From fe1230f514569b1e5d53f1fe1be42359e955ed43 Mon Sep 17 00:00:00 2001
From: qudsiramiz <qudsiramiz@gmail.com>
Date: Mon, 3 Apr 2023 15:54:38 -0400
Subject: [PATCH 1/8] updated read me

---
 README.md | 44 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 44 insertions(+)

diff --git a/README.md b/README.md
index 0e9fbce..a6fdfc2 100644
--- a/README.md
+++ b/README.md
@@ -7,6 +7,50 @@
 
 ## How to run the programme/use the code
 
+### Using a Terminal:
+
+#### Using Python virtual environment:
+
+1. Download the code or clone the repository using the command `$git clone
+   git@github.com:Lexi-BU/lxi_gui.git`
+
+2. Create a virtual environment using the command `$python3 -m venv
+   lexi_gui_env` (or any other name you want to give to the environment)
+    (for Ubuntu)
+
+    a. Might need to install the python3 venv package using the command
+       `$sudo apt-get install python3-venv` (for Ubuntu)
+3. Activate the virtual environment using the command `$source
+   lexi_gui_env/bin/activate`
+
+4. Install the required packages using the command `$pip install -r
+   requirements.txt`
+
+5. Run the file `lxi_gui.py` using the command `$python lxi_gui.py` (or
+   `$python3 lxi_gui.py` if you have both python2 and python3 installed).
+
+6. Can also run the file by simply using the command `$./lxi_gui.sh` (if
+   the file is an executable file).
+
+#### Using Poetry:
+
+1. Download the code or clone the repository using the command `$git clone
+   git@github.com:Lexi-BU/lxi_gui.git`
+
+2. cd into the folder using the command `$cd lxi_gui`
+
+3. Install poetry using the command `$pip install poetry`
+
+4. Install the required packages using the command `$poetry install`
+
+5. Start the virtual environment using the command `$poetry shell`
+
+6. Run the file `lxi_gui.py` using the command `$python lxi_gui.py` (or
+   `$python3 lxi_gui.py` if you have both python2 and python3 installed).
+
+7. Can also run the file by simply using the command `$./lxi_gui.sh` (if
+    the file is an executable file).
+
 ### For Windows:
 1. If you are on Windows, you can download the executable file for LUIGI by clicking on this link: [LUIGI Windows](https://drive.google.com/drive/folders/1LIOiDWf1iVsBD70_NCvknc1s4m35v0A-?usp=sharing)
 

From 14e78e796fd3685679b20cb73f8a18c597b5103a Mon Sep 17 00:00:00 2001
From: Ramiz Qudsi <qudsiramiz@gmail.com>
Date: Fri, 25 Oct 2024 13:43:30 -0400
Subject: [PATCH 2/8] darkmode edits

---
 codes/luigi.cfg            | 16 ++++++++--------
 codes/lxi_gui.py           | 31 ++++++++++++++++++++++++++++---
 codes/lxi_gui_entry_box.py |  4 ++--
 3 files changed, 38 insertions(+), 13 deletions(-)

diff --git a/codes/luigi.cfg b/codes/luigi.cfg
index b6377a1..fbb3a27 100644
--- a/codes/luigi.cfg
+++ b/codes/luigi.cfg
@@ -5,18 +5,18 @@ y_min_entry = -5
 y_max_entry = 5
 hist_bin_entry = 200
 c_min_entry = 1
-c_max_entry = None
+c_max_entry = 100
 density_status = False
-norm_type = log
+norm_type = linear
 unit_type = mcp
-v_min_thresh_entry = 1.2
-v_max_thresh_entry = 3.4
-v_sum_min_thresh_entry = 5
-v_sum_max_thresh_entry = 7
+v_min_thresh_entry = 0
+v_max_thresh_entry = 5
+v_sum_min_thresh_entry = 0
+v_sum_max_thresh_entry = 20
 cut_status = False
 curve_fit_status = False
-lin_corr_status = True
-non_lin_corr_status = True
+lin_corr_status = False
+non_lin_corr_status = False
 cmap = viridis
 
 [time_options]
diff --git a/codes/lxi_gui.py b/codes/lxi_gui.py
index b1308f1..176ee1e 100644
--- a/codes/lxi_gui.py
+++ b/codes/lxi_gui.py
@@ -345,6 +345,14 @@ def update_time_entry(time_entry, time_entry_other):
     time_entry_other.insert(0, time_entry.get())
 
 
+def update_file_entry(file_entry, file_entry_other):
+    """
+    This function will take one file entry and update the other
+    """
+    file_entry_other.delete(0, tk.END)
+    file_entry_other.insert(0, file_entry.get())
+
+
 def dark_mode_change():
     """
     This function is called when the "Dark Mode" checkbox is clicked. It changes the background and
@@ -352,6 +360,7 @@ def dark_mode_change():
     """
     global dark_mode
     dark_mode = dark_mode_var.get()
+
     if dark_mode:
         bg_color = "black"
         fg_color = "white"
@@ -418,6 +427,9 @@ def dark_mode_change():
             except Exception:
                 pass
 
+    # Run the populating entries function to change the color of the entry boxes
+    # lgeb.populate_entries(root=root, dark_mode=dark_mode)
+
     # Check if global_variables.all_file_details is empty. If not, then refresh the plots
     if global_variables.all_file_details:
         try:
@@ -430,6 +442,7 @@ def dark_mode_change():
         except Exception:
             pass
 
+
 # Create the main window.
 root = tk.Tk()
 
@@ -904,6 +917,18 @@ def dark_mode_change():
 folder_path.config(insertbackground=insertbackground_color)
 folder_path.config(state="normal", disabledbackground="black", disabledforeground="gray")
 
+# Add a textbox to enter the folder path in HK tab as well
+folder_path_hk = tk.Entry(hk_tab, justify="center", bg=bg_color, fg="green", borderwidth=2)
+folder_path_hk.grid(row=12, column=6, columnspan=1, sticky="nsew")
+
+# Set the default folder name in the text box same as the one in the science tab
+folder_path_hk.insert(1, folder_path.get())
+
+# If the folder path in one tab is changed, update the other tab
+folder_path.bind("<KeyRelease>", lambda *_: update_file_entry(folder_path, folder_path_hk))
+folder_path_hk.bind("<KeyRelease>", lambda *_: update_file_entry(folder_path_hk, folder_path))
+
+
 # Add a button to load all the files in the folder_path
 folder_load_button = tk.Button(
     sci_tab,
@@ -953,7 +978,7 @@ def dark_mode_change():
     highlightbackground="green",
     highlightcolor="green",
 )
-folder_load_button_hk.grid(row=12, column=6, columnspan=1, sticky="nsew")
+folder_load_button_hk.grid(row=12, column=7, columnspan=1, sticky="nsew")
 folder_load_button_hk.config(state="normal")
 
 # Label for plot times
@@ -1331,7 +1356,7 @@ def apply_default_config(event):
     highlightbackground="green",
     highlightcolor="green",
 )
-refresh_ts_hk_button.grid(row=12, column=7, columnspan=1, rowspan=1, sticky="new")
+refresh_ts_hk_button.grid(row=12, column=8, columnspan=1, rowspan=1, sticky="new")
 
 quit_button_hk = tk.Button(
     hk_tab,
@@ -1349,6 +1374,6 @@ def apply_default_config(event):
     highlightbackground="red",
     highlightcolor="red",
 )
-quit_button_hk.grid(row=12, column=8, columnspan=1, rowspan=1, sticky="new")
+quit_button_hk.grid(row=12, column=9, columnspan=1, rowspan=1, sticky="new")
 
 root.mainloop()
diff --git a/codes/lxi_gui_entry_box.py b/codes/lxi_gui_entry_box.py
index b0b8ac9..ef5c920 100644
--- a/codes/lxi_gui_entry_box.py
+++ b/codes/lxi_gui_entry_box.py
@@ -121,10 +121,10 @@ def populate_entries(root=None, dark_mode=True, default_vals=False):
 
     if dark_mode:
         bg_color = "black"
-        fg_color = "white"
+        fg_color = "red"
     else:
         bg_color = "white"
-        fg_color = "black"
+        fg_color = "red"
     # Get the default values from the config file
     default_opt_dict = lgcf.get_config_entry(default_vals=default_vals)
 

From cf467e9e938f0d9490882c1ae009a2ce0d72b777 Mon Sep 17 00:00:00 2001
From: Ramiz Qudsi <qudsiramiz@gmail.com>
Date: Fri, 25 Oct 2024 14:57:14 -0400
Subject: [PATCH 3/8] fixed the histogram error bug

---
 codes/luigi.cfg                | 16 ++++++++--------
 codes/lxi_gui.py               | 12 ++++++------
 codes/lxi_gui_entry_box.py     |  4 ++--
 codes/lxi_gui_plot_routines.py |  6 +++---
 4 files changed, 19 insertions(+), 19 deletions(-)

diff --git a/codes/luigi.cfg b/codes/luigi.cfg
index b6377a1..fd5dee2 100644
--- a/codes/luigi.cfg
+++ b/codes/luigi.cfg
@@ -3,20 +3,20 @@ x_min_entry = -5
 x_max_entry = 5
 y_min_entry = -5
 y_max_entry = 5
-hist_bin_entry = 200
-c_min_entry = 1
-c_max_entry = None
+hist_bin_entry = 100
+c_min_entry = 5
+c_max_entry = 500
 density_status = False
 norm_type = log
 unit_type = mcp
 v_min_thresh_entry = 1.2
 v_max_thresh_entry = 3.4
-v_sum_min_thresh_entry = 5
-v_sum_max_thresh_entry = 7
-cut_status = False
-curve_fit_status = False
+v_sum_min_thresh_entry = 7
+v_sum_max_thresh_entry = 8
+cut_status = True
+curve_fit_status = True
 lin_corr_status = True
-non_lin_corr_status = True
+non_lin_corr_status = False
 cmap = viridis
 
 [time_options]
diff --git a/codes/lxi_gui.py b/codes/lxi_gui.py
index b1308f1..3b17ce4 100644
--- a/codes/lxi_gui.py
+++ b/codes/lxi_gui.py
@@ -456,8 +456,8 @@ def dark_mode_change():
         0.8 * root.winfo_screenheight(),
     )
 
-# screen_width = 1800
-# screen_height = 1000
+screen_width = 900
+screen_height = 600
 # print(
 #     "If the GUI size is messed up, check comment on line #215 of the code 'lxi_gui.py'."
 # )
@@ -510,12 +510,12 @@ def dark_mode_change():
 dark_mode = True
 if dark_mode:
     bg_color = "black"
-    fg_color = "white"
-    insertbackground_color = "cyan"
+    fg_color = "red"
+    insertbackground_color = "red"
 else:
     bg_color = "white"
-    fg_color = "black"
-    insertbackground_color = "black"
+    fg_color = "red"
+    insertbackground_color = "red"
 
 # Add a checkbutton to enable/disable dark mode
 dark_mode_var = tk.BooleanVar()
diff --git a/codes/lxi_gui_entry_box.py b/codes/lxi_gui_entry_box.py
index b0b8ac9..ef5c920 100644
--- a/codes/lxi_gui_entry_box.py
+++ b/codes/lxi_gui_entry_box.py
@@ -121,10 +121,10 @@ def populate_entries(root=None, dark_mode=True, default_vals=False):
 
     if dark_mode:
         bg_color = "black"
-        fg_color = "white"
+        fg_color = "red"
     else:
         bg_color = "white"
-        fg_color = "black"
+        fg_color = "red"
     # Get the default values from the config file
     default_opt_dict = lgcf.get_config_entry(default_vals=default_vals)
 
diff --git a/codes/lxi_gui_plot_routines.py b/codes/lxi_gui_plot_routines.py
index 007523c..87e302b 100644
--- a/codes/lxi_gui_plot_routines.py
+++ b/codes/lxi_gui_plot_routines.py
@@ -613,12 +613,12 @@ def hist_plots(self):
             fig = plt.figure(num=None, facecolor=face_color, edgecolor=edge_color)
 
         # fig.subplots_adjust(wspace=0., hspace=0.1)
-        gs = plt.GridSpec(21, 21)
+        gs = plt.GridSpec(15, 15)
 
         axs1 = fig.add_subplot(gs[:-3, 3:], aspect=1)
 
         # Drop all nans in the data
-        self.df_slice_sci = self.df_slice_sci.dropna()
+        # self.df_slice_sci = self.df_slice_sci.dropna()
         # Try to select only rows where "IsCommanded" is False
         try:
             self.df_slice_sci = self.df_slice_sci[
@@ -693,7 +693,7 @@ def hist_plots(self):
                         -0.70495138, -1.59298278, 2.63314709]])
 
         # Scatter plot the xy values
-        axs1.scatter(xy[0], xy[1], marker=".", color="r", s=25, zorder=10)
+        # axs1.scatter(xy[0], xy[1], marker=".", color="r", s=25, zorder=10)
         # If all values of counts are NaN, then redo the histogram with different norm and cmin
         if np.isnan(counts).all():
             logger.warning(

From b00e45e5509a051899145170f530db84880a3d83 Mon Sep 17 00:00:00 2001
From: Ramiz Qudsi <qudsiramiz@gmail.com>
Date: Wed, 30 Oct 2024 09:56:28 -0400
Subject: [PATCH 4/8] minor legend location edits

---
 codes/luigi.cfg                |   4 +-
 codes/lxi_gui.py               |   4 +-
 codes/lxi_gui_plot_routines.py |  10 +-
 requirements.txt               | 808 ++++++++++++++++++++++++++++++++-
 4 files changed, 795 insertions(+), 31 deletions(-)

diff --git a/codes/luigi.cfg b/codes/luigi.cfg
index f3ebcf1..5018db9 100644
--- a/codes/luigi.cfg
+++ b/codes/luigi.cfg
@@ -20,7 +20,7 @@ non_lin_corr_status = False
 cmap = viridis
 
 [time_options]
-start_time = 2023-01-01 00:00:00
-end_time = 2026-12-31 00:00:00
+start_time = 2024-11-16 10:00:00
+end_time = 2024-11-16 16:32:52
 time_threshold = 60
 
diff --git a/codes/lxi_gui.py b/codes/lxi_gui.py
index 1462917..5795a1e 100644
--- a/codes/lxi_gui.py
+++ b/codes/lxi_gui.py
@@ -469,8 +469,8 @@ def dark_mode_change():
         0.8 * root.winfo_screenheight(),
     )
 
-screen_width = 900
-screen_height = 600
+screen_width = 1250
+screen_height = 800
 # print(
 #     "If the GUI size is messed up, check comment on line #215 of the code 'lxi_gui.py'."
 # )
diff --git a/codes/lxi_gui_plot_routines.py b/codes/lxi_gui_plot_routines.py
index 87e302b..edba243 100644
--- a/codes/lxi_gui_plot_routines.py
+++ b/codes/lxi_gui_plot_routines.py
@@ -366,11 +366,11 @@ def ts_plots(self):
         # percentile values as as mu, where mu is 50 percentile value and subscript is the 10 and
         # superscript is 90 percentile values
         axs1.text(
+            0.02,
             0.05,
-            0.95,
             f"$\mu_{{{10}}}^{{{90}}}={key_50p_val:.2f}_{{{key_10p_val:.2f}}}^{{{key_90p_val:.2f}}}$",
             horizontalalignment="left",
-            verticalalignment="top",
+            verticalalignment="bottom",
             transform=axs1.transAxes,
             color=edgecolor,
             fontsize=10,
@@ -398,9 +398,9 @@ def ts_plots(self):
             axs1.yaxis.set_major_locator(MaxNLocator(integer=True))
 
         # Set the location of the legend and remove the marker from the legend
-        axs1.legend(loc="upper right", markerscale=0, handlelength=0, handletextpad=0, fancybox=True,
-                    framealpha=0.5, edgecolor=edgecolor, facecolor=facecolor, fontsize=10,
-                    bbox_to_anchor=(1.0, 1.0), bbox_transform=axs1.transAxes)
+        # axs1.legend(loc="upper right", markerscale=0, handlelength=0, handletextpad=0, fancybox=True,
+        #             framealpha=0.5, edgecolor=edgecolor, facecolor=facecolor, fontsize=10,
+        #             bbox_to_anchor=(1.0, 1.0), bbox_transform=axs1.transAxes)
         # legend_list = axs1.legend(handlelength=0, handletextpad=0, fancybox=False)
         # for item in legend_list.legendHandles:
         #     item.set_visible(False)
diff --git a/requirements.txt b/requirements.txt
index b8fda3f..10d3829 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,22 +1,786 @@
-altgraph==0.17.2
-cycler==0.11.0
-fonttools==4.33.3
-h5py==3.8.0
-kiwisolver==1.4.2
-matplotlib==3.5.2
-numpy==1.22.4
-packaging==21.3
-pandas==1.4.2
-Pillow==9.3.0
-pyinstaller==5.1
-pyinstaller-hooks-contrib==2022.5
-pyparsing==3.0.9
-python-dateutil==2.8.2
-pytz==2022.1
-scipy==1.8.1
-seaborn==0.11.2
-six==1.16.0
-spacepy==0.4.1
-tabulate==0.8.9
-tk==0.1.0
-Wand==0.6.10
+altgraph==0.17.4 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:1b5afbb98f6c4dcadb2e2ae6ab9fa994bbb8c1d75f4fa96d340f9437ae454406 \
+    --hash=sha256:642743b4750de17e655e6711601b077bc6598dbfa3ba5fa2b2a35ce12b508dff
+bcrypt==4.2.0 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:096a15d26ed6ce37a14c1ac1e48119660f21b24cba457f160a4b830f3fe6b5cb \
+    --hash=sha256:0da52759f7f30e83f1e30a888d9163a81353ef224d82dc58eb5bb52efcabc399 \
+    --hash=sha256:1bb429fedbe0249465cdd85a58e8376f31bb315e484f16e68ca4c786dcc04291 \
+    --hash=sha256:1d84cf6d877918620b687b8fd1bf7781d11e8a0998f576c7aa939776b512b98d \
+    --hash=sha256:1ee38e858bf5d0287c39b7a1fc59eec64bbf880c7d504d3a06a96c16e14058e7 \
+    --hash=sha256:1ff39b78a52cf03fdf902635e4c81e544714861ba3f0efc56558979dd4f09170 \
+    --hash=sha256:27fe0f57bb5573104b5a6de5e4153c60814c711b29364c10a75a54bb6d7ff48d \
+    --hash=sha256:3413bd60460f76097ee2e0a493ccebe4a7601918219c02f503984f0a7ee0aebe \
+    --hash=sha256:3698393a1b1f1fd5714524193849d0c6d524d33523acca37cd28f02899285060 \
+    --hash=sha256:373db9abe198e8e2c70d12b479464e0d5092cc122b20ec504097b5f2297ed184 \
+    --hash=sha256:39e1d30c7233cfc54f5c3f2c825156fe044efdd3e0b9d309512cc514a263ec2a \
+    --hash=sha256:3bbbfb2734f0e4f37c5136130405332640a1e46e6b23e000eeff2ba8d005da68 \
+    --hash=sha256:3d3a6d28cb2305b43feac298774b997e372e56c7c7afd90a12b3dc49b189151c \
+    --hash=sha256:5a1e8aa9b28ae28020a3ac4b053117fb51c57a010b9f969603ed885f23841458 \
+    --hash=sha256:61ed14326ee023917ecd093ee6ef422a72f3aec6f07e21ea5f10622b735538a9 \
+    --hash=sha256:655ea221910bcac76ea08aaa76df427ef8625f92e55a8ee44fbf7753dbabb328 \
+    --hash=sha256:762a2c5fb35f89606a9fde5e51392dad0cd1ab7ae64149a8b935fe8d79dd5ed7 \
+    --hash=sha256:77800b7147c9dc905db1cba26abe31e504d8247ac73580b4aa179f98e6608f34 \
+    --hash=sha256:8ac68872c82f1add6a20bd489870c71b00ebacd2e9134a8aa3f98a0052ab4b0e \
+    --hash=sha256:8d7bb9c42801035e61c109c345a28ed7e84426ae4865511eb82e913df18f58c2 \
+    --hash=sha256:8f6ede91359e5df88d1f5c1ef47428a4420136f3ce97763e31b86dd8280fbdf5 \
+    --hash=sha256:9c1c4ad86351339c5f320ca372dfba6cb6beb25e8efc659bedd918d921956bae \
+    --hash=sha256:c02d944ca89d9b1922ceb8a46460dd17df1ba37ab66feac4870f6862a1533c00 \
+    --hash=sha256:c52aac18ea1f4a4f65963ea4f9530c306b56ccd0c6f8c8da0c06976e34a6e841 \
+    --hash=sha256:cb2a8ec2bc07d3553ccebf0746bbf3d19426d1c6d1adbd4fa48925f66af7b9e8 \
+    --hash=sha256:cf69eaf5185fd58f268f805b505ce31f9b9fc2d64b376642164e9244540c1221 \
+    --hash=sha256:f4f4acf526fcd1c34e7ce851147deedd4e26e6402369304220250598b26448db
+bokeh==3.1.1 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:a542a076ce326f81bf6d226355458572d39fe8fc9b547eab9728a2f1d71e4bdb \
+    --hash=sha256:ba0fc6bae4352d307541293256dee930a42d0acf92e760c72dc0e7397c3a28e9
+cffi==1.17.1 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:045d61c734659cc045141be4bae381a41d89b741f795af1dd018bfb532fd0df8 \
+    --hash=sha256:0984a4925a435b1da406122d4d7968dd861c1385afe3b45ba82b750f229811e2 \
+    --hash=sha256:0e2b1fac190ae3ebfe37b979cc1ce69c81f4e4fe5746bb401dca63a9062cdaf1 \
+    --hash=sha256:0f048dcf80db46f0098ccac01132761580d28e28bc0f78ae0d58048063317e15 \
+    --hash=sha256:1257bdabf294dceb59f5e70c64a3e2f462c30c7ad68092d01bbbfb1c16b1ba36 \
+    --hash=sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824 \
+    --hash=sha256:1d599671f396c4723d016dbddb72fe8e0397082b0a77a4fab8028923bec050e8 \
+    --hash=sha256:28b16024becceed8c6dfbc75629e27788d8a3f9030691a1dbf9821a128b22c36 \
+    --hash=sha256:2bb1a08b8008b281856e5971307cc386a8e9c5b625ac297e853d36da6efe9c17 \
+    --hash=sha256:30c5e0cb5ae493c04c8b42916e52ca38079f1b235c2f8ae5f4527b963c401caf \
+    --hash=sha256:31000ec67d4221a71bd3f67df918b1f88f676f1c3b535a7eb473255fdc0b83fc \
+    --hash=sha256:386c8bf53c502fff58903061338ce4f4950cbdcb23e2902d86c0f722b786bbe3 \
+    --hash=sha256:3edc8d958eb099c634dace3c7e16560ae474aa3803a5df240542b305d14e14ed \
+    --hash=sha256:45398b671ac6d70e67da8e4224a065cec6a93541bb7aebe1b198a61b58c7b702 \
+    --hash=sha256:46bf43160c1a35f7ec506d254e5c890f3c03648a4dbac12d624e4490a7046cd1 \
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+    --hash=sha256:f9dc7f933975367251c1b34da882c4f0e0b2e24bb35dc906d2f598a40b72bfc7
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+    --hash=sha256:f7b178f11ed3664fd0e995a47ed2b5ff0a12d893e41dd0494f406d1cf555cab7
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+    --hash=sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30 \
+    --hash=sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c
+fonttools==4.54.1 ; python_version >= "3.8" and python_version < "3.11" \
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+    --hash=sha256:8fa92cb248e573daab8d032919623cc309c005086d743afb014c836636166f08 \
+    --hash=sha256:93d458c8a6a354dc8b48fc78d66d2a8a90b941f7fec30e94c7ad9982b1fa6bab \
+    --hash=sha256:957f669d4922f92c171ba01bef7f29410668db09f6c02111e22b2bce446f3285 \
+    --hash=sha256:9dc080e5a1c3b2656caff2ac2633d009b3a9ff7b5e93d0452f40cd76d3da3b3c \
+    --hash=sha256:9ef1b167e22709b46bf8168368b7b5d3efeaaa746c6d39661c1b4405b6352e58 \
+    --hash=sha256:a7a310c6e0471602fe3bf8efaf193d396ea561486aeaa7adc1f132e02d30c4b9 \
+    --hash=sha256:ab774fa225238986218a463f3fe151e04d8c25d7de09df7f0f5fce27b1243dbc \
+    --hash=sha256:ada215fd079e23e060157aab12eba0d66704316547f334eee9ff26f8c0d7b8ab \
+    --hash=sha256:c39287f5c8f4a0c5a55daf9eaf9ccd223ea59eed3f6d467133cc727d7b943a55 \
+    --hash=sha256:c9c563351ddc230725c4bdf7d9e1e92cbe6ae8553942bd1fb2b2ff0884e8b714 \
+    --hash=sha256:d26732ae002cc3d2ecab04897bb02ae3f11f06dd7575d1df46acd2f7c012a8d8 \
+    --hash=sha256:d3b659d1029946f4ff9b6183984578041b520ce0f8fb7078bb37ec7445806b33 \
+    --hash=sha256:dd9cc95b8d6e27d01e1e1f1fae8559ef3c02c76317da650a19047f249acd519d \
+    --hash=sha256:e4564cf40cebcb53f3dc825e85910bf54835e8a8b6880d59e5159f0f325e637e \
+    --hash=sha256:e7d82b9e56716ed32574ee106cabca80992e6bbdcf25a88d97d21f73a0aae664 \
+    --hash=sha256:e8a4b261c1ef91e7188a30571be6ad98d1c6d9fa2427244c545e2fa0a2494dd7 \
+    --hash=sha256:e96bc94c8cda58f577277d4a71f51c8e2129b8b36fd05adece6320dd3d57de8a \
+    --hash=sha256:ed2f80ca07025551636c555dec2b755dd005e2ea8fbeb99fc5cdff319b70b23b \
+    --hash=sha256:f5b8a096e649768c2f4233f947cf9737f8dbf8728b90e2771e2497c6e3d21d13 \
+    --hash=sha256:f8e953cc0bddc2beaf3a3c3b5dd9ab7554677da72dfaf46951e193c9653e515a \
+    --hash=sha256:fda582236fee135d4daeca056c8c88ec5f6f6d88a004a79b84a02547c8f57386 \
+    --hash=sha256:fdb062893fd6d47b527d39346e0c5578b7957dcea6d6a3b6794569370013d9ac
+h5py==3.11.0 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:083e0329ae534a264940d6513f47f5ada617da536d8dccbafc3026aefc33c90e \
+    --hash=sha256:1625fd24ad6cfc9c1ccd44a66dac2396e7ee74940776792772819fc69f3a3731 \
+    --hash=sha256:21dbdc5343f53b2e25404673c4f00a3335aef25521bd5fa8c707ec3833934892 \
+    --hash=sha256:52c416f8eb0daae39dabe71415cb531f95dce2d81e1f61a74537a50c63b28ab3 \
+    --hash=sha256:55106b04e2c83dfb73dc8732e9abad69d83a436b5b82b773481d95d17b9685e1 \
+    --hash=sha256:67462d0669f8f5459529de179f7771bd697389fcb3faab54d63bf788599a48ea \
+    --hash=sha256:6c4b760082626120031d7902cd983d8c1f424cdba2809f1067511ef283629d4b \
+    --hash=sha256:731839240c59ba219d4cb3bc5880d438248533366f102402cfa0621b71796b62 \
+    --hash=sha256:754c0c2e373d13d6309f408325343b642eb0f40f1a6ad21779cfa9502209e150 \
+    --hash=sha256:75bd7b3d93fbeee40860fd70cdc88df4464e06b70a5ad9ce1446f5f32eb84007 \
+    --hash=sha256:77b19a40788e3e362b54af4dcf9e6fde59ca016db2c61360aa30b47c7b7cef00 \
+    --hash=sha256:7b7e8f78072a2edec87c9836f25f34203fd492a4475709a18b417a33cfb21fa9 \
+    --hash=sha256:8ec9df3dd2018904c4cc06331951e274f3f3fd091e6d6cc350aaa90fa9b42a76 \
+    --hash=sha256:a76cae64080210389a571c7d13c94a1a6cf8cb75153044fd1f822a962c97aeab \
+    --hash=sha256:aa6ae84a14103e8dc19266ef4c3e5d7c00b68f21d07f2966f0ca7bdb6c2761fb \
+    --hash=sha256:bbd732a08187a9e2a6ecf9e8af713f1d68256ee0f7c8b652a32795670fb481ba \
+    --hash=sha256:c072655ad1d5fe9ef462445d3e77a8166cbfa5e599045f8aa3c19b75315f10e5 \
+    --hash=sha256:d9c944d364688f827dc889cf83f1fca311caf4fa50b19f009d1f2b525edd33a3 \
+    --hash=sha256:ef4e2f338fc763f50a8113890f455e1a70acd42a4d083370ceb80c463d803972 \
+    --hash=sha256:f3736fe21da2b7d8a13fe8fe415f1272d2a1ccdeff4849c1421d2fb30fd533bc \
+    --hash=sha256:f4e025e852754ca833401777c25888acb96889ee2c27e7e629a19aee288833f0
+importlib-metadata==8.5.0 ; python_version >= "3.8" and python_version < "3.10" \
+    --hash=sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b \
+    --hash=sha256:71522656f0abace1d072b9e5481a48f07c138e00f079c38c8f883823f9c26bd7
+jinja2==3.1.4 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369 \
+    --hash=sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d
+kiwisolver==1.4.7 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:073a36c8273647592ea332e816e75ef8da5c303236ec0167196793eb1e34657a \
+    --hash=sha256:08471d4d86cbaec61f86b217dd938a83d85e03785f51121e791a6e6689a3be95 \
+    --hash=sha256:0c18ec74c0472de033e1bebb2911c3c310eef5649133dd0bedf2a169a1b269e5 \
+    --hash=sha256:0c6c43471bc764fad4bc99c5c2d6d16a676b1abf844ca7c8702bdae92df01ee0 \
+    --hash=sha256:10849fb2c1ecbfae45a693c070e0320a91b35dd4bcf58172c023b994283a124d \
+    --hash=sha256:18077b53dc3bb490e330669a99920c5e6a496889ae8c63b58fbc57c3d7f33a18 \
+    --hash=sha256:18e0cca3e008e17fe9b164b55735a325140a5a35faad8de92dd80265cd5eb80b \
+    --hash=sha256:22f499f6157236c19f4bbbd472fa55b063db77a16cd74d49afe28992dff8c258 \
+    --hash=sha256:2a8781ac3edc42ea4b90bc23e7d37b665d89423818e26eb6df90698aa2287c95 \
+    --hash=sha256:2e6039dcbe79a8e0f044f1c39db1986a1b8071051efba3ee4d74f5b365f5226e \
+    --hash=sha256:34ea1de54beef1c104422d210c47c7d2a4999bdecf42c7b5718fbe59a4cac383 \
+    --hash=sha256:3ab58c12a2cd0fc769089e6d38466c46d7f76aced0a1f54c77652446733d2d02 \
+    --hash=sha256:3abc5b19d24af4b77d1598a585b8a719beb8569a71568b66f4ebe1fb0449460b \
+    --hash=sha256:3bf1ed55088f214ba6427484c59553123fdd9b218a42bbc8c6496d6754b1e523 \
+    --hash=sha256:3ce6b2b0231bda412463e152fc18335ba32faf4e8c23a754ad50ffa70e4091ee \
+    --hash=sha256:3da53da805b71e41053dc670f9a820d1157aae77b6b944e08024d17bcd51ef88 \
+    --hash=sha256:3f9362ecfca44c863569d3d3c033dbe8ba452ff8eed6f6b5806382741a1334bd \
+    --hash=sha256:409afdfe1e2e90e6ee7fc896f3df9a7fec8e793e58bfa0d052c8a82f99c37abb \
+    --hash=sha256:40fa14dbd66b8b8f470d5fc79c089a66185619d31645f9b0773b88b19f7223c4 \
+    --hash=sha256:4322872d5772cae7369f8351da1edf255a604ea7087fe295411397d0cfd9655e \
+    --hash=sha256:44756f9fd339de0fb6ee4f8c1696cfd19b2422e0d70b4cefc1cc7f1f64045a8c \
+    --hash=sha256:46707a10836894b559e04b0fd143e343945c97fd170d69a2d26d640b4e297935 \
+    --hash=sha256:48b571ecd8bae15702e4f22d3ff6a0f13e54d3d00cd25216d5e7f658242065ee \
+    --hash=sha256:48be928f59a1f5c8207154f935334d374e79f2b5d212826307d072595ad76a2e \
+    --hash=sha256:4bfa75a048c056a411f9705856abfc872558e33c055d80af6a380e3658766038 \
+    --hash=sha256:4c00336b9dd5ad96d0a558fd18a8b6f711b7449acce4c157e7343ba92dd0cf3d \
+    --hash=sha256:4c26ed10c4f6fa6ddb329a5120ba3b6db349ca192ae211e882970bfc9d91420b \
+    --hash=sha256:4d05d81ecb47d11e7f8932bd8b61b720bf0b41199358f3f5e36d38e28f0532c5 \
+    --hash=sha256:4e77f2126c3e0b0d055f44513ed349038ac180371ed9b52fe96a32aa071a5107 \
+    --hash=sha256:5337ec7809bcd0f424c6b705ecf97941c46279cf5ed92311782c7c9c2026f07f \
+    --hash=sha256:5360cc32706dab3931f738d3079652d20982511f7c0ac5711483e6eab08efff2 \
+    --hash=sha256:58370b1ffbd35407444d57057b57da5d6549d2d854fa30249771775c63b5fe17 \
+    --hash=sha256:58cb20602b18f86f83a5c87d3ee1c766a79c0d452f8def86d925e6c60fbf7bfb \
+    --hash=sha256:599b5c873c63a1f6ed7eead644a8a380cfbdf5db91dcb6f85707aaab213b1674 \
+    --hash=sha256:5b7dfa3b546da08a9f622bb6becdb14b3e24aaa30adba66749d38f3cc7ea9706 \
+    --hash=sha256:5b9c3f4ee0b9a439d2415012bd1b1cc2df59e4d6a9939f4d669241d30b414327 \
+    --hash=sha256:5d34eb8494bea691a1a450141ebb5385e4b69d38bb8403b5146ad279f4b30fa3 \
+    --hash=sha256:5d5abf8f8ec1f4e22882273c423e16cae834c36856cac348cfbfa68e01c40f3a \
+    --hash=sha256:5e3bc157fed2a4c02ec468de4ecd12a6e22818d4f09cde2c31ee3226ffbefab2 \
+    --hash=sha256:612a10bdae23404a72941a0fc8fa2660c6ea1217c4ce0dbcab8a8f6543ea9e7f \
+    --hash=sha256:657a05857bda581c3656bfc3b20e353c232e9193eb167766ad2dc58b56504948 \
+    --hash=sha256:65e720d2ab2b53f1f72fb5da5fb477455905ce2c88aaa671ff0a447c2c80e8e3 \
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+    --hash=sha256:7bbfcb7165ce3d54a3dfbe731e470f65739c4c1f85bb1018ee912bae139e263b \
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+    --hash=sha256:82a5c2f4b87c26bb1a0ef3d16b5c4753434633b83d365cc0ddf2770c93829e3c \
+    --hash=sha256:84ec80df401cfee1457063732d90022f93951944b5b58975d34ab56bb150dfb3 \
+    --hash=sha256:8705f17dfeb43139a692298cb6637ee2e59c0194538153e83e9ee0c75c2eddde \
+    --hash=sha256:88a9ca9c710d598fd75ee5de59d5bda2684d9db36a9f50b6125eaea3969c2599 \
+    --hash=sha256:88f17c5ffa8e9462fb79f62746428dd57b46eb931698e42e990ad63103f35e6c \
+    --hash=sha256:8a3ec5aa8e38fc4c8af308917ce12c536f1c88452ce554027e55b22cbbfbff76 \
+    --hash=sha256:8a9c83f75223d5e48b0bc9cb1bf2776cf01563e00ade8775ffe13b0b6e1af3a6 \
+    --hash=sha256:8b01aac285f91ca889c800042c35ad3b239e704b150cfd3382adfc9dcc780e39 \
+    --hash=sha256:8d53103597a252fb3ab8b5845af04c7a26d5e7ea8122303dd7a021176a87e8b9 \
+    --hash=sha256:8e045731a5416357638d1700927529e2b8ab304811671f665b225f8bf8d8f933 \
+    --hash=sha256:8f0ea6da6d393d8b2e187e6a5e3fb81f5862010a40c3945e2c6d12ae45cfb2ad \
+    --hash=sha256:90da3b5f694b85231cf93586dad5e90e2d71b9428f9aad96952c99055582f520 \
+    --hash=sha256:913983ad2deb14e66d83c28b632fd35ba2b825031f2fa4ca29675e665dfecbe1 \
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+    --hash=sha256:929e294c1ac1e9f615c62a4e4313ca1823ba37326c164ec720a803287c4c499b \
+    --hash=sha256:933d4de052939d90afbe6e9d5273ae05fb836cc86c15b686edd4b3560cc0ee36 \
+    --hash=sha256:942216596dc64ddb25adb215c3c783215b23626f8d84e8eff8d6d45c3f29f75a \
+    --hash=sha256:94252291e3fe68001b1dd747b4c0b3be12582839b95ad4d1b641924d68fd4643 \
+    --hash=sha256:9893ff81bd7107f7b685d3017cc6583daadb4fc26e4a888350df530e41980a60 \
+    --hash=sha256:9e838bba3a3bac0fe06d849d29772eb1afb9745a59710762e4ba3f4cb8424483 \
+    --hash=sha256:a0f64a48bb81af7450e641e3fe0b0394d7381e342805479178b3d335d60ca7cf \
+    --hash=sha256:a17f6a29cf8935e587cc8a4dbfc8368c55edc645283db0ce9801016f83526c2d \
+    --hash=sha256:a1ecf0ac1c518487d9d23b1cd7139a6a65bc460cd101ab01f1be82ecf09794b6 \
+    --hash=sha256:a79ae34384df2b615eefca647a2873842ac3b596418032bef9a7283675962644 \
+    --hash=sha256:a91b5f9f1205845d488c928e8570dcb62b893372f63b8b6e98b863ebd2368ff2 \
+    --hash=sha256:aa0abdf853e09aff551db11fce173e2177d00786c688203f52c87ad7fcd91ef9 \
+    --hash=sha256:ac542bf38a8a4be2dc6b15248d36315ccc65f0743f7b1a76688ffb6b5129a5c2 \
+    --hash=sha256:ad42ba922c67c5f219097b28fae965e10045ddf145d2928bfac2eb2e17673640 \
+    --hash=sha256:aeb3531b196ef6f11776c21674dba836aeea9d5bd1cf630f869e3d90b16cfade \
+    --hash=sha256:b38ac83d5f04b15e515fd86f312479d950d05ce2368d5413d46c088dda7de90a \
+    --hash=sha256:b7d755065e4e866a8086c9bdada157133ff466476a2ad7861828e17b6026e22c \
+    --hash=sha256:bd3de6481f4ed8b734da5df134cd5a6a64fe32124fe83dde1e5b5f29fe30b1e6 \
+    --hash=sha256:bfa1acfa0c54932d5607e19a2c24646fb4c1ae2694437789129cf099789a3b00 \
+    --hash=sha256:c619b101e6de2222c1fcb0531e1b17bbffbe54294bfba43ea0d411d428618c27 \
+    --hash=sha256:ce8be0466f4c0d585cdb6c1e2ed07232221df101a4c6f28821d2aa754ca2d9e2 \
+    --hash=sha256:cf0438b42121a66a3a667de17e779330fc0f20b0d97d59d2f2121e182b0505e4 \
+    --hash=sha256:cf8bcc23ceb5a1b624572a1623b9f79d2c3b337c8c455405ef231933a10da379 \
+    --hash=sha256:d2b0e12a42fb4e72d509fc994713d099cbb15ebf1103545e8a45f14da2dfca54 \
+    --hash=sha256:d83db7cde68459fc803052a55ace60bea2bae361fc3b7a6d5da07e11954e4b09 \
+    --hash=sha256:dda56c24d869b1193fcc763f1284b9126550eaf84b88bbc7256e15028f19188a \
+    --hash=sha256:dea0bf229319828467d7fca8c7c189780aa9ff679c94539eed7532ebe33ed37c \
+    --hash=sha256:e1631290ee9271dffe3062d2634c3ecac02c83890ada077d225e081aca8aab89 \
+    --hash=sha256:e28c7fea2196bf4c2f8d46a0415c77a1c480cc0724722f23d7410ffe9842c407 \
+    --hash=sha256:e2e6c39bd7b9372b0be21456caab138e8e69cc0fc1190a9dfa92bd45a1e6e904 \
+    --hash=sha256:e33e8fbd440c917106b237ef1a2f1449dfbb9b6f6e1ce17c94cd6a1e0d438376 \
+    --hash=sha256:e8df2eb9b2bac43ef8b082e06f750350fbbaf2887534a5be97f6cf07b19d9583 \
+    --hash=sha256:e968b84db54f9d42046cf154e02911e39c0435c9801681e3fc9ce8a3c4130278 \
+    --hash=sha256:eb542fe7933aa09d8d8f9d9097ef37532a7df6497819d16efe4359890a2f417a \
+    --hash=sha256:edcfc407e4eb17e037bca59be0e85a2031a2ac87e4fed26d3e9df88b4165f92d \
+    --hash=sha256:eee3ea935c3d227d49b4eb85660ff631556841f6e567f0f7bda972df6c2c9935 \
+    --hash=sha256:ef97b8df011141c9b0f6caf23b29379f87dd13183c978a30a3c546d2c47314cb \
+    --hash=sha256:f106407dda69ae456dd1227966bf445b157ccc80ba0dff3802bb63f30b74e895 \
+    --hash=sha256:f3160309af4396e0ed04db259c3ccbfdc3621b5559b5453075e5de555e1f3a1b \
+    --hash=sha256:f32d6edbc638cde7652bd690c3e728b25332acbadd7cad670cc4a02558d9c417 \
+    --hash=sha256:f37cfe618a117e50d8c240555331160d73d0411422b59b5ee217843d7b693608 \
+    --hash=sha256:f4c9aee212bc89d4e13f58be11a56cc8036cabad119259d12ace14b34476fd07 \
+    --hash=sha256:f4d742cb7af1c28303a51b7a27aaee540e71bb8e24f68c736f6f2ffc82f2bf05 \
+    --hash=sha256:f5a8b53bdc0b3961f8b6125e198617c40aeed638b387913bf1ce78afb1b0be2a \
+    --hash=sha256:f816dd2277f8d63d79f9c8473a79fe54047bc0467754962840782c575522224d \
+    --hash=sha256:f9a9e8a507420fe35992ee9ecb302dab68550dedc0da9e2880dd88071c5fb052
+macholib==1.16.3 ; python_version >= "3.8" and python_version < "3.11" and sys_platform == "darwin" \
+    --hash=sha256:07ae9e15e8e4cd9a788013d81f5908b3609aa76f9b1421bae9c4d7606ec86a30 \
+    --hash=sha256:0e315d7583d38b8c77e815b1ecbdbf504a8258d8b3e17b61165c6feb60d18f2c
+markupsafe==2.1.5 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:00e046b6dd71aa03a41079792f8473dc494d564611a8f89bbbd7cb93295ebdcf \
+    --hash=sha256:075202fa5b72c86ad32dc7d0b56024ebdbcf2048c0ba09f1cde31bfdd57bcfff \
+    --hash=sha256:0e397ac966fdf721b2c528cf028494e86172b4feba51d65f81ffd65c63798f3f \
+    --hash=sha256:17b950fccb810b3293638215058e432159d2b71005c74371d784862b7e4683f3 \
+    --hash=sha256:1f3fbcb7ef1f16e48246f704ab79d79da8a46891e2da03f8783a5b6fa41a9532 \
+    --hash=sha256:2174c595a0d73a3080ca3257b40096db99799265e1c27cc5a610743acd86d62f \
+    --hash=sha256:2b7c57a4dfc4f16f7142221afe5ba4e093e09e728ca65c51f5620c9aaeb9a617 \
+    --hash=sha256:2d2d793e36e230fd32babe143b04cec8a8b3eb8a3122d2aceb4a371e6b09b8df \
+    --hash=sha256:30b600cf0a7ac9234b2638fbc0fb6158ba5bdcdf46aeb631ead21248b9affbc4 \
+    --hash=sha256:397081c1a0bfb5124355710fe79478cdbeb39626492b15d399526ae53422b906 \
+    --hash=sha256:3a57fdd7ce31c7ff06cdfbf31dafa96cc533c21e443d57f5b1ecc6cdc668ec7f \
+    --hash=sha256:3c6b973f22eb18a789b1460b4b91bf04ae3f0c4234a0a6aa6b0a92f6f7b951d4 \
+    --hash=sha256:3e53af139f8579a6d5f7b76549125f0d94d7e630761a2111bc431fd820e163b8 \
+    --hash=sha256:4096e9de5c6fdf43fb4f04c26fb114f61ef0bf2e5604b6ee3019d51b69e8c371 \
+    --hash=sha256:4275d846e41ecefa46e2015117a9f491e57a71ddd59bbead77e904dc02b1bed2 \
+    --hash=sha256:4c31f53cdae6ecfa91a77820e8b151dba54ab528ba65dfd235c80b086d68a465 \
+    --hash=sha256:4f11aa001c540f62c6166c7726f71f7573b52c68c31f014c25cc7901deea0b52 \
+    --hash=sha256:5049256f536511ee3f7e1b3f87d1d1209d327e818e6ae1365e8653d7e3abb6a6 \
+    --hash=sha256:58c98fee265677f63a4385256a6d7683ab1832f3ddd1e66fe948d5880c21a169 \
+    --hash=sha256:598e3276b64aff0e7b3451b72e94fa3c238d452e7ddcd893c3ab324717456bad \
+    --hash=sha256:5b7b716f97b52c5a14bffdf688f971b2d5ef4029127f1ad7a513973cfd818df2 \
+    --hash=sha256:5dedb4db619ba5a2787a94d877bc8ffc0566f92a01c0ef214865e54ecc9ee5e0 \
+    --hash=sha256:619bc166c4f2de5caa5a633b8b7326fbe98e0ccbfacabd87268a2b15ff73a029 \
+    --hash=sha256:629ddd2ca402ae6dbedfceeba9c46d5f7b2a61d9749597d4307f943ef198fc1f \
+    --hash=sha256:656f7526c69fac7f600bd1f400991cc282b417d17539a1b228617081106feb4a \
+    --hash=sha256:6ec585f69cec0aa07d945b20805be741395e28ac1627333b1c5b0105962ffced \
+    --hash=sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5 \
+    --hash=sha256:7502934a33b54030eaf1194c21c692a534196063db72176b0c4028e140f8f32c \
+    --hash=sha256:7a68b554d356a91cce1236aa7682dc01df0edba8d043fd1ce607c49dd3c1edcf \
+    --hash=sha256:7b2e5a267c855eea6b4283940daa6e88a285f5f2a67f2220203786dfa59b37e9 \
+    --hash=sha256:823b65d8706e32ad2df51ed89496147a42a2a6e01c13cfb6ffb8b1e92bc910bb \
+    --hash=sha256:8590b4ae07a35970728874632fed7bd57b26b0102df2d2b233b6d9d82f6c62ad \
+    --hash=sha256:8dd717634f5a044f860435c1d8c16a270ddf0ef8588d4887037c5028b859b0c3 \
+    --hash=sha256:8dec4936e9c3100156f8a2dc89c4b88d5c435175ff03413b443469c7c8c5f4d1 \
+    --hash=sha256:97cafb1f3cbcd3fd2b6fbfb99ae11cdb14deea0736fc2b0952ee177f2b813a46 \
+    --hash=sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc \
+    --hash=sha256:a549b9c31bec33820e885335b451286e2969a2d9e24879f83fe904a5ce59d70a \
+    --hash=sha256:ac07bad82163452a6884fe8fa0963fb98c2346ba78d779ec06bd7a6262132aee \
+    --hash=sha256:ae2ad8ae6ebee9d2d94b17fb62763125f3f374c25618198f40cbb8b525411900 \
+    --hash=sha256:b91c037585eba9095565a3556f611e3cbfaa42ca1e865f7b8015fe5c7336d5a5 \
+    --hash=sha256:bc1667f8b83f48511b94671e0e441401371dfd0f0a795c7daa4a3cd1dde55bea \
+    --hash=sha256:bec0a414d016ac1a18862a519e54b2fd0fc8bbfd6890376898a6c0891dd82e9f \
+    --hash=sha256:bf50cd79a75d181c9181df03572cdce0fbb75cc353bc350712073108cba98de5 \
+    --hash=sha256:bff1b4290a66b490a2f4719358c0cdcd9bafb6b8f061e45c7a2460866bf50c2e \
+    --hash=sha256:c061bb86a71b42465156a3ee7bd58c8c2ceacdbeb95d05a99893e08b8467359a \
+    --hash=sha256:c8b29db45f8fe46ad280a7294f5c3ec36dbac9491f2d1c17345be8e69cc5928f \
+    --hash=sha256:ce409136744f6521e39fd8e2a24c53fa18ad67aa5bc7c2cf83645cce5b5c4e50 \
+    --hash=sha256:d050b3361367a06d752db6ead6e7edeb0009be66bc3bae0ee9d97fb326badc2a \
+    --hash=sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b \
+    --hash=sha256:d9fad5155d72433c921b782e58892377c44bd6252b5af2f67f16b194987338a4 \
+    --hash=sha256:daa4ee5a243f0f20d528d939d06670a298dd39b1ad5f8a72a4275124a7819eff \
+    --hash=sha256:db0b55e0f3cc0be60c1f19efdde9a637c32740486004f20d1cff53c3c0ece4d2 \
+    --hash=sha256:e61659ba32cf2cf1481e575d0462554625196a1f2fc06a1c777d3f48e8865d46 \
+    --hash=sha256:ea3d8a3d18833cf4304cd2fc9cbb1efe188ca9b5efef2bdac7adc20594a0e46b \
+    --hash=sha256:ec6a563cff360b50eed26f13adc43e61bc0c04d94b8be985e6fb24b81f6dcfdf \
+    --hash=sha256:f5dfb42c4604dddc8e4305050aa6deb084540643ed5804d7455b5df8fe16f5e5 \
+    --hash=sha256:fa173ec60341d6bb97a89f5ea19c85c5643c1e7dedebc22f5181eb73573142c5 \
+    --hash=sha256:fa9db3f79de01457b03d4f01b34cf91bc0048eb2c3846ff26f66687c2f6d16ab \
+    --hash=sha256:fce659a462a1be54d2ffcacea5e3ba2d74daa74f30f5f143fe0c58636e355fdd \
+    --hash=sha256:ffee1f21e5ef0d712f9033568f8344d5da8cc2869dbd08d87c84656e6a2d2f68
+matplotlib==3.5.2 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:03bbb3f5f78836855e127b5dab228d99551ad0642918ccbf3067fcd52ac7ac5e \
+    --hash=sha256:24173c23d1bcbaed5bf47b8785d27933a1ac26a5d772200a0f3e0e38f471b001 \
+    --hash=sha256:2a0967d4156adbd0d46db06bc1a877f0370bce28d10206a5071f9ecd6dc60b79 \
+    --hash=sha256:2e8bda1088b941ead50caabd682601bece983cadb2283cafff56e8fcddbf7d7f \
+    --hash=sha256:31fbc2af27ebb820763f077ec7adc79b5a031c2f3f7af446bd7909674cd59460 \
+    --hash=sha256:364e6bca34edc10a96aa3b1d7cd76eb2eea19a4097198c1b19e89bee47ed5781 \
+    --hash=sha256:3d8e129af95b156b41cb3be0d9a7512cc6d73e2b2109f82108f566dbabdbf377 \
+    --hash=sha256:44c6436868186564450df8fd2fc20ed9daaef5caad699aa04069e87099f9b5a8 \
+    --hash=sha256:48cf850ce14fa18067f2d9e0d646763681948487a8080ec0af2686468b4607a2 \
+    --hash=sha256:49a5938ed6ef9dda560f26ea930a2baae11ea99e1c2080c8714341ecfda72a89 \
+    --hash=sha256:4a05f2b37222319753a5d43c0a4fd97ed4ff15ab502113e3f2625c26728040cf \
+    --hash=sha256:4a44cdfdb9d1b2f18b1e7d315eb3843abb097869cd1ef89cfce6a488cd1b5182 \
+    --hash=sha256:4fa28ca76ac5c2b2d54bc058b3dad8e22ee85d26d1ee1b116a6fd4d2277b6a04 \
+    --hash=sha256:5844cea45d804174bf0fac219b4ab50774e504bef477fc10f8f730ce2d623441 \
+    --hash=sha256:5a32ea6e12e80dedaca2d4795d9ed40f97bfa56e6011e14f31502fdd528b9c89 \
+    --hash=sha256:6c623b355d605a81c661546af7f24414165a8a2022cddbe7380a31a4170fa2e9 \
+    --hash=sha256:751d3815b555dcd6187ad35b21736dc12ce6925fc3fa363bbc6dc0f86f16484f \
+    --hash=sha256:75c406c527a3aa07638689586343f4b344fcc7ab1f79c396699eb550cd2b91f7 \
+    --hash=sha256:77157be0fc4469cbfb901270c205e7d8adb3607af23cef8bd11419600647ceed \
+    --hash=sha256:7d7705022df2c42bb02937a2a824f4ec3cca915700dd80dc23916af47ff05f1a \
+    --hash=sha256:7f409716119fa39b03da3d9602bd9b41142fab7a0568758cd136cd80b1bf36c8 \
+    --hash=sha256:9480842d5aadb6e754f0b8f4ebeb73065ac8be1855baa93cd082e46e770591e9 \
+    --hash=sha256:9776e1a10636ee5f06ca8efe0122c6de57ffe7e8c843e0fb6e001e9d9256ec95 \
+    --hash=sha256:a91426ae910819383d337ba0dc7971c7cefdaa38599868476d94389a329e599b \
+    --hash=sha256:b4fedaa5a9aa9ce14001541812849ed1713112651295fdddd640ea6620e6cf98 \
+    --hash=sha256:b6c63cd01cad0ea8704f1fd586e9dc5777ccedcd42f63cbbaa3eae8dd41172a1 \
+    --hash=sha256:b8d3f4e71e26307e8c120b72c16671d70c5cd08ae412355c11254aa8254fb87f \
+    --hash=sha256:c4b82c2ae6d305fcbeb0eb9c93df2602ebd2f174f6e8c8a5d92f9445baa0c1d3 \
+    --hash=sha256:c772264631e5ae61f0bd41313bbe48e1b9bcc95b974033e1118c9caa1a84d5c6 \
+    --hash=sha256:c87973ddec10812bddc6c286b88fdd654a666080fbe846a1f7a3b4ba7b11ab78 \
+    --hash=sha256:e2b696699386766ef171a259d72b203a3c75d99d03ec383b97fc2054f52e15cf \
+    --hash=sha256:ea75df8e567743207e2b479ba3d8843537be1c146d4b1e3e395319a4e1a77fe9 \
+    --hash=sha256:ebc27ad11df3c1661f4677a7762e57a8a91dd41b466c3605e90717c9a5f90c82 \
+    --hash=sha256:ee0b8e586ac07f83bb2950717e66cb305e2859baf6f00a9c39cc576e0ce9629c \
+    --hash=sha256:ee175a571e692fc8ae8e41ac353c0e07259113f4cb063b0ec769eff9717e84bb
+numpy==1.24.4 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:04640dab83f7c6c85abf9cd729c5b65f1ebd0ccf9de90b270cd61935eef0197f \
+    --hash=sha256:1452241c290f3e2a312c137a9999cdbf63f78864d63c79039bda65ee86943f61 \
+    --hash=sha256:222e40d0e2548690405b0b3c7b21d1169117391c2e82c378467ef9ab4c8f0da7 \
+    --hash=sha256:2541312fbf09977f3b3ad449c4e5f4bb55d0dbf79226d7724211acc905049400 \
+    --hash=sha256:31f13e25b4e304632a4619d0e0777662c2ffea99fcae2029556b17d8ff958aef \
+    --hash=sha256:4602244f345453db537be5314d3983dbf5834a9701b7723ec28923e2889e0bb2 \
+    --hash=sha256:4979217d7de511a8d57f4b4b5b2b965f707768440c17cb70fbf254c4b225238d \
+    --hash=sha256:4c21decb6ea94057331e111a5bed9a79d335658c27ce2adb580fb4d54f2ad9bc \
+    --hash=sha256:6620c0acd41dbcb368610bb2f4d83145674040025e5536954782467100aa8835 \
+    --hash=sha256:692f2e0f55794943c5bfff12b3f56f99af76f902fc47487bdfe97856de51a706 \
+    --hash=sha256:7215847ce88a85ce39baf9e89070cb860c98fdddacbaa6c0da3ffb31b3350bd5 \
+    --hash=sha256:79fc682a374c4a8ed08b331bef9c5f582585d1048fa6d80bc6c35bc384eee9b4 \
+    --hash=sha256:7ffe43c74893dbf38c2b0a1f5428760a1a9c98285553c89e12d70a96a7f3a4d6 \
+    --hash=sha256:80f5e3a4e498641401868df4208b74581206afbee7cf7b8329daae82676d9463 \
+    --hash=sha256:95f7ac6540e95bc440ad77f56e520da5bf877f87dca58bd095288dce8940532a \
+    --hash=sha256:9667575fb6d13c95f1b36aca12c5ee3356bf001b714fc354eb5465ce1609e62f \
+    --hash=sha256:a5425b114831d1e77e4b5d812b69d11d962e104095a5b9c3b641a218abcc050e \
+    --hash=sha256:b4bea75e47d9586d31e892a7401f76e909712a0fd510f58f5337bea9572c571e \
+    --hash=sha256:b7b1fc9864d7d39e28f41d089bfd6353cb5f27ecd9905348c24187a768c79694 \
+    --hash=sha256:befe2bf740fd8373cf56149a5c23a0f601e82869598d41f8e188a0e9869926f8 \
+    --hash=sha256:c0bfb52d2169d58c1cdb8cc1f16989101639b34c7d3ce60ed70b19c63eba0b64 \
+    --hash=sha256:d11efb4dbecbdf22508d55e48d9c8384db795e1b7b51ea735289ff96613ff74d \
+    --hash=sha256:dd80e219fd4c71fc3699fc1dadac5dcf4fd882bfc6f7ec53d30fa197b8ee22dc \
+    --hash=sha256:e2926dac25b313635e4d6cf4dc4e51c8c0ebfed60b801c799ffc4c32bf3d1254 \
+    --hash=sha256:e98f220aa76ca2a977fe435f5b04d7b3470c0a2e6312907b37ba6068f26787f2 \
+    --hash=sha256:ed094d4f0c177b1b8e7aa9cba7d6ceed51c0e569a5318ac0ca9a090680a6a1b1 \
+    --hash=sha256:f136bab9c2cfd8da131132c2cf6cc27331dd6fae65f95f69dcd4ae3c3639c810 \
+    --hash=sha256:f3a86ed21e4f87050382c7bc96571755193c4c1392490744ac73d660e8f564a9
+packaging==24.1 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002 \
+    --hash=sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124
+pandas==1.5.3 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:14e45300521902689a81f3f41386dc86f19b8ba8dd5ac5a3c7010ef8d2932813 \
+    --hash=sha256:26d9c71772c7afb9d5046e6e9cf42d83dd147b5cf5bcb9d97252077118543792 \
+    --hash=sha256:3749077d86e3a2f0ed51367f30bf5b82e131cc0f14260c4d3e499186fccc4406 \
+    --hash=sha256:41179ce559943d83a9b4bbacb736b04c928b095b5f25dd2b7389eda08f46f373 \
+    --hash=sha256:478ff646ca42b20376e4ed3fa2e8d7341e8a63105586efe54fa2508ee087f328 \
+    --hash=sha256:50869a35cbb0f2e0cd5ec04b191e7b12ed688874bd05dd777c19b28cbea90996 \
+    --hash=sha256:565fa34a5434d38e9d250af3c12ff931abaf88050551d9fbcdfafca50d62babf \
+    --hash=sha256:5f2b952406a1588ad4cad5b3f55f520e82e902388a6d5a4a91baa8d38d23c7f6 \
+    --hash=sha256:5fbcb19d6fceb9e946b3e23258757c7b225ba450990d9ed63ccceeb8cae609f7 \
+    --hash=sha256:6973549c01ca91ec96199e940495219c887ea815b2083722821f1d7abfa2b4dc \
+    --hash=sha256:74a3fd7e5a7ec052f183273dc7b0acd3a863edf7520f5d3a1765c04ffdb3b0b1 \
+    --hash=sha256:7a0a56cef15fd1586726dace5616db75ebcfec9179a3a55e78f72c5639fa2a23 \
+    --hash=sha256:7cec0bee9f294e5de5bbfc14d0573f65526071029d036b753ee6507d2a21480a \
+    --hash=sha256:87bd9c03da1ac870a6d2c8902a0e1fd4267ca00f13bc494c9e5a9020920e1d51 \
+    --hash=sha256:972d8a45395f2a2d26733eb8d0f629b2f90bebe8e8eddbb8829b180c09639572 \
+    --hash=sha256:9842b6f4b8479e41968eced654487258ed81df7d1c9b7b870ceea24ed9459b31 \
+    --hash=sha256:9f69c4029613de47816b1bb30ff5ac778686688751a5e9c99ad8c7031f6508e5 \
+    --hash=sha256:a50d9a4336a9621cab7b8eb3fb11adb82de58f9b91d84c2cd526576b881a0c5a \
+    --hash=sha256:bc4c368f42b551bf72fac35c5128963a171b40dce866fb066540eeaf46faa003 \
+    --hash=sha256:c39a8da13cede5adcd3be1182883aea1c925476f4e84b2807a46e2775306305d \
+    --hash=sha256:c3ac844a0fe00bfaeb2c9b51ab1424e5c8744f89860b138434a363b1f620f354 \
+    --hash=sha256:c4c00e0b0597c8e4f59e8d461f797e5d70b4d025880516a8261b2817c47759ee \
+    --hash=sha256:c74a62747864ed568f5a82a49a23a8d7fe171d0c69038b38cedf0976831296fa \
+    --hash=sha256:dd05f7783b3274aa206a1af06f0ceed3f9b412cf665b7247eacd83be41cf7bf0 \
+    --hash=sha256:dfd681c5dc216037e0b0a2c821f5ed99ba9f03ebcf119c7dac0e9a7b960b9ec9 \
+    --hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \
+    --hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc
+paramiko==3.5.0 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:1fedf06b085359051cd7d0d270cebe19e755a8a921cc2ddbfa647fb0cd7d68f9 \
+    --hash=sha256:ad11e540da4f55cedda52931f1a3f812a8238a7af7f62a60de538cd80bb28124
+pefile==2024.8.26 ; python_version >= "3.8" and python_version < "3.11" and sys_platform == "win32" \
+    --hash=sha256:3ff6c5d8b43e8c37bb6e6dd5085658d658a7a0bdcd20b6a07b1fcfc1c4e9d632 \
+    --hash=sha256:76f8b485dcd3b1bb8166f1128d395fa3d87af26360c2358fb75b80019b957c6f
+pillow==10.4.0 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:02a2be69f9c9b8c1e97cf2713e789d4e398c751ecfd9967c18d0ce304efbf885 \
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+    --hash=sha256:ff337c552345e95702c5fde3158acb0625111017d0e5f24bf3acdb9cc16b90d1
+pycparser==2.22 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6 \
+    --hash=sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc
+pyinstaller-hooks-contrib==2024.9 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:1ddf9ba21d586afa84e505bb5c65fca10b22500bf3fdb89ee2965b99da53b891 \
+    --hash=sha256:4793869f370d1dc4806c101efd2890e3c3e703467d8d27bb5a3db005ebfb008d
+pyinstaller==5.13.2 ; python_version >= "3.8" and python_version < "3.11" \
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+    --hash=sha256:27cd64e7cc6b74c5b1066cbf47d75f940b71356166031deb9778a2579bb874c6 \
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+    --hash=sha256:421cd24f26144f19b66d3868b49ed673176765f92fa9f7914cd2158d25b6d17e \
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+    --hash=sha256:ddcc2b36052a70052479a9e5da1af067b4496f43686ca3cdda99f8367d0627e4
+pynacl==1.5.0 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:06b8f6fa7f5de8d5d2f7573fe8c863c051225a27b61e6860fd047b1775807858 \
+    --hash=sha256:0c84947a22519e013607c9be43706dd42513f9e6ae5d39d3613ca1e142fba44d \
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+    --hash=sha256:e46dae94e34b085175f8abb3b0aaa7da40767865ac82c928eeb9e57e1ea8a543
+pyparsing==3.1.4 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:a6a7ee4235a3f944aa1fa2249307708f893fe5717dc603503c6c7969c070fb7c \
+    --hash=sha256:f86ec8d1a83f11977c9a6ea7598e8c27fc5cddfa5b07ea2241edbbde1d7bc032
+python-dateutil==2.9.0.post0 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3 \
+    --hash=sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427
+pytz==2024.2 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:2aa355083c50a0f93fa581709deac0c9ad65cca8a9e9beac660adcbd493c798a \
+    --hash=sha256:31c7c1817eb7fae7ca4b8c7ee50c72f93aa2dd863de768e1ef4245d426aa0725
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+    --hash=sha256:8a1513379d709975552d202d942d9837758905c8d01eb82b8bcc30918929e7b8 \
+    --hash=sha256:d162dc04946d704503b2edc4d55f3dba5c1d539ead017afa00142c38b9885755
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+    --hash=sha256:ce826d6ef20b1bc864f0a68340c8b3287705cae2f8b4b1d932177dcc76721725 \
+    --hash=sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e \
+    --hash=sha256:d7fded462629cfa4b685c5416b949ebad6cec74af5e2d42905d41e257e0869f5 \
+    --hash=sha256:d84a1718ee396f54f3a086ea0a66d8e552b2ab2017ef8b420e92edbc841c352d \
+    --hash=sha256:d8e03406cac8513435335dbab54c0d385e4a49e4945d2909a581c83647ca0290 \
+    --hash=sha256:e10ce637b18caea04431ce14fabcf5c64a1c61ec9c56b071a4b7ca131ca52d44 \
+    --hash=sha256:ec031d5d2feb36d1d1a24380e4db6d43695f3748343d99434e6f5f9156aaa2ed \
+    --hash=sha256:ef6107725bd54b262d6dedcc2af448a266975032bc85ef0172c5f059da6325b4 \
+    --hash=sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba \
+    --hash=sha256:f753120cb8181e736c57ef7636e83f31b9c0d1722c516f7e86cf15b7aa57ff12 \
+    --hash=sha256:ff3824dc5261f50c9b0dfb3be22b4567a6f938ccce4587b38952d85fd9e9afe4
+scipy==1.10.1 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:049a8bbf0ad95277ffba9b3b7d23e5369cc39e66406d60422c8cfef40ccc8415 \
+    --hash=sha256:07c3457ce0b3ad5124f98a86533106b643dd811dd61b548e78cf4c8786652f6f \
+    --hash=sha256:0f1564ea217e82c1bbe75ddf7285ba0709ecd503f048cb1236ae9995f64217bd \
+    --hash=sha256:1553b5dcddd64ba9a0d95355e63fe6c3fc303a8fd77c7bc91e77d61363f7433f \
+    --hash=sha256:15a35c4242ec5f292c3dd364a7c71a61be87a3d4ddcc693372813c0b73c9af1d \
+    --hash=sha256:1b4735d6c28aad3cdcf52117e0e91d6b39acd4272f3f5cd9907c24ee931ad601 \
+    --hash=sha256:2cf9dfb80a7b4589ba4c40ce7588986d6d5cebc5457cad2c2880f6bc2d42f3a5 \
+    --hash=sha256:39becb03541f9e58243f4197584286e339029e8908c46f7221abeea4b749fa88 \
+    --hash=sha256:43b8e0bcb877faf0abfb613d51026cd5cc78918e9530e375727bf0625c82788f \
+    --hash=sha256:4b3f429188c66603a1a5c549fb414e4d3bdc2a24792e061ffbd607d3d75fd84e \
+    --hash=sha256:4c0ff64b06b10e35215abce517252b375e580a6125fd5fdf6421b98efbefb2d2 \
+    --hash=sha256:51af417a000d2dbe1ec6c372dfe688e041a7084da4fdd350aeb139bd3fb55353 \
+    --hash=sha256:5678f88c68ea866ed9ebe3a989091088553ba12c6090244fdae3e467b1139c35 \
+    --hash=sha256:79c8e5a6c6ffaf3a2262ef1be1e108a035cf4f05c14df56057b64acc5bebffb6 \
+    --hash=sha256:7ff7f37b1bf4417baca958d254e8e2875d0cc23aaadbe65b3d5b3077b0eb23ea \
+    --hash=sha256:aaea0a6be54462ec027de54fca511540980d1e9eea68b2d5c1dbfe084797be35 \
+    --hash=sha256:bce5869c8d68cf383ce240e44c1d9ae7c06078a9396df68ce88a1230f93a30c1 \
+    --hash=sha256:cd9f1027ff30d90618914a64ca9b1a77a431159df0e2a195d8a9e8a04c78abf9 \
+    --hash=sha256:d925fa1c81b772882aa55bcc10bf88324dadb66ff85d548c71515f6689c6dac5 \
+    --hash=sha256:e7354fd7527a4b0377ce55f286805b34e8c54b91be865bac273f527e1b839019 \
+    --hash=sha256:fae8a7b898c42dffe3f7361c40d5952b6bf32d10c4569098d276b4c547905ee1
+seaborn==0.11.2 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:85a6baa9b55f81a0623abddc4a26b334653ff4c6b18c418361de19dbba0ef283 \
+    --hash=sha256:cf45e9286d40826864be0e3c066f98536982baf701a7caa386511792d61ff4f6
+setuptools==75.3.0 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:f2504966861356aa38616760c0f66568e535562374995367b4e69c7143cf6bcd \
+    --hash=sha256:fba5dd4d766e97be1b1681d98712680ae8f2f26d7881245f2ce9e40714f1a686
+six==1.16.0 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \
+    --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254
+spacepy==0.4.1 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:06a6c2a8941a4c1ef1928b9189485f22fca64d8689a72f90343ae195d6181d59 \
+    --hash=sha256:0fc241124ee9f341fe9a51822d4d4bc2f4ec16b6e9e6376363b968864e7d7923 \
+    --hash=sha256:1e9ef148156a0648dc1248f4a2eeef7a7639a475e59ed6d47a150257f59aa725 \
+    --hash=sha256:8ce5169b585026dd0e81456f3ee8a3ac45874a8b9224dd6e07d92ffc9754a69d \
+    --hash=sha256:ba4129a94aa6ac1a22e631df2cc0e790f631f2b92368607277fe6e0d7f75340b \
+    --hash=sha256:cd4d549e06f807c4bcfbbc01eebfa3bb041b1a3535f0a574125c4eaf267f58aa
+tabulate==0.8.10 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:0ba055423dbaa164b9e456abe7920c5e8ed33fcc16f6d1b2f2d152c8e1e8b4fc \
+    --hash=sha256:6c57f3f3dd7ac2782770155f3adb2db0b1a269637e42f27599925e64b114f519
+tk==0.1.0 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:60bc8923d5d35f67f5c6bd93d4f0c49d2048114ec077768f959aef36d4ed97f8 \
+    --hash=sha256:703a69ff0d5ba2bd2f7440582ad10160e4a6561595d33457dc6caa79b9bf4930
+tornado==6.4.1 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:163b0aafc8e23d8cdc3c9dfb24c5368af84a81e3364745ccb4427669bf84aec8 \
+    --hash=sha256:25486eb223babe3eed4b8aecbac33b37e3dd6d776bc730ca14e1bf93888b979f \
+    --hash=sha256:454db8a7ecfcf2ff6042dde58404164d969b6f5d58b926da15e6b23817950fc4 \
+    --hash=sha256:613bf4ddf5c7a95509218b149b555621497a6cc0d46ac341b30bd9ec19eac7f3 \
+    --hash=sha256:6d5ce3437e18a2b66fbadb183c1d3364fb03f2be71299e7d10dbeeb69f4b2a14 \
+    --hash=sha256:8ae50a504a740365267b2a8d1a90c9fbc86b780a39170feca9bcc1787ff80842 \
+    --hash=sha256:92d3ab53183d8c50f8204a51e6f91d18a15d5ef261e84d452800d4ff6fc504e9 \
+    --hash=sha256:a02a08cc7a9314b006f653ce40483b9b3c12cda222d6a46d4ac63bb6c9057698 \
+    --hash=sha256:b24b8982ed444378d7f21d563f4180a2de31ced9d8d84443907a0a64da2072e7 \
+    --hash=sha256:d9a566c40b89757c9aa8e6f032bcdb8ca8795d7c1a9762910c722b1635c9de4d \
+    --hash=sha256:e2e20b9113cd7293f164dc46fffb13535266e713cdb87bd2d15ddb336e96cfc4
+wand==0.6.13 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:e5dda0ac2204a40c29ef5c4cb310770c95d3d05c37b1379e69c94ea79d7d19c0 \
+    --hash=sha256:f5013484eaf7a20eb22d1821aaefe60b50cc329722372b5f8565d46d4aaafcca
+xyzservices==2024.9.0 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:68fb8353c9dbba4f1ff6c0f2e5e4e596bb9e1db7f94f4f7dfbcb26e25aa66fde \
+    --hash=sha256:776ae82b78d6e5ca63dd6a94abb054df8130887a4a308473b54a6bd364de8644
+zipp==3.20.2 ; python_version >= "3.8" and python_version < "3.10" \
+    --hash=sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350 \
+    --hash=sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29

From 4e31f4c5d387feae20fe74d8e2d954efd5775808 Mon Sep 17 00:00:00 2001
From: lexibu <leximoon@bu.edu>
Date: Wed, 30 Oct 2024 13:13:28 -0400
Subject: [PATCH 5/8] mac edits

---
 .gitignore                     |  3 +++
 codes/luigi.cfg                | 16 ++++++------
 codes/lxi_file_read_funcs.py   | 48 ++++++++++++++++++----------------
 codes/lxi_gui.py               | 45 +++++++++++++++++--------------
 codes/lxi_gui_plot_routines.py |  6 ++---
 5 files changed, 65 insertions(+), 53 deletions(-)

diff --git a/.gitignore b/.gitignore
index 7b643b3..82f0dd4 100644
--- a/.gitignore
+++ b/.gitignore
@@ -145,3 +145,6 @@ luigi.cfg
 poetry.lock
 
 .flake8
+
+# Ignore the .ds store file
+.DS_Store
diff --git a/codes/luigi.cfg b/codes/luigi.cfg
index 5018db9..2ee41d9 100644
--- a/codes/luigi.cfg
+++ b/codes/luigi.cfg
@@ -9,18 +9,18 @@ c_max_entry = 500
 density_status = False
 norm_type = linear
 unit_type = mcp
-v_min_thresh_entry = 1.2
-v_max_thresh_entry = 3.4
-v_sum_min_thresh_entry = 7
-v_sum_max_thresh_entry = 8
-cut_status = True
-curve_fit_status = True
-lin_corr_status = True
+v_min_thresh_entry = 0
+v_max_thresh_entry = 4
+v_sum_min_thresh_entry = 0
+v_sum_max_thresh_entry = 20
+cut_status = False
+curve_fit_status = False
+lin_corr_status = False
 non_lin_corr_status = False
 cmap = viridis
 
 [time_options]
-start_time = 2024-11-16 10:00:00
+start_time = 2023-11-16 10:00:00
 end_time = 2024-11-16 16:32:52
 time_threshold = 60
 
diff --git a/codes/lxi_file_read_funcs.py b/codes/lxi_file_read_funcs.py
index ad7c9e0..0355d68 100644
--- a/codes/lxi_file_read_funcs.py
+++ b/codes/lxi_file_read_funcs.py
@@ -2,6 +2,7 @@
 import datetime
 import importlib
 import os
+import platform
 import logging
 import struct
 from pathlib import Path
@@ -407,15 +408,15 @@ def read_binary_data_sci(
 
     # Split the file name in a folder and a file name
     # Format filenames and folder names for the different operating systems
-    if os.name == "posix":
+    if platform.system() == "Linux":
         output_file_name = os.path.basename(os.path.normpath(in_file_name)).split(".")[0] + "_sci_output.csv"
         output_folder_name = os.path.dirname(os.path.normpath(in_file_name)) + "/processed_data/sci"
         save_file_name = output_folder_name + "/" + output_file_name
-    elif os.name == "nt":
+    elif platform.system() == "Windows":
         output_file_name = os.path.basename(os.path.normpath(in_file_name)).split(".")[0] + "_sci_output.csv"
         output_folder_name = os.path.dirname(os.path.normpath(in_file_name)) + "\\processed_data\\sci"
         save_file_name = output_folder_name + "\\" + output_file_name
-    elif os.name == "darwin":
+    elif platform.system() == "Darwin":
         output_file_name = os.path.basename(os.path.normpath(in_file_name)).split(".")[0] + "_sci_output.csv"
         output_folder_name = os.path.dirname(os.path.normpath(in_file_name)) + "/processed_data/sci"
         save_file_name = output_folder_name + "/" + output_file_name
@@ -518,7 +519,7 @@ def read_binary_data_sci(
     df = pd.read_csv(save_file_name)
 
     # Convert the date column to datetime
-    df["Date"] = pd.to_datetime(df["Date"])
+    df["Date"] = pd.to_datetime(df["Date"], format="mixed")
 
     # Set index to the date
     df.set_index("Date", inplace=False)
@@ -850,7 +851,8 @@ def read_binary_data_hk(
     for key in df.keys():
         for ii in range(1, len(df[key])):
             if np.isnan(df[key][ii]):
-                df[key][ii] = df[key][ii - 1]
+                # df[key][ii] = df[key][ii - 1]
+                df.loc[ii, key] = df.loc[ii - 1, key]
 
     # Set the date column to the Date_datetime
     df["Date"] = Date_datetime
@@ -881,15 +883,15 @@ def read_binary_data_hk(
     df.set_index("Date", inplace=True, drop=False)
     # Split the file name in a folder and a file name
     # Format filenames and folder names for the different operating systems
-    if os.name == "posix":
+    if platform.system() == "Linux":
         output_folder_name = os.path.dirname(os.path.normpath(in_file_name)) + "/processed_data/hk"
         output_file_name = os.path.basename(os.path.normpath(in_file_name)).split(".")[0] + "_hk_output.csv"
         save_file_name = output_folder_name + "/" + output_file_name
-    elif os.name == "nt":
+    elif platform.system() == "Windows":
         output_folder_name = os.path.dirname(os.path.normpath(in_file_name)) + "\\processed_data\\hk"
         output_file_name = os.path.basename(os.path.normpath(in_file_name)).split(".")[0] + "_hk_output.csv"
         save_file_name = output_folder_name + "\\" + output_file_name
-    elif os.name == "darwin":
+    elif platform.system() == "Darwin":
         output_folder_name = os.path.dirname(os.path.normpath(in_file_name)) + "/processed_data/hk"
         output_file_name = os.path.basename(os.path.normpath(in_file_name)).split(".")[0] + "_hk_output.csv"
         save_file_name = output_folder_name + "/" + output_file_name
@@ -916,11 +918,11 @@ def open_file_sci(start_time=None, end_time=None):
     )
 
     # Get the file name from the file path for different operating systems
-    if os.name == "posix":
+    if platform.system() == "Linux":
         file_name_sci = file_val.split("/")[-1]
-    elif os.name == "nt":
+    elif platform.system() == "Windows":
         file_name_sci = file_val.split("\\")[-1]
-    elif os.name == "darwin":
+    elif platform.system() == "Darwin":
         file_name_sci = file_val.split("/")[-1]
     else:
         raise OSError("Operating system not supported.")
@@ -945,11 +947,11 @@ def open_file_hk(start_time=None, end_time=None):
     )
     
     # Get the file name from the file path for different operating systems
-    if os.name == "posix":
+    if platform.system() == "Linux":
         file_name_hk = file_val.split("/")[-1]
-    elif os.name == "nt":
+    elif platform.system() == "Windows":
         file_name_hk = file_val.split("\\")[-1]
-    elif os.name == "darwin":
+    elif platform.system() == "Darwin":
         file_name_hk = file_val.split("/")[-1]
     else:
         raise OSError("Operating system not supported.")
@@ -1219,10 +1221,10 @@ def read_csv_sci(file_val=None, t_start=None, t_end=None):
 
     # Convert the Date column from string to datetime in utc
     try:
-        df["Date"] = pd.to_datetime(df["Date"], utc=True)
+        df["Date"] = pd.to_datetime(df["Date"], utc=True, format="mixed")
     except Exception:
         # Convert timestamp to datetime and set it to Date
-        df["Date"] = pd.to_datetime(df["TimeStamp"], unit="s", utc=True)
+        df["Date"] = pd.to_datetime(df["TimeStamp"], unit="s", utc=True, format="mixed")
 
     # Set the index to the time column
     df.set_index("Date", inplace=True)
@@ -1382,10 +1384,10 @@ def read_csv_hk(file_val=None, t_start=None, t_end=None):
 
     # Convert the Date column from string to datetime in utc
     try:
-        df["Date"] = pd.to_datetime(df["Date"], utc=True)
+        df["Date"] = pd.to_datetime(df["Date"], utc=True, format="mixed")
     except Exception:
         # Convert timestamp to datetime and set it to Date
-        df["Date"] = pd.to_datetime(df["TimeStamp"], unit="s", utc=True)
+        df["Date"] = pd.to_datetime(df["TimeStamp"], unit="s", utc=True, format="mixed")
 
     # Set the index to the time column
     df.set_index("Date", inplace=True)
@@ -1465,8 +1467,8 @@ def read_binary_file(file_val=None, t_start=None, t_end=None, multiple_files=Fal
 
         if t_start is not None and t_end is not None:
             # Convert t_start and t_end from string to datetime in UTC timezone
-            t_start = pd.to_datetime(t_start, utc=True)
-            t_end = pd.to_datetime(t_end, utc=True)
+            t_start = pd.to_datetime(t_start, utc=True, format="mixed")
+            t_end = pd.to_datetime(t_end, utc=True, format="mixed")
 
             try:
                 # Convert t_start and t_end from string to unix time in seconds in UTC timezone
@@ -1555,7 +1557,7 @@ def read_binary_file(file_val=None, t_start=None, t_end=None, multiple_files=Fal
             os.makedirs(save_dir)
 
         # Get the file name based on the os path
-        if os.name == "nt":
+        if platform.system() == "Windows":
             file_name_hk = save_dir + "\\processed_data\\hk\\" + \
                 file_name_hk_list[0].split("\\")[-1].split('.')[0].split('_')[0] + '_' + \
                 file_name_hk_list[0].split("\\")[-1].split('.')[0].split('_')[1] + '_' + \
@@ -1571,7 +1573,7 @@ def read_binary_file(file_val=None, t_start=None, t_end=None, multiple_files=Fal
                 file_name_hk_list[0].split("\\")[-1].split('.')[0].split('_')[3] + '_' + \
                 file_name_sci_list[-1].split("\\")[-1].split('.')[0].split('_')[-4] + '_' + \
                 file_name_sci_list[-1].split("\\")[-1].split('.')[0].split('_')[-3] + '_sci_output.csv'
-        elif os.name == "posix":
+        elif platform.system() == "Linux":
             file_name_hk = save_dir + "/processed_data/hk/" + \
                 file_name_hk_list[0].split("/")[-1].split('.')[0].split('_')[0] + '_' + \
                 file_name_hk_list[0].split("/")[-1].split('.')[0].split('_')[1] + '_' + \
@@ -1587,7 +1589,7 @@ def read_binary_file(file_val=None, t_start=None, t_end=None, multiple_files=Fal
                 file_name_hk_list[0].split("/")[-1].split('.')[0].split('_')[3] + '_' + \
                 file_name_sci_list[-1].split("/")[-1].split('.')[0].split('_')[-4] + '_' + \
                 file_name_sci_list[-1].split("/")[-1].split('.')[0].split('_')[-3] + '_sci_output.csv'
-        elif os.name == "darwin":
+        elif platform.system() == "Darwin":
             file_name_hk = save_dir + "/processed_data/hk/" + \
                 file_name_hk_list[0].split("/")[-1].split('.')[0].split('_')[0] + '_' + \
                 file_name_hk_list[0].split("/")[-1].split('.')[0].split('_')[1] + '_' + \
diff --git a/codes/lxi_gui.py b/codes/lxi_gui.py
index 5795a1e..2b0270a 100644
--- a/codes/lxi_gui.py
+++ b/codes/lxi_gui.py
@@ -1,6 +1,5 @@
 import importlib
 import logging
-import os
 import platform
 from pathlib import Path
 import tkinter as tk
@@ -83,14 +82,14 @@ def hist_plot_inputs(dpi=100):
             "sticky_channel24": "nesw",
             "row_span_channel24": 6,
             "column_span_channel24": 3,
-            "hist_fig_height": screen_height / (2.2 * dpi),
-            "hist_fig_width": screen_width / (2.2 * dpi),
+            "hist_fig_height": screen_height / (4 * dpi),
+            "hist_fig_width": screen_width / (4 * dpi),
             "hist_colspan": 7,
             "hist_rowspan": 20,
-            "channel13_fig_height": screen_height / (3 * dpi),
-            "channel13_fig_width": screen_width / (3 * dpi),
-            "channel24_fig_height": screen_height / (3 * dpi),
-            "channel24_fig_width": screen_width / (3 * dpi),
+            "channel13_fig_height": screen_height / (6 * dpi),
+            "channel13_fig_width": screen_width / (6 * dpi),
+            "channel24_fig_height": screen_height / (6 * dpi),
+            "channel24_fig_width": screen_width / (6 * dpi),
             "v_min": v_min_thresh_entry.get(),
             "v_max": v_max_thresh_entry.get(),
             "v_sum_min": v_sum_min_thresh_entry.get(),
@@ -132,8 +131,8 @@ def ts_plot_inputs(
         "column": column,
         "columnspan": columnspan,
         "rowspan": rowspan,
-        "fig_width": screen_width / (2 * dpi),
-        "fig_height": screen_height / (3 * dpi),
+        "fig_width": screen_width / (3.5 * dpi),
+        "fig_height": screen_height / (4 * dpi),
         "dark_mode": dark_mode_var.get(),
         "time_type": time_type.get(),
     }
@@ -448,7 +447,8 @@ def dark_mode_change():
 
 # Get the DPI of the screen. This is used to scale the figure size.
 dpi = root.winfo_fpixels("1i")
-
+# dpi = 100
+print(f"The DPI of the screen is: {dpi}")
 # NOTE: This hack is necessary since I am using multiple monitors. This can be edited as we work on
 # a different machine.
 # Check whether the operating system is windows or linux, and assign the correct screen width and
@@ -463,17 +463,24 @@ def dark_mode_change():
         0.45 * root.winfo_screenwidth(),
         0.8 * root.winfo_screenheight(),
     )
+if platform.system() == "Darwin":
+    screen_width, screen_height = (
+        0.9 * root.winfo_screenwidth(),
+        0.9 * root.winfo_screenheight(),
+    )
+    print(f"The screen width and height are: {screen_width}, {screen_height} for platform: {platform.system()}")
 else:
     screen_width, screen_height = (
         0.8 * root.winfo_screenwidth(),
         0.8 * root.winfo_screenheight(),
     )
 
-screen_width = 1250
-screen_height = 800
-# print(
-#     "If the GUI size is messed up, check comment on line #215 of the code 'lxi_gui.py'."
-# )
+# screen_width = 1000
+# screen_height = 800
+print(
+    "If the GUI size is messed up, uncomment the line 474 and 475 of lxi_gui.py code and set the "
+    "screen_width and screen_height to your liking."
+)
 
 # Set the title of the main window.
 root.title("LEXI GUI")
@@ -903,14 +910,14 @@ def dark_mode_change():
 # Set the default folder name in the text box
 # folder_path.insert(1, "For multiple files, enter the folder path here")
 # Insert the default folder path in the text box based on the operating system
-if os.name == "nt":
+if platform.system() == "Windows":
     folder_path.insert(
         1, r"C:\Users\Lexi-Admin\Documents\GitHub\Lexi-BU\lxi_gui\data\from_ff"
     )
-elif os.name == "posix":
+elif platform.system() == "Linux":
     folder_path.insert(1, "/home/cephadrius/Desktop/git/Lexi-BU/lxi_gui/data/test/20241010/recovery_files/")
-elif os.name == "darwin":
-    folder_path.insert(1, "../git_data/")
+elif platform.system() == "Darwin":
+    folder_path.insert(1, "/Users/mac/Documents/GitHub/Lexi-BU/lxi_gui/git_data/sample_datasets/")
 else:
     raise OSError("Operating system not supported")
 
diff --git a/codes/lxi_gui_plot_routines.py b/codes/lxi_gui_plot_routines.py
index edba243..32ca4e1 100644
--- a/codes/lxi_gui_plot_routines.py
+++ b/codes/lxi_gui_plot_routines.py
@@ -343,13 +343,13 @@ def ts_plots(self):
         elif self.time_type == "UTC":
             # Convert self.df_slice_hk.utc_time from string to datetime
             self.df_slice_hk.utc_time = pd.to_datetime(
-                self.df_slice_hk.utc_time, format="%Y-%m-%d %H:%M:%S", utc=True
+                self.df_slice_hk.utc_time, utc=True, format="mixed",
             )
             x_axs_val = self.df_slice_hk.utc_time
         elif self.time_type == "Local":
             # Convert self.df_slice_hk.local_time and set the time-zone to the local time-zone
             self.df_slice_hk.local_time = pd.to_datetime(
-                self.df_slice_hk.local_time, format="%Y-%m-%d %H:%M:%S"
+                self.df_slice_hk.local_time, format="mixed"
             )
             x_axs_val = self.df_slice_hk.local_time
         axs1 = plt.subplot(gs[:])
@@ -404,7 +404,7 @@ def ts_plots(self):
         # legend_list = axs1.legend(handlelength=0, handletextpad=0, fancybox=False)
         # for item in legend_list.legendHandles:
         #     item.set_visible(False)
-        plt.tight_layout()
+        # plt.tight_layout()
         plt.close("all")
         return fig
 

From eb71d9a60a7ade68f06de6c320e6340064f4de28 Mon Sep 17 00:00:00 2001
From: Ramiz Qudsi <qudsiramiz@gmail.com>
Date: Wed, 30 Oct 2024 16:11:02 -0400
Subject: [PATCH 6/8] modified codes for better labels

---
 codes/luigi.cfg                 |  4 +--
 codes/lxi_file_read_funcs.py    | 16 +++++-----
 codes/lxi_gui.py                | 26 ++++++++--------
 codes/lxi_gui_plot_routines.py  | 53 ++++++++++++++++++++++++---------
 codes/lxi_load_plot_routines.py | 12 ++++++++
 5 files changed, 75 insertions(+), 36 deletions(-)

diff --git a/codes/luigi.cfg b/codes/luigi.cfg
index 2ee41d9..d1f17b9 100644
--- a/codes/luigi.cfg
+++ b/codes/luigi.cfg
@@ -13,9 +13,9 @@ v_min_thresh_entry = 0
 v_max_thresh_entry = 4
 v_sum_min_thresh_entry = 0
 v_sum_max_thresh_entry = 20
-cut_status = False
+cut_status = True
 curve_fit_status = False
-lin_corr_status = False
+lin_corr_status = True
 non_lin_corr_status = False
 cmap = viridis
 
diff --git a/codes/lxi_file_read_funcs.py b/codes/lxi_file_read_funcs.py
index 0355d68..0a8fc81 100644
--- a/codes/lxi_file_read_funcs.py
+++ b/codes/lxi_file_read_funcs.py
@@ -519,7 +519,7 @@ def read_binary_data_sci(
     df = pd.read_csv(save_file_name)
 
     # Convert the date column to datetime
-    df["Date"] = pd.to_datetime(df["Date"], format="mixed")
+    df["Date"] = pd.to_datetime(df["Date"])
 
     # Set index to the date
     df.set_index("Date", inplace=False)
@@ -1221,10 +1221,10 @@ def read_csv_sci(file_val=None, t_start=None, t_end=None):
 
     # Convert the Date column from string to datetime in utc
     try:
-        df["Date"] = pd.to_datetime(df["Date"], utc=True, format="mixed")
+        df["Date"] = pd.to_datetime(df["Date"], utc=True)
     except Exception:
         # Convert timestamp to datetime and set it to Date
-        df["Date"] = pd.to_datetime(df["TimeStamp"], unit="s", utc=True, format="mixed")
+        df["Date"] = pd.to_datetime(df["TimeStamp"], unit="s", utc=True)
 
     # Set the index to the time column
     df.set_index("Date", inplace=True)
@@ -1384,10 +1384,10 @@ def read_csv_hk(file_val=None, t_start=None, t_end=None):
 
     # Convert the Date column from string to datetime in utc
     try:
-        df["Date"] = pd.to_datetime(df["Date"], utc=True, format="mixed")
+        df["Date"] = pd.to_datetime(df["Date"], utc=True)
     except Exception:
         # Convert timestamp to datetime and set it to Date
-        df["Date"] = pd.to_datetime(df["TimeStamp"], unit="s", utc=True, format="mixed")
+        df["Date"] = pd.to_datetime(df["TimeStamp"], unit="s", utc=True)
 
     # Set the index to the time column
     df.set_index("Date", inplace=True)
@@ -1467,9 +1467,8 @@ def read_binary_file(file_val=None, t_start=None, t_end=None, multiple_files=Fal
 
         if t_start is not None and t_end is not None:
             # Convert t_start and t_end from string to datetime in UTC timezone
-            t_start = pd.to_datetime(t_start, utc=True, format="mixed")
-            t_end = pd.to_datetime(t_end, utc=True, format="mixed")
-
+            t_start = pd.to_datetime(t_start, utc=True)
+            t_end = pd.to_datetime(t_end, utc=True)
             try:
                 # Convert t_start and t_end from string to unix time in seconds in UTC timezone
                 t_start_unix = t_start.timestamp()
@@ -1487,6 +1486,7 @@ def read_binary_file(file_val=None, t_start=None, t_end=None, multiple_files=Fal
 
         # Make sure that file_val is a directory
         if not os.path.isdir(file_val):
+            print(f"\n \x1b[1;31;255m WARNING: {file_val} is not a directory. \x1b[0m")
             raise ValueError("file_val should be a directory.")
 
         # Get the names of all the files in the directory with*.dat or *.txt extension
diff --git a/codes/lxi_gui.py b/codes/lxi_gui.py
index 2b0270a..9687d09 100644
--- a/codes/lxi_gui.py
+++ b/codes/lxi_gui.py
@@ -102,7 +102,6 @@ def hist_plot_inputs(dpi=100):
             "use_fig_size": True,
             "dark_mode": dark_mode_var.get(),
         }
-
         llpr.load_all_hist_plots(**inputs)
     else:
         logger.info("No data to plot")
@@ -116,6 +115,7 @@ def ts_plot_inputs(
     columnspan=3,
     rowspan=2,
     plot_key=None,
+    display_time_label=False,
 ):
     """
     The function creates and updates the list of widget inputs as might be available from the GUI
@@ -131,10 +131,11 @@ def ts_plot_inputs(
         "column": column,
         "columnspan": columnspan,
         "rowspan": rowspan,
-        "fig_width": screen_width / (3.5 * dpi),
+        "fig_width": screen_width / (3 * dpi),
         "fig_height": screen_height / (4 * dpi),
         "dark_mode": dark_mode_var.get(),
         "time_type": time_type.get(),
+        "display_time_label": display_time_label,
     }
     llpr.load_ts_plots(**inputs)
 
@@ -255,7 +256,7 @@ def refresh_ts_plot():
 
         try:
             ts_plot_inputs(
-                plot_opt_entry=plot_opt_entry_7, row=5, column=0, rowspan=1, columnspan=3
+                plot_opt_entry=plot_opt_entry_7, row=5, column=0, rowspan=1, columnspan=3, display_time_label=True
             )
         except Exception:
             logger.exception(
@@ -266,7 +267,7 @@ def refresh_ts_plot():
 
         try:
             ts_plot_inputs(
-                plot_opt_entry=plot_opt_entry_8, row=5, column=3, rowspan=1, columnspan=3
+                plot_opt_entry=plot_opt_entry_8, row=5, column=3, rowspan=1, columnspan=3, display_time_label=True
             )
         except Exception:
             logger.exception(
@@ -277,7 +278,7 @@ def refresh_ts_plot():
 
         try:
             ts_plot_inputs(
-                plot_opt_entry=plot_opt_entry_9, row=5, column=6, rowspan=1, columnspan=3
+                plot_opt_entry=plot_opt_entry_9, row=5, column=6, rowspan=1, columnspan=3, display_time_label=True
             )
         except Exception:
             logger.exception(
@@ -448,7 +449,7 @@ def dark_mode_change():
 # Get the DPI of the screen. This is used to scale the figure size.
 dpi = root.winfo_fpixels("1i")
 # dpi = 100
-print(f"The DPI of the screen is: {dpi}")
+# print(f"The DPI of the screen is: {dpi}")
 # NOTE: This hack is necessary since I am using multiple monitors. This can be edited as we work on
 # a different machine.
 # Check whether the operating system is windows or linux, and assign the correct screen width and
@@ -468,15 +469,16 @@ def dark_mode_change():
         0.9 * root.winfo_screenwidth(),
         0.9 * root.winfo_screenheight(),
     )
-    print(f"The screen width and height are: {screen_width}, {screen_height} for platform: {platform.system()}")
 else:
     screen_width, screen_height = (
         0.8 * root.winfo_screenwidth(),
         0.8 * root.winfo_screenheight(),
     )
 
-# screen_width = 1000
-# screen_height = 800
+
+print(f"The screen width and height are: {screen_width}, {screen_height} for platform: {platform.system()}")
+screen_width = 3600
+screen_height = 1000
 print(
     "If the GUI size is messed up, uncomment the line 474 and 475 of lxi_gui.py code and set the "
     "screen_width and screen_height to your liking."
@@ -1123,21 +1125,21 @@ def dark_mode_change():
 plot_opt_entry_7.trace(
     "w",
     lambda *_: ts_plot_inputs(
-        plot_opt_entry=plot_opt_entry_7, row=5, column=0, rowspan=1, columnspan=3
+        plot_opt_entry=plot_opt_entry_7, row=5, column=0, rowspan=1, columnspan=3, display_time_label=True
     ),
 )
 
 plot_opt_entry_8.trace(
     "w",
     lambda *_: ts_plot_inputs(
-        plot_opt_entry=plot_opt_entry_8, row=5, column=3, rowspan=1, columnspan=3
+        plot_opt_entry=plot_opt_entry_8, row=5, column=3, rowspan=1, columnspan=3, display_time_label=True
     ),
 )
 
 plot_opt_entry_9.trace(
     "w",
     lambda *_: ts_plot_inputs(
-        plot_opt_entry=plot_opt_entry_9, row=5, column=6, rowspan=1, columnspan=3
+        plot_opt_entry=plot_opt_entry_9, row=5, column=6, rowspan=1, columnspan=3, display_time_label=True
     ),
 )
 
diff --git a/codes/lxi_gui_plot_routines.py b/codes/lxi_gui_plot_routines.py
index 32ca4e1..186b179 100644
--- a/codes/lxi_gui_plot_routines.py
+++ b/codes/lxi_gui_plot_routines.py
@@ -12,7 +12,7 @@
 import numpy as np
 import pandas as pd
 import pytz
-from matplotlib.ticker import MaxNLocator
+from matplotlib.ticker import MaxNLocator, FormatStrFormatter
 from mpl_toolkits.axes_grid1 import make_axes_locatable
 
 importlib.reload(global_variables)
@@ -203,6 +203,7 @@ def __init__(
         use_fig_size=None,
         dark_mode=None,
         time_type=None,
+        display_time_label=None,
     ):
         self.df_slice_hk = df_slice_hk
         self.df_slice_sci = df_slice_sci
@@ -239,6 +240,7 @@ def __init__(
         self.use_fig_size = use_fig_size
         self.dark_mode = dark_mode
         self.time_type = time_type
+        self.display_time_label = display_time_label
 
     def ts_plots(self):
         """
@@ -378,21 +380,44 @@ def ts_plots(self):
         )
 
         axs1.set_xlim(np.nanmin(x_axs_val), np.nanmax(x_axs_val))
-        # Rotate the x-axis labels by certain degrees and set their fontsize, if required
-        plt.setp(axs1.get_xticklabels(), rotation=0)
-        if self.time_type == "LEXI":
-            axs1.set_xlabel("Time [UTC]")
-        elif self.time_type == "UTC":
-            axs1.set_xlabel("Time [UTC]")
-        elif self.time_type == "Local":
-            # Get the local time zone of the system
-            local_timezone = datetime.datetime.now(pytz.timezone('UTC')).astimezone().tzinfo
-            axs1.set_xlabel(f"Time [{local_timezone}]")
-        # Avoid overlapping of the x-axis labels
-        fig.autofmt_xdate()
+        min_x_val_time = np.nanmin(x_axs_val)
+        max_x_val_time = np.nanmax(x_axs_val)
+        axs1.tick_params(axis="x", which="major", direction="in", length=2, width=1)
+        # Hide or display the x-axis label based on the display_time_label variable
+        if self.display_time_label:
+            # Rotate the x-axis labels by certain degrees and set their fontsize, if required
+            plt.setp(axs1.get_xticklabels(), rotation=0)
+            if self.time_type == "LEXI":
+                axs1.set_xlabel("Time [UTC]")
+            elif self.time_type == "UTC":
+                axs1.set_xlabel("Time [UTC]")
+            elif self.time_type == "Local":
+                # Get the local time zone of the system
+                local_timezone = datetime.datetime.now(pytz.timezone('UTC')).astimezone().tzinfo
+                axs1.set_xlabel(f"Time [{local_timezone}]")
+            # Avoid overlapping of the x-axis labels
+            fig.autofmt_xdate()
+            # At the bottom right, display the start and end time of the plot
+            axs1.text(
+                0.99,
+                0.02,
+                f"Start:{min_x_val_time.strftime('%Y-%m-%d %H:%M:%S')}\n End:{max_x_val_time.strftime('%Y-%m-%d %H:%M:%S')}",
+                horizontalalignment="right",
+                verticalalignment="bottom",
+                transform=axs1.transAxes,
+                color=edgecolor,
+                fontsize=8,
+                bbox=dict(facecolor=facecolor, edgecolor=edgecolor, alpha=0.5),
+            )
+        else:
+            axs1.set_xlabel("")
+            axs1.tick_params(axis="x", which="major", direction="in", length=2, width=1)
+            # Hide the x-tick labels
+            axs1.set_xticklabels([])
 
         axs1.set_ylabel(f"{unit_dict[self.plot_key]}")
-        axs1.tick_params(axis="both", which="major")
+        # Set the y-tick labels to 2 decimal places
+        axs1.yaxis.set_major_formatter(FormatStrFormatter("%.2f"))
         if self.plot_key == "Cmd_count" or self.plot_key == "HK_id":
             # For this case, make sure all the y-axis ticks are integers
             axs1.yaxis.set_major_locator(MaxNLocator(integer=True))
diff --git a/codes/lxi_load_plot_routines.py b/codes/lxi_load_plot_routines.py
index 3ec0f51..a8645fa 100644
--- a/codes/lxi_load_plot_routines.py
+++ b/codes/lxi_load_plot_routines.py
@@ -29,6 +29,7 @@ def load_ts_plots(
     fig_height=None,
     dark_mode=True,
     time_type="LEXI",
+    display_time_label=True,
 ):
     """
     Loads the time series plots for the selected time range and displays them in the GUI.
@@ -81,6 +82,7 @@ def load_ts_plots(
         ts_fig_width=fig_width,
         dark_mode=dark_mode,
         time_type=time_type,
+        display_time_label=display_time_label,
     ).ts_plots()
     canvas = FigureCanvasTkAgg(fig_ts, master=frame)
     canvas.get_tk_widget().pack(side="left", fill="both", expand=False)
@@ -232,6 +234,16 @@ def load_hist_plots(
     canvas.get_tk_widget().pack(side="left", fill="both", expand=True)
     canvas.draw()
 
+    # Create a new tkinter frame to display histograms
+    # new_root = tk.Tk(baseName=None, className="Histograms")
+    # new_root.title("Histograms")
+    # new_root.geometry("800x800")
+    # frame = tk.Frame(new_root)
+    # frame.pack(fill="both", expand=True)
+    # canvas = FigureCanvasTkAgg(fig_hist, master=frame)
+    # canvas.get_tk_widget().pack(side="left", fill="both", expand=True)
+    # canvas.draw()
+
 
 def load_hist_plots_volt(
     root=None,

From 429c662de0de7bd667181bc165236a8bdd0586a0 Mon Sep 17 00:00:00 2001
From: Ramiz Qudsi <qudsiramiz@gmail.com>
Date: Wed, 30 Oct 2024 16:15:20 -0400
Subject: [PATCH 7/8] minor edit

---
 codes/lxi_gui.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/codes/lxi_gui.py b/codes/lxi_gui.py
index 9687d09..127e511 100644
--- a/codes/lxi_gui.py
+++ b/codes/lxi_gui.py
@@ -477,10 +477,10 @@ def dark_mode_change():
 
 
 print(f"The screen width and height are: {screen_width}, {screen_height} for platform: {platform.system()}")
-screen_width = 3600
-screen_height = 1000
+# screen_width = 3600
+# screen_height = 1000
 print(
-    "If the GUI size is messed up, uncomment the line 474 and 475 of lxi_gui.py code and set the "
+    "If the GUI size is messed up, uncomment the line 480 and 481 of lxi_gui.py code and set the "
     "screen_width and screen_height to your liking."
 )
 

From 88d71be1f4422fb0a1256f01d0ef549b6c3f9042 Mon Sep 17 00:00:00 2001
From: Ramiz Qudsi <qudsiramiz@gmail.com>
Date: Wed, 27 Nov 2024 13:44:21 -0500
Subject: [PATCH 8/8] typo edit

---
 codes/lxi_file_read_funcs.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/codes/lxi_file_read_funcs.py b/codes/lxi_file_read_funcs.py
index 0a8fc81..503a5d1 100644
--- a/codes/lxi_file_read_funcs.py
+++ b/codes/lxi_file_read_funcs.py
@@ -1453,7 +1453,7 @@ def read_binary_file(file_val=None, t_start=None, t_end=None, multiple_files=Fal
         ):
             raise ValueError(
                 "when multiple_files is True, both t_start and t_end must either be"
-                f"None or a valid time value. The vlaues provided are t_start ="
+                f"None or a valid time value. The values provided are t_start ="
                 f"{t_start} and t_end = {t_end}."
             )
         # If both t_start and t_end are None, raise a warning stating that the times are set to none