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Wiki source code of DEMO - Working with FLASH data

Version 28.1 by cpassow on 2022-04-06 16:06
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cpassow 21.1 1 test
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cpassow 26.1 3 \\
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cpassow 28.1 5 {{expand title="TEST - How to login JupyterHub"}}
cpassow 26.1 6
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8 {{view-file att--filename="tmp.mp4" height="250"/}}
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17 === TODO ===
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cpassow 22.1 19 (% class="task-list" %)
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21 {{task reference="/Tasks/Task_18" status="InProgress"}}
22 Short descriptions including Links:   → as Text\\
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28 {{task reference="/Tasks/Task_19" status="InProgress"}}
29 GPFS
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cpassow 27.1 32 {{task reference="/Tasks/Task_40" status="InProgress"}}
33 Access rights
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36 {{task reference="/Tasks/Task_41" status="InProgress"}}
37 Gamma Portal
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40 {{task reference="/Tasks/Task_42" status="InProgress"}}
41 Maxwell
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cpassow 22.1 44 {{task reference="/Tasks/Task_20" status="InProgress"}}
45 JupyterHub
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49 conda ?
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cpassow 23.1 51
52 {{task reference="/Tasks/Task_36" status="InProgress"}}
53 explain install from channel instead of fixed environment, but can use environment file from example repository
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cpassow 22.1 55 )))
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57 )))
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64 distribution
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70 {{task reference="/Tasks/Task_23" status="InProgress"}}
71 channel  (where to host?)
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75 environment file (repository with examples)
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77 )))
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86 Documentation
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93 here VS repository VS sphinx
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104 Binder
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111 examples with Stefan
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122 Screencast
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128 {{task reference="/Tasks/Task_30" status="InProgress"}}
129 login in jupyter hub
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132 {{task reference="/Tasks/Task_31" status="InProgress"}}
133 login maxwell display
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136 {{task reference="/Tasks/Task_32" status="InProgress"}}
137 use slix
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140 {{task reference="/Tasks/Task_33" status="InProgress"}}
141 use hdfview plugin in jupterLab
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144 {{task reference="/Tasks/Task_34" status="InProgress"}}
145 create conda env with flashh5
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147 )))
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cpassow 21.1 155 ----
cpassow 2.1 156
cpassow 21.1 157 ==== under review ====
cpassow 4.1 158
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cpassow 8.1 161 {{code language="bash"}}
cpassow 9.1 162 conda create -n flashh5 python=3.10 # 3.10 not necessary, but would prefer 3.8 or higher
cpassow 8.1 163 source activate flashh5
cpassow 10.1 164 conda install ipython numpy pandas #TODO: fix dependcies
cpassow 8.1 165 conda install -c https://www.desy.de/~cpassow/condarepo/ flashh5
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167 ## on jhub
cpassow 11.1 168 conda install ipykernel
cpassow 8.1 169 python -m ipykernel install --user --name flashh5 --display-name "flashh5"
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cpassow 11.1 172 ## to remove on jhub
173 ## delete from: /home/$USER/.local/share/jupyter/kernels/
cpassow 8.1 174 {{/code}}
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cpassow 6.1 178 {{code language="py" title="moved to repository?"}}
cpassow 4.1 179 class RunDirectory:
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cpassow 21.1 181 def get_run_table(): # more or less information? RunComment | Number of Files | start & stop time ?
cpassow 4.1 182 ...
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cpassow 21.1 184 def get_run(daq, run_number): # daq is not needed!
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cpassow 4.1 186 ...
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cpassow 25.1 189 class Run: # constructor optional without RunDirectory or use there self.path
cpassow 4.1 190
cpassow 7.1 191 def get_files():
cpassow 4.1 192 ...
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cpassow 18.1 194 def get_channels(): # of file #1
cpassow 4.1 195 ...
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cpassow 8.1 197 def get_start_time(): # better as attribute?
cpassow 4.1 198 ...
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cpassow 8.1 200 def get_stop_time(): # which? | better as attribute?
cpassow 4.1 201 ...
cpassow 12.1 202
cpassow 19.1 203 def to_df(daq_map): # to_df(daq_map, slice) slice=[0:4] -> throw Exception
cpassow 4.1 204 ...
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cpassow 7.1 206 def to_series(channel):
cpassow 4.1 207 ...
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cpassow 7.1 209 def to_array(channel):
cpassow 4.1 210 ...
211 {{/code}}
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cpassow 6.1 213 {{code language="py" title="ideas"}}
cpassow 10.1 214 run.to_df(daq_map)
215 run.to_series(daq_adr or daq_map) # on channel only?
216 run.to_array(daq_adr) # on channel only?
cpassow 5.1 217
cpassow 21.1 218 ## interesting?
cpassow 10.1 219 # run.to_dask(daq_map)
220 # run.to_xarray(daq_map)
cpassow 5.1 221 {{/code}}
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cpassow 4.1 223 \\