.2 23685 3205 | 250.3 10671 3206 | 250.3 4218 3207 | 250.4 2133 3208 | 250.4 1600 3209 | 250.5 1485 3210 | 250.6 1587 3211 | 250.6 1967 3212 | 250.7 3489 3213 | 250.8 7733 3214 | 250.8 18783 3215 | 250.9 52804 3216 | 250.9 133110 3217 | 251.0 252130 3218 | 251.1 334100 3219 | 251.1 301042 3220 | 251.2 185541 3221 | 251.3 83015 3222 | 251.3 30678 3223 | 251.4 11170 3224 | 251.4 4861 3225 | 251.5 2651 3226 | 251.6 1724 3227 | 251.6 1010 3228 | 251.7 596 3229 | 251.8 844 3230 | 251.8 2048 3231 | 251.9 5016 3232 | 251.9 12269 3233 | 252.0 25092 3234 | 252.1 34916 3235 | 252.1 31792 3236 | 252.2 19898 3237 | 252.3 9531 3238 | 252.3 4389 3239 | 252.4 2905 3240 | 252.4 2556 3241 | 252.5 2588 3242 | 252.6 3576 3243 | 252.6 5873 3244 | 252.7 10540 3245 | 252.8 23179 3246 | 252.8 59964 3247 | 252.9 166190 3248 | 252.9 434196 3249 | 253.0 885992 3250 | 253.1 1275468 3251 | 253.1 1261546 3252 | 253.2 865608 3253 | 253.3 430729 3254 | 253.3 171394 3255 | 253.4 62116 3256 | 253.4 23027 3257 | 253.5 9630 3258 | 253.6 5020 3259 | 253.6 3511 3260 | 253.7 3029 3261 | 253.8 3149 3262 | 253.8 5310 3263 | 253.9 14054 3264 | 253.9 36558 3265 | 254.0 76025 3266 | 254.1 114667 3267 | 254.1 119390 3268 | 254.2 86055 3269 | 254.3 44929 3270 | 254.3 18198 3271 | 254.4 6462 3272 | 254.4 2809 3273 | 254.5 1803 3274 | 254.6 1790 3275 | 254.6 2212 3276 | 254.7 3532 3277 | 254.8 7868 3278 | 254.8 21113 3279 | 254.9 56380 3280 | 254.9 132960 3281 | 255.0 238922 3282 | 255.1 308904 3283 | 255.1 285036 3284 | 255.2 189131 3285 | 255.3 93174 3286 | 255.3 37466 3287 | 255.4 13584 3288 | 255.4 4871 3289 | 255.5 2245 3290 | 255.6 1429 3291 | 255.6 937 3292 | 255.7 794 3293 | 255.8 961 3294 | 255.8 1718 3295 | 255.9 3753 3296 | 255.9 8628 3297 | 256.0 15122 3298 | 256.1 18456 3299 | 256.1 16582 3300 | 256.2 11357 3301 | 256.3 5815 3302 | 256.3 2499 3303 | 256.4 1201 3304 | 256.4 810 3305 | 256.5 710 3306 | 256.6 663 3307 | 256.6 826 3308 | 256.7 1474 3309 | 256.8 4071 3310 | 256.8 11870 3311 | 256.9 30494 3312 | 256.9 65616 3313 | 257.0 104458 3314 | 257.1 113282 3315 | 257.1 83468 3316 | 257.2 44234 3317 | 257.3 18228 3318 | 257.3 6277 3319 | 257.4 2506 3320 | 257.4 1361 3321 | 257.5 697 3322 | 257.6 300 3323 | 257.6 202 3324 | 257.7 270 3325 | 257.8 354 3326 | 257.8 695 3327 | 257.9 2389 3328 | 257.9 6097 3329 | 258.0 10223 3330 | 258.1 11992 3331 | 258.1 9940 3332 | 258.2 5670 3333 | 258.3 2320 3334 | 258.3 930 3335 | 258.4 571 3336 | 258.4 441 3337 | 258.5 341 3338 | 258.6 429 3339 | 258.6 741 3340 | 258.7 1163 3341 | 258.8 2045 3342 | 258.8 4904 3343 | 258.9 14360 3344 | 258.9 34132 3345 | 259.0 55308 3346 | 259.1 58809 3347 | 259.1 41769 3348 | 259.2 21235 3349 | 259.3 8655 3350 | 259.3 2931 3351 | 259.4 994 3352 | 259.4 507 3353 | 259.5 349 3354 | 259.6 287 3355 | 259.6 311 3356 | 259.7 371 3357 | 259.8 675 3358 | 259.8 1550 3359 | 259.9 3529 3360 | 259.9 7490 3361 | 260.0 11588 3362 | 260.1 11964 3363 | 260.1 8517 3364 | 260.2 4675 3365 | 260.3 2360 3366 | 260.3 1202 3367 | 260.4 880 3368 | 260.4 1050 3369 | 260.5 961 3370 | 260.6 833 3371 | 260.6 1122 3372 | 260.7 2202 3373 | 260.8 5484 3374 | 260.8 14180 3375 | 260.9 39774 3376 | 260.9 94898 3377 | 261.0 164332 3378 | 261.1 194737 3379 | 261.1 156731 3380 | 261.2 88419 3381 | 261.3 38185 3382 | 261.3 14404 3383 | 261.4 5974 3384 | 261.4 3223 3385 | 261.5 1939 3386 | 261.6 1164 3387 | 261.6 851 3388 | 261.7 663 3389 | 261.8 761 3390 | 261.8 1280 3391 | 261.9 3035 3392 | 261.9 7758 3393 | 262.0 13663 3394 | 262.1 15754 3395 | 262.1 12417 3396 | 262.2 7055 3397 | 262.3 3119 3398 | 262.3 1129 3399 | 262.4 365 3400 | 262.4 349 3401 | 262.5 549 3402 | 262.6 710 3403 | 262.6 921 3404 | 262.7 1517 3405 | 262.8 3518 3406 | 262.8 10192 3407 | 262.9 30337 3408 | 262.9 75140 3409 | 263.0 137968 3410 | 263.1 176964 3411 | 263.1 155224 3412 | 263.2 94710 3413 | 263.3 43301 3414 | 263.3 16719 3415 | 263.4 6393 3416 | 263.4 3184 3417 | 263.5 1842 3418 | 263.6 932 3419 | 263.6 488 3420 | 263.7 334 3421 | 263.8 588 3422 | 263.8 1470 3423 | 263.9 3601 3424 | 263.9 8781 3425 | 264.0 17408 3426 | 264.1 24543 3427 | 264.1 23783 3428 | 264.2 15846 3429 | 264.3 7475 3430 | 264.3 2750 3431 | 264.4 946 3432 | 264.4 415 3433 | 264.5 393 3434 | 264.6 608 3435 | 264.6 1189 3436 | 264.7 2668 3437 | 264.8 5589 3438 | 264.8 13692 3439 | 264.9 35793 3440 | 264.9 85562 3441 | 265.0 158329 3442 | 265.1 206332 3443 | 265.1 186655 3444 | 265.2 120189 3445 | 265.3 57731 3446 | 265.3 22631 3447 | 265.4 8465 3448 | 265.4 3466 3449 | 265.5 1776 3450 | 265.6 1223 3451 | 265.6 828 3452 | 265.7 518 3453 | 265.8 577 3454 | 265.8 1074 3455 | 265.9 2279 3456 | 265.9 5231 3457 | 266.0 10455 3458 | 266.1 14668 3459 | 266.1 13837 3460 | 266.2 9121 3461 | 266.3 4530 3462 | 266.3 1961 3463 | 266.4 1008 3464 | 266.4 712 3465 | 266.5 831 3466 | 266.6 1308 3467 | 266.6 1981 3468 | 266.7 3847 3469 | 266.8 10450 3470 | 266.8 28933 3471 | 266.9 77032 3472 | 266.9 169157 3473 | 267.0 263578 3474 | 267.1 279917 3475 | 267.1 204591 3476 | 267.2 106935 3477 | 267.3 43896 3478 | 267.3 16798 3479 | 267.4 6689 3480 | 267.4 2690 3481 | 267.5 1028 3482 | 267.6 524 3483 | 267.6 577 3484 | 267.7 813 3485 | 267.8 1078 3486 | 267.8 1762 3487 | 267.9 4228 3488 | 267.9 10694 3489 | 268.0 19325 3490 | 268.1 22220 3491 | 268.1 16589 3492 | 268.2 8963 3493 | 268.3 4290 3494 | 268.3 2047 3495 | 268.4 1008 3496 | 268.4 618 3497 | 268.5 520 3498 | 268.6 601 3499 | 268.6 1176 3500 | 268.7 2334 3501 | 268.8 4981 3502 | 268.8 12345 3503 | 268.9 32097 3504 | 268.9 72890 3505 | 269.0 126690 3506 | 269.1 155529 3507 | 269.1 130481 3508 | 269.2 76086 3509 | 269.3 34024 3510 | 269.3 13816 3511 | 269.4 5734 3512 | 269.4 2466 3513 | 269.5 1185 3514 | 269.6 844 3515 | 269.6 789 3516 | 269.7 851 3517 | 269.8 1302 3518 | 269.8 2164 3519 | 269.9 3636 3520 | 269.9 7679 3521 | 270.0 14107 3522 | 270.1 17582 3523 | 270.1 14908 3524 | 270.2 9096 3525 | 270.3 4438 3526 | 270.3 2128 3527 | 270.4 1288 3528 | 270.4 1193 3529 | 270.5 1569 3530 | 270.6 2509 3531 | 270.6 4196 3532 | 270.7 6955 3533 | 270.8 13407 3534 | 270.8 30862 3535 | 270.9 78632 3536 | 270.9 199885 3537 | 271.0 408281 3538 | 271.1 593352 3539 | 271.1 594586 3540 | 271.2 415014 3541 | 271.3 211308 3542 | 271.3 86673 3543 | 271.4 32519 3544 | 271.4 12484 3545 | 271.5 5133 3546 | 271.6 2635 3547 | 271.6 1844 3548 | 271.7 1448 3549 | 271.8 1553 3550 | 271.8 2950 3551 | 271.9 6476 3552 | 271.9 14459 3553 | 272.0 26955 3554 | 272.1 38241 3555 | 272.1 39303 3556 | 272.2 28120 3557 | 272.3 14294 3558 | 272.3 6076 3559 | 272.4 2458 3560 | 272.4 1045 3561 | 272.5 712 3562 | 272.6 706 3563 | 272.6 956 3564 | 272.7 1451 3565 | 272.8 2508 3566 | 272.8 5642 3567 | 272.9 14985 3568 | 272.9 35538 3569 | 273.0 63399 3570 | 273.1 77490 3571 | 273.1 62895 3572 | 273.2 34813 3573 | 273.3 15018 3574 | 273.3 6247 3575 | 273.4 2684 3576 | 273.4 1062 3577 | 273.5 448 3578 | 273.6 279 3579 | 273.6 204 3580 | 273.7 203 3581 | 273.8 471 3582 | 273.8 1419 3583 | 273.9 3660 3584 | 273.9 8133 3585 | 274.0 13989 3586 | 274.1 17257 3587 | 274.1 14598 3588 | 274.2 8223 3589 | 274.3 3366 3590 | 274.3 1462 3591 | 274.4 714 3592 | 274.4 366 3593 | 274.5 271 3594 | 274.6 273 3595 | 274.6 534 3596 | 274.7 1443 3597 | 274.8 4555 3598 | 274.8 12966 3599 | 274.9 36106 3600 | 274.9 86137 3601 | 275.0 146584 3602 | 275.1 169218 3603 | 275.1 135353 3604 | 275.2 79237 3605 | 275.3 36789 3606 | 275.3 14771 3607 | 275.4 5644 3608 | 275.4 2329 3609 | 275.5 1295 3610 | 275.6 998 3611 | 275.6 733 3612 | 275.7 446 3613 | 275.8 606 3614 | 275.8 1637 3615 | 275.9 4161 3616 | 275.9 8772 3617 | 276.0 14758 3618 | 276.1 18692 3619 | 276.1 17001 3620 | 276.2 10908 3621 | 276.3 5047 3622 | 276.3 1796 3623 | 276.4 617 3624 | 276.4 326 3625 | 276.5 310 3626 | 276.6 369 3627 | 276.6 423 3628 | 276.7 592 3629 | 276.8 1475 3630 | 276.8 4099 3631 | 276.9 12077 3632 | 276.9 31122 3633 | 277.0 61211 3634 | 277.1 83199 3635 | 277.1 76646 3636 | 277.2 49535 3637 | 277.3 23873 3638 | 277.3 9141 3639 | 277.4 3525 3640 | 277.4 1766 3641 | 277.5 981 3642 | 277.6 537 3643 | 277.6 368 3644 | 277.7 314 3645 | 277.8 259 3646 | 277.8 292 3647 | 277.9 908 3648 | 277.9 3080 3649 | 278.0 5963 3650 | 278.1 7293 3651 | 278.1 6264 3652 | 278.2 3907 3653 | 278.3 1880 3654 | 278.3 1011 3655 | 278.4 821 3656 | 278.4 802 3657 | 278.5 757 3658 | 278.6 831 3659 | 278.6 1195 3660 | 278.7 2588 3661 | 278.8 7749 3662 | 278.8 20030 3663 | 278.9 51143 3664 | 278.9 125120 3665 | 279.0 235254 3666 | 279.1 305402 3667 | 279.1 271768 3668 | 279.2 171549 3669 | 279.3 82219 3670 | 279.3 33158 3671 | 279.4 13036 3672 | 279.4 5694 3673 | 279.5 2951 3674 | 279.6 1680 3675 | 279.6 1007 3676 | 279.7 769 3677 | 279.8 857 3678 | 279.8 1382 3679 | 279.9 3020 3680 | 279.9 7242 3681 | 280.0 13545 3682 | 280.1 17503 3683 | 280.1 15318 3684 | 280.2 9095 3685 | 280.3 3863 3686 | 280.3 1622 3687 | 280.4 945 3688 | 280.4 567 3689 | 280.5 344 3690 | 280.6 376 3691 | 280.6 463 3692 | 280.7 754 3693 | 280.8 2150 3694 | 280.8 6220 3695 | 280.9 18678 3696 | 280.9 45468 3697 | 281.0 76409 3698 | 281.1 87642 3699 | 281.1 70398 3700 | 281.2 41096 3701 | 281.3 18781 3702 | 281.3 7633 3703 | 281.4 2990 3704 | 281.4 1113 3705 | 281.5 587 3706 | 281.6 537 3707 | 281.6 574 3708 | 281.7 649 3709 | 281.8 622 3710 | 281.8 697 3711 | 281.9 1409 3712 | 281.9 3597 3713 | 282.0 6188 3714 | 282.1 6857 3715 | 282.1 5397 3716 | 282.2 3207 3717 | 282.3 1468 3718 | 282.3 624 3719 | 282.4 267 3720 | 282.4 270 3721 | 282.5 341 3722 | 282.6 394 3723 | 282.6 795 3724 | 282.7 1745 3725 | 282.8 3753 3726 | 282.8 9324 3727 | 282.9 24618 3728 | 282.9 60250 3729 | 283.0 117094 3730 | 283.1 163120 3731 | 283.1 157550 3732 | 283.2 107336 3733 | 283.3 55125 3734 | 283.3 23400 3735 | 283.4 8679 3736 | 283.4 3403 3737 | 283.5 1844 3738 | 283.6 1134 3739 | 283.6 752 3740 | 283.7 638 3741 | 283.8 807 3742 | 283.8 1369 3743 | 283.9 2945 3744 | 283.9 6785 3745 | 284.0 12554 3746 | 284.1 16492 3747 | 284.1 14754 3748 | 284.2 9033 3749 | 284.3 4077 3750 | 284.3 1680 3751 | 284.4 796 3752 | 284.4 393 3753 | 284.5 193 3754 | 284.6 161 3755 | 284.6 353 3756 | 284.7 1004 3757 | 284.8 2459 3758 | 284.8 5929 3759 | 284.9 16134 3760 | 284.9 38196 3761 | 285.0 64578 3762 | 285.1 74350 3763 | 285.1 58351 3764 | 285.2 32191 3765 | 285.3 13938 3766 | 285.3 5738 3767 | 285.4 2365 3768 | 285.4 907 3769 | 285.5 366 3770 | 285.6 197 3771 | 285.6 190 3772 | 285.7 239 3773 | 285.8 346 3774 | 285.8 548 3775 | 285.9 1052 3776 | 285.9 2332 3777 | 286.0 4252 3778 | 286.1 5086 3779 | 286.1 3772 3780 | 286.2 1817 3781 | 286.3 822 3782 | 286.3 538 3783 | 286.4 350 3784 | 286.4 189 3785 | 286.5 117 3786 | 286.6 107 3787 | 286.6 184 3788 | 286.7 535 3789 | 286.8 1501 3790 | 286.8 4318 3791 | 286.9 13467 3792 | 286.9 34803 3793 | 287.0 63137 3794 | 287.1 79726 3795 | 287.1 71512 3796 | 287.2 46313 3797 | 287.3 22168 3798 | 287.3 8559 3799 | 287.4 3218 3800 | 287.4 1342 3801 | 287.5 567 3802 | 287.6 295 3803 | 287.6 190 3804 | 287.7 166 3805 | 287.8 267 3806 | 287.8 920 3807 | 287.9 3062 3808 | 287.9 7991 3809 | 288.0 14830 3810 | 288.1 18884 3811 | 288.1 16906 3812 | 288.2 11193 3813 | 288.3 5738 3814 | 288.3 2460 3815 | 288.4 1138 3816 | 288.4 695 3817 | 288.5 562 3818 | 288.6 708 3819 | 288.6 995 3820 | 288.7 1937 3821 | 288.8 5726 3822 | 288.8 17220 3823 | 288.9 50138 3824 | 288.9 131858 3825 | 289.0 263152 3826 | 289.1 363027 3827 | 289.1 342039 3828 | 289.2 227243 3829 | 289.3 114329 3830 | 289.3 48067 3831 | 289.4 19011 3832 | 289.4 8458 3833 | 289.5 4336 3834 | 289.6 2237 3835 | 289.6 1229 3836 | 289.7 954 3837 | 289.8 1155 3838 | 289.8 1452 3839 | 289.9 2837 3840 | 289.9 8178 3841 | 290.0 18065 3842 | 290.1 26286 3843 | 290.1 25898 3844 | 290.2 18082 3845 | 290.3 9297 3846 | 290.3 3752 3847 | 290.4 1479 3848 | 290.4 771 3849 | 290.5 547 3850 | 290.6 414 3851 | 290.6 454 3852 | 290.7 1160 3853 | 290.8 2963 3854 | 290.8 7999 3855 | 290.9 25001 3856 | 290.9 64971 3857 | 291.0 117949 3858 | 291.1 147906 3859 | 291.1 128374 3860 | 291.2 77037 3861 | 291.3 33438 3862 | 291.3 12448 3863 | 291.4 4498 3864 | 291.4 1587 3865 | 291.5 716 3866 | 291.6 470 3867 | 291.6 369 3868 | 291.7 475 3869 | 291.8 666 3870 | 291.8 1020 3871 | 291.9 1942 3872 | 291.9 4076 3873 | 292.0 7536 3874 | 292.1 9597 3875 | 292.1 8244 3876 | 292.2 5391 3877 | 292.3 2948 3878 | 292.3 1383 3879 | 292.4 704 3880 | 292.4 546 3881 | 292.5 552 3882 | 292.6 651 3883 | 292.6 1459 3884 | 292.7 3917 3885 | 292.8 8893 3886 | 292.8 22805 3887 | 292.9 64117 3888 | 292.9 152455 3889 | 293.0 275127 3890 | 293.1 362476 3891 | 293.1 343373 3892 | 293.2 235076 3893 | 293.3 120469 3894 | 293.3 50361 3895 | 293.4 19523 3896 | 293.4 7653 3897 | 293.5 3407 3898 | 293.6 1751 3899 | 293.6 910 3900 | 293.7 726 3901 | 293.8 870 3902 | 293.8 1418 3903 | 293.9 3977 3904 | 293.9 9971 3905 | 294.0 17283 3906 | 294.1 20951 3907 | 294.1 18581 3908 | 294.2 12836 3909 | 294.3 7484 3910 | 294.3 4049 3911 | 294.4 2231 3912 | 294.4 1191 3913 | 294.5 634 3914 | 294.6 622 3915 | 294.6 815 3916 | 294.7 918 3917 | 294.8 1257 3918 | 294.8 3057 3919 | 294.9 8571 3920 | 294.9 19731 3921 | 295.0 34674 3922 | 295.1 45237 3923 | 295.1 42166 3924 | 295.2 27528 3925 | 295.3 13204 3926 | 295.3 5403 3927 | 295.4 2280 3928 | 295.4 1196 3929 | 295.5 731 3930 | 295.6 477 3931 | 295.6 335 3932 | 295.7 301 3933 | 295.8 427 3934 | 295.8 537 3935 | 295.9 663 3936 | 295.9 1259 3937 | 296.0 2516 3938 | 296.1 3361 3939 | 296.1 2966 3940 | 296.2 2040 3941 | 296.3 1371 3942 | 296.3 950 3943 | 296.4 588 3944 | 296.4 289 3945 | 296.5 309 3946 | 296.6 640 3947 | 296.6 905 3948 | 296.7 1201 3949 | 296.8 2828 3950 | 296.8 7584 3951 | 296.9 18680 3952 | 296.9 44739 3953 | 297.0 85449 3954 | 297.1 113272 3955 | 297.1 101725 3956 | 297.2 63433 3957 | 297.3 29601 3958 | 297.3 11955 3959 | 297.4 4726 3960 | 297.4 2060 3961 | 297.5 1170 3962 | 297.6 727 3963 | 297.6 506 3964 | 297.7 560 3965 | 297.8 1265 3966 | 297.8 2704 3967 | 297.9 5912 3968 | 297.9 13719 3969 | 298.0 24912 3970 | 298.1 31021 3971 | 298.1 26591 3972 | 298.2 16224 3973 | 298.3 7355 3974 | 298.3 2744 3975 | 298.4 1109 3976 | 298.4 501 3977 | 298.5 185 3978 | 298.6 82 3979 | 298.6 159 3980 | 298.7 300 3981 | 298.8 493 3982 | 298.8 1026 3983 | 298.9 3033 3984 | 298.9 7299 3985 | 299.0 11693 3986 | 299.1 12873 3987 | 299.1 10172 3988 | 299.2 5828 3989 | 299.3 2425 3990 | 299.3 783 3991 | 299.4 297 3992 | 299.4 221 3993 | 299.5 214 3994 | 299.6 202 3995 | 299.6 129 3996 | 299.7 89 3997 | 299.8 200 3998 | 299.8 291 3999 | 299.9 329 4000 | 299.9 752 4001 | 300.0 1408 4002 | 300.1 1562 4003 | 300.1 1114 4004 | 300.2 525 4005 | 300.3 170 4006 | 300.3 58 4007 | 300.4 43 4008 | 300.4 162 4009 | 300.5 301 4010 | 300.6 326 4011 | 300.6 314 4012 | 300.7 335 4013 | 300.8 722 4014 | 300.8 1687 4015 | 300.9 3936 4016 | 300.9 10416 4017 | 301.0 22684 4018 | 301.1 34074 4019 | 301.1 34560 4020 | 301.2 24137 4021 | 301.3 12305 4022 | 301.3 5249 4023 | 301.4 2249 4024 | 301.4 1082 4025 | 301.5 647 4026 | 301.6 399 4027 | 301.6 231 4028 | 301.7 250 4029 | 301.8 375 4030 | 301.8 599 4031 | 301.9 1343 4032 | 301.9 3773 4033 | 302.0 7027 4034 | 302.1 8727 4035 | 302.1 8003 4036 | 302.2 5478 4037 | 302.3 2661 4038 | 302.3 1076 4039 | 302.4 536 4040 | 302.4 536 4041 | 302.5 746 4042 | 302.6 950 4043 | 302.6 1366 4044 | 302.7 3290 4045 | 302.8 9208 4046 | 302.8 24771 4047 | 302.9 65884 4048 | 302.9 167802 4049 | 303.0 354710 4050 | 303.1 543551 4051 | 303.1 574243 4052 | 303.2 421171 4053 | 303.3 224523 4054 | 303.3 94022 4055 | 303.4 34677 4056 | 303.4 13868 4057 | 303.5 6624 4058 | 303.6 3124 4059 | 303.6 1654 4060 | 303.7 1141 4061 | 303.8 1307 4062 | 303.8 2143 4063 | 303.9 4155 4064 | 303.9 10196 4065 | 304.0 20555 4066 | 304.1 28949 4067 | 304.1 29591 4068 | 304.2 22501 4069 | 304.3 12774 4070 | 304.3 5780 4071 | 304.4 2423 4072 | 304.4 1145 4073 | 304.5 793 4074 | 304.6 630 4075 | 304.6 599 4076 | 304.7 659 4077 | 304.8 1301 4078 | 304.8 4067 4079 | 304.9 11805 4080 | 304.9 27198 4081 | 305.0 51578 4082 | 305.1 76929 4083 | 305.1 81628 4084 | 305.2 59803 4085 | 305.3 32031 4086 | 305.3 13926 4087 | 305.4 5506 4088 | 305.4 2454 4089 | 305.5 1108 4090 | 305.6 493 4091 | 305.6 237 4092 | 305.7 253 4093 | 305.8 356 4094 | 305.8 605 4095 | 305.9 1392 4096 | 305.9 3325 4097 | 306.0 6345 4098 | 306.1 8461 4099 | 306.1 8167 4100 | 306.2 6079 4101 | 306.3 3443 4102 | 306.3 1466 4103 | 306.4 549 4104 | 306.4 240 4105 | 306.5 169 4106 | 306.6 215 4107 | 306.6 632 4108 | 306.7 1853 4109 | 306.8 4916 4110 | 306.8 13975 4111 | 306.9 39355 4112 | 306.9 96772 4113 | 307.0 187801 4114 | 307.1 261250 4115 | 307.1 250325 4116 | 307.2 167901 4117 | 307.3 84789 4118 | 307.3 35886 4119 | 307.4 13811 4120 | 307.4 5487 4121 | 307.5 2832 4122 | 307.6 1739 4123 | 307.6 1015 4124 | 307.7 619 4125 | 307.8 577 4126 | 307.8 1001 4127 | 307.9 2856 4128 | 307.9 7179 4129 | 308.0 12857 4130 | 308.1 16446 4131 | 308.1 15500 4132 | 308.2 11114 4133 | 308.3 6287 4134 | 308.3 2922 4135 | 308.4 1123 4136 | 308.4 355 4137 | 308.5 137 4138 | 308.6 192 4139 | 308.6 431 4140 | 308.7 667 4141 | 308.8 1306 4142 | 308.8 3681 4143 | 308.9 10173 4144 | 308.9 25021 4145 | 309.0 47828 4146 | 309.1 64298 4147 | 309.1 59312 4148 | 309.2 38446 4149 | 309.3 19033 4150 | 309.3 8289 4151 | 309.4 3457 4152 | 309.4 1598 4153 | 309.5 1092 4154 | 309.6 803 4155 | 309.6 493 4156 | 309.7 237 4157 | 309.8 92 4158 | 309.8 118 4159 | 309.9 406 4160 | 309.9 1296 4161 | 310.0 2920 4162 | 310.1 4209 4163 | 310.1 3957 4164 | 310.2 2623 4165 | 310.3 1460 4166 | 310.3 898 4167 | 310.4 642 4168 | 310.4 431 4169 | 310.5 330 4170 | 310.6 319 4171 | 310.6 442 4172 | 310.7 748 4173 | 310.8 1681 4174 | 310.8 4735 4175 | 310.9 11402 4176 | 310.9 26071 4177 | 311.0 52631 4178 | 311.1 81002 4179 | 311.1 88178 4180 | 311.2 67595 4181 | 311.3 38244 4182 | 311.3 17282 4183 | 311.4 6497 4184 | 311.4 2289 4185 | 311.5 880 4186 | 311.6 469 4187 | 311.6 419 4188 | 311.7 476 4189 | 311.8 546 4190 | 311.8 655 4191 | 311.9 1163 4192 | 311.9 2333 4193 | 312.0 3898 4194 | 312.1 5308 4195 | 312.1 5578 4196 | 312.2 4397 4197 | 312.3 2730 4198 | 312.3 1531 4199 | 312.4 968 4200 | 312.4 645 4201 | 312.5 380 4202 | 312.6 399 4203 | 312.6 734 4204 | 312.7 1341 4205 | 312.8 3416 4206 | 312.8 9935 4207 | 312.9 28044 4208 | 312.9 72542 4209 | 313.0 143987 4210 | 313.1 201681 4211 | 313.1 197290 4212 | 313.2 136654 4213 | 313.3 69827 4214 | 313.3 29234 4215 | 313.4 11846 4216 | 313.4 5253 4217 | 313.5 2476 4218 | 313.6 1155 4219 | 313.6 767 4220 | 313.7 763 4221 | 313.8 727 4222 | 313.8 1031 4223 | 313.9 2232 4224 | 313.9 4184 4225 | 314.0 7422 4226 | 314.1 11515 4227 | 314.1 12449 4228 | 314.2 8619 4229 | 314.3 4043 4230 | 314.3 1617 4231 | 314.4 826 4232 | 314.4 527 4233 | 314.5 231 4234 | 314.6 69 4235 | 314.6 52 4236 | 314.7 54 4237 | 314.8 62 4238 | 314.8 157 4239 | 314.9 339 4240 | 314.9 844 4241 | 315.0 1508 4242 | 315.1 1707 4243 | 315.1 1476 4244 | 315.2 1076 4245 | 315.3 614 4246 | 315.3 390 4247 | 315.4 297 4248 | 315.4 150 4249 | 315.5 52 4250 | 315.6 54 4251 | 315.6 182 4252 | 315.7 353 4253 | 315.8 618 4254 | 315.8 1068 4255 | 315.9 1941 4256 | 315.9 4396 4257 | 316.0 8561 4258 | 316.1 11776 4259 | 316.1 11275 4260 | 316.2 7483 4261 | 316.3 3492 4262 | 316.3 1463 4263 | 316.4 845 4264 | 316.4 520 4265 | 316.5 288 4266 | 316.6 217 4267 | 316.6 221 4268 | 316.7 296 4269 | 316.8 354 4270 | 316.8 342 4271 | 316.9 340 4272 | 316.9 424 4273 | 317.0 646 4274 | 317.1 1020 4275 | 317.1 1322 4276 | 317.2 1284 4277 | 317.3 1015 4278 | 317.3 787 4279 | 317.4 572 4280 | 317.4 307 4281 | 317.5 136 4282 | 317.6 121 4283 | 317.6 176 4284 | 317.7 210 4285 | 317.8 239 4286 | 317.8 295 4287 | 317.9 435 4288 | 317.9 558 4289 | 318.0 515 4290 | 318.1 585 4291 | 318.1 786 4292 | 318.2 736 4293 | 318.3 501 4294 | 318.3 303 4295 | 318.4 184 4296 | 318.4 240 4297 | 318.5 417 4298 | 318.6 535 4299 | 318.6 577 4300 | 318.7 705 4301 | 318.8 950 4302 | 318.8 1892 4303 | 318.9 4797 4304 | 318.9 10811 4305 | 319.0 20650 4306 | 319.1 30697 4307 | 319.1 32572 4308 | 319.2 24180 4309 | 319.3 13225 4310 | 319.3 6004 4311 | 319.4 2438 4312 | 319.4 941 4313 | 319.5 661 4314 | 319.6 680 4315 | 319.6 537 4316 | 319.7 543 4317 | 319.8 715 4318 | 319.8 751 4319 | 319.9 1419 4320 | 319.9 3383 4321 | 320.0 5667 4322 | 320.1 7106 4323 | 320.1 7077 4324 | 320.2 5366 4325 | 320.3 3121 4326 | 320.3 1660 4327 | 320.4 1090 4328 | 320.4 1060 4329 | 320.5 1292 4330 | 320.6 1744 4331 | 320.6 3033 4332 | 320.7 5756 4333 | 320.8 13258 4334 | 320.8 34797 4335 | 320.9 91295 4336 | 320.9 227694 4337 | 321.0 479229 4338 | 321.1 739574 4339 | 321.1 793716 4340 | 321.2 598328 4341 | 321.3 332973 4342 | 321.3 148910 4343 | 321.4 60482 4344 | 321.4 25212 4345 | 321.5 11070 4346 | 321.6 5096 4347 | 321.6 2940 4348 | 321.7 2487 4349 | 321.8 2602 4350 | 321.8 3123 4351 | 321.9 5092 4352 | 321.9 11146 4353 | 322.0 23494 4354 | 322.1 37279 4355 | 322.1 41482 4356 | 322.2 32454 4357 | 322.3 18586 4358 | 322.3 8740 4359 | 322.4 3969 4360 | 322.4 1879 4361 | 322.5 1126 4362 | 322.6 813 4363 | 322.6 593 4364 | 322.7 771 4365 | 322.8 1450 4366 | 322.8 3171 4367 | 322.9 7238 4368 | 322.9 17921 4369 | 323.0 38630 4370 | 323.1 60794 4371 | 323.1 67574 4372 | 323.2 53549 4373 | 323.3 31012 4374 | 323.3 14303 4375 | 323.4 6269 4376 | 323.4 2772 4377 | 323.5 990 4378 | 323.6 270 4379 | 323.6 189 4380 | 323.7 286 4381 | 323.8 376 4382 | 323.8 461 4383 | 323.9 843 4384 | 323.9 1734 4385 | 324.0 2979 4386 | 324.1 4186 4387 | 324.1 4643 4388 | 324.2 3779 4389 | 324.3 2200 4390 | 324.3 1037 4391 | 324.4 543 4392 | 324.4 326 4393 | 324.5 176 4394 | 324.6 68 4395 | 324.6 28 4396 | 324.7 225 4397 | 324.8 738 4398 | 324.8 1911 4399 | 324.9 5347 4400 | 324.9 13472 4401 | 325.0 27368 4402 | 325.1 40586 4403 | 325.1 41657 4404 | 325.2 30103 4405 | 325.3 16466 4406 | 325.3 7432 4407 | 325.4 3030 4408 | 325.4 1231 4409 | 325.5 634 4410 | 325.6 601 4411 | 325.6 531 4412 | 325.7 368 4413 | 325.8 236 4414 | 325.8 139 4415 | 325.9 229 4416 | 325.9 776 4417 | 326.0 1636 4418 | 326.1 2105 4419 | 326.1 1932 4420 | 326.2 1315 4421 | 326.3 563 4422 | 326.3 129 4423 | 326.4 19 4424 | 326.4 54 4425 | 326.5 141 4426 | 326.6 144 4427 | 326.6 72 4428 | 326.7 29 4429 | 326.8 43 4430 | 326.8 72 4431 | 326.9 72 4432 | 326.9 149 4433 | 327.0 354 4434 | 327.1 535 4435 | 327.1 556 4436 | 327.2 656 4437 | 327.3 801 4438 | 327.3 677 4439 | 327.4 384 4440 | 327.4 177 4441 | 327.5 74 4442 | 327.6 79 4443 | 327.6 133 4444 | 327.7 197 4445 | 327.8 184 4446 | 327.8 200 4447 | 327.9 297 4448 | 327.9 397 4449 | 328.0 448 4450 | 328.1 483 4451 | 328.1 571 4452 | 328.2 564 4453 | 328.3 361 4454 | 328.3 241 4455 | 328.4 215 4456 | 328.4 146 4457 | 328.5 84 4458 | 328.6 47 4459 | 328.6 13 4460 | 328.7 128 4461 | 328.8 329 4462 | 328.8 357 4463 | 328.9 316 4464 | 328.9 894 4465 | 329.0 2281 4466 | 329.1 3670 4467 | 329.1 4238 4468 | 329.2 3585 4469 | 329.3 2040 4470 | 329.3 778 4471 | 329.4 325 4472 | 329.4 232 4473 | 329.5 141 4474 | 329.6 116 4475 | 329.6 247 4476 | 329.7 382 4477 | 329.8 335 4478 | 329.8 176 4479 | 329.9 335 4480 | 329.9 984 4481 | 330.0 1534 4482 | 330.1 1584 4483 | 330.1 1409 4484 | 330.2 1068 4485 | 330.3 566 4486 | 330.3 249 4487 | 330.4 233 4488 | 330.4 382 4489 | 330.5 574 4490 | 330.6 906 4491 | 330.6 1795 4492 | 330.7 4037 4493 | 330.8 10475 4494 | 330.8 28199 4495 | 330.9 79803 4496 | 330.9 212647 4497 | 331.0 442926 4498 | 331.1 658096 4499 | 331.1 681815 4500 | 331.2 497432 4501 | 331.3 267666 4502 | 331.3 118477 4503 | 331.4 50303 4504 | 331.4 22211 4505 | 331.5 9869 4506 | 331.6 4631 4507 | 331.6 2717 4508 | 331.7 1994 4509 | 331.8 1918 4510 | 331.8 2566 4511 | 331.9 4711 4512 | 331.9 11133 4513 | 332.0 22976 4514 | 332.1 35046 4515 | 332.1 37792 4516 | 332.2 28398 4517 | 332.3 15375 4518 | 332.3 6808 4519 | 332.4 2847 4520 | 332.4 1347 4521 | 332.5 802 4522 | 332.6 517 4523 | 332.6 365 4524 | 332.7 247 4525 | 332.8 158 4526 | 332.8 154 4527 | 332.9 238 4528 | 332.9 285 4529 | 333.0 251 4530 | 333.1 242 4531 | 333.1 268 4532 | 333.2 246 4533 | 333.3 147 4534 | 333.3 81 4535 | 333.4 176 4536 | 333.4 271 4537 | 333.5 192 4538 | 333.6 59 4539 | 333.6 22 4540 | 333.7 104 4541 | 333.8 344 4542 | 333.8 731 4543 | 333.9 1424 4544 | 333.9 3052 4545 | 334.0 5891 4546 | 334.1 8301 4547 | 334.1 7995 4548 | 334.2 5401 4549 | 334.3 2820 4550 | 334.3 1313 4551 | 334.4 631 4552 | 334.4 329 4553 | 334.5 134 4554 | 334.6 35 4555 | 334.6 128 4556 | 334.7 366 4557 | 334.8 431 4558 | 334.8 306 4559 | 334.9 266 4560 | 334.9 271 4561 | 335.0 371 4562 | 335.1 681 4563 | 335.1 906 4564 | 335.2 777 4565 | 335.3 426 4566 | 335.3 138 4567 | 335.4 30 4568 | 335.4 15 4569 | 335.5 28 4570 | 335.6 42 4571 | 335.6 74 4572 | 335.7 151 4573 | 335.8 179 4574 | 335.8 108 4575 | 335.9 42 4576 | 335.9 54 4577 | 336.0 110 4578 | 336.1 119 4579 | 336.1 68 4580 | 336.2 33 4581 | 336.3 20 4582 | 336.3 6 4583 | 336.4 1 4584 | 336.4 61 4585 | 336.5 130 4586 | 336.6 103 4587 | 336.6 76 4588 | 336.7 176 4589 | 336.8 405 4590 | 336.8 1142 4591 | 336.9 3286 4592 | 336.9 7530 4593 | 337.0 14329 4594 | 337.1 21380 4595 | 337.1 23401 4596 | 337.2 18490 4597 | 337.3 10571 4598 | 337.3 4566 4599 | 337.4 1974 4600 | 337.4 1100 4601 | 337.5 591 4602 | 337.6 296 4603 | 337.6 183 4604 | 337.7 182 4605 | 337.8 256 4606 | 337.8 324 4607 | 337.9 365 4608 | 337.9 989 4609 | 338.0 2552 4610 | 338.1 4111 4611 | 338.1 4312 4612 | 338.2 3302 4613 | 338.3 2211 4614 | 338.3 1451 4615 | 338.4 989 4616 | 338.4 823 4617 | 338.5 854 4618 | 338.6 1099 4619 | 338.6 1752 4620 | 338.7 3307 4621 | 338.8 7558 4622 | 338.8 17967 4623 | 338.9 47016 4624 | 338.9 117492 4625 | 339.0 247901 4626 | 339.1 398297 4627 | 339.1 456801 4628 | 339.2 370201 4629 | 339.3 220521 4630 | 339.3 104708 4631 | 339.4 43932 4632 | 339.4 18070 4633 | 339.5 8277 4634 | 339.6 4660 4635 | 339.6 3114 4636 | 339.7 2310 4637 | 339.8 1906 4638 | 339.8 2051 4639 | 339.9 3173 4640 | 339.9 6739 4641 | 340.0 13253 4642 | 340.1 20312 4643 | 340.1 23657 4644 | 340.2 20428 4645 | 340.3 12962 4646 | 340.3 6252 4647 | 340.4 2528 4648 | 340.4 1110 4649 | 340.5 537 4650 | 340.6 213 4651 | 340.6 195 4652 | 340.7 407 4653 | 340.8 701 4654 | 340.8 1005 4655 | 340.9 1666 4656 | 340.9 3321 4657 | 341.0 6064 4658 | 341.1 8623 4659 | 341.1 9064 4660 | 341.2 6776 4661 | 341.3 3581 4662 | 341.3 1496 4663 | 341.4 683 4664 | 341.4 398 4665 | 341.5 274 4666 | 341.6 211 4667 | 341.6 145 4668 | 341.7 136 4669 | 341.8 189 4670 | 341.8 144 4671 | 341.9 97 4672 | 341.9 266 4673 | 342.0 591 4674 | 342.1 806 4675 | 342.1 779 4676 | 342.2 629 4677 | 342.3 428 4678 | 342.3 220 4679 | 342.4 95 4680 | 342.4 74 4681 | 342.5 84 4682 | 342.6 103 4683 | 342.6 125 4684 | 342.7 109 4685 | 342.8 208 4686 | 342.8 448 4687 | 342.9 680 4688 | 342.9 882 4689 | 343.0 1017 4690 | 343.1 1123 4691 | 343.1 1245 4692 | 343.2 1110 4693 | 343.3 673 4694 | 343.3 263 4695 | 343.4 78 4696 | 343.4 23 4697 | 343.5 3 4698 | 343.6 0 4699 | 343.6 22 4700 | 343.7 56 4701 | 343.8 52 4702 | 343.8 26 4703 | 343.9 22 4704 | 343.9 27 4705 | 344.0 20 4706 | 344.1 23 4707 | 344.1 35 4708 | 344.2 43 4709 | 344.3 44 4710 | 344.3 37 4711 | 344.4 24 4712 | 344.4 13 4713 | 344.5 3 4714 | 344.6 0 4715 | 344.6 0 4716 | 344.7 5 4717 | 344.8 60 4718 | 344.8 127 4719 | 344.9 104 4720 | 344.9 35 4721 | 345.0 62 4722 | 345.1 139 4723 | 345.1 122 4724 | 345.2 42 4725 | 345.3 7 4726 | 345.3 36 4727 | 345.4 106 4728 | 345.4 118 4729 | 345.5 57 4730 | 345.6 11 4731 | 345.6 2 4732 | 345.7 7 4733 | 345.8 41 4734 | 345.8 90 4735 | 345.9 128 4736 | 345.9 133 4737 | 346.0 170 4738 | 346.1 313 4739 | 346.1 491 4740 | 346.2 581 4741 | 346.3 539 4742 | 346.3 408 4743 | 346.4 290 4744 | 346.4 214 4745 | 346.5 187 4746 | 346.6 239 4747 | 346.6 297 4748 | 346.7 356 4749 | 346.8 423 4750 | 346.8 531 4751 | 346.9 1293 4752 | 346.9 2572 4753 | 347.0 3297 4754 | 347.1 3452 4755 | 347.1 3284 4756 | 347.2 2475 4757 | 347.3 1517 4758 | 347.3 959 4759 | 347.4 557 4760 | 347.4 220 4761 | 347.5 137 4762 | 347.6 168 4763 | 347.6 185 4764 | 347.7 215 4765 | 347.8 263 4766 | 347.8 627 4767 | 347.9 1559 4768 | 347.9 3166 4769 | 348.0 5825 4770 | 348.1 8516 4771 | 348.1 8699 4772 | 348.2 6233 4773 | 348.3 3700 4774 | 348.3 2495 4775 | 348.4 2145 4776 | 348.4 2225 4777 | 348.5 3248 4778 | 348.6 5380 4779 | 348.6 9238 4780 | 348.7 20280 4781 | 348.8 50593 4782 | 348.8 126408 4783 | 348.9 319837 4784 | 348.9 769027 4785 | 349.0 1537510 4786 | 349.1 2295792 4787 | 349.1 2449751 4788 | 349.2 1877695 4789 | 349.3 1080925 4790 | 349.3 505986 4791 | 349.4 212273 4792 | 349.4 88111 4793 | 349.5 39691 4794 | 349.6 21392 4795 | 349.6 13296 4796 | 349.7 9041 4797 | 349.8 7754 4798 | 349.8 10089 4799 | 349.9 19411 4800 | 349.9 41478 4801 | 350.0 82520 4802 | 350.1 125880 4803 | 350.1 133269 4804 | 350.2 98614 4805 | 350.3 54695 4806 | 350.3 24776 4807 | 350.4 10007 4808 | 350.4 4200 4809 | 350.5 2189 4810 | 350.6 1518 4811 | 350.6 1191 4812 | 350.7 911 4813 | 350.8 581 4814 | 350.8 538 4815 | 350.9 786 4816 | 350.9 760 4817 | 351.0 472 4818 | 351.1 368 4819 | 351.1 496 4820 | 351.2 516 4821 | 351.3 350 4822 | 351.3 324 4823 | 351.4 369 4824 | 351.4 307 4825 | 351.5 223 4826 | 351.6 222 4827 | 351.6 222 4828 | 351.7 147 4829 | 351.8 126 4830 | 351.8 203 4831 | 351.9 314 4832 | 351.9 509 4833 | 352.0 631 4834 | 352.1 624 4835 | 352.1 547 4836 | 352.2 326 4837 | 352.3 129 4838 | 352.3 79 4839 | 352.4 80 4840 | 352.4 102 4841 | 352.5 98 4842 | 352.6 50 4843 | 352.6 12 4844 | 352.7 2 4845 | 352.8 25 4846 | 352.8 57 4847 | 352.9 78 4848 | 352.9 116 4849 | 353.0 120 4850 | 353.1 66 4851 | 353.1 196 4852 | 353.2 435 4853 | 353.3 410 4854 | 353.3 194 4855 | 353.4 76 4856 | 353.4 60 4857 | 353.5 86 4858 | 353.6 117 4859 | 353.6 144 4860 | 353.7 132 4861 | 353.8 109 4862 | 353.8 183 4863 | 353.9 279 4864 | 353.9 294 4865 | 354.0 330 4866 | 354.1 392 4867 | 354.1 353 4868 | 354.2 223 4869 | 354.3 115 4870 | 354.3 69 4871 | 354.4 49 4872 | 354.4 40 4873 | 354.5 34 4874 | 354.6 31 4875 | 354.6 33 4876 | 354.7 154 4877 | 354.8 403 4878 | 354.8 651 4879 | 354.9 1182 4880 | 354.9 2275 4881 | 355.0 3622 4882 | 355.1 4881 4883 | 355.1 5457 4884 | 355.2 4720 4885 | 355.3 3173 4886 | 355.3 1761 4887 | 355.4 847 4888 | 355.4 473 4889 | 355.5 338 4890 | 355.6 188 4891 | 355.6 154 4892 | 355.7 211 4893 | 355.8 172 4894 | 355.8 143 4895 | 355.9 314 4896 | 355.9 516 4897 | 356.0 601 4898 | 356.1 777 4899 | 356.1 980 4900 | 356.2 846 4901 | 356.3 452 4902 | 356.3 160 4903 | 356.4 67 4904 | 356.4 52 4905 | 356.5 55 4906 | 356.6 79 4907 | 356.6 154 4908 | 356.7 231 4909 | 356.8 367 4910 | 356.8 1004 4911 | 356.9 2314 4912 | 356.9 4625 4913 | 357.0 8901 4914 | 357.1 13825 4915 | 357.1 15860 4916 | 357.2 13617 4917 | 357.3 8938 4918 | 357.3 4558 4919 | 357.4 1969 4920 | 357.4 866 4921 | 357.5 579 4922 | 357.6 575 4923 | 357.6 445 4924 | 357.7 232 4925 | 357.8 217 4926 | 357.8 387 4927 | 357.9 493 4928 | 357.9 516 4929 | 358.0 638 4930 | 358.1 924 4931 | 358.1 1184 4932 | 358.2 1109 4933 | 358.3 725 4934 | 358.3 417 4935 | 358.4 286 4936 | 358.4 184 4937 | 358.5 81 4938 | 358.6 99 4939 | 358.6 133 4940 | 358.7 167 4941 | 358.8 224 4942 | 358.8 219 4943 | 358.9 205 4944 | 358.9 333 4945 | 359.0 618 4946 | 359.1 831 4947 | 359.1 745 4948 | 359.2 503 4949 | 359.3 425 4950 | 359.3 460 4951 | 359.4 369 4952 | 359.4 242 4953 | 359.5 200 4954 | 359.6 188 4955 | 359.6 193 4956 | 359.7 170 4957 | 359.8 121 4958 | 359.8 147 4959 | 359.9 224 4960 | 359.9 201 4961 | 360.0 89 4962 | 360.1 65 4963 | 360.1 122 4964 | 360.2 147 4965 | 360.3 120 4966 | 360.3 103 4967 | 360.4 87 4968 | 360.4 42 4969 | 360.5 29 4970 | 360.6 49 4971 | 360.6 92 4972 | 360.7 167 4973 | 360.8 197 4974 | 360.8 159 4975 | 360.9 107 4976 | 360.9 71 4977 | 361.0 78 4978 | 361.1 163 4979 | 361.1 220 4980 | 361.2 151 4981 | 361.3 71 4982 | 361.3 88 4983 | 361.4 160 4984 | 361.4 253 4985 | 361.5 259 4986 | 361.6 148 4987 | 361.6 59 4988 | 361.7 59 4989 | 361.8 63 4990 | 361.8 31 4991 | 361.9 42 4992 | 361.9 101 4993 | 362.0 112 4994 | 362.1 183 4995 | 362.1 333 4996 | 362.2 321 4997 | 362.3 158 4998 | 362.3 59 4999 | 362.4 34 5000 | 362.4 19 5001 | 362.5 4 5002 | 362.6 2 5003 | 362.6 38 5004 | 362.7 77 5005 | 362.8 122 5006 | 362.8 164 5007 | 362.9 117 5008 | 362.9 42 5009 | 363.0 30 5010 | 363.1 18 5011 | 363.1 4 5012 | 363.2 1 5013 | 363.3 0 5014 | 363.3 50 5015 | 363.4 115 5016 | 363.4 105 5017 | 363.5 55 5018 | 363.6 23 5019 | 363.6 5 5020 | 363.7 2 5021 | 363.8 2 5022 | 363.8 0 5023 | 363.9 0 5024 | 363.9 0 5025 | 364.0 0 5026 | 364.1 26 5027 | 364.1 79 5028 | 364.2 87 5029 | 364.3 40 5030 | 364.3 13 5031 | 364.4 48 5032 | 364.4 79 5033 | 364.5 70 5034 | 364.6 54 5035 | 364.6 52 5036 | 364.7 93 5037 | 364.8 127 5038 | 364.8 77 5039 | 364.9 18 5040 | 364.9 13 5041 | 365.0 42 5042 | 365.1 138 5043 | 365.1 232 5044 | 365.2 278 5045 | 365.3 420 5046 | 365.3 495 5047 | 365.4 292 5048 | 365.4 75 5049 | 365.5 74 5050 | 365.6 149 5051 | 365.6 172 5052 | 365.7 207 5053 | 365.8 352 5054 | 365.8 643 5055 | 365.9 1197 5056 | 365.9 2350 5057 | 366.0 4105 5058 | 366.1 5391 5059 | 366.1 5151 5060 | 366.2 3890 5061 | 366.3 2717 5062 | 366.3 1999 5063 | 366.4 1680 5064 | 366.4 1732 5065 | 366.5 2065 5066 | 366.6 3021 5067 | 366.6 5199 5068 | 366.7 10187 5069 | 366.8 24570 5070 | 366.8 60511 5071 | 366.9 149231 5072 | 366.9 357226 5073 | 367.0 726181 5074 | 367.1 1124073 5075 | 367.1 1255560 5076 | 367.2 1003649 5077 | 367.3 595347 5078 | 367.3 285799 5079 | 367.4 123519 5080 | 367.4 52323 5081 | 367.5 23757 5082 | 367.6 12767 5083 | 367.6 8270 5084 | 367.7 6277 5085 | 367.8 5689 5086 | 367.8 7149 5087 | 367.9 12134 5088 | 367.9 22715 5089 | 368.0 42802 5090 | 368.1 67225 5091 | 368.1 76580 5092 | 368.2 61487 5093 | 368.3 36626 5094 | 368.3 18154 5095 | 368.4 8672 5096 | 368.4 4579 5097 | 368.5 2906 5098 | 368.6 1820 5099 | 368.6 1113 5100 | 368.7 802 5101 | 368.8 593 5102 | 368.8 485 5103 | 368.9 526 5104 | 368.9 681 5105 | 369.0 841 5106 | 369.1 1195 5107 | 369.1 1649 5108 | 369.2 1765 5109 | 369.3 1583 5110 | 369.3 1341 5111 | 369.4 970 5112 | 369.4 541 5113 | 369.5 307 5114 | 369.6 247 5115 | 369.6 186 5116 | 369.7 195 5117 | 369.8 363 5118 | 369.8 459 5119 | 369.9 360 5120 | 369.9 297 5121 | 370.0 301 5122 | 370.1 215 5123 | 370.1 137 5124 | 370.2 175 5125 | 370.3 255 5126 | 370.3 219 5127 | 370.4 144 5128 | 370.4 232 5129 | 370.5 340 5130 | 370.6 437 5131 | 370.6 531 5132 | 370.7 436 5133 | 370.8 276 5134 | 370.8 229 5135 | 370.9 229 5136 | 370.9 333 5137 | 371.0 494 5138 | 371.1 634 5139 | 371.1 754 5140 | 371.2 834 5141 | 371.3 867 5142 | 371.3 724 5143 | 371.4 377 5144 | 371.4 151 5145 | 371.5 160 5146 | 371.6 204 5147 | 371.6 201 5148 | 371.7 164 5149 | 371.8 117 5150 | 371.8 109 5151 | 371.9 106 5152 | 371.9 126 5153 | 372.0 200 5154 | 372.1 301 5155 | 372.1 371 5156 | 372.2 337 5157 | 372.3 207 5158 | 372.3 84 5159 | 372.4 27 5160 | 372.4 28 5161 | 372.5 58 5162 | 372.6 102 5163 | 372.6 100 5164 | 372.7 74 5165 | 372.8 166 5166 | 372.8 280 5167 | 372.9 254 5168 | 372.9 440 5169 | 373.0 692 5170 | 373.1 525 5171 | 373.1 258 5172 | 373.2 174 5173 | 373.3 112 5174 | 373.3 63 5175 | 373.4 54 5176 | 373.4 66 5177 | 373.5 72 5178 | 373.6 84 5179 | 373.6 60 5180 | 373.7 16 5181 | 373.8 28 5182 | 373.8 168 5183 | 373.9 339 5184 | 373.9 583 5185 | 374.0 811 5186 | 374.1 638 5187 | 374.1 264 5188 | 374.2 112 5189 | 374.3 91 5190 | 374.3 99 5191 | 374.4 81 5192 | 374.4 84 5193 | 374.5 128 5194 | 374.6 116 5195 | 374.6 63 5196 | 374.7 49 5197 | 374.8 61 5198 | 374.8 68 5199 | 374.9 82 5200 | 374.9 110 5201 | 375.0 149 5202 | 375.1 195 5203 | 375.1 225 5204 | 375.2 241 5205 | 375.3 252 5206 | 375.3 206 5207 | 375.4 174 5208 | 375.4 683 5209 | 375.5 1460 5210 | 375.6 1537 5211 | 375.6 1273 5212 | 375.7 1196 5213 | 375.8 1002 5214 | 375.8 732 5215 | 375.9 465 5216 | 375.9 198 5217 | 376.0 56 5218 | 376.1 55 5219 | 376.1 123 5220 | 376.2 128 5221 | 376.3 76 5222 | 376.3 79 5223 | 376.4 167 5224 | 376.4 216 5225 | 376.5 157 5226 | 376.6 82 5227 | 376.6 37 5228 | 376.7 22 5229 | 376.8 44 5230 | 376.8 63 5231 | 376.9 111 5232 | 376.9 136 5233 | 377.0 76 5234 | 377.1 14 5235 | 377.1 2 5236 | 377.2 18 5237 | 377.3 48 5238 | 377.3 93 5239 | 377.4 116 5240 | 377.4 83 5241 | 377.5 46 5242 | 377.6 134 5243 | 377.6 374 5244 | 377.7 481 5245 | 377.8 300 5246 | 377.8 103 5247 | 377.9 30 5248 | 377.9 5 5249 | 378.0 0 5250 | 378.1 0 5251 | 378.1 4 5252 | 378.2 8 5253 | 378.3 9 5254 | 378.3 48 5255 | 378.4 102 5256 | 378.4 109 5257 | 378.5 107 5258 | 378.6 93 5259 | 378.6 42 5260 | 378.7 18 5261 | 378.8 23 5262 | 378.8 15 5263 | 378.9 6 5264 | 378.9 8 5265 | 379.0 5 5266 | 379.1 1 5267 | 379.1 48 5268 | 379.2 103 5269 | 379.3 71 5270 | 379.3 15 5271 | 379.4 2 5272 | 379.4 0 5273 | 379.5 0 5274 | 379.6 0 5275 | 379.6 3 5276 | 379.7 16 5277 | 379.8 24 5278 | 379.8 56 5279 | 379.9 109 5280 | 379.9 135 5281 | 380.0 166 5282 | 380.1 174 5283 | 380.1 100 5284 | 380.2 26 5285 | 380.3 23 5286 | 380.3 56 5287 | 380.4 62 5288 | 380.4 30 5289 | 380.5 6 5290 | 380.6 1 5291 | 380.6 6 5292 | 380.7 12 5293 | 380.8 8 5294 | 380.8 1 5295 | 380.9 0 5296 | 380.9 50 5297 | 381.0 117 5298 | 381.1 99 5299 | 381.1 40 5300 | 381.2 54 5301 | 381.3 87 5302 | 381.3 57 5303 | 381.4 11 5304 | 381.4 2 5305 | 381.5 0 5306 | 381.6 12 5307 | 381.6 24 5308 | 381.7 21 5309 | 381.8 37 5310 | 381.8 57 5311 | 381.9 35 5312 | 381.9 7 5313 | 382.0 1 5314 | 382.1 0 5315 | 382.1 25 5316 | 382.2 72 5317 | 382.3 85 5318 | 382.3 75 5319 | 382.4 109 5320 | 382.4 155 5321 | 382.5 190 5322 | 382.6 327 5323 | 382.6 485 5324 | 382.7 416 5325 | 382.8 256 5326 | 382.8 265 5327 | 382.9 318 5328 | 382.9 359 5329 | 383.0 561 5330 | 383.1 748 5331 | 383.1 642 5332 | 383.2 528 5333 | 383.3 510 5334 | 383.3 348 5335 | 383.4 199 5336 | 383.4 261 5337 | 383.5 386 5338 | 383.6 575 5339 | 383.6 769 5340 | 383.7 751 5341 | 383.8 585 5342 | 383.8 529 5343 | 383.9 1000 5344 | 383.9 2359 5345 | 384.0 4338 5346 | 384.1 5726 5347 | 384.1 5656 5348 | 384.2 4420 5349 | 384.3 2841 5350 | 384.3 1514 5351 | 384.4 761 5352 | 384.4 617 5353 | 384.5 920 5354 | 384.6 1119 5355 | 384.6 1236 5356 | 384.7 2452 5357 | 384.8 6234 5358 | 384.8 16353 5359 | 384.9 43317 5360 | 384.9 108915 5361 | 385.0 237349 5362 | 385.1 393936 5363 | 385.1 466227 5364 | 385.2 392782 5365 | 385.3 244266 5366 | 385.3 121068 5367 | 385.4 54511 5368 | 385.4 25148 5369 | 385.5 12475 5370 | 385.6 7232 5371 | 385.6 4611 5372 | 385.7 2954 5373 | 385.8 1975 5374 | 385.8 1965 5375 | 385.9 3321 5376 | 385.9 6987 5377 | 386.0 14089 5378 | 386.1 22179 5379 | 386.1 25368 5380 | 386.2 21260 5381 | 386.3 13876 5382 | 386.3 7920 5383 | 386.4 4393 5384 | 386.4 2565 5385 | 386.5 1636 5386 | 386.6 1114 5387 | 386.6 673 5388 | 386.7 458 5389 | 386.8 583 5390 | 386.8 568 5391 | 386.9 374 5392 | 386.9 339 5393 | 387.0 482 5394 | 387.1 575 5395 | 387.1 565 5396 | 387.2 746 5397 | 387.3 897 5398 | 387.3 646 5399 | 387.4 515 5400 | 387.4 676 5401 | 387.5 586 5402 | 387.6 398 5403 | 387.6 465 5404 | 387.7 567 5405 | 387.8 558 5406 | 387.8 591 5407 | 387.9 642 5408 | 387.9 609 5409 | 388.0 467 5410 | 388.1 381 5411 | 388.1 449 5412 | 388.2 546 5413 | 388.3 563 5414 | 388.3 871 5415 | 388.4 1267 5416 | 388.4 1048 5417 | 388.5 523 5418 | 388.6 280 5419 | 388.6 160 5420 | 388.7 88 5421 | 388.8 89 5422 | 388.8 145 5423 | 388.9 248 5424 | 388.9 293 5425 | 389.0 239 5426 | 389.1 264 5427 | 389.1 359 5428 | 389.2 303 5429 | 389.3 159 5430 | 389.3 152 5431 | 389.4 285 5432 | 389.4 401 5433 | 389.5 426 5434 | 389.6 463 5435 | 389.6 710 5436 | 389.7 1118 5437 | 389.8 1238 5438 | 389.8 1229 5439 | 389.9 1545 5440 | 389.9 1950 5441 | 390.0 2067 5442 | 390.1 1911 5443 | 390.1 1835 5444 | 390.2 2032 5445 | 390.3 2035 5446 | 390.3 2004 5447 | 390.4 2335 5448 | 390.4 3213 5449 | 390.5 4413 5450 | 390.6 5024 5451 | 390.6 5209 5452 | 390.7 6079 5453 | 390.8 8110 5454 | 390.8 11900 5455 | 390.9 17943 5456 | 390.9 27169 5457 | 391.0 42097 5458 | 391.1 61576 5459 | 391.1 75541 5460 | 391.2 71272 5461 | 391.3 48994 5462 | 391.3 24363 5463 | 391.4 9801 5464 | 391.4 4169 5465 | 391.5 2125 5466 | 391.6 1260 5467 | 391.6 1413 5468 | 391.7 2125 5469 | 391.8 2406 5470 | 391.8 2845 5471 | 391.9 4893 5472 | 391.9 8038 5473 | 392.0 11976 5474 | 392.1 16884 5475 | 392.1 20573 5476 | 392.2 19462 5477 | 392.3 13450 5478 | 392.3 6841 5479 | 392.4 2873 5480 | 392.4 1042 5481 | 392.5 385 5482 | 392.6 269 5483 | 392.6 283 5484 | 392.7 254 5485 | 392.8 357 5486 | 392.8 866 5487 | 392.9 1546 5488 | 392.9 1826 5489 | 393.0 1705 5490 | 393.1 2021 5491 | 393.1 2907 5492 | 393.2 3266 5493 | 393.3 2569 5494 | 393.3 1419 5495 | 393.4 533 5496 | 393.4 147 5497 | 393.5 86 5498 | 393.6 168 5499 | 393.6 223 5500 | 393.7 179 5501 | 393.8 110 5502 | 393.8 71 5503 | 393.9 55 5504 | 393.9 76 5505 | 394.0 240 5506 | 394.1 481 5507 | 394.1 671 5508 | 394.2 725 5509 | 394.3 563 5510 | 394.3 332 5511 | 394.4 187 5512 | 394.4 147 5513 | 394.5 242 5514 | 394.6 282 5515 | 394.6 210 5516 | 394.7 187 5517 | 394.8 162 5518 | 394.8 73 5519 | 394.9 97 5520 | 394.9 186 5521 | 395.0 138 5522 | 395.1 82 5523 | 395.1 136 5524 | 395.2 215 5525 | 395.3 230 5526 | 395.3 155 5527 | 395.4 135 5528 | 395.4 161 5529 | 395.5 97 5530 | 395.6 42 5531 | 395.6 56 5532 | 395.7 55 5533 | 395.8 26 5534 | 395.8 25 5535 | 395.9 40 5536 | 395.9 39 5537 | 396.0 31 5538 | 396.1 20 5539 | 396.1 55 5540 | 396.2 103 5541 | 396.3 70 5542 | 396.3 15 5543 | 396.4 2 5544 | 396.4 0 5545 | 396.5 0 5546 | 396.6 0 5547 | 396.6 7 5548 | 396.7 21 5549 | 396.8 26 5550 | 396.8 16 5551 | 396.9 5 5552 | 396.9 1 5553 | 397.0 0 5554 | 397.1 0 5555 | 397.1 0 5556 | 397.2 12 5557 | 397.3 42 5558 | 397.3 51 5559 | 397.4 31 5560 | 397.4 13 5561 | 397.5 6 5562 | 397.6 1 5563 | 397.6 0 5564 | 397.7 0 5565 | 397.8 0 5566 | 397.8 7 5567 | 397.9 15 5568 | 397.9 10 5569 | 398.0 3 5570 | 398.1 7 5571 | 398.1 102 5572 | 398.2 205 5573 | 398.3 153 5574 | 398.3 56 5575 | 398.4 44 5576 | 398.4 46 5577 | 398.5 30 5578 | 398.6 29 5579 | 398.6 95 5580 | 398.7 144 5581 | 398.8 94 5582 | 398.8 27 5583 | 398.9 7 5584 | 398.9 6 5585 | 399.0 17 5586 | 399.1 43 5587 | 399.1 58 5588 | 399.2 33 5589 | 399.3 6 5590 | 399.3 1 5591 | 399.4 0 5592 | 399.4 53 5593 | 399.5 120 5594 | 399.6 102 5595 | 399.6 48 5596 | 399.7 33 5597 | 399.8 59 5598 | 399.8 102 5599 | 399.9 154 5600 | 399.9 172 5601 | 400.0 98 5602 | 400.1 18 5603 | 400.1 2 5604 | 400.2 0 5605 | 400.3 0 5606 | 400.3 0 5607 | 400.4 0 5608 | 400.4 0 5609 | 400.5 0 5610 | 400.6 0 5611 | 400.6 0 5612 | 400.7 0 5613 | 400.8 0 5614 | 400.8 0 5615 | 400.9 0 5616 | 400.9 4 5617 | 401.0 11 5618 | 401.1 11 5619 | 401.1 4 5620 | 401.2 23 5621 | 401.3 57 5622 | 401.3 51 5623 | 401.4 18 5624 | 401.4 3 5625 | 401.5 3 5626 | 401.6 18 5627 | 401.6 47 5628 | 401.7 55 5629 | 401.8 31 5630 | 401.8 60 5631 | 401.9 116 5632 | 401.9 88 5633 | 402.0 53 5634 | 402.1 129 5635 | 402.1 419 5636 | 402.2 676 5637 | 402.3 533 5638 | 402.3 270 5639 | 402.4 206 5640 | 402.4 193 5641 | 402.5 174 5642 | 402.6 310 5643 | 402.6 830 5644 | 402.7 2174 5645 | 402.8 5531 5646 | 402.8 12772 5647 | 402.9 29976 5648 | 402.9 70979 5649 | 403.0 151582 5650 | 403.1 256227 5651 | 403.1 321948 5652 | 403.2 295431 5653 | 403.3 200582 5654 | 403.3 106227 5655 | 403.4 49152 5656 | 403.4 22615 5657 | 403.5 11156 5658 | 403.6 5729 5659 | 403.6 3173 5660 | 403.7 1897 5661 | 403.8 1270 5662 | 403.8 1068 5663 | 403.9 1243 5664 | 403.9 1750 5665 | 404.0 3177 5666 | 404.1 5834 5667 | 404.1 8050 5668 | 404.2 7628 5669 | 404.3 5019 5670 | 404.3 2479 5671 | 404.4 1180 5672 | 404.4 777 5673 | 404.5 579 5674 | 404.6 326 5675 | 404.6 154 5676 | 404.7 200 5677 | 404.8 318 5678 | 404.8 245 5679 | 404.9 82 5680 | 404.9 22 5681 | 405.0 24 5682 | 405.1 44 5683 | 405.1 125 5684 | 405.2 313 5685 | 405.3 447 5686 | 405.3 435 5687 | 405.4 351 5688 | 405.4 225 5689 | 405.5 101 5690 | 405.6 31 5691 | 405.6 27 5692 | 405.7 54 5693 | 405.8 70 5694 | 405.8 83 5695 | 405.9 77 5696 | 405.9 42 5697 | 406.0 60 5698 | 406.1 119 5699 | 406.1 122 5700 | 406.2 104 5701 | 406.3 101 5702 | 406.3 71 5703 | 406.4 35 5704 | 406.4 21 5705 | 406.5 21 5706 | 406.6 17 5707 | 406.6 41 5708 | 406.7 94 5709 | 406.8 90 5710 | 406.8 36 5711 | 406.9 6 5712 | 406.9 6 5713 | 407.0 11 5714 | 407.1 46 5715 | 407.1 122 5716 | 407.2 192 5717 | 407.3 262 5718 | 407.3 286 5719 | 407.4 186 5720 | 407.4 60 5721 | 407.5 10 5722 | 407.6 28 5723 | 407.6 72 5724 | 407.7 69 5725 | 407.8 27 5726 | 407.8 4 5727 | 407.9 11 5728 | 407.9 21 5729 | 408.0 34 5730 | 408.1 54 5731 | 408.1 50 5732 | 408.2 22 5733 | 408.3 16 5734 | 408.3 34 5735 | 408.4 76 5736 | 408.4 109 5737 | 408.5 82 5738 | 408.6 30 5739 | 408.6 7 5740 | 408.7 1 5741 | 408.8 14 5742 | 408.8 36 5743 | 408.9 34 5744 | 408.9 13 5745 | 409.0 2 5746 | 409.1 0 5747 | 409.1 31 5748 | 409.2 66 5749 | 409.3 45 5750 | 409.3 9 5751 | 409.4 89 5752 | 409.4 203 5753 | 409.5 250 5754 | 409.6 292 5755 | 409.6 267 5756 | 409.7 129 5757 | 409.8 32 5758 | 409.8 4 5759 | 409.9 4 5760 | 409.9 11 5761 | 410.0 11 5762 | 410.1 4 5763 | 410.1 164 5764 | 410.2 439 5765 | 410.3 451 5766 | 410.3 217 5767 | 410.4 69 5768 | 410.4 56 5769 | 410.5 70 5770 | 410.6 49 5771 | 410.6 18 5772 | 410.7 5 5773 | 410.8 1 5774 | 410.8 13 5775 | 410.9 47 5776 | 410.9 59 5777 | 411.0 32 5778 | 411.1 6 5779 | 411.1 4 5780 | 411.2 46 5781 | 411.3 108 5782 | 411.3 102 5783 | 411.4 68 5784 | 411.4 73 5785 | 411.5 88 5786 | 411.6 93 5787 | 411.6 78 5788 | 411.7 47 5789 | 411.8 62 5790 | 411.8 129 5791 | 411.9 190 5792 | 411.9 224 5793 | 412.0 209 5794 | 412.1 136 5795 | 412.1 124 5796 | 412.2 205 5797 | 412.3 236 5798 | 412.3 161 5799 | 412.4 93 5800 | 412.4 73 5801 | 412.5 50 5802 | 412.6 96 5803 | 412.6 195 5804 | 412.7 172 5805 | 412.8 72 5806 | 412.8 27 5807 | 412.9 16 5808 | 412.9 12 5809 | 413.0 18 5810 | 413.1 31 5811 | 413.1 61 5812 | 413.2 91 5813 | 413.3 85 5814 | 413.3 61 5815 | 413.4 54 5816 | 413.4 68 5817 | 413.5 86 5818 | 413.6 100 5819 | 413.6 191 5820 | 413.7 333 5821 | 413.8 323 5822 | 413.8 227 5823 | 413.9 226 5824 | 413.9 207 5825 | 414.0 248 5826 | 414.1 399 5827 | 414.1 425 5828 | 414.2 380 5829 | 414.3 367 5830 | 414.3 268 5831 | 414.4 158 5832 | 414.4 102 5833 | 414.5 54 5834 | 414.6 52 5835 | 414.6 87 5836 | 414.7 81 5837 | 414.8 108 5838 | 414.8 184 5839 | 414.9 183 5840 | 414.9 137 5841 | 415.0 158 5842 | 415.1 270 5843 | 415.1 373 5844 | 415.2 334 5845 | 415.3 191 5846 | 415.3 77 5847 | 415.4 48 5848 | 415.4 131 5849 | 415.5 211 5850 | 415.6 154 5851 | 415.6 53 5852 | 415.7 22 5853 | 415.8 25 5854 | 415.8 64 5855 | 415.9 108 5856 | 415.9 114 5857 | 416.0 101 5858 | 416.1 88 5859 | 416.1 115 5860 | 416.2 158 5861 | 416.3 116 5862 | 416.3 45 5863 | 416.4 38 5864 | 416.4 61 5865 | 416.5 56 5866 | 416.6 25 5867 | 416.6 10 5868 | 416.7 21 5869 | 416.8 24 5870 | 416.8 12 5871 | 416.9 2 5872 | 416.9 0 5873 | 417.0 0 5874 | 417.1 8 5875 | 417.1 29 5876 | 417.2 61 5877 | 417.3 70 5878 | 417.3 41 5879 | 417.4 16 5880 | 417.4 10 5881 | 417.5 3 5882 | 417.6 27 5883 | 417.6 84 5884 | 417.7 130 5885 | 417.8 139 5886 | 417.8 100 5887 | 417.9 48 5888 | 417.9 32 5889 | 418.0 52 5890 | 418.1 85 5891 | 418.1 146 5892 | 418.2 172 5893 | 418.3 102 5894 | 418.3 22 5895 | 418.4 4 5896 | 418.4 1 5897 | 418.5 0 5898 | 418.6 11 5899 | 418.6 29 5900 | 418.7 29 5901 | 418.8 32 5902 | 418.8 78 5903 | 418.9 163 5904 | 418.9 224 5905 | 419.0 238 5906 | 419.1 195 5907 | 419.1 145 5908 | 419.2 208 5909 | 419.3 261 5910 | 419.3 151 5911 | 419.4 38 5912 | 419.4 9 5913 | 419.5 45 5914 | 419.6 120 5915 | 419.6 119 5916 | 419.7 58 5917 | 419.8 25 5918 | 419.8 15 5919 | 419.9 23 5920 | 419.9 110 5921 | 420.0 222 5922 | --------------------------------------------------------------------------------