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98df982419
Author | SHA1 | Date |
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Jean-Sébastien | 98df982419 | |
Jean-Sébastien | 1e4c4c420d |
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@ -1,4 +1,5 @@
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#! /usr/bin/env python
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import argparse
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import plotly.graph_objects as go
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import numpy
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@ -1,3 +1,5 @@
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#! /usr/bin/env python
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import argparse
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import plotly.graph_objects as go
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import numpy
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@ -16,5 +18,3 @@ for datafilename in args.filenames:
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y = [line[3] for line in data]
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fig.add_trace(go.Bar(x=x, y=y))
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fig.show()
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@ -1,3 +1,5 @@
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#! /usr/bin/env python
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import argparse
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import plotly.graph_objects as go
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import numpy
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@ -35,4 +37,3 @@ fig.update_layout(
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sliders=sliders
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)
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fig.show()
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@ -7,8 +7,8 @@
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# The data can then be used to produce animated graphs (with c_int evolving),
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# see the `c_scan_N_fixed_dsfs[_plot]` scripts.
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if [[ $# -ne 5 ]]; then
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echo "Arguments needed: whichDSF, kBT, target_sumrule, N, nkmax (max momentum in units of kF/4)."
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if [[ $# -ne 7 ]]; then
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echo "Arguments needed: whichDSF, kBT, target_sumrule, N, nkmax (max momentum in units of kF/4), Max_Secs (per c), refine."
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exit 1
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fi
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@ -37,6 +37,16 @@ if [[ $5 -lt 0 ]]; then
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exit 1
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fi
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if [[ $6 -lt 0 ]]; then
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echo "Max_Secs must be > 0."
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exit 1
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fi
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if [[ $7 != 0 && $7 != 1 ]]; then
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echo "refine must be 0 (false) or 1 (true)."
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exit 1
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fi
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timestart=$(date +%s)
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whichDSF=$1
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@ -44,6 +54,8 @@ kBT=$2
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target_sumrule=$3
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N=$4
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nkmax=$5
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Max_Secs=$6
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refine=$7
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correlator='rho-rho'
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if [[ $whichDSF == 'o' ]]; then
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@ -58,8 +70,6 @@ touch $logfile
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iKmax=$(($nkmax * $N/8))
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Max_Secs=3600
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refine=0
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# List of interactions: fractional powers of 2
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clist_raw=()
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@ -87,7 +97,7 @@ dircheck='Lieb-Liniger/'$correlator'/T_'$kBT'/c_scan_N_fixed/k_0_to_'${(l:2::0:)
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if [[ -d $dircheck ]]; then
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echo 'A c scan with these parameters already exists. Aborting.'
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echo 'If you really want to run this command, please first delete directory:\n'$dircheck
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exit
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exit 1
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fi
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@ -1,3 +1,5 @@
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#! /usr/bin/env python
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"""
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Plot benchmark files produced from Benchmark_RAW_File.
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