clam | Quickly turn command-line applications | REST library

by proycon Python Version: v3.1.4 License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | clam Summary

clam is a Python library typically used in Web Services, REST, Swagger applications. clam has build file available, it has a Strong Copyleft License and it has high support. However clam has 23 bugs and it has 3 vulnerabilities. You can download it from GitHub.

Quickly turn command-line applications into RESTful webservices with a web-application front-end. You provide a specification of your command line application, its input, output and parameters, and CLAM wraps around your application to form a fully fledged RESTful webservice.

Support

Quality

Security

License

Reuse

Support

clam has a highly active ecosystem.

It has 111 star(s) with 16 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

There are 16 open issues and 88 have been closed. On average issues are closed in 177 days. There are no pull requests.

It has a negative sentiment in the developer community.

The latest version of clam is v3.1.4

Quality

clam has 23 bugs (1 blocker, 0 critical, 16 major, 6 minor) and 579 code smells.

Security

clam has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

clam code analysis shows 3 unresolved vulnerabilities (3 blocker, 0 critical, 0 major, 0 minor).

There are 131 security hotspots that need review.

License

clam is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

clam releases are available to install and integrate.

Build file is available. You can build the component from source.

clam saves you 6181 person hours of effort in developing the same functionality from scratch.

It has 13244 lines of code, 579 functions and 83 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed clam and discovered the below as its top functions. This is intended to give you an instant insight into clam implemented functionality, and help decide if they suit your requirements.

Parse the CLAM XML document
Create a new Inputtemplate from an XML node
Create a profile from an XML node
Create a constraint from an XML node
Get a CLAM output file
Return the path to a project
Download an archive
Set default values
Prints an error message
Get file from public storage
Raise an error
Load configuration file
Handle GET request
Generates a program that matches the given parameters
Tries to create project directories
Decorator to require authentication
Create a Parameter object from an XML node
Calculate statistics for a given file
Update index
Delete a project
Verify the authentication
Get information about a project
Add input file to project
Decorator to require login headers
Generates an output file for this output template
Show an admin action
Get an input file

Get all kandi verified functions for this library.

clam Key Features

No Key Features are available at this moment for clam.

clam Examples and Code Snippets

No Code Snippets are available at this moment for clam.

Community Discussions

Trending Discussions on clam

Change ttk Entry focus color - Python

Plotting continuous distribution in horizontal bar plot

Why does my Tkinter Scrollbar's bar fill entire length of my window?

Multiple variable distribution plot using ggplot2

incorrect button width using grid in tkinter

Tkinter Treeview scrollbar under the column labels

Could not write data to a tkinter table from the other class

Bug in animation when loading List asynchronously

Python - "'function' object is not iterable " in GUI Combobox with multiple functions case

R, Scale histogram counts by a value from another column

QUESTION

Change ttk Entry focus color - Python

Asked 2022-Mar-20 at 16:38

I am trying to change the focus color of a ttk.Entry widget in python (blue border):

I know that we can change the focus color of the notebook tabs with style.configure('Tab', focuscolor='red'), so I wonder how to do it with an entry widget?

Here is my code:

...

ANSWER

Answered 2022-Mar-20 at 16:38

As suggested by @Thingamabobs and @acw1668 It's possible to change the focus color of a ttk.Entry by mapping the focus state in its style property. Here is the working code:

Source https://stackoverflow.com/questions/71472619

QUESTION

Plotting continuous distribution in horizontal bar plot

Asked 2022-Mar-14 at 18:59

This was my earlier question where it was solved using multiple distribution.

I want to plot the continuous variable like age or tumor mutation burden as shown in first figure with a range like a window such 20-30 age group or some mutational burden range

The frequencies are calculated for all the variables of the metadata, but when plotting the age is not mapped to the final plot as show in the second plot.

Does the age need to be converted into other class before plotting?

...

ANSWER

Answered 2022-Mar-14 at 09:14

Rename Diagnosis-Age and use cut to convert to a factor. Add labels as required for appearance of age groups in legend.

Note I have swapped name and perc in the call to aes to avoid the call to coord_flip.

Source https://stackoverflow.com/questions/71463663

QUESTION

Why does my Tkinter Scrollbar's bar fill entire length of my window?

Asked 2022-Mar-06 at 02:42

I have working horizontal scrollbar, but for some reason it does not rezise the "visible" bar. It does scroll perfectly, but I even didin't notice there was a bar before I added style clam.

Here is my code:

...

ANSWER

Answered 2022-Mar-06 at 02:42

There are two issues in your code:

my_canvas.configure(yscrollcommand=my_scrollbar.set) should be my_canvas.configure(xscrollcommand=my_scrollbar.set)
when adding items to seccond_frame, it is seccond_frame get resized, not my_canvas. So you need to bind on seccond_frame instead of my_canvas

Source https://stackoverflow.com/questions/71365998

QUESTION

Multiple variable distribution plot using ggplot2

Asked 2022-Mar-02 at 12:15

I have different categorical variable which I would like to show in terms of distribution.

So in my data-frame I have like 147 patients and their traits such as age,gender,disease subtypes etc etc.

This is my dataframe subset

...

ANSWER

Answered 2022-Mar-02 at 12:15

library(tidyverse)
library(ggnewscale)

plot_meta <- structure(list(
  patient = structure(c(
    36L, 33L, 122L, 95L, 66L,
    49L
  ), .Label = c(
    "TCGA-AB-2805", "TCGA-AB-2806", "TCGA-AB-2808",
    "TCGA-AB-2810", "TCGA-AB-2811", "TCGA-AB-2812", "TCGA-AB-2813",
    "TCGA-AB-2814", "TCGA-AB-2815", "TCGA-AB-2817", "TCGA-AB-2818",
    "TCGA-AB-2819", "TCGA-AB-2820", "TCGA-AB-2821", "TCGA-AB-2822",
    "TCGA-AB-2823", "TCGA-AB-2825", "TCGA-AB-2826", "TCGA-AB-2828",
    "TCGA-AB-2830", "TCGA-AB-2834", "TCGA-AB-2835", "TCGA-AB-2836",
    "TCGA-AB-2839", "TCGA-AB-2840", "TCGA-AB-2841", "TCGA-AB-2842",
    "TCGA-AB-2843", "TCGA-AB-2844", "TCGA-AB-2845", "TCGA-AB-2846",
    "TCGA-AB-2847", "TCGA-AB-2849", "TCGA-AB-2851", "TCGA-AB-2853",
    "TCGA-AB-2856", "TCGA-AB-2857", "TCGA-AB-2858", "TCGA-AB-2859",
    "TCGA-AB-2861", "TCGA-AB-2862", "TCGA-AB-2863", "TCGA-AB-2865",
    "TCGA-AB-2866", "TCGA-AB-2867", "TCGA-AB-2869", "TCGA-AB-2870",
    "TCGA-AB-2871", "TCGA-AB-2872", "TCGA-AB-2873", "TCGA-AB-2874",
    "TCGA-AB-2875", "TCGA-AB-2876", "TCGA-AB-2877", "TCGA-AB-2878",
    "TCGA-AB-2880", "TCGA-AB-2881", "TCGA-AB-2882", "TCGA-AB-2883",
    "TCGA-AB-2884", "TCGA-AB-2885", "TCGA-AB-2886", "TCGA-AB-2888",
    "TCGA-AB-2889", "TCGA-AB-2890", "TCGA-AB-2891", "TCGA-AB-2892",
    "TCGA-AB-2893", "TCGA-AB-2894", "TCGA-AB-2895", "TCGA-AB-2896",
    "TCGA-AB-2897", "TCGA-AB-2898", "TCGA-AB-2899", "TCGA-AB-2900",
    "TCGA-AB-2901", "TCGA-AB-2908", "TCGA-AB-2910", "TCGA-AB-2911",
    "TCGA-AB-2912", "TCGA-AB-2913", "TCGA-AB-2914", "TCGA-AB-2915",
    "TCGA-AB-2916", "TCGA-AB-2917", "TCGA-AB-2918", "TCGA-AB-2919",
    "TCGA-AB-2920", "TCGA-AB-2921", "TCGA-AB-2924", "TCGA-AB-2925",
    "TCGA-AB-2927", "TCGA-AB-2928", "TCGA-AB-2929", "TCGA-AB-2930",
    "TCGA-AB-2931", "TCGA-AB-2932", "TCGA-AB-2933", "TCGA-AB-2934",
    "TCGA-AB-2935", "TCGA-AB-2936", "TCGA-AB-2937", "TCGA-AB-2938",
    "TCGA-AB-2939", "TCGA-AB-2940", "TCGA-AB-2941", "TCGA-AB-2942",
    "TCGA-AB-2943", "TCGA-AB-2944", "TCGA-AB-2946", "TCGA-AB-2948",
    "TCGA-AB-2949", "TCGA-AB-2950", "TCGA-AB-2952", "TCGA-AB-2955",
    "TCGA-AB-2956", "TCGA-AB-2959", "TCGA-AB-2963", "TCGA-AB-2965",
    "TCGA-AB-2966", "TCGA-AB-2970", "TCGA-AB-2971", "TCGA-AB-2973",
    "TCGA-AB-2975", "TCGA-AB-2976", "TCGA-AB-2977", "TCGA-AB-2979",
    "TCGA-AB-2980", "TCGA-AB-2981", "TCGA-AB-2982", "TCGA-AB-2983",
    "TCGA-AB-2984", "TCGA-AB-2986", "TCGA-AB-2987", "TCGA-AB-2988",
    "TCGA-AB-2990", "TCGA-AB-2991", "TCGA-AB-2992", "TCGA-AB-2994",
    "TCGA-AB-2995", "TCGA-AB-2996", "TCGA-AB-2998", "TCGA-AB-2999",
    "TCGA-AB-3000", "TCGA-AB-3001", "TCGA-AB-3002", "TCGA-AB-3007",
    "TCGA-AB-3008", "TCGA-AB-3009", "TCGA-AB-3011", "TCGA-AB-3012"
  ), class = "factor"), Sex = structure(c(2L, 2L, 1L, 1L, 2L, 2L), .Label = c("Female", "Male"), class = "factor"), FAB = structure(c(
    5L,
    1L, 5L, 3L, 2L, 4L
  ), .Label = c(
    "M0", "M1", "M2", "M3", "M4",
    "M5", "M6", "M7", "nc"
  ), class = "factor"), `Diagnosis-Age` = c(
    63L,
    39L, 76L, 62L, 42L, 42L
  ), `Bone-Marrow-Blast-Percentage` = c(
    82L,
    83L, 91L, 72L, 68L, 88L
  ), Cytogenetics = structure(c(
    75L, 93L,
    51L, 27L, 21L, 57L
  ), .Label = c(
    "37~49,XY,+Y,der(1)add(1)(p13)del(1)(q21q25),-5,der(7)inv(7)(p15q11.2)?inv(7)(q22q32),+17,add(17)(p13),+21,+mar[cp20]",
    "39~47,XX,del(5)(q13q33),-7,der(8)t(8;?8;8)(p23;?p11.2p23;q11.2),der(14)t(1;14)(p12;p11.2)der(1)t(7;16)(p15;q22),+2mar[cp19]",
    "41~44,X,?i(X)(p10),-7,der(12)t(8;12)(q11.2;p11.2),-8 [cp11]/46,XX[8[",
    "42,XY,-5,-7,add(12)(p13),t(14;15)(q10;q10),der(17)t(5;17)(p13;p11.2),-18[6]/40,idem,-11,-add(12)(p13),der(12)t(?;12)(?;p13),-19[6]/41,idem,-der(17)[3]/41,idem,-der(17),+mar1,+mar[3]/41,idem,der(1)der(1)(p12)add(1)(p12),+der(1)(q21)add(1)(q21),-3,-8[2]",
    "43,XY-3,del(5)(q12q33),-7,der(10)t(10;11)(q26;q13),-12,-18,+2mar[20]",
    "44-45,X,-Y,-5,add(16)(q22),-17,-18,iso(21),+mars[cp5]/82-84,XX,-Y,-3,-4,-11,-12,-19,-21,+21[cp5}",
    "44~46,XX,del(11)(q23),der(19)?t(11;19)(q23;p13.1)[cp11]/44~45,XX,-19[cp4]/46,XX [5]",
    "44~47,XX,t(1;15)(q32;q26)[14],del(5)(q13q33)[19],-7[20],+8[7],del(12)(p11.2p11.2)[15],del(17)(q21)[8],der(22)t(1;22)(p13;p11.2)[20],+mar[13][cp20]",
    "44~47,XY,del(5)(q22q35)[20],-7[14],-8[6],der(12)t(10;12)(p11.2q21)[2],add(14)(p12)[11],-17[13],der(17)t(10;17)(q11.2;p13)[14],-18[7],add(18)(p11.2)[7],-21[10],i(21)(q10)[4],-22[4],+mar[10],+mar1x2[6][cp20]",
    "45,X,-X,t(8;21)(q22;q22)[20]", "45,X,-Y, t(8;7;21)(q22;p15;q22[22]/46,XY[3]",
    "45,X,-Y,t(8;21)(q22;q22)[13]/45,idem,del(9)(q22;q32)[7]", "45,X,-Y,t(8;21)(q22;q22)[19]/46,XY[1]",
    "45,X,-Y[3]/46,XY [17]", "45,XX-7[5]-only 5 metaphases", "45,XX,-7,t(9;11)(p22;q23)[19]/46,XX[1]",
    "45,XX,-7[12]/46,XX[8]", "45,XX,-7[20]", "45,XY,-7, t(9;22)(q34;q11.20) [19]/46,XY[1]",
    "45,XY,-7[20]", "45,XY,der(7)(t:7;12)(p11.1;p11.2),-12,-13,+mar[19]/46,XY[1]",
    "45~46,XY,add(X)(q22)[7],Y[4],der(5)t(5;17)(q13;21)[18],-7[18],+8[17],del(12)(q23)[16],-17[18],add(18)(p11.2)[14][cp18]",
    "46, XX[14]", "46, XX[15]", "46, XX[16]", "46, XX[19]", "46, XX[20]",
    "46, XY[15]", "46, XY[20]", "46,XX,1~50dmin[12]/46,idem,der(6)t(6;?)(q22;?)[2]/46,XX[6]",
    "46,XX,9qh+[20]", "46,XX,del(3)(q23q26.2),der(7)t(1:7)(q32;q32),del(10)(q22q25),t(13;16)(q34;p11.2)dup(21)(q22)[cp20]",
    "46,XX,del(5)(q11.2q33)[1]/48~52,idem,+1,+?del(5)(q15q33),+11,+11,?t(12;22)(p13;q12),-13,-17,+i(22)(q10),+i(22)(q10),+mar[cp19]",
    "46,XX,del(5)(q22q33)[4]/46,XX[16]", "46,XX,i(17)(q10)[1]/45,sl-7[2]/48,sl,+13,+19[3]/46,XX[15]",
    "46,XX,inv(16)(p13q22)[15]/46,XX[2]", "46,XX,inv(16)(p13q22)[19]/46,XX[1]",
    "46,XX,inv(16)(p13q22)[20]", "46,XX,inv(16)(p13q22)[5]/46,idem,t(3;3)(p13;q?28)[5]/46,XX[6]",
    "46,XX,t(15;17)(q22;q21.1)[19]/47,idem,+8 [1]", "46,XX,t(15;17)(q22;q21),t(16;19)(p13.3;p13.1)[17]/46,XX[3]",
    "46,XX,t(15;17)(q22;q21)[11]/46,XX[9]", "46,XX,t(15;17)(q22;q21)[12]/46,XX[8]",
    "46,XX,t(15;17)(q22;q21)[20]", "46,XX,t(8;21)(q22;q22)[17]/46,XX[3]",
    "46,XX,t(8;21)(q22;q22)[20]", "46,XX,t(8;21)[15]/46,idem,del(9)(q12q22)[5]",
    "46,XX[15]", "46,XX[18]", "46,XX[19]/46,XX,add(7)(p?22)[1]",
    "46,XX[20]", "46,XX+13,21[cp17]/46,XX[3]", "46,XY,9qh+[19]",
    "46,XY,del(11)(p12)[2]/46,XY[18]", "46,XY,del(20)(q11.2)[23]/92,XXYY,del(20)(q11.2)x2[2]/46,XY[3]",
    "46,XY,del(7)(q21q36)[18]/46,XY[2]", "46,XY,del(9)(q13:q22),t(11:21)(p13;q22),t(15;17)(q22;q210[20]",
    "46,XY,i(17)(q10)[15]/47,XY,idem+13[3]/46,XY[2]", "46,XY,inv(16)(p13;q22)[20]",
    "46,XY,inv(16)(p13q22)[17]/46,XY[3]", "46,XY,inv(16)(p13q22)[9]/46,XY[10]",
    "46,XY,t(11;19)(q23;p13)[17]/46,XY,t(11;19)(q23;p13),inv(12)(p12p13)[3]",
    "46,XY,t(11;19)(q23;p13)[20]", "46,XY,t(15;17)(q22;q21)[19]/46,XY[1]",
    "46,XY,t(15;17)(q22;q21)[20]", "46,XY,t(15;17)(q22:q21)[11]/46,XY[9]",
    "46,XY,t(2;4)(q34;q21)inv(16)(p13q22) [20]", "46,XY,t(6;11)(q27;q23)[15]",
    "46,XY,t(9;11)(p22;q23)[7]/47,XY,t(9;11)(p22;q23)[7]/46,XY[4]",
    "46,XY,t(9;22)(q34;q11.2)[13]/34~37,idem,-3,del(4),-4,-5,-7,-9,-10,t?(11;12),-12,-14,-14,-16,-17,-22[cp6]/46,XY[1]",
    "46,XY,t(9;22)(q34;q11.2[4]/50,idem,+8,+10,+21,+der(22)(t(9;22)(q34;q11.2)[16]",
    "46,XY[13]", "46,XY[15]", "46,XY[19]", "46,XY[20]", "46,XY[30]",
    "46~49,XY,del(3)(p14),del(5)(p11.2q33),del(17)(q21q21),add(21)(p11.2),+22,mar[cp20]",
    "47,XX,+der(5)t(2;5)(p11.2;q11.2)?,t(8;16)(p11.2;p13.3)[19]",
    "47,XX,i(11)(q10)[18]/46,XX [2]", "47,XX,t(15;17)(q22:q21)+mar[20]",
    "47,XX+11 [20]", "47,XX+8 [20]", "47,XXY [17]", "47,XY,+13[5]/46,XY[15]",
    "47,XY,+21 [6]/46,XY[13]", "47,XY,+21[11]/48,XY,+3,+21[8]", "47,XY,+22[10]/47,XY,+8[7]/45,XY,del(3)(p21),del(4)(p12p15),-7,?dup(7)(q11.2q36)[3]",
    "47,XY,+8 [10]/46,XY [10]", "47,XY,+8 [19]", "47,XY,+8 [20]",
    "47,XY,+8[15]/46,+8,-17[3]", "47,XY,+9[10]/46,XY[10]", "47,XY,del(5)(q22q33),t(10;11)(p13~p15;q22~23),i(17)(q10)[3]/46,XY[17]",
    "47,XY,del(7)(q22),+8,t(15;17)(q22;q21)[18]/46,XY,del(7)(q22),t(15;17)(q22;q21)[2]",
    "47,XY+8 [15]/48,XY+8+8[4]/46,XY[1]", "48,XY,+8,+8[16]/46,XY[4]",
    "52~54,XY,+2,+4,+6,+8,del(11)(q23),+19,+19,+21[17]/46,XY[3]",
    "53~56,XY,+1,del(2)(q33q34),+8,+10,+11x2,+13x1-2,+14,del(17)(p11.2),+19,add(21)(q22),+22[cp20]",
    "incomplete-46,XY,del(12)(p11.20[2]/46,XY[3]", "N.D.", "ND",
    "Outside hospital with inv(16)"
  ), class = "factor"), `Cytogenetic-Code--Other-` = structure(c(
    8L,
    3L, 8L, 8L, 3L, 9L
  ), .Label = c(
    "BCR-ABL1", "CBFB-MYH11", "Complex Cytogenetics",
    "Intermediate Risk Cytogenetic Abnormality", "MLL translocation, poor risk",
    "MLL translocation, t(9;11)", "N.D.", "Normal Karyotype", "PML-RARA",
    "Poor Risk Cytogenetic Abnormality", "RUNX1-RUNX1T1"
  ), class = "factor"),
  Induction = structure(c(11L, 4L, 1L, 8L, 4L, 9L), .Label = c(
    "7+3",
    "7+3, dauna", "7+3, IT", "7+3+3", "7+3+3, gleevec", "7+3+3, then 5+2+2",
    "7+3+3+PSC", "7+3+AMD", "7+3+ATRA", "7+3+dauno", "7+3+Genasense",
    "7+3+study drug", "7+4+ATRA", "Azacitidine", "CLAM", "Cytarabine only",
    "Decitabine", "Decitabine then 7+3", "Hydrea & Idarubicin",
    "Hydrea, ATRA started", "hydrea, didn't get add'l chemo",
    "LBH/Decitabine", "low dose Ara C", "no treatment", "Revlimid",
    "Revlmd then Decitbne,7+3,5+2"
  ), class = "factor")
), row.names = c(
  NA,
  6L
), class = "data.frame")

df <-
  plot_meta %>%
  mutate(across(everything(), as.character)) %>%
  pivot_longer(everything()) %>%
  count(name, value) %>%
  group_by(name) %>%
  mutate(perc = n / sum(n) * 100)
df
#> # A tibble: 38 × 4
#> # Groups:   name [8]
#>    name                         value                                    n  perc
#>                                                             
#>  1 Bone-Marrow-Blast-Percentage 68                                       1  16.7
#>  2 Bone-Marrow-Blast-Percentage 72                                       1  16.7
#>  3 Bone-Marrow-Blast-Percentage 82                                       1  16.7
#>  4 Bone-Marrow-Blast-Percentage 83                                       1  16.7
#>  5 Bone-Marrow-Blast-Percentage 88                                       1  16.7
#>  6 Bone-Marrow-Blast-Percentage 91                                       1  16.7
#>  7 Cytogenetic-Code--Other-     Complex Cytogenetics                     2  33.3
#>  8 Cytogenetic-Code--Other-     Normal Karyotype                         3  50  
#>  9 Cytogenetic-Code--Other-     PML-RARA                                 1  16.7
#> 10 Cytogenetics                 45,XY,der(7)(t:7;12)(p11.1;p11.2),-…     1  16.7
#> # … with 28 more rows

df %>%
  ggplot(aes(name, perc)) +
  geom_col(data = ~ filter(.x, name == "FAB") %>% rename(FAB = value), mapping = aes(fill = FAB)) +
  new_scale_fill() +
  geom_col(data = ~ filter(.x, name == "Sex") %>% rename(Sex = value), mapping = aes(fill = Sex)) +
  new_scale_fill() +
  geom_col(data = ~ filter(.x, name == "Induction") %>% rename(Induction = value), mapping = aes(fill = Induction)) +
  coord_flip()

Source https://stackoverflow.com/questions/71318781

QUESTION

incorrect button width using grid in tkinter

Asked 2022-Feb-16 at 11:28

Somehow the buttons placed using grid method will be much bigger than the cell width defined by columnconfigure. I tried to place some test labels in the same way, and it worked as expected. Is there any way to get correct button width like these labels did?

Below is the simplified code to the question:

...

ANSWER

Answered 2022-Feb-16 at 11:28

weight is just a guideline to the layout manager how to distribute available spaces. Since there is no widget in cell (row 1, column 0), it may not get the required space.

It can be enforced by adding uniform=1 to those columnconfigur(...):

Source https://stackoverflow.com/questions/71140015

QUESTION

Tkinter Treeview scrollbar under the column labels

Asked 2022-Jan-27 at 04:13

I am trying to insert a vertical scrollbar in a treeview such that it is displayed under the columns labels of the treeview and not besides/next to the labels. I've tried adding pady in the scrollbar widget yet that still does not place it under the columns labels (just creates an offset from the top). Any help is greatly appreciated (looking at your @Bryan Oakley). I've tried numerous padding techniques to make the vertical scrollbar start below the columns labels yet nothing has worked thus far. Here is a minimal working code:

...

ANSWER

Answered 2022-Jan-27 at 04:13

You can put the scrollbar at the right side of the cell of tree:

Source https://stackoverflow.com/questions/70872946

QUESTION

Could not write data to a tkinter table from the other class

Asked 2021-Nov-25 at 07:45

I am trying to add my GUI and get data from the simple scanner demo application in python. This scanner demo application handles various events like scan event, scanner_connected, scanner_disconnected etc.

Initially I'm calling the GUI class in the demo application to initiate the GUI. When the scan event raises , I take the data and pass the data to a Bridge class. After that I call a GUI function called write_data which is responsible to print the data to a table. This write_table function calls the Bridge class to get the updated scan data

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ANSWER

Answered 2021-Oct-28 at 13:38

The write_data function is not indented and is not a method of the class mainGUI. (This was fixed)

You try to access the self.tree variable before it is initialized.

The line where you call self.tree:

Source https://stackoverflow.com/questions/69753660

QUESTION

Bug in animation when loading List asynchronously

Asked 2021-Nov-19 at 22:27

I'm trying to make two List components: one of them is static and small, the second is incredibly large and dynamic. In the first List I store food categories: Alcoholic products, Soups, Cereals, etc. In the second List, the word is searched directly from the database - it can be anything: a dish or a category of dishes. Below is the code - it displays the start page. Initially, the first static and small List is located on it, as well as the Search component (Navigationview.seacrhable()). When you type a word into the search bar, the first List disappears and the second one appears. At the moment, both sheets are loaded asynchronously. This is necessary because the second sheet is really big (thousands of rows). This is where my problem begins. Sometimes, when you type a word into the search bar, a copy of this sheet appears on top of it, as shown in the image. It only happens for a fraction of a second, but it's still noticeable. The problem is most likely due to asynchronous loading, before I added it, the List was loading super slowly, but without such bugs.

My minimal reproducible example:

ContentView.sfiwt

Main List, displaying the food categories available for selection.

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ANSWER

Answered 2021-Nov-19 at 22:27

Besides using id for the IDs, as mentioned in the comments, you can do some refactoring to get SwiftUI to not re-render as much of the view hierarchy and instead reuse components. For example, you have an if condition and in each you have separate Section, ForEach, etc components. Instead, you could render the content of the ForEach based on the state of the search:

Source https://stackoverflow.com/questions/70026542

QUESTION

Python - "'function' object is not iterable " in GUI Combobox with multiple functions case

Asked 2021-Nov-18 at 15:22

The purpose of the codes is

For each of three questions (GUI interface with Combobox style), I have to choose one item.
Each item to the corresponding question represents a set of numbers.
Based on what I chose for three questions, the codes will calculate the intersection of sets and show the answer on the screen.

Vall, Vcs, V360...are vectors of intergers. Suppose they are given. Ex: Vall = [6,8,13,17,23,38]... Of course, all of vectors are of the same dimension.

Codes:

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ANSWER

Answered 2021-Nov-18 at 15:22

The only problem I see is you are dumping the entire function call in the command argument. That's not how it works. command should equal a reference to the function you want to call, like this:

command=set_intersection

However, you have a bunch of args that you want to pass. You could make those args global or you can just wrap the whole thing in a lambda. One way to do it is like this:

command = lambda r1=recc1, r2=recc2, r3=recc3: set_intersection(r1,r2,r3)

when you do this: command = set_intersection(recc1,recc2,recc3) you are telling python that command equals my_list (i.e. the return from your set_intersection function). command is supposed to equal a function, not a list, and that's why it is telling you that "function object is not iterable". What it is saying (in clearer terms) is: "you can't assign a list where I expect a function"

Source https://stackoverflow.com/questions/70021449

QUESTION

R, Scale histogram counts by a value from another column

Asked 2021-Nov-18 at 01:16

Context: I conducted clam surveys at different sites and measured their sizes. The surveys did not include the same total area due to differences in low tides, extent of the clam bed, etc. Therefore, some sites may have high clam density (#/m^2) but low area, therefore the total count at is low, while others may have the opposite characteristics (or any other combination).

I am trying to create a faceted histogram to show size frequencies at each different site while removing the effect of the amount of area surveyed at each site. Essentially, I want frequencies that reflect each site's density (occurrences per unit area) so I can compare across sites and see overall differences in size distribution AND relative frequency.

Here are some example data:

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ANSWER

Answered 2021-Nov-18 at 01:16

Does this do what you want?

Source https://stackoverflow.com/questions/70013210

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