I own a google form and can access the form to edit it. When I use the “copy link” to send it to myself to fill it out, it’s just a blank page. I click through “Next” and “back” and nothing ever appears. This form has worked for me in the past.

I own a google form and can access the form to edit it. When I use the “copy link” to send it to myself to fill it out, it’s just a blank page. I click through “Next” and “back” and nothing ever appears. This form has worked for me in the past.

I own a google form and can access the form to edit it. When I use the “copy link” to send it to myself to fill it out, it’s just a blank page. I click through “Next” and “back” and nothing ever appears. This form has worked for me in the past.

I own a google form and can access the form to edit it. When I use the “copy link” to send it to myself to fill it out, it’s just a blank page. I click through “Next” and “back” and nothing ever appears. This form has worked for me in the past.

I own a google form and can access the form to edit it. When I use the “copy link” to send it to myself to fill it out, it’s just a blank page. I click through “Next” and “back” and nothing ever appears. This form has worked for me in the past.

I own a google form and can access the form to edit it. When I use the “copy link” to send it to myself to fill it out, it’s just a blank page. I click through “Next” and “back” and nothing ever appears. This form has worked for me in the past.

I own a google form and can access the form to edit it. When I use the “copy link” to send it to myself to fill it out, it’s just a blank page. I click through “Next” and “back” and nothing ever appears. This form has worked for me in the past.

I’m not able to pass the value from dtguia to the bank. If I remove this input it works normally with only 1 field, but with 2 fields it’s not working. Could someone help me?

# Perform the joins df_joined = df_pln_mbr_elig.alias(“MEPE”) .join(df_cmn_cd.alias(“cd”), (col(“MEPE.C1_Pd_Cgy_Cd_Sk”) == col(“cd.Cmn_Cd_Sk”)) & (col(“cd.Vld_to_ts”) == ‘9999-12-31T23:59:59.999+0000’), “inner”) .join(df_pln_mbr_dtl.alias(“mem”), (col(“MEPE.Pln_Mbr_Sk”) == col(“mem.Pln_Mbr_Sk”)) & (col(“mem.Vld_To_Ts”) == ‘9999-12-31T23:59:59.999+0000’), “inner”) .join(df_pln_mbr_enrl_arr.alias(“MEES”), (col(“MEPE.Pln_Mbr_Sk”) == col(“MEES.Pln_Mbr_Sk”)) & (col(“MEES.Vld_To_Ts”) == ‘9999-12-31T23:59:59.999+0000’) & ((col(“MEES.Mbr_Eff_Dt”).between(col(“MEPE.Elig_Eff_Ts”), col(“MEPE.Elig_Tmt_Ts”))) | (col(“MEES.Mbr_Tmt_Dt”).between(col(“MEPE.Elig_Eff_Ts”), col(“MEPE.Elig_Tmt_Ts”)))), “left”) # Apply the transformations and select the required columns df_result = df_joined.select( col(“MEPE.Grp_Id”).alias(“Grp_Id”), col(“mem.Pin_Mbr_Id”).alias(“Pin_Mbr_Id”), col(“cd.Cd”).alias(“ProductCategoryCode”), […]

My pattern currently allows letters and does not allow spaces and numbers, intentionally. However, I would like to allow characters such as !@#$%^&*()_+=-[]|}{;'”:,./?>< for my pattern and input type. How would I doe this?